{"pageNumber":"210","pageRowStart":"5225","pageSize":"25","recordCount":16506,"records":[{"id":70032711,"text":"70032711 - 2010 - Gypsies in the palace: Experimentalist's view on the use of 3-D physics-based simulation of hillslope hydrological response","interactions":[],"lastModifiedDate":"2012-03-12T17:21:23","indexId":"70032711","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1924,"text":"Hydrological Processes","active":true,"publicationSubtype":{"id":10}},"title":"Gypsies in the palace: Experimentalist's view on the use of 3-D physics-based simulation of hillslope hydrological response","docAbstract":"As a fundamental unit of the landscape, hillslopes are studied for their retention and release of water and nutrients across a wide range of ecosystems. The understanding of these near-surface processes is relevant to issues of runoff generation, groundwater-surface water interactions, catchment export of nutrients, dissolved organic carbon, contaminants (e.g. mercury) and ultimately surface water health. We develop a 3-D physics-based representation of the Panola Mountain Research Watershed experimental hillslope using the TOUGH2 sub-surface flow and transport simulator. A recent investigation of sub-surface flow within this experimental hillslope has generated important knowledge of threshold rainfall-runoff response and its relation to patterns of transient water table development. This work has identified components of the 3-D sub-surface, such as bedrock topography, that contribute to changing connectivity in saturated zones and the generation of sub-surface stormflow. Here, we test the ability of a 3-D hillslope model (both calibrated and uncalibrated) to simulate forested hillslope rainfall-runoff response and internal transient sub-surface stormflow dynamics. We also provide a transparent illustration of physics-based model development, issues of parameterization, examples of model rejection and usefulness of data types (e.g. runoff, mean soil moisture and transient water table depth) to the model enterprise. Our simulations show the inability of an uncalibrated model based on laboratory and field characterization of soil properties and topography to successfully simulate the integrated hydrological response or the distributed water table within the soil profile. Although not an uncommon result, the failure of the field-based characterized model to represent system behaviour is an important challenge that continues to vex scientists at many scales. We focus our attention particularly on examining the influence of bedrock permeability, soil anisotropy and drainable porosity on the development of patterns of transient groundwater and sub-surface flow. Internal dynamics of transient water table development prove to be essential in determining appropriate model parameterization. ?? 2010 John Wiley & Sons, Ltd.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Hydrological Processes","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1002/hyp.7819","issn":"08856087","usgsCitation":"James, A., McDonnell, J.J., Tromp-Van Meerveld, I., and Peters, N., 2010, Gypsies in the palace: Experimentalist's view on the use of 3-D physics-based simulation of hillslope hydrological response: Hydrological Processes, v. 24, no. 26, p. 3878-3893, https://doi.org/10.1002/hyp.7819.","startPage":"3878","endPage":"3893","numberOfPages":"16","costCenters":[],"links":[{"id":241262,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":213617,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1002/hyp.7819"}],"volume":"24","issue":"26","noUsgsAuthors":false,"publicationDate":"2010-12-10","publicationStatus":"PW","scienceBaseUri":"505a2e6be4b0c8380cd5c50d","contributors":{"authors":[{"text":"James, A.L.","contributorId":40710,"corporation":false,"usgs":true,"family":"James","given":"A.L.","email":"","affiliations":[],"preferred":false,"id":437584,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McDonnell, Jeffery J. 0000-0002-3880-3162","orcid":"https://orcid.org/0000-0002-3880-3162","contributorId":62723,"corporation":false,"usgs":false,"family":"McDonnell","given":"Jeffery","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":437585,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Tromp-Van Meerveld, I.","contributorId":103882,"corporation":false,"usgs":true,"family":"Tromp-Van Meerveld","given":"I.","email":"","affiliations":[],"preferred":false,"id":437586,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Peters, N.E.","contributorId":33332,"corporation":false,"usgs":true,"family":"Peters","given":"N.E.","email":"","affiliations":[],"preferred":false,"id":437583,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70032698,"text":"70032698 - 2010 - Mixing effects on apparent reaction rates and isotope fractionation during denitrification in a heterogeneous aquifer","interactions":[],"lastModifiedDate":"2018-10-09T10:50:46","indexId":"70032698","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","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":"Mixing effects on apparent reaction rates and isotope fractionation during denitrification in a heterogeneous aquifer","docAbstract":"<p><span>Gradients in contaminant concentrations and isotopic compositions commonly are used to derive reaction parameters for natural attenuation in aquifers. Differences between field‐scale (apparent) estimated reaction rates and isotopic fractionations and local‐scale (intrinsic) effects are poorly understood for complex natural systems. For a heterogeneous alluvial fan aquifer, numerical models and field observations were used to study the effects of physical heterogeneity on reaction parameter estimates. Field measurements included major ions, age tracers, stable isotopes, and dissolved gases. Parameters were estimated for the O</span><sub>2</sub><span><span>&nbsp;</span>reduction rate, denitrification rate, O</span><sub>2</sub><span><span>&nbsp;</span>threshold for denitrification, and stable N isotope fractionation during denitrification. For multiple geostatistical realizations of the aquifer, inverse modeling was used to establish reactive transport simulations that were consistent with field observations and served as a basis for numerical experiments to compare sample‐based estimates of “apparent” parameters with “true“ (intrinsic) values. For this aquifer, non‐Gaussian dispersion reduced the magnitudes of apparent reaction rates and isotope fractionations to a greater extent than Gaussian mixing alone. Apparent and true rate constants and fractionation parameters can differ by an order of magnitude or more, especially for samples subject to slow transport, long travel times, or rapid reactions. The effect of mixing on apparent N isotope fractionation potentially explains differences between previous laboratory and field estimates. Similarly, predicted effects on apparent O</span><sub>2</sub><span>threshold values for denitrification are consistent with previous reports of higher values in aquifers than in the laboratory. These results show that hydrogeological complexity substantially influences the interpretation and prediction of reactive transport.</span></p>","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2009WR008903","usgsCitation":"Green, C.T., Bohlke, J., Bekins, B.A., and Phillips, S.P., 2010, Mixing effects on apparent reaction rates and isotope fractionation during denitrification in a heterogeneous aquifer: Water Resources Research, v. 46, no. 8, Article W08525; 19 p., https://doi.org/10.1029/2009WR008903.","productDescription":"Article W08525; 19 p.","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":476083,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2009wr008903","text":"Publisher Index Page"},{"id":241598,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"46","issue":"8","noUsgsAuthors":false,"publicationDate":"2010-08-13","publicationStatus":"PW","scienceBaseUri":"505a5b86e4b0c8380cd6f5f5","contributors":{"authors":[{"text":"Green, Christopher T. 0000-0002-6480-8194 ctgreen@usgs.gov","orcid":"https://orcid.org/0000-0002-6480-8194","contributorId":1343,"corporation":false,"usgs":true,"family":"Green","given":"Christopher","email":"ctgreen@usgs.gov","middleInitial":"T.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":437513,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bohlke, J.K. 0000-0001-5693-6455 jkbohlke@usgs.gov","orcid":"https://orcid.org/0000-0001-5693-6455","contributorId":191103,"corporation":false,"usgs":true,"family":"Bohlke","given":"J.K.","email":"jkbohlke@usgs.gov","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":36183,"text":"Hydro-Ecological Interactions Branch","active":true,"usgs":true},{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":437514,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bekins, Barbara A. 0000-0002-1411-6018 babekins@usgs.gov","orcid":"https://orcid.org/0000-0002-1411-6018","contributorId":1348,"corporation":false,"usgs":true,"family":"Bekins","given":"Barbara","email":"babekins@usgs.gov","middleInitial":"A.","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":36183,"text":"Hydro-Ecological Interactions Branch","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":437515,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Phillips, Steven P. 0000-0002-5107-868X sphillip@usgs.gov","orcid":"https://orcid.org/0000-0002-5107-868X","contributorId":1506,"corporation":false,"usgs":true,"family":"Phillips","given":"Steven","email":"sphillip@usgs.gov","middleInitial":"P.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":437512,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70032578,"text":"70032578 - 2010 - Seasonal groundwater contribution to crop-water use assessed with lysimeter observations and model simulations","interactions":[],"lastModifiedDate":"2012-03-12T17:21:22","indexId":"70032578","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2342,"text":"Journal of Hydrology","active":true,"publicationSubtype":{"id":10}},"title":"Seasonal groundwater contribution to crop-water use assessed with lysimeter observations and model simulations","docAbstract":"Groundwater evaporation can play an important role in crop-water use where the water table is shallow. Lysimeters are often used to quantify the groundwater evaporation contribution influenced by a broad range of environmental factors. However, it is difficult for such field facilities, which are operated under limited conditions within limited time, to capture the whole spectrum of capillary upflow with regard to the inter-seasonal variability of climate, especially rainfall. Therefore, in this work, the method of combining lysimeter and numerical experiments was implemented to investigate seasonal groundwater contribution to crop-water use. Groundwater evaporation experiments were conducted through a weighing lysimeter at an agricultural experiment station located within an irrigation district in the lower Yellow River Basin for two winter wheat growth seasons. A HYDRUS-1D model was first calibrated and validated with weighing lysimeter data, and then was employed to perform scenario simulations of groundwater evaporation under different depths to water table (DTW) and water input (rainfall plus irrigation) driven by long term meteorological data. The scenario simulations revealed that the seasonally averaged groundwater evaporation amount was linearly correlated to water input for different values of DTW. The linear regression could explain more than 70% of the variability. The seasonally averaged ratio of the groundwater contribution to crop-water use varied with the seasonal water input and DTW. The ratio reached as high as 75% in the case of DTW=1.0. m and no irrigation, and as low as 3% in the case of DTW=3.0. m and three irrigation applications. The results also revealed that the ratio of seasonal groundwater evaporation to potential evapotranspiration could be fitted to an exponential function of the DTW that may be applied to estimate seasonal groundwater evaporation. In this case study of multilayered soil profile, the depth at which groundwater may evaporate at potential rate was 0.60-0.65. m, and the extinction depth of groundwater evaporation was approximately 3.8. m. ?? 2010 Elsevier B.V.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Hydrology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1016/j.jhydrol.2010.06.011","issn":"00221694","usgsCitation":"Luo, Y., and Sophocleous, M., 2010, Seasonal groundwater contribution to crop-water use assessed with lysimeter observations and model simulations: Journal of Hydrology, v. 389, no. 3-4, p. 325-335, https://doi.org/10.1016/j.jhydrol.2010.06.011.","startPage":"325","endPage":"335","numberOfPages":"11","costCenters":[],"links":[{"id":213638,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.jhydrol.2010.06.011"},{"id":241284,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"389","issue":"3-4","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505b88aae4b08c986b316ab9","contributors":{"authors":[{"text":"Luo, Y.","contributorId":28417,"corporation":false,"usgs":true,"family":"Luo","given":"Y.","email":"","affiliations":[],"preferred":false,"id":436902,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sophocleous, M.","contributorId":13373,"corporation":false,"usgs":true,"family":"Sophocleous","given":"M.","email":"","affiliations":[],"preferred":false,"id":436901,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70036481,"text":"70036481 - 2010 - Sap flux-scaled transpiration by tamarisk (Tamarix spp.) before, during and after episodic defoliation by the saltcedar leaf beetle (Diorhabda carinulata)","interactions":[],"lastModifiedDate":"2012-03-12T17:22:04","indexId":"70036481","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":681,"text":"Agricultural and Forest Meteorology","active":true,"publicationSubtype":{"id":10}},"title":"Sap flux-scaled transpiration by tamarisk (Tamarix spp.) before, during and after episodic defoliation by the saltcedar leaf beetle (Diorhabda carinulata)","docAbstract":"The release of the saltcedar beetle (Diorhabda carinulata) has resulted in the periodic defoliation of tamarisk (Tamarix spp.) along more than 1000 river km in the upper Colorado River Basin and is expected to spread along many other river reaches throughout the upper basin, and possibly into the lower Colorado River Basin. Identifying the impacts of these release programs on tamarisk water use and subsequent water cycling in arid riparian systems are largely unknown, due in part to the difficulty of measuring water fluxes in these systems. We used lab-calibrated, modified heat-dissipation sap flux sensors to monitor tamarisk water use (n=20 trees) before, during and after defoliation by the saltcedar leaf beetle during the 2008 and 2009 growing seasons (May-October) in southeastern Utah. We incorporated a simple model that related mean stem sap flux density (Js) with atmospheric vapor pressure deficit (vpd) before the onset of defoliation in 2008. The model was used to calculate differences between predicted Js and Js measured throughout the two growing seasons. Episodic defoliation resulted in a 16% reduction in mean annual rates of Js in both 2008 and 2009, with decreases occurring only during the periods in which the trees were defoliated (about 6-8 weeks per growing season). In other words, rates of Js rebounded to values predicted by the model when the trees produced new leaves after defoliation. Sap flux data were scaled to stand water use by constructing a tamarisk-specific allometric equation to relate conducting sapwood area to stem diameter, and by measuring the size distribution of stems within the stand. Total water use in both years was 0.224m, representing a reduction of about 0.04myr-1. Results showed that repeated defoliation/refoliation cycles did not result in a progressive decrease in either leaf production or water use over the duration of the study. This investigation improves ground-based estimates of tamarisk water use, and will support future efforts to characterize impacts of the beetle on basin-wide hydrologic processes. ?? 2010 Elsevier B.V.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Agricultural and Forest Meteorology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1016/j.agrformet.2010.07.009","issn":"01681923","usgsCitation":"Hultine, K.R., Nagler, P., Morino, K., Bush, S., Burtch, K., Dennison, P., Glenn, E.P., and Ehleringer, J., 2010, Sap flux-scaled transpiration by tamarisk (Tamarix spp.) before, during and after episodic defoliation by the saltcedar leaf beetle (Diorhabda carinulata): Agricultural and Forest Meteorology, v. 150, no. 11, p. 1467-1475, https://doi.org/10.1016/j.agrformet.2010.07.009.","startPage":"1467","endPage":"1475","numberOfPages":"9","costCenters":[],"links":[{"id":218265,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.agrformet.2010.07.009"},{"id":246261,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"150","issue":"11","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505b86bde4b08c986b3160de","contributors":{"authors":[{"text":"Hultine, K. R.","contributorId":102281,"corporation":false,"usgs":false,"family":"Hultine","given":"K.","middleInitial":"R.","affiliations":[],"preferred":false,"id":456352,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Nagler, P.L. 0000-0003-0674-103X","orcid":"https://orcid.org/0000-0003-0674-103X","contributorId":29937,"corporation":false,"usgs":true,"family":"Nagler","given":"P.L.","affiliations":[],"preferred":false,"id":456348,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Morino, K.","contributorId":10614,"corporation":false,"usgs":true,"family":"Morino","given":"K.","affiliations":[],"preferred":false,"id":456345,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bush, S.E.","contributorId":78567,"corporation":false,"usgs":true,"family":"Bush","given":"S.E.","email":"","affiliations":[],"preferred":false,"id":456351,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Burtch, K.G.","contributorId":18213,"corporation":false,"usgs":true,"family":"Burtch","given":"K.G.","email":"","affiliations":[],"preferred":false,"id":456346,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Dennison, P.E.","contributorId":73430,"corporation":false,"usgs":true,"family":"Dennison","given":"P.E.","email":"","affiliations":[],"preferred":false,"id":456350,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Glenn, E. P.","contributorId":24463,"corporation":false,"usgs":false,"family":"Glenn","given":"E.","middleInitial":"P.","affiliations":[],"preferred":false,"id":456347,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Ehleringer, J.R.","contributorId":47965,"corporation":false,"usgs":true,"family":"Ehleringer","given":"J.R.","email":"","affiliations":[],"preferred":false,"id":456349,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70156709,"text":"70156709 - 2010 - Estimating natural background groundwater chemistry, Questa molybdenum mine, New Mexico","interactions":[],"lastModifiedDate":"2021-10-29T14:49:01.0062","indexId":"70156709","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Estimating natural background groundwater chemistry, Questa molybdenum mine, New Mexico","docAbstract":"<p><span>This 2 1/2 day field trip will present an overview of a U.S. Geological Survey (USGS) project whose objective was to estimate pre-mining groundwater chemistry at the Questa molybdenum mine, New Mexico. Because of intense debate among stakeholders regarding pre-mining groundwater chemistry standards, the New Mexico Environment Department and Chevron Mining Inc. (formerly Molycorp) agreed that the USGS should determine pre-mining groundwater quality at the site. In 2001, the USGS began a 5-year, multidisciplinary investigation to estimate pre-mining groundwater chemistry utilizing a detailed assessment of a proximal natural analog site and applied an interdisciplinary approach to infer pre-mining conditions. The trip will include a surface tour of the Questa mine and key locations in the erosion scar areas and along the Red River. The trip will provide participants with a detailed understanding of geochemical processes that influence pre-mining environmental baselines in mineralized areas and estimation techniques for determining pre-mining baseline conditions.</span></p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Through the generations: Geologic and anthropogenic field excursions in the Rocky Mountains from modern to ancient","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Geological Society of America","publisherLocation":"Boulder, Colo.","doi":"10.1130/2010.0018(07)​","usgsCitation":"Verplanck, P.L., Nordstrom, D.K., Plumlee, G.S., and Walker, B.M., 2010, Estimating natural background groundwater chemistry, Questa molybdenum mine, New Mexico, chap. <i>of</i> Through the generations: Geologic and anthropogenic field excursions in the Rocky Mountains from modern to ancient, p. 141-161, https://doi.org/10.1130/2010.0018(07)​.","productDescription":"21 p.","startPage":"141","endPage":"161","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-021889","costCenters":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":307562,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"New Mexico","otherGeospatial":"Questa molybdenum mine","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -105.51406860351562,\n              36.697053200100335\n            ],\n            [\n              -105.51406860351562,\n              36.717971509608496\n            ],\n            [\n              -105.47492980957031,\n              36.717971509608496\n            ],\n            [\n              -105.47492980957031,\n              36.697053200100335\n            ],\n            [\n              -105.51406860351562,\n              36.697053200100335\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57fe82cce4b0824b2d1487a7","contributors":{"editors":[{"text":"Morgan, Lisa A.","contributorId":66300,"corporation":false,"usgs":true,"family":"Morgan","given":"Lisa","email":"","middleInitial":"A.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":false,"id":570208,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Quane, Steven L.","contributorId":113160,"corporation":false,"usgs":true,"family":"Quane","given":"Steven","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":570209,"contributorType":{"id":2,"text":"Editors"},"rank":2}],"authors":[{"text":"Verplanck, Phillip L. 0000-0002-3653-6419","orcid":"https://orcid.org/0000-0002-3653-6419","contributorId":62698,"corporation":false,"usgs":true,"family":"Verplanck","given":"Phillip","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":570204,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Nordstrom, D. Kirk 0000-0003-3283-5136 dkn@usgs.gov","orcid":"https://orcid.org/0000-0003-3283-5136","contributorId":749,"corporation":false,"usgs":true,"family":"Nordstrom","given":"D.","email":"dkn@usgs.gov","middleInitial":"Kirk","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":false,"id":570205,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Plumlee, Geoffrey S. 0000-0002-9607-5626 gplumlee@usgs.gov","orcid":"https://orcid.org/0000-0002-9607-5626","contributorId":960,"corporation":false,"usgs":true,"family":"Plumlee","given":"Geoffrey","email":"gplumlee@usgs.gov","middleInitial":"S.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":570206,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Walker, Bruce M.","contributorId":64684,"corporation":false,"usgs":true,"family":"Walker","given":"Bruce","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":570207,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70046732,"text":"dds49110 - 2010 - Attributes for MRB_E2RF1 Catchments by Major River Basins in the Conterminous United States: Hydrologic Landscape Regions","interactions":[],"lastModifiedDate":"2013-11-25T16:08:33","indexId":"dds49110","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":310,"text":"Data Series","code":"DS","onlineIssn":"2327-638X","printIssn":"2327-0271","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"491-10","title":"Attributes for MRB_E2RF1 Catchments by Major River Basins in the Conterminous United States: Hydrologic Landscape Regions","docAbstract":"This tabular data set represents the area of Hydrologic Landscape Regions (HLR) compiled for every MRB_E2RF1 catchment of the Major River Basins (MRBs, Crawford and others, 2006). The source data set is a 100-meter version of Hydrologic Landscape Regions of the United States (Wolock, 2003). HLR groups watersheds on the basis of similarities in land-surface form, geologic texture, and climate characteristics. The MRB_E2RF1 catchments are based on a modified version of the U.S. Environmental Protection Agency's (USEPA) ERF1_2 and include enhancements to support national and regional-scale surface-water quality modeling (Nolan and others, 2002; Brakebill and others, 2011). Data were compiled for every MRB_E2RF1 catchment for the conterminous United States covering New England and Mid-Atlantic (MRB1), South Atlantic-Gulf and Tennessee (MRB2), the Great Lakes, Ohio, Upper Mississippi, and Souris-Red-Rainy (MRB3), the Missouri (MRB4), the Lower Mississippi, Arkansas-White-Red, and Texas-Gulf (MRB5), the Rio Grande, Colorado, and the Great basin (MRB6), the Pacific Northwest (MRB7) river basins, and California (MRB8).","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/dds49110","usgsCitation":"Wieczorek, M., and LaMotte, A.E., 2010, Attributes for MRB_E2RF1 Catchments by Major River Basins in the Conterminous United States: Hydrologic Landscape Regions: U.S. Geological Survey Data Series 491-10, Dataset, https://doi.org/10.3133/dds49110.","productDescription":"Dataset","onlineOnly":"Y","additionalOnlineFiles":"N","costCenters":[],"links":[{"id":274342,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":274341,"type":{"id":16,"text":"Metadata"},"url":"https://water.usgs.gov/GIS/metadata/usgswrd/XML/mrb_e2rf1_hlr.xml"}],"country":"United States","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -127.910792,23.243486 ], [ -127.910792,51.657387 ], [ -65.327751,51.657387 ], [ -65.327751,23.243486 ], [ -127.910792,23.243486 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51d2a4e2e4b0ca18483389e7","contributors":{"authors":[{"text":"Wieczorek, Michael mewieczo@usgs.gov","contributorId":2309,"corporation":false,"usgs":true,"family":"Wieczorek","given":"Michael","email":"mewieczo@usgs.gov","affiliations":[{"id":374,"text":"Maryland Water Science Center","active":true,"usgs":true}],"preferred":false,"id":480129,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"LaMotte, Andrew E. 0000-0002-1434-6518 alamotte@usgs.gov","orcid":"https://orcid.org/0000-0002-1434-6518","contributorId":2842,"corporation":false,"usgs":true,"family":"LaMotte","given":"Andrew","email":"alamotte@usgs.gov","middleInitial":"E.","affiliations":[{"id":374,"text":"Maryland Water Science Center","active":true,"usgs":true}],"preferred":true,"id":480130,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70044268,"text":"70044268 - 2010 - Isotope reference materials","interactions":[],"lastModifiedDate":"2018-09-04T10:12:14","indexId":"70044268","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Isotope reference materials","docAbstract":"<p>Measurement of the same isotopically homogeneous sample by any laboratory worldwide should yield the same isotopic composition within analytical uncertainty. International distribution of light element isotopic reference materials by the International Atomic Energy Agency and the U.S. National Institute of Standards and Technology enable laboratories to achieve this goal.</p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"The encyclopedia of mass spectrometry","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Elsevier","publisherLocation":"Amsterdam, Netherlands","isbn":"9780080438047","usgsCitation":"Coplen, T.B., 2010, Isotope reference materials, chap. <i>of</i> The encyclopedia of mass spectrometry, v. 5, p. 774-783.","productDescription":"10 p.","startPage":"774","endPage":"783","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-013888","costCenters":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":273838,"type":{"id":15,"text":"Index Page"},"url":"https://store.elsevier.com/The-Encyclopedia-of-Mass-Spectrometry/isbn-9780080438047/"},{"id":273839,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"5","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51c02fefe4b0ee1529ed3d07","contributors":{"authors":[{"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":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true},{"id":27111,"text":"National Water Quality Program","active":true,"usgs":true},{"id":37464,"text":"WMA - Laboratory & Analytical Services Division","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":475214,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70042347,"text":"70042347 - 2010 - Caution on the use of liquid nitrogen traps in stable hydrogen isotope-ratio mass spectrometry","interactions":[],"lastModifiedDate":"2018-10-11T10:23:51","indexId":"70042347","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","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":"Caution on the use of liquid nitrogen traps in stable hydrogen isotope-ratio mass spectrometry","docAbstract":"<p>An anomalous stable hydrogen isotopic fractionation of 4 ‰ in gaseous hydrogen has been correlated with the process of adding liquid nitrogen (LN<sub>2</sub>) to top off the dewar of a stainless-steel water trap on a gaseous hydrogen-water platinum equilibration system. Although the cause of this isotopic fractionation is unknown, its effect can be mitigated by (1) increasing the capacity of any dewars so that they do not need to be filled during a daily analytic run, (2) interspersing isotopic reference waters among unknowns, and (3) applying a linear drift correction and linear normalization to isotopic results with a program such as Laboratory Information Management System (LIMS) for Light Stable Isotopes. With adoption of the above guidelines, measurement uncertainty can be substantially improved. For example, the long-term (months to years) δ<sup>2<sup>H</sup></sup> reproducibility (1&amp; sigma; standard deviation) of nine local isotopic reference waters analyzed daily improved substantially from about 1‰ to 0.58 ‰. This isotopically fractionating mechanism might affect other isotope-ratio mass spectrometers in which LN<sub>2</sub> is used as a moisture trap for gaseous hydrogen</p>","language":"English","publisher":"ACS Publications","publisherLocation":"Washington, D.C.","doi":"10.1021/ac101570f","usgsCitation":"Coplen, T.B., and Qi, H., 2010, Caution on the use of liquid nitrogen traps in stable hydrogen isotope-ratio mass spectrometry: Analytical Chemistry, v. 82, no. 18, p. 7849-7851, https://doi.org/10.1021/ac101570f.","productDescription":"3 p.","startPage":"7849","endPage":"7851","ipdsId":"IP-020415","costCenters":[{"id":146,"text":"Branch of Regional Research-Eastern Region","active":false,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":265316,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":265271,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1021/ac101570f"}],"country":"United States","volume":"82","issue":"18","noUsgsAuthors":false,"publicationDate":"2010-08-18","publicationStatus":"PW","scienceBaseUri":"50ebfc76e4b07f1501afcfcb","contributors":{"authors":[{"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":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},{"id":37464,"text":"WMA - Laboratory & Analytical Services Division","active":true,"usgs":true}],"preferred":true,"id":471357,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"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":471356,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70176183,"text":"70176183 - 2010 - Ecological distribution and population physiology defined by proteomics in a natural microbial community","interactions":[],"lastModifiedDate":"2018-10-10T14:52:20","indexId":"70176183","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5199,"text":"Molecular Systems Biology","active":true,"publicationSubtype":{"id":10}},"title":"Ecological distribution and population physiology defined by proteomics in a natural microbial community","docAbstract":"<p><span>An important challenge in microbial ecology is developing methods that simultaneously examine the physiology of organisms at the molecular level and their ecosystem level interactions in complex natural systems. We integrated extensive proteomic, geochemical, and biological information from 28 microbial communities collected from an acid mine drainage environment and representing a range of biofilm development stages and geochemical conditions to evaluate how the physiologies of the dominant and less abundant organisms change along environmental gradients. The initial colonist dominates across all environments, but its proteome changes between two stable states as communities diversify, implying that interspecies interactions affect this organism's metabolism. Its overall physiology is robust to abiotic environmental factors, but strong correlations exist between these factors and certain subsets of proteins, possibly accounting for its wide environmental distribution. Lower abundance populations are patchier in their distribution, and proteomic data indicate that their environmental niches may be constrained by specific sets of abiotic environmental factors. This research establishes an effective strategy to investigate ecological relationships between microbial physiology and the environment for whole communities </span><i>in situ</i><span>.</span></p>","language":"English","publisher":"EMBOpress","doi":"10.1038/msb.2010.30","usgsCitation":"Mueller, R.S., Denef, V.J., Kalnejais, L.H., Suttle, K.B., Thomas, B.C., Wilmes, P., Smith, R.L., Nordstrom, D.K., McCleskey, R.B., Shah, M.B., VerBekmoes, N.C., Hettich, R.L., and Banfield, J.F., 2010, Ecological distribution and population physiology defined by proteomics in a natural microbial community: Molecular Systems Biology, v. 6, no. 1, 374; 12 p., https://doi.org/10.1038/msb.2010.30.","productDescription":"374; 12 p.","ipdsId":"IP-014939","costCenters":[{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":5047,"text":"NGTOC Denver","active":true,"usgs":true}],"links":[{"id":475825,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1038/msb.2010.30","text":"Publisher Index Page"},{"id":328147,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"6","issue":"1","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2010-06-08","publicationStatus":"PW","scienceBaseUri":"57c7ffb2e4b0f2f0cebfc251","contributors":{"authors":[{"text":"Mueller, Ryan S.","contributorId":174176,"corporation":false,"usgs":false,"family":"Mueller","given":"Ryan","email":"","middleInitial":"S.","affiliations":[{"id":27377,"text":"Univ. of CA, Berkeley, CA","active":true,"usgs":false}],"preferred":false,"id":647639,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Denef, Vincent J.","contributorId":174177,"corporation":false,"usgs":false,"family":"Denef","given":"Vincent","email":"","middleInitial":"J.","affiliations":[{"id":27377,"text":"Univ. of CA, Berkeley, CA","active":true,"usgs":false}],"preferred":false,"id":647640,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kalnejais, Linda H.","contributorId":24865,"corporation":false,"usgs":true,"family":"Kalnejais","given":"Linda","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":647636,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Suttle, K. 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,{"id":70044510,"text":"70044510 - 2010 - Novel silver tubing method for quantitative introduction of water into high temperature conversion systems for stable hydrogen and oxygen isotopic measurements","interactions":[],"lastModifiedDate":"2018-10-10T09:58:07","indexId":"70044510","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3233,"text":"Rapid Communications in Mass Spectrometry","active":true,"publicationSubtype":{"id":10}},"title":"Novel silver tubing method for quantitative introduction of water into high temperature conversion systems for stable hydrogen and oxygen isotopic measurements","docAbstract":"A new method to seal water in silver tubes for use in a TC/EA reduction unit using a semi-automated sealing apparatus can yield reproducibilities (1 standard deviation) of &delta;<sup>2</sup>H and &delta<sup>18</sup>O measurements of 1.0 ‰ and 0.06 ‰, respectively. These silver tubes containing reference waters may be preferred for calibration of H- and O-bearing materials analyzed with a TC/EA reduction unit. The new sealing apparatus employs a computer controlled stepping motor to produce silver tubes identical in length. The reproducibility of mass of water sealed in tubes (in a range of 200 to 400 µg) can be as good as 1 percent. Although silver tubes sealed with reference waters are robust and can be shaken or heated to 110 °C with no loss of integrity, they should not be frozen because the expansion during the phase transition of water to ice will break the cold seals and all water will be lost. They should be shipped in insulated containers. This new method eliminates air inclusions and isotopic fractionation of water associated with the loading of water into capsules using a syringe. The method is also more than an order of magnitude faster than preparing water samples in ordinary Ag capsules. Nevertheless, some laboratories may prefer loading water into silver capsules because expensive equipment is not needed, but they are cautioned to apply the necessary corrections for evaporation, back exchange with laboratory atmospheric moisture, and blank.","language":"English","publisher":"Wiley","publisherLocation":"Hoboken, NJ","doi":"10.1002/rcm.4559","usgsCitation":"Qi, H., Groning, M., Coplen, T.B., Buck, B., Mroczkowski, S.J., Brand, W., Geilmann, H., and Gehre, M., 2010, Novel silver tubing method for quantitative introduction of water into high temperature conversion systems for stable hydrogen and oxygen isotopic measurements: Rapid Communications in Mass Spectrometry, v. 24, no. 13, p. 1821-1827, https://doi.org/10.1002/rcm.4559.","productDescription":"7 p.","startPage":"1821","endPage":"1827","numberOfPages":"7","additionalOnlineFiles":"N","ipdsId":"IP-020156","costCenters":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true},{"id":588,"text":"Toxic Hydrology Program","active":false,"usgs":true}],"links":[{"id":269701,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":269698,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1002/rcm.4559"}],"volume":"24","issue":"13","noUsgsAuthors":false,"publicationDate":"2010-06-02","publicationStatus":"PW","scienceBaseUri":"514988f2e4b0971933f6369f","contributors":{"authors":[{"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":475775,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Groning, Manfred","contributorId":47659,"corporation":false,"usgs":true,"family":"Groning","given":"Manfred","affiliations":[],"preferred":false,"id":475782,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"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":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":475776,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Buck, Bryan bbuck@usgs.gov","contributorId":2326,"corporation":false,"usgs":true,"family":"Buck","given":"Bryan","email":"bbuck@usgs.gov","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":475777,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Mroczkowski, Stanley J. 0000-0001-8026-6025 smroczko@usgs.gov","orcid":"https://orcid.org/0000-0001-8026-6025","contributorId":2628,"corporation":false,"usgs":true,"family":"Mroczkowski","given":"Stanley","email":"smroczko@usgs.gov","middleInitial":"J.","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":475778,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Brand, Willi A.","contributorId":38866,"corporation":false,"usgs":true,"family":"Brand","given":"Willi A.","affiliations":[],"preferred":false,"id":475780,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Geilmann, Heike","contributorId":41303,"corporation":false,"usgs":false,"family":"Geilmann","given":"Heike","email":"","affiliations":[{"id":13365,"text":"Max-Planck Institute for Biogeochemistry, Jena, Germany","active":true,"usgs":false}],"preferred":false,"id":475781,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Gehre, Matthias","contributorId":34004,"corporation":false,"usgs":false,"family":"Gehre","given":"Matthias","email":"","affiliations":[],"preferred":false,"id":475779,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70155134,"text":"70155134 - 2010 - Summary of groundwater-recharge estimates for Pennsylvania","interactions":[],"lastModifiedDate":"2017-05-13T16:43:11","indexId":"70155134","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":2,"text":"State or Local Government Series"},"seriesTitle":{"id":143,"text":"Water Resource Report","active":false,"publicationSubtype":{"id":2}},"seriesNumber":"70","title":"Summary of groundwater-recharge estimates for Pennsylvania","docAbstract":"<p>Groundwater recharge is water that infiltrates through the subsurface to the zone of saturation beneath the water table. Because recharge is a difficult parameter to quantify, it is typically estimated from measurements of other parameters like streamflow and precipitation. This report provides a general overview of processes affecting recharge in Pennsylvania and presents estimates of recharge rates from studies at various scales.</p><p>The most common method for estimating recharge in Pennsylvania has been to estimate base flow from measurements of streamflow and assume that base flow (expressed in inches over the basin) approximates recharge. Statewide estimates of mean annual groundwater recharge were developed by relating base flow to basin characteristics of HUC10 watersheds (a fifth-level classification that uses 10 digits to define unique hydrologic units) using a regression equation. The regression analysis indicated that mean annual precipitation, average daily maximum temperature, percent of sand in soil, percent of carbonate rock in the watershed, and average stream-channel slope were significant factors in the explaining the variability of groundwater recharge across the Commonwealth.</p><p>Several maps are included in this report to illustrate the principal factors affecting recharge and provide additional information about the spatial distribution of recharge in Pennsylvania. The maps portray the patterns of precipitation, temperature, prevailing winds across Pennsylvania’s varied physiography; illustrate the error associated with recharge estimates; and show the spatial variability of recharge as a percent of precipitation. National, statewide, regional, and local values of recharge, based on numerous studies, are compiled to allow comparison of estimates from various sources. Together these plates provide a synopsis of groundwater-recharge estimations and factors in Pennsylvania.</p><p>Areas that receive the most recharge are typically those that get the most rainfall, have favorable surface conditions for infiltration, and are less susceptible to the influences of high temperatures, and thus, evapotranspiration. Areas that have less recharge in Pennsylvania are typically those with less precipitation, less permeable soils, and higher temperatures that are conducive to greater rates of evapotranspiration.</p>","language":"English","publisher":"Pennsylvania Geological Survey","publisherLocation":"Harrisburg, PA","usgsCitation":"Reese, S.O., and Risser, D.W., 2010, Summary of groundwater-recharge estimates for Pennsylvania: Water Resource Report 70, ii, 18 p.","productDescription":"ii, 18 p.","numberOfPages":"28","ipdsId":"IP-018178","costCenters":[{"id":532,"text":"Pennsylvania Water Science Center","active":true,"usgs":true}],"links":[{"id":341278,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":305760,"type":{"id":15,"text":"Index Page"},"url":"https://www.dcnr.state.pa.us/topogeo/publications/pgspub/water/index.htm"}],"country":"United States","state":"Pennsylvania","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59181b33e4b044b359e48915","contributors":{"authors":[{"text":"Reese, Stuart O.","contributorId":145639,"corporation":false,"usgs":false,"family":"Reese","given":"Stuart","email":"","middleInitial":"O.","affiliations":[{"id":16182,"text":"Pennsylvania Geological Survey","active":true,"usgs":false}],"preferred":false,"id":564864,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Risser, Dennis W. 0000-0001-9597-5406 dwrisser@usgs.gov","orcid":"https://orcid.org/0000-0001-9597-5406","contributorId":898,"corporation":false,"usgs":true,"family":"Risser","given":"Dennis","email":"dwrisser@usgs.gov","middleInitial":"W.","affiliations":[{"id":532,"text":"Pennsylvania Water Science Center","active":true,"usgs":true}],"preferred":true,"id":564863,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70156906,"text":"70156906 - 2010 - Water-budget methods","interactions":[{"subject":{"id":70156906,"text":"70156906 - 2010 - Water-budget methods","indexId":"70156906","publicationYear":"2010","noYear":false,"chapter":"2","title":"Water-budget methods"},"predicate":"IS_PART_OF","object":{"id":70189200,"text":"70189200 - 2010 - Estimating groundwater recharge","indexId":"70189200","publicationYear":"2010","noYear":false,"title":"Estimating groundwater recharge"},"id":1}],"isPartOf":{"id":70189200,"text":"70189200 - 2010 - Estimating groundwater recharge","indexId":"70189200","publicationYear":"2010","noYear":false,"title":"Estimating groundwater recharge"},"lastModifiedDate":"2021-04-26T17:34:23.507642","indexId":"70156906","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"chapter":"2","title":"Water-budget methods","docAbstract":"<p>A water budget is an accounting of water movement into and out of, and storage change within, some control volume. <span class=\"italic\">Universal</span> and <span class=\"italic\">adaptable</span> are adjectives that reflect key features of water-budget methods for estimating recharge. The universal concept of mass conservation of water implies that water-budget methods are applicable over any space and time scales (Healy <span class=\"italic\">et al</span>., 2007). The water budget of a soil column in a laboratory can be studied at scales of millimeters and seconds. A water-budget equation is also an integral component of atmospheric general circulation models used to predict global climates over periods of decades or more. Water-budget equations can be easily customized by adding or removing terms to accurately portray the peculiarities of any hydrologic system. The equations are generally not bound by assumptions on mechanisms by which water moves into, through, and out of the control volume of interest. So water-budget methods can be used to estimate both diffuse and focused recharge, and recharge estimates are unaffected by phenomena such as preferential flow paths within the unsaturated zone.</p><p>Water-budget methods represent the largest class of techniques for estimating recharge. Most hydrologic models are derived from a water-budget equation and can therefore be classified as water-budget models. It is not feasible to address all water-budget methods in a single chapter. This chapter is limited to discussion of the “residual” water-budget approach, whereby all variables in a water-budget equation, except for recharge, are independently measured or estimated and recharge is set equal to the residual. This chapter is closely linked with Chapter 3, on modeling methods, because the equations presented here form the basis of many models and because models are often used to estimate individual components in water-budget studies. Water budgets for streams and other surface-water bodies are addressed in Chapter 4. The use of soil-water budgets and lysimeters for determining potential recharge and evapotranspiration from changes in water storage is discussed in Chapter 5. Aquifer water-budget methods based on the measurement of groundwater levels are described in Chapter 6.</p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Estimating groundwater recharge","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Cambridge University Press","doi":"10.1017/CBO9780511780745.003","isbn":"9780511780745","usgsCitation":"Healy, R.W., 2010, Water-budget methods, chap. 2 <i>of</i> Estimating groundwater recharge, p. 15-42, https://doi.org/10.1017/CBO9780511780745.003.","productDescription":"28 p.","startPage":"15","endPage":"42","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-008545","costCenters":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"links":[{"id":307797,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"560bb71ee4b058f706e53f9e","contributors":{"authors":[{"text":"Healy, Richard W. 0000-0002-0224-1858 rwhealy@usgs.gov","orcid":"https://orcid.org/0000-0002-0224-1858","contributorId":658,"corporation":false,"usgs":true,"family":"Healy","given":"Richard","email":"rwhealy@usgs.gov","middleInitial":"W.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":571087,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70146201,"text":"70146201 - 2010 - Predictive modeling of transient storage and nutrient uptake: Implications for stream restoration","interactions":[],"lastModifiedDate":"2018-10-09T10:30:51","indexId":"70146201","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2338,"text":"Journal of Hydraulic Engineering","active":true,"publicationSubtype":{"id":10}},"title":"Predictive modeling of transient storage and nutrient uptake: Implications for stream restoration","docAbstract":"<p><span>This study examined two key aspects of reactive transport modeling for stream restoration purposes: the accuracy of the nutrient spiraling and transient storage models for quantifying reach-scale nutrient uptake, and the ability to quantify transport parameters using measurements and scaling techniques in order to improve upon traditional conservative tracer fitting methods. Nitrate (NO</span><sub>3</sub><sup>&ndash;</sup><span>) uptake rates inferred using the nutrient spiraling model underestimated the total NO</span><sub>3</sub><sup>&ndash;</sup><span>&nbsp;mass loss by 82%, which was attributed to the exclusion of dispersion and transient storage. The transient storage model was more accurate with respect to the NO</span><sub>3</sub><sup>&ndash;</sup><span>&nbsp;mass loss (&plusmn;20%) and also demonstrated that uptake in the main channel was more significant than in storage zones. Conservative tracer fitting was unable to produce transport parameter estimates for a riffle-pool transition of the study reach, while forward modeling of solute transport using measured/scaled transport parameters matched conservative tracer breakthrough curves for all reaches. Additionally, solute exchange between the main channel and embayment surface storage zones was quantified using first-order theory. These results demonstrate that it is vital to account for transient storage in quantifying nutrient uptake, and the continued development of measurement/scaling techniques is needed for reactive transport modeling of streams with complex hydraulic and geomorphic conditions.</span></p>","language":"English","publisher":"American Society of Civil Engineers","doi":"10.1061/(ASCE)HY.1943-7900.0000180","usgsCitation":"O’Connor, B.L., Hondzo, M., and Harvey, J.W., 2010, Predictive modeling of transient storage and nutrient uptake: Implications for stream restoration: Journal of Hydraulic Engineering, v. 136, no. 12, p. 1018-1032, https://doi.org/10.1061/(ASCE)HY.1943-7900.0000180.","productDescription":"15 p.","startPage":"1018","endPage":"1032","numberOfPages":"15","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-014947","costCenters":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":299657,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Angelo Coast Range Reserve, Elder Creek","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -123.61202716827393,\n              39.71976445680303\n            ],\n            [\n              -123.61108303070067,\n              39.72002853300599\n            ],\n            [\n              -123.61168384552002,\n              39.720952791753206\n            ],\n            [\n              -123.61322879791258,\n              39.721513942806254\n            ],\n            [\n              -123.6144733428955,\n              39.72293330449948\n            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,{"id":70043460,"text":"70043460 - 2010 - Mortality of centrarchid fishes in the Potomac drainage: Survey results and overview of potential contributing factors","interactions":[],"lastModifiedDate":"2018-10-12T09:43:15","indexId":"70043460","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2177,"text":"Journal of Aquatic Animal Health","active":true,"publicationSubtype":{"id":10}},"title":"Mortality of centrarchid fishes in the Potomac drainage: Survey results and overview of potential contributing factors","docAbstract":"Skin lesions and spring mortality events of smallmouth bass <i>Micropterus dolomieu</i> and selected other species were first noted in the South Branch of the Potomac River in 2002. Since that year morbidity and mortality have also been observed in the Shenandoah and Monocacy rivers. Despite much research, no single pathogen, parasite, or chemical cause for the lesions and mortality has been identified. Numerous parasites, most commonly trematode metacercariae and myxozoans; the bacterial pathogens <i>Aeromonas hydrophila</i>, <i>Aeromonas salmonicida</i>, and <i>Flavobacterium columnare</i>; and largemouth bass virus have all been observed. None have been consistently isolated or observed at all sites, however, nor has any consistent microscopic pathology of the lesions been observed. A variety of histological changes associated with exposure to environmental contaminants or stressors, including intersex (testicular oocytes), high numbers of macrophage aggregates, oxidative damage, gill lesions, and epidermal papillomas, were observed. The findings indicate that selected sensitive species may be stressed by multiple factors and constantly close to the threshold between a sustainable (healthy) and nonsustainable (unhealthy) condition. Fish health is often used as an indicator of aquatic ecosystem health, and these findings raise concerns about environmental degradation within the Potomac River drainage. Unfortunately, while much information has been gained from the studies conducted to date, due to the multiple state jurisdictions involved, competing interests, and other issues, there has been no coordinated approach to identifying and mitigating the stressors. This synthesis emphasizes the need for multiyear, interdisciplinary, integrative research to identify the underlying stressors and possible management actions to enhance ecosystem health.","language":"English","publisher":"Francis & Taylor","publisherLocation":"London, UK","doi":"10.1577/H10-002.1","usgsCitation":"Blazer, V., Iwanowicz, L., Starliper, C.E., Zaugg, S.D., Burkhardt, M.R., Barbash, P., Hedrick, J., Reeser, S., Mullican, J., and Kelble, J., 2010, Mortality of centrarchid fishes in the Potomac drainage: Survey results and overview of potential contributing factors: Journal of Aquatic Animal Health, v. 22, no. 3, p. 190-218, https://doi.org/10.1577/H10-002.1.","productDescription":"29 p.","startPage":"190","endPage":"218","numberOfPages":"29","additionalOnlineFiles":"N","ipdsId":"IP-018537","costCenters":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":268754,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1577/H10-002.1"},{"id":268759,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Maryland, Pennsylvania, Virginia, West Virginia","otherGeospatial":"Potomac River","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -79.2114,37.9962 ], [ -79.2114,40.0949 ], [ -76.5582,40.0949 ], [ -76.5582,37.9962 ], [ -79.2114,37.9962 ] ] ] } } ] }","volume":"22","issue":"3","noUsgsAuthors":false,"publicationDate":"2010-09-01","publicationStatus":"PW","scienceBaseUri":"51372209e4b02ab8869bfff9","contributors":{"authors":[{"text":"Blazer, Vicki 0000-0001-6647-9614 vblazer@usgs.gov","orcid":"https://orcid.org/0000-0001-6647-9614","contributorId":792,"corporation":false,"usgs":true,"family":"Blazer","given":"Vicki","email":"vblazer@usgs.gov","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":false,"id":473636,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Iwanowicz, Luke R. liwanowicz@usgs.gov","contributorId":386,"corporation":false,"usgs":true,"family":"Iwanowicz","given":"Luke R.","email":"liwanowicz@usgs.gov","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":false,"id":473634,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Starliper, Clifford E. cstarliper@usgs.gov","contributorId":1948,"corporation":false,"usgs":true,"family":"Starliper","given":"Clifford","email":"cstarliper@usgs.gov","middleInitial":"E.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":473637,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Zaugg, Steven D. sdzaugg@usgs.gov","contributorId":768,"corporation":false,"usgs":true,"family":"Zaugg","given":"Steven","email":"sdzaugg@usgs.gov","middleInitial":"D.","affiliations":[],"preferred":true,"id":473635,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Burkhardt, Mark R.","contributorId":27872,"corporation":false,"usgs":true,"family":"Burkhardt","given":"Mark","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":473641,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Barbash, P.","contributorId":26942,"corporation":false,"usgs":true,"family":"Barbash","given":"P.","email":"","affiliations":[],"preferred":false,"id":473640,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Hedrick, J.D.","contributorId":105511,"corporation":false,"usgs":true,"family":"Hedrick","given":"J.D.","email":"","affiliations":[],"preferred":false,"id":473643,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Reeser, S.J.","contributorId":9460,"corporation":false,"usgs":true,"family":"Reeser","given":"S.J.","email":"","affiliations":[],"preferred":false,"id":473638,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Mullican, J.E.","contributorId":17443,"corporation":false,"usgs":true,"family":"Mullican","given":"J.E.","email":"","affiliations":[],"preferred":false,"id":473639,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Kelble, J.","contributorId":104785,"corporation":false,"usgs":true,"family":"Kelble","given":"J.","email":"","affiliations":[],"preferred":false,"id":473642,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}}
,{"id":70146187,"text":"70146187 - 2010 - Three-dimensional benchmark for variable-density flow and transport simulation: matching semi-analytic stability modes for steady unstable convection in an inclined porous box","interactions":[],"lastModifiedDate":"2018-10-09T10:52:46","indexId":"70146187","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1923,"text":"Hydrogeology Journal","active":true,"publicationSubtype":{"id":10}},"title":"Three-dimensional benchmark for variable-density flow and transport simulation: matching semi-analytic stability modes for steady unstable convection in an inclined porous box","docAbstract":"<p><span>This benchmark for three-dimensional (3D) numerical simulators of variable-density groundwater flow and solute or energy transport consists of matching simulation results with the semi-analytical solution for the transition from one steady-state convective mode to another in a porous box. Previous experimental and analytical studies of natural convective flow in an inclined porous layer have shown that there are a variety of convective modes possible depending on system parameters, geometry and inclination. In particular, there is a well-defined transition from the helicoidal mode consisting of downslope longitudinal rolls superimposed upon an upslope unicellular roll to a mode consisting of purely an upslope unicellular roll. Three-dimensional benchmarks for variable-density simulators are currently (2009) lacking and comparison of simulation results with this transition locus provides an unambiguous means to test the ability of such simulators to represent steady-state unstable 3D variable-density physics.</span></p>","language":"English","publisher":"Springer","doi":"10.1007/s10040-009-0556-6","usgsCitation":"Voss, C.I., Simmons, C.T., and Robinson, N.I., 2010, Three-dimensional benchmark for variable-density flow and transport simulation: matching semi-analytic stability modes for steady unstable convection in an inclined porous box: Hydrogeology Journal, v. 18, no. 1, p. 5-23, https://doi.org/10.1007/s10040-009-0556-6.","productDescription":"19 p.","startPage":"5","endPage":"23","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-015037","costCenters":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":299647,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"18","issue":"1","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2009-12-10","publicationStatus":"PW","scienceBaseUri":"552e3a30e4b0b22a157fa0af","contributors":{"authors":[{"text":"Voss, Clifford I. 0000-0001-5923-2752 cvoss@usgs.gov","orcid":"https://orcid.org/0000-0001-5923-2752","contributorId":1559,"corporation":false,"usgs":true,"family":"Voss","given":"Clifford","email":"cvoss@usgs.gov","middleInitial":"I.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":544735,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Simmons, Craig T.","contributorId":71889,"corporation":false,"usgs":false,"family":"Simmons","given":"Craig","email":"","middleInitial":"T.","affiliations":[{"id":13412,"text":"Flinders University, Australia","active":true,"usgs":false}],"preferred":false,"id":544736,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Robinson, Neville I.","contributorId":140205,"corporation":false,"usgs":false,"family":"Robinson","given":"Neville","email":"","middleInitial":"I.","affiliations":[{"id":13412,"text":"Flinders University, Australia","active":true,"usgs":false}],"preferred":false,"id":544737,"contributorType":{"id":1,"text":"Authors"},"rank":12}]}}
,{"id":70046763,"text":"dds49126 - 2010 - Attributes for MRB_E2RF1 Catchments by Major River Basins in the Conterminous United States: STATSGO Soil Characteristics","interactions":[],"lastModifiedDate":"2013-11-25T16:06:02","indexId":"dds49126","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":310,"text":"Data Series","code":"DS","onlineIssn":"2327-638X","printIssn":"2327-0271","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"491-26","title":"Attributes for MRB_E2RF1 Catchments by Major River Basins in the Conterminous United States: STATSGO Soil Characteristics","docAbstract":"This tabular data set represents estimated soil variables compiled for every MRB_E2RF1 catchment of selected Major River Basins (MRBs, Crawford and others, 2006). The variables included are cation exchange capacity, percent calcium carbonate, slope, water-table depth, soil thickness, hydrologic soil group, soil erodibility (k-factor), permeability, average water capacity, bulk density, percent organic material, percent clay, percent sand, and percent silt. The source data set is the State Soil ( STATSGO ) Geographic Database (Wolock, 1997). The MRB_E2RF1 catchments are based on a modified version of the U.S. Environmental Protection Agency's (USEPA) ERF1_2 and include enhancements to support national and regional-scale surface-water quality modeling (Nolan and others, 2002; Brakebill and others, 2011). Data were compiled for every MRB_E2RF1 catchment for the conterminous United States covering New England and Mid-Atlantic (MRB1), South Atlantic-Gulf and Tennessee (MRB2), the Great Lakes, Ohio, Upper Mississippi, and Souris-Red-Rainy (MRB3), the Missouri (MRB4), the Lower Mississippi, Arkansas-White-Red, and Texas-Gulf (MRB5), the Rio Grande, Colorado, and the Great basin (MRB6), the Pacific Northwest (MRB7) river basins, and California (MRB8).","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/dds49126","usgsCitation":"Wieczorek, M., and LaMotte, A.E., 2010, Attributes for MRB_E2RF1 Catchments by Major River Basins in the Conterminous United States: STATSGO Soil Characteristics: U.S. Geological Survey Data Series 491-26, Dataset, https://doi.org/10.3133/dds49126.","productDescription":"Dataset","onlineOnly":"Y","additionalOnlineFiles":"N","costCenters":[],"links":[{"id":274429,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":274427,"type":{"id":16,"text":"Metadata"},"url":"https://water.usgs.gov/GIS/metadata/usgswrd/XML/mrb_e2rf1_statsgo.xml"}],"country":"United States","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -127.910792,23.243486 ], [ -127.910792,51.657387 ], [ -65.327751,51.657387 ], [ -65.327751,23.243486 ], [ -127.910792,23.243486 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51d3f663e4b09630fbdc527d","contributors":{"authors":[{"text":"Wieczorek, Michael mewieczo@usgs.gov","contributorId":2309,"corporation":false,"usgs":true,"family":"Wieczorek","given":"Michael","email":"mewieczo@usgs.gov","affiliations":[{"id":374,"text":"Maryland Water Science Center","active":true,"usgs":true}],"preferred":false,"id":480183,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"LaMotte, Andrew E. 0000-0002-1434-6518 alamotte@usgs.gov","orcid":"https://orcid.org/0000-0002-1434-6518","contributorId":2842,"corporation":false,"usgs":true,"family":"LaMotte","given":"Andrew","email":"alamotte@usgs.gov","middleInitial":"E.","affiliations":[{"id":374,"text":"Maryland Water Science Center","active":true,"usgs":true}],"preferred":true,"id":480184,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70272978,"text":"70272978 - 2010 - Tamarisk biocontrol in the western United States: Ecological and societal implications","interactions":[],"lastModifiedDate":"2025-12-11T16:40:15.857219","indexId":"70272978","displayToPublicDate":"2009-11-04T10:31:08","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1701,"text":"Frontiers in Ecology and the Environment","active":true,"publicationSubtype":{"id":10}},"title":"Tamarisk biocontrol in the western United States: Ecological and societal implications","docAbstract":"<p><span>Tamarisk species (genus Tamarix), also commonly known as saltcedar, are among the most successful plant invaders in the western United States. At the same time, tamarisk has been cited as having enormous economic costs. Accordingly, local, state, and federal agencies have undertaken considerable efforts to eradicate this invasive plant and restore riparian habitats to pre-invasion status. Traditional eradication methods, including herbicide treatments, are now considered undesirable, because they are costly and often have unintended negative impacts on native species. A new biological control agent, the saltcedar leaf beetle (Diorhabda elongata), has been released along many watersheds in the western US, to reduce the extent of tamarisk cover in riparian areas. However, the use of this insect as a biological control agent may have unintended ecological, hydrological, and socioeconomic consequences that need to be anticipated by land managers and stakeholders undertaking restoration efforts. Here, we examine the possible ramifications of tamarisk control and offer recommendations to reduce potential negative impacts on valued riparian systems in the western US.</span></p>","language":"English","publisher":"Ecological Society of America","doi":"10.1890/090031","usgsCitation":"Hultine, K., Belnap, J., van Riper, C., Ehleringer, J.R., Dennison, P.E., Lee, M.E., Nagler, P., Snyder, K.A., Uselman, S.M., and West, J.B., 2010, Tamarisk biocontrol in the western United States: Ecological and societal implications: Frontiers in Ecology and the Environment, v. 8, no. 9, p. 467-474, https://doi.org/10.1890/090031.","productDescription":"8 p.","startPage":"467","endPage":"474","ipdsId":"IP-011143","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":497330,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","volume":"8","issue":"9","noUsgsAuthors":false,"publicationDate":"2009-11-04","publicationStatus":"PW","contributors":{"authors":[{"text":"Hultine, Kevin","contributorId":363779,"corporation":false,"usgs":false,"family":"Hultine","given":"Kevin","affiliations":[{"id":86735,"text":"Department of Biology, U of Utah","active":true,"usgs":false}],"preferred":false,"id":951968,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Belnap, Jayne","contributorId":363776,"corporation":false,"usgs":true,"family":"Belnap","given":"Jayne","affiliations":[],"preferred":true,"id":951965,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"van Riper, Charles III 0000-0003-1084-5843 charles_van_riper@usgs.gov","orcid":"https://orcid.org/0000-0003-1084-5843","contributorId":169488,"corporation":false,"usgs":true,"family":"van Riper","given":"Charles","suffix":"III","email":"charles_van_riper@usgs.gov","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":false,"id":951967,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ehleringer, James R","contributorId":363780,"corporation":false,"usgs":false,"family":"Ehleringer","given":"James","middleInitial":"R","affiliations":[{"id":86735,"text":"Department of Biology, U of Utah","active":true,"usgs":false}],"preferred":false,"id":951969,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Dennison, Philip E.","contributorId":363781,"corporation":false,"usgs":false,"family":"Dennison","given":"Philip","middleInitial":"E.","affiliations":[{"id":86736,"text":"Dept.of Geolgraphy, U of Utah","active":true,"usgs":false}],"preferred":false,"id":951970,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Lee, Martha E.","contributorId":363782,"corporation":false,"usgs":false,"family":"Lee","given":"Martha","middleInitial":"E.","affiliations":[{"id":86737,"text":"School of Forestry, NAU","active":true,"usgs":false}],"preferred":false,"id":951971,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Nagler, Pamela L. 0000-0003-0674-103X","orcid":"https://orcid.org/0000-0003-0674-103X","contributorId":363777,"corporation":false,"usgs":true,"family":"Nagler","given":"Pamela","middleInitial":"L.","affiliations":[],"preferred":true,"id":951966,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Snyder, Keirith A.","contributorId":363783,"corporation":false,"usgs":false,"family":"Snyder","given":"Keirith","middleInitial":"A.","affiliations":[{"id":86738,"text":"USDA, Ag Research","active":true,"usgs":false}],"preferred":false,"id":951972,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Uselman, Shauna M.","contributorId":261618,"corporation":false,"usgs":false,"family":"Uselman","given":"Shauna","email":"","middleInitial":"M.","affiliations":[{"id":52928,"text":"Department of Natural Resources and Environmental Science, University of Nevada, Reno, NV, USA","active":true,"usgs":false}],"preferred":false,"id":951985,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"West, Jason B.","contributorId":221019,"corporation":false,"usgs":false,"family":"West","given":"Jason","email":"","middleInitial":"B.","affiliations":[{"id":6747,"text":"Texas A&M University","active":true,"usgs":false}],"preferred":false,"id":951986,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}}
,{"id":70200499,"text":"70200499 - 2010 - Mercury contamination in three species of anuran amphibians from the Cache Creek watershed, California, USA","interactions":[],"lastModifiedDate":"2018-10-22T10:40:20","indexId":"70200499","displayToPublicDate":"2009-04-08T09:58:07","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1552,"text":"Environmental Monitoring and Assessment","onlineIssn":"1573-2959","printIssn":"0167-6369","active":true,"publicationSubtype":{"id":10}},"title":"Mercury contamination in three species of anuran amphibians from the Cache Creek watershed, California, USA","docAbstract":"<p><span>Fish and wildlife may bioaccumulate mercury (Hg) to levels that adversely affect reproduction, growth, and survival. Sources of Hg within the Cache Creek Watershed in northern California have been identified, and concentrations of Hg in invertebrates and fish have been documented. However, bioaccumulation of Hg by amphibians has not been evaluated. In this study, adult and juvenile American bullfrogs (</span><i class=\"EmphasisTypeItalic \">Lithobates catesbeianus</i><span>) and foothill yellow-legged frogs (</span><i class=\"EmphasisTypeItalic \">Rana boylii</i><span>), adult Northern Pacific treefrogs (</span><i class=\"EmphasisTypeItalic \">Pseudacris regilla</i><span>), and larval bullfrogs were collected and analyzed for total Hg. One or more species of amphibians from 40% of the 35 sites had mean Hg concentrations greater than the US Environmental Protection Agency’s tissue residue criterion for fish (0.3&nbsp;μg/g). Of the bullfrog tissues analyzed, the liver had the highest concentrations of both total Hg and methyl mercury. Total Hg in carcasses of bullfrogs was highly correlated with total Hg in leg muscle, the tissue most often consumed by humans.</span></p>","language":"English","publisher":"Springer","doi":"10.1007/s10661-009-0847-3","usgsCitation":"Hothem, R.L., Jennings, M.R., and Crayon, J.J., 2010, Mercury contamination in three species of anuran amphibians from the Cache Creek watershed, California, USA: Environmental Monitoring and Assessment, v. 163, no. 1-4, p. 433-448, https://doi.org/10.1007/s10661-009-0847-3.","productDescription":"16 p.","startPage":"433","endPage":"448","costCenters":[{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true},{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":358611,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Cache Creek Watershed","volume":"163","issue":"1-4","noUsgsAuthors":false,"publicationDate":"2009-04-08","publicationStatus":"PW","scienceBaseUri":"5c10c9bde4b034bf6a7f72a0","contributors":{"authors":[{"text":"Hothem, Roger L. roger_hothem@usgs.gov","contributorId":1721,"corporation":false,"usgs":true,"family":"Hothem","given":"Roger","email":"roger_hothem@usgs.gov","middleInitial":"L.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":749176,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jennings, Mark R.","contributorId":31345,"corporation":false,"usgs":true,"family":"Jennings","given":"Mark","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":749177,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Crayon, John J.","contributorId":174935,"corporation":false,"usgs":false,"family":"Crayon","given":"John","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":749178,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70171013,"text":"70171013 - 2010 - Monitoring and characterizing natural hazards with satellite InSAR imagery","interactions":[],"lastModifiedDate":"2021-01-08T16:39:36.991136","indexId":"70171013","displayToPublicDate":"2008-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5089,"text":"Annals of GIS","active":true,"publicationSubtype":{"id":10}},"title":"Monitoring and characterizing natural hazards with satellite InSAR imagery","docAbstract":"<p><span>Interferometric synthetic aperture radar (InSAR) provides an all-weather imaging capability for measuring ground-surface deformation and inferring changes in land surface characteristics. InSAR enables scientists to monitor and characterize hazards posed by volcanic, seismic, and hydrogeologic processes, by landslides and wildfires, and by human activities such as mining and fluid extraction or injection. Measuring how a volcano's surface deforms before, during, and after eruptions provides essential information about magma dynamics and a basis for mitigating volcanic hazards. Measuring spatial and temporal patterns of surface deformation in seismically active regions is extraordinarily useful for understanding rupture dynamics and estimating seismic risks. Measuring how landslides develop and activate is a prerequisite to minimizing associated hazards. Mapping surface subsidence or uplift related to extraction or injection of fluids during exploitation of groundwater aquifers or petroleum reservoirs provides fundamental data on aquifer or reservoir properties and improves our ability to mitigate undesired consequences. Monitoring dynamic water-level changes in wetlands improves hydrological modeling predictions and the assessment of future flood impacts. In addition, InSAR imagery can provide near-real-time estimates of fire scar extents and fire severity for wildfire management and control. All-weather satellite radar imagery is critical for studying various natural processes and is playing an increasingly important role in understanding and forecasting natural hazards.</span></p>","language":"English","publisher":"Taylor & Francis","doi":"10.1080/19475681003700914","usgsCitation":"Lu, Z., Zhang, J., Zhang, Y., and Dzurisin, D., 2010, Monitoring and characterizing natural hazards with satellite InSAR imagery: Annals of GIS, v. 16, no. 1, p. 55-66, https://doi.org/10.1080/19475681003700914.","productDescription":"12 p.","startPage":"55","endPage":"66","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true},{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true}],"links":[{"id":488987,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1080/19475681003700914","text":"Publisher Index Page"},{"id":382027,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"16","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"576913dae4b07657d19ff1b6","contributors":{"authors":[{"text":"Lu, Zhong 0000-0001-9181-1818 lu@usgs.gov","orcid":"https://orcid.org/0000-0001-9181-1818","contributorId":901,"corporation":false,"usgs":true,"family":"Lu","given":"Zhong","email":"lu@usgs.gov","affiliations":[],"preferred":true,"id":629537,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Zhang, Jixian","contributorId":36396,"corporation":false,"usgs":true,"family":"Zhang","given":"Jixian","affiliations":[],"preferred":false,"id":629538,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Zhang, Yonghong","contributorId":82563,"corporation":false,"usgs":true,"family":"Zhang","given":"Yonghong","email":"","affiliations":[],"preferred":false,"id":629539,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Dzurisin, Daniel 0000-0002-0138-5067 dzurisin@usgs.gov","orcid":"https://orcid.org/0000-0002-0138-5067","contributorId":538,"corporation":false,"usgs":true,"family":"Dzurisin","given":"Daniel","email":"dzurisin@usgs.gov","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":629540,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70007521,"text":"70007521 - 2009 - Contributions of nitrogen to the Barnegat Bay-Little Egg Harbor Estuary: Updated loading estimates","interactions":[],"lastModifiedDate":"2016-04-25T14:32:31","indexId":"70007521","displayToPublicDate":"2015-07-14T13:00:00","publicationYear":"2009","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":4,"text":"Other Government Series"},"title":"Contributions of nitrogen to the Barnegat Bay-Little Egg Harbor Estuary: Updated loading estimates","docAbstract":"<p>Based on the most recent and most accurate data available through 2008, the total load of nitrogen to the Barnegat Bay‐Little Egg Harbor (BB‐LEH) estuary from the most substantial sources (surface water, including surface‐water discharge and direct storm runoff; ground‐water discharge; and atmospheric deposition) is estimated to be 650,000 kilograms of nitrogen per year (kg N/yr). Surface water contributes 66 percent (431,000 kg N/yr), direct ground‐ water discharge accounts for 12 percent (78,000 kg N/yr), and atmospheric deposition accounts for 22 percent (141,000 kg N/yr). This new loading estimate was compared to a previously published estimate produced by using similar methodology but less current data through 1997. Findings of the present study include a substantially lower estimate of atmospheric deposition of nitrogen to the estuary compared to the previous estimate. The study results also offer further support of the relation between land use and nitrogen levels, and indicate that the Toms and Metedeconk River basins account for more than 60 percent of the nitrogen load to the estuary from surface‐water discharge. Differences between the two estimates can be attributed to both the use of more accurate and more recent data in the revised estimate, and actual changes in the magnitude of nitrogen loads from various sources. Gaps in available water‐quality and hydrologic data are documented, and additional analysis and monitoring that may improve the reliability of future nitrogen loading estimates are presented.</p>","largerWorkTitle":"Barnegat Bay Partnership State of the Bay Technical Report","language":"English","publisher":"U.S. Geological Survey","collaboration":"Prepared in cooperation with the Barnegat Bay National Estuary Program","usgsCitation":"Wieben, C.M., and Baker, R.J., 2009, Contributions of nitrogen to the Barnegat Bay-Little Egg Harbor Estuary: Updated loading estimates, 25 p.","productDescription":"25 p.","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-017449","costCenters":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"links":[{"id":320532,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":320531,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://bbp.ocean.edu/pages/184.asp"}],"country":"United States","state":"New Jersey","otherGeospatial":"Barnegat Bay‐Little Egg Harbor estuary","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -74.014892578125,\n              40.14318974292438\n            ],\n            [\n              -74.04510498046875,\n              40.03392360399664\n            ],\n            [\n              -74.07257080078125,\n              39.87812720644829\n            ],\n            [\n              -74.0863037109375,\n              39.74521015328692\n            ],\n            [\n              -74.15496826171874,\n              39.65011210186371\n            ],\n            [\n              -74.22088623046875,\n              39.5633531658293\n            ],\n            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-74.0643310546875,\n              40.176774799905445\n            ],\n            [\n              -74.014892578125,\n              40.14318974292438\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"571f3fb3e4b071321fe56a10","contributors":{"authors":[{"text":"Wieben, Christine M. 0000-0001-5825-5119 cwieben@usgs.gov","orcid":"https://orcid.org/0000-0001-5825-5119","contributorId":4270,"corporation":false,"usgs":true,"family":"Wieben","given":"Christine","email":"cwieben@usgs.gov","middleInitial":"M.","affiliations":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"preferred":true,"id":626208,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Baker, Ronald J. rbaker@usgs.gov","contributorId":1436,"corporation":false,"usgs":true,"family":"Baker","given":"Ronald","email":"rbaker@usgs.gov","middleInitial":"J.","affiliations":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"preferred":true,"id":626209,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70004127,"text":"70004127 - 2009 - Responses of stream nitrate and dissolved organic carbon loadings to hydrological forcing and climate change in an upland forest of the northeast USA","interactions":[],"lastModifiedDate":"2015-11-16T14:43:54","indexId":"70004127","displayToPublicDate":"2015-06-08T09:00:00","publicationYear":"2009","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2312,"text":"Journal of Geophysical Research","active":true,"publicationSubtype":{"id":10}},"title":"Responses of stream nitrate and dissolved organic carbon loadings to hydrological forcing and climate change in an upland forest of the northeast USA","docAbstract":"<p>[1] In coming decades, higher annual temperatures, increased growing season length, and increased dormant season precipitation are expected across the northeastern United States in response to anthropogenic forcing of global climate. We synthesized long-term stream hydrochemical data from the Sleepers River Research Watershed in Vermont, United States, to explore the relationship of catchment wetness to stream nitrate and DOC loadings. We modeled changes in growing season length and precipitation patterns to simulate future climate scenarios and to assess how stream nutrient loadings respond to climate change. Model results for the 2070&ndash;2099 time period suggest that stream nutrient loadings during both the dormant and growing seasons will respond to climate change. During a warmer climate, growing season stream fluxes (runoff +20%, nitrate +57%, and DOC +58%) increase as more precipitation (+28%) and quick flow (+39%) occur during a longer growing season (+43 days). During the dormant season, stream water and nutrient loadings decrease. Net annual stream runoff (+8%) and DOC loading (+9%) increases are commensurate with the magnitude of the average increase of net annual precipitation (+7%). Net annual stream water and DOC loadings are primarily affected by increased dormant season precipitation. In contrast, decreased annual loading of stream nitrate (&minus;2%) reflects a larger effect of growing season controls on stream nitrate and the effects of lengthened growing seasons in a warmer climate. Our findings suggest that leaching of nitrate and DOC from catchment soils will be affected by anthropogenic climate forcing, thereby affecting the timing and magnitude of annual stream loadings in the northeastern United States.</p>","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2008JG000778","usgsCitation":"Sebestyen, S.D., Boyer, E.W., and Shanley, J.B., 2009, Responses of stream nitrate and dissolved organic carbon loadings to hydrological forcing and climate change in an upland forest of the northeast USA: Journal of Geophysical Research, v. 114, no. G2, 11 p., https://doi.org/10.1029/2008JG000778.","productDescription":"11 p.","numberOfPages":"11","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-006854","costCenters":[],"links":[{"id":475963,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2008jg000778","text":"Publisher Index Page"},{"id":311383,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":311382,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://onlinelibrary.wiley.com/doi/10.1029/2008JG000778/abstract"}],"country":"United States","state":"Vermont","otherGeospatial":"Sleepers River","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -71.8890380859375,\n              44.10139306449849\n            ],\n            [\n              -71.8890380859375,\n              44.896741421341964\n            ],\n            [\n              -71.0101318359375,\n              44.896741421341964\n            ],\n            [\n              -71.0101318359375,\n              44.10139306449849\n            ],\n            [\n              -71.8890380859375,\n              44.10139306449849\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"114","issue":"G2","noUsgsAuthors":false,"publicationDate":"2009-04-07","publicationStatus":"PW","scienceBaseUri":"564b0c5be4b0ebfbef0d3183","contributors":{"authors":[{"text":"Sebestyen, Stephen D.","contributorId":107562,"corporation":false,"usgs":true,"family":"Sebestyen","given":"Stephen","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":579889,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Boyer, Elizabeth W.","contributorId":44659,"corporation":false,"usgs":false,"family":"Boyer","given":"Elizabeth","email":"","middleInitial":"W.","affiliations":[{"id":7260,"text":"Pennsylvania State University","active":true,"usgs":false}],"preferred":false,"id":579890,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Shanley, James B. 0000-0002-4234-3437 jshanley@usgs.gov","orcid":"https://orcid.org/0000-0002-4234-3437","contributorId":1953,"corporation":false,"usgs":true,"family":"Shanley","given":"James","email":"jshanley@usgs.gov","middleInitial":"B.","affiliations":[{"id":405,"text":"NH/VT office of New England Water Science Center","active":true,"usgs":true},{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":579891,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70046837,"text":"70046837 - 2009 - Climate and hydrological changes in the northeastern United States: recent trends and implications for forested and aquatic ecosystems","interactions":[],"lastModifiedDate":"2022-11-22T23:03:45.826356","indexId":"70046837","displayToPublicDate":"2013-01-01T11:25:00","publicationYear":"2009","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1170,"text":"Canadian Journal of Forest Research","active":true,"publicationSubtype":{"id":10}},"title":"Climate and hydrological changes in the northeastern United States: recent trends and implications for forested and aquatic ecosystems","docAbstract":"<p><span>We review twentieth century and projected twenty-first century changes in climatic and hydrologic conditions in the northeastern United States and the implications of these changes for forest ecosystems. Climate warming and increases in precipitation and associated changes in snow and hydrologic regimes have been observed over the last century, with the most pronounced changes occurring since 1970. Trends in specific climatic and hydrologic variables differ in their responses spatially (e.g., coastal vs. inland) and temporally (e.g., spring vs. summer). Trends can differ depending on the period of record analyzed, hinting at the role of decadal-scale climatic variation that is superimposed over the longer-term trend. Model predictions indicate that continued increases in temperature and precipitation across the northeastern United States can be expected over the next century. Ongoing increases in growing season length (earlier spring and later autumn) will most likely increase evapotranspiration and frequency of drought. In turn, an increase in the frequency of drought will likely increase the risk of fire and negatively impact forest productivity, maple syrup production, and the intensity of autumn foliage coloration. Climate and hydrologic changes could have profound effects on forest structure, composition, and ecological functioning in response to the changes discussed here and as described in related articles in this issue of the Journal.</span></p>","language":"English","publisher":"Canadian Science Press","doi":"10.1139/X08-116","usgsCitation":"Huntington, T.G., Richardson, A., McGuire, K.J., and Hayhoe, K., 2009, Climate and hydrological changes in the northeastern United States: recent trends and implications for forested and aquatic ecosystems: Canadian Journal of Forest Research, v. 39, no. 2, p. 199-212, https://doi.org/10.1139/X08-116.","productDescription":"14 p.","startPage":"199","endPage":"212","ipdsId":"IP-007939","costCenters":[{"id":371,"text":"Maine Water Science Center","active":true,"usgs":true}],"links":[{"id":274868,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Connecticut, Maine, Massachusetts, New Hampshire, New York, Rhode Island, Vermont","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -66.76562799774103,\n              44.78638100318139\n            ],\n            [\n              -67.71521412449565,\n              45.7390749139181\n            ],\n            [\n              -67.78405189315127,\n              47.19537529525098\n            ],\n            [\n              -69.18472105717075,\n              47.46177792217094\n            ],\n            [\n              -70.88591256477002,\n              45.21710520692787\n            ],\n            [\n              -71.38665022904647,\n              45.25189230614373\n            ],\n            [\n              -71.54749484632615,\n              45.06178728633918\n            ],\n            [\n              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thunting@usgs.gov","orcid":"https://orcid.org/0000-0002-9427-3530","contributorId":1884,"corporation":false,"usgs":true,"family":"Huntington","given":"Thomas","email":"thunting@usgs.gov","middleInitial":"G.","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true},{"id":371,"text":"Maine Water Science Center","active":true,"usgs":true}],"preferred":true,"id":480424,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Richardson, Andrew D.","contributorId":105199,"corporation":false,"usgs":true,"family":"Richardson","given":"Andrew D.","affiliations":[],"preferred":false,"id":480427,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"McGuire, Kevin J.","contributorId":69870,"corporation":false,"usgs":true,"family":"McGuire","given":"Kevin","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":480426,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hayhoe, Katharine","contributorId":35624,"corporation":false,"usgs":false,"family":"Hayhoe","given":"Katharine","affiliations":[{"id":16625,"text":"Department of Geosciences, Texas Tech University, Lubbock, Texas","active":true,"usgs":false}],"preferred":false,"id":480425,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70043797,"text":"70043797 - 2009 - Channel water balance and exchange with subsurface flow along a mountain headwater stream in Montana, United States","interactions":[],"lastModifiedDate":"2018-10-12T09:39:08","indexId":"70043797","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2009","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":"Channel water balance and exchange with subsurface flow along a mountain headwater stream in Montana, United States","docAbstract":"Channel water balances of contiguous reaches along streams represent a poorly understood scale of stream-subsurface interaction. We measured reach water balances along a headwater stream in Montana, United States, during summer base flow recessions. Reach water balances were estimated from series of tracer tests in 13 consecutive reaches delineated evenly along a 2.6 km valley segment. For each reach, we estimated net change in discharge, gross hydrologic loss, and gross hydrologic gain from tracer dilution and mass recovery. Four series of tracer tests were performed during relatively high, intermediate, and low base flow conditions. The relative distribution of channel water along the stream was strongly related to a transition in valley structure, with a general increase in gross losses through the recession. During tracer tests at intermediate and low flows, there were frequent substantial losses of tracer mass (>10%) that could not be explained by net loss in flow over the reach, indicating that many of the study reaches were concurrently losing and gaining water. For example, one reach with little net change in discharge exchanged nearly 20% of upstream flow with gains and losses along the reach. These substantial bidirectional exchanges suggest that some channel interactions with subsurface flow paths were not measurable by net change in flow or transient storage of recovered tracer. Understanding bidirectional channel water balances in stream reaches along valleys is critical to an accurate assessment of stream solute fate and transport and to a full assessment of exchanges between the stream channel and surrounding subsurface.","language":"English","publisher":"AGU","doi":"10.1029/2008WR007644","usgsCitation":"Payn, R., Gooseff, M., McGlynn, B., Bencala, K., and Wondzell, S., 2009, Channel water balance and exchange with subsurface flow along a mountain headwater stream in Montana, United States: Water Resources Research, v. 45, no. 11, W11427, https://doi.org/10.1029/2008WR007644.","productDescription":"W11427","ipdsId":"IP-010244","costCenters":[{"id":148,"text":"Branch of Regional Research-Western Region","active":false,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":475970,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2008wr007644","text":"Publisher Index Page"},{"id":273512,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":273509,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1029/2008WR007644"}],"country":"United States","state":"Montana","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -116.05,44.36 ], [ -116.05,49.0 ], [ -104.04,49.0 ], [ -104.04,44.36 ], [ -116.05,44.36 ] ] ] } } ] }","volume":"45","issue":"11","noUsgsAuthors":false,"publicationDate":"2009-11-25","publicationStatus":"PW","scienceBaseUri":"51b6f565e4b0097a7158e594","contributors":{"authors":[{"text":"Payn, R.A.","contributorId":18208,"corporation":false,"usgs":true,"family":"Payn","given":"R.A.","affiliations":[],"preferred":false,"id":474239,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gooseff, M.N.","contributorId":21668,"corporation":false,"usgs":true,"family":"Gooseff","given":"M.N.","email":"","affiliations":[],"preferred":false,"id":474241,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"McGlynn, B.L.","contributorId":106664,"corporation":false,"usgs":true,"family":"McGlynn","given":"B.L.","email":"","affiliations":[],"preferred":false,"id":474243,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bencala, K.E.","contributorId":105312,"corporation":false,"usgs":true,"family":"Bencala","given":"K.E.","email":"","affiliations":[],"preferred":false,"id":474242,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Wondzell, S.M.","contributorId":18599,"corporation":false,"usgs":true,"family":"Wondzell","given":"S.M.","email":"","affiliations":[],"preferred":false,"id":474240,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70044164,"text":"70044164 - 2009 - Changes in reproductive biomarkers in an endangered fish species (bonytail chub, Gila elegans) exposed to low levels of organic wastewater compounds in a controlled experiment","interactions":[],"lastModifiedDate":"2018-10-03T10:47:56","indexId":"70044164","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2009","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":874,"text":"Aquatic Toxicology","active":true,"publicationSubtype":{"id":10}},"title":"Changes in reproductive biomarkers in an endangered fish species (bonytail chub, Gila elegans) exposed to low levels of organic wastewater compounds in a controlled experiment","docAbstract":"In arid regions of the southwestern United States, municipal wastewater treatment plants commonly discharge treated effluent directly into streams that would otherwise be dry most of the year. A better understanding is needed of how effluent-dependent waters (EDWs) differ from more natural aquatic ecosystems and the ecological effect of low levels of environmentally persistent organic wastewater compounds (OWCs) with distance from the pollutant source. In a controlled experiment, we found 26 compounds common to municipal effluent in treatment raceways all at concentrations <1.0 μg/L. Male bonytail chub (Gila elegans) in tanks containing municipal effluent had significantly lower levels of 11-ketotestosterone (p = 0.021) yet higher levels of 17β-estradiol (p = 0.002) and vitellogenin (p = 0.036) compared to control male fish. Female bonytail chub in treatment tanks had significantly lower concentrations of 17β-estradiol than control females (p = 0.001). The normally inverse relationship between primary male and female sex hormones, expected in un-impaired fish, was greatly decreased in treatment (r = 0.00) versus control (r = −0.66) female fish. We found a similar, but not as significant, trend between treatment (r = −0.45) and control (r = −0.82) male fish. Measures of fish condition showed no significant differences between male or female fish housed in effluent or clean water. Inter-sex condition did not occur and testicular and ovarian cells appeared normal for the respective developmental stage and we observed no morphological alteration in fish. The population-level impacts of these findings are uncertain. Studies examining the long-term, generational and behavioral effects to aquatic organisms chronically exposed to low levels of OWC mixtures are needed.","language":"English","publisher":"Elsevier","doi":"10.1016/j.aquatox.2009.08.008","usgsCitation":"Walker, D.B., Paretti, N., Cordy, G., Gross, T.S., Zaugg, S.D., Furlong, E.T., Kolpin, D.W., Matter, W.J., Gwinn, J., and McIntosh, D., 2009, Changes in reproductive biomarkers in an endangered fish species (bonytail chub, Gila elegans) exposed to low levels of organic wastewater compounds in a controlled experiment: Aquatic Toxicology, v. 95, no. 2, p. 133-143, https://doi.org/10.1016/j.aquatox.2009.08.008.","productDescription":"11 p.","startPage":"133","endPage":"143","ipdsId":"IP-003596","costCenters":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":274048,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.aquatox.2009.08.008"},{"id":274049,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -124.8,24.5 ], [ -124.8,49.383333 ], [ -66.95,49.383333 ], [ -66.95,24.5 ], [ -124.8,24.5 ] ] ] } } ] }","volume":"95","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51c59e32e4b0c89b8f120e1a","contributors":{"authors":[{"text":"Walker, David B.","contributorId":7167,"corporation":false,"usgs":true,"family":"Walker","given":"David","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":474953,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Paretti, Nicholas V. nparetti@usgs.gov","contributorId":802,"corporation":false,"usgs":true,"family":"Paretti","given":"Nicholas V.","email":"nparetti@usgs.gov","affiliations":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true}],"preferred":false,"id":474951,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cordy, Gail","contributorId":32067,"corporation":false,"usgs":true,"family":"Cordy","given":"Gail","email":"","affiliations":[],"preferred":false,"id":474956,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gross, Timothy S.","contributorId":45381,"corporation":false,"usgs":true,"family":"Gross","given":"Timothy","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":474957,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Zaugg, Steven D. sdzaugg@usgs.gov","contributorId":768,"corporation":false,"usgs":true,"family":"Zaugg","given":"Steven","email":"sdzaugg@usgs.gov","middleInitial":"D.","affiliations":[],"preferred":true,"id":474950,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Furlong, Edward T. 0000-0002-7305-4603 efurlong@usgs.gov","orcid":"https://orcid.org/0000-0002-7305-4603","contributorId":740,"corporation":false,"usgs":true,"family":"Furlong","given":"Edward","email":"efurlong@usgs.gov","middleInitial":"T.","affiliations":[{"id":27111,"text":"National Water Quality Program","active":true,"usgs":true},{"id":503,"text":"Office of Water Quality","active":true,"usgs":true},{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true},{"id":5046,"text":"Branch of Analytical Serv (NWQL)","active":true,"usgs":true}],"preferred":true,"id":474949,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Kolpin, Dana W. 0000-0002-3529-6505 dwkolpin@usgs.gov","orcid":"https://orcid.org/0000-0002-3529-6505","contributorId":1239,"corporation":false,"usgs":true,"family":"Kolpin","given":"Dana","email":"dwkolpin@usgs.gov","middleInitial":"W.","affiliations":[{"id":351,"text":"Iowa Water Science Center","active":true,"usgs":true}],"preferred":true,"id":474952,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Matter, William J.","contributorId":23424,"corporation":false,"usgs":true,"family":"Matter","given":"William","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":474955,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Gwinn, Jessica","contributorId":17902,"corporation":false,"usgs":true,"family":"Gwinn","given":"Jessica","email":"","affiliations":[],"preferred":false,"id":474954,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"McIntosh, Dennis","contributorId":91391,"corporation":false,"usgs":true,"family":"McIntosh","given":"Dennis","email":"","affiliations":[],"preferred":false,"id":474958,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}}
,{"id":70003850,"text":"70003850 - 2009 - <i>Introduction to</i> paleoenvironments of Bear Lake, Utah and Idaho, and its catchment","interactions":[],"lastModifiedDate":"2014-05-30T13:38:46","indexId":"70003850","displayToPublicDate":"2012-06-22T00:00:00","publicationYear":"2009","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3459,"text":"Special Paper of the Geological Society of America","active":true,"publicationSubtype":{"id":10}},"title":"<i>Introduction to</i> paleoenvironments of Bear Lake, Utah and Idaho, and its catchment","docAbstract":"<p>In 1996 a group led by the late Kerry Kelts (University of Minnesota) and Robert Thompson (U.S. Geological Survey) acquired three piston cores (BL96-1, -2, and -3) from Bear Lake. The coring arose from their recognition of Bear Lake as a potential repository of long records of paleoenvironmental change. They recognized that the lake is located in an area that is sensitive to changes in regional climate patterns (Dean et al., this volume), that the lake basin is long lived (see Colman, 2006; Kaufman et al., this volume), and that, unlike many lakes in the Great Basin, Bear Lake was never dry during warm dry periods.</p>\n<br>\n<p>Bear Lake lies in the northeastern Great Basin to the northeast of Great Salt Lake, just south of the Snake River drainage, and a short distance west of the Green River drainage that makes up part of the Upper Colorado River Basin (Fig. 1). Similarity among the historic Bear Lake and Great Salt Lake hydrographs and flows on the Green River indicates that the hydrology of Bear Lake reflects regional precipitation (Fig. 2). Therefore, paleorecords from Bear Lake are important to understanding past climate for a large region, including the Upper Colorado River Basin, the source of much of the water for the southwestern United States.</p>\n<br>\n<p>Initially, paleoenvironmental studies of Bear Lake sediments focused on cores BL96-1, -2, and -3. Additional coring was conducted to elucidate the spatial distribution of sedimentary units and to extend the record back in time. The study was also expanded to include extensive study of the catchment, including the properties of catchment materials and the processes that could potentially affect the delivery of catchment materials to the lake.</p>\n<br>\n<p>Cores BL96-1, -2, and -3 were taken with a Kullenburg piston corer along an east–west profile in roughly 50, 40, and 30 m of water, respectively (Table 1, Fig. 3). These three cores, each taken as a single 4- to 5-m-long segment, provide a nearly complete composite section from ca. 26 cal ka to the late Holocene. In 1998 a number of short gravity cores were taken from the uppermost water-rich sediments that were not sampled by the 1996 cores. During 2000, cores were taken with a percussion piston corer (manufactured by UWITEC) at three locations in and around Mud Lake and at two locations in the northern end of Bear Lake (Fig. 3). Cores acquired with the percussion corer comprise as many as three overlapping segments up to 2 m in length. In 2002, additional percussion piston cores and associated gravity cores of the uppermost sediments were acquired from five sites in the northern half of the lake. In conjunction with two of the cores collected in 2000, these cores form a north–south profile along a seismic line and span water depths from less than 10 m to ~40 m. Data from this profile provide much of the evidence for lake-level variations (Smoot and Rosenbaum, this volume). Finally, during 2000, two long cores, BL00-1D and -1E (collectively referred to here simply as BL00-1), were taken at a site near the depocenter during testing of the GLAD800 coring platform (Fig. 4; Dean et al., 2002). These cores provide a record back to ca. 220 ka.</p>","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Special Paper of the Geological Society of America","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Geological Society of America","publisherLocation":"Boulder, CO","doi":"10.1130/2009.2450(00)","usgsCitation":"Rosenbaum, J.G., and Kaufman, D.S., 2009, <i>Introduction to</i> paleoenvironments of Bear Lake, Utah and Idaho, and its catchment: Special Paper of the Geological Society of America, v. 450, p. v-xiii, https://doi.org/10.1130/2009.2450(00).","productDescription":"9 p.","startPage":"v","endPage":"xiii","numberOfPages":"9","costCenters":[{"id":271,"text":"Federal Center","active":false,"usgs":true}],"links":[{"id":257819,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":287883,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1130/2009.2450(00)"}],"country":"United States","state":"Idaho;Utah;Wyoming","otherGeospatial":"Bear Lake;Great Basin;Great Salt Lake;Green River;Snake River;Upper Colorado River Basin","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -114.25,40.0 ], [ -114.25,44.75 ], [ -109.5,44.75 ], [ -109.5,40.0 ], [ -114.25,40.0 ] ] ] } } ] }","volume":"450","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5059e271e4b0c8380cd45bb4","contributors":{"authors":[{"text":"Rosenbaum, Joseph G. jrosenbaum@usgs.gov","contributorId":1524,"corporation":false,"usgs":true,"family":"Rosenbaum","given":"Joseph","email":"jrosenbaum@usgs.gov","middleInitial":"G.","affiliations":[],"preferred":true,"id":349147,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kaufman, Darrell S. 0000-0002-7572-1414","orcid":"https://orcid.org/0000-0002-7572-1414","contributorId":28308,"corporation":false,"usgs":true,"family":"Kaufman","given":"Darrell","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":349148,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
]}