Forested floodplains are important landscape features for retaining river nutrients and sediment loads but there is uncertainty in how vegetation influences nutrient and sediment retention. In order to understand the role of vegetation in nutrient and sediment trapping, we quantified species composition and the uptake of nutrients in plant material relative to landscape position and ecosystem attributes in an urban, Piedmont watershed in Virginia, USA. We investigated in situ interactions among vegetative composition, abundance, carbon (C), nitrogen (N) and phosphorus (P) fluxes and ecosystem attributes such as water level, shading, soil nutrient mineralization, and sediment deposition. This study revealed strong associations between vegetation and nutrient and sediment cycling processes at the plot scale and in the longitudinal dimension, but there were few strong patterns between these aspects at the scale of geomorphic features (levee, backswamp, and toe-slope). Patterns reflected the nature of the valley setting rather than a simple downstream continuum. Plant nutrient uptake and sediment trapping were greatest at downstream sites with the widest floodplain and lowest gradient where the hydrologic connection between the floodplain and stream is greater. Sediment trapping increased in association with higher herbaceous plant coverage and lower tree canopy density that, in turn, was associated with a more water tolerant tree community found in the lower watershed but not at the most downstream site in the watershed. Despite urbanization effects on the hydrology, this floodplain functioned as an efficient nutrient trap. N and P flux rates of herbaceous biomass and total litterfall more than accounted for the N and P mineralization flux rate, indicating that vegetation incorporated nearly all mineralized nutrients into biomass.
","language":"English","publisher":"E. Schweizerbart’sche Verlagsbuchhandlung","doi":"10.1127/rs/2015/0097","usgsCitation":"Rybicki, N.B., Noe, G.E., Hupp, C.R., and Robinson, M., 2015, Vegetation composition, nutrient, and sediment dynamics along a floodplain landscape: River Systems, v. 21, no. 2-3, p. 109-123, https://doi.org/10.1127/rs/2015/0097.","productDescription":"15 p.","startPage":"109","endPage":"123","ipdsId":"IP-065247","costCenters":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"links":[{"id":338850,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Virginia","volume":"21","issue":"2-3","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58de1950e4b02ff32c699cad","contributors":{"authors":[{"text":"Rybicki, Nancy B. 0000-0002-2205-7927 nrybicki@usgs.gov","orcid":"https://orcid.org/0000-0002-2205-7927","contributorId":2142,"corporation":false,"usgs":true,"family":"Rybicki","given":"Nancy","email":"nrybicki@usgs.gov","middleInitial":"B.","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":687305,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Noe, Gregory E. 0000-0002-6661-2646 gnoe@usgs.gov","orcid":"https://orcid.org/0000-0002-6661-2646","contributorId":139100,"corporation":false,"usgs":true,"family":"Noe","given":"Gregory","email":"gnoe@usgs.gov","middleInitial":"E.","affiliations":[{"id":36183,"text":"Hydro-Ecological Interactions Branch","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":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"preferred":true,"id":687306,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hupp, Cliff R. 0000-0003-1853-9197 crhupp@usgs.gov","orcid":"https://orcid.org/0000-0003-1853-9197","contributorId":2344,"corporation":false,"usgs":true,"family":"Hupp","given":"Cliff","email":"crhupp@usgs.gov","middleInitial":"R.","affiliations":[{"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":687307,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Robinson, Myles","contributorId":190115,"corporation":false,"usgs":false,"family":"Robinson","given":"Myles","email":"","affiliations":[],"preferred":false,"id":687308,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70137774,"text":"70137774 - 2015 - Discrete-storm water-table fluctuation method to estimate episodic recharge.","interactions":[],"lastModifiedDate":"2015-03-09T10:35:00","indexId":"70137774","displayToPublicDate":"2014-12-31T09:45:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3825,"text":"Groundwater","active":true,"publicationSubtype":{"id":10}},"title":"Discrete-storm water-table fluctuation method to estimate episodic recharge.","docAbstract":"We have developed a method to identify and quantify recharge episodes, along with their associated infiltration-related inputs, by a consistent, systematic procedure. Our algorithm partitions a time series of water levels into discrete recharge episodes and intervals of no episodic recharge. It correlates each recharge episode with a specific interval of rainfall, so storm characteristics such as intensity and duration can be associated with the amount of recharge that results. To be useful in humid climates, the algorithm evaluates the separability of events, so that those whose recharge cannot be associated with a single storm can be appropriately lumped together. Elements of this method that are subject to subjectivity in the application of hydrologic judgment are values of lag time, fluctuation tolerance, and master recession parameters. Because these are determined once for a given site, they do not contribute subjective influences affecting episode-to-episode comparisons. By centralizing the elements requiring scientific judgment, our method facilitates such comparisons by keeping the most subjective elements openly apparent, making it easy to maintain consistency. If applied to a period of data long enough to include recharge episodes with broadly diverse characteristics, the method has value for predicting how climatic alterations in the distribution of storm intensities and seasonal duration may affect recharge.
","language":"English","publisher":"Wiley-Blackwell Publishing, Inc.","doi":"10.1111/gwat.12177","usgsCitation":"Nimmo, J.R., Horowittz, C., and Mitchell, L., 2015, Discrete-storm water-table fluctuation method to estimate episodic recharge.: Groundwater, v. 53, no. 2, p. 282-292, https://doi.org/10.1111/gwat.12177.","productDescription":"11 p.","startPage":"282","endPage":"292","numberOfPages":"11","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-046105","costCenters":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"links":[{"id":297223,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"53","issue":"2","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2014-03-03","publicationStatus":"PW","scienceBaseUri":"54dd2a6ce4b08de9379b3050","chorus":{"doi":"10.1111/gwat.12177","url":"http://dx.doi.org/10.1111/gwat.12177","publisher":"Wiley-Blackwell","authors":"Nimmo John R., Horowitz Charles, Mitchell Lara","journalName":"Groundwater","publicationDate":"3/3/2014","auditedOn":"3/4/2015"},"contributors":{"authors":[{"text":"Nimmo, John R. 0000-0001-8191-1727 jrnimmo@usgs.gov","orcid":"https://orcid.org/0000-0001-8191-1727","contributorId":757,"corporation":false,"usgs":true,"family":"Nimmo","given":"John","email":"jrnimmo@usgs.gov","middleInitial":"R.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":538091,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Horowittz, Charles","contributorId":138611,"corporation":false,"usgs":false,"family":"Horowittz","given":"Charles","email":"","affiliations":[{"id":12465,"text":"University of Pittsburgh","active":true,"usgs":false}],"preferred":false,"id":538090,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mitchell, Lara","contributorId":138612,"corporation":false,"usgs":false,"family":"Mitchell","given":"Lara","email":"","affiliations":[{"id":12466,"text":"Fish and Wildlife","active":true,"usgs":false}],"preferred":false,"id":538092,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70156216,"text":"70156216 - 2015 - Soil ecology of a rock outcrop ecosystem: Abiotic stresses, soil respiration, and microbial community profiles in limestone cedar glades","interactions":[],"lastModifiedDate":"2017-05-16T11:25:30","indexId":"70156216","displayToPublicDate":"2014-12-31T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":21,"text":"Thesis"},"publicationSubtype":{"id":28,"text":"Thesis"},"title":"Soil ecology of a rock outcrop ecosystem: Abiotic stresses, soil respiration, and microbial community profiles in limestone cedar glades","docAbstract":"Limestone cedar glades are a type of rock outcrop ecosystem characterized by shallow soil and extreme hydrologic conditions—seasonally ranging from xeric to saturated—that support a number of plant species of conservation concern. Although a rich botanical literature exists on cedar glades, soil biochemical processes and the ecology of soil microbial communities in limestone cedar glades have largely been ignored. This investigation documents the abiotic stress regime of this ecosystem (shallow soil, extreme hydrologic fluctuations and seasonally high soil surface temperatures) as well as soil physical and chemical characteristics, and relates both types of information to ecological structures and functions including vegetation, soil respiration, and soil microbial community metabolic profiles and diversity. Methods used in this investigation include field observations and measurements of soil physical and chemical properties and processes, laboratory analyses, and microbiological assays of soil samples.\nStress factors quantified by this research include shallow soil (depth to bedrock ranging from 2.4 to 22.6 cm), volumetric soil water content levels seasonally ranging from xeric (below 5%) to saturated (above 50%), and seasonally extreme ground-surface temperatures (above 48°C). Findings from this research indicate that spatial and temporal heterogeneity exists in limestone cedar glades in terms of abiotic stress factors and soil physical and chemical properties. Several such soil properties (e.g. soil depth, organic matter levels, pH, and particle size distribution) are spatially correlated. These soil properties were statistically related to ecological structures and functions such as vegetation patterns, soil respiration, the density of culturable heterotrophic microbes in soil and metabolic diversity of soil microbial community profiles. In general, zones within limestone cedar glades that had relatively shallow soil, alkaline pH, low levels of organic matter and high levels of silt also tended to have depressed rates of soil respiration and reduced densities and metabolic diversity of culturable heterotrophic soil microbes. Additionally, seasonally-relevant stress factors including soil water content and temperatures at or near the soil surface were related to the same set of ecological structures and functions.","language":"English","publisher":"Tennessee State University","usgsCitation":"Cartwright, J.M., and Advised by Dzantor, E.K., 2015, Soil ecology of a rock outcrop ecosystem: Abiotic stresses, soil respiration, and microbial community profiles in limestone cedar glades, 224 p.","productDescription":"224 p.","ipdsId":"IP-054403","costCenters":[{"id":581,"text":"Tennessee Water Science Center","active":true,"usgs":true}],"links":[{"id":341345,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":306724,"type":{"id":15,"text":"Index Page"},"url":"https://digitalscholarship.tnstate.edu/dissertations/AAI3623008/"}],"country":"United States","state":"Tennessee","otherGeospatial":"Nashville Basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -87.07763671875,\n 36.359374956015856\n ],\n [\n -87.066650390625,\n 36.155617833818525\n ],\n [\n -86.781005859375,\n 35.92464453144099\n ],\n [\n -86.98974609375,\n 35.71083783530009\n ],\n [\n -87.16552734375,\n 35.567980458012094\n ],\n [\n -87.0556640625,\n 35.35321610123823\n ],\n [\n -86.85791015625,\n 35.36217605914681\n ],\n [\n -86.71508789062499,\n 35.200744801724014\n ],\n [\n -86.37451171875,\n 35.15584570226544\n ],\n [\n -86.165771484375,\n 35.137879119634185\n ],\n [\n -85.95703125,\n 35.21869749632885\n ],\n [\n -85.946044921875,\n 35.39800594715108\n ],\n [\n -85.95703125,\n 35.62158189955968\n ],\n [\n -85.75927734375,\n 35.82672127366604\n ],\n [\n -85.7427978515625,\n 36.08018188118015\n ],\n [\n -85.7373046875,\n 36.2265501474709\n ],\n [\n -85.6109619140625,\n 36.34167804918315\n ],\n [\n -85.62744140625,\n 36.45221769643571\n ],\n [\n -85.95703125,\n 36.43896124085945\n ],\n [\n -86.396484375,\n 36.54494944148322\n ],\n [\n -86.912841796875,\n 36.500805317604794\n ],\n [\n -87.07763671875,\n 36.359374956015856\n ]\n ]\n ]\n }\n }\n ]\n}","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"591c0fcce4b0a7fdb43ddefe","contributors":{"authors":[{"text":"Cartwright, Jennifer M. 0000-0003-0851-8456 jmcart@usgs.gov","orcid":"https://orcid.org/0000-0003-0851-8456","contributorId":5386,"corporation":false,"usgs":true,"family":"Cartwright","given":"Jennifer","email":"jmcart@usgs.gov","middleInitial":"M.","affiliations":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true},{"id":581,"text":"Tennessee Water Science Center","active":true,"usgs":true}],"preferred":true,"id":568107,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Advised by Dzantor, E. Kudjo","contributorId":192066,"corporation":false,"usgs":false,"family":"Advised by Dzantor","given":"E.","email":"","middleInitial":"Kudjo","affiliations":[],"preferred":false,"id":695305,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70135620,"text":"70135620 - 2015 - Variably-saturated groundwater modeling for optimizing managed aquifer recharge using trench infiltration","interactions":[],"lastModifiedDate":"2015-07-01T15:56:18","indexId":"70135620","displayToPublicDate":"2014-12-15T11:30:00","publicationYear":"2015","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":"Variably-saturated groundwater modeling for optimizing managed aquifer recharge using trench infiltration","docAbstract":"Spreading-basin methods have resulted in more than 130 million cubic meters of recharge to the unconfined Navajo Sandstone of southern Utah in the past decade, but infiltration rates have slowed in recent years because of reduced hydraulic gradients and clogging. Trench infiltration is a promising alternative technique for increasing recharge and minimizing evaporation. This paper uses a variably saturated flow model to further investigate the relative importance of the following variables on rates of trench infiltration to unconfined aquifers: saturated hydraulic conductivity, trench spacing and dimensions, initial water-table depth, alternate wet/dry periods, and number of parallel trenches. Modeling results showed (1) increased infiltration with higher hydraulic conductivity, deeper initial water tables, and larger spacing between parallel trenches, (2) deeper or wider trenches do not substantially increase infiltration, (3) alternating wet/dry periods result in less overall infiltration than keeping the trenches continuously full, and (4) larger numbers of parallel trenches within a fixed area increases infiltration but with a diminishing effect as trench spacing becomes tighter. An empirical equation for estimating expected trench infiltration rates as a function of hydraulic conductivity and initial water-table depth was derived and can be used for evaluating feasibility of trench infiltration in other hydrogeologic settings
","language":"English","publisher":"Wiley","doi":"10.1002/hyp.10413","usgsCitation":"Heilweil, V.M., Benoit, J., and Healy, R.W., 2015, Variably-saturated groundwater modeling for optimizing managed aquifer recharge using trench infiltration: Hydrological Processes, v. 29, no. 3, p. 310-319, https://doi.org/10.1002/hyp.10413.","productDescription":"10 p.","startPage":"310","endPage":"319","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-053219","costCenters":[{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true}],"links":[{"id":296673,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Utah","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -114.10400390625,\n 42.01665183556825\n ],\n [\n -110.98388671874999,\n 42.01665183556825\n ],\n [\n -111.02783203125,\n 41.0130657870063\n ],\n [\n -108.91845703124999,\n 41.04621681452063\n ],\n [\n -109.0283203125,\n 36.98500309285596\n ],\n [\n -113.99414062499999,\n 37.00255267215955\n ],\n [\n -114.10400390625,\n 42.01665183556825\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"29","issue":"3","noUsgsAuthors":false,"publicationDate":"2015-01-18","publicationStatus":"PW","scienceBaseUri":"54900632e4b020a14785d24c","contributors":{"authors":[{"text":"Heilweil, Victor M. heilweil@usgs.gov","contributorId":837,"corporation":false,"usgs":true,"family":"Heilweil","given":"Victor","email":"heilweil@usgs.gov","middleInitial":"M.","affiliations":[{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true}],"preferred":true,"id":527151,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Benoit, Jerome","contributorId":128458,"corporation":false,"usgs":false,"family":"Benoit","given":"Jerome","email":"","affiliations":[{"id":7174,"text":"École Nationale du Genie de l’Eau et de l’Environnement de Strasbourg","active":true,"usgs":false}],"preferred":false,"id":527153,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"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":527152,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70134234,"text":"70134234 - 2015 - Pesticide concentrations in frog tissue and wetland habitats in alandscape dominated by agriculture","interactions":[],"lastModifiedDate":"2018-09-04T15:43:20","indexId":"70134234","displayToPublicDate":"2014-11-24T15:30:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3352,"text":"Science of the Total Environment","active":true,"publicationSubtype":{"id":10}},"title":"Pesticide concentrations in frog tissue and wetland habitats in alandscape dominated by agriculture","docAbstract":"Habitat loss and exposure to pesticides are likely primary factors contributing to amphibian decline in agricultural landscapes. Conservation efforts have attempted to restore wetlands lost through landscape modifications to reduce contaminant loads in surface waters and providing quality habitat to wildlife. The benefits of this increased wetland area, perhaps especially for amphibians, may be negated if habitat quality is insufficient to support persistent populations. We examined the presence of pesticides and nutrients in water and sediment as indicators of habitat quality and assessed the bioaccumulation of pesticides in the tissue of two native amphibian species Pseudacris maculata (chorus frogs) and Lithobates pipiens (leopard frogs) at six wetlands (3 restored and 3 reference) in Iowa, USA. Restored wetlands are positioned on the landscape to receive subsurface tile drainage water while reference wetlands receive water from overland run-off and shallow groundwater sources. Concentrations of the pesticides frequently detected in water and sediment samples were not different between wetland types. The median concentration of atrazine in surface water was 0.2 μg/L. Reproductive abnormalities in leopard frogs have been observed in other studies at these concentrations. Nutrient concentrations were higher in the restored wetlands but lower than concentrations thought lethal to frogs. Complex mixtures of pesticides including up to 8 fungicides, some previously unreported in tissue, were detected with concentrations ranging from 0.08 to 1500 μg/kg wet weight. No significant differences in pesticide concentrations were observed between species, although concentrations tended to be higher in leopard frogs compared to chorus frogs, possibly because of differences in life histories. Our results provide information on habitat quality in restored wetlands that will assist state and federal agencies, landowners, and resource managers in identifying and implementing conservation and management actions for these and similar wetlands in agriculturally dominated landscapes.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.scitotenv.2014.08.114","usgsCitation":"Smalling, K., Reeves, R., Muths, E.L., Vandever, M.W., Battaglin, W.A., Hladik, M., and Pierce, C.L., 2015, Pesticide concentrations in frog tissue and wetland habitats in alandscape dominated by agriculture: Science of the Total Environment, v. 502, p. 80-90, https://doi.org/10.1016/j.scitotenv.2014.08.114.","productDescription":"11 p.","startPage":"80","endPage":"90","numberOfPages":"11","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-056800","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true},{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true},{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true},{"id":350,"text":"Iowa Cooperative Fish and Wildlife Research Unit","active":false,"usgs":true},{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":472454,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://lib.dr.iastate.edu/nrem_pubs/99","text":"External Repository"},{"id":296274,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Iowa","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -94.50439453125,\n 41.85115059465234\n ],\n [\n -94.50439453125,\n 42.28950073090457\n ],\n [\n -92.8289794921875,\n 42.28950073090457\n ],\n [\n -92.8289794921875,\n 41.85115059465234\n ],\n [\n -94.50439453125,\n 41.85115059465234\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"502","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"547ae02ae4b0da0a54dbb611","contributors":{"authors":[{"text":"Smalling, Kelly L. ksmall@usgs.gov","contributorId":1370,"corporation":false,"usgs":true,"family":"Smalling","given":"Kelly L.","email":"ksmall@usgs.gov","affiliations":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"preferred":false,"id":525754,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Reeves, Rebecca","contributorId":127566,"corporation":false,"usgs":false,"family":"Reeves","given":"Rebecca","affiliations":[{"id":6911,"text":"Iowa State University","active":true,"usgs":false}],"preferred":false,"id":525755,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Muths, Erin L. 0000-0002-5498-3132 muthse@usgs.gov","orcid":"https://orcid.org/0000-0002-5498-3132","contributorId":1260,"corporation":false,"usgs":true,"family":"Muths","given":"Erin","email":"muthse@usgs.gov","middleInitial":"L.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":525756,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Vandever, Mark W. vandeverm@usgs.gov","contributorId":3004,"corporation":false,"usgs":true,"family":"Vandever","given":"Mark","email":"vandeverm@usgs.gov","middleInitial":"W.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":false,"id":525757,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Battaglin, William A. 0000-0001-7287-7096 wbattagl@usgs.gov","orcid":"https://orcid.org/0000-0001-7287-7096","contributorId":1527,"corporation":false,"usgs":true,"family":"Battaglin","given":"William","email":"wbattagl@usgs.gov","middleInitial":"A.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":525758,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hladik, Michelle 0000-0002-0891-2712 mhladik@usgs.gov","orcid":"https://orcid.org/0000-0002-0891-2712","contributorId":784,"corporation":false,"usgs":true,"family":"Hladik","given":"Michelle","email":"mhladik@usgs.gov","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":false,"id":525759,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Pierce, Clay L. cpierce@usgs.gov","contributorId":525,"corporation":false,"usgs":true,"family":"Pierce","given":"Clay","email":"cpierce@usgs.gov","middleInitial":"L.","affiliations":[{"id":350,"text":"Iowa Cooperative Fish and Wildlife Research Unit","active":false,"usgs":true}],"preferred":false,"id":525760,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70131490,"text":"70131490 - 2015 - Assessing the impacts of climate and land use and land cover change on the freshwater availability in the Brahmaputra River basin","interactions":[],"lastModifiedDate":"2017-01-18T10:09:19","indexId":"70131490","displayToPublicDate":"2014-11-19T10:45:00","publicationYear":"2015","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}},"subseriesTitle":"Regional Studies","title":"Assessing the impacts of climate and land use and land cover change on the freshwater availability in the Brahmaputra River basin","docAbstract":"Study Region: Brahmaputra River basin in South Asia.
\n\n
Study Focus: The Soil and Water Assessment Tool was used to evaluate sensitivities and patterns in freshwater availability due to projected climate and land use changes in the Brahmaputra basin. The daily observed discharge at Bahadurabad station in Bangladesh was used to calibrate and validate the model and analyze uncertainties with a sequential uncertainty fitting algorithm. The sensitivities and impacts of projected climate and land use changes on basin hydrological components were simulated for the A1B and A2 scenarios and analyzed relative to a baseline scenario of 1988–2004.
\n\n
New hydrological insights for the region: Basin average annual ET was found to be sensitive to changes in CO2 concentration and temperature, while total water yield, streamflow, and groundwater recharge were sensitive to changes in precipitation. The basin hydrological components were predicted to increase with seasonal variability in response to climate and land use change scenarios. Strong increasing trends were predicted for total water yield, streamflow, and groundwater recharge, indicating exacerbation of flooding potential during August–October, but strong decreasing trends were predicted, indicating exacerbation of drought potential during May–July of the 21st century. The model has potential to facilitate strategic decision making through scenario generation integrating climate change adaptation and hazard mitigation policies to ensure optimized allocation of water resources under a variable and changing climate.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.ejrh.2014.09.003","usgsCitation":"Pervez, M., and Henebry, G.M., 2015, Assessing the impacts of climate and land use and land cover change on the freshwater availability in the Brahmaputra River basin: Journal of Hydrology, v. 3, p. 285-311, https://doi.org/10.1016/j.ejrh.2014.09.003.","productDescription":"27 p.","startPage":"285","endPage":"311","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-056504","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":472456,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.ejrh.2014.09.003","text":"Publisher Index Page"},{"id":296194,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Bangladesh","otherGeospatial":"Brahmaputra River basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n 81.8701171875,\n 20.097206227083888\n ],\n [\n 81.8701171875,\n 32.175612478499325\n ],\n [\n 104.4580078125,\n 32.175612478499325\n ],\n [\n 104.4580078125,\n 20.097206227083888\n ],\n [\n 81.8701171875,\n 20.097206227083888\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"3","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"546db11ae4b0fc7976bf1e1d","chorus":{"doi":"10.1016/j.ejrh.2014.09.003","url":"http://dx.doi.org/10.1016/j.ejrh.2014.09.003","publisher":"Elsevier BV","authors":"Pervez Md Shahriar, Henebry Geoffrey M.","journalName":"Journal of Hydrology: Regional Studies","publicationDate":"3/2015","auditedOn":"11/26/2014","publiclyAccessibleDate":"9/27/2014"},"contributors":{"authors":[{"text":"Pervez, Md Shahriar 0000-0003-3417-1871 spervez@usgs.gov","orcid":"https://orcid.org/0000-0003-3417-1871","contributorId":3099,"corporation":false,"usgs":true,"family":"Pervez","given":"Md Shahriar","email":"spervez@usgs.gov","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":false,"id":521265,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Henebry, Geoffrey M.","contributorId":124528,"corporation":false,"usgs":false,"family":"Henebry","given":"Geoffrey","email":"","middleInitial":"M.","affiliations":[{"id":5087,"text":"Geographic Information Science Center of Excellence (GIScCE), South Dakota State University, Brookings, USA","active":true,"usgs":false}],"preferred":false,"id":521266,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70137252,"text":"70137252 - 2015 - Vegetation controls on weathering intensity during the last deglacial transition in southeast Africa","interactions":[],"lastModifiedDate":"2018-03-23T14:03:03","indexId":"70137252","displayToPublicDate":"2014-11-18T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2980,"text":"PLoS ONE","active":true,"publicationSubtype":{"id":10}},"title":"Vegetation controls on weathering intensity during the last deglacial transition in southeast Africa","docAbstract":"Tropical climate is rapidly changing, but the effects of these changes on the geosphere are unknown, despite a likelihood of climatically-induced changes on weathering and erosion. The lack of long, continuous paleo-records prevents an examination of terrestrial responses to climate change with sufficient detail to answer questions about how systems behaved in the past and may alter in the future. We use high-resolution records of pollen, clay mineralogy, and particle size from a drill core from Lake Malawi, southeast Africa, to examine atmosphere-biosphere-geosphere interactions during the last deglaciation (~18–9 ka), a period of dramatic temperature and hydrologic changes. The results demonstrate that climatic controls on Lake Malawi vegetation are critically important to weathering processes and erosion patterns during the deglaciation. At 18 ka, afromontane forests dominated but were progressively replaced by tropical seasonal forest, as summer rainfall increased. Despite indication of decreased rainfall, drought-intolerant forest persisted through the Younger Dryas (YD) resulting from a shorter dry season. Following the YD, an intensified summer monsoon and increased rainfall seasonality were coeval with forest decline and expansion of drought-tolerant miombo woodland. Clay minerals closely track the vegetation record, with high ratios of kaolinite to smectite (K/S) indicating heavy leaching when forest predominates, despite variable rainfall. In the early Holocene, when rainfall and temperature increased (effective moisture remained low), open woodlands expansion resulted in decreased K/S, suggesting a reduction in chemical weathering intensity. Terrigenous sediment mass accumulation rates also increased, suggesting critical linkages among open vegetation and erosion during intervals of enhanced summer rainfall. This study shows a strong, direct influence of vegetation composition on weathering intensity in the tropics. As climate change will likely impact this interplay between the biosphere and geosphere, tropical landscape change could lead to deleterious effects on soil and water quality in regions with little infrastructure for mitigation.
","language":"English","publisher":"PLOS","doi":"10.1371/journal.pone.0112855","usgsCitation":"Ivory, S., McGlue, M.M., Ellis, G.S., Lézine, A., Cohen, A.S., and Vincens, A., 2015, Vegetation controls on weathering intensity during the last deglacial transition in southeast Africa: PLoS ONE, v. 9, no. 11, e112855: 11 p., https://doi.org/10.1371/journal.pone.0112855.","productDescription":"e112855: 11 p.","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-057713","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":472458,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0112855","text":"Publisher Index Page"},{"id":297013,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Lake Malawi","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n 33.486328125,\n -9.492408153765531\n ],\n [\n 34.6728515625,\n -9.275622176792098\n ],\n [\n 35.595703125,\n -14.647368383896632\n ],\n [\n 34.4091796875,\n -14.732386081418467\n ],\n [\n 33.486328125,\n -9.492408153765531\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"9","issue":"11","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2014-11-18","publicationStatus":"PW","scienceBaseUri":"54dd2ac9e4b08de9379b3209","contributors":{"authors":[{"text":"Ivory, Sarah J.","contributorId":138493,"corporation":false,"usgs":false,"family":"Ivory","given":"Sarah J.","affiliations":[{"id":6624,"text":"University of Arizona, Laboratory of Tree-Ring Research","active":true,"usgs":false}],"preferred":false,"id":537574,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McGlue, Michael M. mmcglue@usgs.gov","contributorId":4091,"corporation":false,"usgs":true,"family":"McGlue","given":"Michael","email":"mmcglue@usgs.gov","middleInitial":"M.","affiliations":[],"preferred":true,"id":537575,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ellis, Geoffrey S. 0000-0003-4519-3320 gsellis@usgs.gov","orcid":"https://orcid.org/0000-0003-4519-3320","contributorId":1058,"corporation":false,"usgs":true,"family":"Ellis","given":"Geoffrey","email":"gsellis@usgs.gov","middleInitial":"S.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":537573,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lézine, Anne-Marie","contributorId":138495,"corporation":false,"usgs":false,"family":"Lézine","given":"Anne-Marie","affiliations":[{"id":12426,"text":"LOCEAN, CNRS, Paris, France","active":true,"usgs":false}],"preferred":false,"id":537576,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Cohen, Andrew S.","contributorId":100989,"corporation":false,"usgs":true,"family":"Cohen","given":"Andrew","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":537577,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Vincens, Annie","contributorId":138497,"corporation":false,"usgs":false,"family":"Vincens","given":"Annie","affiliations":[{"id":12427,"text":"CEREGE, CNRS, Aix-en-Provence, France","active":true,"usgs":false}],"preferred":false,"id":537578,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70139357,"text":"70139357 - 2015 - Using scenario planning to evaluate the impacts of climate change on wildlife populations and communities in the Florida Everglades","interactions":[],"lastModifiedDate":"2015-04-01T09:35:08","indexId":"70139357","displayToPublicDate":"2014-11-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1547,"text":"Environmental Management","active":true,"publicationSubtype":{"id":10}},"title":"Using scenario planning to evaluate the impacts of climate change on wildlife populations and communities in the Florida Everglades","docAbstract":"It is uncertain how climate change will impact hydrologic drivers of wildlife population dynamics in freshwater wetlands of the Florida Everglades, or how to accommodate this uncertainty in restoration decisions. Using projections of climate scenarios for the year 2060, we evaluated how several possible futures could affect wildlife populations (wading birds, fish, alligators, native apple snails, amphibians, threatened and invasive species) across the Everglades landscape and inform planning already underway. We used data collected from prior research and monitoring to parameterize our wildlife population models. Hydrologic data were simulated using a spatially explicit, regional-scale model. Our scenario evaluations show that expected changes in temperature, precipitation, and sea level could significantly alter important ecological functions. All of our wildlife indicators were negatively affected by scenarios with less rainfall and more evapotranspiration. Under such scenarios, habitat suitability was substantially reduced for iconic animals such as wading birds and alligators. Conversely, the increased rainfall scenario benefited aquatic prey productivity and apex predators. Cascading impacts on non-native species is speculative, but increasing temperatures could increase the time between cold events that currently limit expansion and abundance of non-native fishes, amphibians, and reptiles with natural ranges in the tropics. This scenario planning framework underscored the benefits of proceeding with Everglades restoration plans that capture and clean more freshwater with the potential to mitigate rainfall loss and postpone impacts of sea level rise.
","language":"English","publisher":"Environmental Management","doi":"10.1007/s00267-014-0397-5","usgsCitation":"Catano, C.P., Romañach, S., Beerens, J., Pearlstine, L.G., Brandt, L., Hart, K.M., Mazzotti, F., and Trexler, J.C., 2015, Using scenario planning to evaluate the impacts of climate change on wildlife populations and communities in the Florida Everglades: Environmental Management, v. 55, no. 4, p. 807-823, https://doi.org/10.1007/s00267-014-0397-5.","productDescription":"17 p.","startPage":"807","endPage":"823","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-051166","costCenters":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"links":[{"id":297570,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Florida","otherGeospatial":"Everglades","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -82.28759765625,\n 25.110471486223346\n ],\n [\n -82.28759765625,\n 26.868180902512403\n ],\n [\n -79.8431396484375,\n 26.868180902512403\n ],\n [\n -79.8431396484375,\n 25.110471486223346\n ],\n [\n -82.28759765625,\n 25.110471486223346\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"55","issue":"4","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationDate":"2014-11-05","publicationStatus":"PW","scienceBaseUri":"54dd2c7ee4b08de9379b3840","contributors":{"authors":[{"text":"Catano, Christopher P.","contributorId":138935,"corporation":false,"usgs":false,"family":"Catano","given":"Christopher","email":"","middleInitial":"P.","affiliations":[{"id":7017,"text":"Florida International University","active":true,"usgs":false}],"preferred":false,"id":539334,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Romañach, Stephanie S. 0000-0003-0271-7825 sromanach@usgs.gov","orcid":"https://orcid.org/0000-0003-0271-7825","contributorId":2331,"corporation":false,"usgs":true,"family":"Romañach","given":"Stephanie S.","email":"sromanach@usgs.gov","affiliations":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"preferred":false,"id":539335,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Beerens, James M. 0000-0001-8143-916X","orcid":"https://orcid.org/0000-0001-8143-916X","contributorId":25440,"corporation":false,"usgs":false,"family":"Beerens","given":"James M.","affiliations":[],"preferred":false,"id":539336,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Pearlstine, Leonard G.","contributorId":34751,"corporation":false,"usgs":false,"family":"Pearlstine","given":"Leonard","email":"","middleInitial":"G.","affiliations":[{"id":12462,"text":"U.S. Department of the Interior, National Park Service","active":true,"usgs":false}],"preferred":false,"id":539337,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Brandt, Laura A.","contributorId":18608,"corporation":false,"usgs":false,"family":"Brandt","given":"Laura A.","affiliations":[{"id":6987,"text":"U.S. Fish and Wildlife Sevice","active":true,"usgs":false}],"preferred":false,"id":539338,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hart, Kristen M. 0000-0002-5257-7974 kristen_hart@usgs.gov","orcid":"https://orcid.org/0000-0002-5257-7974","contributorId":1966,"corporation":false,"usgs":true,"family":"Hart","given":"Kristen","email":"kristen_hart@usgs.gov","middleInitial":"M.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":539322,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Mazzotti, Frank J.","contributorId":100018,"corporation":false,"usgs":false,"family":"Mazzotti","given":"Frank J.","affiliations":[{"id":12557,"text":"University of Florida, FLREC","active":true,"usgs":false}],"preferred":false,"id":539339,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Trexler, Joel C.","contributorId":36267,"corporation":false,"usgs":false,"family":"Trexler","given":"Joel","email":"","middleInitial":"C.","affiliations":[{"id":7017,"text":"Florida International University","active":true,"usgs":false}],"preferred":false,"id":539340,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70128483,"text":"tm4A10 - 2015 - User guide to Exploration and Graphics for RivEr Trends (EGRET) and dataRetrieval: R packages for hydrologic data","interactions":[],"lastModifiedDate":"2021-03-25T14:13:34.167466","indexId":"tm4A10","displayToPublicDate":"2014-10-09T09:41:00","publicationYear":"2015","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":335,"text":"Techniques and Methods","code":"TM","onlineIssn":"2328-7055","printIssn":"2328-7047","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"4-A10","title":"User guide to Exploration and Graphics for RivEr Trends (EGRET) and dataRetrieval: R packages for hydrologic data","docAbstract":"Evaluating long-term changes in river conditions (water quality and discharge) is an important use of hydrologic data. To carry out such evaluations, the hydrologist needs tools to facilitate several key steps in the process: acquiring the data records from a variety of sources, structuring it in ways that facilitate the analysis, processing the data with routines that extract information about changes that may be happening, and displaying findings with graphical techniques. A pair of tightly linked R packages, called dataRetrieval and EGRET (Exploration and Graphics for RivEr Trends), have been developed for carrying out each of these steps in an integrated manner. They are designed to easily accept data from three sources: U.S. Geological Survey hydrologic data, U.S. Environmental Protection Agency (EPA) STORET data, and user-supplied flat files. The dataRetrieval package not only serves as a “front end” to the EGRET package, it can also be used to easily download many types of hydrologic data and organize it in ways that facilitate many other hydrologic applications. The EGRET package has components oriented towards the description of long-term changes in streamflow statistics (high flow, average flow, and low flow) as well as changes in water quality. For the water-quality analysis, it uses Weighted Regressions on Time, Discharge and Season (WRTDS) to describe long-term trends in both concentration and flux. EGRET also creates a wide range of graphical presentations of the water-quality data and of the WRTDS results. This report serves as a user guide to these two R packages, providing detailed guidance on installation and use of the software, documentation of the analysis methods used, as well as guidance on some of the kinds of questions and approaches that the software can facilitate.
","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"Section A: Statistical analysis in Book 4 Hydrologic Analysis and Interpretation","largerWorkSubtype":{"id":5,"text":"USGS Numbered Series"},"language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/tm4A10","usgsCitation":"Hirsch, R.M., and De Cicco, L., 2015, User guide to Exploration and Graphics for RivEr Trends (EGRET) and dataRetrieval: R packages for hydrologic data (Version 1.0: Originally posted October 8, 2014; Version 2.0: February 5, 2015): U.S. Geological Survey Techniques and Methods 4-A10, Report: vii, 93 p.; 2 Appendixes, https://doi.org/10.3133/tm4A10.","productDescription":"Report: vii, 93 p.; 2 Appendixes","numberOfPages":"104","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-056100","costCenters":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"links":[{"id":438730,"rank":5,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9X4L3GE","text":"USGS data release","linkHelpText":"dataRetrieval"},{"id":297766,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/tm/04/a10/images/coverthb.jpg"},{"id":295115,"rank":3,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/tm/04/a10/pdf/tm4A10_appendix_1.pdf","text":"Appendix 1: data retrieval vignette","size":"472 kB","linkFileType":{"id":1,"text":"pdf"},"description":"Appendix 1: data retrieval vignette"},{"id":295086,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/tm/04/a10/"},{"id":295114,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/tm/04/a10/pdf/tm4A10.pdf","text":"Report","size":"6.27 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Report"},{"id":295116,"rank":4,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/tm/04/a10/pdf/tm4A10_appendix_2.pdf","text":"Appendix 2: EGRET vignette","size":"1.02 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Appendix 2: EGRET vignette"}],"edition":"Version 1.0: Originally posted October 8, 2014; Version 2.0: February 5, 2015","publicComments":"This report is Chapter 10 of Section A: Statistical analysis in Book 4 Hydrologic Analysis and Interpretation.","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"54379589e4b08a816ca63613","contributors":{"authors":[{"text":"Hirsch, Robert M. 0000-0002-4534-075X rhirsch@usgs.gov","orcid":"https://orcid.org/0000-0002-4534-075X","contributorId":2005,"corporation":false,"usgs":true,"family":"Hirsch","given":"Robert","email":"rhirsch@usgs.gov","middleInitial":"M.","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true},{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true},{"id":502,"text":"Office of Surface Water","active":true,"usgs":true},{"id":37316,"text":"WMA - Integrated Information Dissemination Division","active":true,"usgs":true}],"preferred":true,"id":502921,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"De Cicco, Laura A. 0000-0002-3915-9487","orcid":"https://orcid.org/0000-0002-3915-9487","contributorId":35255,"corporation":false,"usgs":true,"family":"De Cicco","given":"Laura A.","affiliations":[{"id":5054,"text":"Office of Water Information","active":true,"usgs":true}],"preferred":false,"id":502922,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70120425,"text":"70120425 - 2015 - Development of a spatially universal framework for classifying stream assemblages with application to conservation planning for Great Lakes lotic fish communities","interactions":[],"lastModifiedDate":"2015-03-09T10:23:05","indexId":"70120425","displayToPublicDate":"2014-10-01T14:27:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3271,"text":"Restoration Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Development of a spatially universal framework for classifying stream assemblages with application to conservation planning for Great Lakes lotic fish communities","docAbstract":"Classifications are typically specific to particular issues or areas, leading to patchworks of subjectively defined spatial units. Stream conservation is hindered by the lack of a universal habitat classification system and would benefit from an independent hydrology-guided spatial framework of units encompassing all aquatic habitats at multiple spatial scales within large regions. We present a system that explicitly separates the spatial framework from any particular classification developed from the framework. The framework was constructed from landscape variables that are hydrologically and biologically relevant, covered all space within the study area, and was nested hierarchically and spatially related at scales ranging from the stream reach to the entire region; classifications may be developed from any subset of the 9 basins, 107 watersheds, 459 subwatersheds, or 10,000s of valley segments or stream reaches. To illustrate the advantages of this approach, we developed a fish-guided classification generated from a framework for the Great Lakes region that produced a mosaic of habitat units which, when aggregated, formed larger patches of more general conditions at progressively broader spatial scales. We identified greater than 1,200 distinct fish habitat types at the valley segment scale, most of which were rare. Comparisons of biodiversity and species assemblages are easily examined at any scale. This system can identify and quantify habitat types, evaluate habitat quality for conservation and/or restoration, and assist managers and policymakers with prioritization of protection and restoration efforts. Similar spatial frameworks and habitat classifications can be developed for any organism in any riverine ecosystem.
","language":"English","publisher":"Society for Ecological Restoration","doi":"10.1111/rec.12146","usgsCitation":"McKenna, J., Schaeffer, J., Stewart, J.S., and Slattery, M.T., 2015, Development of a spatially universal framework for classifying stream assemblages with application to conservation planning for Great Lakes lotic fish communities: Restoration Ecology, v. 23, no. 2, p. 167-178, https://doi.org/10.1111/rec.12146.","productDescription":"12 p.","startPage":"167","endPage":"178","numberOfPages":"12","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-051855","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":294729,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":294728,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1111/rec.12146"}],"country":"United States","state":"Michigan, Minnesota, New York, Ohio, Wisconsin","otherGeospatial":"Great Lakes","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -93.779296875,\n 39.9434364619742\n ],\n [\n -93.779296875,\n 48.922499263758255\n ],\n [\n -71.6748046875,\n 48.922499263758255\n ],\n [\n -71.6748046875,\n 39.9434364619742\n ],\n [\n -93.779296875,\n 39.9434364619742\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"23","issue":"2","noUsgsAuthors":false,"publicationDate":"2014-08-27","publicationStatus":"PW","scienceBaseUri":"542d098be4b092f17defc4e1","contributors":{"authors":[{"text":"McKenna, James E. Jr.","contributorId":38486,"corporation":false,"usgs":true,"family":"McKenna","given":"James E.","suffix":"Jr.","affiliations":[],"preferred":false,"id":498188,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Schaeffer, Jeffrey S.","contributorId":19890,"corporation":false,"usgs":true,"family":"Schaeffer","given":"Jeffrey S.","affiliations":[],"preferred":false,"id":498187,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Stewart, Jana S. 0000-0002-8121-1373 jsstewar@usgs.gov","orcid":"https://orcid.org/0000-0002-8121-1373","contributorId":539,"corporation":false,"usgs":true,"family":"Stewart","given":"Jana","email":"jsstewar@usgs.gov","middleInitial":"S.","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":true,"id":498185,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Slattery, Michael T. mslattery@usgs.gov","contributorId":5470,"corporation":false,"usgs":true,"family":"Slattery","given":"Michael","email":"mslattery@usgs.gov","middleInitial":"T.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":498186,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70122717,"text":"70122717 - 2015 - Modeling long-term trends of chlorinated ethene contamination at a public supply well","interactions":[],"lastModifiedDate":"2018-08-10T09:52:49","indexId":"70122717","displayToPublicDate":"2014-08-28T11:13:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2529,"text":"Journal of the American Water Resources Association","active":true,"publicationSubtype":{"id":10}},"title":"Modeling long-term trends of chlorinated ethene contamination at a public supply well","docAbstract":"A mass-balance solute-transport modeling approach was used to investigate the effects of dense nonaqueous phase liquid (DNAPL) volume, composition, and generation of daughter products on simulated and measured long-term trends of chlorinated ethene (CE) concentrations at a public supply well. The model was built by telescoping a calibrated regional three-dimensional MODFLOW model to the capture zone of a public supply well that has a history of CE contamination. The local model was then used to simulate the interactions between naturally occurring organic carbon that acts as an electron donor, and dissolved oxygen (DO), CEs, ferric iron, and sulfate that act as electron acceptors using the Sequential Electron Acceptor Model in three dimensions (SEAM3D) code. The modeling results indicate that asymmetry between rapidly rising and more gradual falling concentration trends over time suggests a DNAPL rather than a dissolved source of CEs. Peak concentrations of CEs are proportional to the volume and composition of the DNAPL source. The persistence of contamination, which can vary from a few years to centuries, is proportional to DNAPL volume, but is unaffected by DNAPL composition. These results show that monitoring CE concentrations in raw water produced by impacted public supply wells over time can provide useful information concerning the nature of contaminant sources and the likely future persistence of contamination.
","language":"English","publisher":"American Water Resources Association","publisherLocation":"Herndon, VA","doi":"10.1111/jawr.12230","usgsCitation":"Chapelle, F.H., Kauffman, L.J., and Widdowson, M.A., 2015, Modeling long-term trends of chlorinated ethene contamination at a public supply well: Journal of the American Water Resources Association, v. 51, no. 1, p. 1-13, https://doi.org/10.1111/jawr.12230.","productDescription":"13 p.","startPage":"1","endPage":"13","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-052153","costCenters":[{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true},{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"links":[{"id":293152,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":293151,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1111/jawr.12230"}],"country":"United States","state":"New Jersey","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -75.3813,39.3249 ], [ -75.3813,39.9952 ], [ -74.7182,39.9952 ], [ -74.7182,39.3249 ], [ -75.3813,39.3249 ] ] ] } } ] }","volume":"51","issue":"1","noUsgsAuthors":false,"publicationDate":"2014-08-12","publicationStatus":"PW","scienceBaseUri":"54003434e4b04e908030b547","contributors":{"authors":[{"text":"Chapelle, Francis H. chapelle@usgs.gov","contributorId":1350,"corporation":false,"usgs":true,"family":"Chapelle","given":"Francis","email":"chapelle@usgs.gov","middleInitial":"H.","affiliations":[{"id":559,"text":"South Carolina Water Science Center","active":true,"usgs":true},{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"preferred":true,"id":499661,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kauffman, Leon J. 0000-0003-4564-0362 lkauff@usgs.gov","orcid":"https://orcid.org/0000-0003-4564-0362","contributorId":1094,"corporation":false,"usgs":true,"family":"Kauffman","given":"Leon","email":"lkauff@usgs.gov","middleInitial":"J.","affiliations":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"preferred":true,"id":499660,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Widdowson, Mark A.","contributorId":90379,"corporation":false,"usgs":true,"family":"Widdowson","given":"Mark","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":499662,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70104727,"text":"70104727 - 2015 - Hydrologic response to valley-scale structure in alpine headwaters","interactions":[],"lastModifiedDate":"2017-11-24T18:04:36","indexId":"70104727","displayToPublicDate":"2014-05-19T09:54:00","publicationYear":"2015","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":"Hydrologic response to valley-scale structure in alpine headwaters","docAbstract":"Few systematic studies of valley-scale geomorphic drivers of streamflow regimes in complex alpine headwaters have compared response between catchments. As a result, little guidance is available for regional-scale hydrological research and monitoring efforts that include assessments of ecosystem function. Physical parameters such as slope, elevation range, drainage area and bedrock geology are often used to stratify differences in streamflow response between sampling sites within an ecoregion. However, these metrics do not take into account geomorphic controls on streamflow specific to glaciated mountain headwaters. The coarse-grained nature of depositional features in alpine catchments suggests that these landforms have little water storage capacity because hillslope runoff moves rapidly just beneath the rock mantle before emerging in fluvial networks. However, recent studies show that a range of depositional features, including talus slopes, protalus ramparts and 'rock-ice' features may have more storage capacity than previously thought.
\nTo better evaluate potential differences in streamflow response among basins with extensive coarse depositional features and those without, we examined the relationships between streamflow discharge, stable isotopes, water temperature and the amplitude of the diurnal signal at five basin outlets. We also quantified the percentages of colluvial channel length measured along the stepped longitudinal profile. Colluvial channels, characterized by the presence of surficial, coarse-grained depositional features, presented sediment-rich, transport-limited morphologies that appeared to have a cumulative effect on the timing and volume of flow downstream. Measurements taken from colluvial channels flowing through depositional landforms showed median recession constants (Kr) of 0.9-0.95, δ18O values of ≥−14.5 and summer diurnal amplitudes ≤0.8 as compared with more typical surface water recession constant values of 0.7, δ18O ≤ −13.5 and diurnal amplitudes >2.0. Our results demonstrated strong associations between the percentage of colluvial channel length within a catchment and moderated streamflow regimes, water temperatures, diurnal signals and depleted δ18O related to groundwater influx.
","language":"English","publisher":"Wiley","doi":"10.1002/hyp.10141","usgsCitation":"Weekes, A.A., Torgersen, C., Montgomery, D.R., Woodward, A., and Bolton, S.M., 2015, Hydrologic response to valley-scale structure in alpine headwaters: Hydrological Processes, v. 29, no. 3, p. 356-372, https://doi.org/10.1002/hyp.10141.","productDescription":"17 p.","startPage":"356","endPage":"372","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-052531","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":287280,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Washington","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -121.853059,46.707817 ], [ -121.853059,47.026358 ], [ -121.442875,47.026358 ], [ -121.442875,46.707817 ], [ -121.853059,46.707817 ] ] ] } } ] }","volume":"29","issue":"3","noUsgsAuthors":false,"publicationDate":"2014-02-17","publicationStatus":"PW","scienceBaseUri":"537b19d2e4b0929ba496ab35","contributors":{"authors":[{"text":"Weekes, Anne A.","contributorId":11870,"corporation":false,"usgs":true,"family":"Weekes","given":"Anne","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":493789,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Torgersen, Christian E. 0000-0001-8325-2737","orcid":"https://orcid.org/0000-0001-8325-2737","contributorId":48143,"corporation":false,"usgs":true,"family":"Torgersen","given":"Christian E.","affiliations":[],"preferred":false,"id":493790,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Montgomery, David R.","contributorId":67389,"corporation":false,"usgs":true,"family":"Montgomery","given":"David","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":493791,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Woodward, Andrea 0000-0003-0604-9115 awoodward@usgs.gov","orcid":"https://orcid.org/0000-0003-0604-9115","contributorId":3028,"corporation":false,"usgs":true,"family":"Woodward","given":"Andrea","email":"awoodward@usgs.gov","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true},{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true}],"preferred":true,"id":493788,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bolton, Susan M.","contributorId":76987,"corporation":false,"usgs":true,"family":"Bolton","given":"Susan","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":493792,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70115357,"text":"70115357 - 2015 - Change in agricultural land use constrains adaptation of national wildlife refuges to climate change","interactions":[],"lastModifiedDate":"2015-02-09T15:02:31","indexId":"70115357","displayToPublicDate":"2014-05-01T10:54:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1531,"text":"Environmental Conservation","active":true,"publicationSubtype":{"id":10}},"title":"Change in agricultural land use constrains adaptation of national wildlife refuges to climate change","docAbstract":"Land-use change around protected areas limits their ability to conserve biodiversity by altering ecological processes such as natural hydrologic and disturbance regimes, facilitating species invasions, and interfering with dispersal of organisms. This paper informs USA National Wildlife Refuge System conservation planning by predicting future land-use change on lands within 25 km distance of 461 refuges in the USA using an econometric model. The model contained two differing policy scenarios, namely a ‘business-as-usual’ scenario and a ‘pro-agriculture’ scenario. Regardless of scenario, by 2051, forest cover and urban land use were predicted to increase around refuges, while the extent of range and pasture was predicted to decrease; cropland use decreased under the business-as-usual scenario, but increased under the pro-agriculture scenario. Increasing agricultural land value under the pro-agriculture scenario slowed an expected increase in forest around refuges, and doubled the rate of range and pasture loss. Intensity of land-use change on lands surrounding refuges differed by regions. Regional differences among scenarios revealed that an understanding of regional and local land-use dynamics and management options was an essential requirement to effectively manage these conserved lands. Such knowledge is particularly important given the predicted need to adapt to a changing global climate.
","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Environmental Conservation","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Cambridge University Press","doi":"10.1017/S0376892914000174","usgsCitation":"Hamilton, C., Thogmartin, W.E., Radeloff, V., Plantinga, A.J., Heglund, P., Martinuzzi, S., and Pidgeon, A.M., 2015, Change in agricultural land use constrains adaptation of national wildlife refuges to climate change: Environmental Conservation, v. 42, no. 1, p. 12-19, https://doi.org/10.1017/S0376892914000174.","productDescription":"8 p.","startPage":"12","endPage":"19","numberOfPages":"8","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-053578","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":289369,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":289356,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1017/S0376892914000174"}],"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":"42","issue":"1","noUsgsAuthors":false,"publicationDate":"2014-05-22","publicationStatus":"PW","scienceBaseUri":"53b7b0c9e4b0388651d9166d","contributors":{"authors":[{"text":"Hamilton, Christopher M.","contributorId":27767,"corporation":false,"usgs":true,"family":"Hamilton","given":"Christopher M.","affiliations":[],"preferred":false,"id":495593,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Thogmartin, Wayne E. 0000-0002-2384-4279 wthogmartin@usgs.gov","orcid":"https://orcid.org/0000-0002-2384-4279","contributorId":2545,"corporation":false,"usgs":true,"family":"Thogmartin","given":"Wayne","email":"wthogmartin@usgs.gov","middleInitial":"E.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":495591,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Radeloff, Volker C.","contributorId":76169,"corporation":false,"usgs":true,"family":"Radeloff","given":"Volker C.","affiliations":[],"preferred":false,"id":495596,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Plantinga, Andrew J.","contributorId":75413,"corporation":false,"usgs":true,"family":"Plantinga","given":"Andrew","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":495595,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Heglund, Patricia J.","contributorId":51248,"corporation":false,"usgs":true,"family":"Heglund","given":"Patricia J.","affiliations":[],"preferred":false,"id":495594,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Martinuzzi, Sebastian","contributorId":17491,"corporation":false,"usgs":true,"family":"Martinuzzi","given":"Sebastian","affiliations":[],"preferred":false,"id":495592,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Pidgeon, Anna M.","contributorId":84243,"corporation":false,"usgs":true,"family":"Pidgeon","given":"Anna","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":495597,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70141792,"text":"70141792 - 2015 - Trend analyses with river sediment rating curves","interactions":[],"lastModifiedDate":"2015-03-02T10:00:11","indexId":"70141792","displayToPublicDate":"2014-04-25T10:15:00","publicationYear":"2015","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":"Trend analyses with river sediment rating curves","docAbstract":"Sediment rating curves, which are fitted relationships between river discharge (Q) and suspended-sediment concentration (C), are commonly used to assess patterns and trends in river water quality. In many of these studies it is assumed that rating curves have a power-law form (i.e., C = aQb, where a and b are fitted parameters). Two fundamental questions about the utility of these techniques are assessed in this paper: (i) How well to the parameters, a and b, characterize trends in the data? (ii) Are trends in rating curves diagnostic of changes to river water or sediment discharge? As noted in previous research, the offset parameter, a, is not an independent variable for most rivers, but rather strongly dependent on b and Q. Here it is shown that a is a poor metric for trends in the vertical offset of a rating curve, and a new parameter, â, as determined by the discharge-normalized power function [C = â (Q/QGM)b], where QGM is the geometric mean of the Q values sampled, provides a better characterization of trends. However, these techniques must be applied carefully, because curvature in the relationship between log(Q) and log(C), which exists for many rivers, can produce false trends in â and b. Also, it is shown that trends in â and b are not uniquely diagnostic of river water or sediment supply conditions. For example, an increase in â can be caused by an increase in sediment supply, a decrease in water supply, or a combination of these conditions. Large changes in water and sediment supplies can occur without any change in the parameters, â and b. Thus, trend analyses using sediment rating curves must include additional assessments of the time-dependent rates and trends of river water, sediment concentrations, and sediment discharge.
","language":"English","publisher":"Wiley Online Library","publisherLocation":"Chichester, Sussex, England","doi":"10.1002/hyp.10198","usgsCitation":"Warrick, J., 2015, Trend analyses with river sediment rating curves: Hydrological Processes, v. 29, no. 6, p. 936-949, https://doi.org/10.1002/hyp.10198.","productDescription":"14 p.","startPage":"936","endPage":"949","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-052344","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":488444,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/hyp.10198","text":"Publisher Index Page"},{"id":298087,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"29","issue":"6","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2014-04-25","publicationStatus":"PW","scienceBaseUri":"54ec5d49e4b02d776a67dab9","chorus":{"doi":"10.1002/hyp.10198","url":"http://dx.doi.org/10.1002/hyp.10198","publisher":"Wiley-Blackwell","authors":"Warrick Jonathan A.","journalName":"Hydrological Processes","publicationDate":"4/25/2014"},"contributors":{"authors":[{"text":"Warrick, Jonathan A. 0000-0002-0205-3814 jwarrick@usgs.gov","orcid":"https://orcid.org/0000-0002-0205-3814","contributorId":139314,"corporation":false,"usgs":true,"family":"Warrick","given":"Jonathan A.","email":"jwarrick@usgs.gov","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":541095,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70136228,"text":"70136228 - 2015 - Assessing stand water use in four coastal wetland forests using sapflow techniques: annual estimates, errors and associated uncertainties","interactions":[],"lastModifiedDate":"2015-01-09T13:22:06","indexId":"70136228","displayToPublicDate":"2014-01-01T00:00:00","publicationYear":"2015","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":"Assessing stand water use in four coastal wetland forests using sapflow techniques: annual estimates, errors and associated uncertainties","docAbstract":"Forests comprise approximately 37% of the terrestrial land surface and influence global water cycling. However, very little attention has been directed towards understanding environmental impacts on stand water use (S) or in identifying rates of S from specific forested wetlands. Here, we use sapflow techniques to address two separate but linked objectives: (1) determine S in four, hydrologically distinctive South Carolina (USA) wetland forests from 2009–2010 and (2) describe potential error, uncertainty and stand-level variation associated with these assessments. Sapflow measurements were made from a number of tree species for approximately 2–8 months over 2 years to initiate the model, which was applied to canopy trees (DBH > 10–20 cm). We determined that S in three healthy forested wetlands varied from 1.97–3.97 mm day−1 or 355–687 mm year−1 when scaled. In contrast, saltwater intrusion impacted individual tree physiology and size class distributions on a fourth site, which decreased S to 0.61–1.13 mm day−1 or 110–196 mm year−1. The primary sources of error in estimations using sapflow probes would relate to calibration of probes and standardization relative to no flow periods and accounting for accurate sapflow attenuation with radial depth into the sapwood by species and site. Such inherent variation in water use among wetland forest stands makes small differences in S (<200 mm year−1) difficult to detect statistically through modelling, even though small differences may be important to local water cycling. These data also represent some of the first assessments of S from temperate, coastal forested wetlands along the Atlantic coast of the USA.
","language":"English","publisher":"Wiley","doi":"10.1002/hyp.10130","usgsCitation":"Krauss, K.W., Duberstein, J., and Conner, W.H., 2015, Assessing stand water use in four coastal wetland forests using sapflow techniques: annual estimates, errors and associated uncertainties: Hydrological Processes, v. 29, no. 1, p. 112-127, https://doi.org/10.1002/hyp.10130.","productDescription":"16 p.","startPage":"112","endPage":"127","numberOfPages":"16","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-043270","costCenters":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"links":[{"id":297107,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"29","issue":"1","noUsgsAuthors":false,"publicationDate":"2014-01-22","publicationStatus":"PW","scienceBaseUri":"54dd2b3ce4b08de9379b32ba","contributors":{"authors":[{"text":"Krauss, Ken W. 0000-0003-2195-0729 kraussk@usgs.gov","orcid":"https://orcid.org/0000-0003-2195-0729","contributorId":2017,"corporation":false,"usgs":true,"family":"Krauss","given":"Ken","email":"kraussk@usgs.gov","middleInitial":"W.","affiliations":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":537215,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Duberstein, Jamie A.","contributorId":91007,"corporation":false,"usgs":false,"family":"Duberstein","given":"Jamie A.","affiliations":[{"id":7084,"text":"Clemson University","active":true,"usgs":false}],"preferred":false,"id":537216,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Conner, William H.","contributorId":79376,"corporation":false,"usgs":false,"family":"Conner","given":"William","email":"","middleInitial":"H.","affiliations":[{"id":7084,"text":"Clemson University","active":true,"usgs":false}],"preferred":false,"id":537217,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70159415,"text":"70159415 - 2015 - A 3400 year paleolimnological record of prehispanic human–environment interactions in the Holmul region of the southern Maya lowlands","interactions":[],"lastModifiedDate":"2019-12-11T15:56:30","indexId":"70159415","displayToPublicDate":"2013-06-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2996,"text":"Palaeogeography, Palaeoclimatology, Palaeoecology","printIssn":"0031-0182","active":true,"publicationSubtype":{"id":10}},"title":"A 3400 year paleolimnological record of prehispanic human–environment interactions in the Holmul region of the southern Maya lowlands","docAbstract":"The timing, magnitude and drivers of late Holocene environmental change in the Holmul region of the southern Maya lowlands are examined by combining paleoenvironmental and archeological data. Environmental proxy analyses on a ~ 3350 cal yr lacustrine sediment record include pollen, charcoal, loss on ignition, magnetic suscep- tibility, and elemental geochemistry. Archeological evidence is derived from extensive settlement surveys conducted near the study site. Results indicate nearby settlement and agricultural activity taking place in an environment characterized by open forest from around 3350 to 950 cal yr BP. The fire history shows a dramatic increase in burning during the Classic period, possibly reflecting changing agricultural strategies. A distinct band of carbonate deposited from 1270 to 1040 cal yr BP suggests decreased hydrologic input associated with drier conditions. Abrupt changes in proxy data around 940 cal yr BP indicate a cessation of human disturbance and local abandonment of the area.
","language":"English","publisher":"Palaeogeography, Palaeoclimatology, Palaeoecology","doi":"10.1016/j.palaeo.2013.03.006","usgsCitation":"Wahl, D.B., Estrada-Belli, F., and Anderson, L., 2015, A 3400 year paleolimnological record of prehispanic human–environment interactions in the Holmul region of the southern Maya lowlands: Palaeogeography, Palaeoclimatology, Palaeoecology, v. 379-380, p. 17-31, https://doi.org/10.1016/j.palaeo.2013.03.006.","productDescription":"15 p.","startPage":"17","endPage":"31","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-044312","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":310758,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Guatemala","state":"Peten","otherGeospatial":"Holmul region","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -89.49737548828124,\n 16.219949175712056\n ],\n [\n -89.20623779296875,\n 16.219949175712056\n ],\n [\n -89.20623779296875,\n 16.673030952138866\n ],\n [\n -89.49737548828124,\n 16.673030952138866\n ],\n [\n -89.49737548828124,\n 16.219949175712056\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"379-380","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5633432be4b048076347eead","contributors":{"authors":[{"text":"Wahl, David B. 0000-0002-0451-3554 dwahl@usgs.gov","orcid":"https://orcid.org/0000-0002-0451-3554","contributorId":3433,"corporation":false,"usgs":true,"family":"Wahl","given":"David","email":"dwahl@usgs.gov","middleInitial":"B.","affiliations":[{"id":24693,"text":"Climate Research and Development","active":true,"usgs":true},{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":578491,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Estrada-Belli, Francisco","contributorId":149456,"corporation":false,"usgs":false,"family":"Estrada-Belli","given":"Francisco","email":"","affiliations":[{"id":13500,"text":"Tulane University","active":true,"usgs":false}],"preferred":false,"id":578492,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Anderson, Lysanna 0000-0001-5650-9744 landerson@usgs.gov","orcid":"https://orcid.org/0000-0001-5650-9744","contributorId":5339,"corporation":false,"usgs":true,"family":"Anderson","given":"Lysanna","email":"landerson@usgs.gov","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":578493,"contributorType":{"id":1,"text":"Authors"},"rank":12}]}} ,{"id":70160574,"text":"70160574 - 2015 - Estimating evapotranspiration and groundwater flow from water-table fluctuations for a general wetland scenario","interactions":[],"lastModifiedDate":"2015-12-23T10:43:19","indexId":"70160574","displayToPublicDate":"2013-01-07T11:45:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1447,"text":"Ecohydrology","active":true,"publicationSubtype":{"id":10}},"title":"Estimating evapotranspiration and groundwater flow from water-table fluctuations for a general wetland scenario","docAbstract":"The use of diurnal water-table fluctuation methods to calculate evapotranspiration (ET) and groundwater flow is of increasing interest in ecohydrological studies. Most studies of this type, however, have been located in riparian wetlands of semi-arid regions where groundwater levels are consistently below topographic surface elevations and precipitation events are infrequent. Current methodologies preclude application to a wider variety of wetland systems. In this study, we extended a method for estimating sub-daily ET and groundwater flow rates from water-level fluctuations to fit highly dynamic, non-riparian wetland scenarios. Modifications included (1) varying the specific yield to account for periodic flooded conditions and (2) relating empirically derived ET to estimated potential ET for days when precipitation events masked the diurnal signal. To demonstrate the utility of this method, we estimated ET and groundwater fluxes over two growing seasons (2006–2007) in 15 wetlands within a ridge-and-swale wetland complex of the Laurentian Great Lakes under flooded and non-flooded conditions. Mean daily ET rates for the sites ranged from 4.0 mm d−1 to 6.6 mm d−1. Shallow groundwater discharge rates resulting from evaporative demand ranged from 2.5 mm d−1 to 4.3 mm d−1. This study helps to expand our understanding of the evapotranspirative demand of plants under various hydrologic and climate conditions.
","language":"English","publisher":"Wiley-Blackwell","publisherLocation":"Chilchester, UK","doi":"10.1002/eco.1356","usgsCitation":"Carlson Mazur, M.L., Michael J. Wiley, and Douglas A. Wilcox, 2015, Estimating evapotranspiration and groundwater flow from water-table fluctuations for a general wetland scenario: Ecohydrology, v. 7, no. 2, p. 378-390, https://doi.org/10.1002/eco.1356.","productDescription":"13 p.","startPage":"378","endPage":"390","numberOfPages":"13","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-039002","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":472490,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://hdl.handle.net/2027.42/106891","text":"External Repository"},{"id":312789,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Michigan","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -83.34537506103516,\n 44.84613295361055\n ],\n [\n -83.34537506103516,\n 44.862926272208234\n ],\n [\n -83.31516265869139,\n 44.862926272208234\n ],\n [\n -83.31516265869139,\n 44.84613295361055\n ],\n [\n -83.34537506103516,\n 44.84613295361055\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"7","issue":"2","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationDate":"2013-01-07","publicationStatus":"PW","scienceBaseUri":"567bd3bbe4b0a04ef491a1f7","contributors":{"authors":[{"text":"Carlson Mazur, Martha L.","contributorId":95377,"corporation":false,"usgs":true,"family":"Carlson Mazur","given":"Martha","email":"","middleInitial":"L.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":false,"id":583175,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Michael J. Wiley","contributorId":150828,"corporation":false,"usgs":false,"family":"Michael J. Wiley","affiliations":[{"id":18114,"text":"Dept. of Natural Resources & Environment, University of Michigan","active":true,"usgs":false}],"preferred":false,"id":583177,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Douglas A. Wilcox","contributorId":150827,"corporation":false,"usgs":false,"family":"Douglas A. Wilcox","affiliations":[{"id":18113,"text":"Dept. of Environmental Science & Bio, SUNY-College, Brockport","active":true,"usgs":false}],"preferred":false,"id":583176,"contributorType":{"id":1,"text":"Authors"},"rank":12}]}} ,{"id":70041580,"text":"70041580 - 2015 - Limnology of the Green Lakes Valley: Phytoplankton ecology and dissolved organic matter biogeochemistry at a long-term ecological research site","interactions":[],"lastModifiedDate":"2018-02-21T17:40:30","indexId":"70041580","displayToPublicDate":"2012-12-08T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3087,"text":"Plant Ecology and Diversity","active":true,"publicationSubtype":{"id":10}},"title":"Limnology of the Green Lakes Valley: Phytoplankton ecology and dissolved organic matter biogeochemistry at a long-term ecological research site","docAbstract":"Background: Surface waters are the lowest points in the landscape, and therefore serve as excellent integrators and indicators of changes taking place in the surrounding terrestrial and atmospheric environment.
Aims: Here we synthesise the findings of limnological studies conducted during the past 15 years in streams and lakes in the Green Lakes Valley, which is part of the Niwot Ridge Long-term Ecological Research (LTER) Site.
Methods: The importance of these studies is discussed in the context of aquatic ecosystems as indicators, integrators, and regulators of environmental change. Specifically, investigations into climatic, hydrologic, and nutrient controls on present-day phytoplankton, and historical diatom, community composition in the alpine lake, Green Lake 4, are reviewed. In addition, studies of spatial and temporal patterns in dissolved organic matter (DOM) biogeochemistry and reactive transport modelling that have taken place in the Green Lakes Valley are highlighted.
Results and conclusions: The findings of these studies identify specific shifts in algal community composition and DOM biogeochemistry that are indicative of changing environmental conditions and provide a framework for detecting future environmental change in the Green Lakes Valley and in other alpine watersheds. Moreover, the studies summarised here demonstrate the importance of long-term monitoring programmes such as the LTER programme.
","language":"English","publisher":"Taylor & Francis","publisherLocation":"Philadelphia, PA","doi":"10.1080/17550874.2012.738255","usgsCitation":"Miller, M.P., and McKnight, D.M., 2015, Limnology of the Green Lakes Valley: Phytoplankton ecology and dissolved organic matter biogeochemistry at a long-term ecological research site: Plant Ecology and Diversity, v. 8, no. 5-6, p. 689-702, https://doi.org/10.1080/17550874.2012.738255.","productDescription":"14 p.","startPage":"689","endPage":"702","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-031288","costCenters":[{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true}],"links":[{"id":263885,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Colorado","city":"Boulder","otherGeospatial":"Green Lakes Valley","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -105.301758,39.964069 ], [ -105.301758,40.094551 ], [ -105.178197,40.094551 ], [ -105.178197,39.964069 ], [ -105.301758,39.964069 ] ] ] } } ] }","volume":"8","issue":"5-6","noUsgsAuthors":false,"publicationDate":"2012-12-03","publicationStatus":"PW","scienceBaseUri":"50c4618fe4b0e44331d07170","contributors":{"authors":[{"text":"Miller, Matthew P. 0000-0002-2537-1823 mamiller@usgs.gov","orcid":"https://orcid.org/0000-0002-2537-1823","contributorId":3919,"corporation":false,"usgs":true,"family":"Miller","given":"Matthew","email":"mamiller@usgs.gov","middleInitial":"P.","affiliations":[{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true}],"preferred":true,"id":469939,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McKnight, Diane M.","contributorId":59773,"corporation":false,"usgs":false,"family":"McKnight","given":"Diane","email":"","middleInitial":"M.","affiliations":[{"id":16833,"text":"INSTAAR, University of Colorado","active":true,"usgs":false}],"preferred":false,"id":469940,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70147052,"text":"70147052 - 2015 - Hindcast of water availability in regional aquifer systems using MODFLOW Farm Process","interactions":[],"lastModifiedDate":"2017-06-12T10:37:13","indexId":"70147052","displayToPublicDate":"2008-12-31T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Hindcast of water availability in regional aquifer systems using MODFLOW Farm Process","docAbstract":"Coupled groundwater and surface-water components of the hydrologic cycle can be simulated by the Farm Process for MODFLOW (MF-FMP) in both irrigated and non-irrigated areas and aquifer-storage and recovery systems. MF-FMP is being applied to three productive agricultural regions of different scale in the State of California, USA, to assess the availability of water and the impacts of alternative management decisions. Hindcast simulations are conducted for similar periods from the 1960s to near recent times. Historical groundwater pumpage is mostly unknown in one region (Central Valley) and is estimated by MF-FMP. In another region (Pajaro Valley), recorded pumpage is used to calibrate model-estimated pumpage. Multiple types of observations are used to estimate uncertain parameters, such as hydraulic, land-use, and farm properties. MF-FMP simulates how climate variability and water-import availability affect water demand and supply. MF-FMP can be used to predict water availability based on anticipated changes in anthropogenic or natural water demands.\r\nKeywords groundwater; surface-water; irrigation; water availability; response to climate variability/change","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Predictions for hydrology, ecology, and water resources management: Using data and models to benefit society","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"HydroPredict 2008","conferenceDate":"September 15–18, 2008","conferenceLocation":"Prague, Czech Republic","language":"English","publisher":" Czech Association of Hydrogeologists","usgsCitation":"Schmid, W., Hanson, R.T., Faunt, C., and Phillips, S.P., 2015, Hindcast of water availability in regional aquifer systems using MODFLOW Farm Process, in Predictions for hydrology, ecology, and water resources management: Using data and models to benefit society, Prague, Czech Republic, September 15–18, 2008, p. 311-314.","productDescription":"4 p.","startPage":"311","endPage":"314","ipdsId":"IP-006401","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":299883,"type":{"id":15,"text":"Index Page"},"url":"https://web.natur.cuni.cz/hydropredict2008/"},{"id":342369,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"593fa839e4b0764e6c62799d","contributors":{"authors":[{"text":"Schmid, Wolfgang","contributorId":140408,"corporation":false,"usgs":false,"family":"Schmid","given":"Wolfgang","email":"","affiliations":[{"id":6624,"text":"University of Arizona, Laboratory of Tree-Ring Research","active":true,"usgs":false}],"preferred":false,"id":545603,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hanson, Randall T. 0000-0002-9819-7141 rthanson@usgs.gov","orcid":"https://orcid.org/0000-0002-9819-7141","contributorId":801,"corporation":false,"usgs":true,"family":"Hanson","given":"Randall","email":"rthanson@usgs.gov","middleInitial":"T.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":545601,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Faunt, Claudia C. 0000-0001-5659-7529 ccfaunt@usgs.gov","orcid":"https://orcid.org/0000-0001-5659-7529","contributorId":1491,"corporation":false,"usgs":true,"family":"Faunt","given":"Claudia C.","email":"ccfaunt@usgs.gov","affiliations":[{"id":595,"text":"U.S. Geological Survey","active":false,"usgs":true}],"preferred":false,"id":545600,"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":545602,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70156076,"text":"70156076 - 2015 - Forecasting the combined effects of urbanization and climate change on stream ecosystems: from impacts to management options","interactions":[],"lastModifiedDate":"2015-08-14T15:57:21","indexId":"70156076","displayToPublicDate":"2008-11-05T01:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2163,"text":"Journal of Applied Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Forecasting the combined effects of urbanization and climate change on stream ecosystems: from impacts to management options","docAbstract":"Streams collect runoff, heat, and sediment from their watersheds, making them highly vulnerable to anthropogenic disturbances such as urbanization and climate change. Forecasting the effects of these disturbances using process-based models is critical to identifying the form and magnitude of likely impacts. Here, we integrate a new biotic model with four previously developed physical models (downscaled climate projections, stream hydrology, geomorphology, and water temperature) to predict how stream fish growth and reproduction will most probably respond to shifts in climate and urbanization over the next several decades.
\nThe biotic submodel couples dynamics in fish populations and habitat suitability to predict fish assemblage composition, based on readily available biotic information (preferences for habitat, temperature, and food, and characteristics of spawning) and day-to-day variability in stream conditions.
\nWe illustrate the model using Piedmont headwater streams in the Chesapeake Bay watershed of the USA, projecting ten scenarios: Baseline (low urbanization; no on-going construction; and present-day climate); one Urbanization scenario (higher impervious surface, lower forest cover, significant construction activity); four future climate change scenarios [Hadley CM3 and Parallel Climate Models under medium-high (A2) and medium-low (B2) emissions scenarios]; and the same four climate change scenarios plus Urbanization.
\nUrbanization alone depressed growth or reproduction of 8 of 39 species, while climate change alone depressed 22 to 29 species. Almost every recreationally important species (i.e. trouts, basses, sunfishes) and six of the ten currently most common species were predicted to be significantly stressed. The combined effect of climate change and urbanization on adult growth was sometimes large compared to the effect of either stressor alone. Thus, the model predicts considerable change in fish assemblage composition, including loss of diversity.Synthesis and applications. The interaction of climate change and urban growth may entail significant reconfiguring of headwater streams, including a loss of ecosystem structure and services, which will be more costly than climate change alone. On local scales, stakeholders cannot control climate drivers but they can mitigate stream impacts via careful land use. Therefore, to conserve stream ecosystems, we recommend that proactive measures be taken to insure against species loss or severe population declines. Delays will inevitably exacerbate the impacts of both climate change and urbanization on headwater systems.
\n","language":"English","publisher":"British Ecological Society","doi":"10.1111/j.1365-2664.2008.01599.x","usgsCitation":"Nelson, K.C., Palmer, M., Pizzuto, J.E., Moglen, G.E., Angermeier, P.L., Hilderbrand, R.H., Dettinger, M., and Hayhoe, K., 2015, Forecasting the combined effects of urbanization and climate change on stream ecosystems: from impacts to management options: Journal of Applied Ecology, v. 46, no. 1, p. 154-163, https://doi.org/10.1111/j.1365-2664.2008.01599.x.","productDescription":"10 p.","startPage":"154","endPage":"163","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-008736","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":472492,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/j.1365-2664.2008.01599.x","text":"Publisher Index Page"},{"id":306767,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"46","issue":"1","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2009-01-14","publicationStatus":"PW","scienceBaseUri":"55cf112ae4b01487cbfc77b8","contributors":{"authors":[{"text":"Nelson, Karen C.","contributorId":32864,"corporation":false,"usgs":false,"family":"Nelson","given":"Karen","email":"","middleInitial":"C.","affiliations":[{"id":7083,"text":"University of Maryland","active":true,"usgs":false}],"preferred":false,"id":568190,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Palmer, Margaret A.","contributorId":102429,"corporation":false,"usgs":false,"family":"Palmer","given":"Margaret A.","affiliations":[{"id":13383,"text":"University of Maryland Center for Environmental Science, Chesapeake Biological Laboratory, 6 Solomons, Maryland 20688","active":true,"usgs":false}],"preferred":false,"id":568191,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Pizzuto, James E.","contributorId":49424,"corporation":false,"usgs":false,"family":"Pizzuto","given":"James","email":"","middleInitial":"E.","affiliations":[{"id":13220,"text":"The Charles E. Via, Jr. Department of Civil and Environmental Engineering, Virginia Polytechnic Institute and State University","active":true,"usgs":false}],"preferred":false,"id":568192,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Moglen, Glenn E.","contributorId":106585,"corporation":false,"usgs":false,"family":"Moglen","given":"Glenn","email":"","middleInitial":"E.","affiliations":[{"id":13220,"text":"The Charles E. Via, Jr. Department of Civil and Environmental Engineering, Virginia Polytechnic Institute and State University","active":true,"usgs":false}],"preferred":false,"id":568193,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Angermeier, Paul L. biota@usgs.gov","contributorId":1432,"corporation":false,"usgs":true,"family":"Angermeier","given":"Paul","email":"biota@usgs.gov","middleInitial":"L.","affiliations":[{"id":613,"text":"Virginia Cooperative Fish and Wildlife Research Unit","active":false,"usgs":true}],"preferred":false,"id":567828,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hilderbrand, Robert H.","contributorId":140410,"corporation":false,"usgs":false,"family":"Hilderbrand","given":"Robert","email":"","middleInitial":"H.","affiliations":[{"id":13480,"text":"University of Maryland Center for Environmental Science, Appalachian Laboratory, 301 Braddock Road, Frostburg, Maryland","active":true,"usgs":false}],"preferred":false,"id":568194,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Dettinger, Mike 0000-0002-7509-7332 mddettin@usgs.gov","orcid":"https://orcid.org/0000-0002-7509-7332","contributorId":859,"corporation":false,"usgs":true,"family":"Dettinger","given":"Mike","email":"mddettin@usgs.gov","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":false,"id":568195,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"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":568196,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70201192,"text":"ofr20131024 - 2014 - Geology and geophysics applied to groundwater hydrology at Fort Irwin, California","interactions":[{"subject":{"id":70055657,"text":"ofr20131024F - 2014 - Time-domain electromagnetic surveys at Fort Irwin, San Bernardino County, California, 2010–12","indexId":"ofr20131024F","publicationYear":"2014","noYear":false,"chapter":"F","displayTitle":"Time-Domain Electromagnetic Surveys at Fort Irwin, San Bernardino County, California, 2010–12","title":"Time-domain electromagnetic surveys at Fort Irwin, San Bernardino County, California, 2010–12"},"predicate":"IS_PART_OF","object":{"id":70201192,"text":"ofr20131024 - 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2014 - Generalized surficial geologic map of the Fort Irwin Area, San Bernardino County, California","indexId":"ofr20131024B","publicationYear":"2014","noYear":false,"chapter":"B","displayTitle":"Generalized Surficial Geologic Map of the Fort Irwin Area, San Bernardino County, California","title":"Generalized surficial geologic map of the Fort Irwin Area, San Bernardino County, California"},"predicate":"IS_PART_OF","object":{"id":70201192,"text":"ofr20131024 - 2014 - Geology and geophysics applied to groundwater hydrology at Fort Irwin, California","indexId":"ofr20131024","publicationYear":"2014","noYear":false,"title":"Geology and geophysics applied to groundwater hydrology at Fort Irwin, California"},"id":3},{"subject":{"id":70133886,"text":"ofr20131024I - 2014 - Aeromagnetic data, processing, and maps of Fort Irwin and vicinity, California","indexId":"ofr20131024I","publicationYear":"2014","noYear":false,"chapter":"I","displayTitle":"Aeromagnetic Data, Processing, and Maps of Fort Irwin and Vicinity, California","title":"Aeromagnetic data, processing, and maps of Fort Irwin and vicinity, California"},"predicate":"IS_PART_OF","object":{"id":70201192,"text":"ofr20131024 - 2014 - Geology and geophysics applied to groundwater hydrology at Fort Irwin, California","indexId":"ofr20131024","publicationYear":"2014","noYear":false,"title":"Geology and geophysics applied to groundwater hydrology at Fort Irwin, California"},"id":4},{"subject":{"id":70133887,"text":"ofr20131024A - 2014 - Introduction to the geologic and geophysical studies of Fort Irwin, California","indexId":"ofr20131024A","publicationYear":"2014","noYear":false,"chapter":"A","displayTitle":"Introduction to the Geologic and Geophysical Studies of Fort Irwin, California","title":"Introduction to the geologic and geophysical studies of Fort Irwin, California"},"predicate":"IS_PART_OF","object":{"id":70201192,"text":"ofr20131024 - 2014 - Geology and geophysics applied to groundwater hydrology at Fort Irwin, California","indexId":"ofr20131024","publicationYear":"2014","noYear":false,"title":"Geology and geophysics applied to groundwater hydrology at Fort Irwin, California"},"id":5},{"subject":{"id":70135683,"text":"ofr20131024G - 2014 - Airborne electromagnetic data and processing within Leach Lake Basin, Fort Irwin, California","indexId":"ofr20131024G","publicationYear":"2014","noYear":false,"chapter":"G","displayTitle":"Airborne Electromagnetic Data and Processing within Leach Lake Basin, Fort Irwin, California","title":"Airborne electromagnetic data and processing within Leach Lake Basin, Fort Irwin, California"},"predicate":"IS_PART_OF","object":{"id":70201192,"text":"ofr20131024 - 2014 - Geology and geophysics applied to groundwater hydrology at Fort Irwin, California","indexId":"ofr20131024","publicationYear":"2014","noYear":false,"title":"Geology and geophysics applied to groundwater hydrology at Fort Irwin, California"},"id":6},{"subject":{"id":70142156,"text":"ofr20131024E - 2015 - Laboratory electrical resistivity analysis of geologic samples from Fort Irwin, California","indexId":"ofr20131024E","publicationYear":"2015","noYear":false,"chapter":"E","displayTitle":"Laboratory Electrical Resistivity Analysis of Geologic Samples from Fort Irwin, California","title":"Laboratory electrical resistivity analysis of geologic samples from Fort Irwin, California"},"predicate":"IS_PART_OF","object":{"id":70201192,"text":"ofr20131024 - 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2014 - Geology and geophysics applied to groundwater hydrology at Fort Irwin, California","indexId":"ofr20131024","publicationYear":"2014","noYear":false,"title":"Geology and geophysics applied to groundwater hydrology at Fort Irwin, California"},"id":9}],"lastModifiedDate":"2019-06-11T12:41:18","indexId":"ofr20131024","displayToPublicDate":"2018-12-13T14:29:18","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2013-1024","displayTitle":"Geology and Geophysics Applied to Groundwater Hydrology at Fort Irwin, California","title":"Geology and geophysics applied to groundwater hydrology at Fort Irwin, California","docAbstract":"
Geologic and geophysical investigations in the vicinity of Fort Irwin National Training Center, California, have been completed in support of groundwater investigations, and are presented in eight chapters of this report. A generalized surficial geologic map along with field and borehole investigations conducted during 2010–11 provide a lithostratigraphic and structural framework for the area during the Cenozoic. Electromagnetic properties of resistivity were measured in the laboratory on hand and core samples, and compared to borehole geophysical resistivity data. These data were used in conjunction with ground-based time-domain and airborne data and interpretations to provide a framework for the shallow lithologic units and structure. Gravity and aeromagnetic maps cover areas ~4 to 5 times that of Fort Irwin. Each chapter includes hydrogeologic applications of the data or model results.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20131024","collaboration":"Prepared in cooperation with the U.S. Army, Fort Irwin National Training Center","usgsCitation":"Buesch, D.C., ed., Geology and geophysics applied to groundwater hydrology at Fort Irwin, California: U.S. Geological Survey Open-file Report 2013–1024, 2 p., https://doi.org/10.3133/ofr20131024.","productDescription":"9 Chapters","onlineOnly":"Y","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":359949,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2013/1024/ofr2013-1024_cover.pdf","text":"Cover image","size":"1.2 MB","linkFileType":{"id":1,"text":"pdf"}},{"id":359948,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2013/1024/coverthb.jpg"}],"contact":"Contact Information,
Geology, Minerals, Energy, & Geophysics Science Center—Menlo Park
U.S. Geological Survey
345 Middlefield Road
Menlo Park, CA 94025-3591
Between 2010 and 2012, a total of 79 time-domain electromagnetic (TEM) soundings were collected in 12 groundwater basins in the U.S. Army Fort Irwin National Training Center (NTC) study area to help improve the understanding of the hydrogeology of the NTC. The TEM data are discussed in this chapter in the context of geologic observations of the study area, the details of which are provided in the other chapters of this volume. Selection of locations for TEM soundings in unexplored basins was guided by gravity data that estimated depth to pre-Tertiary basement complex of crystalline rock and alluvial thickness. Some TEM data were collected near boreholes with geophysical logs. The TEM response at locations near boreholes was used to evaluate sounding data for areas without boreholes. TEM models also were used to guide site selection of subsequent boreholes drilled as part of this study. Following borehole completion, geophysical logs were used to ground-truth and reinterpret previously collected TEM data. This iterative process was used to site subsequent TEM soundings and borehole locations as the study progressed. Although each groundwater subbasin within the NTC boundaries was explored using the TEM method, collection of TEM data was focused in those basins identified as best suited for development of water resources. At the NTC, TEM estimates of some lithologic thicknesses and electrical properties in the unsaturated zone are in good accordance with borehole data; however, water-table elevations were not easily identifiable from TEM data.
","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"Geology and geophysics applied to groundwater hydrology at Fort Irwin, California","largerWorkSubtype":{"id":5,"text":"USGS Numbered Series"},"language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20131024F","collaboration":"Prepared in cooperation with the U.S. Army, Fort Irwin National Training Center","usgsCitation":"Burgess, M.K., and Bedrosian, P.A., 2014, Time-domain electromagnetic surveys at Fort Irwin, San Bernardino County, California, 2010–12, chap. F of Buesch, D.C., ed., Geology and geophysics applied to groundwater hydrology at Fort Irwin, California: U.S. Geological Survey Open-File Report 2013–1024, 64 p., https://doi.org/10.3133/ofr20131024F.","productDescription":"Report: v, 64 p.","numberOfPages":"69","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-044319","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":296420,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2013/1024/f/images/coverthb.jpg"},{"id":296367,"rank":1,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2013/1024/f/downloads/ofr2013-1024_f.pdf","text":"Report","size":"6.8 MB","linkFileType":{"id":1,"text":"pdf"}}],"country":"United States","state":"California","county":"San Bernardino County","city":"Fort Irwin","contact":"Contact Information,
Geology, Minerals, Energy, & Geophysics Science Center—Menlo Park
U.S. Geological Survey
345 Middlefield Road
Menlo Park, CA 94025-3591
To quantify chemical weathering and biological uptake, mass-balance calculations were performed on two small forested watersheds located in the Blue Ridge Physiographic Province in north-central Maryland, USA. Both watersheds, Bear Branch (BB) and Fishing Creek Tributary (FCT), are underlain by relatively unreactive quartzite bedrock. Such unreactive bedrock and associated low chemical-weathering rates offer the opportunity to quantify biological processes operating within the watershed. Hydrologic and stream-water chemistry data were collected from the two watersheds for the 9-year period from June 1, 1990 to May 31, 1999. Of the two watersheds, FCT exhibited both higher chemical-weathering rates and biomass nutrient uptake rates, suggesting that forest biomass aggradation was limited by the rate of chemical weathering of the bedrock. Although the chemical-weathering rate in the FCT watershed was low relative to the global average, it masked the influence of biomass base-cation uptake on stream-water chemistry. Any differences in bedrock mineralogy between the two watersheds did not exert a significant influence on the overall weathering stoichiometry. The difference in chemical-weathering rates between the two watersheds is best explained by a larger proportion of reactive phyllitic layers within the bedrock of the FCT watershed. Although the stream gradient of BB is about two-times greater than that of FCT, its influence on chemical weathering appears to be negligible. The findings of this study support the biomass nutrient uptake stoichiometry of K1.0Mg1.1Ca0.97 previously determined for the study site. Investigations of the chemical weathering of relatively unreactive quartzite bedrock may provide insight into critical zone processes.
","language":"English","publisher":"Springer","doi":"10.1007/s10498-013-9205-8","usgsCitation":"Rice, K.C., and Price, J.R., 2014, Comparison of mineral weathering and biomass nutrient uptake in two small forested watersheds underlain by quartzite bedrock, Catoctin Mountain, Maryland, USA: Aquatic Geochemistry, v. 20, no. 2, p. 225-242, https://doi.org/10.1007/s10498-013-9205-8.","productDescription":"18 p.","startPage":"225","endPage":"242","ipdsId":"IP-043877","costCenters":[{"id":614,"text":"Virginia Water Science Center","active":true,"usgs":true}],"links":[{"id":333125,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Maryland","county":"Frederick","otherGeospatial":"Catoctin Mountain","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -77.50957489013672,\n 39.525494363862606\n ],\n [\n -77.50957489013672,\n 39.67019926771586\n ],\n [\n -77.37361907958984,\n 39.67019926771586\n ],\n [\n -77.37361907958984,\n 39.525494363862606\n ],\n [\n -77.50957489013672,\n 39.525494363862606\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"20","issue":"2","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationDate":"2013-09-07","publicationStatus":"PW","scienceBaseUri":"5878a48de4b04df303d9581c","contributors":{"authors":[{"text":"Rice, Karen C. 0000-0002-9356-5443 kcrice@usgs.gov","orcid":"https://orcid.org/0000-0002-9356-5443","contributorId":178269,"corporation":false,"usgs":true,"family":"Rice","given":"Karen","email":"kcrice@usgs.gov","middleInitial":"C.","affiliations":[{"id":37280,"text":"Virginia and West Virginia Water Science Center ","active":true,"usgs":true}],"preferred":true,"id":658360,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Price, Jason R.","contributorId":178278,"corporation":false,"usgs":false,"family":"Price","given":"Jason","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":658361,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70169946,"text":"70169946 - 2014 - Collaborative modelling and integrated decision support system analysis of a developed terminal lake basin","interactions":[],"lastModifiedDate":"2016-03-31T13:37:07","indexId":"70169946","displayToPublicDate":"2016-03-31T09:30:00","publicationYear":"2014","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":"Collaborative modelling and integrated decision support system analysis of a developed terminal lake basin","docAbstract":"A terminal lake basin in west-central Nevada, Walker Lake, has undergone drastic change over the past 90 yrs due to upstream water use for agriculture. Decreased inflows to the lake have resulted in 100 km2 decrease in lake surface area and a total loss of fisheries due to salinization. The ecologic health of Walker Lake is of great concern as the lake is a stopover point on the Pacific route for migratory birds from within and outside the United States. Stakeholders, water institutions, and scientists have engaged in collaborative modeling and the development of a decision support system that is being used to develop and analyze management change options to restore the lake. Here we use an integrated management and hydrologic model that relies on state-of-the-art simulation capabilities to evaluate the benefits of using integrated hydrologic models as components of a decision support system. Nonlinear feedbacks among climate, surface-water and groundwater exchanges, and water use present challenges for simulating realistic outcomes associated with management change. Integrated management and hydrologic modeling provides a means of simulating benefits associated with management change in the Walker River basin where drastic changes in the hydrologic landscape have taken place over the last century. Through the collaborative modeling process, stakeholder support is increasing and possibly leading to management change options that result in reductions in Walker Lake salt concentrations, as simulated by the decision support system.
","language":"English","doi":"10.1016/j.jhydrol.2014.05.043","collaboration":"Bureau of Reclamation","usgsCitation":"Niswonger, R.G., Allander, K.K., and Jeton, A.E., 2014, Collaborative modelling and integrated decision support system analysis of a developed terminal lake basin: Journal of Hydrology, v. 517, p. 521-537, https://doi.org/10.1016/j.jhydrol.2014.05.043.","productDescription":"17 p.","startPage":"521","endPage":"537","numberOfPages":"17","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-052113","costCenters":[{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true}],"links":[{"id":319667,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Nevada","otherGeospatial":"Walker Lake","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -118.2403564453125,\n 38.30071455572194\n ],\n [\n -118.2403564453125,\n 38.30071455572194\n ],\n [\n -118.2403564453125,\n 38.30071455572194\n ],\n [\n -118.2403564453125,\n 38.30071455572194\n ]\n ]\n ]\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -119.5806884765625,\n 38.27053224010455\n ],\n [\n -119.5806884765625,\n 39.13432124527173\n ],\n [\n -118.28979492187499,\n 39.13432124527173\n ],\n [\n -118.28979492187499,\n 38.27053224010455\n ],\n [\n -119.5806884765625,\n 38.27053224010455\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"517","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"56fe3c22e4b075ab2b2aa095","contributors":{"authors":[{"text":"Niswonger, Richard G. 0000-0001-6397-2403 rniswon@usgs.gov","orcid":"https://orcid.org/0000-0001-6397-2403","contributorId":152462,"corporation":false,"usgs":true,"family":"Niswonger","given":"Richard","email":"rniswon@usgs.gov","middleInitial":"G.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":false,"id":625691,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Allander, Kip K. 0000-0002-3317-298X kalland@usgs.gov","orcid":"https://orcid.org/0000-0002-3317-298X","contributorId":2290,"corporation":false,"usgs":true,"family":"Allander","given":"Kip","email":"kalland@usgs.gov","middleInitial":"K.","affiliations":[{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true}],"preferred":true,"id":625692,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Jeton, Anne E.","contributorId":45351,"corporation":false,"usgs":true,"family":"Jeton","given":"Anne","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":625693,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70173949,"text":"70173949 - 2014 - Prevalence of pure versus mixed snow cover pixels across spatial resolutions in alpine environments: implications for binary and fractional remote sensing approaches","interactions":[],"lastModifiedDate":"2016-06-20T10:22:54","indexId":"70173949","displayToPublicDate":"2016-01-19T07:45:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3250,"text":"Remote Sensing","active":true,"publicationSubtype":{"id":10}},"title":"Prevalence of pure versus mixed snow cover pixels across spatial resolutions in alpine environments: implications for binary and fractional remote sensing approaches","docAbstract":"Remote sensing of snow-covered area (SCA) can be binary (indicating the presence/absence of snow cover at each pixel) or fractional (indicating the fraction of each pixel covered by snow). Fractional SCA mapping provides more information than binary SCA, but is more difficult to implement and may not be feasible with all types of remote sensing data. The utility of fractional SCA mapping relative to binary SCA mapping varies with the intended application as well as by spatial resolution, temporal resolution and period of interest, and climate. We quantified the frequency of occurrence of partially snow-covered (mixed) pixels at spatial resolutions between 1 m and 500 m over five dates at two study areas in the western U.S., using 0.5 m binary SCA maps derived from high spatial resolution imagery aggregated to fractional SCA at coarser spatial resolutions. In addition, we used in situ monitoring to estimate the frequency of partially snow-covered conditions for the period September 2013–August 2014 at 10 60-m grid cell footprints at two study areas with continental snow climates. Results from the image analysis indicate that at 40 m, slightly above the nominal spatial resolution of Landsat, mixed pixels accounted for 25%–93% of total pixels, while at 500 m, the nominal spatial resolution of MODIS bands used for snow cover mapping, mixed pixels accounted for 67%–100% of total pixels. Mixed pixels occurred more commonly at the continental snow climate site than at the maritime snow climate site. The in situ data indicate that some snow cover was present between 186 and 303 days, and partial snow cover conditions occurred on 10%–98% of days with snow cover. Four sites remained partially snow-free throughout most of the winter and spring, while six sites were entirely snow covered throughout most or all of the winter and spring. Within 60 m grid cells, the late spring/summer transition from snow-covered to snow-free conditions lasted 17–56 days and averaged 37 days. Our results suggest that mixed snow-covered snow-free pixels are common at the spatial resolutions imaged by both the Landsat and MODIS sensors. This highlights the additional information available from fractional SCA products and suggests fractional SCA can provide a major advantage for hydrological and climatological monitoring and modeling, particularly when accurate representation of the spatial distribution of snow cover is critical.
","language":"English","publisher":"MDPI","doi":"10.3390/rs61212478","usgsCitation":"Selkowitz, D.J., Forster, R., and Caldwell, M.K., 2014, Prevalence of pure versus mixed snow cover pixels across spatial resolutions in alpine environments: implications for binary and fractional remote sensing approaches: Remote Sensing, v. 6, no. 12, p. 12478-12508, https://doi.org/10.3390/rs61212478.","productDescription":"30 p.","startPage":"12478","endPage":"12508","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-060122","costCenters":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"links":[{"id":472504,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/rs61212478","text":"Publisher Index Page"},{"id":323952,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"6","issue":"12","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2014-12-11","publicationStatus":"PW","scienceBaseUri":"576913e4e4b07657d19ff238","contributors":{"authors":[{"text":"Selkowitz, David J. 0000-0003-0824-7051 dselkowitz@usgs.gov","orcid":"https://orcid.org/0000-0003-0824-7051","contributorId":3259,"corporation":false,"usgs":true,"family":"Selkowitz","given":"David","email":"dselkowitz@usgs.gov","middleInitial":"J.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":118,"text":"Alaska Science Center Geography","active":true,"usgs":true}],"preferred":true,"id":639740,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Forster, Richard","contributorId":172149,"corporation":false,"usgs":false,"family":"Forster","given":"Richard","affiliations":[{"id":26993,"text":"University of Utah, Department of Geography","active":true,"usgs":false}],"preferred":false,"id":639741,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Caldwell, Megan K. mcaldwell@usgs.gov","contributorId":4243,"corporation":false,"usgs":true,"family":"Caldwell","given":"Megan","email":"mcaldwell@usgs.gov","middleInitial":"K.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":639742,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ]}