{"pageNumber":"639","pageRowStart":"15950","pageSize":"25","recordCount":69037,"records":[{"id":70093267,"text":"70093267 - 2013 - Potential effects of climate change on inland glacial lakes and implications for lake-dependent biota in Wisconsin: final report April 2013","interactions":[],"lastModifiedDate":"2014-04-11T12:54:52","indexId":"70093267","displayToPublicDate":"2013-01-01T12:49:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":2,"text":"State or Local Government Series"},"title":"Potential effects of climate change on inland glacial lakes and implications for lake-dependent biota in Wisconsin: final report April 2013","docAbstract":"The economic vitality and quality of life of many northern Wisconsin communities is closely \nassociated with the ecological condition of the abundant water resources in the region. Climate change \nmodels predict warmer temperatures, changes to precipitation patterns, and increased evapotranspiration in \nthe Great Lakes region. Recently (1950-2006), many regions of Wisconsin have experienced warming, and \nprecipitation has generally increased except in far northern Wisconsin. Modeling conducted by the \nUniversity of Wisconsin Nelson Environmental Institute Center for Climate Research predicts an increase \nin annual temperature by the middle of the 21st\n century of approximately 6°\nF statewide, and an increase in \nprecipitation of 1”–2”. However, summer precipitation in the northern part of the state is expected to be \nless and winter precipitation will be greater. By the end of the 21st century, the magnitude of changes in \ntemperature and precipitation are expected to intensify. \nSuch climatic changes have altered, and would further alter hydrological, chemical, and physical \nproperties of inland lakes. Lake-dependent wildlife sensitive to changes in water quality, are particularly \nsusceptible to lake quality-associated habitat changes and are likely to suffer restrictions to current breeding \ndistributions under some climate change scenarios. We have selected the common loon (Gavia immer) to \nserve as a sentinel lake-dependent piscivorous species to be used in the development of a template for \nlinking primary lake-dependent biota endpoints (e.g., decline in productivity and/or breeding range \ncontraction) to important lake quality indicators. In the current project, we evaluate how changes in \nfreshwater habitat quality (specifically lake clarity) may impact common loon lake occupancy in Wisconsin \nunder detailed climate-change scenarios. In addition, we employ simple land-use/land cover and habitat \nscenarios to illustrate the potential interaction of climate and land-use/land cover effects. The methods \nemployed here provide a template for studies where integration of physical and biotic models is used to \nproject future conditions under various climate and land use change scenarios. Findings presented here \nproject the future conditions of lakes and loons within an important watershed in northern Wisconsin – of \nimportance to water resource managers and state citizens alike.","language":"English","publisher":"Focus on Energy","collaboration":"Environmental and Economic Research and Development Program","usgsCitation":"Meyer, M., Walker, J.F., Kenow, K.P., Rasmussen, P.W., Garrison, P.J., Hanson, P.C., and Hunt, R.J., 2013, Potential effects of climate change on inland glacial lakes and implications for lake-dependent biota in Wisconsin: final report April 2013, x, 166 p.","productDescription":"x, 166 p.","numberOfPages":"176","ipdsId":"IP-038873","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":286291,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Wisconsin","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -92.8894,42.4919 ], [ -92.8894,47.0807 ], [ -86.764,47.0807 ], [ -86.764,42.4919 ], [ -92.8894,42.4919 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"535594f7e4b0120853e8c10d","contributors":{"authors":[{"text":"Meyer, Michael W.","contributorId":38943,"corporation":false,"usgs":true,"family":"Meyer","given":"Michael W.","affiliations":[],"preferred":false,"id":490005,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Walker, John F. jfwalker@usgs.gov","contributorId":1081,"corporation":false,"usgs":true,"family":"Walker","given":"John","email":"jfwalker@usgs.gov","middleInitial":"F.","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":true,"id":490000,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kenow, Kevin P. 0000-0002-3062-5197 kkenow@usgs.gov","orcid":"https://orcid.org/0000-0002-3062-5197","contributorId":3339,"corporation":false,"usgs":true,"family":"Kenow","given":"Kevin","email":"kkenow@usgs.gov","middleInitial":"P.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":490002,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Rasmussen, Paul W.","contributorId":17753,"corporation":false,"usgs":true,"family":"Rasmussen","given":"Paul","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":490003,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Garrison, Paul J.","contributorId":73193,"corporation":false,"usgs":true,"family":"Garrison","given":"Paul","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":490006,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hanson, Paul C.","contributorId":35634,"corporation":false,"usgs":false,"family":"Hanson","given":"Paul","email":"","middleInitial":"C.","affiliations":[{"id":12951,"text":"Center for Limnology, University of Wisconsin Madison","active":true,"usgs":false}],"preferred":false,"id":490004,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Hunt, Randall J. 0000-0001-6465-9304 rjhunt@usgs.gov","orcid":"https://orcid.org/0000-0001-6465-9304","contributorId":1129,"corporation":false,"usgs":true,"family":"Hunt","given":"Randall","email":"rjhunt@usgs.gov","middleInitial":"J.","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":true,"id":490001,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70148662,"text":"70148662 - 2013 - Spatial extent and dynamics of dam impacts on tropical island freshwater fish assemblages","interactions":[],"lastModifiedDate":"2015-06-19T11:48:05","indexId":"70148662","displayToPublicDate":"2013-01-01T12:45:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":997,"text":"BioScience","active":true,"publicationSubtype":{"id":10}},"title":"Spatial extent and dynamics of dam impacts on tropical island freshwater fish assemblages","docAbstract":"<p>Habitat connectivity is vital to the persistence of migratory fishes. Native tropical island stream fish assemblages composed of diadromous species require intact corridors between ocean and riverine habitats. High dams block fish migration, but low-head artificial barriers are more widespread and are rarely assessed for impacts. Among all 46 drainages in Puerto Rico, we identified and surveyed 335 artificial barriers that hinder fish migration to 74.5% of the upstream habitat. We also surveyed occupancy of native diadromous fishes (Anguillidae, Eleotridae, Gobiidae, and Mugilidae) in 118 river reaches. Occupancy models demonstrated that barriers 2 meters (m) high restricted nongoby fish migration and extirpated those fish upstream of 4-m barriers. Gobies are adapted to climbing and are restricted by 12-m barriers and extirpated upstream of 32-m barriers. Our findings quantitatively illustrate the extensive impact of low-head structures on island stream fauna and provide guidance for natural resource management, habitat restoration, and water development strategies.</p>","language":"English","publisher":"American Institute of Biological Sciences","publisherLocation":"Washington, D.C.","doi":"10.1525/bio.2013.63.3.6","collaboration":"Puerto Rico Department of Natural and Environmental Resources through Federal Aid in Sport Fish Restoration; US Fish and Wildlife Service, Division of Fish and Wildlife Management, Branch of Habitat Restoration; North Carolina State University; North Carolina Wildlife Resources Commission; US Geological Survey; US Fish and Wildlife Service; Wildlife Management Institute","usgsCitation":"Cooney, P.B., and Kwak, T.J., 2013, Spatial extent and dynamics of dam impacts on tropical island freshwater fish assemblages: BioScience, v. 63, no. 3, p. 176-190, https://doi.org/10.1525/bio.2013.63.3.6.","productDescription":"15 p.","startPage":"176","endPage":"190","numberOfPages":"15","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-038818","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":473997,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1525/bio.2013.63.3.6","text":"Publisher Index Page"},{"id":301369,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"63","issue":"3","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"55853d5be4b023124e8f5b49","contributors":{"authors":[{"text":"Cooney, Patrick B.","contributorId":141249,"corporation":false,"usgs":false,"family":"Cooney","given":"Patrick","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":549047,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kwak, Thomas J. 0000-0002-0616-137X tkwak@usgs.gov","orcid":"https://orcid.org/0000-0002-0616-137X","contributorId":834,"corporation":false,"usgs":true,"family":"Kwak","given":"Thomas","email":"tkwak@usgs.gov","middleInitial":"J.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":549048,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70118570,"text":"70118570 - 2013 - 2D IR spectra of cyanide in water investigated by molecular dynamics simulations","interactions":[],"lastModifiedDate":"2014-07-29T12:45:03","indexId":"70118570","displayToPublicDate":"2013-01-01T12:42:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2207,"text":"Journal of Chemical Physics","active":true,"publicationSubtype":{"id":10}},"title":"2D IR spectra of cyanide in water investigated by molecular dynamics simulations","docAbstract":"Using classical molecular dynamics simulations, the 2D infrared (IR) spectroscopy of CN<sup>−</sup> solvated in D<sub>2</sub>O is investigated. Depending on the force field parametrizations, most of which are based on multipolar interactions for the CN<sup>−</sup> molecule, the frequency-frequency correlation function and observables computed from it differ. Most notably, models based on multipoles for CN<sup>−</sup> and TIP3P for water yield quantitatively correct results when compared with experiments. Furthermore, the recent finding that <i>T</i> <sub>1</sub> times are sensitive to the van der Waals ranges on the CN<sup>−</sup> is confirmed in the present study. For the linear IR spectrum, the best model reproduces the full widths at half maximum almost quantitatively (13.0 cm<sup>−1</sup> vs. 14.9 cm<sup>−1</sup>) if the rotational contribution to the linewidth is included. Without the rotational contribution, the lines are too narrow by about a factor of two, which agrees with Raman and IR experiments. The computed and experimental tilt angles (or nodal slopes) α as a function of the 2D IR waiting time compare favorably with the measured ones and the frequency fluctuation correlation function is invariably found to contain three time scales: a sub-ps, 1 ps, and one on the 10-ps time scale. These time scales are discussed in terms of the structural dynamics of the surrounding solvent and it is found that the longest time scale (≈10 ps) most likely corresponds to solvent exchange between the first and second solvation shell, in agreement with interpretations from nuclear magnetic resonance measurements.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Chemical Physics","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"American Institute of Physics","publisherLocation":"New York, NY","doi":"10.1063/1.4815969","usgsCitation":"Lee, M.W., Carr, J.K., Gollner, M., Hamm, P., and Meuwly, M., 2013, 2D IR spectra of cyanide in water investigated by molecular dynamics simulations: Journal of Chemical Physics, v. 139, no. 5, p. 1-12, https://doi.org/10.1063/1.4815969.","productDescription":"13 p.","startPage":"1","endPage":"12","numberOfPages":"13","costCenters":[],"links":[{"id":473998,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1063/1.4815969","text":"External Repository"},{"id":291309,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":291308,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1063/1.4815969"}],"volume":"139","issue":"5","noUsgsAuthors":false,"publicationDate":"2013-08-02","publicationStatus":"PW","scienceBaseUri":"57f7f37ee4b0bc0bec0a09dd","contributors":{"authors":[{"text":"Lee, Myung Won","contributorId":58950,"corporation":false,"usgs":true,"family":"Lee","given":"Myung","email":"","middleInitial":"Won","affiliations":[],"preferred":false,"id":497058,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Carr, Joshua K.","contributorId":99904,"corporation":false,"usgs":true,"family":"Carr","given":"Joshua","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":497061,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gollner, Michael","contributorId":96200,"corporation":false,"usgs":true,"family":"Gollner","given":"Michael","email":"","affiliations":[],"preferred":false,"id":497060,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hamm, Peter","contributorId":17161,"corporation":false,"usgs":true,"family":"Hamm","given":"Peter","email":"","affiliations":[],"preferred":false,"id":497057,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Meuwly, Markus","contributorId":79408,"corporation":false,"usgs":true,"family":"Meuwly","given":"Markus","email":"","affiliations":[],"preferred":false,"id":497059,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70148176,"text":"70148176 - 2013 - Effects of hydrologic connectivity on aquatic macroinvertebrate assemblages in different marsh types","interactions":[],"lastModifiedDate":"2015-05-26T11:12:23","indexId":"70148176","displayToPublicDate":"2013-01-01T12:15:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":860,"text":"Aquatic Biology","active":true,"publicationSubtype":{"id":10}},"title":"Effects of hydrologic connectivity on aquatic macroinvertebrate assemblages in different marsh types","docAbstract":"<p>Hydrologic connectivity can be an important driver of aquatic macroinvertebrate assemblages. Its effects on aquatic macroinvertebrate assemblages in coastal marshes, however, are relatively poorly studied. We evaluated the effects of lateral hydrologic connectivity (permanently connected ponds: PCPs; temporary connected ponds: TCPs), and other environmental variables on aquatic macroinvertebrate assemblages and functional feeding groups (FFGs) in freshwater, brackish, and saline marshes in Louisiana, USA. We hypothesized that (1) aquatic macroinvertebrate assemblages in PCPs would have higher assemblage metric values (density, biomass, Shannon-Wiener diversity) than TCPs and (2) the density and proportional abundance of certain FFGs (i.e. scrapers, shredders, and collectors) would be greater in freshwater marsh than brackish and saline marshes. The data in our study only partially supported our first hypothesis: while freshwater marsh PCPs had higher density and biomass than TCPs, assemblage metric values in saline TCPs were greater than saline PCPs. In freshwater TCPs, long duration of isolation limited access of macroinvertebrates from adjacent water bodies, which may have reduced assemblage metric values. However, the relatively short duration of isolation in saline TCPs provided more stable or similar habitat conditions, facilitating higher assemblage metric values. As predicted by our second hypothesis, freshwater PCPs and TCPs supported a greater density of scrapers, shredders, and collectors than brackish and saline ponds. Aquatic macroinvertebrate assemblages seem to be structured by individual taxa responses to salinity as well as pond habitat attributes.</p>","language":"English","publisher":"Inter-Research","publisherLocation":"Oldendorf","doi":"10.3354/ab00499","collaboration":"Louisiana Department of Wildlife and Fisheries; US Fish and Wildlife Service; International Crane Foundation","usgsCitation":"Kang, S., and King, S.L., 2013, Effects of hydrologic connectivity on aquatic macroinvertebrate assemblages in different marsh types: Aquatic Biology, v. 18, no. 2, p. 149-160, https://doi.org/10.3354/ab00499.","productDescription":"12 p.","startPage":"149","endPage":"160","numberOfPages":"12","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-043694","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":474001,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3354/ab00499","text":"Publisher Index Page"},{"id":300784,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"18","issue":"2","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"55659941e4b0d9246a9eb61d","contributors":{"authors":[{"text":"Kang, Sung-Ryong","contributorId":140927,"corporation":false,"usgs":false,"family":"Kang","given":"Sung-Ryong","email":"","affiliations":[],"preferred":false,"id":547608,"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":547534,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70150443,"text":"70150443 - 2013 - Impacts of golden alga <i>Prymnesium parvum</i> on fish populations in reservoirs of the upper Colorado River and Brazos River basins, Texas","interactions":[],"lastModifiedDate":"2015-06-26T10:50:05","indexId":"70150443","displayToPublicDate":"2013-01-01T12:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3624,"text":"Transactions of the American Fisheries Society","active":true,"publicationSubtype":{"id":10}},"title":"Impacts of golden alga <i>Prymnesium parvum</i> on fish populations in reservoirs of the upper Colorado River and Brazos River basins, Texas","docAbstract":"<p>Several reservoirs in the upper Colorado River and Brazos River basins in Texas have experienced toxic blooms of golden alga Prymnesium parvum and associated fish kills since 2001. There is a paucity of information, however, regarding the population-level effects of such kills in large reservoirs, species-specific resistance to or recovery from kills, or potential differences in the patterns of impacts among basins. We used multiple before-after, control-impact analysis to determine whether repeated golden alga blooms have led to declines in the relative abundance and size structure of fish populations. Sustained declines were noted for 9 of 12 fish species surveyed in the upper Colorado River, whereas only one of eight species was impacted by golden alga in the Brazos River. In the upper Colorado River, White Bass Morone chrysops, White Crappie Pomoxis annularis, Largemouth Bass Micropterus salmoides, Bluegill Lepomis macrochirus, River Carpsucker Carpiodes carpio, Freshwater Drum Aplodinotus grunniens, Channel Catfish Ictalurus punctatus, Flathead Catfish Pylodictis olivaris, and Blue Catfish I. furcatus exhibited sustained declines in relative abundance, size structure, or both; Gizzard Shad Dorosoma cepedianum, Longnose Gar Lepisosteus osseus, and Common Carp Cyprinus carpio did not exhibit those declines. In the Brazos River, only the relative abundance of Blue Catfish was impacted. Overall, toxic golden alga blooms can negatively impact fish populations over the long-term, but the patterns of impact can vary considerably among river basins and species. In the Brazos River, populations of most fish species appear to be healthy, suggesting a positive angling outlook for this basin. In the upper Colorado River, fish populations have been severely impacted, and angling opportunities have been reduced. Basin-specific management plans aimed at improving water quality and quantity will likely reduce bloom intensity and allow recovery of fish populations to the abundances and size structures present before golden alga. Received August 26, 2011; accepted November 25, 2012</p>","language":"English","publisher":"American Fisheries Society","publisherLocation":"Bethesda, MD","doi":"10.1080/00028487.2012.754786","usgsCitation":"VanLandeghem, M., Farooqi, M., Farquhar, B., and Patino, R., 2013, Impacts of golden alga <i>Prymnesium parvum</i> on fish populations in reservoirs of the upper Colorado River and Brazos River basins, Texas: Transactions of the American Fisheries Society, v. 142, no. 3, p. 581-595, https://doi.org/10.1080/00028487.2012.754786.","productDescription":"15 p.","startPage":"581","endPage":"595","numberOfPages":"15","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-042444","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":302382,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"142","issue":"3","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationDate":"2013-03-15","publicationStatus":"PW","scienceBaseUri":"558e77b7e4b0b6d21dd6595b","contributors":{"authors":[{"text":"VanLandeghem, Matthew M.","contributorId":143728,"corporation":false,"usgs":false,"family":"VanLandeghem","given":"Matthew M.","affiliations":[],"preferred":false,"id":556994,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Farooqi, Mukhtar","contributorId":143729,"corporation":false,"usgs":false,"family":"Farooqi","given":"Mukhtar","email":"","affiliations":[],"preferred":false,"id":556995,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Farquhar, B.","contributorId":42107,"corporation":false,"usgs":true,"family":"Farquhar","given":"B.","email":"","affiliations":[],"preferred":false,"id":556996,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Patino, Reynaldo 0000-0002-4831-8400 r.patino@usgs.gov","orcid":"https://orcid.org/0000-0002-4831-8400","contributorId":2311,"corporation":false,"usgs":true,"family":"Patino","given":"Reynaldo","email":"r.patino@usgs.gov","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":556890,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70048304,"text":"70048304 - 2013 - Reactive transport modeling at uranium in situ recovery sites: uncertainties in uranium sorption on iron hydroxides","interactions":[],"lastModifiedDate":"2014-04-08T12:37:25","indexId":"70048304","displayToPublicDate":"2013-01-01T11:59:18","publicationYear":"2013","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Reactive transport modeling at uranium in situ recovery sites: uncertainties in uranium sorption on iron hydroxides","docAbstract":"Geochemical changes that can occur down gradient from uranium <i>in situ</i> recovery (ISR) sites are important for various stakeholders to understand when evaluating potential effects on surrounding groundwater quality. If down gradient solid-phase material consists of sandstone with iron hydroxide coatings (no pyrite or organic carbon), sorption of uranium on iron hydroxides can control uranium mobility. Using one-dimensional reactive transport models with PHREEQC, two different geochemical databases, and various geochemical parameters, the uncertainties in uranium sorption on iron hydroxides are evaluated, because these oxidized zones create a greater risk for future uranium transport than fully reduced zones where uranium generally precipitates.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Annual International Mine Water Association Conference: Reliable Mine Water Technology","largerWorkSubtype":{"id":12,"text":"Conference publication"},"language":"English","publisher":"International Mine Water Association","usgsCitation":"Johnson, R.H., and Tutu, H., 2013, Reactive transport modeling at uranium in situ recovery sites: uncertainties in uranium sorption on iron hydroxides, <i>in</i> Annual International Mine Water Association Conference: Reliable Mine Water Technology, v. I, p. 377-382.","productDescription":"6 p.","startPage":"377","endPage":"382","numberOfPages":"6","ipdsId":"IP-046046","costCenters":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":285891,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":285890,"type":{"id":15,"text":"Index Page"},"url":"https://www.imwa.info/imwa-meetings/proceedings/278-proceedings-2013.html"}],"volume":"I","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5355952fe4b0120853e8c17e","contributors":{"editors":[{"text":"Brown, Adrian","contributorId":114141,"corporation":false,"usgs":true,"family":"Brown","given":"Adrian","affiliations":[],"preferred":false,"id":509607,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Figueroa, Linda","contributorId":112780,"corporation":false,"usgs":true,"family":"Figueroa","given":"Linda","email":"","affiliations":[],"preferred":false,"id":509606,"contributorType":{"id":2,"text":"Editors"},"rank":2},{"text":"Wolkersdorfer, Christian","contributorId":111680,"corporation":false,"usgs":true,"family":"Wolkersdorfer","given":"Christian","email":"","affiliations":[],"preferred":false,"id":509605,"contributorType":{"id":2,"text":"Editors"},"rank":3}],"authors":[{"text":"Johnson, Raymond H. rhjohnso@usgs.gov","contributorId":707,"corporation":false,"usgs":true,"family":"Johnson","given":"Raymond","email":"rhjohnso@usgs.gov","middleInitial":"H.","affiliations":[],"preferred":true,"id":484268,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Tutu, Hlanganani","contributorId":68218,"corporation":false,"usgs":true,"family":"Tutu","given":"Hlanganani","email":"","affiliations":[],"preferred":false,"id":484269,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70170999,"text":"70170999 - 2013 - In-stream attenuation of neuro-active pharmaceuticals and their metabolites","interactions":[],"lastModifiedDate":"2016-05-17T10:32:28","indexId":"70170999","displayToPublicDate":"2013-01-01T11:30:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1565,"text":"Environmental Science & Technology","onlineIssn":"1520-5851","printIssn":"0013-936X","active":true,"publicationSubtype":{"id":10}},"title":"In-stream attenuation of neuro-active pharmaceuticals and their metabolites","docAbstract":"<p><span>In-stream attenuation was determined for 14 neuro-active pharmaceuticals and associated metabolites. Lagrangian sampling, which follows a parcel of water as it moves downstream, was used to link hydrological and chemical transformation processes. Wastewater loading of neuro-active compounds varied considerably over a span of several hours, and thus a sampling regime was used to verify that the Lagrangian parcel was being sampled and a mechanism was developed to correct measured concentrations if it was not. In-stream attenuation over the 5.4-km evaluated reach could be modeled as pseudo-first-order decay for 11 of the 14 evaluated neuro-active pharmaceutical compounds, illustrating the capacity of streams to reduce conveyance of neuro-active compounds downstream. Fluoxetine and&nbsp;</span><i>N</i><span>-desmethyl citalopram were the most rapidly attenuated compounds (</span><i>t</i><span>1/2</span><span>&nbsp;= 3.6 &plusmn; 0.3 h, 4.0 &plusmn; 0.2 h, respectively). Lamotrigine, 10,11,-dihydro-10,11,-dihydroxy-carbamazepine, and carbamazepine were the most persistent (</span><i>t</i><span>1/2</span><span>&nbsp;= 12 &plusmn; 2.0 h, 12 &plusmn; 2.6 h, 21 &plusmn; 4.5 h, respectively). Parent compounds (e.g., buproprion, carbamazepine, lamotrigine) generally were more persistent relative to their metabolites. Several compounds (citalopram, venlafaxine,&nbsp;</span><i>O</i><span>-desmethyl-venlafaxine) were not attenuated. It was postulated that the primary mechanism of removal for these compounds was interaction with bed sediments and stream biofilms, based on measured concentrations in stream biofilms and a column experiment using stream sediments.</span></p>","language":"English","publisher":"American Chemical Society","publisherLocation":"Easton, PA","doi":"10.1021/es402158t","usgsCitation":"Writer, J., Antweiler, R.C., Ferrar, I., Ryan, J.N., and Thurman, M., 2013, In-stream attenuation of neuro-active pharmaceuticals and their metabolites: Environmental Science & Technology, v. 47, no. 17, p. 9781-9790, https://doi.org/10.1021/es402158t.","productDescription":"10 p.","startPage":"9781","endPage":"9790","numberOfPages":"10","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-046093","costCenters":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"links":[{"id":321290,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"47","issue":"17","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2013-08-16","publicationStatus":"PW","scienceBaseUri":"574d659ee4b07e28b668457f","contributors":{"authors":[{"text":"Writer, Jeffrey 0000-0002-8585-8166 jwriter@usgs.gov","orcid":"https://orcid.org/0000-0002-8585-8166","contributorId":169360,"corporation":false,"usgs":true,"family":"Writer","given":"Jeffrey","email":"jwriter@usgs.gov","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":629433,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Antweiler, Ronald C. 0000-0001-5652-6034 antweil@usgs.gov","orcid":"https://orcid.org/0000-0001-5652-6034","contributorId":1481,"corporation":false,"usgs":true,"family":"Antweiler","given":"Ronald","email":"antweil@usgs.gov","middleInitial":"C.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":629434,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ferrar, Imma","contributorId":169361,"corporation":false,"usgs":false,"family":"Ferrar","given":"Imma","email":"","affiliations":[{"id":25479,"text":"CU Boulder","active":true,"usgs":false}],"preferred":false,"id":629435,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ryan, Joseph N.","contributorId":54290,"corporation":false,"usgs":false,"family":"Ryan","given":"Joseph","email":"","middleInitial":"N.","affiliations":[{"id":604,"text":"University of Colorado- Boulder","active":false,"usgs":true}],"preferred":false,"id":629436,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Thurman, Michael","contributorId":72872,"corporation":false,"usgs":true,"family":"Thurman","given":"Michael","affiliations":[],"preferred":false,"id":629437,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70048086,"text":"70048086 - 2013 - Updating Maryland's sea-level rise projections","interactions":[],"lastModifiedDate":"2014-05-28T11:34:39","indexId":"70048086","displayToPublicDate":"2013-01-01T11:27:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":3,"text":"Organization Series"},"title":"Updating Maryland's sea-level rise projections","docAbstract":"<p>With its 3,100 miles of tidal shoreline and low-lying rural and urban lands, “The Free \nState” is one of the most vulnerable to sea-level rise. Historically, Marylanders have long \nhad to contend with rising water levels along its Chesapeake Bay and Atlantic Ocean and \ncoastal bay shores. Shorelines eroded and low-relief lands and islands, some previously \ninhabited, were inundated. Prior to the 20th century, this was largely due to the slow \nsinking of the land since Earth’s crust is still adjusting to the melting of large masses of \nice following the last glacial period. Over the 20th century, however, the rate of rise of the \naverage level of tidal waters with respect to land, or relative sea-level rise, has increased, \nat least partially as a result of global warming. Moreover, the scientific evidence is \ncompelling that Earth’s climate will continue to warm and its oceans will rise even more \nrapidly.</p>\n<br>\n<p>Recognizing the scientific consensus around global climate change, the contribution \nof human activities to it, and the vulnerability of Maryland’s people, property, public \ninvestments, and natural resources, Governor Martin O’Malley established the Maryland \nCommission on Climate Change on April 20, 2007. The Commission produced a Plan of \nAction that included a comprehensive climate change impact assessment, a greenhouse \ngas reduction strategy, and strategies for reducing Maryland’s vulnerability to climate \nchange. The Plan has led to landmark legislation to reduce the state’s greenhouse gas \nemissions and a variety of state policies designed to reduce energy consumption and \npromote adaptation to climate change.</p>","language":"English","publisher":"University of Maryland Center for Environmental Science","publisherLocation":"Cambridge, MD","collaboration":"Scientific and Technical Working Group Maryland Climate Change Commission","usgsCitation":"Boesch, D.F., Atkinson, L.P., Boicourt, W.C., Boon, J.D., Cahoon, D.R., Dalrymple, R., Ezer, T., Horton, B.P., Johnson, Z.P., Kopp, R., Li, M., Moss, R.H., Parris, A., and Sommerfield, C.K., 2013, Updating Maryland's sea-level rise projections, 19 p.","productDescription":"19 p.","numberOfPages":"22","ipdsId":"IP-045816","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":287666,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":277435,"type":{"id":11,"text":"Document"},"url":"https://ian.umces.edu/pdfs/ian_report_413.pdf"}],"country":"United States","state":"Maryl","otherGeospatial":"Chesapeake Bay","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -77.5949,36.9078 ], [ -77.5949,39.6181 ], [ -75.6353,39.6181 ], [ -75.6353,36.9078 ], [ -77.5949,36.9078 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53870576e4b0aa26cd7b5413","contributors":{"authors":[{"text":"Boesch, Donald F.","contributorId":23599,"corporation":false,"usgs":true,"family":"Boesch","given":"Donald","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":483709,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Atkinson, Larry P.","contributorId":15527,"corporation":false,"usgs":true,"family":"Atkinson","given":"Larry","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":483707,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Boicourt, William C.","contributorId":65388,"corporation":false,"usgs":true,"family":"Boicourt","given":"William","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":483715,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Boon, John D.","contributorId":108029,"corporation":false,"usgs":true,"family":"Boon","given":"John","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":483718,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Cahoon, Donald R. 0000-0002-2591-5667 dcahoon@usgs.gov","orcid":"https://orcid.org/0000-0002-2591-5667","contributorId":3791,"corporation":false,"usgs":true,"family":"Cahoon","given":"Donald","email":"dcahoon@usgs.gov","middleInitial":"R.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":483705,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Dalrymple, Robert A.","contributorId":26627,"corporation":false,"usgs":true,"family":"Dalrymple","given":"Robert A.","affiliations":[],"preferred":false,"id":483710,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Ezer, Tal","contributorId":21462,"corporation":false,"usgs":true,"family":"Ezer","given":"Tal","email":"","affiliations":[],"preferred":false,"id":483708,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Horton, Benjamin P.","contributorId":63641,"corporation":false,"usgs":true,"family":"Horton","given":"Benjamin","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":483713,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Johnson, Zoe P.","contributorId":81022,"corporation":false,"usgs":true,"family":"Johnson","given":"Zoe","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":483716,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Kopp, Robert E.","contributorId":64570,"corporation":false,"usgs":true,"family":"Kopp","given":"Robert E.","affiliations":[],"preferred":false,"id":483714,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Li, Ming","contributorId":55714,"corporation":false,"usgs":true,"family":"Li","given":"Ming","email":"","affiliations":[],"preferred":false,"id":483712,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Moss, Richard H.","contributorId":48103,"corporation":false,"usgs":true,"family":"Moss","given":"Richard","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":483711,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Parris, Adam","contributorId":87861,"corporation":false,"usgs":true,"family":"Parris","given":"Adam","email":"","affiliations":[],"preferred":false,"id":483717,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Sommerfield, Christopher K.","contributorId":9820,"corporation":false,"usgs":true,"family":"Sommerfield","given":"Christopher","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":483706,"contributorType":{"id":1,"text":"Authors"},"rank":14}]}}
,{"id":70123975,"text":"70123975 - 2013 - Invasive species in southern Nevada","interactions":[],"lastModifiedDate":"2022-12-30T14:58:14.262778","indexId":"70123975","displayToPublicDate":"2013-01-01T11:21:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":1,"text":"Federal Government Series"},"seriesTitle":{"id":32,"text":"General Technical Report","active":false,"publicationSubtype":{"id":1}},"seriesNumber":"RMRS-GTR-303","chapter":"4","title":"Invasive species in southern Nevada","docAbstract":"<p>Southern Nevada contains a wide range of topographies, elevations, and climactic zones emblematic of its position at the ecotone between the Mojave Desert, Great Basin, and Colorado Plateau ecoregions. These varied environmental conditions support a high degree of biological diversity (Chapter 1), but they also provide opportunities for a wide range of invasive species. In addition, the population center of the Las Vegas valley, and the agricultural area scattered throughout Clark, Lincoln, and Nye counties, all connected by a network of roads and highways, plus ephemeral and perennial watercourses, provide abundant opportunities for new invaders to be transported into and within southern Nevada (Brooks 2009; Brookes and Lair 2009).</p>\n<br>\n<p>Invasive species are a concern for land managers because they can compete directly with native species (Brooks 2000; Chambers and others 2007; DeFlaco and others 2003, 2007; Mazzola and others 2010), change habitat conditions (Brooks and Esque 2002; Esque and others 2010; Miller and others 2011), and alter ecosystems properties (Brooks and Matchett 2006; Brooks and Pyke 2001; Evans and others 2001). Many invasive species have already established and spread to the point that they are now considered to pose significant problems in southern Nevada. However, there are likely many more than have wither not been transported to or colonized the region, or have established by for various reasons not spread or increased in abundance to the point where they have a significant impact. Land managers must understand both current and potential future problems posed by invasive species to appropriately prioritize management actions.</p>\n<br>\n<p>This chapter addressed Sub-goal 1.2 in the SNAP Science Research Strategy (table 1.3; Turner and others 2009), which is to protect southern Nevada's ecosystems from the adverse impacts of invasive species. It provides a brief overview of the key concepts associated with the ecology and management of invasive species, and includes information relevant to all five strategic goals identified by the National Invasive Species Council: prevention, early detection and rapid response, control and management, restoration, and organization collaboration (National Invasive Species Council 2001, 2008). Restoration also is discussed in a broader context in Chapter 5 and 7. This chapter does not present a comprehensive review of all invasive species associated land management issues in southern Nevada, but rather uses key species of concern to illustrate invasion ecology concepts and management strategies. It is focused on terrestrial and aquatic plants and animals, and does not address potential invasive taxa from the other Kingdoms. The information presented herein is intended to provide a foundation upon which land management plans can be developed and project-level decisions can be made relative to the management of invasive species in southern Nevada.</p>","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"The Southern Nevada Agency Partnership science and research synthesis: science to support land management in southern Nevada (General Technical Report RMRS-GTR-303)","largerWorkSubtype":{"id":1,"text":"Federal Government Series"},"language":"English","publisher":"U.S. Forest Service","publisherLocation":"Fort Collins, CO","usgsCitation":"Brooks, M.L., Ostoja, S.M., and Chambers, J., 2013, Invasive species in southern Nevada: General Technical Report RMRS-GTR-303, 15 p.","productDescription":"15 p.","startPage":"59","endPage":"73","numberOfPages":"15","ipdsId":"IP-035135","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":294505,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.fs.usda.gov/research/treesearch/43873","linkFileType":{"id":5,"text":"html"}},{"id":294506,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Nevada","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -114.62994356826636,\n              35.02392827573823\n            ],\n            [\n              -114.71108092890972,\n              36.05434128183754\n            ],\n            [\n              -114.1610398819929,\n              35.96903144947467\n            ],\n            [\n              -113.99956682074821,\n              39.38359318014548\n            ],\n            [\n              -120.06431672841825,\n              39.64524306073176\n            ],\n            [\n              -120.09127846963423,\n              38.90168971729281\n            ],\n            [\n              -114.62994356826636,\n              35.02392827573823\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"54252ebde4b0e641df8a7060","contributors":{"authors":[{"text":"Brooks, Matthew L. 0000-0002-3518-6787 mlbrooks@usgs.gov","orcid":"https://orcid.org/0000-0002-3518-6787","contributorId":393,"corporation":false,"usgs":true,"family":"Brooks","given":"Matthew","email":"mlbrooks@usgs.gov","middleInitial":"L.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":500495,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ostoja, Steven M. sostoja@usgs.gov","contributorId":3039,"corporation":false,"usgs":true,"family":"Ostoja","given":"Steven","email":"sostoja@usgs.gov","middleInitial":"M.","affiliations":[{"id":33665,"text":"USDA California Climate Hub, UC Davis","active":true,"usgs":false},{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":false,"id":500496,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Chambers, Jeanne","contributorId":32841,"corporation":false,"usgs":true,"family":"Chambers","given":"Jeanne","affiliations":[],"preferred":false,"id":500497,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70146643,"text":"70146643 - 2013 - 234U/238U and δ87Sr in peat as tracers of paleosalinity in the Sacramento-San Joaquin Delta of California, USA","interactions":[],"lastModifiedDate":"2015-04-22T15:29:15","indexId":"70146643","displayToPublicDate":"2013-01-01T11:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":835,"text":"Applied Geochemistry","active":true,"publicationSubtype":{"id":10}},"title":"234U/238U and δ87Sr in peat as tracers of paleosalinity in the Sacramento-San Joaquin Delta of California, USA","docAbstract":"<p>The purpose of this study was to determine the history of paleosalinity over the past 6000+ years in the Sacramento-San Joaquin Delta (the Delta), which is the innermost part of the San Francisco Estuary. We used a combination of Sr and U concentrations, d87Sr values, and 234U/238U activity ratios (AR) in peat as proxies for tracking paleosalinity. Peat cores were collected in marshes on Browns Island, Franks Wetland, and Bacon Channel Island in the Delta. Cores were dated using 137Cs, the onset of Pb and Hg contamination from hydraulic gold mining, and 14C. A proof of concept study showed that the dominant emergent macrophyte and major component of peat in the Delta, Schoenoplectus spp., incorporates Sr and U and that the isotopic composition of these elements tracks the ambient water salinity across the Estuary. Concentrations and isotopic compositions of Sr and U in the three main water sources contributing to the Delta (seawater, Sacramento River water, and San Joaquin River water) were used to construct a three-end-member mixing model. Delta paleosalinity was determined by examining variations in the distribution of peat samples through time within the area delineated by the mixing model. The Delta has long been considered a tidal freshwater marsh region, but only peat samples from Franks Wetland and Bacon Channel Island have shown a consistently fresh signal (&lt;0.5 ppt) through time. Therefore, the eastern Delta, which occurs upstream from Bacon Channel Island along the San Joaquin River and its tributaries, has also been fresh for this time period. Over the past 6000+ years, the salinity regime at the western boundary of the Delta (Browns Island) has alternated between fresh and oligohaline (0.5-5 ppt).</p>","language":"English","publisher":"International Association of Geochemistry and Cosmochemistry","publisherLocation":"New York, NY","doi":"10.1016/j.apgeochem.2013.10.011","usgsCitation":"Drexler, J., Paces, J.B., Alpers, C.N., Windham-Myers, L., Neymark, L., Bullen, T.D., and Taylor, H.E., 2013, 234U/238U and δ87Sr in peat as tracers of paleosalinity in the Sacramento-San Joaquin Delta of California, USA: Applied Geochemistry, v. 40, p. 164-179, https://doi.org/10.1016/j.apgeochem.2013.10.011.","productDescription":"16 p.","startPage":"164","endPage":"179","numberOfPages":"16","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-033405","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":299774,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":299758,"type":{"id":15,"text":"Index Page"},"url":"https://dx.doi.org/10.1016/j.apgeochem.2013.10.011"}],"country":"United States","state":"California","otherGeospatial":"Sacramento-San Joaquin Delta","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -121.8632698059082,\n              38.014017213644024\n            ],\n            [\n              -121.8632698059082,\n              38.07998712800633\n            ],\n            [\n              -121.77331924438477,\n              38.07998712800633\n            ],\n            [\n              -121.77331924438477,\n              38.014017213644024\n            ],\n            [\n              -121.8632698059082,\n              38.014017213644024\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"40","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5536232de4b0b22a15807a77","contributors":{"authors":[{"text":"Drexler, Judith Z. 0000-0002-0127-3866 jdrexler@usgs.gov","orcid":"https://orcid.org/0000-0002-0127-3866","contributorId":1659,"corporation":false,"usgs":true,"family":"Drexler","given":"Judith Z.","email":"jdrexler@usgs.gov","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":false,"id":545214,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Paces, James B. 0000-0002-9809-8493 jbpaces@usgs.gov","orcid":"https://orcid.org/0000-0002-9809-8493","contributorId":2514,"corporation":false,"usgs":true,"family":"Paces","given":"James","email":"jbpaces@usgs.gov","middleInitial":"B.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":545215,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Alpers, Charles N. 0000-0001-6945-7365 cnalpers@usgs.gov","orcid":"https://orcid.org/0000-0001-6945-7365","contributorId":411,"corporation":false,"usgs":true,"family":"Alpers","given":"Charles","email":"cnalpers@usgs.gov","middleInitial":"N.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":545216,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Windham-Myers, Lisamarie 0000-0003-0281-9581 lwindham-myers@usgs.gov","orcid":"https://orcid.org/0000-0003-0281-9581","contributorId":2449,"corporation":false,"usgs":true,"family":"Windham-Myers","given":"Lisamarie","email":"lwindham-myers@usgs.gov","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":545217,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Neymark, Leonid A. 0000-0003-4190-0278 lneymark@usgs.gov","orcid":"https://orcid.org/0000-0003-4190-0278","contributorId":140338,"corporation":false,"usgs":true,"family":"Neymark","given":"Leonid A.","email":"lneymark@usgs.gov","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true},{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":545218,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Bullen, Thomas D. 0000-0003-2281-1691 tdbullen@usgs.gov","orcid":"https://orcid.org/0000-0003-2281-1691","contributorId":1969,"corporation":false,"usgs":true,"family":"Bullen","given":"Thomas","email":"tdbullen@usgs.gov","middleInitial":"D.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":545219,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Taylor, Howard E. hetaylor@usgs.gov","contributorId":1551,"corporation":false,"usgs":true,"family":"Taylor","given":"Howard","email":"hetaylor@usgs.gov","middleInitial":"E.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":545220,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70045371,"text":"70045371 - 2013 - Descriptions and characterizations of water-level data and groundwater flow for the Brewster Boulevard and Castle Hayne Aquifer Systems and the Tarawa Terrace Aquifer","interactions":[],"lastModifiedDate":"2014-06-20T14:09:30","indexId":"70045371","displayToPublicDate":"2013-01-01T10:59:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":4,"text":"Other Government Series"},"title":"Descriptions and characterizations of water-level data and groundwater flow for the Brewster Boulevard and Castle Hayne Aquifer Systems and the Tarawa Terrace Aquifer","docAbstract":"This supplement of Chapter A (Supplement 3) summarizes results of analyses of groundwater-level data and describes corresponding elements of groundwater flow such as vertical hydraulic gradients useful for groundwater-flow model calibration. Field data as well as theoretical concepts indicate that potentiometric surfaces within the study area are shown to resemble to a large degree a subdued replica of surface topography. Consequently, precipitation that infiltrates to the water table flows laterally from highland to lowland areas and eventually discharges to streams such as Northeast and Wallace Creeks and New River. Vertically downward hydraulic gradients occur in highland areas resulting in the transfer of groundwater from shallow relatively unconfined aquifers to underlying confined or semi-confined aquifers. Conversely, in the vicinity of large streams such as Wallace and Frenchs Creeks, diffuse upward leakage occurs from underlying confined or semi-confined aquifers. Point water-level data indicating water-table altitudes, water-table altitudes estimated using a regression equation, and estimates of stream levels determined from a digital elevation model (DEM) and topographic maps were used to estimate a predevelopment water-table surface in the study area. Approximate flow lines along hydraulic gradients are shown on a predevelopment potentiometric surface map and extend from highland areas where potentiometric levels are greatest toward streams such as Wallace Creek and Northeast Creek. The distribution of potentiometric levels and corresponding groundwater-flow directions conform closely to related descriptions of the conceptual model.","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"Analyses and historical reconstruction of groundwater flow, contaminant fate and transport, and distribution of drinking water within the service areas of the Hadnot Point and Holcomb Boulevard Water Treatment Plants and Vicinities, U.S. Marine Corps Base Camp Lejeune, North Carolina","largerWorkSubtype":{"id":1,"text":"Federal Government Series"},"language":"English","publisher":"Agency for Toxic Substances and Disease Registry","publisherLocation":"Atlanta, GA","usgsCitation":"Faye, R.E., Jones, L.E., and Suárez-Soto, R., 2013, Descriptions and characterizations of water-level data and groundwater flow for the Brewster Boulevard and Castle Hayne Aquifer Systems and the Tarawa Terrace Aquifer, v, 102 p.","productDescription":"v, 102 p.","numberOfPages":"112","ipdsId":"IP-044303","costCenters":[{"id":316,"text":"Georgia Water Science Center","active":true,"usgs":true}],"links":[{"id":275567,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"North Carolina","otherGeospatial":"U.S. Marine Corps Base Camp Lejeune","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -77.642065,34.449951 ], [ -77.642065,34.824047 ], [ -77.065869,34.824047 ], [ -77.065869,34.449951 ], [ -77.642065,34.449951 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51f8e061e4b0cecbe8fa9864","contributors":{"authors":[{"text":"Faye, Robert E.","contributorId":92221,"corporation":false,"usgs":true,"family":"Faye","given":"Robert","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":477309,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jones, L. Elliott 0000-0002-7394-2053 lejones@usgs.gov","orcid":"https://orcid.org/0000-0002-7394-2053","contributorId":44569,"corporation":false,"usgs":true,"family":"Jones","given":"L.","email":"lejones@usgs.gov","middleInitial":"Elliott","affiliations":[],"preferred":false,"id":477308,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Suárez-Soto, René J.","contributorId":11101,"corporation":false,"usgs":true,"family":"Suárez-Soto","given":"René J.","affiliations":[],"preferred":false,"id":477307,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70123880,"text":"70123880 - 2013 - Ecosystem stressors in southern Nevada","interactions":[],"lastModifiedDate":"2022-12-30T14:37:20.491303","indexId":"70123880","displayToPublicDate":"2013-01-01T10:47:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":1,"text":"Federal Government Series"},"seriesTitle":{"id":32,"text":"General Technical Report","active":false,"publicationSubtype":{"id":1}},"seriesNumber":"RMRS-GTR-303","chapter":"2","title":"Ecosystem stressors in southern Nevada","docAbstract":"<p>Southern Nevada ecosystems and their associated resources are subject to a number of global and regional/local stressors that are affecting the sustainability of the region. Global stressors include elevated carbon dioxide (CO<sub>2</sub>) concentrations and associated changes in temperature and precipitation patterns and amount, solar radiation, and nutrient cycles (Smith and others 2009b). Global stressors are ubiquitous in nature and interact both directly and indirectly with regional or local stressors. Regional/local stressors in southern Nevada include: population growth and urbanization and associated increases in nitrogen deposition, energy development, water development, and recreation; increased effects of insects and disease; ongoing effects of livestock, wild horse and burro grazing; new and expanding invasive species; and altered fire regimes. This chapter provides background information on the stressors affecting southern Nevada's ecosystems that is needed to address Goal 1.0 in the SNAP Science Research Strategy, which is to restore, sustain, and enhance southern Nevada's ecosystems (Turner and others 2009).</p>\n<br>\n<p>Human population growth and changes in land use strongly affect the type and magnitude of local/regional stressors. From 1960 to 2010, Nevada's growth rate was the highest in the nation (www.census.gov/prod/cen2010/briefs/c2010br-01.pdf). Clark County has experienced particularly high growth, with a population increase of greater than 40 percent since the 2000 census. Factors like land ownership, historic and current land use, proximity to human and energy developments, and desirability for recreation all influence the level of human-caused stress.</p>\n<br>\n<p>The strong elevation/climate gradients and large difference in the environmental characteristics of southern Nevada ecosystems (fig. 1.2; Chapter 1) have a major influence on both patterns of land use and the dominant stressors for different ecosystem types. Shifts in land use related to population growth, urbanization, and energy development and largely focused in lower elevation ecosystems including sagebursh, blackbrush and shadscale, and Mojave Desert scrub. Water divisions influence riparian/aquatic ecosystems and springs, while groundwater pumping also has the potential to affect ecosystems that characterize lower valleys including Mojave Desert scrub. Recreational uses influence all ecosystems, and wild horse and burro use and livestock grazing affect all but alpine and subalpine ecosystems. Insects and disease, as well as invasive species are widespread stressors. Fire is limited to ecosystems with sufficient fuels to carry fire and is strongly influence by invasive species in lower elevation Mojave Desert scrub, blackbrush and shadscale, and sagebursh ecosystems.</p>\n<br>\n<p>This chapter address aspects of several of the Goals and Sub-goals listed in the SNAP Science Research Strategy (table 1.3; Turner and others 2009). Altered fire regimes, invasive species, land use practices, and management actions are addressed in Goal 1 -- Sustain, Restore, and Enhance Southern Nevada's Ecosystems. The effects of these stressors on sensitive species and habitat are specifically addressed in Sub-goal 1.4 -- Sustain and Enhance Southern Nevada's Biotic Communities, to Preserve Biodiversity and Maintain Populations. Anthropogenic factors, such a recreation and urbanization, are referred to in Goal 2-- Provide for Responsible Use of Southern Nevada;s Lands in a Manner that Preserve Heritage Resources and Promotes an Understanding of Human Interaction with the Landscape.</p>","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"The Southern Nevada Agency Partnership science and research synthesis: science to support land management in southern Nevada (General Technical Report RMRS-GTR-303)","largerWorkSubtype":{"id":1,"text":"Federal Government Series"},"language":"English","publisher":"U.S. Forest Service","publisherLocation":"Fort Collins, CO","usgsCitation":"Pendleton, B.K., Chambers, J., Brooks, M.L., and Ostoja, S.M., 2013, Ecosystem stressors in southern Nevada: General Technical Report RMRS-GTR-303, 20 p.","productDescription":"20 p.","startPage":"17","endPage":"36","numberOfPages":"20","ipdsId":"IP-037931","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":294496,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":294495,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.fs.usda.gov/research/treesearch/44301"}],"country":"United States","state":"Nevada","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -114.62994356826636,\n              35.02392827573823\n            ],\n            [\n              -114.71108092890972,\n              36.05434128183754\n            ],\n            [\n              -114.1610398819929,\n              35.96903144947467\n            ],\n            [\n              -113.99956682074821,\n              39.38359318014548\n            ],\n            [\n              -120.06431672841825,\n              39.64524306073176\n            ],\n            [\n              -120.09127846963423,\n              38.90168971729281\n            ],\n            [\n              -114.62994356826636,\n              35.02392827573823\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"54252eade4b0e641df8a6f84","contributors":{"authors":[{"text":"Pendleton, Burton K.","contributorId":107187,"corporation":false,"usgs":true,"family":"Pendleton","given":"Burton","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":500448,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Chambers, Jeanne C.","contributorId":75889,"corporation":false,"usgs":false,"family":"Chambers","given":"Jeanne C.","affiliations":[],"preferred":false,"id":500447,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Brooks, Matthew L. 0000-0002-3518-6787 mlbrooks@usgs.gov","orcid":"https://orcid.org/0000-0002-3518-6787","contributorId":393,"corporation":false,"usgs":true,"family":"Brooks","given":"Matthew","email":"mlbrooks@usgs.gov","middleInitial":"L.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":500445,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ostoja, Steven M. sostoja@usgs.gov","contributorId":3039,"corporation":false,"usgs":true,"family":"Ostoja","given":"Steven","email":"sostoja@usgs.gov","middleInitial":"M.","affiliations":[{"id":33665,"text":"USDA California Climate Hub, UC Davis","active":true,"usgs":false},{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":false,"id":500446,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70143878,"text":"70143878 - 2013 - Increases in dissolved organic carbon accelerate loss of toxic Al in Adirondack lakes recovering from acidification","interactions":[],"lastModifiedDate":"2015-03-24T09:45:54","indexId":"70143878","displayToPublicDate":"2013-01-01T10:45:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1565,"text":"Environmental Science & Technology","onlineIssn":"1520-5851","printIssn":"0013-936X","active":true,"publicationSubtype":{"id":10}},"title":"Increases in dissolved organic carbon accelerate loss of toxic Al in Adirondack lakes recovering from acidification","docAbstract":"<p>Increasing pH and decreasing Al in surface waters recovering from acidification have been accompanied by increasing concentrations of dissolved organic carbon (DOC) and associated organic acids that partially offset pH increases and complicate assessments of recovery from acidification. To better understand the processes of recovery, monthly chemistry from 42 lakes in the Adirondack region, NY, collected from 1994 to 2011, were used to (1) evaluate long-term changes in DOC and associated strongly acidic organic acids and (2) use the base-cation surplus (BCS) as a chemical index to assess the effects of increasing DOC concentrations on the Al chemistry of these lakes. Over the study period, the BCS increased (p &lt; 0.01) and concentrations of toxic inorganic monomeric Al (IMAl) decreased (p &lt; 0.01). The decreases in IMAl were greater than expected from the increases in the BCS. Higher DOC concentrations that increased organic complexation of Al resulted in a decrease in the IMAl fraction of total monomeric Al from 57% in 1994 to 23% in 2011. Increasing DOC concentrations have accelerated recovery in terms of decreasing toxic Al beyond that directly accomplished by reducing atmospheric deposition of strong mineral acids.</p>","language":"English","publisher":"American Chemical Society","publisherLocation":"Washington, D.C.","doi":"10.1021/es4004763","collaboration":"New York State Energy Research and Development Authority; USGS","usgsCitation":"Lawrence, G.B., Dukett, J.E., Houck, N., Snyder, P., and Capone, S.B., 2013, Increases in dissolved organic carbon accelerate loss of toxic Al in Adirondack lakes recovering from acidification: Environmental Science & Technology, v. 47, no. 13, p. 7095-7100, https://doi.org/10.1021/es4004763.","productDescription":"6 p.","startPage":"7095","endPage":"7100","numberOfPages":"6","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-062340","costCenters":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"links":[{"id":298893,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":298876,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.acs.org/action/doSearch?text1=increases+in+dissolved+organic+carbon&=&field1=Title&type=within&publication=40025991"}],"volume":"47","issue":"13","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"noUsgsAuthors":false,"publicationDate":"2013-06-24","publicationStatus":"PW","scienceBaseUri":"55128ab0e4b02e76d75bd614","contributors":{"authors":[{"text":"Lawrence, Gregory B. 0000-0002-8035-2350 glawrenc@usgs.gov","orcid":"https://orcid.org/0000-0002-8035-2350","contributorId":867,"corporation":false,"usgs":true,"family":"Lawrence","given":"Gregory","email":"glawrenc@usgs.gov","middleInitial":"B.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":543083,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dukett, James E","contributorId":139811,"corporation":false,"usgs":false,"family":"Dukett","given":"James","email":"","middleInitial":"E","affiliations":[{"id":13280,"text":"Adirondack Lakes Survey Corp, Ray Brook NY","active":true,"usgs":false}],"preferred":false,"id":543084,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Houck, Nathan","contributorId":139812,"corporation":false,"usgs":false,"family":"Houck","given":"Nathan","email":"","affiliations":[{"id":13280,"text":"Adirondack Lakes Survey Corp, Ray Brook NY","active":true,"usgs":false}],"preferred":false,"id":543085,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Snyder, Phillip","contributorId":139813,"corporation":false,"usgs":false,"family":"Snyder","given":"Phillip","email":"","affiliations":[{"id":13280,"text":"Adirondack Lakes Survey Corp, Ray Brook NY","active":true,"usgs":false}],"preferred":false,"id":543086,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Capone, Susan B.","contributorId":20438,"corporation":false,"usgs":true,"family":"Capone","given":"Susan","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":543087,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70112474,"text":"70112474 - 2013 - Harmonizing multiple methods for reconstructing historical potential and reference evapotranspiration","interactions":[],"lastModifiedDate":"2014-07-28T08:47:26","indexId":"70112474","displayToPublicDate":"2013-01-01T10:35:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2341,"text":"Journal of Hydrologic Engineering","active":true,"publicationSubtype":{"id":10}},"title":"Harmonizing multiple methods for reconstructing historical potential and reference evapotranspiration","docAbstract":"Potential evapotranspiration (PET) and reference evapotranspiration (RET) data are usually critical components of hydrologic analysis. Many different equations are available to estimate PET and RET. Most of these equations, such as the Priestley-Taylor and Penman- Monteith methods, rely on detailed meteorological data collected at ground-based weather stations. Few weather stations collect enough data to estimate PET or RET using one of the more complex evapotranspiration equations. Currently, satellite data integrated with ground meteorological data are used with one of these evapotranspiration equations to accurately estimate PET and RET. However, earlier than the last few decades, historical reconstructions of PET and RET needed for many hydrologic analyses are limited by the paucity of satellite data and of some types of ground data. Air temperature stands out as the most generally available meteorological ground data type over the last century. Temperature-based approaches used with readily available historical temperature data offer the potential for long period-of-record PET and RET historical reconstructions. A challenge is the inconsistency between the more accurate, but more data intensive, methods appropriate for more recent periods and the less accurate, but less data intensive, methods appropriate to the more distant past. In this study, multiple methods are harmonized in a seamless reconstruction of historical PET and RET by quantifying and eliminating the biases of the simple Hargreaves-Samani method relative to the more complex and accurate Priestley-Taylor and Penman-Monteith methods. This harmonization process is used to generate long-term, internally consistent, spatiotemporal databases of PET and RET.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Hydrologic Engineering","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"American Society of Civil Engineers","publisherLocation":"New York, NY","doi":"10.1061/(ASCE)HE.1943-5584.0000935","usgsCitation":"Belaineh, G., Sumner, D., Carter, E., and Clapp, D., 2013, Harmonizing multiple methods for reconstructing historical potential and reference evapotranspiration: Journal of Hydrologic Engineering, v. 19, no. 8, 8 p., https://doi.org/10.1061/(ASCE)HE.1943-5584.0000935.","productDescription":"8 p.","numberOfPages":"8","ipdsId":"IP-039256","costCenters":[{"id":285,"text":"Florida Water Science Center","active":false,"usgs":true}],"links":[{"id":288621,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":288619,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1061/(ASCE)HE.1943-5584.0000935"}],"country":"United States","state":"Florida","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -84.0,27.0 ], [ -84.0,31.0 ], [ -80.0,31.0 ], [ -80.0,27.0 ], [ -84.0,27.0 ] ] ] } } ] }","volume":"19","issue":"8","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53ae7736e4b0abf75cf2c0a7","contributors":{"authors":[{"text":"Belaineh, Getachew","contributorId":37262,"corporation":false,"usgs":true,"family":"Belaineh","given":"Getachew","email":"","affiliations":[],"preferred":false,"id":494756,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sumner, David","contributorId":63731,"corporation":false,"usgs":true,"family":"Sumner","given":"David","affiliations":[],"preferred":false,"id":494758,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Carter, Edward","contributorId":49714,"corporation":false,"usgs":true,"family":"Carter","given":"Edward","email":"","affiliations":[],"preferred":false,"id":494757,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Clapp, David","contributorId":10338,"corporation":false,"usgs":true,"family":"Clapp","given":"David","email":"","affiliations":[],"preferred":false,"id":494755,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70134480,"text":"70134480 - 2013 - Effects of acidic deposition and soil acidification on sugar maple trees in the Adirondack Mountains, New York","interactions":[],"lastModifiedDate":"2017-04-25T10:54:35","indexId":"70134480","displayToPublicDate":"2013-01-01T10:30:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1565,"text":"Environmental Science & Technology","onlineIssn":"1520-5851","printIssn":"0013-936X","active":true,"publicationSubtype":{"id":10}},"title":"Effects of acidic deposition and soil acidification on sugar maple trees in the Adirondack Mountains, New York","docAbstract":"<p>We documented the effects of acidic atmospheric deposition and soil acidification on the canopy health, basal area increment, and regeneration of sugar maple (SM) trees across the Adirondack region of New York State, in the northeastern United States, where SM are plentiful but not well studied and where widespread depletion of soil calcium (Ca) has been documented. Sugar maple is a dominant canopy species in the Adirondack Mountain ecoregion, and it has a high demand for Ca. Trees in this region growing on soils with poor acid&ndash;base chemistry (low exchangeable Ca and % base saturation [BS]) that receive relatively high levels of atmospheric sulfur and nitrogen deposition exhibited a near absence of SM seedling regeneration and lower crown vigor compared with study plots with relatively high exchangeable Ca and BS and lower levels of acidic deposition. Basal area increment averaged over the 20th century was correlated (p &lt; 0.1) with acid&ndash;base chemistry of the Oa, A, and upper B soil horizons. A lack of Adirondack SM regeneration, reduced canopy condition, and possibly decreased basal area growth over recent decades are associated with low concentrations of nutrient base cations in this region that has undergone soil Ca depletion from acidic deposition.</p>","language":"English","publisher":"ACS Publications","publisherLocation":"Easton, PA","doi":"10.1021/es401864w","usgsCitation":"Sullivan, T.J., Lawrence, G.B., Bailey, S.W., McDonnell, T.C., Beier, C.M., Weathers, K., McPherson, G., and Bishop, D.A., 2013, Effects of acidic deposition and soil acidification on sugar maple trees in the Adirondack Mountains, New York: Environmental Science & Technology, v. 47, no. 22, p. 12687-12694, https://doi.org/10.1021/es401864w.","productDescription":"8 p.","startPage":"12687","endPage":"12694","numberOfPages":"8","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-045933","costCenters":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"links":[{"id":296365,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"New York","otherGeospatial":"Adirondack Mountains","volume":"47","issue":"22","noUsgsAuthors":false,"publicationDate":"2013-11-07","publicationStatus":"PW","scienceBaseUri":"547ee2bee4b09357f05f8a47","contributors":{"authors":[{"text":"Sullivan, Timothy J.","contributorId":77812,"corporation":false,"usgs":true,"family":"Sullivan","given":"Timothy","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":526006,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lawrence, Gregory B. 0000-0002-8035-2350 glawrenc@usgs.gov","orcid":"https://orcid.org/0000-0002-8035-2350","contributorId":867,"corporation":false,"usgs":true,"family":"Lawrence","given":"Gregory","email":"glawrenc@usgs.gov","middleInitial":"B.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":526001,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bailey, Scott W. 0000-0002-9160-156X","orcid":"https://orcid.org/0000-0002-9160-156X","contributorId":36840,"corporation":false,"usgs":true,"family":"Bailey","given":"Scott","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":526005,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"McDonnell, Todd C.","contributorId":127622,"corporation":false,"usgs":false,"family":"McDonnell","given":"Todd","email":"","middleInitial":"C.","affiliations":[{"id":7087,"text":"Scientist, E&S Environmental Chemistry Inc, Corvallis OR","active":true,"usgs":false}],"preferred":false,"id":526007,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Beier, Colin M.","contributorId":17107,"corporation":false,"usgs":true,"family":"Beier","given":"Colin","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":526002,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Weathers, K.C.","contributorId":41378,"corporation":false,"usgs":true,"family":"Weathers","given":"K.C.","email":"","affiliations":[],"preferred":false,"id":526071,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"McPherson, G.T.","contributorId":127621,"corporation":false,"usgs":false,"family":"McPherson","given":"G.T.","email":"","affiliations":[{"id":7086,"text":"Field Technician, E&S Environmental Chemistry Inc, Corvallis OR","active":true,"usgs":false}],"preferred":false,"id":526004,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Bishop, Daniel A.","contributorId":127620,"corporation":false,"usgs":false,"family":"Bishop","given":"Daniel","email":"","middleInitial":"A.","affiliations":[{"id":7085,"text":"Graduate Student, SUNY at ESF, Syracuse NY","active":true,"usgs":false}],"preferred":false,"id":526003,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70129208,"text":"70129208 - 2013 - Geochemical monitoring for potential environmental impacts of geologic sequestration of CO<sub>2</sub>","interactions":[],"lastModifiedDate":"2017-06-30T15:13:30","indexId":"70129208","displayToPublicDate":"2013-01-01T10:26:41","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3281,"text":"Reviews in Mineralogy and Geochemistry","active":true,"publicationSubtype":{"id":10}},"title":"Geochemical monitoring for potential environmental impacts of geologic sequestration of CO<sub>2</sub>","docAbstract":"<p>Carbon dioxide sequestration is now considered an important component of the portfolio of options for reducing greenhouse gas emissions to stabilize their atmospheric levels at values that would limit global temperature increases to the target of 2 °C by the end of the century (Pacala and Socolow 2004; IPCC 2005, 2007; Benson and Cook 2005; Benson and Cole 2008; IEA 2012; Romanak et al. 2013). Increased anthropogenic emissions of CO2 have raised its atmospheric concentrations from about 280 ppmv during pre-industrial times to ~400 ppmv today, and based on several defined scenarios, CO2 concentrations are projected to increase to values as high as 1100 ppmv by 2100 (White et al. 2003; IPCC 2005, 2007; EIA 2012; Global CCS Institute 2012). An atmospheric CO2 concentration of 450 ppmv is generally the accepted level that is needed to limit global temperature increases to the target of 2 °C by the end of the century. This temperature limit likely would moderate the adverse effects related to climate change that could include sea-level rise from the melting of alpine glaciers and continental ice sheets and from the ocean warming; increased frequency and intensity of wildfires, floods, droughts, and tropical storms; and changes in the amount, timing, and distribution of rain, snow, and runoff (IPCC 2007; Sundquist et al. 2009; IEA 2012). Rising atmospheric CO2 concentrations are also increasing the amount of CO2 dissolved in ocean water lowering its pH from 8.1 to 8.0, with potentially disruptive effects on coral reefs, plankton and marine ecosystems (Adams and Caldeira 2008; Schrag 2009; Sundquist et al. 2009). Sedimentary basins in general and deep saline aquifers in particular are being investigated as possible repositories for the large volumes of anthropogenic CO2 that must be sequestered to mitigate global warming and related climate changes (Hitchon 1996; Benson and Cole 2008; Verma and Warwick 2011).</p>","language":"English","publisher":"Mineralogical Society of America","publisherLocation":"Washington, D.C.","doi":"10.2138/rmg.2013.77.11","usgsCitation":"Kharaka, Y.K., Cole, D.R., Thordsen, J., Gans, K.D., and Thomas, R.B., 2013, Geochemical monitoring for potential environmental impacts of geologic sequestration of CO<sub>2</sub>: Reviews in Mineralogy and Geochemistry, v. 77, no. 1, p. 399-430, https://doi.org/10.2138/rmg.2013.77.11.","productDescription":"32 p.","startPage":"399","endPage":"430","numberOfPages":"32","ipdsId":"IP-051042","costCenters":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"links":[{"id":295531,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":295478,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.2138/rmg.2013.77.11"}],"volume":"77","issue":"1","noUsgsAuthors":false,"publicationDate":"2013-11-07","publicationStatus":"PW","scienceBaseUri":"544775afe4b0f888a81b831a","contributors":{"authors":[{"text":"Kharaka, Yousif K. 0000-0001-9861-8260 ykharaka@usgs.gov","orcid":"https://orcid.org/0000-0001-9861-8260","contributorId":1928,"corporation":false,"usgs":true,"family":"Kharaka","given":"Yousif","email":"ykharaka@usgs.gov","middleInitial":"K.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":503542,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cole, David R.","contributorId":79044,"corporation":false,"usgs":true,"family":"Cole","given":"David","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":503546,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Thordsen, James J. jthordsn@usgs.gov","contributorId":3329,"corporation":false,"usgs":true,"family":"Thordsen","given":"James J.","email":"jthordsn@usgs.gov","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":503543,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gans, Kathleen D. 0000-0002-7545-9655 kgans@usgs.gov","orcid":"https://orcid.org/0000-0002-7545-9655","contributorId":5403,"corporation":false,"usgs":true,"family":"Gans","given":"Kathleen","email":"kgans@usgs.gov","middleInitial":"D.","affiliations":[],"preferred":true,"id":503545,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Thomas, Randal B. burt_thomas@usgs.gov","contributorId":5073,"corporation":false,"usgs":true,"family":"Thomas","given":"Randal","email":"burt_thomas@usgs.gov","middleInitial":"B.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":503544,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70118538,"text":"70118538 - 2013 - Overestimated water storage","interactions":[],"lastModifiedDate":"2014-07-29T10:23:36","indexId":"70118538","displayToPublicDate":"2013-01-01T10:21:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2845,"text":"Nature Geoscience","active":true,"publicationSubtype":{"id":10}},"title":"Overestimated water storage","docAbstract":"No abstract available.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Nature Geoscience","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Nature Pub. Group","publisherLocation":"New York, NY","doi":"10.1038/ngeo1659","usgsCitation":"Konikow, L.F., 2013, Overestimated water storage: Nature Geoscience, v. 6, no. 1, 3 p., https://doi.org/10.1038/ngeo1659.","productDescription":"3 p.","numberOfPages":"3","costCenters":[],"links":[{"id":474006,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1038/ngeo1659","text":"Publisher Index Page"},{"id":291264,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":291263,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1038/ngeo1659"}],"volume":"6","issue":"1","noUsgsAuthors":false,"publicationDate":"2012-12-21","publicationStatus":"PW","scienceBaseUri":"57f7f38de4b0bc0bec0a0a40","contributors":{"authors":[{"text":"Konikow, Leonard F. 0000-0002-0940-3856 lkonikow@usgs.gov","orcid":"https://orcid.org/0000-0002-0940-3856","contributorId":158,"corporation":false,"usgs":true,"family":"Konikow","given":"Leonard","email":"lkonikow@usgs.gov","middleInitial":"F.","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":496946,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70121488,"text":"70121488 - 2013 - Potential effects of sea-level rise on coastal wetlands in southeastern Louisiana","interactions":[],"lastModifiedDate":"2014-08-22T10:22:26","indexId":"70121488","displayToPublicDate":"2013-01-01T10:19:00","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":"Potential effects of sea-level rise on coastal wetlands in southeastern Louisiana","docAbstract":"<p>Coastal Louisiana wetlands contain about 37% of the estuarine herbaceous marshes in the conterminous United States. The long-term stability of coastal wetlands is often a function of a wetland's ability to maintain elevation equilibrium with mean sea level through processes such as primary production and sediment accretion. However, Louisiana has sustained more coastal wetland loss than all other states in the continental United States combined due to a combination of natural and anthropogenic factors, including sea-level rise. This study investigates the potential impact of current and accelerating sea-level rise rates on key coastal wetland habitats in southeastern Louisiana using the Sea Level Affecting Marshes Model (SLAMM). Model calibration was conducted using a 1956–2007 observation period and hindcasting results predicted 35% versus observed 39% total marsh loss. Multiple sea-level-rise scenarios were then simulated for the period of 2007–2100. Results indicate a range of potential wetland losses by 2100, from an additional 2,188.97 km<sup>2</sup> (218,897 ha, 9% of the 2007 wetland area) under the lowest sea-level-rise scenario (0.34 m), to a potential loss of 5,875.27 km<sup>2</sup> (587,527 ha, 24% of the 2007 wetland area) in the highest sea-level-rise scenario (1.9 m). Model results suggest that one area of particular concern is the potential vulnerability of the region's baldcypress-water tupelo (<i>Taxodium distichum-Nyssa aquatica</i>) swamp habitat, much of which is projected to become permanently flooded (affecting regeneration) under all modeled scenarios for sea-level rise. These findings will aid in the development of ecosystem management plans that support the processes and conditions that result in sustainable coastal ecosystems.</p>","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Coastal Research","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Coastal Education and Research Foundation","doi":"10.2112/SI63-0017.1","usgsCitation":"Glick, P., Clough, J., Polaczyk, A., Couvillion, B.R., and Nunley, B., 2013, Potential effects of sea-level rise on coastal wetlands in southeastern Louisiana: Journal of Coastal Research, p. 211-233, https://doi.org/10.2112/SI63-0017.1.","productDescription":"23 p.","startPage":"211","endPage":"233","numberOfPages":"23","ipdsId":"IP-035358","costCenters":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"links":[{"id":292846,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":292843,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.2112/SI63-0017.1"}],"country":"United States","state":"Louisiana","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -92.0768,28.9254 ], [ -92.0768,30.4599 ], [ -88.8162,30.4599 ], [ -88.8162,28.9254 ], [ -92.0768,28.9254 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53f8597ee4b03f038c5c189c","contributors":{"authors":[{"text":"Glick, Patty","contributorId":47283,"corporation":false,"usgs":true,"family":"Glick","given":"Patty","affiliations":[],"preferred":false,"id":499120,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Clough, Jonathan","contributorId":86488,"corporation":false,"usgs":true,"family":"Clough","given":"Jonathan","affiliations":[],"preferred":false,"id":499122,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Polaczyk, Amy","contributorId":51214,"corporation":false,"usgs":true,"family":"Polaczyk","given":"Amy","email":"","affiliations":[],"preferred":false,"id":499121,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Couvillion, Brady R. 0000-0001-5323-1687 couvillionb@usgs.gov","orcid":"https://orcid.org/0000-0001-5323-1687","contributorId":3829,"corporation":false,"usgs":true,"family":"Couvillion","given":"Brady","email":"couvillionb@usgs.gov","middleInitial":"R.","affiliations":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"preferred":false,"id":499119,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Nunley, Brad","contributorId":96197,"corporation":false,"usgs":true,"family":"Nunley","given":"Brad","email":"","affiliations":[],"preferred":false,"id":499123,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70046154,"text":"70046154 - 2013 - The water-quality effects of a bulkhead installed in the Dinero mine tunnel, near Leadville, Colorado","interactions":[],"lastModifiedDate":"2022-03-24T15:22:05.982569","indexId":"70046154","displayToPublicDate":"2013-01-01T10:17:47","publicationYear":"2013","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"The water-quality effects of a bulkhead installed in the Dinero mine tunnel, near Leadville, Colorado","docAbstract":"<p>No abstract available.</p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Annual International Mine Water Association conference — Reliable mine water technology","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"Reliable Mine Water Technology","conferenceLocation":"Golden, CO","language":"English","publisher":"International Mine Water Association","usgsCitation":"Walton-Day, K., Mills, T.J., Amundson, A., Dee, K.T., Relego, M.R., and Borbely, C., 2013, The water-quality effects of a bulkhead installed in the Dinero mine tunnel, near Leadville, Colorado, <i>in</i> Annual International Mine Water Association conference — Reliable mine water technology, v. II, Golden, CO, p. 1157-1164.","productDescription":"8 p.","startPage":"1157","endPage":"1164","ipdsId":"IP-045971","costCenters":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":397465,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":397464,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.imwa.info/imwaconferencesandcongresses/proceedings/278-proceedings-2013.html"}],"country":"United States","state":"Colorado","otherGeospatial":"Dinero Mine, Sugar Loaf Mining District","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -106.41923904418944,\n              39.226269374196264\n            ],\n            [\n              -106.37065887451172,\n              39.226269374196264\n            ],\n            [\n              -106.37065887451172,\n              39.268809522870185\n            ],\n            [\n              -106.41923904418944,\n              39.268809522870185\n            ],\n            [\n              -106.41923904418944,\n              39.226269374196264\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"II","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"editors":[{"text":"Brown, A.","contributorId":27825,"corporation":false,"usgs":true,"family":"Brown","given":"A.","affiliations":[],"preferred":false,"id":838657,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Figueroa, L.","contributorId":176780,"corporation":false,"usgs":false,"family":"Figueroa","given":"L.","affiliations":[],"preferred":false,"id":838658,"contributorType":{"id":2,"text":"Editors"},"rank":2},{"text":"Wolkersdorfer, C.","contributorId":176947,"corporation":false,"usgs":false,"family":"Wolkersdorfer","given":"C.","affiliations":[],"preferred":false,"id":838659,"contributorType":{"id":2,"text":"Editors"},"rank":3}],"authors":[{"text":"Walton-Day, Katherine 0000-0002-9146-6193 kwaltond@usgs.gov","orcid":"https://orcid.org/0000-0002-9146-6193","contributorId":184043,"corporation":false,"usgs":true,"family":"Walton-Day","given":"Katherine","email":"kwaltond@usgs.gov","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":838651,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mills, Taylor J. 0000-0001-7252-0521 tmills@usgs.gov","orcid":"https://orcid.org/0000-0001-7252-0521","contributorId":4658,"corporation":false,"usgs":true,"family":"Mills","given":"Taylor","email":"tmills@usgs.gov","middleInitial":"J.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":838652,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Amundson, Adolph","contributorId":289187,"corporation":false,"usgs":false,"family":"Amundson","given":"Adolph","email":"","affiliations":[],"preferred":false,"id":838653,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Dee, Kato T.","contributorId":289188,"corporation":false,"usgs":false,"family":"Dee","given":"Kato","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":838654,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Relego, Melissa R.","contributorId":289189,"corporation":false,"usgs":false,"family":"Relego","given":"Melissa","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":838655,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Borbely, Caitlin","contributorId":289190,"corporation":false,"usgs":false,"family":"Borbely","given":"Caitlin","email":"","affiliations":[],"preferred":false,"id":838656,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70113284,"text":"70113284 - 2013 - SPARROW models used to understand nutrient sources in the Mississippi/Atchafalaya River Basin","interactions":[],"lastModifiedDate":"2018-02-06T12:25:58","indexId":"70113284","displayToPublicDate":"2013-01-01T10:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2262,"text":"Journal of Environmental Quality","active":true,"publicationSubtype":{"id":10}},"title":"SPARROW models used to understand nutrient sources in the Mississippi/Atchafalaya River Basin","docAbstract":"Nitrogen (N) and phosphorus (P) loading from the Mississippi/Atchafalaya River Basin (MARB) has been linked to hypoxia in the Gulf of Mexico. To describe where and from what sources those loads originate, SPAtially Referenced Regression On Watershed attributes (SPARROW) models were constructed for the MARB using geospatial datasets for 2002, including inputs from wastewater treatment plants (WWTPs), and calibration sites throughout the MARB. Previous studies found that highest N and P yields were from the north-central part of the MARB (Corn Belt). Based on the MARB SPARROW models, highest N yields were still from the Corn Belt but centered over Iowa and Indiana, and highest P yields were widely distributed throughout the center of the MARB. Similar to that found in other studies, agricultural inputs were found to be the largest N and P sources throughout most of the MARB: farm fertilizers were the largest N source, whereas farm fertilizers, manure, and urban inputs were dominant P sources. The MARB models enable individual N and P sources to be defined at scales ranging from SPARROW catchments (∼50 km<sup>2</sup>) to the entire area of the MARB. Inputs of P from WWTPs and urban areas were more important than found in most other studies. Information from this study will help to reduce nutrient loading from the MARB by providing managers with a description of where each of the sources of N and P are most important, thus providing a basis for prioritizing management actions and ultimately reducing the extent of Gulf hypoxia.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Environmental Quality","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"American Society of Agronomy","doi":"10.2134/jeq2013.02.0066","usgsCitation":"Robertson, D.M., and Saad, D.A., 2013, SPARROW models used to understand nutrient sources in the Mississippi/Atchafalaya River Basin: Journal of Environmental Quality, v. 42, no. 5, p. 1422-1440, https://doi.org/10.2134/jeq2013.02.0066.","productDescription":"19 p.","startPage":"1422","endPage":"1440","numberOfPages":"19","ipdsId":"IP-043684","costCenters":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"links":[{"id":474009,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.2134/jeq2013.02.0066","text":"Publisher Index Page"},{"id":288956,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":288911,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.2134/jeq2013.02.0066"}],"country":"United States","otherGeospatial":"Mississippi/atchafalaya River Basin","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -116.05,29.63 ], [ -116.05,49.0 ], [ -76.27,49.0 ], [ -76.27,29.63 ], [ -116.05,29.63 ] ] ] } } ] }","volume":"42","issue":"5","noUsgsAuthors":false,"publicationDate":"2013-09-01","publicationStatus":"PW","scienceBaseUri":"53ae7818e4b0abf75cf2c9cc","contributors":{"authors":[{"text":"Robertson, Dale M. 0000-0001-6799-0596 dzrobert@usgs.gov","orcid":"https://orcid.org/0000-0001-6799-0596","contributorId":150760,"corporation":false,"usgs":true,"family":"Robertson","given":"Dale","email":"dzrobert@usgs.gov","middleInitial":"M.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":495040,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Saad, David A. dasaad@usgs.gov","contributorId":121,"corporation":false,"usgs":true,"family":"Saad","given":"David","email":"dasaad@usgs.gov","middleInitial":"A.","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":true,"id":495041,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70125649,"text":"70125649 - 2013 - Variable intertidal temperature explains why disease endangers black abalone","interactions":[],"lastModifiedDate":"2014-09-18T09:54:26","indexId":"70125649","displayToPublicDate":"2013-01-01T09:52:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1465,"text":"Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Variable intertidal temperature explains why disease endangers black abalone","docAbstract":"Epidemiological theory suggests that pathogens will not cause host extinctions because agents of disease should fade out when the host population is driven below a threshold density. Nevertheless, infectious diseases have threatened species with extinction on local scales by maintaining high incidence and the ability to spread efficiently even as host populations decline. Intertidal black abalone (Haliotis cracherodii), but not other abalone species, went extinct locally throughout much of southern California following the emergence of a Rickettsiales-like pathogen in the mid-1980s. The rickettsial disease, a condition known as withering syndrome (WS), and associated mortality occur at elevated water temperatures. We measured abalone body temperatures in the field and experimentally manipulated intertidal environmental conditions in the laboratory, testing the influence of mean temperature and daily temperature variability on key epizootiological processes of WS. Daily temperature variability increased the susceptibility of black abalone to infection, but disease expression occurred only at warm water temperatures and was independent of temperature variability. These results imply that high thermal variation of the marine intertidal zone allows the pathogen to readily infect black abalone, but infected individuals remain asymptomatic until water temperatures periodically exceed thresholds modulating WS. Mass mortalities can therefore occur before pathogen transmission is limited by density-dependent factors.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Ecology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Ecological Society of America","doi":"10.1890/11-2257.1","usgsCitation":"Ben-Horin, T., Lenihan, H.S., and Lafferty, K.D., 2013, Variable intertidal temperature explains why disease endangers black abalone: Ecology, v. 94, no. 1, p. 161-168, https://doi.org/10.1890/11-2257.1.","productDescription":"8 p.","startPage":"161","endPage":"168","numberOfPages":"8","ipdsId":"IP-038449","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":294105,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":294035,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1890/11-2257.1"}],"volume":"94","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"541bf463e4b0e96537ddf91f","contributors":{"authors":[{"text":"Ben-Horin, Tal","contributorId":58137,"corporation":false,"usgs":false,"family":"Ben-Horin","given":"Tal","email":"","affiliations":[],"preferred":false,"id":501538,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lenihan, Hunter S.","contributorId":94227,"corporation":false,"usgs":true,"family":"Lenihan","given":"Hunter","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":501539,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lafferty, Kevin D. 0000-0001-7583-4593 klafferty@usgs.gov","orcid":"https://orcid.org/0000-0001-7583-4593","contributorId":1415,"corporation":false,"usgs":true,"family":"Lafferty","given":"Kevin","email":"klafferty@usgs.gov","middleInitial":"D.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":501537,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70125273,"text":"70125273 - 2013 - A natural resource condition assessment for Sequoia and Kings Canyon National Parks: Appendix 22: climatic change","interactions":[],"lastModifiedDate":"2014-09-25T09:56:39","indexId":"70125273","displayToPublicDate":"2013-01-01T09:52:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":1,"text":"Federal Government Series"},"seriesTitle":{"id":53,"text":"Natural Resource Report","active":false,"publicationSubtype":{"id":1}},"seriesNumber":"NPS/SEKI/NRR--2013/665.22","title":"A natural resource condition assessment for Sequoia and Kings Canyon National Parks: Appendix 22: climatic change","docAbstract":"<p>Climate is a master controller of the structure, composition, and function of biotic communities, \naffecting them both directly, through physiological effects, and indirectly, by mediating biotic \ninteractions and by influencing disturbance regimes. Sequoia and Kings Canyon National Park’s \n(SEKI’s) dramatic elevational changes in biotic communities -- from warm mediterranean to \ncold alpine -- are but one manifestation of climate’s overarching importance in shaping SEKI’s \nlandscape. </p>\n<br>\n<p>Yet humans are now altering the global climate, with measurable effects on ecosystems (IPCC \n2007). Over the last few decades across the western United States, human-induced climatic \nchanges have likely contributed to observed declines in fraction of precipitation falling as snow \nand snowpack water content (Mote et al. 2005, Knowles et al. 2006), advance in spring \nsnowmelt (Stewart et al. 2005, Barnett et al. 2008), and consequent increase in area burned in \nwildfires (Westerling et al. 2006). In the Sierra Nevada, warming temperatures have likely \ncontributed to observed glacial recession (Basagic 2008), uphill migration of small mammals \n(Moritz et al. 2008), and increasing tree mortality rates (van Mantgem and Stephenson 2007, van \nMantgem et al. 2009). More substantial changes can be expected for the future (e.g., IPCC \n2007).</p>\n<br>\n<p>Given the central importance of climate and climatic changes, we sought to describe long-term \ntrends in temperature and precipitation at SEKI. Time and budget constraints limited us to \nanalyses of mean annual temperature and mean annual precipitation, using readily-available data. \nIf funds become available in the future, further analyses will be needed to analyze trends by \nseason, trends in daily minimum and maximum temperatures, and so on.</p>\n<br>\n<p>We chose to analyze data from individual weather stations rather than use interpolated climatic \ndata from sources such as PRISM (http://www.prism.oregonstate.edu/). In topographically \ncomplex mountainous regions with few weather stations, like SEKI, the addition or subtraction \nof even a single weather station through time has the potential to significantly bias trends in \ninterpolated data. In particular, this analysis was motivated by our questioning of some PRISM \nresults presented in Appendix 1 (Landscape Context) that compared temperature averages \nbetween two 30-year periods of the 20th Century. Figures 6 and 11 of Appendix 1 indicate that \nrecent (1971-2000) temperatures in northern Kings Canyon National Park averaged some 2° C \ncooler than those of 1911-1940. This would represent a truly profound and persistent cooling, \nand seems to be at odds both with the glacial retreats observed in the area over the century \n(Basagic 2008), and with the reported PRISM warming of nearly 2° C just to the west of the \ncooling (see Figs. 6 and 11 in Appendix 1). We suspect that the extreme localized Kings Canyon \ncooling reported by PRISM is an artifact of sparsely-distributed weather stations in the region \nbeing added and discontinued over the span of the 20th Century. For example, data from the \nWestern Regional Climate Center (http://www.wrcc.dri.edu/coopmap/) suggest that for the \nperiod 1911 through 1924 PRISM must interpolate northern Kings Canyon temperatures based \non a few low-elevation stations -- separated by hundreds of kilometers -- in Nevada and \nCalifornia’s San Joaquin Valley. In contrast, by 1970 PRISM interpolations will be dominated \nby closer, higher-elevation stations (see this report). The single weather station closest to \nnorthern Kings Canyon that has a temperature record at least partly spanning Appendix 1’s two\n30-year time periods -- the Independence station, with a relatively continuous temperature record \nstarting in 1925 -- shows a modest warming, not a cooling, between 1925-1940 and 1971-2000, \nfurther casting doubt on the Kings Canyon cooling shown in Figs. 6 and 11 of Appendix 1. If \nfunds become available, it will be useful to more formally analyze potential PRISM biases in \nlong-term SEKI climatic trends. Until then, the analyses of individual weather station records \npresented here (effectively an analysis of source data that PRISM uses) are meant to provide a \nrobust summary of climatic changes in SEKI.</p>","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"A natural resource condition assessment for Sequoia and Kings Canyon National Parks","largerWorkSubtype":{"id":1,"text":"Federal Government Series"},"language":"English","publisher":"National Park Service","publisherLocation":"Fort Collins, CO","usgsCitation":"Das, A., and Stephenson, N.L., 2013, A natural resource condition assessment for Sequoia and Kings Canyon National Parks: Appendix 22: climatic change: Natural Resource Report NPS/SEKI/NRR--2013/665.22, v, 28 p.","productDescription":"v, 28 p.","numberOfPages":"36","ipdsId":"IP-039290","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":294467,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":294466,"type":{"id":15,"text":"Index Page"},"url":"https://irma.nps.gov/App/Reference/Profile/2195963"}],"country":"United States","state":"California","otherGeospatial":"Kings Canyon National Park;Sequoia National Park","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -118.983208,36.118448 ], [ -118.983208,37.237613 ], [ -118.020777,37.237613 ], [ -118.020777,36.118448 ], [ -118.983208,36.118448 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"54252e99e4b0e641df8a6e1c","contributors":{"authors":[{"text":"Das, Adrian J. 0000-0002-3937-2616 adas@usgs.gov","orcid":"https://orcid.org/0000-0002-3937-2616","contributorId":3842,"corporation":false,"usgs":true,"family":"Das","given":"Adrian J.","email":"adas@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":501082,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stephenson, Nathan L. 0000-0003-0208-7229 nstephenson@usgs.gov","orcid":"https://orcid.org/0000-0003-0208-7229","contributorId":2836,"corporation":false,"usgs":true,"family":"Stephenson","given":"Nathan","email":"nstephenson@usgs.gov","middleInitial":"L.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":501081,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70121475,"text":"70121475 - 2013 - Monitoring vegetation response to episodic disturbance events by using multitemporal vegetation indices","interactions":[],"lastModifiedDate":"2019-07-01T11:46:55","indexId":"70121475","displayToPublicDate":"2013-01-01T09:51:00","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":"Monitoring vegetation response to episodic disturbance events by using multitemporal vegetation indices","docAbstract":"<p><span>Normalized Difference Vegetation Index (NDVI) derived from MODerate-resolution Imaging Spectroradiometer (MODIS) satellite imagery and land/water assessments from Landsat Thematic Mapper (TM) imagery were used to quantify the extent and severity of damage and subsequent recovery after Hurricanes Katrina and Rita of 2005 within the vegetation communities of Louisiana's coastal wetlands. Field data on species composition and total live cover were collected from 232 unique plots during multiple time periods to corroborate changes in NDVI values over time. Aprehurricane 5-year baseline time series clearly identified NDVI values by habitat type, suggesting the sensitivity of NDVI to assess and monitor phenological changes in coastal wetland habitats. Monthly data from March 2005 to November 2006 were compared to the baseline average to create a departure from average statistic. Departures suggest that over 33% (4,714 km</span><sup>2</sup><span>) of the prestorm, coastal wetlands experienced a substantial decline in the density and vigor of vegetation by October 2005 (poststorm), mostly in the east and west regions, where landfalls of Hurricanes Katrina and Rita occurred. The percentage of area of persistent vegetation damage due to long-lasting formation of new open water was 91.8% in the east and 81.0% and 29.0% in the central and west regions, respectively. Although below average NDVI values were observed in most marsh communities through November 2006, recovery of vegetation was evident. Results indicated that impacts and recovery from large episodic disturbance events that influence multiple habitat types can be accurately determined using NDVI, especially when integrated with assessments of physical landscape changes and field verifications.</span></p>","language":"English","publisher":"Coastal Education and Research Foundation","doi":"10.2112/SI63-011.1","usgsCitation":"Steyer, G.D., Couvillion, B.R., and Barras, J., 2013, Monitoring vegetation response to episodic disturbance events by using multitemporal vegetation indices: Journal of Coastal Research, no. 63, p. 118-130, https://doi.org/10.2112/SI63-011.1.","productDescription":"13 p.","startPage":"118","endPage":"130","numberOfPages":"13","ipdsId":"IP-035355","costCenters":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"links":[{"id":292831,"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 ], [ -94.0434,30.5829 ], [ -88.8162,30.5829 ], [ -88.8162,28.9254 ], [ -94.0434,28.9254 ] ] ] } } ] }","issue":"63","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53f85975e4b03f038c5c1872","contributors":{"authors":[{"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":455,"text":"National Wetlands Research Center","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}],"preferred":true,"id":499102,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Couvillion, Brady R. 0000-0001-5323-1687 couvillionb@usgs.gov","orcid":"https://orcid.org/0000-0001-5323-1687","contributorId":3829,"corporation":false,"usgs":true,"family":"Couvillion","given":"Brady","email":"couvillionb@usgs.gov","middleInitial":"R.","affiliations":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"preferred":false,"id":499101,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Barras, John A. jbarras@usgs.gov","contributorId":2425,"corporation":false,"usgs":true,"family":"Barras","given":"John A.","email":"jbarras@usgs.gov","affiliations":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"preferred":false,"id":499103,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70113269,"text":"70113269 - 2013 - Reply to discussion: \"Nutrient inputs to the Laurentian Great Lakes by source and watershed estimated using SPARROW watershed models\" by R. Peter Richards, Ibrahim Alameddine, J. David Allan, David B. Baker, Nathan S. Bosch, Remegio Confesor, Joseph V. DePinto, David M. Dolan, Jeffrey M. Reutter, and Donald Scavia","interactions":[],"lastModifiedDate":"2018-02-06T12:26:08","indexId":"70113269","displayToPublicDate":"2013-01-01T09:50:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2529,"text":"Journal of the American Water Resources Association","active":true,"publicationSubtype":{"id":10}},"title":"Reply to discussion: \"Nutrient inputs to the Laurentian Great Lakes by source and watershed estimated using SPARROW watershed models\" by R. Peter Richards, Ibrahim Alameddine, J. David Allan, David B. Baker, Nathan S. Bosch, Remegio Confesor, Joseph V. DePinto, David M. Dolan, Jeffrey M. Reutter, and Donald Scavia","docAbstract":"No abstract available.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of the American Water Resources Association","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Wiley","doi":"10.1111/jawr.12060","usgsCitation":"Robertson, D.M., and Saad, D.A., 2013, Reply to discussion: \"Nutrient inputs to the Laurentian Great Lakes by source and watershed estimated using SPARROW watershed models\" by R. Peter Richards, Ibrahim Alameddine, J. David Allan, David B. Baker, Nathan S. Bosch, Remegio Confesor, Joseph V. DePinto, David M. Dolan, Jeffrey M. Reutter, and Donald Scavia: Journal of the American Water Resources Association, v. 49, no. 3, p. 725-734, https://doi.org/10.1111/jawr.12060.","productDescription":"10 p.","startPage":"725","endPage":"734","numberOfPages":"10","ipdsId":"IP-043685","costCenters":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"links":[{"id":288908,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1111/jawr.12060"},{"id":288954,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"49","issue":"3","noUsgsAuthors":false,"publicationDate":"2013-05-13","publicationStatus":"PW","scienceBaseUri":"53ae7813e4b0abf75cf2c913","chorus":{"doi":"10.1111/jawr.12060","url":"http://dx.doi.org/10.1111/jawr.12060","publisher":"Wiley-Blackwell","authors":"Robertson Dale M., Saad David A.","journalName":"JAWRA Journal of the American Water Resources Association","publicationDate":"5/13/2013","auditedOn":"11/15/2016"},"contributors":{"authors":[{"text":"Robertson, Dale M. 0000-0001-6799-0596 dzrobert@usgs.gov","orcid":"https://orcid.org/0000-0001-6799-0596","contributorId":150760,"corporation":false,"usgs":true,"family":"Robertson","given":"Dale","email":"dzrobert@usgs.gov","middleInitial":"M.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":495033,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Saad, David A. dasaad@usgs.gov","contributorId":121,"corporation":false,"usgs":true,"family":"Saad","given":"David","email":"dasaad@usgs.gov","middleInitial":"A.","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":true,"id":495034,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70121460,"text":"70121460 - 2013 - Marsh collapse thresholds for coastal Louisiana estimated using elevation and vegetation index data","interactions":[],"lastModifiedDate":"2014-08-22T09:46:03","indexId":"70121460","displayToPublicDate":"2013-01-01T09:42:00","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":"Marsh collapse thresholds for coastal Louisiana estimated using elevation and vegetation index data","docAbstract":"<p>Forecasting marsh collapse in coastal Louisiana as a result of changes in sea-level rise, subsidence, and accretion deficits necessitates an understanding of thresholds beyond which inundation stress impedes marsh survival. The variability in thresholds at which different marsh types cease to occur (i.e., marsh collapse) is not well understood. We utilized remotely sensed imagery, field data, and elevation data to help gain insight into the relationships between vegetation health and inundation. A Normalized Difference Vegetation Index (NDVI) dataset was calculated using remotely sensed data at peak biomass (August) and used as a proxy for vegetation health and productivity. Statistics were calculated for NDVI values by marsh type for intermediate, brackish, and saline marsh in coastal Louisiana. Marsh-type specific NDVI values of 1.5 and 2 standard deviations below the mean were used as upper and lower limits to identify conditions indicative of collapse. As marshes seldom occur beyond these values, they are believed to represent a range within which marsh collapse is likely to occur. Inundation depth was selected as the primary candidate for evaluation of marsh collapse thresholds. Elevation relative to mean water level (MWL) was calculated by subtracting MWL from an elevation dataset compiled from multiple data types including light detection and ranging (lidar) and bathymetry. A polynomial cubic regression was used to examine a random subset of pixels to determine the relationship between elevation (relative to MWL) and NDVI. The marsh collapse uncertainty range values were found by locating the intercept of the regression line with the 1.5 and 2 standard deviations below the mean NDVI value for each marsh type. Results indicate marsh collapse uncertainty ranges of 30.7–35.8 cm below MWL for intermediate marsh, 20–25.6 cm below MWL for brackish marsh, and 16.9–23.5 cm below MWL for saline marsh. These values are thought to represent the ranges of inundation depths within which marsh collapse is probable.</p>","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Coastal Research","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Coastal Education and Research Foundation","doi":"10.2112/SI63-006.1","usgsCitation":"Couvillion, B., and Beck, H., 2013, Marsh collapse thresholds for coastal Louisiana estimated using elevation and vegetation index data: Journal of Coastal Research, p. 58-67, https://doi.org/10.2112/SI63-006.1.","productDescription":"10 p.","startPage":"58","endPage":"67","numberOfPages":"10","ipdsId":"IP-035354","costCenters":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"links":[{"id":292826,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":292823,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.2112/SI63-006.1"}],"country":"United States","state":"Louisiana","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -94.0434,28.9254 ], [ -94.0434,30.6491 ], [ -88.8162,30.6491 ], [ -88.8162,28.9254 ], [ -94.0434,28.9254 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53f8596ae4b03f038c5c1847","contributors":{"authors":[{"text":"Couvillion, Brady R. 0000-0001-5323-1687","orcid":"https://orcid.org/0000-0001-5323-1687","contributorId":98834,"corporation":false,"usgs":true,"family":"Couvillion","given":"Brady R.","affiliations":[],"preferred":false,"id":499081,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Beck, Holly 0000-0002-0567-9329","orcid":"https://orcid.org/0000-0002-0567-9329","contributorId":54714,"corporation":false,"usgs":true,"family":"Beck","given":"Holly","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":false,"id":499080,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
]}