The EU Birds Directive and the African-Eurasian Waterbird Agreement provide an adequate legal framework for sustainable management of migratory waterbird populations. The main shortcoming of both instruments is that it leaves harvest decisions of a shared resource to individual Member States and Contracting Parties without providing a shared information base and mechanism to assess the impact of harvest and coordinate actions in relation to mutually agreed objectives.
A recent update of the conservation status of waterbirds in the EU shows that almost half of the populations of species listed on Annex II of the Birds Directive have a declining short-term trend and over half of them are listed in Columns A and B of AEWA. This implies that their hunting could either only continue under the framework of an adaptive harvest management plan or their hunting should be regulated with the view of restoring them in favourable conservation status.
We argue that a structured approach to decision-making (such as adaptive management) is needed, supported with adequate organisational structures at flyway scale. We review the experience with such an approach in North America and assess the applicability of a similar approach in the European context. We show there is no technical reason why adaptive harvest management could be not applied in the EU or even AEWA context.
We demonstrate that an informed approach to setting allowable harvests does not require detailed demographic information. Essential to the process, however, are estimates of either the observed growth rate from a monitoring program or the growth rate expected under ideal conditions. In addition, periodic estimates of population size are needed, as well as either empirical information or reasonable assumptions about the form of density dependence. We show that such information exists for many populations, but improvements are needed to improve geographic coverage, reliability and timely data availability.
We highlight the importance of the International Waterbird Census and specialised goose and seaduck monitoring in estimating population sizes and observed growth rate of the populations. We encourage further investments into the development of these schemes. We also recognise the importance of migration studies to improve our understanding of delineations of populations. We also highlight that, with a few exceptions, the available data does not allow the European Commission, competent authorities of the Members States or other AEWA Contracting Parties to assess levels of harvest and their sustainability and, therefore, regulate hunting accordingly. Therefore, we recommend that annual reporting on 2 harvest levels of waterbird populations would be gradually introduced in the EU and the AEWA region. We propose that future AEWA and EU action plans and management plans for Annex II species should apply the principles of adaptive harvest management framework and make provisions for setting up adequate monitoring and information management systems and organisational structures to manage the decision-making process. We suggest that internationally coordinated management structures are established to facilitate dialogue, learning and communication between stakeholders with different interests and cultural backgrounds.
","language":"English","publisher":"Wetlands International","usgsCitation":"Madsen, J., Guillemain, M., Nagy, S., Defos du Rau, P., Mondain-Monval, J., Griffin, C., Williams, J.H., Bunnefeld, N., Czajkowski, A., Hearn, R., Grauer, A., Alhainen, M., Middleton, A., and Johnson, F.A., 2015, Towards sustainable management of huntable migratory waterbirds in Europe, 44 p.","productDescription":"44 p.","startPage":"1","endPage":"43","ipdsId":"IP-062697","costCenters":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"links":[{"id":332137,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":301146,"type":{"id":15,"text":"Index Page"},"url":"https://europe.wetlands.org/publications/towards-sustainable-management-of-huntable-migratory-waterbirds-in-europe/"}],"publishingServiceCenter":{"id":8,"text":"Raleigh 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Rau, Pierre","contributorId":141132,"corporation":false,"usgs":false,"family":"Defos du Rau","given":"Pierre","email":"","affiliations":[{"id":13683,"text":"French National Hunting and Wildlife Agency (ONCFS)","active":true,"usgs":false}],"preferred":false,"id":548526,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Mondain-Monval, Jean-Yves","contributorId":141133,"corporation":false,"usgs":false,"family":"Mondain-Monval","given":"Jean-Yves","email":"","affiliations":[{"id":13683,"text":"French National Hunting and Wildlife Agency (ONCFS)","active":true,"usgs":false}],"preferred":false,"id":548527,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Griffin, Cy","contributorId":141134,"corporation":false,"usgs":false,"family":"Griffin","given":"Cy","email":"","affiliations":[{"id":13684,"text":"The Federation of Associations for Hunting and Conservation (FACE)","active":true,"usgs":false}],"preferred":false,"id":548528,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Williams, James Henty","contributorId":141135,"corporation":false,"usgs":false,"family":"Williams","given":"James","email":"","middleInitial":"Henty","affiliations":[{"id":13685,"text":"Aarhus University, Department of Bioscience","active":true,"usgs":false}],"preferred":false,"id":548529,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Bunnefeld, Nils","contributorId":141136,"corporation":false,"usgs":false,"family":"Bunnefeld","given":"Nils","email":"","affiliations":[{"id":13686,"text":"Biological and Environmental Sciences, University of Stirling","active":true,"usgs":false}],"preferred":false,"id":548530,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Czajkowski, Alexandre","contributorId":141137,"corporation":false,"usgs":false,"family":"Czajkowski","given":"Alexandre","email":"","affiliations":[{"id":13687,"text":"European 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that creates a complex fracture network with high surface area for efficient heat transfer. In 2010, shear stimulation was carried out in well 27-15 at Desert Peak geothermal field, Nevada, by injecting cold water at pressure less than the minimum principal stress. An order-of-magnitude improvement in well injectivity was recorded. Here, we describe a numerical model that accounts for injection-induced stress changes and permeability enhancement during this stimulation. In a two-part study, we use the coupled thermo-hydrological-mechanical simulator FEHM to: (i) construct a wellbore model for non-steady bottom-hole temperature and pressure conditions during the injection, and (ii) apply these pressures and temperatures as a source term in a numerical model of the stimulation. In this model, a Mohr-Coulomb failure criterion and empirical fracture permeability is developed to describe permeability evolution of the fractured rock. The numerical model is calibrated using laboratory measurements of material properties on representative core samples and wellhead records of injection pressure and mass flow during the shear stimulation. The model captures both the absence of stimulation at low wellhead pressure (WHP ≤1.7 and ≤2.4 MPa) as well as the timing and magnitude of injectivity rise at medium WHP (3.1 MPa). Results indicate that thermoelastic effects near the wellbore and the associated non-local stresses further from the well combine to propagate a failure front away from the injection well. Elevated WHP promotes failure, increases the injection rate, and cools the wellbore; however, as the overpressure drops off with distance, thermal and non-local stresses play an ongoing role in promoting shear failure at increasing distance from the well.","language":"English","publisher":"Elsevier","doi":"10.1016/j.ijrmms.2015.06.003","usgsCitation":"Dempsey, D., Kelkar, S., Davatzes, N., Hickman, S.H., and Moos, D., 2015, Numerical modeling of injection, stress and permeability enhancement during shear stimulation at the Desert Peak Enhanced Geothermal System: International Journal of Rock Mechanics and Mining Sciences, v. 78, p. 190-206, https://doi.org/10.1016/j.ijrmms.2015.06.003.","productDescription":"17 p.","startPage":"190","endPage":"206","ipdsId":"IP-065414","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":472392,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://www.osti.gov/biblio/1468563","text":"Publisher Index Page"},{"id":344012,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Nevada","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -118.68530273437499,\n 39.884450178234395\n ],\n [\n -117.56469726562499,\n 39.884450178234395\n ],\n [\n -117.56469726562499,\n 40.6056120582602\n ],\n [\n -118.68530273437499,\n 40.6056120582602\n ],\n [\n -118.68530273437499,\n 39.884450178234395\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"78","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59706fbae4b0d1f9f065a8d4","contributors":{"authors":[{"text":"Dempsey, David","contributorId":194844,"corporation":false,"usgs":false,"family":"Dempsey","given":"David","email":"","affiliations":[],"preferred":false,"id":705475,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kelkar, Sharad","contributorId":194845,"corporation":false,"usgs":false,"family":"Kelkar","given":"Sharad","email":"","affiliations":[],"preferred":false,"id":705476,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Davatzes, Nick","contributorId":194846,"corporation":false,"usgs":false,"family":"Davatzes","given":"Nick","email":"","affiliations":[],"preferred":false,"id":705477,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hickman, Stephen H. 0000-0003-2075-9615 hickman@usgs.gov","orcid":"https://orcid.org/0000-0003-2075-9615","contributorId":2705,"corporation":false,"usgs":true,"family":"Hickman","given":"Stephen","email":"hickman@usgs.gov","middleInitial":"H.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true},{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":705474,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Moos, Daniel","contributorId":194847,"corporation":false,"usgs":false,"family":"Moos","given":"Daniel","email":"","affiliations":[],"preferred":false,"id":705478,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70142503,"text":"70142503 - 2015 - Estimating switchgrass productivity in the Great Plains using satellite vegetation index and site environmental variables","interactions":[],"lastModifiedDate":"2017-01-18T10:08:49","indexId":"70142503","displayToPublicDate":"2015-01-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1456,"text":"Ecological Indicators","active":true,"publicationSubtype":{"id":10}},"title":"Estimating switchgrass productivity in the Great Plains using satellite vegetation index and site environmental variables","docAbstract":"Switchgrass is being evaluated as a potential feedstock source for cellulosic biofuels and is being cultivated in several regions of the United States. The recent availability of switchgrass land cover maps derived from the National Agricultural Statistics Service cropland data layer for the conterminous United States provides an opportunity to assess the environmental conditions of switchgrass over large areas and across different geographic locations. The main goal of this study is to develop a data-driven multiple regression switchgrass productivity model and identify the optimal climate and environment conditions for the highly productive switchgrass in the Great Plains (GP). Environmental and climate variables used in the study include elevation, soil organic carbon, available water capacity, climate, and seasonal weather. Satellite-derived growing season averaged Normalized Difference Vegetation Index (GSN) was used as a proxy for switchgrass productivity. Multiple regression analyses indicate that there are strong correlations between site environmental variables and switchgrass productivity (r = 0.95). Sufficient precipitation and suitable temperature during the growing season (i.e., not too hot or too cold) are favorable for switchgrass growth. Elevation and soil characteristics (e.g., soil available water capacity) are also an important factor impacting switchgrass productivity. An anticipated switchgrass biomass productivity map for the entire GP based on site environmental and climate conditions and switchgrass productivity model was generated. Highly productive switchgrass areas are mainly located in the eastern part of the GP. Results from this study can help land managers and biofuel plant investors better understand the general environmental and climate conditions influencing switchgrass growth and make optimal land use decisions regarding switchgrass development in the GP.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.ecolind.2014.09.013","usgsCitation":"Gu, Y., Wylie, B.K., and Howard, D., 2015, Estimating switchgrass productivity in the Great Plains using satellite vegetation index and site environmental variables: Ecological Indicators, v. 48, p. 472-476, https://doi.org/10.1016/j.ecolind.2014.09.013.","productDescription":"5 p.","startPage":"472","endPage":"476","numberOfPages":"5","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-046430","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":298318,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Great Plains","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -115.3564453125,\n 25.918526162075153\n ],\n [\n -115.3564453125,\n 49.009050809382046\n ],\n [\n -89.9560546875,\n 49.009050809382046\n ],\n [\n -89.9560546875,\n 25.918526162075153\n ],\n [\n -115.3564453125,\n 25.918526162075153\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"48","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"54faddb9e4b02419550db6d2","contributors":{"authors":[{"text":"Gu, Yingxin 0000-0002-3544-1856 ygu@usgs.gov","orcid":"https://orcid.org/0000-0002-3544-1856","contributorId":409,"corporation":false,"usgs":true,"family":"Gu","given":"Yingxin","email":"ygu@usgs.gov","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":false,"id":541914,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wylie, Bruce K. 0000-0002-7374-1083 wylie@usgs.gov","orcid":"https://orcid.org/0000-0002-7374-1083","contributorId":750,"corporation":false,"usgs":true,"family":"Wylie","given":"Bruce","email":"wylie@usgs.gov","middleInitial":"K.","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true},{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":541913,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Howard, Daniel M. 0000-0002-7563-7538 dhoward@usgs.gov","orcid":"https://orcid.org/0000-0002-7563-7538","contributorId":4431,"corporation":false,"usgs":true,"family":"Howard","given":"Daniel M.","email":"dhoward@usgs.gov","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":false,"id":541912,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70159319,"text":"70159319 - 2015 - Strontium isotopes in otoliths of a non-migratory fish (slimy sculpin): Implications for provenance studies","interactions":[],"lastModifiedDate":"2015-10-22T10:16:24","indexId":"70159319","displayToPublicDate":"2015-01-01T00:00:00","publicationYear":"2015","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":"Strontium isotopes in otoliths of a non-migratory fish (slimy sculpin): Implications for provenance studies","docAbstract":"Heterogeneity in 87Sr/86Sr ratios of river-dissolved strontium (Sr) across geologically diverse environments provides a useful tool for investigating provenance, connectivity and movement patterns of various organisms and materials. Evaluation of site-specific 87Sr/86Sr temporal variability throughout study regions is a prerequisite for provenance research, but the dynamics driving temporal variability are generally system-dependent and not accurately predictable. We used the time-keeping properties of otoliths from non-migratory slimy sculpin (Cottus cognatus) to evaluate multi-scale 87Sr/86Sr temporal variability of river waters throughout the Nushagak River, a large (34,700 km2) remote watershed in Alaska, USA. Slimy sculpin otoliths incorporated site-specific temporal variation at sub-annual resolution and were able to record on the order of 0.0001 changes in the 87Sr/86Sr ratio. 87Sr/86Sr profiles of slimy sculpin collected in tributaries and main-stem channels of the upper watershed indicated that these regions were temporally stable, whereas the Lower Nushagak River exhibited some spatio-teporal variability. This study illustrates how the behavioral ecology of a non-migratory organism can be used to evaluate sub-annual 87Sr/86Sr temporal variability and has broad implications for provenance studies employing this tracer.
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Society","active":true,"publicationSubtype":{"id":10}},"title":"Shortnose sturgeon in the Gulf of Maine: Use of spawning habitat in the Kennebec System and response to dam removal","docAbstract":"Evidence has become available in this century indicating that populations of the endangered Shortnose Sturgeon Acipenser brevirostrum migrate outside their natal river systems, but the full extent and functional basis of these migrations are not well understood. Between 2007 and 2013, 40 Shortnose Sturgeon captured and tagged in four Gulf of Maine river systems migrated long distances in coastal waters to reach the Kennebec System where their movements were logged by an acoustic receiver array. Twenty-one (20%) of 104 Shortnose Sturgeon tagged in the Penobscot River, two (50%) of four tagged in the Kennebec System, one (50%) of two tagged in the Saco River, and 16 (37%) of 43 tagged in the Merrimack River moved to a previously identified spawning site or historical spawning habitat in the Kennebec System in spring. Most (65%) moved in early spring from the tagging location directly to a spawning site in the Kennebec System, whereas the rest moved primarily in the fall from the tagging location to a wintering site in that system and moved to a spawning site the following spring. Spawning was inferred from the location, behavior, and sexual status of the fish and from season, water temperature, and discharge, and was confirmed by the capture of larvae in some years. Tagged fish went to a known spawning area in the upper Kennebec Estuary (16 events) or the Androscoggin Estuary (14 events), an historical spawning habitat in the restored Kennebec River (8 events), or two spawning areas in a single year (7 events). We have provided the first evidence indicating that Shortnose Sturgeon spawn in the restored Kennebec River in an historical habitat that became accessible in 1999 when Edwards Dam was removed, 162 years after it was constructed. These results highlight the importance of the Kennebec System to Shortnose Sturgeon throughout the Gulf of Maine.
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The objective of this study was to determine if side-scan sonar could be used to identify freshwater mussel (unionid) beds and the required environmental conditions. We used side-scan sonar to develop a series of mussel-bed reference images by placing mussel shells within homogenous areas of fine and coarse substrates. We then used side-scan sonar to map a 32-km river reach during spring and summer. Using our mussel-bed reference images, several river locations were identified where mussel beds appeared to exist in the scanned images and we chose a subset of sites (n = 17) for field validation. The validation confirmed that ~60% of the sites had mussel beds and ~80% had some mussels or shells present. Water depth was significantly related to our ability to predict mussel-bed locations: predictive ability was greatest at depths of 1–2 m, but decreased in water >2-m deep. We determined side-scan sonar is an effective tool for preliminary assessments of mussel presence during times when they are located at or above the substrate surface and in relatively fine substrates excluding fine silt.
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matter in groundwater","interactions":[],"lastModifiedDate":"2018-09-04T16:29:30","indexId":"70193059","displayToPublicDate":"2015-01-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1007,"text":"Biogeochemistry","active":true,"publicationSubtype":{"id":10}},"title":"Origins and bioavailability of dissolved organic matter in groundwater","docAbstract":"Dissolved organic matter (DOM) in groundwater influences water quality and fuels microbial metabolism, but its origins, bioavailability and chemical composition are poorly understood. The origins and concentrations of dissolved organic carbon (DOC) and bioavailable DOM were monitored during a long-term (2-year) study of groundwater in a fractured-rock aquifer in the Carolina slate belt. Surface precipitation was significantly correlated with groundwater concentrations of DOC, bioavailable DOM and chromophoric DOM, indicating strong hydrological connections between surface and ground waters. The physicochemical and biological processes shaping the concentrations and compositions of DOM during its passage through the soil column to the saturated zone are conceptualized in the regional chromatography model. The model provides a framework for linking hydrology with the processes affecting the transformation, remineralization and microbial production of DOM during passage through the soil column. Lignin-derived phenols were relatively depleted in groundwater DOM indicating substantial removal in the unsaturated zone, and optical properties of chromophoric DOM indicated lower molecular weight DOM in groundwater relative to surface water. The prevalence of glycine, γ-aminobutyric acid, and d-enantiomers of amino acids indicated the DOM was highly diagenetically altered. Bioassay experiments were used to establish DOC-normalized yields of amino acids as molecular indicators of DOM bioavailability in groundwater. A relatively small fraction (8 ± 4 %) of DOC in groundwater was bioavailable. The relatively high yields of specific d-enantiomers of amino acids indicated a substantial fraction (15–34 %) of groundwater DOC was of bacterial origin.
","language":"English","publisher":"Springer","doi":"10.1007/s10533-014-0029-4","usgsCitation":"Shen, Y., Chapelle, F.H., Strom, E.W., and Benner, R., 2015, Origins and bioavailability of dissolved organic matter in groundwater: Biogeochemistry, v. 122, no. 1, p. 61-78, https://doi.org/10.1007/s10533-014-0029-4.","productDescription":"18 p.","startPage":"61","endPage":"78","ipdsId":"IP-055922","costCenters":[{"id":559,"text":"South Carolina Water Science Center","active":true,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":472431,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s10533-014-0029-4","text":"Publisher Index Page"},{"id":349214,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"122","issue":"1","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationDate":"2014-09-05","publicationStatus":"PW","scienceBaseUri":"5a60fec8e4b06e28e9c25361","contributors":{"authors":[{"text":"Shen, Yuan","contributorId":176364,"corporation":false,"usgs":false,"family":"Shen","given":"Yuan","email":"","affiliations":[],"preferred":false,"id":717781,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Chapelle, Francis H. chapelle@usgs.gov","contributorId":1350,"corporation":false,"usgs":true,"family":"Chapelle","given":"Francis","email":"chapelle@usgs.gov","middleInitial":"H.","affiliations":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true},{"id":559,"text":"South Carolina Water Science Center","active":true,"usgs":true}],"preferred":true,"id":717780,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Strom, Eric W. ewstrom@usgs.gov","contributorId":337,"corporation":false,"usgs":true,"family":"Strom","given":"Eric","email":"ewstrom@usgs.gov","middleInitial":"W.","affiliations":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true},{"id":559,"text":"South Carolina Water Science Center","active":true,"usgs":true}],"preferred":true,"id":717782,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Benner, Ronald","contributorId":57380,"corporation":false,"usgs":true,"family":"Benner","given":"Ronald","affiliations":[],"preferred":false,"id":717783,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70144530,"text":"70144530 - 2015 - Long-term growth-increment chronologies reveal diverse influences of climate forcing on freshwater and forest biota in the Pacific Northwest","interactions":[],"lastModifiedDate":"2017-11-22T18:01:48","indexId":"70144530","displayToPublicDate":"2015-01-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1837,"text":"Global Change Biology","active":true,"publicationSubtype":{"id":10}},"title":"Long-term growth-increment chronologies reveal diverse influences of climate forcing on freshwater and forest biota in the Pacific Northwest","docAbstract":"Analyses of how organisms are likely to respond to a changing climate have focused largely on the direct effects of warming temperatures, though changes in other variables may also be important, particularly the amount and timing of precipitation. Here, we develop a network of eight growth-increment width chronologies for freshwater mussel species in the Pacific Northwest, United States and integrate them with tree-ring data to evaluate how terrestrial and aquatic indicators respond to hydroclimatic variability, including river discharge and precipitation. Annual discharge averaged across water years (October 1–September 30) was highly synchronous among river systems and imparted a coherent pattern among mussel chronologies. The leading principal component of the five longest mussel chronologies (1982–2003; PC1mussel) accounted for 47% of the dataset variability and negatively correlated with the leading principal component of river discharge (PC1discharge; r = −0.88; P < 0.0001). PC1mussel and PC1discharge were closely linked to regional wintertime precipitation patterns across the Pacific Northwest, the season in which the vast majority of annual precipitation arrives. Mussel growth was also indirectly related to tree radial growth, though the nature of the relationships varied across the landscape. Negative correlations occurred in forests where tree growth tends to be limited by drought while positive correlations occurred in forests where tree growth tends to be limited by deep or lingering snowpack. Overall, this diverse assemblage of chronologies illustrates the importance of winter precipitation to terrestrial and freshwater ecosystems and suggests that a complexity of climate responses must be considered when estimating the biological impacts of climate variability and change.
","language":"English","publisher":"Wiley","doi":"10.1111/gcb.12756","usgsCitation":"Black, B.A., Dunham, J., Blundon, B.W., Brim-Box, J., and Tepley, A.J., 2015, Long-term growth-increment chronologies reveal diverse influences of climate forcing on freshwater and forest biota in the Pacific Northwest: Global Change Biology, v. 21, no. 2, p. 594-604, https://doi.org/10.1111/gcb.12756.","productDescription":"11 p.","startPage":"594","endPage":"604","numberOfPages":"11","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-056994","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":299199,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Idaho, Oregon, Washington","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -125.068359375,\n 42.01665183556825\n ],\n [\n -125.068359375,\n 48.93693495409401\n ],\n [\n -111.005859375,\n 48.93693495409401\n ],\n [\n -111.005859375,\n 42.01665183556825\n ],\n [\n -125.068359375,\n 42.01665183556825\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"21","issue":"2","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2014-11-17","publicationStatus":"PW","scienceBaseUri":"551bc52ce4b0323842783a4e","chorus":{"doi":"10.1111/gcb.12756","url":"http://dx.doi.org/10.1111/gcb.12756","publisher":"Wiley-Blackwell","authors":"Black Bryan A., Dunham Jason B., Blundon Brett W., Brim-Box Jayne, Tepley Alan J.","journalName":"Global Change Biology","publicationDate":"11/17/2014","auditedOn":"10/29/2014"},"contributors":{"authors":[{"text":"Black, Bryan A.","contributorId":68448,"corporation":false,"usgs":false,"family":"Black","given":"Bryan","email":"","middleInitial":"A.","affiliations":[{"id":12430,"text":"University of Texas at Austin","active":true,"usgs":false}],"preferred":false,"id":543683,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dunham, Jason B. 0000-0002-6268-0633 jdunham@usgs.gov","orcid":"https://orcid.org/0000-0002-6268-0633","contributorId":1808,"corporation":false,"usgs":true,"family":"Dunham","given":"Jason B.","email":"jdunham@usgs.gov","affiliations":[{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true}],"preferred":false,"id":543682,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Blundon, Brett W.","contributorId":26805,"corporation":false,"usgs":false,"family":"Blundon","given":"Brett","email":"","middleInitial":"W.","affiliations":[{"id":7217,"text":"Bureau of Land Management","active":true,"usgs":false}],"preferred":false,"id":543684,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Brim-Box, Jayne","contributorId":139992,"corporation":false,"usgs":false,"family":"Brim-Box","given":"Jayne","email":"","affiliations":[{"id":13345,"text":"Confederated Tribes of the Umatilla Indian Reservation","active":true,"usgs":false}],"preferred":false,"id":543685,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Tepley, Alan J.","contributorId":139993,"corporation":false,"usgs":false,"family":"Tepley","given":"Alan","email":"","middleInitial":"J.","affiliations":[{"id":13346,"text":"University of Colorado at Boulder, Department of Geography","active":true,"usgs":false}],"preferred":false,"id":543686,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70194129,"text":"70194129 - 2015 - PESTools – A Python toolkit for processing PEST-related information","interactions":[],"lastModifiedDate":"2017-12-11T14:59:41","indexId":"70194129","displayToPublicDate":"2015-01-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"PESTools – A Python toolkit for processing PEST-related information","docAbstract":"PESTools is an open-source Python package for processing and visualizing information associated with\nthe parameter estimation software PEST and PEST++. While PEST output can be reformatted for post-\nprocessing in spreadsheets or other menu-driven software packages, that approach can be error-prone\nand time-consuming. Managing information from highly parameterized models with thousands of\nparameters and observations presents additional challenges. PESTools consists of a set of Python object\nclasses to facilitate efficient processing and visualization of PEST-related information. Processing and\nvisualization of observation residuals, objective function contributions, parameter and observation\nsensitivities, parameter correlation and identifiability, and other common PEST outputs have been\nimplemented. PESTools is integrated with the pyemu software package for linear-based computer model\nuncertainty analyses, allowing for efficient computations using the Jacobian Matrix without any external\nutilities or files. The use of dataframe objects (pandas Python package) facilitates rapid subsetting and\nquerying of large datasets, as well as the incorporation of ancillary information such as observation\nlocations, times, measurement types, and other associated information. PESTools’ object methods can\nbe easily scripted with concise code, or alternatively, the use of IPython notebooks allows for live\ninteraction with the information. 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This study characterized groundwater quality in a sandy, water-table aquifer influenced by suburban development and compared the results to known patterns in water chemistry associated with natural, background conditions and agricultural effects. Samples for nutrients, major ions, and isotopes of N and O in NO3− were collected in 2011 beneath turfgrass from 29 shallow wells (median depth 3.7 m) and from 18 deeper wells (median depth 16.9 m) in a long-term suburban development. Nitrate (as N) concentrations in groundwater beneath turfgrass were highly variable (0.02–22.3 mg L−1) with a median of 2.7 mg L−1, which is higher than natural water chemistry (>0.4 mg L−1; Na+–Cl−–HCO3− water type), but significantly lower than concentrations beneath a nearby agricultural area (median 16.9 mg L−1; p < .0001). Dissolved Fe concentrations in shallow suburban groundwater, attributed to chelated Fe in turfgrass fertilizers, were significantly higher (p < .005) than concentrations from the agricultural site, although a Ca2+–Mg2+–Cl−–NO3− water type was dominant in both areas. A Na+–Cl−–NO3− water type indicated a septic-system source for nitrate in deep suburban groundwater (0.06–6.0 mg L−1; median 1.5 mg L−1). Isotopic data indicated denitrification; however, geochemical techniques were more helpful in identifying nitrate sources. Results indicate that suburban expansion into agricultural areas may significantly decrease overall nitrate concentrations in groundwater, but excessive turfgrass fertilization could result in localized contamination.
","language":"English","publisher":"American Society of Agronomy, Crop Science Society of America, Soil Science Society of America","doi":"10.2134/jeq2014.06.0280","usgsCitation":"Kasper, J.W., Denver, J.M., and York, J.K., 2015, Suburban groundwater quality as influenced by turfgrass and septic sources, Delmarva Peninsula, USA: Journal of Environmental Quality, v. 44, no. 2, p. 642-654, https://doi.org/10.2134/jeq2014.06.0280.","productDescription":"13 p.","startPage":"642","endPage":"654","numberOfPages":"13","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-040557","costCenters":[{"id":374,"text":"Maryland Water Science Center","active":true,"usgs":true}],"links":[{"id":472388,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.2134/jeq2014.06.0280","text":"Publisher Index Page"},{"id":299212,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Delaware","otherGeospatial":"Delmarva Peninsula","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -75.17995834350585,\n 38.634438731500104\n ],\n [\n -75.17995834350585,\n 38.64838299329524\n ],\n [\n -75.14820098876953,\n 38.64838299329524\n ],\n [\n -75.14820098876953,\n 38.634438731500104\n ],\n [\n -75.17995834350585,\n 38.634438731500104\n ]\n ]\n ]\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -75.2479362487793,\n 38.64369051578083\n ],\n [\n -75.2479362487793,\n 38.66044795293739\n ],\n [\n -75.19094467163086,\n 38.66044795293739\n ],\n [\n -75.19094467163086,\n 38.64369051578083\n ],\n [\n -75.2479362487793,\n 38.64369051578083\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"44","issue":"2","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationDate":"2015-03-01","publicationStatus":"PW","scienceBaseUri":"551bc52ee4b0323842783a55","contributors":{"authors":[{"text":"Kasper, Joshua W.","contributorId":83802,"corporation":false,"usgs":false,"family":"Kasper","given":"Joshua","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":543775,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Denver, Judith M. jmdenver@usgs.gov","contributorId":140022,"corporation":false,"usgs":true,"family":"Denver","given":"Judith","email":"jmdenver@usgs.gov","middleInitial":"M.","affiliations":[{"id":374,"text":"Maryland Water Science Center","active":true,"usgs":true}],"preferred":false,"id":543773,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"York, Joanna K.","contributorId":140023,"corporation":false,"usgs":false,"family":"York","given":"Joanna","email":"","middleInitial":"K.","affiliations":[{"id":13359,"text":"University of Delaware","active":true,"usgs":false}],"preferred":false,"id":543774,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70191888,"text":"70191888 - 2015 - Ground-based thermal imaging of stream surface temperatures: Technique and evaluation","interactions":[],"lastModifiedDate":"2018-01-26T11:09:56","indexId":"70191888","displayToPublicDate":"2015-01-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2886,"text":"North American Journal of Fisheries Management","active":true,"publicationSubtype":{"id":10}},"title":"Ground-based thermal imaging of stream surface temperatures: Technique and evaluation","docAbstract":"We evaluated a ground-based handheld thermal imaging system for measuring water temperatures using data from eight southwestern USA streams and rivers. We found handheld thermal imagers could provide considerably more spatial information on water temperature (for our unit one image = 19,600 individual temperature measurements) than traditional methods could supply without a prohibitive amount of effort. Furthermore, they could provide measurements of stream surface temperature almost instantaneously compared with most traditional handheld thermometers (e.g., >20 s/reading). Spatial temperature analysis is important for measurement of subtle temperature differences across waterways, and identification of warm and cold groundwater inputs. Handheld thermal imaging is less expensive and equipment intensive than airborne thermal imaging methods and is useful under riparian canopies. Disadvantages of handheld thermal imagers include their current higher expense than thermometers, their susceptibility to interference when used incorrectly, and their slightly lower accuracy than traditional temperature measurement methods. Thermal imagers can only measure surface temperature, but this usually corresponds to subsurface temperatures in well-mixed streams and rivers. Using thermal imaging in select applications, such as where spatial investigations of water temperature are needed, or in conjunction with stationary temperature data loggers or handheld electronic or liquid-in-glass thermometers to characterize stream temperatures by both time and space, could provide valuable information on stream temperature dynamics. These tools will become increasingly important to fisheries biologists as costs continue to decline.
","language":"English","publisher":"Wiley","doi":"10.1080/02755947.2015.1091410","usgsCitation":"Bonar, S.A., and Petre, S.J., 2015, Ground-based thermal imaging of stream surface temperatures: Technique and evaluation: North American Journal of Fisheries Management, v. 35, no. 6, p. 1209-1218, https://doi.org/10.1080/02755947.2015.1091410.","productDescription":"10 p.","startPage":"1209","endPage":"1218","ipdsId":"IP-057935","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":350648,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"35","issue":"6","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2015-12-02","publicationStatus":"PW","scienceBaseUri":"5a6c4c98e4b06e28e9cabb16","contributors":{"authors":[{"text":"Bonar, Scott A. 0000-0003-3532-4067 sbonar@usgs.gov","orcid":"https://orcid.org/0000-0003-3532-4067","contributorId":3712,"corporation":false,"usgs":true,"family":"Bonar","given":"Scott","email":"sbonar@usgs.gov","middleInitial":"A.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":713546,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Petre, Sally J.","contributorId":197664,"corporation":false,"usgs":false,"family":"Petre","given":"Sally","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":725876,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70155117,"text":"70155117 - 2015 - An integrated approach to conjunctive-use analysis with the one-water hydrologic flow model, MODFLOW-OWHM","interactions":[],"lastModifiedDate":"2017-05-17T12:11:59","indexId":"70155117","displayToPublicDate":"2015-01-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"An integrated approach to conjunctive-use analysis with the one-water hydrologic flow model, MODFLOW-OWHM","docAbstract":"The MODFLOW-2005 (MF) family of hydrologic simulators has diverged into multiple versions designed for specific needs, thus limiting their use to their respective designs. The One-Water Hydrologic Flow Model (MF-OWHM v1.0) is an integrated hydrologic flow model that is an enhanced fusion of multiple MF versions. While maintaining compatibility with existing MF versions, MF-OWHM includes: linkages for coupled heads, flows, and deformation; facilitation of self-updating models, additional observation and parameter options for higher-order calibrations; and redesigned code for faster simulations. This first release of MF-OWHM incorporates MODFLOW-2005 and the Farm Process (MF-FMP2), with new features (FMP3), combined with Local Grid Refinement (MF-LGR), Streamflow Routing (SFR), Surfacewater Routing Process (SWR), Seawater Intrusion (SWI), Riparian Evapotranspiration (RIP-ET), the Newton Formulation (MF-NWT), and more. MF-OWHM represents a complete integrated hydrologic model that fully links the movement and use of groundwater, surface water, and imported water for consumption by agriculture and natural vegetation on the landscape, and for potable and other uses. By retaining and keeping track of the water during simulation of the hydrosphere, MF-OWHM accounts for “all of the water everywhere and all of the time.” This provides the foundation needed to address integrated hydrologic problems such as evaluation of conjunctive-use alternatives and sustainability analysis, including potential adaptation and mitigation strategies, and best management practices.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Proceedings: MODFLOW and more 2015: Modeling a complex world","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"MODFLOW and More 2015: Modeling a Complex World","conferenceDate":"May 31 - June 3, 2015","conferenceLocation":"Golden, CO","language":"English","publisher":"Colorado School of Mines","usgsCitation":"Boyce, S.E., and Hanson, R.T., 2015, An integrated approach to conjunctive-use analysis with the one-water hydrologic flow model, MODFLOW-OWHM, in Proceedings: MODFLOW and more 2015: Modeling a complex world, Golden, CO, May 31 - June 3, 2015, p. 6-10.","productDescription":"5 p.","startPage":"6","endPage":"10","ipdsId":"IP-064540","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":341437,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":341445,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://igwmc.mines.edu/conference/modflow2015.html"}],"publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"593e26ede4b0764e6c61b765","contributors":{"authors":[{"text":"Boyce, Scott E. 0000-0003-0626-9492 seboyce@usgs.gov","orcid":"https://orcid.org/0000-0003-0626-9492","contributorId":4766,"corporation":false,"usgs":true,"family":"Boyce","given":"Scott","email":"seboyce@usgs.gov","middleInitial":"E.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":564813,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hanson, Randall T. 0000-0002-9819-7141 rthanson@usgs.gov","orcid":"https://orcid.org/0000-0002-9819-7141","contributorId":801,"corporation":false,"usgs":true,"family":"Hanson","given":"Randall","email":"rthanson@usgs.gov","middleInitial":"T.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":564814,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70185008,"text":"70185008 - 2015 - Mobilization of microspheres from a fractured soil during intermittent infiltration events","interactions":[],"lastModifiedDate":"2018-09-04T16:04:40","indexId":"70185008","displayToPublicDate":"2015-01-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3674,"text":"Vadose Zone Journal","active":true,"publicationSubtype":{"id":10}},"title":"Mobilization of microspheres from a fractured soil during intermittent infiltration events","docAbstract":"Pathogens or biocolloids mobilized in the vadose zone may consequently contaminate groundwater. We found that microspheres were mobilized from a fractured soil during intermittent rainfall and the mobilization was greater when the microsphere size was larger and when the soil had greater water permeability.
The vadose zone filters pathogenic microbes from infiltrating water and consequently protects the groundwater from possible contamination. In some cases, however, the deposited microbes may be mobilized during rainfall and migrate into the groundwater. We examined the mobilization of microspheres, surrogates for microbes, in an intact core of a fractured soil by intermittent simulated rainfall. Fluorescent polystyrene microspheres of two sizes (0.5 and 1.8 mm) and Br− were first applied to the core to deposit the microspheres, and then the core was subjected to three intermittent infiltration events to mobilize the deposited microspheres. Collecting effluent samples through a 19-port sampler at the base of the core, we found that water flowed through only five ports, and the flow rates varied among the ports by a factor of 12. These results suggest that flow paths leading to the ports had different permeabilities, partly due to macropores. Although 40 to 69% of injected microspheres were retained in the core during their application, 12 to 30% of the retained microspheres were mobilized during three intermittent infiltration events. The extent of microsphere mobilization was greater in flow paths with greater permeability, which indicates that macropores could enhance colloid mobilization during intermittent infiltration events. In all ports, the 1.8-mm microspheres were mobilized to a greater extent than the 0.5-mm microspheres, suggesting that larger colloids are more likely to mobilize. These results are useful in assessing the potential of pathogen mobilization and colloid-facilitated transport of contaminants in the subsurface under natural infiltration events.
","language":"English","publisher":"ACSESS","doi":"10.2136/vzj2014.05.0058","usgsCitation":"Mohanty, S., Bulicek, M., Metge, D.W., Harvey, R.W., Ryan, J.N., and Boehm, A., 2015, Mobilization of microspheres from a fractured soil during intermittent infiltration events: Vadose Zone Journal, v. 14, no. 1, https://doi.org/10.2136/vzj2014.05.0058.","ipdsId":"IP-060563","costCenters":[{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"links":[{"id":472403,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://www.osti.gov/biblio/1582084","text":"Publisher Index Page"},{"id":337644,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"14","issue":"1","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2015-01-05","publicationStatus":"PW","scienceBaseUri":"58ca52cfe4b0849ce97c86b6","contributors":{"authors":[{"text":"Mohanty, Sanjay","contributorId":189137,"corporation":false,"usgs":false,"family":"Mohanty","given":"Sanjay","email":"","affiliations":[],"preferred":false,"id":683942,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bulicek, Mark","contributorId":189138,"corporation":false,"usgs":false,"family":"Bulicek","given":"Mark","email":"","affiliations":[],"preferred":false,"id":683943,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Metge, David W. dwmetge@usgs.gov","contributorId":663,"corporation":false,"usgs":true,"family":"Metge","given":"David","email":"dwmetge@usgs.gov","middleInitial":"W.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":683941,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Harvey, Ronald W. 0000-0002-2791-8503 rwharvey@usgs.gov","orcid":"https://orcid.org/0000-0002-2791-8503","contributorId":564,"corporation":false,"usgs":true,"family":"Harvey","given":"Ronald","email":"rwharvey@usgs.gov","middleInitial":"W.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":683944,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Ryan, Joseph N.","contributorId":54290,"corporation":false,"usgs":false,"family":"Ryan","given":"Joseph","email":"","middleInitial":"N.","affiliations":[{"id":604,"text":"University of Colorado- Boulder","active":false,"usgs":true}],"preferred":false,"id":683945,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Boehm, Alexandria B.","contributorId":51616,"corporation":false,"usgs":true,"family":"Boehm","given":"Alexandria B.","affiliations":[],"preferred":false,"id":683946,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70187156,"text":"70187156 - 2015 - A field comparison of multiple techniques to quantify groundwater - surface-water interactions","interactions":[],"lastModifiedDate":"2017-04-25T15:26:38","indexId":"70187156","displayToPublicDate":"2015-01-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1699,"text":"Freshwater Science","active":true,"publicationSubtype":{"id":10}},"title":"A field comparison of multiple techniques to quantify groundwater - surface-water interactions","docAbstract":"Groundwater–surface-water (GW-SW) interactions in streams are difficult to quantify because of heterogeneity in hydraulic and reactive processes across a range of spatial and temporal scales. The challenge of quantifying these interactions has led to the development of several techniques, from centimeter-scale probes to whole-system tracers, including chemical, thermal, and electrical methods. We co-applied conservative and smart reactive solute-tracer tests, measurement of hydraulic heads, distributed temperature sensing, vertical profiles of solute tracer and temperature in the stream bed, and electrical resistivity imaging in a 450-m reach of a 3rd-order stream. GW-SW interactions were not spatially expansive, but were high in flux through a shallow hyporheic zone surrounding the reach. NaCl and resazurin tracers suggested different surface–subsurface exchange patterns in the upper ⅔ and lower ⅓ of the reach. Subsurface sampling of tracers and vertical thermal profiles quantified relatively high fluxes through a 10- to 20-cm deep hyporheic zone with chemical reactivity of the resazurin tracer indicated at 3-, 6-, and 9-cm sampling depths. Monitoring of hydraulic gradients along transects with MINIPOINT streambed samplers starting ∼40 m from the stream indicated that groundwater discharge prevented development of a larger hyporheic zone, which progressively decreased from the stream thalweg toward the banks. Distributed temperature sensing did not detect extensive inflow of ground water to the stream, and electrical resistivity imaging showed limited large-scale hyporheic exchange. We recommend choosing technique(s) based on: 1) clear definition of the questions to be addressed (physical, biological, or chemical processes), 2) explicit identification of the spatial and temporal scales to be covered and those required to provide an appropriate context for interpretation, and 3) maximizing generation of mechanistic understanding and reducing costs of implementing multiple techniques through collaborative research.
","language":"English","publisher":"University of Chicago Press","doi":"10.1086/679738","usgsCitation":"Gonzalez-Pinzon, R., Ward, A.S., Hatch, C.E., Wlostowski, A.N., Singha, K., Gooseff, M.N., Haggerty, R., Harvey, J., Cirpka, O., and Brock, J.T., 2015, A field comparison of multiple techniques to quantify groundwater - surface-water interactions: Freshwater Science, v. 34, no. 1, p. 139-160, https://doi.org/10.1086/679738.","productDescription":"22 p.","startPage":"139","endPage":"160","ipdsId":"IP-056028","costCenters":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"links":[{"id":340387,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Pennsylvania","otherGeospatial":"Shaver Creek","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -77.9136872291565,\n 40.66452627825884\n ],\n [\n -77.90873050689697,\n 40.66452627825884\n ],\n [\n -77.90873050689697,\n 40.66735832184183\n ],\n [\n -77.9136872291565,\n 40.66735832184183\n ],\n [\n -77.9136872291565,\n 40.66452627825884\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"34","issue":"1","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59006064e4b0e85db3a5dde5","contributors":{"authors":[{"text":"Gonzalez-Pinzon, Ricardo","contributorId":191362,"corporation":false,"usgs":false,"family":"Gonzalez-Pinzon","given":"Ricardo","email":"","affiliations":[],"preferred":false,"id":692833,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ward, Adam S","contributorId":191363,"corporation":false,"usgs":false,"family":"Ward","given":"Adam","email":"","middleInitial":"S","affiliations":[],"preferred":false,"id":692834,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hatch, Christine E","contributorId":191364,"corporation":false,"usgs":false,"family":"Hatch","given":"Christine","email":"","middleInitial":"E","affiliations":[],"preferred":false,"id":692835,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wlostowski, Adam N. 0000-0001-5703-9916","orcid":"https://orcid.org/0000-0001-5703-9916","contributorId":191365,"corporation":false,"usgs":false,"family":"Wlostowski","given":"Adam","email":"","middleInitial":"N.","affiliations":[],"preferred":false,"id":692836,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Singha, Kamini 0000-0002-0605-3774","orcid":"https://orcid.org/0000-0002-0605-3774","contributorId":191366,"corporation":false,"usgs":false,"family":"Singha","given":"Kamini","email":"","affiliations":[{"id":6606,"text":"Colorado School of Mines","active":true,"usgs":false}],"preferred":false,"id":692837,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Gooseff, Michael N.","contributorId":191367,"corporation":false,"usgs":false,"family":"Gooseff","given":"Michael","email":"","middleInitial":"N.","affiliations":[],"preferred":false,"id":692838,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Haggerty, Roy","contributorId":191368,"corporation":false,"usgs":false,"family":"Haggerty","given":"Roy","email":"","affiliations":[],"preferred":false,"id":692839,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Harvey, Judson 0000-0002-2654-9873 jwharvey@usgs.gov","orcid":"https://orcid.org/0000-0002-2654-9873","contributorId":140228,"corporation":false,"usgs":true,"family":"Harvey","given":"Judson","email":"jwharvey@usgs.gov","affiliations":[{"id":436,"text":"National Research Program - 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However, investigations linking these catchment subsidies to fish assemblages have generally focussed on one or a handful of species. Considering this paucity of community-level awareness, we sought to explore the association between land use and fish assemblage composition in reservoirs. To this end, we compared fish assemblages in reservoirs of two sub-basins of the Tennessee River representing differing intensities of agricultural development, and hypothesised that fish assemblage structure indicated by species percentage composition would differ among reservoirs in the two sub-basins. Using multivariate statistical analysis, we documented inter-basin differences in land use, reservoir productivity and fish assemblages, but no differences in reservoir morphometry or water regime. Basins were separated along a gradient of forested and non-forested catchment land cover, which was directly related to total nitrogen, total phosphorous and chlorophyll-a concentrations. Considering the extensive body of knowledge linking land use to aquatic systems, it is reasonable to postulate a hierarchical model in which productivity has direct links to terrestrial inputs, and fish assemblages have direct links to both land use and productivity. We observed a shift from an invertivore-based fish assemblage in forested catchments to a detritivore-based fish assemblage in agricultural catchments that may be a widespread pattern among reservoirs and other aquatic ecosystems.
","language":"English","publisher":"CSIRO Publishing","doi":"10.1071/MF14188","usgsCitation":"Miranda, L.E., Bies, J.M., and Hann, D.A., 2015, Land use structures fish assemblages in reservoirs of the Tennessee River: Marine and Freshwater Research, v. 66, no. 6, p. 526-534, https://doi.org/10.1071/MF14188.","productDescription":"9 p.","startPage":"526","endPage":"534","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-057376","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":303097,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Tennessee River","volume":"66","issue":"6","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"558e77b8e4b0b6d21dd65961","contributors":{"authors":[{"text":"Miranda, Leandro E. 0000-0002-2138-7924 smiranda@usgs.gov","orcid":"https://orcid.org/0000-0002-2138-7924","contributorId":531,"corporation":false,"usgs":true,"family":"Miranda","given":"Leandro","email":"smiranda@usgs.gov","middleInitial":"E.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":556877,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bies, J. M.","contributorId":144086,"corporation":false,"usgs":false,"family":"Bies","given":"J.","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":558568,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hann, D. A.","contributorId":144087,"corporation":false,"usgs":false,"family":"Hann","given":"D.","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":558569,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70155925,"text":"70155925 - 2015 - 2013 Monitoring and tracking wet nitrogen deposition at Rocky Mountain National Park","interactions":[],"lastModifiedDate":"2018-02-21T17:54:57","indexId":"70155925","displayToPublicDate":"2015-01-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":1,"text":"Federal Government Series"},"seriesTitle":{"id":53,"text":"Natural Resource Report","active":false,"publicationSubtype":{"id":1}},"seriesNumber":"NPS/NRSS/ARD/NRR—2015/997","title":"2013 Monitoring and tracking wet nitrogen deposition at Rocky Mountain National Park","docAbstract":"In 2004, multiple agencies including the Colorado Department of Public Health and Environment (CDPHE), the National Park Service (NPS), and the U.S. Environmental Protection Agency (U.S. EPA) met to address the effects and trends of nitrogen deposition and related air quality issues at Rocky Mountain National Park (RMNP). These agencies signed a Memorandum of Understanding (MOU) to facilitate interagency coordination, calling the effort the “Rocky Mountain National Park Initiative.” After much collaboration, the MOU agencies (CDPHE, NPS, and U.S. EPA) issued the Nitrogen Deposition Reduction Plan (NDRP) in 2007, which was endorsed by the three agencies and the Colorado Air Quality Control Commission (AQCC). The NDRP and other related documents are available on the CDPHE website: http://www.colorado.gov/cdphe/rmnpinitiative.\r\n\r\nThe purpose of this report is to inform the MOU agencies, stakeholders, and the public about the status and trends of wet nitrogen deposition at RMNP\r\nthrough 2013. In addition to other types of evidence, the MOU agencies use the information provided in this annual report to determine interim milestone achievements.","language":"English","publisher":"National Park Service","usgsCitation":"Morris, K., Mast, M.A., Clow, D.W., Wetherbee, G.A., Baron, J., Taipale, C., Blett, T., Gay, D., and Bowker, D., 2015, 2013 Monitoring and tracking wet nitrogen deposition at Rocky Mountain National Park: Natural Resource Report NPS/NRSS/ARD/NRR—2015/997, v, 32 p.","productDescription":"v, 32 p.","numberOfPages":"41","ipdsId":"IP-065590","costCenters":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"links":[{"id":339817,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":306277,"type":{"id":15,"text":"Index Page"},"url":"https://irma.nps.gov/DataStore/Reference/Profile/2223313"}],"publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58f5d443e4b0f2e20545e425","contributors":{"authors":[{"text":"Morris, Kristi","contributorId":45197,"corporation":false,"usgs":true,"family":"Morris","given":"Kristi","affiliations":[],"preferred":false,"id":566903,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mast, M. Alisa 0000-0001-6253-8162 mamast@usgs.gov","orcid":"https://orcid.org/0000-0001-6253-8162","contributorId":827,"corporation":false,"usgs":true,"family":"Mast","given":"M.","email":"mamast@usgs.gov","middleInitial":"Alisa","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":566902,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Clow, David W. 0000-0001-6183-4824 dwclow@usgs.gov","orcid":"https://orcid.org/0000-0001-6183-4824","contributorId":1671,"corporation":false,"usgs":true,"family":"Clow","given":"David","email":"dwclow@usgs.gov","middleInitial":"W.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":566904,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wetherbee, Gregory A. 0000-0002-6720-2294 wetherbe@usgs.gov","orcid":"https://orcid.org/0000-0002-6720-2294","contributorId":1044,"corporation":false,"usgs":true,"family":"Wetherbee","given":"Gregory","email":"wetherbe@usgs.gov","middleInitial":"A.","affiliations":[{"id":143,"text":"Branch of Quality Systems","active":true,"usgs":true}],"preferred":true,"id":566905,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Baron, Jill 0000-0002-5902-6251 jill_baron@usgs.gov","orcid":"https://orcid.org/0000-0002-5902-6251","contributorId":194124,"corporation":false,"usgs":true,"family":"Baron","given":"Jill","email":"jill_baron@usgs.gov","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":566906,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Taipale, Curt","contributorId":86237,"corporation":false,"usgs":true,"family":"Taipale","given":"Curt","email":"","affiliations":[],"preferred":false,"id":566907,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Blett, Tamara","contributorId":61070,"corporation":false,"usgs":true,"family":"Blett","given":"Tamara","affiliations":[],"preferred":false,"id":566908,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Gay, David A.","contributorId":68022,"corporation":false,"usgs":true,"family":"Gay","given":"David A.","affiliations":[],"preferred":false,"id":566909,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Bowker, Daniel","contributorId":146263,"corporation":false,"usgs":false,"family":"Bowker","given":"Daniel","email":"","affiliations":[{"id":16654,"text":"Colorado State University, Natural Resource Ecologyy Lab","active":true,"usgs":false}],"preferred":false,"id":566910,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70185777,"text":"70185777 - 2015 - On-line hydrogen-isotope measurements of organic samples using elemental chromium: An extension for high temperature elemental-analyzer techniques","interactions":[],"lastModifiedDate":"2017-03-29T09:45:24","indexId":"70185777","displayToPublicDate":"2015-01-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":761,"text":"Analytical Chemistry","active":true,"publicationSubtype":{"id":10}},"title":"On-line hydrogen-isotope measurements of organic samples using elemental chromium: An extension for high temperature elemental-analyzer techniques","docAbstract":"The high temperature conversion (HTC) technique using an elemental analyzer with a glassy carbon tube and filling (temperature conversion/elemental analysis, TC/EA) is a widely used method for hydrogen isotopic analysis of water and many solid and liquid organic samples with analysis by isotope-ratio mass spectrometry (IRMS). However, the TC/EA IRMS method may produce inaccurate δ2H results, with values deviating by more than 20 mUr (milliurey = 0.001 = 1‰) from the true value for some materials. We show that a single-oven, chromium-filled elemental analyzer coupled to an IRMS substantially improves the measurement quality and reliability for hydrogen isotopic compositions of organic substances (Cr-EA method). Hot chromium maximizes the yield of molecular hydrogen in a helium carrier gas by irreversibly and quantitatively scavenging all reactive elements except hydrogen. In contrast, under TC/EA conditions, heteroelements like nitrogen or chlorine (and other halogens) can form hydrogen cyanide (HCN) or hydrogen chloride (HCl) and this can cause isotopic fractionation. The Cr-EA technique thus expands the analytical possibilities for on-line hydrogen-isotope measurements of organic samples significantly. This method yielded reproducibility values (1-sigma) for δ2H measurements on water and caffeine samples of better than 1.0 and 0.5 mUr, respectively. To overcome handling problems with water as the principal calibration anchor for hydrogen isotopic measurements, we have employed an effective and simple strategy using reference waters or other liquids sealed in silver-tube segments. These crimped silver tubes can be employed in both the Cr-EA and TC/EA techniques. They simplify considerably the normalization of hydrogen-isotope measurement data to the VSMOW-SLAP (Vienna Standard Mean Ocean Water-Standard Light Antarctic Precipitation) scale, and their use improves accuracy of the data by eliminating evaporative loss and associated isotopic fractionation while handling water as a bulk sample. The calibration of organic samples, commonly having high δ2H values, will benefit from the availability of suitably 2H-enriched reference waters, extending the VSMOW-SLAP scale above zero.
","language":"English","publisher":"ACS Publications","doi":"10.1021/acs.analchem.5b00085","usgsCitation":"Gehre, M., Renpenning, J., Gilevska, T., Qi, H., Coplen, T.B., Meijer, H.A., Brand, W.A., and Schimmelmann, A., 2015, On-line hydrogen-isotope measurements of organic samples using elemental chromium: An extension for high temperature elemental-analyzer techniques: Analytical Chemistry, v. 87, no. 10, p. 5198-5205, https://doi.org/10.1021/acs.analchem.5b00085.","productDescription":"8 p.","startPage":"5198","endPage":"5205","ipdsId":"IP-063767","costCenters":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"links":[{"id":472406,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://research.rug.nl/en/publications/dd96a5e9-9828-4660-a829-e3c35aba7496","text":"External Repository"},{"id":338527,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"87","issue":"10","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2015-05-04","publicationStatus":"PW","scienceBaseUri":"58dcc7d6e4b02ff32c685679","contributors":{"authors":[{"text":"Gehre, Matthias","contributorId":34004,"corporation":false,"usgs":false,"family":"Gehre","given":"Matthias","email":"","affiliations":[],"preferred":false,"id":686716,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Renpenning, Julian","contributorId":189953,"corporation":false,"usgs":false,"family":"Renpenning","given":"Julian","email":"","affiliations":[],"preferred":false,"id":686717,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gilevska, Tetyana","contributorId":189992,"corporation":false,"usgs":false,"family":"Gilevska","given":"Tetyana","email":"","affiliations":[],"preferred":false,"id":686718,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Qi, Haiping 0000-0002-8339-744X haipingq@usgs.gov","orcid":"https://orcid.org/0000-0002-8339-744X","contributorId":507,"corporation":false,"usgs":true,"family":"Qi","given":"Haiping","email":"haipingq@usgs.gov","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":686719,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Coplen, Tyler B. 0000-0003-4884-6008 tbcoplen@usgs.gov","orcid":"https://orcid.org/0000-0003-4884-6008","contributorId":508,"corporation":false,"usgs":true,"family":"Coplen","given":"Tyler","email":"tbcoplen@usgs.gov","middleInitial":"B.","affiliations":[{"id":37464,"text":"WMA - Laboratory & Analytical Services Division","active":true,"usgs":true},{"id":27111,"text":"National Water Quality Program","active":true,"usgs":true},{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":686715,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Meijer, Harro A.J.","contributorId":187804,"corporation":false,"usgs":false,"family":"Meijer","given":"Harro","email":"","middleInitial":"A.J.","affiliations":[],"preferred":false,"id":686720,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Brand, Willi A.","contributorId":33091,"corporation":false,"usgs":false,"family":"Brand","given":"Willi","email":"","middleInitial":"A.","affiliations":[{"id":13365,"text":"Max-Planck Institute for Biogeochemistry, Jena, Germany","active":true,"usgs":false}],"preferred":false,"id":686721,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Schimmelmann, Arndt","contributorId":140051,"corporation":false,"usgs":false,"family":"Schimmelmann","given":"Arndt","affiliations":[{"id":13366,"text":"Indiana University, Bloomington, Indiana, USA","active":true,"usgs":false}],"preferred":false,"id":686722,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70188370,"text":"70188370 - 2015 - Determination of (4-methylcyclohexyl)methanol isomers by heated purge-and-trap GC/MS in water samples from the 2014 Elk River, West Virginia, chemical spill","interactions":[],"lastModifiedDate":"2017-06-07T11:30:14","indexId":"70188370","displayToPublicDate":"2015-01-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1226,"text":"Chemosphere","active":true,"publicationSubtype":{"id":10}},"title":"Determination of (4-methylcyclohexyl)methanol isomers by heated purge-and-trap GC/MS in water samples from the 2014 Elk River, West Virginia, chemical spill","docAbstract":"A heated purge-and-trap gas chromatography/mass spectrometry method was used to determine the cis- and trans-isomers of (4-methylcyclohexyl)methanol (4-MCHM), the reported major component of the Crude MCHM/Dowanol™ PPh glycol ether material spilled into the Elk River upriver from Charleston, West Virginia, on January 9, 2014. The trans-isomer eluted first and method detection limits were 0.16-μg L−1trans-, 0.28-μg L−1cis-, and 0.4-μg L−1 Total (total response of isomers) 4-MCHM. Estimated concentrations in the spill source material were 491-g L−1trans- and 277-g L−1cis-4-MCHM, the sum constituting 84% of the source material assuming its density equaled 4-MCHM. Elk River samples collected ⩽ 3.2 km downriver from the spill on January 15 had low (⩽2.9 μg L−1 Total) 4-MCHM concentrations, whereas the isomers were not detected in samples collected 2 d earlier at the same sites. Similar 4-MCHM concentrations (range 4.2–5.5 μg L−1 Total) occurred for samples of the Ohio River at Louisville, Kentucky, on January 17, ∼630 km downriver from the spill. Total 4-MCHM concentrations in Charleston, WV, office tap water decreased from 129 μg L−1 on January 27 to 2.2 μg L−1on February 3, but remained detectable in tap samples through final collection on February 25 indicating some persistence of 4-MCHM within the water distribution system. One isomer of methyl 4-methylcyclohexanecarboxylate was detected in all Ohio River and tap water samples, and both isomers were detected in the source material spilled.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.chemosphere.2014.11.006","usgsCitation":"Foreman, W.T., Rose, D.L., Chambers, D., Crain, A.S., Murtagh, L.K., Thakellapalli, H., and Wang, K.K., 2015, Determination of (4-methylcyclohexyl)methanol isomers by heated purge-and-trap GC/MS in water samples from the 2014 Elk River, West Virginia, chemical spill: Chemosphere, v. 131, p. 217-224, https://doi.org/10.1016/j.chemosphere.2014.11.006.","productDescription":"8 p.","startPage":"217","endPage":"224","ipdsId":"IP-056989","costCenters":[{"id":5046,"text":"Branch of Analytical Serv (NWQL)","active":true,"usgs":true}],"links":[{"id":472428,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.chemosphere.2014.11.006","text":"Publisher Index Page"},{"id":342219,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"West Virginia","otherGeospatial":"Elk River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -86.044921875,\n 38.09998264736481\n ],\n [\n -81.14501953125,\n 38.09998264736481\n ],\n [\n -81.14501953125,\n 38.70265930723801\n ],\n [\n -86.044921875,\n 38.70265930723801\n ],\n [\n -86.044921875,\n 38.09998264736481\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"131","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"593910b3e4b0764e6c5e88bf","contributors":{"authors":[{"text":"Foreman, William T. 0000-0002-2530-3310 wforeman@usgs.gov","orcid":"https://orcid.org/0000-0002-2530-3310","contributorId":190786,"corporation":false,"usgs":true,"family":"Foreman","given":"William","email":"wforeman@usgs.gov","middleInitial":"T.","affiliations":[{"id":5046,"text":"Branch of Analytical Serv (NWQL)","active":true,"usgs":true},{"id":503,"text":"Office of Water Quality","active":true,"usgs":true},{"id":37464,"text":"WMA - Laboratory & Analytical Services Division","active":true,"usgs":true}],"preferred":true,"id":697422,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rose, Donna L. 0000-0003-1216-9914 dlrose@usgs.gov","orcid":"https://orcid.org/0000-0003-1216-9914","contributorId":4546,"corporation":false,"usgs":true,"family":"Rose","given":"Donna","email":"dlrose@usgs.gov","middleInitial":"L.","affiliations":[{"id":5046,"text":"Branch of Analytical Serv (NWQL)","active":true,"usgs":true}],"preferred":true,"id":697423,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Chambers, Douglas B. 0000-0002-5275-5427 dbchambe@usgs.gov","orcid":"https://orcid.org/0000-0002-5275-5427","contributorId":2520,"corporation":false,"usgs":true,"family":"Chambers","given":"Douglas B.","email":"dbchambe@usgs.gov","affiliations":[{"id":642,"text":"West Virginia Water Science Center","active":true,"usgs":true}],"preferred":true,"id":697424,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Crain, Angela S. 0000-0003-0969-6238 ascrain@usgs.gov","orcid":"https://orcid.org/0000-0003-0969-6238","contributorId":3090,"corporation":false,"usgs":true,"family":"Crain","given":"Angela","email":"ascrain@usgs.gov","middleInitial":"S.","affiliations":[{"id":354,"text":"Kentucky Water Science Center","active":true,"usgs":true},{"id":27231,"text":"Indiana-Kentucky Water Science Center","active":true,"usgs":true}],"preferred":true,"id":697426,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Murtagh, Lucinda K. 0000-0003-2885-4385 lmurtagh@usgs.gov","orcid":"https://orcid.org/0000-0003-2885-4385","contributorId":5382,"corporation":false,"usgs":true,"family":"Murtagh","given":"Lucinda","email":"lmurtagh@usgs.gov","middleInitial":"K.","affiliations":[{"id":5046,"text":"Branch of Analytical Serv (NWQL)","active":true,"usgs":true}],"preferred":true,"id":697425,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Thakellapalli, Haresh 0000-0002-2432-489X","orcid":"https://orcid.org/0000-0002-2432-489X","contributorId":192701,"corporation":false,"usgs":false,"family":"Thakellapalli","given":"Haresh","email":"","affiliations":[],"preferred":false,"id":697427,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Wang, Kung K. 0000-0001-7039-2984","orcid":"https://orcid.org/0000-0001-7039-2984","contributorId":192702,"corporation":false,"usgs":false,"family":"Wang","given":"Kung","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":697428,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70188826,"text":"70188826 - 2015 - Isotopic geochemistry of Panama rivers","interactions":[],"lastModifiedDate":"2017-06-27T13:01:29","indexId":"70188826","displayToPublicDate":"2015-01-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3828,"text":"Procedia Earth and Planetary Science","active":true,"publicationSubtype":{"id":10}},"title":"Isotopic geochemistry of Panama rivers","docAbstract":"River water samples collected from 78 watersheds rivers along a 500-km transect across a Late Cretaceous-Tertiary andesitic volcanic arc terrane in west-central Panama provide a synoptic overview of riverine geochemistry, chemical denudation, and CO2 consumption in the tropics. D/H and 18O/16O relationships indicate that bedrock dissolution of andesitic arc crust in Panama is driven by water-rock interaction with meteoric precipitation as it passes through the critical zone, with no evidence of a geothermal or hydrothermal input. Sr-isotope relationships suggest a geochemical evolution for Panama riverine waters that involves mixing of bedrock pore water with water having 87Sr/86Sr ratios between 0.7037-0.7043 and relatively high Sr-contents with waters of low Sr content that enriched in radiogenic Sr that are diluted by infiltrating rainfall to variable extents.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.proeps.2015.07.026","usgsCitation":"Harmon, R.S., Worner, G., Pribil, M., Kern, Z., Forizs, I., Lyons, W.B., Gardner, C.B., and Goldsmith, S.T., 2015, Isotopic geochemistry of Panama rivers: Procedia Earth and Planetary Science, v. 13, p. 108-111, https://doi.org/10.1016/j.proeps.2015.07.026.","productDescription":"4 p.","startPage":"108","endPage":"111","ipdsId":"IP-068818","costCenters":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"links":[{"id":472427,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.proeps.2015.07.026","text":"Publisher Index Page"},{"id":342972,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Panama","volume":"13","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59536eace4b062508e3c7a95","contributors":{"authors":[{"text":"Harmon, Russell S.","contributorId":193452,"corporation":false,"usgs":false,"family":"Harmon","given":"Russell","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":700513,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Worner, Gerhard","contributorId":193453,"corporation":false,"usgs":false,"family":"Worner","given":"Gerhard","email":"","affiliations":[],"preferred":false,"id":700514,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Pribil, Michael J. 0000-0003-4859-8673 mpribil@usgs.gov","orcid":"https://orcid.org/0000-0003-4859-8673","contributorId":141158,"corporation":false,"usgs":true,"family":"Pribil","given":"Michael","email":"mpribil@usgs.gov","middleInitial":"J.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":700512,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kern, Zoltan","contributorId":193454,"corporation":false,"usgs":false,"family":"Kern","given":"Zoltan","email":"","affiliations":[],"preferred":false,"id":700515,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Forizs, Istvan","contributorId":193455,"corporation":false,"usgs":false,"family":"Forizs","given":"Istvan","email":"","affiliations":[],"preferred":false,"id":700516,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Lyons, W. Berry","contributorId":193456,"corporation":false,"usgs":false,"family":"Lyons","given":"W.","email":"","middleInitial":"Berry","affiliations":[],"preferred":false,"id":700517,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Gardner, Christopher B.","contributorId":193457,"corporation":false,"usgs":false,"family":"Gardner","given":"Christopher","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":700518,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Goldsmith, Steven T.","contributorId":193458,"corporation":false,"usgs":false,"family":"Goldsmith","given":"Steven","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":700519,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70182234,"text":"70182234 - 2015 - River corridor science: Hydrologic exchange and ecological consequences from bedforms to basins","interactions":[],"lastModifiedDate":"2017-02-21T15:21:24","indexId":"70182234","displayToPublicDate":"2015-01-01T00:00:00","publicationYear":"2015","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":"River corridor science: Hydrologic exchange and ecological consequences from bedforms to basins","docAbstract":"Previously regarded as the passive drains of watersheds, over the past 50 years, rivers have progressively been recognized as being actively connected with off-channel environments. These connections prolong physical storage and enhance reactive processing to alter water chemistry and downstream transport of materials and energy. Here we propose river corridor science as a concept that integrates downstream transport with lateral and vertical exchange across interfaces. Thus, the river corridor, rather than the wetted river channel itself, is an increasingly common unit of study. Main channel exchange with recirculating marginal waters, hyporheic exchange, bank storage, and overbank flow onto floodplains are all included under a broad continuum of interactions known as “hydrologic exchange flows.” Hydrologists, geomorphologists, geochemists, and aquatic and terrestrial ecologists are cooperating in studies that reveal the dynamic interactions among hydrologic exchange flows and consequences for water quality improvement, modulation of river metabolism, habitat provision for vegetation, fish, and wildlife, and other valued ecosystem services. The need for better integration of science and management is keenly felt, from testing effectiveness of stream restoration and riparian buffers all the way to reevaluating the definition of the waters of the United States to clarify the regulatory authority under the Clean Water Act. A major challenge for scientists is linking the small-scale physical drivers with their larger-scale fluvial and geomorphic context and ecological consequences. Although the fine scales of field and laboratory studies are best suited to identifying the fundamental physical and biological processes, that understanding must be successfully linked to cumulative effects at watershed to regional and continental scales.
","language":"English","publisher":"Wiley","doi":"10.1002/2015WR017617","usgsCitation":"Harvey, J., and Gooseff, M., 2015, River corridor science: Hydrologic exchange and ecological consequences from bedforms to basins: Water Resources Research, v. 51, no. 9, p. 6893-6922, https://doi.org/10.1002/2015WR017617.","productDescription":"30 p.","startPage":"6893","endPage":"6922","ipdsId":"IP-066971","costCenters":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true},{"id":29789,"text":"John Wesley Powell Center for Analysis and Synthesis","active":true,"usgs":true}],"links":[{"id":335903,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"51","issue":"9","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2015-09-04","publicationStatus":"PW","scienceBaseUri":"58ad5fc2e4b01ccd54f8b523","contributors":{"authors":[{"text":"Harvey, Judson 0000-0002-2654-9873 jwharvey@usgs.gov","orcid":"https://orcid.org/0000-0002-2654-9873","contributorId":140228,"corporation":false,"usgs":true,"family":"Harvey","given":"Judson","email":"jwharvey@usgs.gov","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":false,"id":670103,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gooseff, Michael","contributorId":181942,"corporation":false,"usgs":false,"family":"Gooseff","given":"Michael","affiliations":[],"preferred":false,"id":670104,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70182228,"text":"70182228 - 2015 - Denitrification in the Mississippi River network controlled by flow through river bedforms","interactions":[],"lastModifiedDate":"2020-09-01T14:28:52.992248","indexId":"70182228","displayToPublicDate":"2015-01-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2845,"text":"Nature Geoscience","active":true,"publicationSubtype":{"id":10}},"title":"Denitrification in the Mississippi River network controlled by flow through river bedforms","docAbstract":"Increasing nitrogen concentrations in the world’s major rivers have led to over-fertilization of sensitive downstream waters. Flow through channel bed and bank sediments acts to remove riverine nitrogen through microbe-mediated denitrification reactions. However, little is understood about where in the channel network this biophysical process is most efficient, why certain channels are more effective nitrogen reactors, and how management practices can enhance the removal of nitrogen in regions where water circulates through sediment and mixes with groundwater - hyporheic zones. Here we present numerical simulations of hyporheic flow and denitrification throughout the Mississippi River network using a hydrogeomorphic model. We find that vertical exchange with sediments beneath the riverbed in hyporheic zones, driven by submerged bedforms, has denitrification potential that far exceeds lateral hyporheic exchange with sediments alongside river channels, driven by river bars and meandering banks. We propose that geomorphic differences along river corridors can explain why denitrification efficiency varies between basins in the Mississippi River network. Our findings suggest that promoting the development of permeable bedforms at the streambed - and thus vertical hyporheic exchange - would be more effective at enhancing river denitrification in large river basins than promoting lateral exchange through induced channel meandering.
","language":"English","publisher":"Nature Publishing Group","doi":"10.1038/NGEO2567","usgsCitation":"Gomez-Velez, J., Harvey, J.W., Cardenas, M.B., and Kiel, B., 2015, Denitrification in the Mississippi River network controlled by flow through river bedforms: Nature Geoscience, v. 8, p. 941-945, https://doi.org/10.1038/NGEO2567.","productDescription":"5 p.","startPage":"941","endPage":"945","ipdsId":"IP-066691","costCenters":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true},{"id":29789,"text":"John Wesley Powell Center for Analysis and Synthesis","active":true,"usgs":true}],"links":[{"id":335897,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Mississippi River Network","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -96.15234375,\n 46.042735653846506\n ],\n [\n -104.30419921875,\n 49.009050809382046\n ],\n [\n -109.18212890625,\n 49.296471602658066\n ],\n [\n -113.04931640625,\n 48.79239019646406\n ],\n [\n -113.466796875,\n 45.1510532655634\n ],\n [\n -112.7197265625,\n 43.61221676817573\n ],\n [\n -105.3369140625,\n 40.094882122321145\n ],\n [\n -102.12890625,\n 38.44498466889473\n ],\n [\n -94.658203125,\n 37.96152331396614\n ],\n [\n -87.890625,\n 36.10237644873644\n ],\n [\n -85.517578125,\n 35.38904996691167\n ],\n [\n -82.177734375,\n 37.23032838760387\n ],\n [\n -81.5625,\n 36.73888412439431\n ],\n [\n -81.9140625,\n 36.31512514748051\n ],\n [\n -80.419921875,\n 36.87962060502676\n ],\n [\n -78.92578124999999,\n 42.87596410238256\n ],\n [\n -81.73828125,\n 40.97989806962013\n ],\n [\n -84.287109375,\n 40.97989806962013\n ],\n [\n -85.078125,\n 42.22851735620852\n ],\n [\n -86.1328125,\n 42.5530802889558\n ],\n [\n -87.275390625,\n 41.64007838467894\n ],\n [\n -87.802734375,\n 42.293564192170095\n ],\n [\n -87.890625,\n 43.068887774169625\n ],\n [\n -91.845703125,\n 46.558860303117164\n ],\n [\n -94.04296874999999,\n 47.81315451752768\n ],\n [\n -95.09765625,\n 47.21956811231547\n ],\n [\n -95.537109375,\n 46.800059446787316\n ],\n [\n -96.15234375,\n 46.042735653846506\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"8","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2015-10-26","publicationStatus":"PW","scienceBaseUri":"58ad5fc3e4b01ccd54f8b527","contributors":{"authors":[{"text":"Gomez-Velez, Jesus D. jgomezvelez@usgs.gov","contributorId":5362,"corporation":false,"usgs":true,"family":"Gomez-Velez","given":"Jesus D.","email":"jgomezvelez@usgs.gov","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":false,"id":670075,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Harvey, Judson W. 0000-0002-2654-9873 jwharvey@usgs.gov","orcid":"https://orcid.org/0000-0002-2654-9873","contributorId":1796,"corporation":false,"usgs":true,"family":"Harvey","given":"Judson","email":"jwharvey@usgs.gov","middleInitial":"W.","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":670074,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cardenas, M. 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We focus on the open estuarine waters, excluding the fringing wetlands. We developed empirical models relating NEP to loading ratios of dissolved inorganic nitrogen to total organic carbon, and carbon burial in the sediment to estuarine water residence time and total nitrogen input across the landward boundary. Output from a data-constrained water quality model was used to estimate inputs of total nitrogen and organic carbon to the estuaries across the landward boundary, including fluvial and tidal-wetland sources. Organic carbon export from the estuaries to the continental shelf was computed by difference, assuming steady state. Uncertainties in the budget were estimated by allowing uncertainties in the supporting model relations. Collectively, U.S. East Coast estuaries are net heterotrophic, with the area-integrated NEP of −1.5 (−2.8, −1.0) Tg C yr−1 (best estimate and 95% confidence interval) and area-normalized NEP of −3.2 (−6.1, −2.3) mol C m−2 yr−1. East Coast estuaries serve as a source of organic carbon to the shelf, exporting 3.4 (2.0, 4.3) Tg C yr−1 or 7.6 (4.4, 9.5) mol C m−2 yr−1. Organic carbon inputs from fluvial and tidal-wetland sources for the region are estimated at 5.4 (4.6, 6.5) Tg C yr−1 or 12 (10, 14) mol C m−2 yr−1 and carbon burial in the open estuarine waters at 0.50 (0.33, 0.78) Tg C yr−1 or 1.1 (0.73, 1.7) mol C m−2 yr−1. Our results highlight the importance of estuarine systems in the overall coastal budget of organic carbon, suggesting that in the aggregate, U.S. East Coast estuaries assimilate (via respiration and burial) ~40% of organic carbon inputs from fluvial and tidal-wetland sources and allow ~60% to be exported to the shelf.
","language":"English","publisher":"AGU","doi":"10.1002/2013GB004736","usgsCitation":"Herrmann, M., Najjar, R., Kemp, W.M., Alexander, R.B., Boyer, E.W., Cai, W., Griffith, P.C., Kroeger, K.D., McCallister, S.L., and Smith, R.A., 2015, Net ecosystem production and organic carbon balance of U.S. East Coast estuaries: A synthesis approach: Global Biogeochemical Cycles, v. 29, no. 1, p. 96-111, https://doi.org/10.1002/2013GB004736.","productDescription":"16 p.","startPage":"96","endPage":"111","ipdsId":"IP-051697","costCenters":[{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true}],"links":[{"id":347491,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -66.9287109375,\n 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Leigh","contributorId":198523,"corporation":false,"usgs":false,"family":"McCallister","given":"S.","email":"","middleInitial":"Leigh","affiliations":[{"id":12991,"text":"Department of Biology, Virginia Commonwealth University","active":true,"usgs":false}],"preferred":false,"id":716429,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Smith, Richard A. 0000-0003-2117-2269 rsmith1@usgs.gov","orcid":"https://orcid.org/0000-0003-2117-2269","contributorId":580,"corporation":false,"usgs":true,"family":"Smith","given":"Richard","email":"rsmith1@usgs.gov","middleInitial":"A.","affiliations":[{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true},{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true},{"id":503,"text":"Office of Water Quality","active":true,"usgs":true}],"preferred":true,"id":716430,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}} ,{"id":70192549,"text":"70192549 - 2015 - Duckling survival, fecundity, and habitat selection of mottled duck broods on the upper Texas Gulf Coast","interactions":[],"lastModifiedDate":"2017-11-27T13:02:30","indexId":"70192549","displayToPublicDate":"2015-01-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3909,"text":"Journal of the Southeastern Association of Fish and Wildlife Agencies","active":true,"publicationSubtype":{"id":10}},"title":"Duckling survival, fecundity, and habitat selection of mottled duck broods on the upper Texas Gulf Coast","docAbstract":"Mottled ducks (Anas fulvigula) on the western Gulf Coast have exhibited a steep population decline since the mid 1990s. Low rates of breeding incidence and nest success have been implicated in this decline, but duckling survival and the habitat needs of broods have not been previously investigated in this region. We fitted mottled duck ducklings and adult females with radio transmitters and tracked broods to estimate duckling survival and brood habitat selection on the upper Texas Gulf Coast. Duckling survival to 30 days was high (range among models 0.354–0.567) compared to other dabbling duck species. Estimated fecundity was low, (range among models 0.398–0.634) however, indicating that overall reproductive output is low. Within coastal marsh, broods selected home ranges with more water cover and less upland and fresh marsh landcover than was available in the study area. Within coastal marsh home ranges, broods selected for water cover relative to other landcover types, and there was some evidence that broods avoided unvegetated landcover. Although high quality brood habitat is undeniably important, management efforts to increase mottled duck population growth on the western Gulf Coast may best be spent on increasing nesting habitat quality to increase nest success and breeding incidence.
","language":"English","publisher":"Southeastern Association of Fish and Wildlife Agencies","usgsCitation":"Rigby, E.A., and Haukos, D.A., 2015, Duckling survival, fecundity, and habitat selection of mottled duck broods on the upper Texas Gulf Coast: Journal of the Southeastern Association of Fish and Wildlife Agencies, v. 2, p. 156-163.","productDescription":"8 p.","startPage":"156","endPage":"163","ipdsId":"IP-057826","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":349366,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":349365,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.seafwa.org/publications/journal/?id=103"}],"country":"United States","state":"Texas","volume":"2","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a60fec8e4b06e28e9c25365","contributors":{"authors":[{"text":"Rigby, Elizabeth A.","contributorId":171479,"corporation":false,"usgs":false,"family":"Rigby","given":"Elizabeth","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":723573,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Haukos, David A. 0000-0001-5372-9960 dhaukos@usgs.gov","orcid":"https://orcid.org/0000-0001-5372-9960","contributorId":3664,"corporation":false,"usgs":true,"family":"Haukos","given":"David","email":"dhaukos@usgs.gov","middleInitial":"A.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":716164,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70192434,"text":"70192434 - 2015 - Silvio O. Conte National Fish and Wildlife Refuge: Draft comprehensive conservation plan and environmental impact statement","interactions":[],"lastModifiedDate":"2018-02-02T11:46:55","indexId":"70192434","displayToPublicDate":"2015-01-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":1,"text":"Federal Government Series"},"title":"Silvio O. Conte National Fish and Wildlife Refuge: Draft comprehensive conservation plan and environmental impact statement","docAbstract":"The Connecticut River is treasured by all for its majesty and significance in supporting life along its winding 410-mile passage through urban and rural communities in New Hampshire, Vermont, Massachusetts, and Connecticut. Working with our partners, we are inspired to protect and enhance the natural and cultural richness throughout the watershed, especially on lands and waters entrusted to our agency as the Silvio O. Conte National Fish and Wildlife Refuge.
Together with our partners, we design, support, and implement strategic conservation actions across the watershed, and communicate conservation needs and successes through extensive outreach and education programs. On refuge lands, we offer visitor programs and activities that promote an appreciation of the Connecticut River watershed as an intact, interconnected, and healthy ecosystem. Visitors respond to this greater awareness by becoming active stewards of the watershed’s natural and cultural resources. Our actions exemplify the Service’s vital role in conserving the Connecticut River watershed and the refuge’s important contribution to the mission of the National Wildlife Refuge System.
","language":"English","publisher":"U.S. Fish and Wildlife Service","usgsCitation":"U.S. Fish and Wildlife Service, Donovan, E., Gascoigne, W., and Cullinane Thomas, C., 2015, Silvio O. Conte National Fish and Wildlife Refuge: Draft comprehensive conservation plan and environmental impact statement, 648 p.","productDescription":"648 p.","ipdsId":"IP-056149","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":350959,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":347382,"type":{"id":15,"text":"Index Page"},"url":"https://www.fws.gov/uploadedFiles/Region_5/NWRS/North_Zone/Silvio_O_Conte_Complex/Silvio_O_Conte/11w_Entire_Document(7078KB).pdf"}],"country":"United States","state":"Vermont","otherGeospatial":"Silvio O. Conte National Fish and Wildlife Refuge","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a7586dce4b00f54eb1d8208","contributors":{"authors":[{"text":"U.S. Fish and Wildlife Service","contributorId":128143,"corporation":true,"usgs":false,"organization":"U.S. Fish and Wildlife Service","id":726566,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Donovan, Elizabeth edonovan@usgs.gov","contributorId":5179,"corporation":false,"usgs":true,"family":"Donovan","given":"Elizabeth","email":"edonovan@usgs.gov","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":715809,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gascoigne, William gascoignew@usgs.gov","contributorId":4462,"corporation":false,"usgs":true,"family":"Gascoigne","given":"William","email":"gascoignew@usgs.gov","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":715810,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Cullinane Thomas, Catherine 0000-0001-8168-1271 ccullinanethomas@usgs.gov","orcid":"https://orcid.org/0000-0001-8168-1271","contributorId":141097,"corporation":false,"usgs":true,"family":"Cullinane Thomas","given":"Catherine","email":"ccullinanethomas@usgs.gov","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":715811,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70193301,"text":"70193301 - 2015 - Copper toxicity and organic matter: Resiliency of watersheds in the Duluth Complex, Minnesota, USA","interactions":[],"lastModifiedDate":"2018-02-14T11:20:21","indexId":"70193301","displayToPublicDate":"2015-01-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Copper toxicity and organic matter: Resiliency of watersheds in the Duluth Complex, Minnesota, USA","docAbstract":"We estimated copper (Cu) toxicity in surface water with high dissolved organic matter (DOM) for unmined mineralized watersheds of the Duluth Complex using the Biotic Ligand Model (BLM), which evaluates the effect of DOM, cation competition for biologic binding sites, and metal speciation. A sediment-based BLM was used to estimate stream-sediment toxicity; this approach factors in the cumulative effects of multiple metals, incorporation of metals into less bioavailable sulfides, and complexation of metals with organic carbon.
For surface water, the formation of Cu-DOM complexes significantly reduces the amount of Cu available to aquatic organisms. The protective effects of cations, such as calcium (Ca) and magnesium (Mg), competing with Cu to complex with the biotic ligand is likely not as important as DOM in water with high DOM and low hardness. Standard hardness-based water quality criteria (WQC) are probably inadequate for describing Cu toxicity in such waters and a BLM approach may yield more accurate results. Nevertheless, assumptions about relative proportions of humic acid (HA) and fulvic acid (FA) in DOM significantly influence BLM results; the higher the HA fraction, the higher calculated resiliency of the water to Cu toxicity. Another important factor is seasonal variation in water chemistry, with greater resiliency to Cu toxicity during low flow compared to high flow.
Based on generally low total organic carbon and sulfur content, and equivalent metal ratios from total and weak partial extractions, much of the total metal concentration in clastic streambedsediments may be in bioavailable forms, sorbed on clays or hydroxide phases. However, organicrich fine-grained sediment in the numerous wetlands may sequester significant amount of metals, limiting their bioavailability. A high proportion of organic matter in waters and some sediments will play a key role in the resiliency of these watersheds to potential additional metal loads associated with future mining operations.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Proceedings of the 10th International Conference on Acid Rock Drainage and IMWA Annual Conference","largerWorkSubtype":{"id":12,"text":"Conference publication"},"language":"English","publisher":"International Mine Water Association","usgsCitation":"Piatak, N.M., Seal, R.R., Jones, P.M., and Woodruff, L.G., 2015, Copper toxicity and organic matter: Resiliency of watersheds in the Duluth Complex, Minnesota, USA, in Proceedings of the 10th International Conference on Acid Rock Drainage and IMWA Annual Conference, 10 p.","productDescription":"10 p.","ipdsId":"IP-059790","costCenters":[{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"links":[{"id":351595,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":347876,"type":{"id":15,"text":"Index Page"},"url":"https://www.imwa.info/imwaconferencesandcongresses/proceedings/293-proceedings-2015.html"}],"country":"United States","state":"Minnesota","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -92.22610473632811,\n 47.46059403884124\n ],\n [\n -91.58752441406249,\n 47.46059403884124\n ],\n [\n -91.58752441406249,\n 47.92830585913796\n ],\n [\n -92.22610473632811,\n 47.92830585913796\n ],\n [\n -92.22610473632811,\n 47.46059403884124\n ]\n ]\n ]\n }\n }\n ]\n}","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5afeebeee4b0da30c1bfc69c","contributors":{"authors":[{"text":"Piatak, Nadine M. 0000-0002-1973-8537 npiatak@usgs.gov","orcid":"https://orcid.org/0000-0002-1973-8537","contributorId":193010,"corporation":false,"usgs":true,"family":"Piatak","given":"Nadine","email":"npiatak@usgs.gov","middleInitial":"M.","affiliations":[{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":718593,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Seal, Robert R. 0000-0003-0901-2529 rseal@usgs.gov","orcid":"https://orcid.org/0000-0003-0901-2529","contributorId":193011,"corporation":false,"usgs":true,"family":"Seal","given":"Robert","email":"rseal@usgs.gov","middleInitial":"R.","affiliations":[{"id":250,"text":"Eastern Water Science Field Team","active":true,"usgs":true},{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":718594,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Jones, Perry M. 0000-0002-6569-5144 pmjones@usgs.gov","orcid":"https://orcid.org/0000-0002-6569-5144","contributorId":2231,"corporation":false,"usgs":true,"family":"Jones","given":"Perry","email":"pmjones@usgs.gov","middleInitial":"M.","affiliations":[{"id":392,"text":"Minnesota Water Science Center","active":true,"usgs":true}],"preferred":true,"id":718595,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Woodruff, Laurel G. 0000-0002-2514-9923 woodruff@usgs.gov","orcid":"https://orcid.org/0000-0002-2514-9923","contributorId":2224,"corporation":false,"usgs":true,"family":"Woodruff","given":"Laurel","email":"woodruff@usgs.gov","middleInitial":"G.","affiliations":[{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":718596,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ]}