{"pageNumber":"607","pageRowStart":"15150","pageSize":"25","recordCount":69035,"records":[{"id":70189900,"text":"70189900 - 2013 - Temporal and spatial variability of global water balance","interactions":[],"lastModifiedDate":"2017-09-20T15:01:20","indexId":"70189900","displayToPublicDate":"2013-09-01T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1252,"text":"Climatic Change","active":true,"publicationSubtype":{"id":10}},"title":"Temporal and spatial variability of global water balance","docAbstract":"An analysis of simulated global water-balance components (precipitation [P], actual evapotranspiration [AET], runoff [R], and potential evapotranspiration [PET]) for the past century indicates that P has been the primary driver of variability in R. Additionally, since about 2000, there have been increases in P, AET, R, and PET for most of the globe. The increases in R during 2000 through 2009 have occurred despite unprecedented increases in PET. The increases in R are the result of substantial increases in P during the cool Northern Hemisphere months (i.e. October through March) when PET increases were relatively small; the largest PET increases occurred during the warm Northern Hemisphere months (April through September). Additionally, for the 2000 through 2009 period, the latitudinal distribution of P departures appears to co-vary with the mean P departures from 16 climate model projections of the latitudinal response of P to warming, except in the high latitudes. Finally, changes in water-balance variables appear large from the perspective of departures from the long-term means. However, when put into the context of the magnitudes of the raw water balance variable values, there appears to have been little change in any of the water-balance variables over the past century on a global or hemispheric scale.
","language":"English","publisher":"Springer","doi":"10.1007/s10584-013-0798-0","usgsCitation":"McCabe, G., and Wolock, D.M., 2013, Temporal and spatial variability of global water balance: Climatic Change, v. 120, no. 1-2, p. 375-387, https://doi.org/10.1007/s10584-013-0798-0.","productDescription":"13 p.","startPage":"375","endPage":"387","ipdsId":"IP-045355","costCenters":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"links":[{"id":344460,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"120","issue":"1-2","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2013-06-05","publicationStatus":"PW","scienceBaseUri":"5980419ce4b0a38ca2789364","contributors":{"authors":[{"text":"McCabe, Gregory J. 0000-0002-9258-2997 gmccabe@usgs.gov","orcid":"https://orcid.org/0000-0002-9258-2997","contributorId":167116,"corporation":false,"usgs":true,"family":"McCabe","given":"Gregory J.","email":"gmccabe@usgs.gov","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":false,"id":706687,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wolock, David M. 0000-0002-6209-938X dwolock@usgs.gov","orcid":"https://orcid.org/0000-0002-6209-938X","contributorId":540,"corporation":false,"usgs":true,"family":"Wolock","given":"David","email":"dwolock@usgs.gov","middleInitial":"M.","affiliations":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true},{"id":503,"text":"Office of Water Quality","active":true,"usgs":true},{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true},{"id":27111,"text":"National Water Quality Program","active":true,"usgs":true},{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"preferred":true,"id":706686,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70154965,"text":"70154965 - 2013 - Microhabitat selection, demography, and correlates of home range size for the King Rail (Rallus elegans)","interactions":[],"lastModifiedDate":"2015-07-22T10:42:54","indexId":"70154965","displayToPublicDate":"2013-09-01T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3731,"text":"Waterbirds","onlineIssn":"19385390","printIssn":"15244695","active":true,"publicationSubtype":{"id":10}},"title":"Microhabitat selection, demography, and correlates of home range size for the King Rail (Rallus elegans)","docAbstract":"Animal movements and habitat selection within the home range, or microhabitat selection, can provide insights into habitat requirements, such as foraging and area requirements. The King Rail (Rallus elegans) is a wetland bird of high conservation concern in the United States, but little is known about its movements, habitats, or demography. King Rails (n = 34) were captured during the 2010–2011 breeding seasons in the coastal marshes of southwest Louisiana and southeast Texas. Radio telemetry and direct habitat surveys of King Rail locations were conducted to estimate home ranges and microhabitat selection. Within home ranges, King Rails selected for greater plant species richness and comparatively greater coverage of Phragmites australis, Typha spp., and Schoenoplectus robustus. King Rails were found closer to open water compared to random locations placed 50 m from King Rail locations. Home ranges (n = 22) varied from 0.8–32.8 ha and differed greatly among sites. Home range size did not vary by year or sex; however, increased open water, with a maximum of 29% observed in the study, was correlated with smaller home ranges. Breeding season cumulative survivorship was 89% ± 22% in 2010 and 61% ± 43% in 2011, which coincided with a drought. With an equal search effort, King Rail chicks and juveniles observed in May-June decreased from 110 in 2010 to only 16 in the drier year of 2011. The findings show King Rail used marsh with ≤ 29% open water and had smaller home ranges when open water was more abundant.
","language":"English","publisher":"The Waterbird Society","doi":"10.1675/063.036.0309","usgsCitation":"Pickens, B.A., and King, S.L., 2013, Microhabitat selection, demography, and correlates of home range size for the King Rail (Rallus elegans): Waterbirds, v. 36, no. 3, p. 319-329, https://doi.org/10.1675/063.036.0309.","productDescription":"11 p.","startPage":"319","endPage":"329","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-041384","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":305885,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Louisiana, Texas","otherGeospatial":"Cameron Prairie National Wildlife Refuge; JD Murphree Wildlife Management Area; McFaddin National Wildlife Refuge","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -93.11187744140625,\n 29.864465259258\n ],\n [\n -93.11187744140625,\n 29.973970240516614\n ],\n [\n -92.98004150390625,\n 29.973970240516614\n ],\n [\n -92.98004150390625,\n 29.864465259258\n ],\n [\n -93.11187744140625,\n 29.864465259258\n ]\n ]\n ]\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -94.13154602050781,\n 29.82813541108161\n ],\n [\n -94.13154602050781,\n 29.956719300555342\n ],\n [\n -93.95027160644531,\n 29.956719300555342\n ],\n [\n -93.95027160644531,\n 29.82813541108161\n ],\n [\n -94.13154602050781,\n 29.82813541108161\n ]\n ]\n ]\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -94.48791503906249,\n 29.5232805008286\n ],\n [\n -94.48791503906249,\n 29.740532166753606\n ],\n [\n -94.16656494140625,\n 29.740532166753606\n ],\n [\n -94.16656494140625,\n 29.5232805008286\n ],\n [\n -94.48791503906249,\n 29.5232805008286\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"36","issue":"3","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"55b0beaee4b09a3b01b5309c","contributors":{"authors":[{"text":"Pickens, Bradley A.","contributorId":140926,"corporation":false,"usgs":false,"family":"Pickens","given":"Bradley","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":565295,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"King, Sammy L. 0000-0002-5364-6361 sking@usgs.gov","orcid":"https://orcid.org/0000-0002-5364-6361","contributorId":557,"corporation":false,"usgs":true,"family":"King","given":"Sammy","email":"sking@usgs.gov","middleInitial":"L.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":564416,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70137560,"text":"70137560 - 2013 - Ultimate pier and contraction scour prediction in cohesive soils at selected bridges in Illinois","interactions":[],"lastModifiedDate":"2015-06-05T15:06:17","indexId":"70137560","displayToPublicDate":"2013-09-01T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":4,"text":"Other Government Series"},"seriesTitle":{"id":3875,"text":"Illinois Center for Transportation Series","active":true,"publicationSubtype":{"id":10}},"seriesNumber":"FHWA‐ICT‐13‐025","title":"Ultimate pier and contraction scour prediction in cohesive soils at selected bridges in Illinois","docAbstract":"The Scour Rate In COhesive Soils-Erosion Function Apparatus (SRICOS-EFA) method includes an ultimate scour prediction that is the equilibrium maximum pier and contraction scour of cohesive soils over time. The purpose of this report is to present the results of testing the ultimate pier and contraction scour methods for cohesive soils on 30 bridge sites in Illinois. Comparison of the ultimate cohesive and noncohesive methods, along with the Illinois Department of Transportation (IDOT) cohesive soil reduction-factor method and measured scour are presented. Also, results of the comparison of historic IDOT laboratory and field values of unconfined compressive strength of soils (Qu) are presented. The unconfined compressive strength is used in both ultimate cohesive and reduction-factor methods, and knowing how the values from field methods compare to the laboratory methods is critical to the informed application of the methods. On average, the non-cohesive method results predict the highest amount of scour, followed by the reduction-factor method results; and the ultimate cohesive method results predict the lowest amount of scour. The 100-year scour predicted for the ultimate cohesive, noncohesive, and reduction-factor methods for each bridge site and soil are always larger than observed scour in this study, except 12% of predicted values that are all within 0.4 ft of the observed scour. The ultimate cohesive scour prediction is smaller than the non-cohesive scour prediction method for 78% of bridge sites and soils. Seventy-six percent of the ultimate cohesive predictions show a 45% or greater reduction from the non-cohesive predictions that are over 10 ft. Comparing the ultimate cohesive and reduction-factor 100-year scour predictions methods for each bridge site and soil, the scour predicted by the ultimate cohesive scour prediction method is less than the reduction-factor 100-year scour prediction method for 51% of bridge sites and soils. Critical shear stress remains a needed parameter in the ultimate scour prediction for cohesive soils. The unconfined soil compressive strength measured by IDOT in the laboratory was found to provide a good prediction of critical shear stress, as measured by using the erosion function apparatus in a previous study. Because laboratory Qu analyses are time-consuming and expensive, the ability of field-measured Rimac data to estimate unconfined soil strength in the critical shear–soil strength relation was tested. A regression analysis was completed using a historic IDOT dataset containing 366 data pairs of laboratory Qu and field Rimac measurements from common sites with cohesive soils. The resulting equations provide a point prediction of Qu, given any Rimac value with the 90% confidence interval. The prediction equations are not significantly different from the identity Qu = Rimac. The alternative predictions of ultimate cohesive scour presented in this study assume Qu will be estimated using Rimac measurements that include computed uncertainty. In particular, the ultimate cohesive predicted scour is greater than observed scour for the entire 90% confidence interval range for predicting Qu at the bridges and soils used in this study, with the exception of the six predicted values that are all within 0.6 ft of the observed scour.
","language":"English","publisher":"Illinois Center for Transportation","usgsCitation":"Straub, T., Over, T.M., and Domanski, M.M., 2013, Ultimate pier and contraction scour prediction in cohesive soils at selected bridges in Illinois: Illinois Center for Transportation Series FHWA‐ICT‐13‐025, iii, 40 p.","productDescription":"iii, 40 p.","numberOfPages":"49","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-040456","costCenters":[{"id":344,"text":"Illinois Water Science Center","active":true,"usgs":true}],"links":[{"id":298770,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":297093,"type":{"id":15,"text":"Index Page"},"url":"https://hdl.handle.net/2142/45749"}],"country":"United States","state":"Illinois","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -89.11560058593749,\n 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,{"id":70143408,"text":"70143408 - 2013 - Extreme rainfall, vulnerability and risk: a continental-scale assessment for South America","interactions":[],"lastModifiedDate":"2015-03-19T09:18:56","indexId":"70143408","displayToPublicDate":"2013-09-01T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3047,"text":"Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences","active":true,"publicationSubtype":{"id":10}},"title":"Extreme rainfall, vulnerability and risk: a continental-scale assessment for South America","docAbstract":"Extreme weather continues to preoccupy society as a formidable public safety concern bearing huge economic costs. While attention has focused on global climate change and how it could intensify key elements of the water cycle such as precipitation and river discharge, it is the conjunction of geophysical and socioeconomic forces that shapes human sensitivity and risks to weather extremes. We demonstrate here the use of high-resolution geophysical and population datasets together with documentary reports of rainfall-induced damage across South America over a multi-decadal, retrospective time domain (1960–2000). We define and map extreme precipitation hazard, exposure, affectedpopulations, vulnerability and risk, and use these variables to analyse the impact of floods as a water security issue. Geospatial experiments uncover major sources of risk from natural climate variability and population growth, with change in climate extremes bearing a minor role. While rural populations display greatest relative sensitivity to extreme rainfall, urban settings show the highest rates of increasing risk. In the coming decades, rapid urbanization will make South American cities the focal point of future climate threats but also an opportunity for reducing vulnerability, protecting lives and sustaining economic development through both traditional and ecosystem-based disaster risk management systems.
","language":"English","publisher":"Royal Society Publishing","doi":"10.1098/rsta.2012.0408","usgsCitation":"Vorosmarty, C.J., de Guenni, L.B., Wollheim, W.M., Pellerin, B.A., Bjerklie, D.M., Cardoso, M., D’Almeida, C., and Colon, L., 2013, Extreme rainfall, vulnerability and risk: a continental-scale assessment for South America: Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, no. 371, 17 p., https://doi.org/10.1098/rsta.2012.0408.","productDescription":"17 p.","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-043036","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":298738,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"South America","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -83.84765625,\n -55.27911529201562\n ],\n [\n -83.84765625,\n 13.581920900545844\n ],\n [\n -34.62890625,\n 13.581920900545844\n ],\n [\n -34.62890625,\n -55.27911529201562\n ],\n [\n -83.84765625,\n -55.27911529201562\n ]\n ]\n ]\n }\n }\n ]\n}","issue":"371","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationDate":"2013-11-13","publicationStatus":"PW","scienceBaseUri":"550bf32fe4b02e76d759cdea","contributors":{"authors":[{"text":"Vorosmarty, Charles J.","contributorId":139738,"corporation":false,"usgs":false,"family":"Vorosmarty","given":"Charles","email":"","middleInitial":"J.","affiliations":[{"id":590,"text":"U.S. Army Corps of Engineers","active":false,"usgs":false}],"preferred":false,"id":542714,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"de Guenni, Lelys Bravo","contributorId":139740,"corporation":false,"usgs":false,"family":"de Guenni","given":"Lelys","email":"","middleInitial":"Bravo","affiliations":[{"id":590,"text":"U.S. Army Corps of Engineers","active":false,"usgs":false}],"preferred":false,"id":542716,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wollheim, Wilfred M.","contributorId":139742,"corporation":false,"usgs":false,"family":"Wollheim","given":"Wilfred","email":"","middleInitial":"M.","affiliations":[{"id":18105,"text":"University of New Hampshire, Durham","active":true,"usgs":false}],"preferred":false,"id":542718,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Pellerin, Brian A. bpeller@usgs.gov","contributorId":1451,"corporation":false,"usgs":true,"family":"Pellerin","given":"Brian","email":"bpeller@usgs.gov","middleInitial":"A.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":false,"id":542713,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bjerklie, David M. 0000-0002-9890-4125 dmbjerkl@usgs.gov","orcid":"https://orcid.org/0000-0002-9890-4125","contributorId":3589,"corporation":false,"usgs":true,"family":"Bjerklie","given":"David","email":"dmbjerkl@usgs.gov","middleInitial":"M.","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true},{"id":196,"text":"Connecticut Water Science Center","active":true,"usgs":true}],"preferred":true,"id":542715,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Cardoso, Manoel","contributorId":139741,"corporation":false,"usgs":false,"family":"Cardoso","given":"Manoel","email":"","affiliations":[{"id":590,"text":"U.S. Army Corps of Engineers","active":false,"usgs":false}],"preferred":false,"id":542717,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"D’Almeida, Cassiano","contributorId":139743,"corporation":false,"usgs":false,"family":"D’Almeida","given":"Cassiano","email":"","affiliations":[{"id":12900,"text":"National Council for Scientific and Technological Development (CNPq)","active":true,"usgs":false}],"preferred":false,"id":542719,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Colon, Lilybeth","contributorId":139744,"corporation":false,"usgs":false,"family":"Colon","given":"Lilybeth","email":"","affiliations":[{"id":12901,"text":"City College of New York, Civil Engineering","active":true,"usgs":false}],"preferred":false,"id":542720,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70150422,"text":"70150422 - 2013 - Frameworks for amending reservoir water management","interactions":[],"lastModifiedDate":"2015-06-24T14:47:31","indexId":"70150422","displayToPublicDate":"2013-09-01T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2592,"text":"Lake and Reservoir Management","active":true,"publicationSubtype":{"id":10}},"title":"Frameworks for amending reservoir water management","docAbstract":"Managing water storage and withdrawals in many reservoirs requires establishing seasonal targets for water levels (i.e., rule curves) that are influenced by regional precipitation and diverse water demands. Rule curves are established as an attempt to balance various water needs such as flood control, irrigation, and environmental benefits such as fish and wildlife management. The processes and challenges associated with amending rule curves to balance multiuse needs are complicated and mostly unfamiliar to non-US Army Corps of Engineers (USACE) natural resource managers and to the public. To inform natural resource managers and the public we describe the policies and process involved in amending rule curves in USACE reservoirs, including 3 frameworks: a general investigation, a continuing authority program, and the water control plan. Our review suggests that water management in reservoirs can be amended, but generally a multitude of constraints and competing demands must be addressed before such a change can be realized.
","language":"English","publisher":"Taylor & Francis","doi":"10.1080/10402381.2013.829893","usgsCitation":"Mower, E., and Miranda, L.E., 2013, Frameworks for amending reservoir water management: Lake and Reservoir Management, v. 29, no. 3, p. 194-201, https://doi.org/10.1080/10402381.2013.829893.","productDescription":"8 p.","startPage":"194","endPage":"201","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-041864","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":302310,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"29","issue":"3","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"558bd4b8e4b0b6d21dd65301","contributors":{"authors":[{"text":"Mower, Ethan","contributorId":143702,"corporation":false,"usgs":false,"family":"Mower","given":"Ethan","email":"","affiliations":[],"preferred":false,"id":556838,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Miranda, Leandro E. 0000-0002-2138-7924 smiranda@usgs.gov","orcid":"https://orcid.org/0000-0002-2138-7924","contributorId":531,"corporation":false,"usgs":true,"family":"Miranda","given":"Leandro","email":"smiranda@usgs.gov","middleInitial":"E.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":556836,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70047945,"text":"70047945 - 2013 - Implications of multi-scale sea level and climate variability for coastal resources","interactions":[],"lastModifiedDate":"2013-08-30T16:16:40","indexId":"70047945","displayToPublicDate":"2013-08-30T16:09:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3242,"text":"Regional Environmental Change","active":true,"publicationSubtype":{"id":10}},"title":"Implications of multi-scale sea level and climate variability for coastal resources","docAbstract":"While secular changes in regional sea levels and their implications for coastal zone management have been studied extensively, less attention is being paid to natural fluctuations in sea levels, whose interaction with a higher mean level could have significant impacts on low-lying areas, such as wetlands. Here, the long record of sea level at Key West, FL is studied in terms of both the secular trend and the multi-scale sea level variations. This analysis is then used to explore implications for the Everglades National Park (ENP), which is recognized internationally for its ecological significance, and is the site of the largest wetland restoration project in the world. Very shallow topographic gradients (3–6 cm per km) make the region susceptible to small changes in sea level. Observations of surface water levels from a monitoring network within ENP exhibit both the long-term trends and the interannual-to-(multi)decadal variability that are observed in the Key West record. Water levels recorded at four long-term monitoring stations within ENP exhibit increasing trends approximately equal to or larger than the long-term trend at Key West. Time- and frequency-domain analyses highlight the potential influence of climate mechanisms, such as the El Niño/Southern Oscillation and the North Atlantic Oscillation (NAO), on Key West sea levels and marsh water levels, and the potential modulation of their influence by the background state of the North Atlantic Sea Surface Temperatures. In particular, the Key West sea levels are found to be positively correlated with the NAO index, while the two series exhibit high spectral power during the transition to a cold Atlantic Multidecadal Oscillation (AMO). The correlation between the Key West sea levels and the NINO3 Index reverses its sign in coincidence with a reversal of the AMO phase. Water levels in ENP are also influenced by precipitation and freshwater releases from the northern boundary of the Park. The analysis of both climate variability and climate change in such wetlands is needed to inform management practices in coastal wetland zones around the world.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Regional Environmental Change","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Springer","doi":"10.1007/s10113-013-0408-8","usgsCitation":"Karamperidou, C., Engel, V., Lall, U., Stabenau, E., and Smith, T.J., 2013, Implications of multi-scale sea level and climate variability for coastal resources: Regional Environmental Change, v. 13, no. 1, p. 91-100, https://doi.org/10.1007/s10113-013-0408-8.","productDescription":"10 p.","startPage":"91","endPage":"100","ipdsId":"IP-030832","costCenters":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"links":[{"id":277223,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":277222,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s10113-013-0408-8"}],"volume":"13","issue":"1","noUsgsAuthors":false,"publicationDate":"2013-02-01","publicationStatus":"PW","scienceBaseUri":"5221b0e8e4b001cbb8a34e97","contributors":{"authors":[{"text":"Karamperidou, Christina","contributorId":37630,"corporation":false,"usgs":true,"family":"Karamperidou","given":"Christina","email":"","affiliations":[],"preferred":false,"id":483356,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Engel, Victor 0000-0002-3858-7308","orcid":"https://orcid.org/0000-0002-3858-7308","contributorId":45153,"corporation":false,"usgs":true,"family":"Engel","given":"Victor","affiliations":[],"preferred":false,"id":483357,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lall, Upmanu","contributorId":101172,"corporation":false,"usgs":true,"family":"Lall","given":"Upmanu","affiliations":[],"preferred":false,"id":483358,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Stabenau, Erik","contributorId":106784,"corporation":false,"usgs":true,"family":"Stabenau","given":"Erik","email":"","affiliations":[],"preferred":false,"id":483359,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Smith, Thomas J. III tom_j_smith@usgs.gov","contributorId":1615,"corporation":false,"usgs":true,"family":"Smith","given":"Thomas","suffix":"III","email":"tom_j_smith@usgs.gov","middleInitial":"J.","affiliations":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"preferred":false,"id":483355,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70188508,"text":"70188508 - 2013 - Reconstructing vegetation response to altered hydrology and its use for restoration, Arthur R. Marshall Loxahatchee National Wildlife Refuge, Florida","interactions":[],"lastModifiedDate":"2017-06-23T16:23:12","indexId":"70188508","displayToPublicDate":"2013-08-30T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3750,"text":"Wetlands","onlineIssn":"1943-6246","printIssn":"0277-5212","active":true,"publicationSubtype":{"id":10}},"title":"Reconstructing vegetation response to altered hydrology and its use for restoration, Arthur R. Marshall Loxahatchee National Wildlife Refuge, Florida","docAbstract":"We present reconstructed hydrologic and vegetation trends of the last three centuries across the Arthur R. Marshall Loxahatchee National Wildlife Refuge, Florida in order to understand the effects of 20th century water management. We analyzed pollen assemblages from cores at marsh sites along three transects to document vegetation and infer hydroperiod and water depth both before and after human alteration of Everglades hydrology. In the northern and central part of the Refuge, late Holocene water levels were higher and hydroperiods longer than the last 100 years. Post-1950 was a time of several different water management strategies. Pollen assemblages indicate drier conditions post-1950 in the northern and central parts of the Refuge, whereas sites in the southern Refuge are wetter and vegetation turnover is higher. Throughout the Refuge, Sagittaria pollen declines with the onset of water management, and may indicate a loss of greater variation in hydroperiods across years and water depths between seasons. Paleoecological evidence provides clear estimates of the vegetation response to hydrologic change under specific hydrologic regimes.
","language":"English","publisher":"Springer","doi":"10.1007/s13157-013-0469-y","usgsCitation":"Bernhardt, C.E., Brandt, L.A., Landacre, B.D., Marot, M.E., and Willard, D.A., 2013, Reconstructing vegetation response to altered hydrology and its use for restoration, Arthur R. Marshall Loxahatchee National Wildlife Refuge, Florida: Wetlands, v. 33, no. 6, p. 1139-1149, https://doi.org/10.1007/s13157-013-0469-y.","productDescription":"11 p. ","startPage":"1139","endPage":"1149","ipdsId":"IP-045901","costCenters":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"links":[{"id":342503,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Florida","otherGeospatial":"Arthur R. Marshall Loxahatchee National Wildlife Refuge","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -80.46936035156249,\n 26.347575438494673\n ],\n [\n -80.46936035156249,\n 26.701452590314368\n ],\n [\n -80.16998291015625,\n 26.701452590314368\n ],\n [\n -80.16998291015625,\n 26.347575438494673\n ],\n [\n -80.46936035156249,\n 26.347575438494673\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"33","issue":"6","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2013-08-15","publicationStatus":"PW","scienceBaseUri":"59424b3ce4b0764e6c65dc65","contributors":{"authors":[{"text":"Bernhardt, Christopher E. 0000-0003-0082-4731 cbernhardt@usgs.gov","orcid":"https://orcid.org/0000-0003-0082-4731","contributorId":2131,"corporation":false,"usgs":true,"family":"Bernhardt","given":"Christopher","email":"cbernhardt@usgs.gov","middleInitial":"E.","affiliations":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true},{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"preferred":true,"id":698080,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Brandt, Laura A.","contributorId":146646,"corporation":false,"usgs":false,"family":"Brandt","given":"Laura","email":"","middleInitial":"A.","affiliations":[{"id":6927,"text":"USFWS, National Wildlife Refuge System","active":true,"usgs":false}],"preferred":false,"id":698082,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Landacre, Bryan D. 0000-0002-0523-360X blandacre@usgs.gov","orcid":"https://orcid.org/0000-0002-0523-360X","contributorId":2722,"corporation":false,"usgs":true,"family":"Landacre","given":"Bryan","email":"blandacre@usgs.gov","middleInitial":"D.","affiliations":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"preferred":true,"id":698079,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Marot, Marci E. 0000-0003-0504-315X mmarot@usgs.gov","orcid":"https://orcid.org/0000-0003-0504-315X","contributorId":2078,"corporation":false,"usgs":true,"family":"Marot","given":"Marci","email":"mmarot@usgs.gov","middleInitial":"E.","affiliations":[{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true},{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":698209,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Willard, Debra A. 0000-0003-4878-0942 dwillard@usgs.gov","orcid":"https://orcid.org/0000-0003-4878-0942","contributorId":2076,"corporation":false,"usgs":true,"family":"Willard","given":"Debra","email":"dwillard@usgs.gov","middleInitial":"A.","affiliations":[{"id":24693,"text":"Climate Research and Development","active":true,"usgs":true},{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true}],"preferred":true,"id":698081,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70003966,"text":"70003966 - 2013 - Three new Psammothidium species from lakes of Olympic and Cascade Mountains in Washington State, USA","interactions":[],"lastModifiedDate":"2014-01-14T14:00:58","indexId":"70003966","displayToPublicDate":"2013-08-29T13:51:16","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3081,"text":"Phytotaxa","active":true,"publicationSubtype":{"id":10}},"title":"Three new Psammothidium species from lakes of Olympic and Cascade Mountains in Washington State, USA","docAbstract":"Populations of several Psammothidium species were found in core sediments from nine remote, high elevation, ultraoligotrophic and oligotrophic, Olympic and Cascade Mountain lakes. Three of these species, P. lacustre, P. alpinum, and P. nivale, are described here as new. The morphology of the silica frustules of these species was documented using light and scanning electron microscopy. We discuss the similarities and differences with previously described Psammothidium species.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Phytotaxa","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Magnolia Press","publisherLocation":"Auckland, New Zealand","doi":"10.11646/phytotaxa.127.1.8","usgsCitation":"Enache, M.D., Potapova, M., Sheibley, R., and Moran, P., 2013, Three new Psammothidium species from lakes of Olympic and Cascade Mountains in Washington State, USA: Phytotaxa, v. 127, no. 1, p. 49-57, https://doi.org/10.11646/phytotaxa.127.1.8.","productDescription":"9 p.","startPage":"49","endPage":"57","numberOfPages":"9","ipdsId":"IP-029109","costCenters":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"links":[{"id":473586,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.11646/phytotaxa.127.1.8","text":"Publisher Index Page"},{"id":281030,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":281028,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.11646/phytotaxa.127.1.8"}],"country":"United States","state":"Washington","otherGeospatial":"Cascade Mountains;Mt. Rainier National Park;North Cascades National Park;Olympic National Park","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -124.7348,46.707817 ], [ -124.7348,49.0007 ], [ -120.6329,49.0007 ], [ -120.6329,46.707817 ], [ -124.7348,46.707817 ] ] ] } } ] }","volume":"127","issue":"1","noUsgsAuthors":false,"publicationDate":"2013-08-29","publicationStatus":"PW","scienceBaseUri":"53cd78f5e4b0b2908510c832","contributors":{"authors":[{"text":"Enache, Mihaela D.","contributorId":12356,"corporation":false,"usgs":true,"family":"Enache","given":"Mihaela","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":349768,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Potapova, Marina","contributorId":89274,"corporation":false,"usgs":true,"family":"Potapova","given":"Marina","email":"","affiliations":[],"preferred":false,"id":349771,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sheibley, Rich","contributorId":64995,"corporation":false,"usgs":true,"family":"Sheibley","given":"Rich","affiliations":[],"preferred":false,"id":349770,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Moran, Patrick 0000-0002-2002-3539 pwmoran@usgs.gov","orcid":"https://orcid.org/0000-0002-2002-3539","contributorId":14727,"corporation":false,"usgs":true,"family":"Moran","given":"Patrick","email":"pwmoran@usgs.gov","affiliations":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"preferred":false,"id":349769,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70047892,"text":"70047892 - 2013 - Histopathological analysis of fish from Acorn Fork Creek, Kentucky exposed to hydraulic fracturing fluid releases","interactions":[],"lastModifiedDate":"2017-05-24T15:27:26","indexId":"70047892","displayToPublicDate":"2013-08-29T10:52:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3444,"text":"Southeastern Naturalist","active":true,"publicationSubtype":{"id":10}},"title":"Histopathological analysis of fish from Acorn Fork Creek, Kentucky exposed to hydraulic fracturing fluid releases","docAbstract":"Fracking fluids were released into Acorn Fork, KY, a designated Outstanding\nState Resource Water, and habitat for the threatened Chrosomus cumberlandensis (Blackside\nDace). As a result, stream pH dropped to 5.6 and stream conductivity increased to\n35,000 μS/cm, and aquatic invertebrates and fish were killed or distressed. The objective\nof this study was to describe post-fracking water quality in Acorn Fork and evaluate if the\nchanges in water quality could have extirpated Blackside Dace populations. Semotilus\natromaculatus (Creek Chub) and Lepomis cyanellus (Green Sunfish) were collected from\nAcorn Fork a month after fracking in lieu of unavailable Blackside Dace. Tissues were histologically\nanalyzed for indicators of stress and percent of fish with lesions. Fish exposed\nto affected Acorn Fork waters showed general signs of stress and had a higher incidence of\ngill lesions than unexposed reference fish. Gill lesions observed were consistent with exposure\nto low pH and toxic concentrations of heavy metals. Gill uptake of aluminum and iron\nwas demonstrated at sites with correspondingly high concentrations of these metals. The\nabrupt and persistent changes in post-fracking water quality resulted in toxic conditions\nthat could have been deleterious to Blackside Dace health and survival.","language":"English","publisher":"Eagle Hill Institute","doi":"10.1656/058.012.s413","usgsCitation":"Papoulias, D.M., and Velasco, A.L., 2013, Histopathological analysis of fish from Acorn Fork Creek, Kentucky exposed to hydraulic fracturing fluid releases: Southeastern Naturalist, v. 12, no. sp4, p. 92-111, https://doi.org/10.1656/058.012.s413.","productDescription":"20 p.","startPage":"92","endPage":"111","ipdsId":"IP-032244","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"links":[{"id":277151,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"12","issue":"sp4","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"52205f52e4b0645fc25e8c10","contributors":{"authors":[{"text":"Papoulias, Diana M. 0000-0002-5106-2469 dpapoulias@usgs.gov","orcid":"https://orcid.org/0000-0002-5106-2469","contributorId":2726,"corporation":false,"usgs":true,"family":"Papoulias","given":"Diana","email":"dpapoulias@usgs.gov","middleInitial":"M.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":483230,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Velasco, Anthony L.","contributorId":56546,"corporation":false,"usgs":true,"family":"Velasco","given":"Anthony","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":483231,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70047859,"text":"sir20135158 - 2013 - Bull trout (Salvelinus confluentus) movement in relation to water temperature, season, and habitat features in Arrowrock Reservoir, Idaho, 2012","interactions":[],"lastModifiedDate":"2013-08-28T09:35:32","indexId":"sir20135158","displayToPublicDate":"2013-08-28T08:57:00","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":"2013-5158","title":"Bull trout (Salvelinus confluentus) movement in relation to water temperature, season, and habitat features in Arrowrock Reservoir, Idaho, 2012","docAbstract":"Acoustic telemetry was used to determine spring to summer (April–August) movement and habitat use of bull trout (Salvelinus confluentus) in Arrowrock Reservoir (hereafter “Arrowrock”), a highly regulated reservoir in the Boise River Basin of southwestern Idaho. Water management practices annually use about 86 percent of the reservoir water volume to satisfy downstream water demands. These practices might be limiting bull trout habitat and movement patterns. Bull trout are among the more thermally sensitive coldwater species in North America, and the species is listed as threatened throughout the contiguous United States under the Endangered Species Act. Biweekly water-temperature and dissolved-oxygen profiles were collected by the Bureau of Reclamation at three locations in Arrowrock to characterize habitat conditions for bull trout. Continuous streamflow and water temperature also were measured immediately upstream of the reservoir on the Middle and South Fork Boise Rivers, which influence habitat conditions in the riverine zones of the reservoir. In spring 2012, 18 bull trout ranging in total length from 306 to 630 millimeters were fitted with acoustic transmitters equipped with temperature and depth sensors. Mobile boat tracking and fixed receivers were used to detect released fish. Fish were tagged from March 28 to April 20 and were tracked through most of August. Most bull trout movements were detected in the Middle Fork Boise River arm of the reservoir. Fifteen individual fish were detected at least once after release. Water surface temperature at each fish detection location ranged from 6.0 to 16.2 degrees Celsius (°C) (mean=10.1°C), whereas bull trout body temperatures were colder, ranging from 4.4 to 11.6°C (mean=7.3°C). Bull trout were detected over deep-water habitat, ranging from 8.0 to 42.6 meters (m) (mean=18.1 m). Actual fish depths were shallower than total water depth, ranging from 0.0 to 24.5 m (mean=6.7 m). The last bull trout was detected in early June, suggesting that fish used little, if any, summertime habitat within the reservoir. Water-quality profile measurements indicated that temperature could limit bull trout use of the reservoir during warm, summer months that coincide with decreased water volume. Thermal refuge during this study appeared to be limited based on scarcity of water that was 15°C and cooler. From the first week of August through the latter part of September, little if any suitable habitat remained for bull trout, with most temperatures exceeding 15°C at all locations where water quality profiles were measured.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20135158","collaboration":"Prepared in cooperation with Bureau of Reclamation","usgsCitation":"Maret, T.R., and Schultz, J.E., 2013, Bull trout (Salvelinus confluentus) movement in relation to water temperature, season, and habitat features in Arrowrock Reservoir, Idaho, 2012: U.S. Geological Survey Scientific Investigations Report 2013-5158, iv, 28 p.; Appendix A, https://doi.org/10.3133/sir20135158.","productDescription":"iv, 28 p.; Appendix A","numberOfPages":"36","additionalOnlineFiles":"Y","costCenters":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"links":[{"id":277079,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20135158.jpg"},{"id":277076,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2013/5158/sir20135158_appendixA.xlsx"},{"id":277074,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2013/5158/"},{"id":277075,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2013/5158/pdf/sir20135158.pdf"}],"country":"United States","state":"Idaho","otherGeospatial":"Arrowrock Reservoir","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -115.666667,43.333333 ], [ -115.666667,43.666667 ], [ -116.166667,43.666667 ], [ -116.166667,43.333333 ], [ -115.666667,43.333333 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"521f0dd8e4b0f8bf2b0760b5","contributors":{"authors":[{"text":"Maret, Terry R. trmaret@usgs.gov","contributorId":953,"corporation":false,"usgs":true,"family":"Maret","given":"Terry","email":"trmaret@usgs.gov","middleInitial":"R.","affiliations":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"preferred":true,"id":483167,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Schultz, Justin E.","contributorId":86253,"corporation":false,"usgs":true,"family":"Schultz","given":"Justin","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":483168,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70047849,"text":"sir20135100 - 2013 - Water levels and water quality in the Sparta-Memphis aquifer (middle Claiborne aquifer) in Arkansas, spring-summer 2009","interactions":[],"lastModifiedDate":"2013-08-27T16:01:05","indexId":"sir20135100","displayToPublicDate":"2013-08-27T15:42:00","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":"2013-5100","title":"Water levels and water quality in the Sparta-Memphis aquifer (middle Claiborne aquifer) in Arkansas, spring-summer 2009","docAbstract":"The U.S. Geological Survey in cooperation with the Arkansas Natural Resources Commission and the Arkansas Geological Survey has monitored water levels in the Sparta Sand of Claiborne Group and Memphis Sand of Claiborne Group (herein referred to as the Sparta Sand and the Memphis Sand, respectively) since the 1920s. Groundwater withdrawals have increased while water levels have declined since monitoring was initiated. Herein, aquifers in the Sparta Sand and Memphis Sand will be referred to as the Sparta-Memphis aquifer throughout Arkansas. During the spring of 2009, 324 water levels were measured in wells completed in the Sparta-Memphis aquifer and used to produce a regional potentiometric-surface map. During the summer of 2009, 64 water-quality samples were collected and measured for specific conductance, temperature, and pH from wells completed in the Sparta-Memphis aquifer.\n\nThe regional direction of groundwater flow in the Sparta-Memphis aquifer is generally to the south-southeast in the northern half of Arkansas and to the east and south in the southern half of Arkansas, away from the outcrop area except where affected by large groundwater withdrawals. The highest and lowest water-level altitudes measured in the Sparta-Memphis aquifer were 325 feet above and 157 feet below National Geodetic Vertical Datum of 1929, respectively.\n\nEight depressions (generally represented by closed contours) are located in the following counties: Bradley; Ashley; Calhoun; Cleveland; Columbia; Arkansas, Jefferson, Lincoln, and Prairie; Cross and Poinsett; and Union. Two large depressions shown on the 2009 potentiometric-surface map, centered in Jefferson and Union Counties, are the result of large withdrawals for industrial, irrigation, or public supply. The depression centered in Jefferson County deepened and expanded in recent years into Arkansas and Prairie Counties. The area enclosed within the 40-foot contour on the 2009 potentiometric-surface map has expanded south to the Drew County line and moved west from the intersection of Arkansas, Jefferson, and Lincoln Counties when compared with the 2007 potentiometric-surface map. To the north, east, and west, the 40-foot contour is comparable to the 2007 potentiometric-surface map. The lowest water-level altitude measurement during 2009 in the center of the depression in Union County represents a rise of 42 feet since 2003. The area enclosed by the lowest altitude contour, 140 feet below National Geodetic Vertical Datum of 1929, on the 2009 potentiometric-surface map is about half the area on the 2007 potentiometric-surface map. In the depression in western Poinsett and Cross Counties, the 140-foot contour extended north to the Poinsett-Craighead County line and south across Cross County about two-thirds of the distance to the St. Francis County line.\n\nA water-level difference map was constructed using water-level measurements made during 2005 and 2009 from 309 wells. The difference in water level between 2005 and 2009 ranged from -74.6 to 60.2 feet. Areas with a general rise in water levels occur in central Columbia County, southern Jefferson County, and most of Union County. In the area around west-central Union County, water levels rose as much as 60.2 feet with water levels in 18 wells rising 20 feet or more, representing an average annual rise of 5 feet or more. Water levels generally declined throughout most of the rest of Arkansas.\n\nHydrographs were constructed using a minimum of 25 years of water-level measurements at each of 206 wells. During the period 1985–2009, mean annual water levels rose in Calhoun, Columbia, Lafayette, and Union Counties, about 1.3 feet per year (ft/yr), 0.2 ft/yr, 0.1 ft/yr, and 0.6 ft/yr, respectively. Mean annual water-level declines between 0.0 and 2.3 ft/yr occurred in all other counties. In western Arkansas County, water-level altitudes in a continuously monitored well declined 60 feet during the irrigation season (April to September).\n\nSpecific conductance ranged from 43 microsiemens per centimeter at 25 degrees Celsius (μS/cm) in Ouachita County to 1,230 μS/cm in Phillips County. The mean specific conductance was 392 μS/cm. Although there is a regional increase in specific conductance to the east and south, specific conductance values greater than 700 μS/cm occurred in samples from wells in Arkansas, Ashley, Monroe, Phillips, and Union Counties.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20135100","collaboration":"Prepared in cooperation with the Arkansas Natural Resources Commission and the Arkansas Geological Survey","usgsCitation":"Schrader, T., 2013, Water levels and water quality in the Sparta-Memphis aquifer (middle Claiborne aquifer) in Arkansas, spring-summer 2009: U.S. Geological Survey Scientific Investigations Report 2013-5100, Report: iv, 53 p.; 2 plates: 24 x 27 inches, https://doi.org/10.3133/sir20135100.","productDescription":"Report: iv, 53 p.; 2 plates: 24 x 27 inches","temporalStart":"2009-03-01","temporalEnd":"2009-09-30","costCenters":[{"id":129,"text":"Arkansas Water Science Center","active":true,"usgs":true}],"links":[{"id":277060,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20135100.PNG"},{"id":277056,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2013/5100/"},{"id":277055,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2013/5100/pdf/sir2013-5100.pdf"},{"id":277057,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sir/2013/5100/pdf/sir2013-5100_pl1.pdf"},{"id":277058,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sir/2013/5100/pdf/sir2013-5100_pl2.pdf"}],"country":"United States","state":"Arkansas","otherGeospatial":"Sparta-memphis Aquifer","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -94.1125,33.0041 ], [ -94.1125,36.4997 ], [ -89.6448,36.4997 ], [ -89.6448,33.0041 ], [ -94.1125,33.0041 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"52a6408fe4b0a6d6958827a7","contributors":{"authors":[{"text":"Schrader, T. P.","contributorId":56300,"corporation":false,"usgs":true,"family":"Schrader","given":"T.","middleInitial":"P.","affiliations":[],"preferred":false,"id":483141,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70047848,"text":"sir20135148 - 2013 - Analysis and inundation mapping of the April-May 2011 flood at selected locations in northern and eastern Arkansas and southern Missouri","interactions":[],"lastModifiedDate":"2013-08-27T15:32:05","indexId":"sir20135148","displayToPublicDate":"2013-08-27T15:21:00","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":"2013-5148","title":"Analysis and inundation mapping of the April-May 2011 flood at selected locations in northern and eastern Arkansas and southern Missouri","docAbstract":"Precipitation that fell from April 19 through May 3, 2011, resulted in widespread flooding across northern and eastern Arkansas and southern Missouri. The first storm produced a total of approximately 16 inches of precipitation over an 8-day period, and the following storms produced as much as 12 inches of precipitation over a 2-day period. Moderate to major flooding occurred quickly along many streams within Arkansas and Missouri (including the Black, Cache, Illinois, St. Francis, and White Rivers) at levels that had not been seen since the historic 1927 floods. The 2011 flood claimed an estimated 21 lives in Arkansas and Missouri, and damage caused by the flooding resulted in a Federal Disaster Declaration for 59 Arkansas counties that received Federal or State assistance. To further the goal of documenting and understanding floods, the U.S. Geological Survey, in cooperation with the Federal Emergency Management Agency, the U.S. Army Corps of Engineers–Little Rock and Memphis Districts, and Arkansas Natural Resources Commission, conducted a study to summarize meteorological and hydrological conditions before the flood; computed flood-peak magnitudes for 39 streamgages; estimated annual exceedance probabilities for 37 of those streamgages; determined the joint probabilities for 11 streamgages paired to the Mississippi River at Helena, Arkansas, which refers to the probability that locations on two paired streams simultaneously experience floods of a magnitude greater than or equal to a given annual exceedance probability; collected high-water marks; constructed flood-peak inundation maps showing maximum flood extent and water depths; and summarized flood damages and effects.\n\nFor the period of record used in this report, peak-of-record stage occurred at 24 of the 39 streamgages, and peak-of-record streamflow occurred at 13 of the 30 streamgages where streamflow was determined. Annual exceedance probabilities were estimated to be less than 0.5 percent at three streamgages. The joint probability values for streamgages paired with the Mississippi River at Helena, Ark., streamgage indicate a low probability of concurrent flooding with the paired streamgages. The inundation maps show the flood-peak extent and water depth of flooding for two stream reaches on the White River and two on the Black River; the vicinities of the communities of Holly Grove and Cotton Plant, Ark.; a reach of the White River that includes the crossing of Interstate 40 north of De Valls Bluff, Ark.; and the Tailwaters of Beaver Dam near Eureka Springs, Ark., Table Rock Dam near Branson, Mo., and Bull Shoals Dam near Flippin, Ark. The data and inundation maps can be used for flood response, recovery, and planning efforts by Federal, State, and local agencies.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20135148","collaboration":"Prepared in cooperation with the Federal Emergency Management Agency, the U.S. Army Corps of Engineers--Little Rock and Memphis Districts, and the Arkansas Natural Resources Commission","usgsCitation":"Westerman, D.A., Merriman, K., De Lanois, J.L., and Berenbrock, C., 2013, Analysis and inundation mapping of the April-May 2011 flood at selected locations in northern and eastern Arkansas and southern Missouri: U.S. Geological Survey Scientific Investigations Report 2013-5148, Report: vii, 44 p.; Downloads Directory, https://doi.org/10.3133/sir20135148.","productDescription":"Report: vii, 44 p.; Downloads Directory","onlineOnly":"Y","temporalStart":"2011-04-19","temporalEnd":"2011-05-03","costCenters":[{"id":129,"text":"Arkansas Water Science Center","active":true,"usgs":true}],"links":[{"id":277054,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20135148.PNG"},{"id":277051,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2013/5148/"},{"id":277052,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2013/5148/pdf/sir2013-5148.pdf"},{"id":277053,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/sir/2013/5148/Downloads/"}],"country":"United States","state":"Arkansas;Missouri","otherGeospatial":"Arkansas River Basin;St. Francis River Basin;White River Basin","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -94.6179,34.7823 ], [ -94.6179,37.2905 ], [ -89.6448,37.2905 ], [ -89.6448,34.7823 ], [ -94.6179,34.7823 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"521dcbc6e4b051c878dc355d","contributors":{"authors":[{"text":"Westerman, Drew A. 0000-0002-8522-776X dawester@usgs.gov","orcid":"https://orcid.org/0000-0002-8522-776X","contributorId":4526,"corporation":false,"usgs":true,"family":"Westerman","given":"Drew","email":"dawester@usgs.gov","middleInitial":"A.","affiliations":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true},{"id":129,"text":"Arkansas Water Science Center","active":true,"usgs":true}],"preferred":true,"id":483137,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Merriman, Katherine R.","contributorId":34418,"corporation":false,"usgs":true,"family":"Merriman","given":"Katherine R.","affiliations":[],"preferred":false,"id":483140,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"De Lanois, Jeanne L. jdelanoi@usgs.gov","contributorId":4672,"corporation":false,"usgs":true,"family":"De Lanois","given":"Jeanne","email":"jdelanoi@usgs.gov","middleInitial":"L.","affiliations":[],"preferred":true,"id":483138,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Berenbrock, Charles","contributorId":30598,"corporation":false,"usgs":true,"family":"Berenbrock","given":"Charles","email":"","affiliations":[],"preferred":false,"id":483139,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70047808,"text":"ofr20131231 - 2013 - Coastal change from Hurricane Sandy and the 2012-13 winter storm season: Fire Island, New York","interactions":[],"lastModifiedDate":"2013-10-30T13:24:14","indexId":"ofr20131231","displayToPublicDate":"2013-08-27T08:30:00","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":"2013-1231","title":"Coastal change from Hurricane Sandy and the 2012-13 winter storm season: Fire Island, New York","docAbstract":"The U.S. Geological Survey (USGS) mounted a substantial effort in response to Hurricane Sandy including an assessment of the morphological impacts to the beach and dune system at Fire Island, New York. Field surveys of the beach and dunes collected just prior to and after landfall were used to quantify change in several focus areas. In order to quantify morphologic change along the length of the island, pre-storm (May 2012) and post-storm (November 2012) lidar and aerial photography were used to assess changes to the shoreline and beach, and to measure volumetric changes. The extent and thicknesses of overwash deposits were mapped in the field, and measurements were used to determine volume, distribution, and characteristics of the deposits.\n\nThe beaches and dunes on Fire Island were severely eroded during Hurricane Sandy, and the island breached in three locations on the eastern segment of the island. Landward shift of the upper portion of the beach averaged 19.7 meters (m) but varied substantially along the coast. Shoreline change was also highly variable, but the shoreline prograded during the storm by an average of 11.4 m, due to the deposition of material eroded from the upper beach and dunes onto the lower portion of the beach. The beaches and dunes lost 54.4 percent of their pre-storm volume, and the dunes experienced overwash along 46.6 percent of the island. The inland overwash deposits account for 14 percent of the volume lost from the beaches and dunes, indicating that the majority of material was moved offshore.\n\nIn the winter months following Hurricane Sandy, seven storm events with significant wave heights greater than four m were recorded at a wave buoy 30 nautical miles south of Fire Island. Monthly shoreline and profile surveys indicate that the beach continued to erode dramatically. The shoreline, which exhibited a progradational trend immediately after Sandy, eroded an average of 21.4 m between November 2012 and mid-March 2013, with a maximum landward shift of nearly 60 m. By March 2013 the elevation of the beach in the majority of the surveyed profiles was lowered below the mean high water level (0.46 m), and the beach lost an additional 18.9 percent of its remaining volume. In the final time period of the field surveys (March to April 2013), the beach began to show signs of rapid recovery, and in 90 percent of the profiles, the volume of the beach in April 2013 was similar to the volume measured immediately after Hurricane Sandy.\n\nOverall, Hurricane Sandy profoundly impacted the morphology of Fire Island and resulted in an extremely low elevation, low relief configuration that has left the barrier island vulnerable to future storms. The coastal system subsequently began to show signs of recovery, and although the beach is likely to experience continued recovery in the form of volume gains, the dunes will take years to rebuild. Events such as Sandy result in a coastal environment that is a more vulnerable to future storm impacts, but they are an important natural process of barrier islands that allow these systems to evolve in response to sea-level rise.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20131231","usgsCitation":"Hapke, C.J., Brenner, O., Henderson, R., and Reynolds, B., 2013, Coastal change from Hurricane Sandy and the 2012-13 winter storm season: Fire Island, New York: U.S. Geological Survey Open-File Report 2013-1231, vi, 37 p., https://doi.org/10.3133/ofr20131231.","productDescription":"vi, 37 p.","numberOfPages":"43","onlineOnly":"Y","additionalOnlineFiles":"N","temporalStart":"2012-05-01","temporalEnd":"2012-11-30","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":277023,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20131231.gif"},{"id":277022,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2013/1231/"},{"id":277027,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2013/1231/pdf/ofr2013-1231.pdf"}],"country":"United States","state":"New York","otherGeospatial":"Fire Island","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -73.306874,40.62042 ], [ -73.306874,40.779037 ], [ -72.727963,40.779037 ], [ -72.727963,40.62042 ], [ -73.306874,40.62042 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"52722a8be4b0ce70249c9816","contributors":{"authors":[{"text":"Hapke, Cheryl J. 0000-0002-2753-4075 chapke@usgs.gov","orcid":"https://orcid.org/0000-0002-2753-4075","contributorId":2981,"corporation":false,"usgs":true,"family":"Hapke","given":"Cheryl","email":"chapke@usgs.gov","middleInitial":"J.","affiliations":[{"id":6676,"text":"USGS (retired)","active":true,"usgs":false}],"preferred":true,"id":483011,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Brenner, Owen","contributorId":7987,"corporation":false,"usgs":true,"family":"Brenner","given":"Owen","affiliations":[],"preferred":false,"id":483013,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Henderson, Rachel E. 0000-0001-5810-7941 rhehre@usgs.gov","orcid":"https://orcid.org/0000-0001-5810-7941","contributorId":4934,"corporation":false,"usgs":true,"family":"Henderson","given":"Rachel E.","email":"rhehre@usgs.gov","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":483012,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Reynolds, B.J.","contributorId":47874,"corporation":false,"usgs":true,"family":"Reynolds","given":"B.J.","email":"","affiliations":[],"preferred":false,"id":483014,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70047836,"text":"pp1799 - 2013 - Stratigraphy of lower to middle Paleozoic rocks of northern Nevada and the Antler orogeny","interactions":[],"lastModifiedDate":"2018-03-23T14:26:21","indexId":"pp1799","displayToPublicDate":"2013-08-26T14:57:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":331,"text":"Professional Paper","code":"PP","onlineIssn":"2330-7102","printIssn":"1044-9612","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"1799","title":"Stratigraphy of lower to middle Paleozoic rocks of northern Nevada and the Antler orogeny","docAbstract":"Commonly accepted concepts concerning the lower Paleozoic stratigraphy of northern Nevada are based on the assumption that the deep-water aspects of Ordovician to Devonian siliceous strata are due to their origin in a distant oceanic environment, and their presence where we find them is due to tectonic emplacement by the Roberts Mountains thrust. The concept adopted here is based on the assumption that their deep-water aspects are the result of sea-level rise in the Cambrian, and all of the Paleozoic strata in northern Nevada are indigenous to that area. The lower part of the Cambrian consists mainly of shallow-water cross-bedded sands derived from the craton. The upper part of the Cambrian, and part of the Ordovician, consists mainly of deep-water carbonate clastics carried by turbidity currents from the carbonate shelf in eastern Nevada, newly constructed as a result of sea-level rise. Ordovician to mid-Devonian strata are relatively deep-water siliceous deposits, which are the western facies assemblage. The basal contact of this assemblage on autochthonous Cambrian rocks is exposed in three mountain ranges and is clearly depositional in all three. The western facies assemblage can be divided into distinct stratigraphic units of regional extent. Many stratigraphic details can be explained simply by known changes in sea level. Upper Devonian to Mississippian strata are locally and westerly derived orogenic clastic beds deposited disconformably on the western facies assemblage. This disconformity, clearly exposed in 10 mountain ranges, indicates regional uplift and erosion of the western facies assemblage and absence of local deformation. The disconformity represents the Antler orogeny.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/pp1799","usgsCitation":"Ketner, K.B., 2013, Stratigraphy of lower to middle Paleozoic rocks of northern Nevada and the Antler orogeny: U.S. Geological Survey Professional Paper 1799, vi, 23 p., https://doi.org/10.3133/pp1799.","productDescription":"vi, 23 p.","numberOfPages":"33","onlineOnly":"Y","additionalOnlineFiles":"N","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":277015,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/pp1799.gif"},{"id":277014,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/pp/1799/pdf/PP1799.pdf"},{"id":277013,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/pp/1799/"}],"country":"United States","state":"Nevada","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -117.9767,38.7369 ], [ -117.9767,41.9023 ], [ -115.0049,41.9023 ], [ -115.0049,38.7369 ], [ -117.9767,38.7369 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"521c6adde4b01458f784290b","contributors":{"authors":[{"text":"Ketner, Keith B.","contributorId":957,"corporation":false,"usgs":true,"family":"Ketner","given":"Keith","email":"","middleInitial":"B.","affiliations":[],"preferred":true,"id":483102,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70047816,"text":"70047816 - 2013 - Juvenile movement among different populations of cutthroat trout introduced as embryos to vacant habitat","interactions":[],"lastModifiedDate":"2021-04-22T20:25:52.872535","indexId":"70047816","displayToPublicDate":"2013-08-26T10:37:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2886,"text":"North American Journal of Fisheries Management","active":true,"publicationSubtype":{"id":10}},"title":"Juvenile movement among different populations of cutthroat trout introduced as embryos to vacant habitat","docAbstract":"Translocations are frequently used to increase the abundance and range of endangered fishes. One factor likely to affect the outcome of translocations is fish movement. We introduced embryos from five Westslope Cutthroat Trout Oncorhynchus clarkii lewisi populations (both hatchery and wild) at five different locations within a fishless watershed. We then examined the movement of age‐1 and age‐2 fish and looked for differences in movement distance among source populations and among introduction sites; we also examined the interactions among age, population, and introduction site. At age 1, most individuals (90.9%) remained within 1,000 m their introduction sites. By age 2, the majority of individuals (58.3%) still remained within 1,000 m of their introduction site, but considerably more individuals had moved downstream, some more than 6,000 m from their introduction site. We observed a significant interaction between age and source population (F 4, 1077 = 15.45, P < 0.0001) as well as between age and introduction site (F 41, 1077 = 11.39, P < 0.0008), so we presented results in the context of these interactions. Within age‐groups, we observed differences in movement behavior among source populations and among donor populations of Westslope Cutthroat Trout. We discuss these findings in light of previous research on juvenile salmonid movement.
","language":"English","publisher":"American Fisheries Society","doi":"10.1080/02755947.2013.812582","usgsCitation":"Andrews, T.M., Shepard, B.B., Litt, A., Kruse, C.G., Zale, A.V., and Kalinowski, S.T., 2013, Juvenile movement among different populations of cutthroat trout introduced as embryos to vacant habitat: North American Journal of Fisheries Management, v. 33, no. 4, p. 795-805, https://doi.org/10.1080/02755947.2013.812582.","productDescription":"11 p.","startPage":"795","endPage":"805","ipdsId":"IP-038131","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":398,"text":"Montana Cooperative Fishery Research Unit","active":false,"usgs":true}],"links":[{"id":276983,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Montana","otherGeospatial":"Cherry Creek, Madison River basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -111.45,\n 45.4\n ],\n [\n -111.45,\n 45.5\n ],\n [\n -111.55,\n 45.5\n ],\n [\n -111.55,\n 45.4\n ],\n [\n -111.45,\n 45.4\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"33","issue":"4","noUsgsAuthors":false,"publicationDate":"2013-08-06","publicationStatus":"PW","scienceBaseUri":"521c6adce4b01458f7842903","contributors":{"authors":[{"text":"Andrews, Tessa M.","contributorId":98208,"corporation":false,"usgs":true,"family":"Andrews","given":"Tessa","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":483051,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Shepard, Bradley B.","contributorId":57327,"corporation":false,"usgs":true,"family":"Shepard","given":"Bradley","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":483048,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Litt, Andrea R.","contributorId":22226,"corporation":false,"usgs":true,"family":"Litt","given":"Andrea R.","affiliations":[],"preferred":false,"id":483047,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kruse, Carter G.","contributorId":58545,"corporation":false,"usgs":true,"family":"Kruse","given":"Carter","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":483049,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Zale, Alexander V. 0000-0003-1703-885X zale@usgs.gov","orcid":"https://orcid.org/0000-0003-1703-885X","contributorId":3010,"corporation":false,"usgs":true,"family":"Zale","given":"Alexander","email":"zale@usgs.gov","middleInitial":"V.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":483046,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Kalinowski, Steven T.","contributorId":78465,"corporation":false,"usgs":true,"family":"Kalinowski","given":"Steven","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":483050,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70047814,"text":"70047814 - 2013 - Landscape-level estimation of nitrogen removal in coastal Louisiana wetlands: potential sinks under different restoration scenarios","interactions":[],"lastModifiedDate":"2017-01-12T11:40:25","indexId":"70047814","displayToPublicDate":"2013-08-26T08:32:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2220,"text":"Journal of Coastal Research","active":true,"publicationSubtype":{"id":10}},"title":"Landscape-level estimation of nitrogen removal in coastal Louisiana wetlands: potential sinks under different restoration scenarios","docAbstract":"Coastal eutrophication in the northern Gulf of Mexico (GOM) is the primary anthropogenic contributor to the largest zone of hypoxic bottom waters in North America. Although biologically mediated processes such as denitrification (Dn) are known to act as sinks for inorganic nitrogen, it is unknown what contribution denitrification makes to landscape-scale nitrogen budgets along the coast. As the State of Louisiana plans the implementation of a 2012 Coastal Master Plan (MP) to help restore its wetlands and protect its coast, it is critical to understand what effect potential restoration projects may have in altering nutrient budgets. As part of the MP, a spatial statistical approach was developed to estimate nitrogen removal under varying scenarios of future conditions and coastal restoration project implementation. In every scenario of future conditions under which MP implementation was modeled, more nitrogen (![\"\"](\"http://www.bioone.org/na101/home/literatum/publisher/bioone/journals/content/coas/2013/15515036-67.sp1/si_67_6/20130814/images/medium/i1551-5036-67-sp1-75-ilm01.gif\")
) was removed from coastal waters when compared with conditions under which no action is taken. Overall, the MP increased coast-wide average nitrogen removal capacity (NRC) rates by up to 0.55 g N m−2 y−1 compared with the “future without action” (FWOA) scenario, resulting in a conservative estimate of up to 25% removal of the annual![\"\"](\"http://www.bioone.org/na101/home/literatum/publisher/bioone/journals/content/coas/2013/15515036-67.sp1/si_67_6/20130814/images/medium/i1551-5036-67-sp1-75-ilm12.gif\")
+![\"\"](\"http://www.bioone.org/na101/home/literatum/publisher/bioone/journals/content/coas/2013/15515036-67.sp1/si_67_6/20130814/images/medium/i1551-5036-67-sp1-75-ilm23.gif\")
load of the Mississippi-Atchafalaya rivers (956,480 t y−1). These results are spatially correlated, with the lower Mississippi River and Chenier Plain exhibiting the greatest change in NRC. Since the implementation of the MP can maintain, and in some regions increase the NRC, our results show the need to preserve the functionality of wetland habitats and use this ecosystem service (i.e. Dn) to decrease eutrophication of the GOM.
","language":"English","publisher":"Coastal Education and Research Foundation","doi":"10.2112/SI_67_6","usgsCitation":"Rivera-Monroy, V., Branoff, B., Meselhe, E., McCorquodale, A., Dortch, M., Steyer, G.D., Visser, J., and Wang, H., 2013, Landscape-level estimation of nitrogen removal in coastal Louisiana wetlands: potential sinks under different restoration scenarios: Journal of Coastal Research, v. Summer 2013, p. 75-87, https://doi.org/10.2112/SI_67_6.","productDescription":"13 p.","startPage":"75","endPage":"87","numberOfPages":"13","ipdsId":"IP-042639","costCenters":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"links":[{"id":276978,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Louisiana","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -94.0434,28.9254 ], [ -94.0434,30.8379 ], [ -88.8162,30.8379 ], [ -88.8162,28.9254 ], [ -94.0434,28.9254 ] ] ] } } ] }","volume":"Summer 2013","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"521c6adde4b01458f7842907","contributors":{"authors":[{"text":"Rivera-Monroy, Victor H.","contributorId":34198,"corporation":false,"usgs":true,"family":"Rivera-Monroy","given":"Victor H.","affiliations":[],"preferred":false,"id":483034,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Branoff, Benjamin","contributorId":99874,"corporation":false,"usgs":true,"family":"Branoff","given":"Benjamin","affiliations":[],"preferred":false,"id":483038,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Meselhe, Ehab","contributorId":95333,"corporation":false,"usgs":true,"family":"Meselhe","given":"Ehab","email":"","affiliations":[],"preferred":false,"id":483037,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"McCorquodale, Alex","contributorId":53685,"corporation":false,"usgs":true,"family":"McCorquodale","given":"Alex","email":"","affiliations":[],"preferred":false,"id":483036,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Dortch, Mark","contributorId":15507,"corporation":false,"usgs":true,"family":"Dortch","given":"Mark","email":"","affiliations":[],"preferred":false,"id":483033,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Steyer, Gregory D. 0000-0001-7231-0110 steyerg@usgs.gov","orcid":"https://orcid.org/0000-0001-7231-0110","contributorId":2856,"corporation":false,"usgs":true,"family":"Steyer","given":"Gregory","email":"steyerg@usgs.gov","middleInitial":"D.","affiliations":[{"id":5064,"text":"Southeast Regional Director's Office","active":true,"usgs":true},{"id":5062,"text":"Office of the Chief Scientist for Ecosystems","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"preferred":true,"id":483031,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Visser, Jenneke","contributorId":40504,"corporation":false,"usgs":true,"family":"Visser","given":"Jenneke","affiliations":[],"preferred":false,"id":483035,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Wang, Hongqing 0000-0002-2977-7732 wangh@usgs.gov","orcid":"https://orcid.org/0000-0002-2977-7732","contributorId":4421,"corporation":false,"usgs":true,"family":"Wang","given":"Hongqing","email":"wangh@usgs.gov","affiliations":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"preferred":false,"id":483032,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70047819,"text":"sir20135065 - 2013 - Effects of surface applications of biosolids on groundwater quality and trace-element concentrations in crops near Deer Trail, Colorado, 2004-2010","interactions":[],"lastModifiedDate":"2025-05-14T19:19:14.041259","indexId":"sir20135065","displayToPublicDate":"2013-08-26T08:04:00","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":"2013-5065","title":"Effects of surface applications of biosolids on groundwater quality and trace-element concentrations in crops near Deer Trail, Colorado, 2004-2010","docAbstract":"The U.S. Geological Survey (USGS), in cooperation with Metro Wastewater Reclamation District (Metro District), studied biosolids composition and the effects of biosolids applications on groundwater quality and trace-element concentrations in crops of the Metro District properties near Deer Trail, Colorado, during 2004 through 2010. Priority parameters for each monitoring component included the nine trace elements regulated by Colorado for biosolids (arsenic, cadmium, copper, lead, mercury, molybdenum, nickel, selenium, and zinc); other constituents also were analyzed. All concentrations for the priority parameters in monthly biosolids samples were less than Colorado regulatory limits, and the concentrations were relatively consistent. Biosolids likely were the largest source of nitrogen and phosphorus on the Metro District properties. Plutonium isotopes were not detected in the biosolids, but many organic wastewater compounds (organic wastewater compounds: wastewater indicators, pharmaceuticals, and hormones) were detected in substantial concentrations relative to minimum reporting levels and various surface-water concentrations. Bismuth, copper, mercury, nitrogen, phosphorus, silver, biogenic sterols, detergent degradates, disinfectants, fire retardants, fragrances, pharmaceuticals, and plasticizers would be the most likely biosolids signature to indicate the presence of Metro District biosolids in soil or streambed sediment from the study area. Antimony, cadmium, cobalt, copper, molybdenum, nickel, nitrogen, phosphorus, selenium, tungsten, vanadium, zinc, detergent degradates, disinfectants, fire retardants, fragrances, pharmaceuticals or their degradates, and plasticizers would be the most likely biosolids signature for groundwater and surface water in the study area. More biosolids-signature components detected and larger concentration differences from untreated materials, baseline, and blank samples indicate more evidence of biosolids presence or effects. Although the inorganic constituent concentrations were relatively large in samples from one monitoring well, the concentrations of organic wastewater compounds in groundwater samples were not correspondingly large. Concentrations of organic wastewater compounds in the groundwater samples from all five monitoring wells were less than the minimum reporting levels with only a few detections. Some of the organic wastewater compounds detected could have anthropogenic sources that are not biosolids. Concentrations of priority parameters in groundwater varied spatially and temporally but generally were less than Colorado regulatory limits. Concentrations of dissolved nitrate, arsenic, and selenium, in addition to chloride, sulfate, total dissolved solids, boron, iron, manganese, and uranium, in samples from some wells exceeded the Colorado standards. Concentrations of dissolved nitrate (three wells), molybdenum (one well), selenium (two wells), and uranium (one well) in shallow groundwater had significant (alpha = 0.05) upward trends in some parts of the study area. The biosolids-signature results indicate that the aquifers intercepted by the five routinely sampled wells likely have received some recharge through treated (biosolids-applied) fields or biosolids-affected ponds. Adverse effects from this biosolids-related recharge range from few (if any) at one well to large and significantly (alpha = 0.05) increasing nitrate concentrations at another well. A statistical evaluation of five paired wheat-grain samples from treated (biosolids-applied) fields and untreated (control) fields did not indicate any evidence that biosolids applications significantly (alpha = 0.05 or 0.10) increased concentration of any of these constituents in wheat grain. The wheat-grain concentrations from this study were similar to those from other studies for fields in North America where no biosolids were applied. The data for the limited crop samples indicate that biosolids applications are not increasing the concentrations of arsenic, cadmium, copper, lead, mercury, molybdenum, nickel, selenium, sulfur, and zinc in mature wheat grain from the study area.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20135065","collaboration":"Prepared in cooperation with the Metro Wastewater Reclamation District","usgsCitation":"Yager, T., Crock, J.G., Smith, D., Furlong, E.T., Hageman, P.L., Foreman, W., Gray, J.L., and ReVello, R., 2013, Effects of surface applications of biosolids on groundwater quality and trace-element concentrations in crops near Deer Trail, Colorado, 2004-2010: U.S. Geological Survey Scientific Investigations Report 2013-5065, vi, 119 p., https://doi.org/10.3133/sir20135065.","productDescription":"vi, 119 p.","numberOfPages":"129","onlineOnly":"Y","temporalStart":"2004-01-01","temporalEnd":"2010-12-01","costCenters":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true},{"id":452,"text":"National Water Quality Laboratory","active":true,"usgs":true}],"links":[{"id":276976,"rank":1,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2013/5065/SIR13-5065.pdf"},{"id":276975,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2013/5065/"},{"id":276977,"rank":3,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20135065.png"}],"country":"United States","state":"Colorado","city":"Deer Trail","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -105.5,38.75 ], [ -105.5,40.5 ], [ -103.0,40.5 ], [ -103.0,38.75 ], [ -105.5,38.75 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"521c6adae4b01458f78428f7","contributors":{"authors":[{"text":"Yager, Tracy J.B.","contributorId":10861,"corporation":false,"usgs":true,"family":"Yager","given":"Tracy J.B.","affiliations":[],"preferred":false,"id":483059,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Crock, James G. jcrock@usgs.gov","contributorId":200,"corporation":false,"usgs":true,"family":"Crock","given":"James","email":"jcrock@usgs.gov","middleInitial":"G.","affiliations":[],"preferred":true,"id":483052,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Smith, David B. 0000-0001-8396-9105 dsmith@usgs.gov","orcid":"https://orcid.org/0000-0001-8396-9105","contributorId":1274,"corporation":false,"usgs":true,"family":"Smith","given":"David B.","email":"dsmith@usgs.gov","affiliations":[{"id":218,"text":"Denver Federal Center","active":false,"usgs":true}],"preferred":false,"id":483056,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Furlong, Edward T. 0000-0002-7305-4603 efurlong@usgs.gov","orcid":"https://orcid.org/0000-0002-7305-4603","contributorId":740,"corporation":false,"usgs":true,"family":"Furlong","given":"Edward","email":"efurlong@usgs.gov","middleInitial":"T.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true},{"id":503,"text":"Office of Water Quality","active":true,"usgs":true},{"id":27111,"text":"National Water Quality Program","active":true,"usgs":true},{"id":5046,"text":"Branch of Analytical Serv (NWQL)","active":true,"usgs":true}],"preferred":true,"id":483053,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hageman, Philip L. 0000-0002-3440-2150 phageman@usgs.gov","orcid":"https://orcid.org/0000-0002-3440-2150","contributorId":811,"corporation":false,"usgs":true,"family":"Hageman","given":"Philip","email":"phageman@usgs.gov","middleInitial":"L.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":483054,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Foreman, William T. wforeman@usgs.gov","contributorId":1473,"corporation":false,"usgs":true,"family":"Foreman","given":"William T.","email":"wforeman@usgs.gov","affiliations":[{"id":452,"text":"National Water Quality Laboratory","active":true,"usgs":true}],"preferred":false,"id":483057,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Gray, James L. 0000-0002-0807-5635 jlgray@usgs.gov","orcid":"https://orcid.org/0000-0002-0807-5635","contributorId":1253,"corporation":false,"usgs":true,"family":"Gray","given":"James","email":"jlgray@usgs.gov","middleInitial":"L.","affiliations":[{"id":5046,"text":"Branch of Analytical Serv (NWQL)","active":true,"usgs":true},{"id":452,"text":"National Water Quality Laboratory","active":true,"usgs":true},{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":483055,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"ReVello, Rhiannon C. rcrevell@usgs.gov","contributorId":4128,"corporation":false,"usgs":true,"family":"ReVello","given":"Rhiannon C.","email":"rcrevell@usgs.gov","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":483058,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70177027,"text":"70177027 - 2013 - Predicting the toxicity of metal mixtures","interactions":[],"lastModifiedDate":"2016-10-19T15:36:08","indexId":"70177027","displayToPublicDate":"2013-08-25T00:00:00","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":"Predicting the toxicity of metal mixtures","docAbstract":"The toxicity of single and multiple metal (Cd, Cu, Pb, and Zn) solutions to trout is predicted using an approach that combines calculations of: (1) solution speciation; (2) competition and accumulation of cations (H, Ca, Mg, Na, Cd, Cu, Pb, and Zn) on low abundance, high affinity and high abundance, low affinity biotic ligand sites; (3) a toxicity function that accounts for accumulation and potency of individual toxicants; and (4) biological response. The approach is evaluated by examining water composition from single metal toxicity tests of trout at 50% mortality, results of theoretical calculations of metal accumulation on fish gills and associated mortality for single, binary, ternary, and quaternary metal solutions, and predictions for a field site impacted by acid rock drainage. These evaluations indicate that toxicity of metal mixtures depends on the relative affinity and potency of toxicants for a given aquatic organism, suites of metals in the mixture, dissolved metal concentrations and ratios, and background solution composition (temperature, pH, and concentrations of major ions and dissolved organic carbon). A composite function that incorporates solution composition, affinity and competition of cations for two types of biotic ligand sites, and potencies of hydrogen and individual metals is proposed as a tool to evaluate potential toxicity of environmental solutions to trout.","language":"English","publisher":"Elsevier B.V.","doi":"10.1016/j.scitotenv.2013.07.034","usgsCitation":"Balistrieri, L.S., and Mebane, C.A., 2013, Predicting the toxicity of metal mixtures: Science of the Total Environment, v. 466-467, p. 788-799, https://doi.org/10.1016/j.scitotenv.2013.07.034.","productDescription":"12 p.","startPage":"788","endPage":"799","ipdsId":"IP-049206","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":329770,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"466-467","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58088688e4b0f497e78e24d5","contributors":{"authors":[{"text":"Balistrieri, Laurie S. 0000-0002-6359-3849 balistri@usgs.gov","orcid":"https://orcid.org/0000-0002-6359-3849","contributorId":1406,"corporation":false,"usgs":true,"family":"Balistrieri","given":"Laurie","email":"balistri@usgs.gov","middleInitial":"S.","affiliations":[{"id":662,"text":"Western Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true},{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":651035,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mebane, Christopher A. 0000-0002-9089-0267 cmebane@usgs.gov","orcid":"https://orcid.org/0000-0002-9089-0267","contributorId":110,"corporation":false,"usgs":true,"family":"Mebane","given":"Christopher","email":"cmebane@usgs.gov","middleInitial":"A.","affiliations":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"preferred":true,"id":651036,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70047811,"text":"70047811 - 2013 - Leaf gas exchange and nutrient use efficiency help explain the distribution of two Neotropical mangroves under contrasting flooding and salinity","interactions":[],"lastModifiedDate":"2013-08-23T16:16:31","indexId":"70047811","displayToPublicDate":"2013-08-23T15:34:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2043,"text":"International Journal of Forestry Research","active":true,"publicationSubtype":{"id":10}},"title":"Leaf gas exchange and nutrient use efficiency help explain the distribution of two Neotropical mangroves under contrasting flooding and salinity","docAbstract":"Rhizophora mangle and Laguncularia racemosa co-occur along many intertidal floodplains in the Neotropics. Their patterns of dominance shift along various gradients, coincident with salinity, soil fertility, and tidal flooding. We used leaf gas exchange metrics to investigate the strategies of these two species in mixed culture to simulate competition under different salinity concentrations and hydroperiods. Semidiurnal tidal and permanent flooding hydroperiods at two constant salinity regimes (10 g L−1 and 40 g L−1) were simulated over 10 months. Assimilation (A), stomatal conductance (gw), intercellular CO2 concentration (Ci), instantaneous photosynthetic water use efficiency (PWUE), and photosynthetic nitrogen use efficiency (PNUE) were determined at the leaf level for both species over two time periods. Rhizophora mangle had significantly higher PWUE than did L. racemosa seedlings at low salinities; however, L. racemosa had higher PNUE and stomatal conductance and gw, accordingly, had greater intercellular CO2 (calculated) during measurements. Both species maintained similar capacities for assimilation at 10 and 40 g L−1 salinity and during both permanent and tidal hydroperiod treatments. Hydroperiod alone had no detectable effect on leaf gas exchange. However, PWUE increased and PNUE decreased for both species at 40 g L−1 salinity compared to 10 g L−1. At 40 g L−1 salinity, PNUE was higher for L. racemosa than R. mangle with tidal flooding. These treatments indicated that salinity influences gas exchange efficiency, might affect how gases are apportioned intercellularly, and accentuates different strategies for distributing leaf nitrogen to photosynthesis for these two species while growing competitively.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"International Journal of Forestry Research","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Hindawi Publishing Corporation","doi":"10.1155/2013/524625","usgsCitation":"Cardona-Olarte, P., Krauss, K.W., and Twilley, R.R., 2013, Leaf gas exchange and nutrient use efficiency help explain the distribution of two Neotropical mangroves under contrasting flooding and salinity: International Journal of Forestry Research, 10 p., https://doi.org/10.1155/2013/524625.","productDescription":"10 p.","numberOfPages":"10","ipdsId":"IP-045543","costCenters":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"links":[{"id":473589,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1155/2013/524625","text":"Publisher Index Page"},{"id":276970,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":276969,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1155/2013/524625"}],"country":"United States","state":"Florida;Louisiana","city":"Lafayette","otherGeospatial":"Terra Ceia Island","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -92.2134,27.2767 ], [ -92.2134,30.4332 ], [ -82.3077,30.4332 ], [ -82.3077,27.2767 ], [ -92.2134,27.2767 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5218765ee4b0e27b926cc669","contributors":{"authors":[{"text":"Cardona-Olarte, Pablo","contributorId":48081,"corporation":false,"usgs":true,"family":"Cardona-Olarte","given":"Pablo","email":"","affiliations":[],"preferred":false,"id":483026,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Krauss, Ken W. 0000-0003-2195-0729 kraussk@usgs.gov","orcid":"https://orcid.org/0000-0003-2195-0729","contributorId":2017,"corporation":false,"usgs":true,"family":"Krauss","given":"Ken","email":"kraussk@usgs.gov","middleInitial":"W.","affiliations":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":483024,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Twilley, Robert R.","contributorId":34585,"corporation":false,"usgs":false,"family":"Twilley","given":"Robert","email":"","middleInitial":"R.","affiliations":[{"id":5115,"text":"Louisiana State University","active":true,"usgs":false}],"preferred":false,"id":483025,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70047807,"text":"ds779 - 2013 - Dissolved pesticide concentrations in the Sacramento-San Joaquin Delta and Grizzly Bay, California, 2011-12","interactions":[],"lastModifiedDate":"2026-05-20T17:06:50.702236","indexId":"ds779","displayToPublicDate":"2013-08-23T12:49:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":310,"text":"Data Series","code":"DS","onlineIssn":"2327-638X","printIssn":"2327-0271","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"779","title":"Dissolved pesticide concentrations in the Sacramento-San Joaquin Delta and Grizzly Bay, California, 2011-12","docAbstract":"Surface-water samples were collected from sites within the Sacramento-San Joaquin Delta and Grizzly Bay, California, during the spring in 2011 and 2012, and they were analyzed by the U.S. Geological Survey for a suite of 99 current-use pesticides and pesticide degradates. Samples were collected and analyzed as part of a collaborative project studying the occurrence and characteristics of phytoplankton in the San Francisco Estuary. Samples were analyzed by two separate laboratory methods employing gas chromatography/mass spectrometry or liquid chromatography with tandem mass spectrometry. Method detection limits ranged from 0.9 to 10.5 nanograms per liter (ng/L). Eighteen pesticides were detected in samples collected during 2011, and the most frequently detected compounds were the herbicides clomazone, diuron, hexazinone and metolachlor, and the diuron degradates 3,4-dichloroaniline and N-(3,4-dichlorophenyl)-N’-methylurea (DCPMU). Concentrations for all compounds were less than 75 ng/L, except for the rice herbicide clomazone and the fungicide tetraconazole, which had maximum concentrations of 535 and 511 ng/L, respectively. In samples collected in 2012, a total of 16 pesticides were detected. The most frequently detected compounds were the fungicides azoxystrobin and boscalid and the herbicides diuron, hexazinone, metolachlor, and simazine. Maximum concentrations for all compounds detected in 2012 were less than 75 ng/L, except for the fungicide azoxystrobin and the herbicides hexazinone and simazine, which were detected at up to 188, 134, and 140 ng/L, respectively.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds779","collaboration":"Prepared in cooperation with the San Luis and Delta Mendota Water Authority","usgsCitation":"Orlando, J., McWayne, M., Sanders, C., and Hladik, M., 2013, Dissolved pesticide concentrations in the Sacramento-San Joaquin Delta and Grizzly Bay, California, 2011-12: U.S. Geological Survey Data Series 779, viii, 24 p., https://doi.org/10.3133/ds779.","productDescription":"viii, 24 p.","numberOfPages":"36","temporalStart":"2011-01-01","temporalEnd":"2012-12-31","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true},{"id":552,"text":"San Francisco Bay-Delta","active":false,"usgs":true}],"links":[{"id":276960,"rank":1,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/ds/779/pdf/ds779.pdf"},{"id":276959,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/779/"},{"id":276961,"rank":3,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ds779.jpg"},{"id":504567,"rank":4,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_98805.htm","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"California","otherGeospatial":"Grizzly Bay, Sacramento-San Joaquin Delta","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -122.5,37.75 ], [ -122.5,38.75 ], [ -121.0,38.75 ], [ -121.0,37.75 ], [ -122.5,37.75 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5218765de4b0e27b926cc661","contributors":{"authors":[{"text":"Orlando, James L. 0000-0002-0099-7221","orcid":"https://orcid.org/0000-0002-0099-7221","contributorId":95954,"corporation":false,"usgs":true,"family":"Orlando","given":"James L.","affiliations":[],"preferred":false,"id":483010,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McWayne, Megan 0000-0001-8069-6420","orcid":"https://orcid.org/0000-0001-8069-6420","contributorId":36038,"corporation":false,"usgs":true,"family":"McWayne","given":"Megan","affiliations":[],"preferred":false,"id":483007,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sanders, Corey 0000-0001-7743-6396","orcid":"https://orcid.org/0000-0001-7743-6396","contributorId":39682,"corporation":false,"usgs":true,"family":"Sanders","given":"Corey","affiliations":[],"preferred":false,"id":483008,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hladik, Michelle 0000-0002-0891-2712","orcid":"https://orcid.org/0000-0002-0891-2712","contributorId":45990,"corporation":false,"usgs":true,"family":"Hladik","given":"Michelle","affiliations":[],"preferred":false,"id":483009,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70047771,"text":"70047771 - 2013 - Analysis of long-term trends (1950–2009) in precipitation, runoff and runoff coefficient in major urban watersheds in the United States","interactions":[],"lastModifiedDate":"2013-08-23T08:01:31","indexId":"70047771","displayToPublicDate":"2013-08-23T07:47:33","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1562,"text":"Environmental Research Letters","active":true,"publicationSubtype":{"id":10}},"title":"Analysis of long-term trends (1950–2009) in precipitation, runoff and runoff coefficient in major urban watersheds in the United States","docAbstract":"This study investigates the long-term trends in precipitation, runoff and runoff coefficient in major urban watersheds in the United States. The seasonal Mann–Kendall trend test was performed on monthly precipitation, runoff and runoff coefficient data from 1950 to 2009 obtained from 62 urban watersheds covering 21 major urban centers in the United States. The results indicate that only five out of 21 urban centers in the United States showed an uptrend in precipitation. Twelve urban centers showed an uptrend in runoff coefficient. However, six urban centers did not show any trend in runoff coefficient, and three urban centers showed a significant downtrend. The highest rate of change in precipitation, runoff and runoff coefficient was observed in the Houston urban watershed. Based on the results obtained, we also attributed plausible causes for the trends. Our analysis indicated that while a human only influence is observed in most of the urban watersheds, a combined climate and human influence is observed in the central United States.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Environmental Research Letters","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"IOP Publishing","doi":"10.1088/1748-9326/8/2/024020","usgsCitation":"Velpuri, N., and Senay, G., 2013, Analysis of long-term trends (1950–2009) in precipitation, runoff and runoff coefficient in major urban watersheds in the United States: Environmental Research Letters, v. 8, no. 2, Article number 024020, https://doi.org/10.1088/1748-9326/8/2/024020.","productDescription":"Article number 024020","ipdsId":"IP-042785","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":473590,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1088/1748-9326/8/2/024020","text":"Publisher Index Page"},{"id":276912,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1088/1748-9326/8/2/024020"},{"id":276925,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ 173.0,16.916667 ], [ 173.0,71.833333 ], [ -66.95,71.833333 ], [ -66.95,16.916667 ], [ 173.0,16.916667 ] ] ] } } ] }","volume":"8","issue":"2","noUsgsAuthors":false,"publicationDate":"2013-05-09","publicationStatus":"PW","scienceBaseUri":"5218764fe4b0e27b926cc65d","contributors":{"authors":[{"text":"Velpuri, N.M. 0000-0002-6370-1926","orcid":"https://orcid.org/0000-0002-6370-1926","contributorId":66495,"corporation":false,"usgs":true,"family":"Velpuri","given":"N.M.","affiliations":[],"preferred":false,"id":482937,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Senay, G.B. 0000-0002-8810-8539","orcid":"https://orcid.org/0000-0002-8810-8539","contributorId":17741,"corporation":false,"usgs":true,"family":"Senay","given":"G.B.","affiliations":[],"preferred":false,"id":482936,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70043513,"text":"70043513 - 2013 - Time-lapse analysis of methane quantity in Mary Lee group of coal seams using filter-based multiple-point geostatistical simulation","interactions":[],"lastModifiedDate":"2013-08-22T15:57:52","indexId":"70043513","displayToPublicDate":"2013-08-22T15:49:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2701,"text":"Mathematical Geosciences","active":true,"publicationSubtype":{"id":10}},"title":"Time-lapse analysis of methane quantity in Mary Lee group of coal seams using filter-based multiple-point geostatistical simulation","docAbstract":"Coal seam degasification and its success are important for controlling methane, and thus for the health and safety of coal miners. During the course of degasification, properties of coal seams change. Thus, the changes in coal reservoir conditions and in-place gas content as well as methane emission potential into mines should be evaluated by examining time-dependent changes and the presence of major heterogeneities and geological discontinuities in the field. In this work, time-lapsed reservoir and fluid storage properties of the New Castle coal seam, Mary Lee/Blue Creek seam, and Jagger seam of Black Warrior Basin, Alabama, were determined from gas and water production history matching and production forecasting of vertical degasification wellbores. These properties were combined with isotherm and other important data to compute gas-in-place (GIP) and its change with time at borehole locations. Time-lapsed training images (TIs) of GIP and GIP difference corresponding to each coal and date were generated by using these point-wise data and Voronoi decomposition on the TI grid, which included faults as discontinuities for expansion of Voronoi regions. Filter-based multiple-point geostatistical simulations, which were preferred in this study due to anisotropies and discontinuities in the area, were used to predict time-lapsed GIP distributions within the study area. Performed simulations were used for mapping spatial time-lapsed methane quantities as well as their uncertainties within the study area.\nThe systematic approach presented in this paper is the first time in literature that history matching, TIs of GIPs and filter simulations are used for degasification performance evaluation and for assessing GIP for mining safety. Results from this study showed that using production history matching of coalbed methane wells to determine time-lapsed reservoir data could be used to compute spatial GIP and representative GIP TIs generated through Voronoi decomposition. Furthermore, performing filter simulations using point-wise data and TIs could be used to predict methane quantity in coal seams subjected to degasification. During the course of the study, it was shown that the material balance of gas produced by wellbores and the GIP reductions in coal seams predicted using filter simulations compared very well, showing the success of filter simulations for continuous variables in this case study. Quantitative results from filter simulations of GIP within the studied area briefly showed that GIP was reduced from an initial ∼73 Bcf (median) to ∼46 Bcf (2011), representing a 37 % decrease and varying spatially through degasification. It is forecasted that there will be an additional ∼2 Bcf reduction in methane quantity between 2011 and 2015. This study and presented results showed that the applied methodology and utilized techniques can be used to map GIP and its change within coal seams after degasification, which can further be used for ventilation design for methane control in coal mines.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Mathematical Geosciences","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Springer","doi":"10.1007/s11004-013-9474-1","usgsCitation":"Karacan, C., and Olea, R., 2013, Time-lapse analysis of methane quantity in Mary Lee group of coal seams using filter-based multiple-point geostatistical simulation: Mathematical Geosciences, v. 45, no. 6, p. 681-704, https://doi.org/10.1007/s11004-013-9474-1.","productDescription":"24 p.","startPage":"681","endPage":"704","numberOfPages":"24","ipdsId":"IP-039496","costCenters":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":473591,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://www.ncbi.nlm.nih.gov/pmc/articles/4503532","text":"External Repository"},{"id":276923,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":276921,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s11004-013-9474-1"}],"country":"United States","state":"Alabama","otherGeospatial":"Black Warrior Basin","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -88.4731,31.8421 ], [ -88.4731,35.008 ], [ -85.9759,35.008 ], [ -85.9759,31.8421 ], [ -88.4731,31.8421 ] ] ] } } ] }","volume":"45","issue":"6","noUsgsAuthors":false,"publicationDate":"2013-06-25","publicationStatus":"PW","scienceBaseUri":"521724dee4b043bae8d2e5c1","contributors":{"authors":[{"text":"Karacan, C. Özgen 0000-0002-0947-8241","orcid":"https://orcid.org/0000-0002-0947-8241","contributorId":96571,"corporation":false,"usgs":true,"family":"Karacan","given":"C. Özgen","affiliations":[],"preferred":false,"id":473748,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Olea, Ricardo A. 0000-0003-4308-0808","orcid":"https://orcid.org/0000-0003-4308-0808","contributorId":47873,"corporation":false,"usgs":true,"family":"Olea","given":"Ricardo A.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":false,"id":473747,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70047766,"text":"sir20135089 - 2013 - Method to support Total Maximum Daily Load development using hydrologic alteration as a surrogate to address aquatic life impairment in New Jersey streams","interactions":[],"lastModifiedDate":"2018-11-01T12:06:18","indexId":"sir20135089","displayToPublicDate":"2013-08-22T13:36:00","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":"2013-5089","title":"Method to support Total Maximum Daily Load development using hydrologic alteration as a surrogate to address aquatic life impairment in New Jersey streams","docAbstract":"More than 300 ambient monitoring sites in New Jersey have been identified by the New Jersey Department of Environmental Protection (NJDEP) in its integrated water-quality monitoring and assessment report (that is, the 305(b) Report on general water quality and 303(d) List of waters that do not support their designated uses) as being impaired with respect to aquatic life; however, no unambiguous stressors (for example, nutrients or bacteria) have been identified. Because of the indeterminate nature of the broad range of possible impairments, surrogate measures that more holistically encapsulate the full suite of potential environmental stressors need to be developed. Streamflow alteration resulting from anthropogenic changes in the landscape is one such surrogate. For example, increases in impervious surface cover (ISC) commonly cause increases in surface runoff, which can result in “flashy” hydrology and other changes in the stream corridor that are associated with streamflow alteration. The NJDEP has indicated that methodologies to support a hydrologically based Total Maximum Daily Load (hydro-TMDL) need to be developed in order to identify hydrologic targets that represent a minimal percent deviation from a baseline condition (“minimally altered”) as a surrogate measure to meet criteria in support of designated uses.
The primary objective of this study was to develop an applicable hydro-TMDL approach to address aquatic-life impairments associated with hydrologic alteration for New Jersey streams. The U.S. Geological Survey, in cooperation with the NJDEP, identified 51 non- to moderately impaired gaged streamflow sites in the Raritan River Basin for evaluation. Quantile regression (QR) analysis was used to compare flow and precipitation records and identify baseline hydrographs at 37 of these sites. At sites without an appropriately long period of record (POR) or where a baseline hydrograph could not be identified with QR, a rainfall-runoff model was used to develop simulated baseline hydrographs. The hydro-TMDL approach provided an opportunity to evaluate proportional differences in flow attributes between observed and baseline hydrographs and to develop complementary flow-ecology response relations at a subset of Raritan River Basin sites where available flow and ecological information overlapped.
The New Jersey Stream Classification Tool (NJSCT) was used to determine the stream class of all 51 study sites by using either an observed or a simulated baseline hydrograph. Two New Jersey stream classes (A and C) were evaluated to help characterize the unique hydrology of the Raritan River Basin. In general, class C streams (1.99–40.7 square miles) had smaller drainage areas than class A streams (0.7–785 square miles). Many of the non-impaired and moderately impaired class A and C streams in the Raritan River Basin were found to have significant hydrologic alteration as indicated by numerous flow values that fell outside the established 25th-to-75th- and the more conservative 40th-to-60th-percentile boundaries. However, percent deviations for the class C streams (defined as moderately stable streams with moderately high base-flow contributions) were, in general, much larger than those for the class A streams (defined as semiflashy streams characterized by moderately low base flow). The greater deviations for class C streams in the hydro-TMDL assessments likely resulted from comparisons that were based solely on simulated baseline hydrographs, which were developed without considering any anthropogenic influences in the basin. In contrast, comparisons for many of the class A streams were made by using an observed baseline, which already includes an implicit level of ISC and other human influences on the landscape.
By using the hydro-TMDL approach, numerous flow deviations were identified that were indicative of streams that are highly regulated by reservoirs or dams, streams that are affected by increasing amounts of surface runoff resulting from ISC, and streams that are affected by water abstraction (that is, groundwater or surface-water withdrawals used for agricultural and human supply). Eight of the reservoir- and (or) dam-affected sites showed flow deviations that are indicative of flow-managed systems. For example, indices that account for the timing and magnitude of high and low flows were often found to fall outside the 25th-to-75th-percentile range. In general, at regulated class C streams, annual summer low flows are arriving later and tend to be lower, and high flows are arriving earlier with higher magnitudes of longer duration. At class A streams, high and low flows are arriving later with an overall increase in discharge with respect to the prereservoir baseline conditions.
The drainage basins of eight of the study sites had large values of ISC (>10 percent), most likely as a result of expanding urban development. In general, the magnitude and frequency of high flows at class A and C sites with high ISC are increasing and were commonly found to fall outside the 25th-to-75th-percentile range. Additionally, magnitudes of low flows are becoming lower and, although the timing of high flows was highly variable, low-flow events appeared to be arriving earlier than would be expected under normal low-flow conditions. Three of the study sites appeared to be affected by hydrologic changes associated with water abstraction. At these sites, the timing of flows appeared to be altered. For example, low flows tended to arrive earlier and high flows arrived later at two of the three sites. Additionally, the magnitude and duration of low flows were commonly less than the 25th-percentile value and the duration of high flows appeared to increase.
A reduced set of hydrologic and ecological variables was used to develop univariate and multivariate flow-ecology response models for the aquatic-invertebrate assemblage. Many hydrologic variables accounting for the duration, magnitude, frequency, and timing of flows were significantly correlated with ecological response. Multiple linear regression (MLR) models were developed to provide a more holistic evaluation of the combined effects of hydrologic alteration and to identify models with two or three hydrologic variables that account for a significant proportion of the variability in invertebrate-assemblage condition as represented by assemblage metric scores. MLR models, derived on the basis of hydrologic attributes, accounted for 35 to 75 percent of the variability in assemblage condition.
The hydro-TMDL method developed herein for non- to moderately impaired Raritan River Basin streams utilizes a “surrogate” approach in place of the traditional “pollutant of concern” approach commonly used for TMDL development. Managers can use the results obtained by using the hydro-TMDL method to offset the effects of impervious-surface runoff and altered streamflow and to implement measures designed to achieve the necessary load reductions for the “pollutant of concern” (that is, percentage deviations of stream-class-specific flow-index values outside the established 25th-to-75th-percentile range). In this case, such deviations could represent all or a subset of the altered flow indices that prevent the stream from meeting designated aquatic-life criteria. This hydro-TMDL uses a reference, or attainment stream approach for developing the TMDL endpoint. That is, either observed or simulated baseline hydrographs were selected as appropriate reference conditions on the basis of results of QR analysis and watershed modeling procedures, respectively. For any stream in the Raritan River Basin evaluated as part of this study, the hydro-TMDL can be expressed as the greatest amount of deviation in flow a stream can exhibit without violating the stream’s designated aquatic-life criteria. Use of this surrogate approach is appropriate because flows that fall outside the established percentile ranges are ultimately a function of many anthropogenic modifications of the landscape, including the amount of stormwater runoff generated from impervious surfaces within a given basin, the presence of manmade structures designed to retain or divert water, the magnitude of ground- and surface-water abstraction, and the presence of water-supply processes implemented to support human needs. In addition, the stream-type-specific flow indices used as the basis for the hydro-TMDL approach are useful for representing the hydrologic conditions of class A and C streams/basins because they incorporate the full spectrum of flow conditions (very low to very high) that occur in the stream system over a long period of time, as well as those flow properties that change as a result of seasonal variation.
Ultimately, an estimate of the maximum percentage flow reduction that could be allowed will be needed to address the aquatic-life impairments in many of the study streams in the Raritan River Basin and will be necessary for identifying appropriate target flow conditions for hydro-TMDL implementation. As described in this report, a target flow value equal to the 25th- or 75th-percentile flow rate could be selected as the point useful for setting specific hydrologic targets. This selection, however, is a management decision that could vary depending on the designated use of the stream or other regulatory factors (for example, water-supply protection, trout production, antidegradation policies, or special protection designations). In New Jersey streams where no unambiguous stressors can be identified, State monitoring agencies, such as the NJDEP, could choose to require the implementation of a flow-based TMDL that not only supports designated uses, but meets the regulatory requirements under the Clean Water Act, and represents a balance between water supply intended to meet human needs and the conservation of ecosystem integrity.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20135089","collaboration":"Prepared in cooperation with the New Jersey Department of Environmental Protection","usgsCitation":"Kennen, J., Riskin, M.L., Reilly, P.A., and Colarullo, S.J., 2013, Method to support Total Maximum Daily Load development using hydrologic alteration as a surrogate to address aquatic life impairment in New Jersey streams: U.S. Geological Survey Scientific Investigations Report 2013-5089, viii, 86 p., https://doi.org/10.3133/sir20135089.","productDescription":"viii, 86 p.","numberOfPages":"98","onlineOnly":"Y","costCenters":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"links":[{"id":276906,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20135089.png"},{"id":276904,"rank":1,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2013/5089/","text":"Index Page","linkFileType":{"id":5,"text":"html"}},{"id":276905,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2013/5089/pdf/sir2013-5089.pdf","text":"Report","linkFileType":{"id":1,"text":"pdf"}}],"country":"United States","state":"New Jersey","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -75.25,\n 40\n ],\n [\n -74.25,\n 40\n ],\n [\n -74.25,\n 41\n ],\n [\n -75.25,\n 41\n ],\n [\n -75.25,\n 40\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"521724dae4b043bae8d2e5a9","contributors":{"authors":[{"text":"Kennen, Jonathan G. 0000-0002-5426-4445 jgkennen@usgs.gov","orcid":"https://orcid.org/0000-0002-5426-4445","contributorId":574,"corporation":false,"usgs":true,"family":"Kennen","given":"Jonathan G.","email":"jgkennen@usgs.gov","affiliations":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"preferred":true,"id":482925,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Riskin, Melissa L. 0000-0001-6499-3775 mriskin@usgs.gov","orcid":"https://orcid.org/0000-0001-6499-3775","contributorId":654,"corporation":false,"usgs":true,"family":"Riskin","given":"Melissa","email":"mriskin@usgs.gov","middleInitial":"L.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":37786,"text":"WMA - Observing Systems Division","active":true,"usgs":true},{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"preferred":true,"id":482928,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Reilly, Pamela A. 0000-0002-2937-4490 jankowsk@usgs.gov","orcid":"https://orcid.org/0000-0002-2937-4490","contributorId":653,"corporation":false,"usgs":true,"family":"Reilly","given":"Pamela","email":"jankowsk@usgs.gov","middleInitial":"A.","affiliations":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"preferred":true,"id":482927,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Colarullo, Susan J. 0000-0003-4504-0068 colarull@usgs.gov","orcid":"https://orcid.org/0000-0003-4504-0068","contributorId":652,"corporation":false,"usgs":true,"family":"Colarullo","given":"Susan","email":"colarull@usgs.gov","middleInitial":"J.","affiliations":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"preferred":true,"id":482926,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70047763,"text":"sir20135091 - 2013 - A deposit model for magmatic iron-titanium-oxide deposits related to Proterozoic massif anorthosite plutonic suites","interactions":[{"subject":{"id":70047763,"text":"sir20135091 - 2013 - A deposit model for magmatic iron-titanium-oxide deposits related to Proterozoic massif anorthosite plutonic suites","indexId":"sir20135091","publicationYear":"2013","noYear":false,"title":"A deposit model for magmatic iron-titanium-oxide deposits related to Proterozoic massif anorthosite plutonic suites"},"predicate":"SUPERSEDED_BY","object":{"id":70116317,"text":"sir20105070K - 2013 - A deposit model for magmatic iron-titanium-oxide deposits related to Proterozoic massif anorthosite plutonic suite","indexId":"sir20105070K","publicationYear":"2013","noYear":false,"chapter":"K","title":"A deposit model for magmatic iron-titanium-oxide deposits related to Proterozoic massif anorthosite plutonic suite"},"id":1}],"supersededBy":{"id":70116317,"text":"sir20105070K - 2013 - A deposit model for magmatic iron-titanium-oxide deposits related to Proterozoic massif anorthosite plutonic suite","indexId":"sir20105070K","publicationYear":"2013","noYear":false,"title":"A deposit model for magmatic iron-titanium-oxide deposits related to Proterozoic massif anorthosite plutonic suite"},"lastModifiedDate":"2018-11-26T09:35:39","indexId":"sir20135091","displayToPublicDate":"2013-08-22T11:55:07","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":"2013-5091","title":"A deposit model for magmatic iron-titanium-oxide deposits related to Proterozoic massif anorthosite plutonic suites","docAbstract":"This descriptive model for magmatic iron-titanium-oxide (Fe-Ti-oxide) deposits hosted by Proterozoic age massif-type anorthosite and related rock types presents their geological, mineralogical, geochemical, and geoenvironmental attributes. Although these Proterozoic rocks are found worldwide, the majority of known deposits are found within exposed rocks of the Grenville Province, stretching from southwestern United States through eastern Canada; its extension into Norway is termed the Rogaland Anorthosite Province. This type of Fe-Ti-oxide deposit dominated by ilmenite rarely contains more than 300 million tons of ore, with between 10- to 45-percent titanium dioxide (TiO2), 32- to 45-percent iron oxide (FeO), and less than 0.2-percent vanadium (V). The origin of these typically discordant ore deposits remains as enigmatic as the magmatic evolution of their host rocks. The deposits clearly have a magmatic origin, hosted by an age-constrained unique suite of rocks that likely are the consequence of a particular combination of tectonic circumstances, rather than any a priori temporal control. Principal ore minerals are ilmenite and hemo-ilmenite (ilmenite with extensive hematite exsolution lamellae); occurrences of titanomagnetite, magnetite, and apatite that are related to this deposit type are currently of less economic importance. Ore-mineral paragenesis is somewhat obscured by complicated solid solution and oxidation behavior within the Fe-Ti-oxide system. Anorthosite suites hosting these deposits require an extensive history of voluminous plagioclase crystallization to develop plagioclase-melt diapirs with entrained Fe-Ti-rich melt rising from the base of the lithosphere to mid- and upper-crustal levels. Timing and style of oxide mineralization are related to magmatic and dynamic evolution of these diapiric systems and to development and movement of oxide cumulates and related melts. Active mines have developed large open pits with extensive waste-rock piles, but because of the nature of the ore and waste rock, the major environmental impacts documented at the mine sites are reported to be waste disposal issues and somewhat degraded water quality.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20135091","usgsCitation":"Woodruff, L.G., Nicholson, S.W., and Fey, D.L., 2013, A deposit model for magmatic iron-titanium-oxide deposits related to Proterozoic massif anorthosite plutonic suites: U.S. Geological Survey Scientific Investigations Report 2013-5091, vii, 47 p., https://doi.org/10.3133/sir20135091.","productDescription":"vii, 47 p.","numberOfPages":"58","onlineOnly":"Y","costCenters":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"links":[{"id":276898,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20135091.gif"},{"id":276897,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2013/5091/"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"521724cfe4b043bae8d2e59d","contributors":{"authors":[{"text":"Woodruff, Laurel G. 0000-0002-2514-9923 woodruff@usgs.gov","orcid":"https://orcid.org/0000-0002-2514-9923","contributorId":2224,"corporation":false,"usgs":true,"family":"Woodruff","given":"Laurel","email":"woodruff@usgs.gov","middleInitial":"G.","affiliations":[{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":482920,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Nicholson, Suzanne W. 0000-0002-9365-1894 swnich@usgs.gov","orcid":"https://orcid.org/0000-0002-9365-1894","contributorId":880,"corporation":false,"usgs":true,"family":"Nicholson","given":"Suzanne","email":"swnich@usgs.gov","middleInitial":"W.","affiliations":[],"preferred":true,"id":482919,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fey, David L. dfey@usgs.gov","contributorId":713,"corporation":false,"usgs":true,"family":"Fey","given":"David","email":"dfey@usgs.gov","middleInitial":"L.","affiliations":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":482918,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70047762,"text":"fs20133048 - 2013 - Monitoring of green infrastructure at The Grove in Bloomington, Illinois","interactions":[],"lastModifiedDate":"2013-08-22T11:47:39","indexId":"fs20133048","displayToPublicDate":"2013-08-22T11:38:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2013-3048","title":"Monitoring of green infrastructure at The Grove in Bloomington, Illinois","docAbstract":"The City of Bloomington, Illinois, restored Kickapoo Creek to a more natural state by incorporating green infrastructure—specifically flood-plain reconnection, riparian wetlands, meanders, and rock riffles—at a 90-acre park within The Grove residential development. A team of State and Federal agencies and contractors are collecting data to monitor the effectiveness of this stream restoration in improving water quality and stream habitat. The U.S. Geological Survey (USGS) is collecting and analyzing water resources data; Illinois Department of Natural Resources (IDNR) is collecting fish population data; Illinois Environmental Protection Agency (IEPA) is collecting macroinvertebrates and riparian habitat data; and Prairie Engineers of Illinois, P.C., is collecting vegetation data. The data collection includes conditions upstream, within, and downstream of the development and restoration. The 480-acre development was designed by the Farnsworth Group to reduce peak stormwater flows by capturing runoff in the reconnected flood plains with shallow wetland basins. Also, an undersized park bridge was built at the downstream end of the park to pass the 20-percent annual exceedance probability flows (historically referred to as the 5-year flood), but detain larger floods. This design also helps limit sediment deposition from sediments transported in the drainage ditches in the upper 9,000 acres of agricultural row crops. Maintaining sediment-transport capacity minimizes sediment deposition in the restored stream segments, which reduces the loss of riparian and wetland-plant communities and instream habitat. Two additional goals of the restoration were to reduce nutrient loads and maintain water quality to support a diverse community of biotic species. Overall, 2 miles of previously managed agricultural-drainage ditches of Kickapoo Creek were restored, and the park landscape maximizes the enhancement of native riparian, wetland, and aquatic species for the park’s trail system. The purpose of this fact sheet is to give an overview and examples of the data being collected.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20133048","collaboration":"Prepared in cooperation with the U.S. Environmental Protection Agency, Illinois Environmental Protection Agency, City of Bloomington, Illinois, Illinois Department of Natural Resources, U.S. Department of Agriculture, Natural Resources Conservation Service, Prairie Engineers of Illinois, P.C.","usgsCitation":"Roseboom, D., and Straub, T., 2013, Monitoring of green infrastructure at The Grove in Bloomington, Illinois: U.S. Geological Survey Fact Sheet 2013-3048, 4 p., https://doi.org/10.3133/fs20133048.","productDescription":"4 p.","onlineOnly":"Y","costCenters":[{"id":344,"text":"Illinois Water Science Center","active":true,"usgs":true}],"links":[{"id":276896,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs20133048.gif"},{"id":276894,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2013/3048/"},{"id":276895,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2013/3048/pdf/fs2013-3048.pdf"}],"country":"United States","state":"Illinois","city":"Bloomington","otherGeospatial":"Kickapoo Creek","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -88.88,40.45 ], [ -88.88,40.475 ], [ -88.85,40.475 ], [ -88.85,40.45 ], [ -88.88,40.45 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"521724dde4b043bae8d2e5ad","contributors":{"authors":[{"text":"Roseboom, Donald P.","contributorId":94747,"corporation":false,"usgs":true,"family":"Roseboom","given":"Donald P.","affiliations":[],"preferred":false,"id":482917,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Straub, Timothy D. 0000-0002-5896-0851 tdstraub@usgs.gov","orcid":"https://orcid.org/0000-0002-5896-0851","contributorId":2273,"corporation":false,"usgs":true,"family":"Straub","given":"Timothy D.","email":"tdstraub@usgs.gov","affiliations":[{"id":344,"text":"Illinois Water Science Center","active":true,"usgs":true}],"preferred":false,"id":482916,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
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