{"pageNumber":"618","pageRowStart":"15425","pageSize":"25","recordCount":68919,"records":[{"id":70045947,"text":"70045947 - 2013 - Return period adjustment for runoff coefficients based on analysis in undeveloped Texas watersheds","interactions":[],"lastModifiedDate":"2013-05-14T15:09:44","indexId":"70045947","displayToPublicDate":"2013-05-14T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2362,"text":"Journal of Irrigation and Drainage Engineering","active":true,"publicationSubtype":{"id":10}},"title":"Return period adjustment for runoff coefficients based on analysis in undeveloped Texas watersheds","docAbstract":"The rational method for peak discharge (Q<sub>p</sub>) estimation was introduced in the 1880s. The runoff coefficient (C) is a key parameter for the rational method that has an implicit meaning of rate proportionality, and the C has been declared a function of the annual return period by various researchers. Rate-based runoff coefficients as a function of the return period, C(T), were determined for 36 undeveloped watersheds in Texas using peak discharge frequency from previously published regional regression equations and rainfall intensity frequency for return periods T of 2, 5, 10, 25, 50, and 100 years. The C(T) values and return period adjustments C(T)/C(T=10  year) determined in this study are most applicable to undeveloped watersheds. The return period adjustments determined for the Texas watersheds in this study and those extracted from prior studies of non-Texas data exceed values from well-known literature such as design manuals and textbooks. Most importantly, the return period adjustments exceed values currently recognized in Texas Department of Transportation design guidance when T>10  years.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Irrigation and Drainage Engineering","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"ASCE","doi":"10.1061/(ASCE)IR.1943-4774.0000571","usgsCitation":"Dhakal, N., Fang, X., Asquith, W.H., Cleveland, T., and Thompson, D.B., 2013, Return period adjustment for runoff coefficients based on analysis in undeveloped Texas watersheds: Journal of Irrigation and Drainage Engineering, v. 139, no. 6, p. 476-482, https://doi.org/10.1061/(ASCE)IR.1943-4774.0000571.","productDescription":"7 p.","startPage":"476","endPage":"482","ipdsId":"IP-042345","costCenters":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"links":[{"id":272266,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":272265,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1061/(ASCE)IR.1943-4774.0000571"}],"country":"United States","state":"Texas","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -106.6,25.8 ], [ -106.6,36.5 ], [ -93.5,36.5 ], [ -93.5,25.8 ], [ -106.6,25.8 ] ] ] } } ] }","volume":"139","issue":"6","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53cd70e0e4b0b29085107537","contributors":{"authors":[{"text":"Dhakal, Nirajan","contributorId":93796,"corporation":false,"usgs":true,"family":"Dhakal","given":"Nirajan","email":"","affiliations":[],"preferred":false,"id":478594,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fang, Xing","contributorId":27134,"corporation":false,"usgs":true,"family":"Fang","given":"Xing","email":"","affiliations":[],"preferred":false,"id":478591,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Asquith, William H. 0000-0002-7400-1861 wasquith@usgs.gov","orcid":"https://orcid.org/0000-0002-7400-1861","contributorId":1007,"corporation":false,"usgs":true,"family":"Asquith","given":"William","email":"wasquith@usgs.gov","middleInitial":"H.","affiliations":[{"id":48595,"text":"Oklahoma-Texas Water Science Center","active":true,"usgs":true}],"preferred":true,"id":478590,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Cleveland, Theodore G.","contributorId":88029,"corporation":false,"usgs":true,"family":"Cleveland","given":"Theodore G.","affiliations":[],"preferred":false,"id":478593,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Thompson, David B.","contributorId":79954,"corporation":false,"usgs":true,"family":"Thompson","given":"David","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":478592,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70043361,"text":"70043361 - 2013 - Estimating irrigation water demand using an improved method and optimizing reservoir operation for water supply and hydropower generation: a case study of the Xinfengjiang reservoir in southern China","interactions":[],"lastModifiedDate":"2013-05-14T09:17:57","indexId":"70043361","displayToPublicDate":"2013-05-14T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":680,"text":"Agricultural Water Management","active":true,"publicationSubtype":{"id":10}},"title":"Estimating irrigation water demand using an improved method and optimizing reservoir operation for water supply and hydropower generation: a case study of the Xinfengjiang reservoir in southern China","docAbstract":"The ever-increasing demand for water due to growth of population and socioeconomic development in the past several decades has posed a worldwide threat to water supply security and to the environmental health of rivers. This study aims to derive reservoir operating rules through establishing a multi-objective optimization model for the Xinfengjiang (XFJ) reservoir in the East River Basin in southern China to minimize water supply deficit and maximize hydropower generation. Additionally, to enhance the estimation of irrigation water demand from the downstream agricultural area of the XFJ reservoir, a conventional method for calculating crop water demand is improved using hydrological model simulation results. Although the optimal reservoir operating rules are derived for the XFJ reservoir with three priority scenarios (water supply only, hydropower generation only, and equal priority), the river environmental health is set as the basic demand no matter which scenario is adopted. The results show that the new rules derived under the three scenarios can improve the reservoir operation for both water supply and hydropower generation when comparing to the historical performance. Moreover, these alternative reservoir operating policies provide the flexibility for the reservoir authority to choose the most appropriate one. Although changing the current operating rules may influence its hydropower-oriented functions, the new rules can be significant to cope with the increasingly prominent water shortage and degradation in the aquatic environment. Overall, our results and methods (improved estimation of irrigation water demand and formulation of the reservoir optimization model) can be useful for local watershed managers and valuable for other researchers worldwide.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Agricultural Water Management","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","doi":"10.1016/j.agwat.2012.10.016","usgsCitation":"Wu, Y., and Chen, J., 2013, Estimating irrigation water demand using an improved method and optimizing reservoir operation for water supply and hydropower generation: a case study of the Xinfengjiang reservoir in southern China: Agricultural Water Management, v. 116, p. 110-121, https://doi.org/10.1016/j.agwat.2012.10.016.","productDescription":"12 p.","startPage":"110","endPage":"121","ipdsId":"IP-041608","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":272201,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":272200,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.agwat.2012.10.016"}],"country":"China","otherGeospatial":"Xinfengjiang Reservoir","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ 114.3728,23.7144 ], [ 114.3728,24.1164 ], [ 114.7686,24.1164 ], [ 114.7686,23.7144 ], [ 114.3728,23.7144 ] ] ] } } ] }","volume":"116","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53cd5804e4b0b290850f7d16","contributors":{"authors":[{"text":"Wu, Yiping ywu@usgs.gov","contributorId":987,"corporation":false,"usgs":true,"family":"Wu","given":"Yiping","email":"ywu@usgs.gov","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":473461,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Chen, Ji","contributorId":101960,"corporation":false,"usgs":true,"family":"Chen","given":"Ji","email":"","affiliations":[],"preferred":false,"id":473462,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70043750,"text":"70043750 - 2013 - Evapotranspiration and water balance of an anthropogenic coastal desert wetland: responses to fire, inflows and salinities","interactions":[],"lastModifiedDate":"2013-10-23T10:05:21","indexId":"70043750","displayToPublicDate":"2013-05-14T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1454,"text":"Ecological Engineering","active":true,"publicationSubtype":{"id":10}},"title":"Evapotranspiration and water balance of an anthropogenic coastal desert wetland: responses to fire, inflows and salinities","docAbstract":"Evapotranspiration (ET) and other water balance components were estimated for Cienega de Santa Clara, an anthropogenic brackish wetland in the delta of the Colorado River in Mexico. The marsh is in the Biosphere Reserve of the Upper Gulf of California and Delta of the Colorado River, and supports a high abundance and diversity of wildlife. Over 95% of its water supply originates as agricultural drain water from the USA, sent for disposal in Mexico. This study was conducted from 2009 to 2011, before, during and after a trial run of the Yuma Desalting Plant in the USA, which will divert water from the wetland and replace it with brine from the desalting operation. The goal was to estimate the main components in the water budget to be used in creating management scenarios for this marsh. We used a remote sensing algorithm to estimate ET from meteorological data and Enhanced Vegetation Index values from the Moderate Resolution Imaging Spectrometer (MODIS) sensors on the Terra satellite. ET estimates from the MODIS method were then compared to results from a mass balance of water and salt inflows and outflows over the study period. By both methods, mean annual ET estimates ranged from 2.6 to 3.0 mm d<sup>−1</sup>, or 50 to 60% of reference ET (ET<sub>o</sub>). Water entered at a mean salinity of 2.6 g L<sup>−1</sup> TDS and mean salinity in the wetland was 3.73 g L<sup>−1</sup> TDS over the 33 month study period. Over an annual cycle, 54% of inflows supported ET while the rest exited the marsh as outflows; however, in winter when ET was low, up to 90% of the inflows exited the marsh. An analysis of ET estimates over the years 2000–2011 showed that annual ET was proportional to the volume of inflows, but was also markedly stimulated by fires. Spring fires in 2006 and 2011 burned off accumulated thatch, resulting in vigorous growth of new leaves and a 30% increase in peak summer ET compared to non-fire years. Following fires, peak summer ET estimates were equal to ET<sub>o</sub>, while in non-fire years peak ET was equal to only one-half to two-thirds of ET<sub>o</sub>. Over annual cycles, estimated ET was always lower than ET<sub>o</sub>, because T. domingensis is dormant in winter and shades the water surface, reducing direct evaporation. Thus, ET of a Typha marsh is likely to be less than an open water surface under most conditions.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Ecological Engineering","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","doi":"10.1016/j.ecoleng.2012.06.043","usgsCitation":"Glenn, E.P., Mexicano, L., Garcia-Hernandez, J., Nagler, P.L., Gomez-Sapiens, M.M., Tang, D., Lomeli, M.A., Ramírez-Hernández, J., and Zamora-Arroyo, F., 2013, Evapotranspiration and water balance of an anthropogenic coastal desert wetland: responses to fire, inflows and salinities: Ecological Engineering, v. 59, p. 176-184, https://doi.org/10.1016/j.ecoleng.2012.06.043.","productDescription":"9 p.","startPage":"176","endPage":"184","ipdsId":"IP-038206","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":272224,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":272223,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.ecoleng.2012.06.043"}],"volume":"59","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5268efe3e4b0584cbe916856","contributors":{"authors":[{"text":"Glenn, Edward P.","contributorId":19289,"corporation":false,"usgs":true,"family":"Glenn","given":"Edward","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":474201,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mexicano, Lourdes","contributorId":91773,"corporation":false,"usgs":true,"family":"Mexicano","given":"Lourdes","email":"","affiliations":[],"preferred":false,"id":474207,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Garcia-Hernandez, Jaqueline","contributorId":37627,"corporation":false,"usgs":true,"family":"Garcia-Hernandez","given":"Jaqueline","email":"","affiliations":[],"preferred":false,"id":474203,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Nagler, Pamela L. 0000-0003-0674-103X pnagler@usgs.gov","orcid":"https://orcid.org/0000-0003-0674-103X","contributorId":1398,"corporation":false,"usgs":true,"family":"Nagler","given":"Pamela","email":"pnagler@usgs.gov","middleInitial":"L.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":474199,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Gomez-Sapiens, Martha M.","contributorId":58172,"corporation":false,"usgs":true,"family":"Gomez-Sapiens","given":"Martha","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":474204,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Tang, Dawei","contributorId":17515,"corporation":false,"usgs":true,"family":"Tang","given":"Dawei","email":"","affiliations":[],"preferred":false,"id":474200,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Lomeli, Marcelo A.","contributorId":60523,"corporation":false,"usgs":true,"family":"Lomeli","given":"Marcelo","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":474205,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Ramírez-Hernández, Jorge","contributorId":24264,"corporation":false,"usgs":true,"family":"Ramírez-Hernández","given":"Jorge","affiliations":[],"preferred":false,"id":474202,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Zamora-Arroyo, Francisco","contributorId":75834,"corporation":false,"usgs":true,"family":"Zamora-Arroyo","given":"Francisco","email":"","affiliations":[],"preferred":false,"id":474206,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70042681,"text":"70042681 - 2013 - Factors influencing storm-generated suspended-sediment concentrations and loads in four basins of contrasting land use, humid-tropical Puerto Rico","interactions":[],"lastModifiedDate":"2013-05-14T15:28:37","indexId":"70042681","displayToPublicDate":"2013-05-14T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1198,"text":"Catena","active":true,"publicationSubtype":{"id":10}},"title":"Factors influencing storm-generated suspended-sediment concentrations and loads in four basins of contrasting land use, humid-tropical Puerto Rico","docAbstract":"The significant characteristics controlling the variability in storm-generated suspended-sediment loads and concentrations were analyzed for four basins of differing land use (forest, pasture, cropland, and urbanizing) in humid-tropical Puerto Rico. Statistical analysis involved stepwise regression on factor scores. The explanatory variables were attributes of flow, hydrograph peaks, and rainfall, categorized into 5 flow periods: (1) the current storm hydrograph, (2) the flow and rainfall since the previous storm event, (3) the previous storm event, (4) 2nd previous storm event, and (5) the 3rd previous storm event. The response variables (storm generated sediment loads and concentrations) were analyzed for three portions of the storm hydrograph: (1) the entire storm, (2) the rising limb, and (3) the recessional limb. Hysteresis differences in sediment concentration between the rising and falling limb were also analyzed using these explanatory variables.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Catena","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","doi":"10.1016/j.catena.2012.10.018","usgsCitation":"Gellis, A., 2013, Factors influencing storm-generated suspended-sediment concentrations and loads in four basins of contrasting land use, humid-tropical Puerto Rico: Catena, v. 104, p. 39-57, https://doi.org/10.1016/j.catena.2012.10.018.","productDescription":"9 p.","startPage":"39","endPage":"57","ipdsId":"IP-032072","costCenters":[{"id":374,"text":"Maryland Water Science Center","active":true,"usgs":true}],"links":[{"id":272268,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":272267,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.catena.2012.10.018"}],"country":"Puerto Rico","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -67.95,17.88 ], [ -67.95,18.52 ], [ -65.22,18.52 ], [ -65.22,17.88 ], [ -67.95,17.88 ] ] ] } } ] }","volume":"104","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53cd58ffe4b0b290850f872a","contributors":{"authors":[{"text":"Gellis, Allen C. 0000-0002-3449-2889 agellis@usgs.gov","orcid":"https://orcid.org/0000-0002-3449-2889","contributorId":1709,"corporation":false,"usgs":true,"family":"Gellis","given":"Allen C.","email":"agellis@usgs.gov","affiliations":[{"id":375,"text":"Maryland, Delaware, and the District of Columbia Water Science Center","active":false,"usgs":true}],"preferred":false,"id":472045,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70042353,"text":"70042353 - 2013 - Evaporative losses from soils covered by physical and different types of biological soil crusts","interactions":[],"lastModifiedDate":"2013-05-14T11:23:03","indexId":"70042353","displayToPublicDate":"2013-05-14T00:00:00","publicationYear":"2013","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":"Evaporative losses from soils covered by physical and different types of biological soil crusts","docAbstract":"Evaporation of soil moisture is one of the most important processes affecting water availability in semiarid ecosystems. Biological soil crusts, which are widely distributed ground cover in these ecosystems, play a recognized role on water processes. Where they roughen surfaces, water residence time and thus infiltration can be greatly enhanced, whereas their ability to clog soil pores or cap the soil surface when wetted can greatly decrease infiltration rate, thus affecting evaporative losses. In this work, we compared evaporation in soils covered by physical crusts, biological crusts in different developmental stages and in the soils underlying the different biological crust types. Our results show that during the time of the highest evaporation (Day 1), there was no difference among any of the crust types or the soils underlying them. On Day 2, when soil moisture was moderately low (11%), evaporation was slightly higher in well-developed biological soil crusts than in physical or poorly developed biological soil crusts. However, crust removal did not cause significant changes in evaporation compared with the respective soil crust type. These results suggest that the small differences we observed in evaporation among crust types could be caused by differences in the properties of the soil underneath the biological crusts. At low soil moisture (<6%), there was no difference in evaporation among crust types or the underlying soils. Water loss for the complete evaporative cycle (from saturation to dry soil) was similar in both crusted and scraped soils. Therefore, we conclude that for the specific crust and soil types tested, the presence or the type of biological soil crust did not greatly modify evaporation with respect to physical crusts or scraped soils.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Hydrological Processes","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Wiley","doi":"10.1002/hyp.8421","usgsCitation":"Chamizo, S., Canton, Y., Domingo, F., and Belnap, J., 2013, Evaporative losses from soils covered by physical and different types of biological soil crusts: Hydrological Processes, v. 27, no. 3, p. 324-332, https://doi.org/10.1002/hyp.8421.","productDescription":"9 p.","startPage":"324","endPage":"332","ipdsId":"IP-029706","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":473824,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1002/hyp.8421","text":"External Repository"},{"id":272222,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":272221,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1002/hyp.8421"}],"volume":"27","issue":"3","noUsgsAuthors":false,"publicationDate":"2012-03-19","publicationStatus":"PW","scienceBaseUri":"53cd588ae4b0b290850f828e","contributors":{"authors":[{"text":"Chamizo, S.","contributorId":49260,"corporation":false,"usgs":true,"family":"Chamizo","given":"S.","affiliations":[],"preferred":false,"id":471367,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Canton, Y.","contributorId":99868,"corporation":false,"usgs":true,"family":"Canton","given":"Y.","email":"","affiliations":[],"preferred":false,"id":471369,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Domingo, F.","contributorId":91776,"corporation":false,"usgs":true,"family":"Domingo","given":"F.","email":"","affiliations":[],"preferred":false,"id":471368,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Belnap, J. 0000-0001-7471-2279","orcid":"https://orcid.org/0000-0001-7471-2279","contributorId":23872,"corporation":false,"usgs":true,"family":"Belnap","given":"J.","affiliations":[],"preferred":false,"id":471366,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70045934,"text":"70045934 - 2013 - Simulating mechanisms for dispersal, production and stranding of small forage fish in temporary wetland habitats","interactions":[],"lastModifiedDate":"2013-05-11T23:50:49","indexId":"70045934","displayToPublicDate":"2013-05-11T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1458,"text":"Ecological Modelling","active":true,"publicationSubtype":{"id":10}},"title":"Simulating mechanisms for dispersal, production and stranding of small forage fish in temporary wetland habitats","docAbstract":"Movement strategies of small forage fish (<8 cm total length) between temporary and permanent wetland habitats affect their overall population growth and biomass concentrations, i.e., availability to predators. These fish are often the key energy link between primary producers and top predators, such as wading birds, which require high concentrations of stranded fish in accessible depths. Expansion and contraction of seasonal wetlands induce a sequential alternation between rapid biomass growth and concentration, creating the conditions for local stranding of small fish as they move in response to varying water levels. To better understand how landscape topography, hydrology, and fish behavior interact to create high densities of stranded fish, we first simulated population dynamics of small fish, within a dynamic food web, with different traits for movement strategy and growth rate, across an artificial, spatially explicit, heterogeneous, two-dimensional marsh slough landscape, using hydrologic variability as the driver for movement. Model output showed that fish with the highest tendency to invade newly flooded marsh areas built up the largest populations over long time periods with stable hydrologic patterns. A higher probability to become stranded had negative effects on long-term population size, and offset the contribution of that species to stranded biomass. The model was next applied to the topography of a 10 km × 10 km area of Everglades landscape. The details of the topography were highly important in channeling fish movements and creating spatiotemporal patterns of fish movement and stranding. This output provides data that can be compared in the future with observed locations of fish biomass concentrations, or such surrogates as phosphorus ‘hotspots’ in the marsh.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Ecological Modelling","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","doi":"10.1016/j.ecolmodel.2012.11.001","usgsCitation":"Yurek, S., DeAngelis, D., Trexler, J.C., Jopp, F., and Donalson, D.D., 2013, Simulating mechanisms for dispersal, production and stranding of small forage fish in temporary wetland habitats: Ecological Modelling, v. 250, p. 391-401, https://doi.org/10.1016/j.ecolmodel.2012.11.001.","productDescription":"11 p.","startPage":"391","endPage":"401","ipdsId":"IP-038780","costCenters":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"links":[{"id":272189,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":272188,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.ecolmodel.2012.11.001"}],"volume":"250","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"518f5a51e4b05ebc8f7cc30a","contributors":{"authors":[{"text":"Yurek, Simeon 0000-0002-6209-7915 syurek@usgs.gov","orcid":"https://orcid.org/0000-0002-6209-7915","contributorId":103167,"corporation":false,"usgs":true,"family":"Yurek","given":"Simeon","email":"syurek@usgs.gov","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":478555,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"DeAngelis, Donald L. 0000-0002-1570-4057","orcid":"https://orcid.org/0000-0002-1570-4057","contributorId":88015,"corporation":false,"usgs":true,"family":"DeAngelis","given":"Donald L.","affiliations":[],"preferred":false,"id":478554,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"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":478551,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Jopp, Fred","contributorId":62336,"corporation":false,"usgs":true,"family":"Jopp","given":"Fred","email":"","affiliations":[],"preferred":false,"id":478552,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Donalson, Douglas D.","contributorId":74660,"corporation":false,"usgs":true,"family":"Donalson","given":"Douglas","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":478553,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70045935,"text":"sir20135079 - 2013 - Groundwater depletion in the United States (1900−2008)","interactions":[],"lastModifiedDate":"2018-05-22T09:57:25","indexId":"sir20135079","displayToPublicDate":"2013-05-10T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2013-5079","title":"Groundwater depletion in the United States (1900−2008)","docAbstract":"A natural consequence of groundwater withdrawals is the removal of water from subsurface storage, but the overall rates and magnitude of groundwater depletion in the United States are not well characterized. This study evaluates long-term cumulative depletion volumes in 40 separate aquifers or areas and one land use category in the United States, bringing together information from the literature and from new analyses. Depletion is directly calculated using calibrated groundwater models, analytical approaches, or volumetric budget analyses for multiple aquifer systems. Estimated groundwater depletion in the United States during 1900–2008 totals approximately 1,000 cubic kilometers (km<sup>3</sup>). Furthermore, the rate of groundwater depletion has increased markedly since about 1950, with maximum rates occurring during the most recent period (2000–2008) when the depletion rate averaged almost 25 km<sup>3</sup> per year (compared to 9.2 km<sup>3</sup> per year averaged over the 1900–2008 timeframe).","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20135079","usgsCitation":"Konikow, L.F., 2013, Groundwater depletion in the United States (1900−2008): U.S. Geological Survey Scientific Investigations Report 2013-5079, viii, 65 p., https://doi.org/10.3133/sir20135079.","productDescription":"viii, 65 p.","numberOfPages":"75","onlineOnly":"Y","additionalOnlineFiles":"N","temporalStart":"1900-01-01","temporalEnd":"2008-12-31","costCenters":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"links":[{"id":272180,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20135079.gif"},{"id":272178,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2013/5079/"},{"id":272179,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2013/5079/SIR2013-5079.pdf"},{"id":354382,"rank":4,"type":{"id":28,"text":"Dataset"},"url":"https://water.usgs.gov/GIS/metadata/usgswrd/XML/sir2013-5079_Groundwater_Depletion.xml"}],"country":"United 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,{"id":70044642,"text":"70044642 - 2013 - Effects of historical lead–zinc mining on riffle-dwelling benthic fish and crayfish in the Big River of southeastern Missouri, USA","interactions":[],"lastModifiedDate":"2013-05-09T13:53:26","indexId":"70044642","displayToPublicDate":"2013-05-09T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1479,"text":"Ecotoxicology","active":true,"publicationSubtype":{"id":10}},"title":"Effects of historical lead–zinc mining on riffle-dwelling benthic fish and crayfish in the Big River of southeastern Missouri, USA","docAbstract":"The Big River (BGR) drains much of the Old Lead Belt mining district (OLB) in southeastern Missouri, USA, which was historically among the largest producers of lead–zinc (Pb–Zn) ore in the world. We sampled benthic fish and crayfish in riffle habitats at eight sites in the BGR and conducted 56-day in situ exposures to the woodland crayfish (Orconectes hylas) and golden crayfish (Orconectes luteus) in cages at four sites affected to differing degrees by mining. Densities of fish and crayfish, physical habitat and water quality, and the survival and growth of caged crayfish were examined at sites with no known upstream mining activities (i.e., reference sites) and at sites downstream of mining areas (i.e., mining and downstream sites). Lead, zinc, and cadmium were analyzed in surface and pore water, sediment, detritus, fish, crayfish, and other benthic macro-invertebrates. Metals concentrations in all materials analyzed were greater at mining and downstream sites than at reference sites. Ten species of fish and four species of crayfish were collected. Fish and crayfish densities were significantly greater at reference than mining or downstream sites, and densities were greater at downstream than mining sites. Survival of caged crayfish was significantly lower at mining sites than reference sites; downstream sites were not tested. Chronic toxic-unit scores and sediment probable effects quotients indicated significant risk of toxicity to fish and crayfish, and metals concentrations in crayfish were sufficiently high to represent a risk to wildlife at mining and downstream sites. Collectively, the results provided direct evidence that metals associated with historical mining activities in the OLB continue to affect aquatic life in the BGR.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Ecotoxicology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Springer","doi":"10.1007/s10646-013-1043-3","usgsCitation":"Allert, A., DiStefano, R., Fairchild, J., Schmitt, C., McKee, M., Girondo, J., Brumbaugh, W.G., and May, T., 2013, Effects of historical lead–zinc mining on riffle-dwelling benthic fish and crayfish in the Big River of southeastern Missouri, USA: Ecotoxicology, v. 22, no. 3, p. 506-521, https://doi.org/10.1007/s10646-013-1043-3.","productDescription":"16 p.","startPage":"506","endPage":"521","ipdsId":"IP-039152","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"links":[{"id":272154,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":272153,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s10646-013-1043-3"}],"country":"United States","state":"Missouri","otherGeospatial":"Big River","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -95.77,36.0 ], [ -95.77,40.61 ], [ -89.1,40.61 ], [ -89.1,36.0 ], [ -95.77,36.0 ] ] ] } } ] }","volume":"22","issue":"3","noUsgsAuthors":false,"publicationDate":"2013-02-23","publicationStatus":"PW","scienceBaseUri":"518cb75fe4b05ebc8f7cc0ec","contributors":{"authors":[{"text":"Allert, A.L.","contributorId":55987,"corporation":false,"usgs":true,"family":"Allert","given":"A.L.","email":"","affiliations":[],"preferred":false,"id":476115,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"DiStefano, R.J.","contributorId":72581,"corporation":false,"usgs":true,"family":"DiStefano","given":"R.J.","affiliations":[],"preferred":false,"id":476117,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fairchild, J.F.","contributorId":88891,"corporation":false,"usgs":true,"family":"Fairchild","given":"J.F.","email":"","affiliations":[],"preferred":false,"id":476120,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Schmitt, C. J. 0000-0001-6804-2360","orcid":"https://orcid.org/0000-0001-6804-2360","contributorId":56339,"corporation":false,"usgs":true,"family":"Schmitt","given":"C. J.","affiliations":[],"preferred":false,"id":476116,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"McKee, M.J.","contributorId":53365,"corporation":false,"usgs":true,"family":"McKee","given":"M.J.","affiliations":[],"preferred":false,"id":476114,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Girondo, J.A.","contributorId":75423,"corporation":false,"usgs":true,"family":"Girondo","given":"J.A.","affiliations":[],"preferred":false,"id":476118,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Brumbaugh, W. G.","contributorId":106441,"corporation":false,"usgs":true,"family":"Brumbaugh","given":"W.","email":"","middleInitial":"G.","affiliations":[{"id":595,"text":"U.S. Geological Survey","active":false,"usgs":true}],"preferred":false,"id":476121,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"May, T.W.","contributorId":75878,"corporation":false,"usgs":true,"family":"May","given":"T.W.","email":"","affiliations":[],"preferred":false,"id":476119,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70045526,"text":"70045526 - 2013 - Ecosystem services from converted land: the importance of tree cover in Amazonian pastures","interactions":[],"lastModifiedDate":"2013-08-12T09:16:44","indexId":"70045526","displayToPublicDate":"2013-05-09T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3669,"text":"Urban Ecosystems","active":true,"publicationSubtype":{"id":10}},"title":"Ecosystem services from converted land: the importance of tree cover in Amazonian pastures","docAbstract":"Deforestation is responsible for a substantial fraction of global carbon emissions and changes in surface energy budgets that affect climate. Deforestation losses include wildlife and human habitat, and myriad forest products on which rural and urban societies depend for food, fiber, fuel, fresh water, medicine, and recreation. Ecosystem services gained in the transition from forests to pasture and croplands, however, are often ignored in assessments of the impact of land cover change. The role of converted lands in tropical areas in terms of carbon uptake and storage is largely unknown. Pastures represent the fastest-growing form of converted land use in the tropics, even in some areas of rapid urban expansion. Tree biomass stored in these areas spans a broad range, depending on tree cover. Trees in pasture increase carbon storage, provide shade for cattle, and increase productivity of forage material. As a result, increasing fractional tree cover can provide benefits land managers as well as important ecosystem services such as reducing conversion pressure on forests adjacent to pastures. This study presents an estimation of fractional tree cover in pasture in a dynamic region on the verge of large-scale land use change. An appropriate sampling interval is established for similar studies, one that balances the need for independent samples of sufficient number to characterize a pasture in terms of fractional tree cover. This information represents a useful policy tool for government organizations and NGOs interested in encouraging ecosystem services on converted lands. Using high spatial resolution remotely sensed imagery, fractional tree cover in pasture is quantified for the municipality of Rio Branco, Brazil. A semivariogram and devolving spatial resolution are employed to determine the coarsest sampling interval that may be used, minimizing effects of spatial autocorrelation. The coarsest sampling interval that minimizes spatial dependence was about 22 m. The area-weighted fractional tree cover for the study area was 1.85 %, corrected for a slight bias associated with the coarser sampling resolution. The pastures sampled for fractional tree cover were divided between ‘high’ and ‘low’ tree cover, which may be the result of intentional incorporation of arboreal species in pasture. Further research involving those ranchers that have a higher fractional tree cover may indicate ways to promote the practice on a broader scale in the region.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Urban Ecosystems","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Springer","doi":"10.1007/s11252-012-0280-1","usgsCitation":"Barrett, K., Valentim, J., and Turner, B., 2013, Ecosystem services from converted land: the importance of tree cover in Amazonian pastures: Urban Ecosystems, v. 16, no. 3, p. 573-591, https://doi.org/10.1007/s11252-012-0280-1.","productDescription":"19 p.","startPage":"573","endPage":"591","ipdsId":"IP-042809","costCenters":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"links":[{"id":473832,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"http://www.alice.cnptia.embrapa.br/alice/handle/doc/1131969","text":"External Repository"},{"id":272119,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":272118,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s11252-012-0280-1"}],"volume":"16","issue":"3","noUsgsAuthors":false,"publicationDate":"2012-12-19","publicationStatus":"PW","scienceBaseUri":"518cb74fe4b05ebc8f7cc0d8","contributors":{"authors":[{"text":"Barrett, Kirsten","contributorId":26600,"corporation":false,"usgs":true,"family":"Barrett","given":"Kirsten","affiliations":[],"preferred":false,"id":477743,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Valentim, Judson","contributorId":105623,"corporation":false,"usgs":true,"family":"Valentim","given":"Judson","email":"","affiliations":[],"preferred":false,"id":477745,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Turner, B. L. II","contributorId":92567,"corporation":false,"usgs":true,"family":"Turner","given":"B. L.","suffix":"II","affiliations":[],"preferred":false,"id":477744,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70044603,"text":"70044603 - 2013 - Ecotoxicology of organochlorine chemicals in birds of the Great Lakes","interactions":[],"lastModifiedDate":"2013-05-09T09:28:37","indexId":"70044603","displayToPublicDate":"2013-05-09T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1571,"text":"Environmental Toxicology and Chemistry","active":true,"publicationSubtype":{"id":10}},"title":"Ecotoxicology of organochlorine chemicals in birds of the Great Lakes","docAbstract":"Silent Spring was fulfilled in the United States with passage of environmental legislation such as the Clean Water Act, the Federal Insecticide, Fungicide, and Rodenticide Act, and the Toxic Substance Control Act in the 1970s. Carson's writings, television interviews, and testimony before Congress alerted a nation and the world to the unintended effects of persistent, bioaccumulative chemicals on populations of fish, wildlife, and possibly humans. Her writings in the popular press brought attention to scientific findings that declines in populations of a variety of birds were directly linked to the widespread use of dichlorodiphenyltrichloroethane (DDT) in agriculture, public health, and horticulture. By the 1970s, DDT and other persistent organic pollutants (POPs) were being banned or phased out, and the intent of these regulatory acts became apparent in a number of locations across the United States, including the Great Lakes. Concentrations of DDT and its major product of transformation, dichlorodiphenylchloroethane (DDE), were decreasing in top predators, such as bald eagles (Haliaeetus leucocephalus), osprey (Pandion haliaetus), colonial waterbirds, and other fish-eating wildlife. Eggshell thinning and the associated mortality of bird embryos caused by DDE had decreased in the Great Lakes and elsewhere by the early 1980s.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Environmental Toxicology and Chemistry","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Wiley","doi":"10.1002/etc.2109","usgsCitation":"Tillitt, D.E., and Giesy, J.P., 2013, Ecotoxicology of organochlorine chemicals in birds of the Great Lakes: Environmental Toxicology and Chemistry, v. 32, no. 3, p. 490-492, https://doi.org/10.1002/etc.2109.","productDescription":"3 p.","startPage":"490","endPage":"492","ipdsId":"IP-041888","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"links":[{"id":473833,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/etc.2109","text":"Publisher Index Page"},{"id":272125,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":272124,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1002/etc.2109"}],"otherGeospatial":"Great Lakes","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -92.61,41.24 ], [ -92.61,49.0 ], [ -75.62,49.0 ], [ -75.62,41.24 ], [ -92.61,41.24 ] ] ] } } ] }","volume":"32","issue":"3","noUsgsAuthors":false,"publicationDate":"2013-03-01","publicationStatus":"PW","scienceBaseUri":"518cb75be4b05ebc8f7cc0e0","contributors":{"authors":[{"text":"Tillitt, Donald E. 0000-0002-8278-3955 dtillitt@usgs.gov","orcid":"https://orcid.org/0000-0002-8278-3955","contributorId":1875,"corporation":false,"usgs":true,"family":"Tillitt","given":"Donald","email":"dtillitt@usgs.gov","middleInitial":"E.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":475959,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Giesy, John P.","contributorId":57426,"corporation":false,"usgs":true,"family":"Giesy","given":"John","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":475960,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70045890,"text":"ofr20121215 - 2013 - Remote sensing survey of Chinese tallow tree in the Toledo Bend Reservoir area, Louisiana and Texas","interactions":[],"lastModifiedDate":"2018-01-05T10:27:56","indexId":"ofr20121215","displayToPublicDate":"2013-05-08T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2012-1215","title":"Remote sensing survey of Chinese tallow tree in the Toledo Bend Reservoir area, Louisiana and Texas","docAbstract":"We applied Hyperion sensor satellite data acquired by the National Aeronautics and Space Administration’s Earth Observing-1 (EO-1) satellite in conjunction with reconnaissance surveys to map the occurrences of the invasive Chinese tallow tree (Triadica sebifera) in the Toledo Bend Reservoir study area of northwestern Louisiana and northeastern Texas. The rationale for application of high spectral resolution EO-1 Hyperion data was based on the successful use of Hyperion data in the mapping of Chinese tallow tree in southwestern Louisiana in 2005. In contrast to the single Hyperion image used in the 2005 project, more than 20 EO-1 Hyperion and Advanced Land Imager (ALI) images of the study area were collected in 2009 and 2010 during the fall senescence when Chinese tallow tree leaves turn red. Atmospherically corrected reflectance spectra of Hyperion imagery collected at ground and aerial observation locations provided the input datasets used in the program for spectral discrimination analysis. Discrimination analysis was used to identify spectral indicator sets to best explain variance contained in the input databases. The expectation was that at least one set of Hyperion-based indicator spectra would uniquely identify occurrences of red-leaf Chinese tallow tree; however, no combination of Hyperion-based reflectance datasets produced a unique identifier.\n\nThe inability to discover a unique spectral indicator resulted primarily from relatively sparse coverage by red-leaf Chinese tallow tree within the study area (percentage of coverage was less than 5 percent per 30- by 30-meter Hyperion pixel). To enhance the performance of the spectral discrimination analysis, leaf and canopy spectra of Chinese tallow tree were added to the input datasets to guide the indicator selection. In addition, input databases were segregated by land class obtained from an ALI-based landcover classification in order to reduce the input variance and to promote spectral discrimination of red-leaf Chinese tallow tree. Although no unique spectral identifier for red-leaf Chinese tallow tree was uncovered with these enhanced methods, in some cases predicted spatial patterns throughout the Hyperion images revealed alignment with vegetation associations within each land class that was often observed to contain Chinese tallow trees. These instances were associated particularly with the addition of helicopter-based spectra to the input databases. It was attempted to extend such predictions of likely occurrences of Chinese tallow tree by mapping six of the nine Hyperion swaths and four of the nine land classes, but this attempt produced uncertain results that could not be fully evaluated for accuracy. Even though the final mapping showed promise in identifying likely Chinese tallow tree occurrences, the low percentage of occurrences hindered mapping performance and validation. Results of the mapping suggested that successful detection of Chinese tallow tree in the study area would require a spectral sensor similar to the Hyperion but with a higher ground-level spatial resolution.\n\nAlthough the Hyperion-based spectral mapping did not provide the desired results, the associated field (ground and aerial) surveys did provide for a qualitative assessment of the overall Chinese tallow tree distribution within the study area. Ground and aerial surveys suggested that Chinese tallow tree occurrences were uncommon and were without an observed pattern in relation to proximity to the Toledo Bend Reservoir. Although uncommon and scattered, Chinese tallow trees and shrubs most commonly existed along forest edges, water edges, and fence lines, probably most in line with seed dispersal by birds. Chinese tallow trees were observed to be more densely dispersed within some scrublands and grasslands than were observed in pine, hardwood, and mixed forests.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20121215","collaboration":"Prepared in cooperation with the Toledo Bend Project","usgsCitation":"Ramsey, E., Rangoonwala, A., Bannister, T., and Suzuoki, Y., 2013, Remote sensing survey of Chinese tallow tree in the Toledo Bend Reservoir area, Louisiana and Texas: U.S. Geological Survey Open-File Report 2012-1215, xi, 74 p.; Table 14; Database, https://doi.org/10.3133/ofr20121215.","productDescription":"xi, 74 p.; Table 14; Database","numberOfPages":"89","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true},{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":272068,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20121215.gif"},{"id":272066,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/of/2012/1215/Table14_RedTallowMapping.xlsx"},{"id":272064,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2012/1215/"},{"id":272067,"type":{"id":9,"text":"Database"},"url":"https://pubs.usgs.gov/of/2012/1215/Database/ToledoBend_click"},{"id":272065,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2012/1215/OFR%202012-1215.pdf"}],"country":"United States","state":"Louisiana;Texas","county":"Toledo Bend Reservoir","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -94.1,31.1 ], [ -94.1,32.0 ], [ -93.5,32.0 ], [ -93.5,31.1 ], [ -94.1,31.1 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"518b65e6e4b0037667dbc7eb","contributors":{"authors":[{"text":"Ramsey, Elijah W. III 0000-0002-4518-5796","orcid":"https://orcid.org/0000-0002-4518-5796","contributorId":72769,"corporation":false,"usgs":true,"family":"Ramsey","given":"Elijah W.","suffix":"III","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":false,"id":478492,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rangoonwala, Amina 0000-0002-0556-0598 rangoonwalaa@usgs.gov","orcid":"https://orcid.org/0000-0002-0556-0598","contributorId":3455,"corporation":false,"usgs":true,"family":"Rangoonwala","given":"Amina","email":"rangoonwalaa@usgs.gov","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":478490,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bannister, Terri","contributorId":82836,"corporation":false,"usgs":true,"family":"Bannister","given":"Terri","email":"","affiliations":[],"preferred":false,"id":478493,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Suzuoki, Yukihiro","contributorId":25283,"corporation":false,"usgs":true,"family":"Suzuoki","given":"Yukihiro","email":"","affiliations":[],"preferred":false,"id":478491,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70045914,"text":"sir20135086 - 2013 - Methods for estimating annual exceedance-probability discharges for streams in Iowa, based on data through water year 2010","interactions":[],"lastModifiedDate":"2013-05-08T20:55:26","indexId":"sir20135086","displayToPublicDate":"2013-05-08T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2013-5086","title":"Methods for estimating annual exceedance-probability discharges for streams in Iowa, based on data through water year 2010","docAbstract":"A statewide study was performed to develop regional regression equations for estimating selected annual exceedance-probability statistics for ungaged stream sites in Iowa. The study area comprises streamgages located within Iowa and 50 miles beyond the State’s borders. Annual exceedance-probability estimates were computed for 518 streamgages by using the expected moments algorithm to fit a Pearson Type III distribution to the logarithms of annual peak discharges for each streamgage using annual peak-discharge data through 2010. The estimation of the selected statistics included a Bayesian weighted least-squares/generalized least-squares regression analysis to update regional skew coefficients for the 518 streamgages. Low-outlier and historic information were incorporated into the annual exceedance-probability analyses, and a generalized Grubbs-Beck test was used to detect multiple potentially influential low flows. Also, geographic information system software was used to measure 59 selected basin characteristics for each streamgage.\n\nRegional regression analysis, using generalized least-squares regression, was used to develop a set of equations for each flood region in Iowa for estimating discharges for ungaged stream sites with 50-, 20-, 10-, 4-, 2-, 1-, 0.5-, and 0.2-percent annual exceedance probabilities, which are equivalent to annual flood-frequency recurrence intervals of 2, 5, 10, 25, 50, 100, 200, and 500 years, respectively. A total of 394 streamgages were included in the development of regional regression equations for three flood regions (regions 1, 2, and 3) that were defined for Iowa based on landform regions and soil regions.\n\nAverage standard errors of prediction range from 31.8 to 45.2 percent for flood region 1, 19.4 to 46.8 percent for flood region 2, and 26.5 to 43.1 percent for flood region 3. The pseudo coefficients of determination for the generalized least-squares equations range from 90.8 to 96.2 percent for flood region 1, 91.5 to 97.9 percent for flood region 2, and 92.4 to 96.0 percent for flood region 3. The regression equations are applicable only to stream sites in Iowa with flows not significantly affected by regulation, diversion, channelization, backwater, or urbanization and with basin characteristics within the range of those used to develop the equations.\n\nThese regression equations will be implemented within the U.S. Geological Survey StreamStats Web-based geographic information system tool. StreamStats allows users to click on any ungaged site on a river and compute estimates of the eight selected statistics; in addition, 90-percent prediction intervals and the measured basin characteristics for the ungaged sites also are provided by the Web-based tool. StreamStats also allows users to click on any streamgage in Iowa and estimates computed for these eight selected statistics are provided for the streamgage.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20135086","collaboration":"Prepared in cooperation with the Iowa Department of Transportation and the Iowa Highway Research Board (Project TR-519)","usgsCitation":"Eash, D.A., Barnes, K., and Veilleux, A.G., 2013, Methods for estimating annual exceedance-probability discharges for streams in Iowa, based on data through water year 2010: U.S. Geological Survey Scientific Investigations Report 2013-5086, viii, 63 p.; Downloads Directory, https://doi.org/10.3133/sir20135086.","productDescription":"viii, 63 p.; Downloads Directory","numberOfPages":"76","onlineOnly":"Y","additionalOnlineFiles":"Y","temporalEnd":"2010-10-01","ipdsId":"IP-032892","costCenters":[{"id":351,"text":"Iowa Water Science Center","active":true,"usgs":true}],"links":[{"id":272115,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20135086.gif"},{"id":272113,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2013/5086/sir13_5086web.pdf"},{"id":272114,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/sir/2013/5086/downloads/"},{"id":272112,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2013/5086/"}],"country":"United States","state":"Iowa","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -96.64,40.38 ], [ -96.64,43.5 ], [ -90.14,43.5 ], [ -90.14,40.38 ], [ -96.64,40.38 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"518b65e6e4b0037667dbc7e7","contributors":{"authors":[{"text":"Eash, David A. 0000-0002-2749-8959 daeash@usgs.gov","orcid":"https://orcid.org/0000-0002-2749-8959","contributorId":1887,"corporation":false,"usgs":true,"family":"Eash","given":"David","email":"daeash@usgs.gov","middleInitial":"A.","affiliations":[{"id":351,"text":"Iowa Water Science Center","active":true,"usgs":true}],"preferred":true,"id":478528,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Barnes, Kimberlee K.","contributorId":41476,"corporation":false,"usgs":true,"family":"Barnes","given":"Kimberlee K.","affiliations":[],"preferred":false,"id":478530,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Veilleux, Andrea G. aveilleux@usgs.gov","contributorId":4404,"corporation":false,"usgs":true,"family":"Veilleux","given":"Andrea","email":"aveilleux@usgs.gov","middleInitial":"G.","affiliations":[{"id":502,"text":"Office of Surface Water","active":true,"usgs":true}],"preferred":true,"id":478529,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70045885,"text":"ofr20131076 - 2013 - Characterization of mercury contamination in the Androscoggin River, Coos County, New Hampshire","interactions":[],"lastModifiedDate":"2013-05-08T09:21:26","indexId":"ofr20131076","displayToPublicDate":"2013-05-08T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2013-1076","title":"Characterization of mercury contamination in the Androscoggin River, Coos County, New Hampshire","docAbstract":"The former chloralkali facility in Berlin, New Hampshire, was designated a Superfund site in 2005. Historic paper mill activities resulted in the contamination of groundwater, surface water, and sediments with many organic compounds and mercury (Hg). Hg continues to seep into the Androscoggin River in elemental form through bedrock fractures. The objective of this study was to spatially characterize (1) the extent of Hg contamination in water, sediment, and biota; (2) Hg speciation and methylmercury (MeHg) production potential rates in sediment; (3) the availability of inorganic divalent Hg (Hg(II)) for Hg(II)-methylation (MeHg production); and (4) ancillary sediment geochemistry necessary to better understand Hg speciation and MeHg production potential rates in this system.\nConcentrations of total mercury (THg) and MeHg in sediment, pore water, and biota in the Androscoggin River were elevated downstream from the former chloralkali facility compared with those upstream from reference sites. Sequential extraction of surface sediment showed a distinct difference in Hg speciation upstream compared with downstream from the contamination site. An upstream site was dominated by potassium hydroxide-extractable forms (for example, organic-Hg or particle-bound Hg(II)), whereas sites downstream from the point source were dominated by more chemically recalcitrant forms (largely concentrated nitric acid-extractable), indicative of elemental mercury or mercurous chloride. At all sites, only a minor fraction (less than 0.1 percent) of THg existed in chemically labile forms (for example, water extractable or weak acid extractable). All metrics indicated that a greater percentage of mercury at an upstream site was available for Hg(II)-methylation compared with sites downstream from the point source, but the absolute concentration of bioavailable Hg(II) was greater downstream from the point source. In addition, the concentration of tin-reducible inorganic reactive mercury, a surrogate measure of bioavailable Hg(II) generally increased with distance downstream from the point source. Whereas concentrations of mercury species on a sediment-dry-weight basis generally reflected the relative location of the sample to the point source, river-reach integrated mercury-species inventories and MeHg production potential (MPP) rates reflected the amount of fine-grained sediment in a given reach.  THg concentrations in biota were significantly higher downstream from the point source compared with upstream reference sites for smallmouth bass, white sucker, crayfish, oligochaetes, bat fur, nestling tree swallow blood and feathers, adult tree swallow blood, and tree swallow eggs. As with tin-reducible inorganic reactive mercury, THg in smallmouth bass also increased with distance downstream from the point source. Toxicity tests and invertebrate community assessments suggested that invertebrates were not impaired at the current (2009 and 2010) levels of mercury contamination downstream from the point source. Concentrations of THg and MeHg in most water and sediment samples from the Androscoggin River were below U.S. Environmental Protection Agency (USEPA), the Canadian Council of Ministers of the Environment, and probable effects level guidelines. Surface-water and sediment samples from the Androscoggin River had similar THg concentrations but lower MeHg concentrations compared with other rivers in the region. Concentrations of THg in fish tissue were all above regional and U.S. Environmental Protection Agency guidelines. Moreover, median THg concentrations in smallmouth bass from the Androscoggin River were significantly higher than those reported in regional surveys of river and streams nationwide and in the Northeastern United States and Canada. The higher concentrations of mercury in smallmouth bass suggest conditions may be more favorable for Hg(II)-methylation and bioaccumulation in the Androscoggin River compared with many other rivers in the United States and Canada.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20131076","collaboration":"Prepared in cooperation with the U.S. Environmental Protection Agency","usgsCitation":"Chalmers, A., Marvin-DiPasquale, M.C., Degnan, J.R., Coles, J., Agee, J.L., and Luce, D., 2013, Characterization of mercury contamination in the Androscoggin River, Coos County, New Hampshire: U.S. Geological Survey Open-File Report 2013-1076, Report: vii, 58 p.; 2 XLS Appendices, https://doi.org/10.3133/ofr20131076.","productDescription":"Report: vii, 58 p.; 2 XLS Appendices","numberOfPages":"68","onlineOnly":"Y","additionalOnlineFiles":"N","costCenters":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"links":[{"id":272063,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20131076.gif"},{"id":272059,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2013/1076/"},{"id":272061,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/of/2013/1076/appendix/ofr_chalmers_append1_final.xlsx"},{"id":272060,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2013/1076/pdf/ofr2013-1076_report_508.pdf"},{"id":272062,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/of/2013/1076/appendix/ofr_chalmers_append2_final.xlsx"}],"country":"United States","state":"New Hampshire","county":"Coos County","otherGeospatial":"Androscoggin River","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -71.19,44.39 ], [ -71.19,44.40 ], [ -71.18,44.40 ], [ -71.18,44.39 ], [ -71.19,44.39 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"518b65d2e4b0037667dbc7df","contributors":{"authors":[{"text":"Chalmers, Ann","contributorId":23604,"corporation":false,"usgs":true,"family":"Chalmers","given":"Ann","affiliations":[],"preferred":false,"id":478481,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Marvin-DiPasquale, Mark C. 0000-0002-8186-9167 mmarvin@usgs.gov","orcid":"https://orcid.org/0000-0002-8186-9167","contributorId":1485,"corporation":false,"usgs":true,"family":"Marvin-DiPasquale","given":"Mark","email":"mmarvin@usgs.gov","middleInitial":"C.","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":478479,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Degnan, James R. 0000-0002-5665-9010 jrdegnan@usgs.gov","orcid":"https://orcid.org/0000-0002-5665-9010","contributorId":498,"corporation":false,"usgs":true,"family":"Degnan","given":"James","email":"jrdegnan@usgs.gov","middleInitial":"R.","affiliations":[{"id":405,"text":"NH/VT office of New England Water Science Center","active":true,"usgs":true},{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":478478,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Coles, James","contributorId":93795,"corporation":false,"usgs":true,"family":"Coles","given":"James","affiliations":[],"preferred":false,"id":478483,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Agee, Jennifer L. 0000-0002-5964-5079 jlagee@usgs.gov","orcid":"https://orcid.org/0000-0002-5964-5079","contributorId":2586,"corporation":false,"usgs":true,"family":"Agee","given":"Jennifer","email":"jlagee@usgs.gov","middleInitial":"L.","affiliations":[{"id":37464,"text":"WMA - Laboratory & Analytical Services Division","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":478480,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Luce, Darryl","contributorId":72520,"corporation":false,"usgs":true,"family":"Luce","given":"Darryl","email":"","affiliations":[],"preferred":false,"id":478482,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70045859,"text":"70045859 - 2013 - Analyzing the water budget and hydrological characteristics and responses to land use in a monsoonal climate river basin in South China","interactions":[],"lastModifiedDate":"2013-06-17T09:24:06","indexId":"70045859","displayToPublicDate":"2013-05-07T00:00:00","publicationYear":"2013","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":"Analyzing the water budget and hydrological characteristics and responses to land use in a monsoonal climate river basin in South China","docAbstract":"Hydrological models have been increasingly used by hydrologists and water resource managers to understand natural processes and human activities that affect watersheds. In this study, we use the physically based model, Soil and Water Assessment Tool (SWAT), to investigate the hydrological processes in the East River Basin in South China, a coastal area dominated by monsoonal climate. The SWAT model was calibrated using 8-year (1973–1980) record of the daily streamflow at the basin outlet (Boluo station), and then validated using data collected during the subsequent 8 years (1981–1988). Statistical evaluation shows that SWAT can consistently simulate the streamflow of the East River with monthly Nash–Sutcliffe efficiencies of 0.93 for calibration and 0.90 for validation at the Boluo station. We analyzed the model simulations with calibrated parameters, presented the spatiotemporal distribution of the key hydrological components, and quantified their responses to different land uses. Watershed managers can use the results of this study to understand hydrological features and evaluate water resources of the East River in terms of sustainable development and effective management.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Environmental Management","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Springer","doi":"10.1007/s00267-013-0045-5","usgsCitation":"Wu, Y., and Chen, J., 2013, Analyzing the water budget and hydrological characteristics and responses to land use in a monsoonal climate river basin in South China: Environmental Management, v. 51, no. 6, p. 1174-1186, https://doi.org/10.1007/s00267-013-0045-5.","productDescription":"13 p.","startPage":"1174","endPage":"1186","ipdsId":"IP-042191","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":272031,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":272012,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s00267-013-0045-5"}],"country":"China","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ 73.5,18.2 ], [ 73.5,53.6 ], [ 134.8,53.6 ], [ 134.8,18.2 ], [ 73.5,18.2 ] ] ] } } ] }","volume":"51","issue":"6","noUsgsAuthors":false,"publicationDate":"2013-04-23","publicationStatus":"PW","scienceBaseUri":"518a1451e4b061e1bd533337","contributors":{"authors":[{"text":"Wu, Yiping ywu@usgs.gov","contributorId":987,"corporation":false,"usgs":true,"family":"Wu","given":"Yiping","email":"ywu@usgs.gov","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":478445,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Chen, Ji","contributorId":101960,"corporation":false,"usgs":true,"family":"Chen","given":"Ji","email":"","affiliations":[],"preferred":false,"id":478446,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70044625,"text":"70044625 - 2013 - Occurrence and partitioning of antibiotic compounds found in the water column and bottom sediments from a stream receiving two wastewater treatment plant effluents in northern New Jersey, 2008.","interactions":[],"lastModifiedDate":"2019-06-03T11:43:40","indexId":"70044625","displayToPublicDate":"2013-05-07T00:00:00","publicationYear":"2013","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":"Occurrence and partitioning of antibiotic compounds found in the water column and bottom sediments from a stream receiving two wastewater treatment plant effluents in northern New Jersey, 2008.","docAbstract":"An urban watershed in northern New Jersey was studied to determine the presence of four classes of antibiotic compounds (macrolides, fluoroquinolones, sulfonamides, and tetracyclines) and six degradates in the water column and bottom sediments upstream and downstream from the discharges of two wastewater treatment plants (WWTPs) and a drinking-water intake (DWI). Many antibiotic compounds in the four classes not removed by conventional WWTPs enter receiving waters and partition to stream sediments. Samples were collected at nine sampling locations on 2 days in September 2008. Two of the nine sampling locations were background sites upstream from two WWTP discharges on Hohokus Brook. Another background site was located upstream from a DWI on the Saddle River above the confluence with Hohokus Brook. Because there is a weir downstream of the confluence of Hohokus Brook and Saddle River, the DWI receives water from Hohokus Brook at low stream flows. Eight antibiotic compounds (azithromycin (maximum concentration 0.24 &mu;g/L), ciprofloxacin (0.08 &mu;g/L), enrofloxacin (0.015 &mu;g/L), erythromycin (0.024 &mu;g/L), ofloxacin (0.92 &mu;g/L), sulfamethazine (0.018 &mu;g/L), sulfamethoxazole (0.25 &mu;g/L), and trimethoprim (0.14 &mu;g/L)) and a degradate (erythromycin-H2O (0.84 &mu;g/L)) were detected in the water samples from the sites downstream from the WWTP discharges. The concentrations of six of the eight detected compounds and the detected degradate compound decreased with increasing distance downstream from the WWTP discharges. Azithromycin, ciprofloxacin, ofloxacin, and trimethoprim were detected in stream-bottom sediments. The concentrations of three of the four compounds detected in sediments were highest at a sampling site located downstream from the WWTP discharges. Trimethoprim was detected in the sediments from a background site. Pseudo-partition coefficients normalized for streambed sediment organic carbon concentration were calculated for azithromycin, ciprofloxacin, and ofloxacin. Generally, there was good agreement between the decreasing order of the pseudo-partition coefficients in this study and the order reported in the literature.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Science of the Total Environment","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","doi":"10.1016/j.scitotenv.2013.03.076","usgsCitation":"Gibs, J., Heckathorn, H.A., Meyer, M.T., Klapinski, F.R., Alebus, M., and Lippincott, R., 2013, Occurrence and partitioning of antibiotic compounds found in the water column and bottom sediments from a stream receiving two wastewater treatment plant effluents in northern New Jersey, 2008.: Science of the Total Environment, v. 458-460, p. 107-116, https://doi.org/10.1016/j.scitotenv.2013.03.076.","productDescription":"10 p.","startPage":"107","endPage":"116","numberOfPages":"10","temporalStart":"2008-01-01","temporalEnd":"2008-12-31","ipdsId":"IP-035723","costCenters":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"links":[{"id":271932,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":271919,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.scitotenv.2013.03.076"}],"country":"United States","state":"New Jersey","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -74.149647,40.827449 ], [ -74.149647,41.079998 ], [ -73.999958,41.079998 ], [ -73.999958,40.827449 ], [ -74.149647,40.827449 ] ] ] } } ] }","volume":"458-460","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"518a145ce4b061e1bd533343","contributors":{"authors":[{"text":"Gibs, Jacob jgibs@usgs.gov","contributorId":1729,"corporation":false,"usgs":true,"family":"Gibs","given":"Jacob","email":"jgibs@usgs.gov","affiliations":[],"preferred":true,"id":476034,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Heckathorn, Heather A. haheck@usgs.gov","contributorId":1728,"corporation":false,"usgs":true,"family":"Heckathorn","given":"Heather","email":"haheck@usgs.gov","middleInitial":"A.","affiliations":[],"preferred":true,"id":476033,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Meyer, Michael T. 0000-0001-6006-7985 mmeyer@usgs.gov","orcid":"https://orcid.org/0000-0001-6006-7985","contributorId":866,"corporation":false,"usgs":true,"family":"Meyer","given":"Michael","email":"mmeyer@usgs.gov","middleInitial":"T.","affiliations":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"preferred":true,"id":476032,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Klapinski, Frank R.","contributorId":102767,"corporation":false,"usgs":true,"family":"Klapinski","given":"Frank","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":476036,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Alebus, Marzooq","contributorId":15497,"corporation":false,"usgs":true,"family":"Alebus","given":"Marzooq","email":"","affiliations":[],"preferred":false,"id":476035,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Lippincott, Robert","contributorId":103550,"corporation":false,"usgs":true,"family":"Lippincott","given":"Robert","email":"","affiliations":[],"preferred":false,"id":476037,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70045161,"text":"70045161 - 2013 - Survival and behavior of Chinese mystery snails (Bellamya chinensis) in response to simulated water body drawdowns and extended air exposure","interactions":[],"lastModifiedDate":"2013-07-01T09:45:32","indexId":"70045161","displayToPublicDate":"2013-05-07T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2655,"text":"Management of Biological Invasions","active":true,"publicationSubtype":{"id":10}},"title":"Survival and behavior of Chinese mystery snails (Bellamya chinensis) in response to simulated water body drawdowns and extended air exposure","docAbstract":"Nonnative invasive mollusks degrade aquatic ecosystems and induce economic losses worldwide. Extended air exposure through water body drawdown is one management action used for control. In North America, the Chinese mystery snail (Bellamya chinensis) is an invasive aquatic snail with an expanding range, but eradication methods for this species are not well documented. We assessed the ability of B. chinensis to survive different durations of air exposure, and observed behavioral responses prior to, during, and following desiccation events. Individual B. chinensis specimens survived air exposure in a laboratory setting for > 9 weeks, and survivorship was greater among adults than juveniles. Several B. chinensis specimens responded to desiccation by sealing their opercula and/or burrowing in mud substrate. Our results indicate that drawdowns alone may not be an effective means of eliminating B. chinensis. This study lays the groundwork for future management research that may determine the effectiveness of drawdowns when combined with factors such as extreme temperatures, predation, or molluscicides.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Management of Biological Invasions","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"REABIC","doi":"10.3391/mbi.2013.4.2.04","usgsCitation":"Unstad, K.M., Uden, D.R., Allen, C.R., Chaine, N.M., Haak, D.M., Kill, R.A., Pope, K.L., Stephen, B., and Wong, A., 2013, Survival and behavior of Chinese mystery snails (Bellamya chinensis) in response to simulated water body drawdowns and extended air exposure: Management of Biological Invasions, v. 4, no. 2, p. 123-127, https://doi.org/10.3391/mbi.2013.4.2.04.","productDescription":"5 p.","startPage":"123","endPage":"127","ipdsId":"IP-044849","costCenters":[{"id":463,"text":"Nebraska Cooperative Fish and Wildlife Research Unit","active":false,"usgs":true}],"links":[{"id":473835,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3391/mbi.2013.4.2.04","text":"Publisher Index Page"},{"id":272050,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":274326,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.3391/mbi.2013.4.2.04"}],"volume":"4","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"518a1460e4b061e1bd53335f","contributors":{"authors":[{"text":"Unstad, Kody M.","contributorId":28491,"corporation":false,"usgs":true,"family":"Unstad","given":"Kody","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":476973,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Uden, Daniel R.","contributorId":74258,"corporation":false,"usgs":true,"family":"Uden","given":"Daniel","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":476977,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Allen, Craig R. 0000-0001-8655-8272 allencr@usgs.gov","orcid":"https://orcid.org/0000-0001-8655-8272","contributorId":1979,"corporation":false,"usgs":true,"family":"Allen","given":"Craig","email":"allencr@usgs.gov","middleInitial":"R.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":476972,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Chaine, Noelle M.","contributorId":48456,"corporation":false,"usgs":true,"family":"Chaine","given":"Noelle","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":476974,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Haak, Danielle M.","contributorId":73078,"corporation":false,"usgs":true,"family":"Haak","given":"Danielle","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":476976,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Kill, Robert A.","contributorId":103538,"corporation":false,"usgs":true,"family":"Kill","given":"Robert","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":476979,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Pope, Kevin L. 0000-0003-1876-1687 kpope@usgs.gov","orcid":"https://orcid.org/0000-0003-1876-1687","contributorId":1574,"corporation":false,"usgs":true,"family":"Pope","given":"Kevin","email":"kpope@usgs.gov","middleInitial":"L.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":476971,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Stephen, Bruce J.","contributorId":54862,"corporation":false,"usgs":true,"family":"Stephen","given":"Bruce J.","affiliations":[],"preferred":false,"id":476975,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Wong, Alec","contributorId":79005,"corporation":false,"usgs":true,"family":"Wong","given":"Alec","email":"","affiliations":[],"preferred":false,"id":476978,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70045851,"text":"sir20135071 - 2013 - Continuous real-time water-quality monitoring and regression analysis to compute constituent concentrations and loads in the North Fork Ninnescah River upstream from Cheney Reservoir, south-central Kansas, 1999–2012","interactions":[],"lastModifiedDate":"2013-05-07T13:25:37","indexId":"sir20135071","displayToPublicDate":"2013-05-07T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2013-5071","title":"Continuous real-time water-quality monitoring and regression analysis to compute constituent concentrations and loads in the North Fork Ninnescah River upstream from Cheney Reservoir, south-central Kansas, 1999–2012","docAbstract":"Cheney Reservoir, located in south-central Kansas, is the primary water supply for the city of Wichita. The U.S. Geological Survey has operated a continuous real-time water-quality monitoring station since 1998 on the North Fork Ninnescah River, the main source of inflow to Cheney Reservoir. Continuously measured water-quality physical properties include streamflow, specific conductance, pH, water temperature, dissolved oxygen, and turbidity. Discrete water-quality samples were collected during 1999 through 2009 and analyzed for sediment, nutrients, bacteria, and other water-quality constituents. Regression models were developed to establish relations between discretely sampled constituent concentrations and continuously measured physical properties to compute concentrations of those constituents of interest that are not easily measured in real time because of limitations in sensor technology and fiscal constraints.  Regression models were published in 2006 that were based on data collected during 1997 through 2003. This report updates those models using discrete and continuous data collected during January 1999 through December 2009. Models also were developed for four new constituents, including additional nutrient species and indicator bacteria. In addition, a conversion factor of 0.68 was established to convert the Yellow Springs Instruments (YSI) model 6026 turbidity sensor measurements to the newer YSI model 6136 sensor at the North Ninnescah River upstream from Cheney Reservoir site. Newly developed models and 14 years of hourly continuously measured data were used to calculate selected constituent concentrations and loads during January 1999 through December 2012. The water-quality information in this report is important to the city of Wichita because it allows the concentrations of many potential pollutants of interest to Cheney Reservoir, including nutrients and sediment, to be estimated in real time and characterized over conditions and time scales that would not be possible otherwise.  In general, model forms and the amount of variance explained by the models was similar between the original and updated models. The amount of variance explained by the updated models changed by 10 percent or less relative to the original models. Total nitrogen, nitrate, organic nitrogen, E. coli bacteria, and total organic carbon models were newly developed for this report. Additional data collection over a wider range of hydrological conditions facilitated the development of these models. The nitrate model is particularly important because it allows for comparison to Cheney Reservoir Task Force goals.  Mean hourly computed total suspended solids concentration during 1999 through 2012 was 54 milligrams per liter (mg/L). The total suspended solids load during 1999 through 2012 was 174,031 tons. On an average annual basis, the Cheney Reservoir Task Force runoff (550 mg/L) and long-term (100 mg/L) total suspended solids goals were never exceeded, but the base flow goal was exceeded every year during 1999 through 2012. Mean hourly computed nitrate concentration was 1.08 mg/L during 1999 through 2012. The total nitrate load during 1999 through 2012 was 1,361 tons. On an annual average basis, the Cheney Reservoir Task Force runoff (6.60 mg/L) nitrate goal was never exceeded, the long-term goal (1.20 mg/L) was exceeded only in 2012, and the base flow goal of 0.25 mg/L was exceeded every year. Mean nitrate concentrations that were higher during base flow, rather than during runoff conditions, suggest that groundwater sources are the main contributors of nitrate to the North Fork Ninnescah River above Cheney Reservoir. Mean hourly computed phosphorus concentration was 0.14 mg/L during 1999 through 2012. The total phosphorus load during 1999 through 2012 was 328 tons. On an average annual basis, the Cheney Reservoir Task Force runoff goal of 0.40 mg/L for total phosphorus was exceeded in 2002, the year with the largest yearly mean turbidity, and the long-term goal (0.10 mg/L) was exceeded in every year except 2011 and 2012, the years with the smallest mean streamflows. The total phosphorus base flow goal of 0.05 mg/L was exceeded every year. Given that base flow goals for total suspended solids, nitrate, and total phosphorus were exceeded every year despite hydrologic conditions, the established base flow goals are either unattainable or substantially more best management practices will need to be implemented to attain them.  On an annual average basis, no discernible patterns were evident in total suspended sediment, nitrate, and total phosphorus concentrations or loads over time, in large part because of hydrologic variability. However, more rigorous statistical analyses are required to evaluate temporal trends. A more rigorous analysis of temporal trends will allow evaluation of watershed investments in best management practices.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20135071","collaboration":"Prepared in cooperation with the city of Wichita, Kansas","usgsCitation":"Stone, M.L., Graham, J.L., and Gatotho, J.W., 2013, Continuous real-time water-quality monitoring and regression analysis to compute constituent concentrations and loads in the North Fork Ninnescah River upstream from Cheney Reservoir, south-central Kansas, 1999–2012: U.S. Geological Survey Scientific Investigations Report 2013-5071, viii, 46 p., https://doi.org/10.3133/sir20135071.","productDescription":"viii, 46 p.","numberOfPages":"54","onlineOnly":"Y","additionalOnlineFiles":"N","costCenters":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"links":[{"id":272007,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20135071.gif"},{"id":272005,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2013/5071/"},{"id":272006,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2013/5071/sir13-5071.pdf"}],"country":"United States","state":"Kansas","otherGeospatial":"Cheney Reservoir;North Fork Ninnescah River","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -99.25,37.5 ], [ -99.25,38.16 ], [ -97.75,38.16 ], [ -97.75,37.5 ], [ -99.25,37.5 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"518a145be4b061e1bd53333b","contributors":{"authors":[{"text":"Stone, Mandy L. 0000-0002-6711-1536 mstone@usgs.gov","orcid":"https://orcid.org/0000-0002-6711-1536","contributorId":4409,"corporation":false,"usgs":true,"family":"Stone","given":"Mandy","email":"mstone@usgs.gov","middleInitial":"L.","affiliations":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"preferred":true,"id":478424,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Graham, Jennifer L. 0000-0002-6420-9335 jlgraham@usgs.gov","orcid":"https://orcid.org/0000-0002-6420-9335","contributorId":1769,"corporation":false,"usgs":true,"family":"Graham","given":"Jennifer","email":"jlgraham@usgs.gov","middleInitial":"L.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":478423,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gatotho, Jackline W.","contributorId":76616,"corporation":false,"usgs":true,"family":"Gatotho","given":"Jackline","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":478425,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70045855,"text":"70045855 - 2013 - Parallelization of a hydrological model using the message passing interface","interactions":[],"lastModifiedDate":"2013-05-07T14:33:07","indexId":"70045855","displayToPublicDate":"2013-05-07T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1551,"text":"Environmental Modelling and Software","active":true,"publicationSubtype":{"id":10}},"title":"Parallelization of a hydrological model using the message passing interface","docAbstract":"With the increasing knowledge about the natural processes, hydrological models such as the Soil and Water Assessment Tool (SWAT) are becoming larger and more complex with increasing computation time. Additionally, other procedures such as model calibration, which may require thousands of model iterations, can increase running time and thus further reduce rapid modeling and analysis. Using the widely-applied SWAT as an example, this study demonstrates how to parallelize a serial hydrological model in a Windows® environment using a parallel programing technology—Message Passing Interface (MPI). With a case study, we derived the optimal values for the two parameters (the number of processes and the corresponding percentage of work to be distributed to the master process) of the parallel SWAT (P-SWAT) on an ordinary personal computer and a work station. Our study indicates that model execution time can be reduced by 42%–70% (or a speedup of 1.74–3.36) using multiple processes (two to five) with a proper task-distribution scheme (between the master and slave processes). Although the computation time cost becomes lower with an increasing number of processes (from two to five), this enhancement becomes less due to the accompanied increase in demand for message passing procedures between the master and all slave processes. Our case study demonstrates that the P-SWAT with a five-process run may reach the maximum speedup, and the performance can be quite stable (fairly independent of a project size). Overall, the P-SWAT can help reduce the computation time substantially for an individual model run, manual and automatic calibration procedures, and optimization of best management practices. In particular, the parallelization method we used and the scheme for deriving the optimal parameters in this study can be valuable and easily applied to other hydrological or environmental models.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Environmental Modelling and Software","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","doi":"10.1016/j.envsoft.2013.02.002","usgsCitation":"Wu, Y., Li, T., Sun, L., and Chen, J., 2013, Parallelization of a hydrological model using the message passing interface: Environmental Modelling and Software, v. 43, p. 124-132, https://doi.org/10.1016/j.envsoft.2013.02.002.","productDescription":"9 p.","startPage":"124","endPage":"132","ipdsId":"IP-044027","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":272036,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":272010,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.envsoft.2013.02.002"}],"volume":"43","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"518a145de4b061e1bd533347","contributors":{"authors":[{"text":"Wu, Yiping ywu@usgs.gov","contributorId":987,"corporation":false,"usgs":true,"family":"Wu","given":"Yiping","email":"ywu@usgs.gov","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":478436,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Li, Tiejian","contributorId":25437,"corporation":false,"usgs":true,"family":"Li","given":"Tiejian","email":"","affiliations":[],"preferred":false,"id":478438,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sun, Liqun","contributorId":18249,"corporation":false,"usgs":true,"family":"Sun","given":"Liqun","email":"","affiliations":[],"preferred":false,"id":478437,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Chen, Ji","contributorId":101960,"corporation":false,"usgs":true,"family":"Chen","given":"Ji","email":"","affiliations":[],"preferred":false,"id":478439,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70045873,"text":"ofr20131017 - 2013 - Water-quality, bed-sediment, and biological data (October 2010 through September 2011) and statistical summaries of data for streams in the Clark Fork basin, Montana","interactions":[],"lastModifiedDate":"2013-05-07T15:55:52","indexId":"ofr20131017","displayToPublicDate":"2013-05-07T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2013-1017","title":"Water-quality, bed-sediment, and biological data (October 2010 through September 2011) and statistical summaries of data for streams in the Clark Fork basin, Montana","docAbstract":"Water, bed sediment, and biota were sampled in streams from Butte to near Missoula, Montana, as part of a monitoring program in the upper Clark Fork basin of western Montana; additional water samples were collected from near Galen to near Missoula at select sites as part of a supplemental sampling program. The sampling program was conducted by the U.S. Geological Survey in cooperation with the U.S. Environmental Protection Agency to characterize aquatic resources in the Clark Fork basin, with emphasis on trace elements associated with historic mining and smelting activities. Sampling sites were located on the Clark Fork and selected tributaries. Water samples were collected periodically at 20 sites from October 2010 through September 2011. Bed-sediment and biota samples were collected once at 14 sites during August 2011.  This report presents the analytical results and quality-assurance data for water-quality, bed-sediment, and biota samples collected at sites from October 2010 through September 2011. Water-quality data include concentrations of selected major ions, trace elements, and suspended sediment. Turbidity was analyzed for water samples collected at the four sites where seasonal daily values of turbidity were being determined. Daily values of suspended-sediment concentration and suspended-sediment discharge were determined for four sites. Bed-sediment data include trace-element concentrations in the fine-grained fraction. Biological data include trace-element concentrations in whole-body tissue of aquatic benthic insects. Statistical summaries of water-quality, bed-sediment, and biological data for sites in the upper Clark Fork basin are provided for the period of record since 1985.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20131017","collaboration":"Prepared in cooperation with the U.S. Environmental Protection Agency","usgsCitation":"Dodge, K.A., Hornberger, M.I., and Dyke, J., 2013, Water-quality, bed-sediment, and biological data (October 2010 through September 2011) and statistical summaries of data for streams in the Clark Fork basin, Montana: U.S. Geological Survey Open-File Report 2013-1017, vi, 134 p., https://doi.org/10.3133/ofr20131017.","productDescription":"vi, 134 p.","numberOfPages":"142","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":400,"text":"Montana Water Science Center","active":false,"usgs":true}],"links":[{"id":272046,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20131017.gif"},{"id":272044,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2013/1017/"},{"id":272045,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2013/1017/OF13-1017_508.pdf"}],"country":"United States","state":"Montana","otherGeospatial":"Clark Fork Basin","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -0.01638888888888889,0.0011111111111111111 ], [ -0.01638888888888889,0.0011111111111111111 ], [ -0.01638888888888889,0.0011111111111111111 ], [ -0.01638888888888889,0.0011111111111111111 ], [ -0.01638888888888889,0.0011111111111111111 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"518a1460e4b061e1bd533363","contributors":{"authors":[{"text":"Dodge, Kent A. kdodge@usgs.gov","contributorId":1036,"corporation":false,"usgs":true,"family":"Dodge","given":"Kent","email":"kdodge@usgs.gov","middleInitial":"A.","affiliations":[{"id":5050,"text":"WY-MT Water Science Center","active":true,"usgs":true}],"preferred":true,"id":478475,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hornberger, Michelle I. 0000-0002-7787-3446 mhornber@usgs.gov","orcid":"https://orcid.org/0000-0002-7787-3446","contributorId":1037,"corporation":false,"usgs":true,"family":"Hornberger","given":"Michelle","email":"mhornber@usgs.gov","middleInitial":"I.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":478476,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dyke, Jessica jldyke@usgs.gov","contributorId":1035,"corporation":false,"usgs":true,"family":"Dyke","given":"Jessica","email":"jldyke@usgs.gov","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":false,"id":478474,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70045856,"text":"70045856 - 2013 - Investigating the effects of point source and nonpoint source pollution on the water quality of the East River (Dongjiang) in South China","interactions":[],"lastModifiedDate":"2013-05-07T14:25:21","indexId":"70045856","displayToPublicDate":"2013-05-07T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1456,"text":"Ecological Indicators","active":true,"publicationSubtype":{"id":10}},"title":"Investigating the effects of point source and nonpoint source pollution on the water quality of the East River (Dongjiang) in South China","docAbstract":"Understanding the physical processes of point source (PS) and nonpoint source (NPS) pollution is critical to evaluate river water quality and identify major pollutant sources in a watershed. In this study, we used the physically-based hydrological/water quality model, Soil and Water Assessment Tool, to investigate the influence of PS and NPS pollution on the water quality of the East River (Dongjiang in Chinese) in southern China. Our results indicate that NPS pollution was the dominant contribution (>94%) to nutrient loads except for mineral phosphorus (50%). A comprehensive Water Quality Index (WQI) computed using eight key water quality variables demonstrates that water quality is better upstream than downstream despite the higher level of ammonium nitrogen found in upstream waters. Also, the temporal (seasonal) and spatial distributions of nutrient loads clearly indicate the critical time period (from late dry season to early wet season) and pollution source areas within the basin (middle and downstream agricultural lands), which resource managers can use to accomplish substantial reduction of NPS pollutant loadings. Overall, this study helps our understanding of the relationship between human activities and pollutant loads and further contributes to decision support for local watershed managers to protect water quality in this region. In particular, the methods presented such as integrating WQI with watershed modeling and identifying the critical time period and pollutions source areas can be valuable for other researchers worldwide.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Ecological Indicators","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","doi":"10.1016/j.ecolind.2013.04.002","usgsCitation":"Wu, Y., and Chen, J., 2013, Investigating the effects of point source and nonpoint source pollution on the water quality of the East River (Dongjiang) in South China: Ecological Indicators, v. 32, p. 294-304, https://doi.org/10.1016/j.ecolind.2013.04.002.","productDescription":"11 p.","startPage":"294","endPage":"304","ipdsId":"IP-044856","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":272033,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":272011,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.ecolind.2013.04.002"}],"country":"China","otherGeospatial":"Dongjiang","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ 73.5,18.2 ], [ 73.5,53.6 ], [ 134.8,53.6 ], [ 134.8,18.2 ], [ 73.5,18.2 ] ] ] } } ] }","volume":"32","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"518a145be4b061e1bd53333f","contributors":{"authors":[{"text":"Wu, Yiping ywu@usgs.gov","contributorId":987,"corporation":false,"usgs":true,"family":"Wu","given":"Yiping","email":"ywu@usgs.gov","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":478440,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Chen, Ji","contributorId":101960,"corporation":false,"usgs":true,"family":"Chen","given":"Ji","email":"","affiliations":[],"preferred":false,"id":478441,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70045884,"text":"sir20125242 - 2013 - Simulations of groundwater flow, transport, and age in Albuquerque, New Mexico, for a study of transport of anthropogenic and natural contaminants (TANC) to public-supply wells","interactions":[],"lastModifiedDate":"2013-05-07T21:26:46","indexId":"sir20125242","displayToPublicDate":"2013-05-07T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2012-5242","title":"Simulations of groundwater flow, transport, and age in Albuquerque, New Mexico, for a study of transport of anthropogenic and natural contaminants (TANC) to public-supply wells","docAbstract":"Vulnerability to contamination from manmade and natural sources can be characterized by the groundwater-age distribution measured in a supply well and the associated implications for the source depths of the withdrawn water. Coupled groundwater flow and transport models were developed to simulate the transport of the geochemical age-tracers carbon-14, tritium, and three chlorofluorocarbon species to public-supply wells in Albuquerque, New Mexico. A separate, regional-scale simulation of transport of carbon-14 that used the flow-field computed by a previously documented regional groundwater flow model was calibrated and used to specify the initial concentrations of carbon-14 in the local-scale transport model. Observations of the concentrations of each of the five chemical species, in addition to water-level observations and measurements of intra-borehole flow within a public-supply well, were used to calibrate parameters of the local-scale groundwater flow and transport models.\n\nThe calibrated groundwater flow model simulates the mixing of “young” groundwater, which entered the groundwater flow system after 1950 as recharge at the water table, with older resident groundwater that is more likely associated with natural contaminants. Complexity of the aquifer system in the zone of transport between the water table and public-supply well screens was simulated with a geostatistically generated stratigraphic realization based upon observed lithologic transitions at borehole control locations. Because effective porosity was simulated as spatially uniform, the simulated age tracers are more efficiently transported through the portions of the simulated aquifer with relatively higher simulated hydraulic conductivity. Non-pumping groundwater wells with long screens that connect aquifer intervals having different hydraulic heads can provide alternate pathways for contaminant transport that are faster than the advective transport through the aquifer material. Simulation of flow and transport through these wells requires time discretization that adequately represents periods of pumping and non-pumping. The effects of intra-borehole flow are not fully represented in the simulation because it employs seasonal stress periods, which are longer than periods of pumping and non-pumping. Further simulations utilizing daily pumpage data and model stress periods may help quantify the relative effects of intra-borehole versus advective aquifer flow on the transport of contaminants near the public-supply wells. The fraction of young water withdrawn from the studied supply well varies with simulated pumping rates due to changes in the relative contributions to flow from different aquifer intervals.\n\nThe advective transport of dissolved solutes from a known contaminant source to the public-supply wells was simulated by using particle-tracking. Because of the transient groundwater flow field, scenarios with alternative contaminant release times result in different simulated-particle fates, most of which are withdrawn from the aquifer at wells that are between the source and the studied supply well. The relatively small effective porosity required to simulate advective transport from the simulated contaminant source to the studied supply well is representative of a preferential pathway and not the predominant aquifer effective porosity that was estimated by the calibration of the model to observed chemical-tracer concentrations.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20125242","collaboration":"National Water-Quality Assessment Program","usgsCitation":"Heywood, C.E., 2013, Simulations of groundwater flow, transport, and age in Albuquerque, New Mexico, for a study of transport of anthropogenic and natural contaminants (TANC) to public-supply wells: U.S. Geological Survey Scientific Investigations Report 2012-5242, ix, 51 p., https://doi.org/10.3133/sir20125242.","productDescription":"ix, 51 p.","numberOfPages":"65","onlineOnly":"Y","additionalOnlineFiles":"N","costCenters":[{"id":614,"text":"Virginia Water Science Center","active":true,"usgs":true}],"links":[{"id":272049,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20125242.gif"},{"id":272047,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2012/5242/"},{"id":272048,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2012/5242/pdf/sir2012-5242.pdf"}],"country":"United States","state":"New Mexico","city":"Albuquerque","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -106.088,34.95 ], [ -106.088,35.22 ], [ -106.47,35.22 ], [ -106.47,34.95 ], [ -106.088,34.95 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"518a145fe4b061e1bd533357","contributors":{"authors":[{"text":"Heywood, Charles E. cheywood@usgs.gov","contributorId":2043,"corporation":false,"usgs":true,"family":"Heywood","given":"Charles","email":"cheywood@usgs.gov","middleInitial":"E.","affiliations":[{"id":614,"text":"Virginia Water Science Center","active":true,"usgs":true}],"preferred":true,"id":478477,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70045818,"text":"70045818 - 2013 - Present, future, and novel bioclimates of the San Francisco, California region","interactions":[],"lastModifiedDate":"2018-09-27T10:54:26","indexId":"70045818","displayToPublicDate":"2013-05-07T00:00:00","publicationYear":"2013","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":"Present, future, and novel bioclimates of the San Francisco, California region","docAbstract":"Bioclimates are syntheses of climatic variables into biologically relevant categories that facilitate comparative studies of biotic responses to climate conditions. Isobioclimates, unique combinations of bioclimatic indices (continentality, ombrotype, and thermotype), were constructed for northern California coastal ranges based on the Rivas-Martinez worldwide bioclimatic classification system for the end of the 20th century climatology (1971–2000) and end of the 21st century climatology (2070–2099) using two models, Geophysical Fluid Dynamics Laboratory (GFDL) model and the Parallel Climate Model (PCM), under the medium-high A2 emission scenario. The digitally mapped results were used to 1) assess the relative redistribution of isobioclimates and their magnitude of change, 2) quantify the loss of isobioclimates into the future, 3) identify and locate novel isobioclimates projected to appear, and 4) explore compositional change in vegetation types among analog isobioclimate patches. This study used downscaled climate variables to map the isobioclimates at a fine spatial resolution −270 m grid cells. Common to both models of future climate was a large change in thermotype. Changes in ombrotype differed among the two models. The end of 20th century climatology has 83 isobioclimates covering the 63,000 km2 study area. In both future projections 51 of those isobioclimates disappear over 40,000 km2. The ordination of vegetation-bioclimate relationships shows very strong correlation of Rivas-Martinez indices with vegetation distribution and composition. Comparisons of vegetation composition among analog patches suggest that vegetation change will be a local rearrangement of species already in place rather than one requiring long distance dispersal. The digitally mapped results facilitate comparison with other Mediterranean regions. Major remaining challenges include predicting vegetation composition of novel isobioclimates and developing metrics to compare differences in climate space.","language":"English","publisher":"Public Library of Science","doi":"10.1371/journal.pone.0058450","usgsCitation":"Torregrosa, A.A., Taylor, M.D., Flint, L.E., and Flint, A.L., 2013, Present, future, and novel bioclimates of the San Francisco, California region: PLoS ONE, v. 8, no. 3, p. 1-14, https://doi.org/10.1371/journal.pone.0058450.","productDescription":"e58450; 14 p.","startPage":"1","endPage":"14","ipdsId":"IP-039134","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true},{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"links":[{"id":473836,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0058450","text":"Publisher Index Page"},{"id":271907,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":271906,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1371/journal.pone.0058450"}],"country":"United States","state":"California","city":"San Francisco","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -124.4,32.5 ], [ -124.4,42.0 ], [ -114.1,42.0 ], [ -114.1,32.5 ], [ -124.4,32.5 ] ] ] } } ] }","volume":"8","issue":"3","noUsgsAuthors":false,"publicationDate":"2013-03-20","publicationStatus":"PW","scienceBaseUri":"518a145ee4b061e1bd53334f","contributors":{"authors":[{"text":"Torregrosa, Alicia A. 0000-0001-7361-2241 atorregrosa@usgs.gov","orcid":"https://orcid.org/0000-0001-7361-2241","contributorId":3471,"corporation":false,"usgs":true,"family":"Torregrosa","given":"Alicia","email":"atorregrosa@usgs.gov","middleInitial":"A.","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":478389,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Taylor, Maxwell D.","contributorId":6360,"corporation":false,"usgs":true,"family":"Taylor","given":"Maxwell","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":478390,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Flint, Lorraine E. 0000-0002-7868-441X lflint@usgs.gov","orcid":"https://orcid.org/0000-0002-7868-441X","contributorId":1184,"corporation":false,"usgs":true,"family":"Flint","given":"Lorraine","email":"lflint@usgs.gov","middleInitial":"E.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":478387,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Flint, Alan L. 0000-0002-5118-751X aflint@usgs.gov","orcid":"https://orcid.org/0000-0002-5118-751X","contributorId":1492,"corporation":false,"usgs":true,"family":"Flint","given":"Alan","email":"aflint@usgs.gov","middleInitial":"L.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true},{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":478388,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70045803,"text":"ofr20131097 - 2013 - Mercury and water-quality data from Rink Creek, Salmon River, and Good River, Glacier Bay National Park and Preserve, Alaska, November 2009-October 2011","interactions":[],"lastModifiedDate":"2013-05-06T12:39:33","indexId":"ofr20131097","displayToPublicDate":"2013-05-06T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2013-1097","title":"Mercury and water-quality data from Rink Creek, Salmon River, and Good River, Glacier Bay National Park and Preserve, Alaska, November 2009-October 2011","docAbstract":"Glacier Bay National Park and Preserve (GBNPP), Alaska, like many pristine high latitude areas, is exposed to atmospherically deposited contaminants such as mercury (Hg). Although the harmful effects of Hg are well established, information on this contaminant in southeast Alaska is scarce. Here, we assess the level of this contaminant in several aquatic components (water, sediments, and biological tissue) in three adjacent, small streams in GBNPP that drain contrasting landscapes but receive similar atmospheric inputs: Rink Creek, Salmon River, and Good River.\n\nTwenty water samples were collected from 2009 to 2011 and processed and analyzed for total mercury and methylmercury (filtered and particulate), and dissolved organic carbon quantity and quality. Ancillary stream water parameters (discharge, pH, dissolved oxygen, specific conductance, and temperature) were measured at the time of sampling. Major cations, anions, and nutrients were measured four times. In addition, total mercury was analyzed in streambed sediment in 2010 and in juvenile coho salmon and several taxa of benthic macroinvertebrates in the early summer of 2010 and 2011.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20131097","collaboration":"Prepared in cooperation with the National Park Service","usgsCitation":"Nagorski, S.A., Neal, E., and Brabets, T.P., 2013, Mercury and water-quality data from Rink Creek, Salmon River, and Good River, Glacier Bay National Park and Preserve, Alaska, November 2009-October 2011: U.S. Geological Survey Open-File Report 2013-1097, vi, 20 p., https://doi.org/10.3133/ofr20131097.","productDescription":"vi, 20 p.","numberOfPages":"30","onlineOnly":"Y","additionalOnlineFiles":"N","temporalStart":"2009-11-01","temporalEnd":"2011-10-31","costCenters":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"links":[{"id":271881,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20131097.jpg"},{"id":271879,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2013/1097/"},{"id":271880,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2013/1097/pdf/ofr20131097.pdf"}],"country":"United States","state":"Alaska","otherGeospatial":"Glacier Bay National Park","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -138.22,58.43 ], [ -138.22,59.24 ], [ -135.78,59.24 ], [ -135.78,58.43 ], [ -138.22,58.43 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5188d46ce4b023d2d75b9a3c","contributors":{"authors":[{"text":"Nagorski, Sonia A.","contributorId":32940,"corporation":false,"usgs":true,"family":"Nagorski","given":"Sonia","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":478374,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Neal, Edward G.","contributorId":68775,"corporation":false,"usgs":true,"family":"Neal","given":"Edward G.","affiliations":[],"preferred":false,"id":478375,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Brabets, Timothy P. tbrabets@usgs.gov","contributorId":2087,"corporation":false,"usgs":true,"family":"Brabets","given":"Timothy","email":"tbrabets@usgs.gov","middleInitial":"P.","affiliations":[],"preferred":true,"id":478373,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70173425,"text":"70173425 - 2013 - Microhabitat use of the diamond darter","interactions":[],"lastModifiedDate":"2016-06-16T15:44:18","indexId":"70173425","displayToPublicDate":"2013-05-06T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1471,"text":"Ecology of Freshwater Fish","active":true,"publicationSubtype":{"id":10}},"title":"Microhabitat use of the diamond darter","docAbstract":"<p><span>The only known extant population of the diamond darter (</span><i>Crystallaria cincotta</i><span>) exists in the lower 37&nbsp;km of Elk River, WV, USA. Our understanding of diamond darter habitat use was previously limited, because few individuals have been observed during sampling with conventional gears. We quantified microhabitat use of diamond darters based on measurements of water depth, water velocity and per cent substrate composition. Using spotlights at night-time, we sampled 16 sites within the lower 133&nbsp;km of Elk River and observed a total of 82 diamond darters at 10 of 11 sampling sites within the lower 37&nbsp;km. Glides, located immediately upstream of riffles, were the primary habitats sampled for diamond darters, which included relatively shallow depths (&lt;1&nbsp;m), moderate-to-low water velocities (often&nbsp;&lt;&nbsp;0.5&nbsp;m&middot;s</span><sup>&minus;1</sup><span>) and a smooth water surface. Microhabitat use (mean &plusmn; SE) of diamond darters was estimated for depth (0.47&nbsp;&plusmn;&nbsp;0.02&nbsp;m), average velocity (0.27&nbsp;&plusmn;&nbsp;0.01&nbsp;m&middot;s</span><sup>&minus;1</sup><span>) and bottom velocity (0.15&nbsp;&plusmn;&nbsp;0.01&nbsp;m&middot;s</span><sup>&minus;1</sup><span>). Substrate used (mean &plusmn; SE) by diamond darters was predominantly sand intermixed with lesser amounts of gravel and cobble: % sand (52.1&nbsp;&plusmn;&nbsp;1.6), % small gravel (12.2&nbsp;&plusmn;&nbsp;0.78), % large gravel (14.2&nbsp;&plusmn;&nbsp;0.83), % cobble (19.8&nbsp;&plusmn;&nbsp;0.96) and % boulder (1.6&nbsp;&plusmn;&nbsp;0.36). Based on our microhabitat use data, conservation and management efforts for this species should consider preserving glide habitats within Elk River. Spotlighting, a successful sampling method for diamond darters, should be considered for study designs of population estimation and long-term monitoring.</span></p>","language":"English","publisher":"Wiley","doi":"10.1111/eff.12062","usgsCitation":"Welsh, S., Smith, D.M., and Taylor, N.D., 2013, Microhabitat use of the diamond darter: Ecology of Freshwater Fish, v. 22, no. 4, p. 587-595, https://doi.org/10.1111/eff.12062.","productDescription":"9 p.","startPage":"587","endPage":"595","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-043471","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":473842,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/eff.12062","text":"Publisher Index Page"},{"id":323796,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"West Virginia","otherGeospatial":"Elk River","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -81.62704467773438,\n              38.37019391098433\n            ],\n            [\n              -81.53915405273438,\n              38.430463025162666\n            ],\n            [\n              -81.35856628417967,\n              38.501967316378874\n            ],\n            [\n              -81.19171142578125,\n              38.517549061739984\n            ],\n            [\n              -81.12510681152344,\n              38.484769753492536\n            ],\n            [\n              -81.04133605957031,\n              38.55031345037904\n            ],\n            [\n              -80.91087341308594,\n              38.60560305052739\n            ],\n            [\n              -80.86851596832275,\n        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swelsh@usgs.gov","orcid":"https://orcid.org/0000-0003-0362-054X","contributorId":152088,"corporation":false,"usgs":true,"family":"Welsh","given":"Stuart A.","email":"swelsh@usgs.gov","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":false,"id":637109,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Smith, Dustin M.","contributorId":171829,"corporation":false,"usgs":false,"family":"Smith","given":"Dustin","email":"","middleInitial":"M.","affiliations":[{"id":12432,"text":"West Virginia University","active":true,"usgs":false}],"preferred":false,"id":639404,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Taylor, Nate D.","contributorId":172042,"corporation":false,"usgs":false,"family":"Taylor","given":"Nate","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":639405,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70060519,"text":"70060519 - 2013 - Salamander colonization of Chase Lake, Stutsman County, North Dakota","interactions":[],"lastModifiedDate":"2018-01-04T12:17:19","indexId":"70060519","displayToPublicDate":"2013-05-05T13:25:08","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3580,"text":"The Prairie Naturalist","active":true,"publicationSubtype":{"id":10}},"title":"Salamander colonization of Chase Lake, Stutsman County, North Dakota","docAbstract":"Salt concentrations in lakes are dynamic. In the western United States, water diversions have caused significant declines in lake levels resulting in increased salinity, placing many aquatic species at risk (Galat and Robinson 1983, Beutel et al. 2001). Severe droughts can have similar effects on salt concentrations and aquatic communities (Swanson et al. 2003). Conversely, large inputs of water can dilute salt concentrations and contribute to community shifts (Euliss et al. 2004).","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"The Prairie Naturalist","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"South Dakota State University","usgsCitation":"Mushet, D.M., McLean, K., and Stockwell, C., 2013, Salamander colonization of Chase Lake, Stutsman County, North Dakota: The Prairie Naturalist, v. 45, p. 106-108.","productDescription":"3 p.","startPage":"106","endPage":"108","ipdsId":"IP-041798","costCenters":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":287145,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"North Dakota","county":"Stutsman County","otherGeospatial":"Chase Lake","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -99.48,46.63 ], [ -99.48,47.33 ], [ -98.44,47.33 ], [ -98.44,46.63 ], [ -99.48,46.63 ] ] ] } } ] }","volume":"45","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53749075e4b0870f4d23cfec","contributors":{"authors":[{"text":"Mushet, David M. 0000-0002-5910-2744 dmushet@usgs.gov","orcid":"https://orcid.org/0000-0002-5910-2744","contributorId":1299,"corporation":false,"usgs":true,"family":"Mushet","given":"David","email":"dmushet@usgs.gov","middleInitial":"M.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":487891,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McLean, Kyle I.","contributorId":63316,"corporation":false,"usgs":true,"family":"McLean","given":"Kyle I.","affiliations":[],"preferred":false,"id":487893,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Stockwell, Craig A.","contributorId":55257,"corporation":false,"usgs":true,"family":"Stockwell","given":"Craig A.","affiliations":[],"preferred":false,"id":487892,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
]}