Toxic blooms of golden alga (Prymnesium parvum) have caused substantial ecological and economic harm in freshwater and marine systems throughout the world. In North America, toxic blooms have impacted freshwater systems including large reservoirs. Management of water chemistry is one proposed option for golden alga control in these systems. The main objective of this study was to assess physicochemical characteristics of water that influence golden alga presence, abundance, and toxicity in the Upper Colorado River basin (UCR) in Texas. The UCR contains reservoirs that have experienced repeated blooms and other reservoirs where golden alga is present but has not been toxic. We quantified golden alga abundance (hemocytometer counts), ichthyotoxicity (bioassay), and water chemistry (surface grab samples) at three impacted reservoirs on the Colorado River; two reference reservoirs on the Concho River; and three sites at the confluence of these rivers. Sampling occurred monthly from January 2010 to July 2011. Impacted sites were characterized by higher specific conductance, calcium and magnesium hardness, and fluoride than reference and confluence sites. At impacted sites, golden alga abundance and toxicity were positively associated with salinity-related variables and blooms peaked at ~10°C and generally did not occur above 20°C. Overall, these findings suggest management of land and water use to reduce hardness or salinity could produce unfavorable conditions for golden alga.
","language":"English","publisher":"American Water Resources Association","publisherLocation":"Herndon, VA","doi":"10.1111/jawr.12262","usgsCitation":"VanLandeghem, M., Farooqi, M., Southard, G.M., and Patino, R., 2015, Associations between water physicochemistry and Prymnesium parvum presence, abundance, and toxicity in west Texas reservoirs: Journal of the American Water Resources Association, v. 51, no. 2, p. 471-486, https://doi.org/10.1111/jawr.12262.","productDescription":"16 p.","startPage":"471","endPage":"486","numberOfPages":"16","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-051548","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":302371,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"51","issue":"2","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationDate":"2014-11-11","publicationStatus":"PW","scienceBaseUri":"558e77aee4b0b6d21dd6593d","contributors":{"authors":[{"text":"VanLandeghem, Matthew M.","contributorId":143728,"corporation":false,"usgs":false,"family":"VanLandeghem","given":"Matthew M.","affiliations":[],"preferred":false,"id":556947,"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":556948,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Southard, Greg M.","contributorId":143730,"corporation":false,"usgs":false,"family":"Southard","given":"Greg","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":556949,"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":556899,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70146516,"text":"70146516 - 2015 - Geologic control on the evolution of the inner shelf morphology offshore of the Mississippi barrier islands, northern Gulf of Mexico, USA","interactions":[],"lastModifiedDate":"2015-04-22T15:27:54","indexId":"70146516","displayToPublicDate":"2015-04-01T11:30:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1333,"text":"Continental Shelf Research","active":true,"publicationSubtype":{"id":10}},"title":"Geologic control on the evolution of the inner shelf morphology offshore of the Mississippi barrier islands, northern Gulf of Mexico, USA","docAbstract":"Between 2008 and 2013, high-resolution geophysical surveys were conducted around the Mississippi barrier islands and offshore. The sonar surveys included swath and single-beam bathymetry, sidescan, and chirp subbottom data collection. The geophysical data were groundtruthed using vibracore sediment collection. The results provide insight into the evolution of the inner shelf and the relationship between the near surface geologic framework and the morphology of the coastal zone. This study focuses on the buried Pleistocene fluvial deposits and late Holocene shore-oblique sand ridges offshore of Petit Bois Island and Petit Bois Pass. Prior to this study, the physical characteristics, evolution, and interrelationship of the ridges between both the shelf geology and the adjacent barrier island platform had not been evaluated. Numerous studies elsewhere along the coastal margin attribute shoal origin and sand-ridge evolution to hydrodynamic processes in shallow water (<20 m). Here we characterize the correlation between the geologic framework and surface morphology and demonstrate that the underlying stratigraphy must also be considered when developing an evolutionary conceptual model. It is important to understand this near surface, nearshore dynamic in order to understand how the stratigraphy influences the long-term response of the coastal zone to sea-level rise. The study also contributes to a growing body of work characterizing shore-oblique sand ridges which, along with the related geology, are recognized as increasingly important components to a nearshore framework whose origins and evolution must be understood and inventoried to effectively manage the coastal zone.
","language":"English","publisher":"North Pacific Marine Science Organization","publisherLocation":"New York, NY","doi":"10.1016/j.csr.2015.04.008","collaboration":"U.S. Geological Survey Northern GOM Hazards and Susceptibility Project, and the U.S. Army Corps of Engineers (USACE) Mississippi Coastal Improvement Project","usgsCitation":"Flocks, J.G., Kindinger, J.L., and Kelso, K.W., 2015, Geologic control on the evolution of the inner shelf morphology offshore of the Mississippi barrier islands, northern Gulf of Mexico, USA: Continental Shelf Research, v. 101, p. 59-70, https://doi.org/10.1016/j.csr.2015.04.008.","productDescription":"12 p.","startPage":"59","endPage":"70","numberOfPages":"12","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-061522","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":299777,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":299700,"type":{"id":15,"text":"Index Page"},"url":"https://www.sciencedirect.com/science/article/pii/S0278434315000898"}],"volume":"101","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5536233be4b0b22a15807a98","contributors":{"authors":[{"text":"Flocks, James G. 0000-0002-6177-7433 jflocks@usgs.gov","orcid":"https://orcid.org/0000-0002-6177-7433","contributorId":816,"corporation":false,"usgs":true,"family":"Flocks","given":"James","email":"jflocks@usgs.gov","middleInitial":"G.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":544990,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kindinger, Jack L. jkindinger@usgs.gov","contributorId":815,"corporation":false,"usgs":true,"family":"Kindinger","given":"Jack","email":"jkindinger@usgs.gov","middleInitial":"L.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":544991,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kelso, Kyle W. 0000-0003-0615-242X kkelso@usgs.gov","orcid":"https://orcid.org/0000-0003-0615-242X","contributorId":4307,"corporation":false,"usgs":true,"family":"Kelso","given":"Kyle","email":"kkelso@usgs.gov","middleInitial":"W.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":544992,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70142978,"text":"70142978 - 2015 - Modeled intermittency risk for small streams in the Upper Colorado River Basin under climate change","interactions":[],"lastModifiedDate":"2016-04-12T13:52:55","indexId":"70142978","displayToPublicDate":"2015-04-01T11:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2342,"text":"Journal of Hydrology","active":true,"publicationSubtype":{"id":10}},"title":"Modeled intermittency risk for small streams in the Upper Colorado River Basin under climate change","docAbstract":"Longer, drier summers projected for arid and semi-arid regions of western North America under climate change are likely to have enormous consequences for water resources and river-dependent ecosystems. Many climate change scenarios for this region involve decreases in mean annual streamflow, late summer precipitation and late-summer streamflow in the coming decades. Intermittent streams are already common in this region, and it is likely that minimum flows will decrease and some perennial streams will shift to intermittent flow under climate-driven changes in timing and magnitude of precipitation and runoff, combined with increases in temperature. To understand current intermittency among streams and analyze the potential for streams to shift from perennial to intermittent under a warmer climate, we analyzed historic flow records from streams in the Upper Colorado River Basin (UCRB). Approximately two-thirds of 115 gaged stream reaches included in our analysis are currently perennial and the rest have some degree of intermittency. Dry years with combinations of high temperatures and low precipitation were associated with more zero-flow days. Mean annual flow was positively related to minimum flows, suggesting that potential future declines in mean annual flows will correspond with declines in minimum flows. The most important landscape variables for predicting low flow metrics were precipitation, percent snow, potential evapotranspiration, soils, and drainage area. Perennial streams in the UCRB that have high minimum-flow variability and low mean flows are likely to be most susceptible to increasing streamflow intermittency in the future.
","language":"English","publisher":"European Geophysical Society","publisherLocation":"New York, NY","doi":"10.1016/j.jhydrol.2015.02.025","usgsCitation":"Reynolds, L., Shafroth, P.B., and Poff, N.L., 2015, Modeled intermittency risk for small streams in the Upper Colorado River Basin under climate change: Journal of Hydrology, v. 523, p. 768-780, https://doi.org/10.1016/j.jhydrol.2015.02.025.","productDescription":"13 p.","startPage":"768","endPage":"780","numberOfPages":"13","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-059776","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":298560,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arizona, Colorado, New Mexico, Utah, Wyoming","otherGeospatial":"Upper Colorado River Basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n 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Infections were detected in 25 individuals of six species for an overall apparent prevalence rate of 3.1%. Analysis of haematozoa mitochondrial DNA revealed twelve distinct parasite haplotypes infecting South American waterfowl, four of which were identical to lineages previously observed infecting ducks and swans sampled in North America. Analysis of parasite mitochondrial DNA sequences revealed close phylogenetic relationships between lineages originating from waterfowl samples regardless of continental affiliation. In contrast, more distant phylogenetic relationships were observed between parasite lineages from waterfowl and passerines sampled in South America for Haemoproteus and Leucocytozoon, suggesting some level of host specificity for parasites of these genera. The detection of identical parasite lineages in endemic, South American waterfowl and North American ducks and swans, paired with the close phylogenetic relationships of haematozoa infecting waterfowl on both continents, provides evidence for parasite redistribution between these regions by migratory birds.
","language":"English","publisher":"Australian Society for Parasitology","publisherLocation":"Oxford","doi":"10.1016/j.ijppaw.2014.12.007","usgsCitation":"Smith, M.M., and Ramey, A.M., 2015, Prevalence and genetic diversity of haematozoa in South American waterfowl and evidence for intercontinental redistribution of parasites by migratory birds: International Journal for Parasitology: Parasites and Wildlife, v. 4, no. 1, p. 22-28, https://doi.org/10.1016/j.ijppaw.2014.12.007.","productDescription":"7 p.","startPage":"22","endPage":"28","numberOfPages":"7","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-056200","costCenters":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"links":[{"id":472166,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.ijppaw.2014.12.007","text":"Publisher Index Page"},{"id":301191,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"4","issue":"1","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"557c02dfe4b023124e8edf38","chorus":{"doi":"10.1016/j.ijppaw.2014.12.007","url":"http://dx.doi.org/10.1016/j.ijppaw.2014.12.007","publisher":"Elsevier BV","authors":"Smith Matthew M., Ramey Andrew M.","journalName":"International Journal for Parasitology: Parasites and Wildlife","publicationDate":"4/2015","auditedOn":"2/8/2015","publiclyAccessibleDate":"12/22/2014"},"contributors":{"authors":[{"text":"Smith, Matthew M. 0000-0002-2259-5135 mmsmith@usgs.gov","orcid":"https://orcid.org/0000-0002-2259-5135","contributorId":5115,"corporation":false,"usgs":true,"family":"Smith","given":"Matthew","email":"mmsmith@usgs.gov","middleInitial":"M.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":548517,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ramey, Andrew M. 0000-0002-3601-8400 aramey@usgs.gov","orcid":"https://orcid.org/0000-0002-3601-8400","contributorId":1872,"corporation":false,"usgs":true,"family":"Ramey","given":"Andrew","email":"aramey@usgs.gov","middleInitial":"M.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":548518,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70150451,"text":"70150451 - 2015 - Spatiotemporal associations of reservoir nutrient characteristics and the invasive, harmful alga Prymnesium parvum in West Texas","interactions":[],"lastModifiedDate":"2015-06-26T10:00:48","indexId":"70150451","displayToPublicDate":"2015-04-01T11:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2529,"text":"Journal of the American Water Resources Association","active":true,"publicationSubtype":{"id":10}},"title":"Spatiotemporal associations of reservoir nutrient characteristics and the invasive, harmful alga Prymnesium parvum in West Texas","docAbstract":"Golden alga (Prymnesium parvum) is a harmful alga that has caused ecological and economic harm in freshwater and marine systems worldwide. In inland systems of North America, toxic blooms have nearly eliminated fish populations in some systems. Modifying nutrient profiles through alterations to land or water use may be a viable alternative for golden alga control in reservoirs. The main objective of this study was to improve our understanding of the nutrient dynamics that influence golden alga bloom formation and toxicity in west Texas reservoirs. We examined eight sites in the Upper Colorado River basin, Texas: three impacted reservoirs that have experienced repeated golden alga blooms; two reference reservoirs where golden alga is present but nontoxic; and three confluence sites downstream of the impacted and reference sites. Total, inorganic, and organic nitrogen and phosphorus and their ratios were quantified monthly along with golden alga abundance and ichthyotoxicity between December 2010 and July 2011. Blooms persisted for several months at the impacted sites, which were characterized by high organic nitrogen and low inorganic nitrogen. At impacted sites, abundance was positively associated with inorganic phosphorus and bloom termination coincided with increases in inorganic nitrogen and decreases in inorganic phosphorus in late spring. Management of both inorganic and organic forms of nutrients may create conditions in reservoirs unfavorable to golden alga.
","language":"English","publisher":"American Water Resources Association","publisherLocation":"Herndon, VA","doi":"10.1111/jawr.12261","usgsCitation":"VanLandeghem, M., Farooqi, M., Southard, G.M., and Patino, R., 2015, Spatiotemporal associations of reservoir nutrient characteristics and the invasive, harmful alga Prymnesium parvum in West Texas: Journal of the American Water Resources Association, v. 51, no. 2, p. 487-501, https://doi.org/10.1111/jawr.12261.","productDescription":"15 p.","startPage":"487","endPage":"501","numberOfPages":"15","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-051549","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":302363,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"51","issue":"2","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationDate":"2014-11-11","publicationStatus":"PW","scienceBaseUri":"558e77bae4b0b6d21dd65970","contributors":{"authors":[{"text":"VanLandeghem, Matthew M.","contributorId":143728,"corporation":false,"usgs":false,"family":"VanLandeghem","given":"Matthew M.","affiliations":[],"preferred":false,"id":556944,"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":556945,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Southard, Greg M.","contributorId":143730,"corporation":false,"usgs":false,"family":"Southard","given":"Greg","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":556946,"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":556900,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70147976,"text":"70147976 - 2015 - A real-time, quantitative PCR protocol for assessing the relative parasitemia of Leucocytozoon in waterfowl","interactions":[],"lastModifiedDate":"2015-05-11T09:38:52","indexId":"70147976","displayToPublicDate":"2015-04-01T10:45:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2390,"text":"Journal of Microbiological Methods","active":true,"publicationSubtype":{"id":10}},"title":"A real-time, quantitative PCR protocol for assessing the relative parasitemia of Leucocytozoon in waterfowl","docAbstract":"Microscopic examination of blood smears can be effective at diagnosing and quantifying hematozoa infections. However, this method requires highly trained observers, is time consuming, and may be inaccurate for detection of infections at low levels of parasitemia. To develop a molecular methodology for identifying and quantifying Leucocytozoon parasite infection in wild waterfowl (Anseriformes), we designed a real-time, quantitative PCR protocol to amplify Leucocytozoon mitochondrial DNA using TaqMan fluorogenic probes and validated our methodology using blood samples collected from waterfowl in interior Alaska during late summer and autumn (n = 105). By comparing our qPCR results to those derived from a widely used nested PCR protocol, we determined that our assay showed high levels of sensitivity (91%) and specificity (100%) in detecting Leucocytozoon DNA from host blood samples. Additionally, results of a linear regression revealed significant correlation between the raw measure of parasitemia produced by our qPCR assay (Ct values) and numbers of parasites observed on blood smears (R2 = 0.694, P = 0.003), indicating that our assay can reliably determine the relative parasitemia levels among samples. This methodology provides a powerful new tool for studies assessing effects of haemosporidian infection in wild avian species.
","language":"English","publisher":"Elsevier","publisherLocation":"New York, NY","doi":"10.1016/j.mimet.2015.01.027","usgsCitation":"Smith, M.M., Schmutz, J.A., Apelgren, C., and Ramey, A.M., 2015, A real-time, quantitative PCR protocol for assessing the relative parasitemia of Leucocytozoon in waterfowl: Journal of Microbiological Methods, v. 111, p. 72-77, https://doi.org/10.1016/j.mimet.2015.01.027.","productDescription":"6 p.","startPage":"72","endPage":"77","numberOfPages":"6","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-061964","costCenters":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"links":[{"id":300266,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"111","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5551d2ade4b0a92fa7e93bce","chorus":{"doi":"10.1016/j.mimet.2015.01.027","url":"http://dx.doi.org/10.1016/j.mimet.2015.01.027","publisher":"Elsevier BV","authors":"Smith Matthew M., Schmutz Joel, Apelgren Chloe, Ramey Andrew M.","journalName":"Journal of Microbiological Methods","publicationDate":"4/2015","auditedOn":"3/9/2015"},"contributors":{"authors":[{"text":"Smith, Matthew M. 0000-0002-2259-5135 mmsmith@usgs.gov","orcid":"https://orcid.org/0000-0002-2259-5135","contributorId":5115,"corporation":false,"usgs":true,"family":"Smith","given":"Matthew","email":"mmsmith@usgs.gov","middleInitial":"M.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":546515,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Schmutz, Joel A. 0000-0002-6516-0836 jschmutz@usgs.gov","orcid":"https://orcid.org/0000-0002-6516-0836","contributorId":1805,"corporation":false,"usgs":true,"family":"Schmutz","given":"Joel","email":"jschmutz@usgs.gov","middleInitial":"A.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":546516,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Apelgren, Chloe","contributorId":140012,"corporation":false,"usgs":false,"family":"Apelgren","given":"Chloe","email":"","affiliations":[{"id":13356,"text":"University of Hawaii, Hawaii Cooperative Studies Unit","active":true,"usgs":false}],"preferred":false,"id":546557,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ramey, Andrew M. 0000-0002-3601-8400 aramey@usgs.gov","orcid":"https://orcid.org/0000-0002-3601-8400","contributorId":1872,"corporation":false,"usgs":true,"family":"Ramey","given":"Andrew","email":"aramey@usgs.gov","middleInitial":"M.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":546517,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70147066,"text":"70147066 - 2015 - Characterization of Missouri surface waters near point sources of pollution reveals potential novel atmospheric route of exposure for bisphenol A and wastewater hormonal activity pattern","interactions":[],"lastModifiedDate":"2018-08-10T09:48:38","indexId":"70147066","displayToPublicDate":"2015-04-01T10:30:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3352,"text":"Science of the Total Environment","active":true,"publicationSubtype":{"id":10}},"title":"Characterization of Missouri surface waters near point sources of pollution reveals potential novel atmospheric route of exposure for bisphenol A and wastewater hormonal activity pattern","docAbstract":"Surface water contamination by chemical pollutants increasingly threatens water quality around the world. Among the many contaminants found in surface water, there is growing concern regarding endocrine disrupting chemicals, based on their ability to interfere with some aspect of hormone action in exposed organisms, including humans. This study assessed water quality at several sites across Missouri (near wastewater treatment plants and airborne release sites of bisphenol A) based on hormone receptor activation potencies and chemical concentrationspresent in the surface water. We hypothesized that bisphenol A and ethinylestradiol would be greater in water near permitted airborne release sites and wastewater treatment plant inputs, respectively, and that these two compounds would be responsible for the majority of activities in receptor-based assays conducted with water collected near these sites. Concentrations of bisphenol A and ethinylestradiol were compared to observed receptor activities using authentic standards to assess contribution to total activities, and quantitation of a comprehensive set of wastewater compounds was performed to better characterize each site. Bisphenol A concentrations were found to be elevated in surface water near permitted airborne release sites, raising questions that airborne releases of BPA may influence nearby surface water contamination and may represent a previously underestimated source to the environment and potential for human exposure. Estrogen and androgen receptor activities of surface water samples were predictive of wastewater input, although the lower sensitivity of the ethinylestradiol ELISA relative to the very high sensitivity of the bioassay approaches did not allow a direct comparison. Wastewater-influenced sites also had elevated anti-estrogenic and anti-androgenic equivalence, while sites without wastewater discharges exhibited no antagonist activities.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.scitotenv.2015.04.013","usgsCitation":"Kassotis, C., Alvarez, D., Taylor, J.A., vom Saal, F., Nagel, S., and Tillitt, D.E., 2015, Characterization of Missouri surface waters near point sources of pollution reveals potential novel atmospheric route of exposure for bisphenol A and wastewater hormonal activity pattern: Science of the Total Environment, v. 524-525, p. 384-393, https://doi.org/10.1016/j.scitotenv.2015.04.013.","productDescription":"10 p.","startPage":"384","endPage":"393","numberOfPages":"10","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-063151","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true},{"id":34983,"text":"Contaminant Biology Program","active":true,"usgs":true}],"links":[{"id":299912,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"524-525","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5540af28e4b0a658d79392a3","contributors":{"authors":[{"text":"Kassotis, Christopher D.","contributorId":26967,"corporation":false,"usgs":true,"family":"Kassotis","given":"Christopher D.","affiliations":[],"preferred":false,"id":545610,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Alvarez, David A. dalvarez@usgs.gov","contributorId":139231,"corporation":false,"usgs":true,"family":"Alvarez","given":"David A.","email":"dalvarez@usgs.gov","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":false,"id":545611,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Taylor, Julia A.","contributorId":140428,"corporation":false,"usgs":false,"family":"Taylor","given":"Julia","email":"","middleInitial":"A.","affiliations":[{"id":13494,"text":"Division of Biological Sciences, University of Missouri, Columbia, MO","active":true,"usgs":false}],"preferred":false,"id":545612,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"vom Saal, Frederick S.","contributorId":17488,"corporation":false,"usgs":true,"family":"vom Saal","given":"Frederick S.","affiliations":[],"preferred":false,"id":545613,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Nagel, Susan C.","contributorId":56147,"corporation":false,"usgs":true,"family":"Nagel","given":"Susan C.","affiliations":[],"preferred":false,"id":545614,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Tillitt, Donald E. 0000-0002-8278-3955 dtillitt@usgs.gov","orcid":"https://orcid.org/0000-0002-8278-3955","contributorId":1875,"corporation":false,"usgs":true,"family":"Tillitt","given":"Donald","email":"dtillitt@usgs.gov","middleInitial":"E.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":545609,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70144855,"text":"sir20145209 - 2015 - The Everglades Depth Estimation Network (EDEN) surface-water model, version 2","interactions":[],"lastModifiedDate":"2015-04-01T09:14:54","indexId":"sir20145209","displayToPublicDate":"2015-04-01T10:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2014-5209","title":"The Everglades Depth Estimation Network (EDEN) surface-water model, version 2","docAbstract":"The Everglades Depth Estimation Network (EDEN) is an integrated network of water-level gages, interpolation models that generate daily water-level and water-depth data, and applications that compute derived hydrologic data across the freshwater part of the greater Everglades landscape. The U.S. Geological Survey Greater Everglades Priority Ecosystems Science provides support for EDEN in order for EDEN to provide quality-assured monitoring data for the U.S. Army Corps of Engineers Comprehensive Everglades Restoration Plan.
\nThe EDEN surface-water model, version 2 (V2), interpolates water-level data from a network of 240 gages to generate gridded daily water-level surfaces for the freshwater domain of the Everglades. When these spatiotemporal continuous surfaces are combined with EDEN’s digital elevation model of ground surface, derived hydrologic data provide scientists and water managers working in the Everglades with data necessary to analyze ecological and biotic responses to hydrologic changes in the Everglades. Derived datasets include water depth, recession rates, days since last dry, water-surface slopes, and hydroperiod. The V2 model includes enhancements from the previous model (version 1; V1) to accommodate changes in the water-level gage network, adjustments to water-level data, improved understanding of the flow dynamics (particularly near canals), and installation of an elevation benchmark network. Enhancements to the V2 model included
\nModel performance statistics show a general improvement in the V2 model as compared to the V1 model. Overall, the root mean squared error (RMSE) was reduced by 2.42 centimeters (cm) to 4.68 cm. In Water Conservation Area 3A North and Water Conservation Area 3B, the RMSE was reduced by 10.88 and 9.15 cm, respectively. In addition to evaluating model performance statistics, 2-cm water-level maps were generated and evaluated for irregular contours that would indicate a potential problem either with data input or water-level estimates.
\nThree applications of the EDEN-modeled water surfaces and other EDEN datasets are presented in the report to show how scientists and resource managers are using EDEN datasets to analyze biological and ecological responses to hydrologic changes in the Everglades. The biological responses of two important Everglades species, alligators and wading birds, to changes in hydrology are described. The effects of hydrology on fire dynamics in the Everglades are also discussed.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20145209","collaboration":"Prepared as part of the U.S. Geological Survey Greater Everglades Priority Ecosystem Science and in cooperation with the U.S. Army Corps of Engineers","usgsCitation":"Telis, P., Xie, Z., Liu, Z., Li, Y., and Conrads, P., 2015, The Everglades Depth Estimation Network (EDEN) surface-water model, version 2: U.S. Geological Survey Scientific Investigations Report 2014-5209, Report: viii, 42 p. ; 3 Appendices, https://doi.org/10.3133/sir20145209.","productDescription":"Report: viii, 42 p. ; 3 Appendices","numberOfPages":"54","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-050914","costCenters":[{"id":269,"text":"FLWSC-Ft. Lauderdale","active":true,"usgs":true}],"links":[{"id":299244,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20145209.jpg"},{"id":299239,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2014/5209/"},{"id":299240,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2014/5209/pdf/sir2014-5209.pdf","text":"Report","size":"27.2 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Report"},{"id":299241,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2014/5209/appendix/sir2014-5209_appendix1.xlsx","text":"Appendix 1","size":"58.3 KB","linkFileType":{"id":1,"text":"pdf"},"description":"Appendix 1","linkHelpText":"This is an electronic copy of Appendix 1. Water-level gages used to develop the EDEN surface-water model, version 2."},{"id":299242,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2014/5209/appendix/sir2014-5209_appendix2.xlsx","text":"Appendix 2","size":"14.3 KB","linkFileType":{"id":1,"text":"pdf"},"description":"Appendix 2","linkHelpText":"This is an electronic copy of Appendix 2. Network of benchmarks in greater Everglades used to evaluate EDEN surface-water model."},{"id":299243,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2014/5209/appendix/sir2014-5209_appendix3.xlsx","text":"Appendix 3","size":"39.6 KB","linkFileType":{"id":1,"text":"pdf"},"description":"Appendix 3","linkHelpText":"This is an electronic copy of Appendix 3. Water-level measurements at elevation benchmarks and differences between the modeled surfaces for the EDEN surface-water model, versions 1 and 2."}],"country":"United States","state":"Florida","otherGeospatial":"Everglades","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -81.93603515625,\n 25.12539261151203\n ],\n [\n -81.93603515625,\n 26.41155054662258\n ],\n [\n -80.00244140625,\n 26.41155054662258\n ],\n [\n -80.00244140625,\n 25.12539261151203\n ],\n [\n -81.93603515625,\n 25.12539261151203\n ]\n ]\n ]\n }\n }\n ]\n}","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"551d08a0e4b0256c24f42159","contributors":{"authors":[{"text":"Telis, Pamela A. patelis@usgs.gov","contributorId":140030,"corporation":false,"usgs":true,"family":"Telis","given":"Pamela A.","email":"patelis@usgs.gov","affiliations":[{"id":269,"text":"FLWSC-Ft. Lauderdale","active":true,"usgs":true}],"preferred":false,"id":543825,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Xie, Zhixiao","contributorId":40336,"corporation":false,"usgs":true,"family":"Xie","given":"Zhixiao","email":"","affiliations":[],"preferred":false,"id":543826,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Liu, Zhongwei","contributorId":34245,"corporation":false,"usgs":true,"family":"Liu","given":"Zhongwei","email":"","affiliations":[],"preferred":false,"id":543827,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Li, Yingru","contributorId":140031,"corporation":false,"usgs":false,"family":"Li","given":"Yingru","email":"","affiliations":[{"id":13360,"text":"Auburn University","active":true,"usgs":false}],"preferred":false,"id":543828,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Conrads, Paul 0000-0003-0408-4208 pconrads@usgs.gov","orcid":"https://orcid.org/0000-0003-0408-4208","contributorId":764,"corporation":false,"usgs":true,"family":"Conrads","given":"Paul","email":"pconrads@usgs.gov","affiliations":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true},{"id":559,"text":"South Carolina Water Science Center","active":true,"usgs":true}],"preferred":false,"id":543829,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70159878,"text":"70159878 - 2015 - Slab melting beneath the Cascades Arc driven by dehydration of altered oceanic peridotite","interactions":[],"lastModifiedDate":"2015-12-03T10:07:20","indexId":"70159878","displayToPublicDate":"2015-04-01T00:00:00","publicationYear":"2015","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":"Slab melting beneath the Cascades Arc driven by dehydration of altered oceanic peridotite","docAbstract":"Water is returned to Earth’s interior at subduction zones. However, the processes and pathways by which water leaves the subducting plate and causes melting beneath volcanic arcs are complex; the source of the water—subducting sediment, altered oceanic crust, or hydrated mantle in the downgoing plate—is debated; and the role of slab temperature is unclear. Here we analyse the hydrogen-isotope and trace-element signature of melt inclusions in ash samples from the Cascade Arc, where young, hot lithosphere subducts. Comparing these data with published analyses, we find that fluids in the Cascade magmas are sourced from deeper parts of the subducting slab—hydrated mantle peridotite in the slab interior—compared with fluids in magmas from the Marianas Arc, where older, colder lithosphere subducts. We use geodynamic modelling to show that, in the hotter subduction zone, the upper crust of the subducting slab rapidly dehydrates at shallow depths. With continued subduction, fluids released from the deeper plate interior migrate into the dehydrated parts, causing those to melt. These melts in turn migrate into the overlying mantle wedge, where they trigger further melting. Our results provide a physical model to explain melting of the subducted plate and mass transfer from the slab to the mantle beneath arcs where relatively young oceanic lithosphere is subducted.
","language":"English","publisher":"MacMillan Publishers Limited","doi":"10.1038/NGEO2417","usgsCitation":"Walowski, K., Wallace, P., Hauri, E., Wada, I., and Clynne, M.A., 2015, Slab melting beneath the Cascades Arc driven by dehydration of altered oceanic peridotite: Nature Geoscience, v. 8, p. 404-408, https://doi.org/10.1038/NGEO2417.","productDescription":"5 p.","startPage":"404","endPage":"408","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-057922","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":311851,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Cascade Arc","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -124.4091796875,\n 40.12849105685408\n ],\n [\n -124.4091796875,\n 47.29413372501023\n ],\n [\n -118.89404296875,\n 47.29413372501023\n ],\n [\n -118.89404296875,\n 40.12849105685408\n ],\n [\n -124.4091796875,\n 40.12849105685408\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"8","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2015-04-20","publicationStatus":"PW","scienceBaseUri":"566175e0e4b06a3ea36c56e8","contributors":{"authors":[{"text":"Walowski, Kristina J","contributorId":150156,"corporation":false,"usgs":false,"family":"Walowski","given":"Kristina J","affiliations":[{"id":6604,"text":"University of Oregon","active":true,"usgs":false}],"preferred":false,"id":580862,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wallace, Paul J.","contributorId":29308,"corporation":false,"usgs":true,"family":"Wallace","given":"Paul J.","affiliations":[],"preferred":false,"id":580863,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hauri, E.H.","contributorId":66009,"corporation":false,"usgs":true,"family":"Hauri","given":"E.H.","email":"","affiliations":[],"preferred":false,"id":580864,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wada, I.","contributorId":150157,"corporation":false,"usgs":false,"family":"Wada","given":"I.","email":"","affiliations":[{"id":17923,"text":"Tohoku University, Sendai, Japan","active":true,"usgs":false}],"preferred":false,"id":580865,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Clynne, Michael A. 0000-0002-4220-2968 mclynne@usgs.gov","orcid":"https://orcid.org/0000-0002-4220-2968","contributorId":2032,"corporation":false,"usgs":true,"family":"Clynne","given":"Michael","email":"mclynne@usgs.gov","middleInitial":"A.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":580861,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70191460,"text":"70191460 - 2015 - Predicting ecological responses of the Florida Everglades to possible future climate scenarios: Introduction","interactions":[],"lastModifiedDate":"2017-10-13T10:51:03","indexId":"70191460","displayToPublicDate":"2015-04-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1547,"text":"Environmental Management","active":true,"publicationSubtype":{"id":10}},"title":"Predicting ecological responses of the Florida Everglades to possible future climate scenarios: Introduction","docAbstract":"Florida’s Everglades stretch from the headwaters of the Kissimmee River near Orlando to Florida Bay. Under natural conditions in this flat landscape, water flowed slowly downstream as broad, shallow sheet flow. The ecosystem is markedly different now, altered by nutrient pollution and construction of canals, levees, and water control structures designed for flood control and water supply. These alterations have resulted in a 50 % reduction of the ecosystem’s spatial extent and significant changes in ecological function in the remaining portion. One of the world’s largest restoration programs is underway to restore some of the historic hydrologic and ecological functions of the Everglades, via a multi-billion dollar Comprehensive Everglades Restoration Plan. This plan, finalized in 2000, did not explicitly consider climate change effects, yet today we realize that sea level rise and future changes in rainfall (RF), temperature, and evapotranspiration (ET) may have system-wide impacts. This series of papers describes results of a workshop where a regional hydrologic model was used to simulate the hydrology expected in 2060 with climate changes including increased temperature, ET, and sea level, and either an increase or decrease in RF. Ecologists with expertise in various areas of the ecosystem evaluated the hydrologic outputs, drew conclusions about potential ecosystem responses, and identified research needs where projections of response had high uncertainty. Resource managers participated in the workshop, and they present lessons learned regarding how the new information might be used to guide Everglades restoration in the context of climate change.
","language":"English","publisher":"Springer","doi":"10.1007/s00267-014-0439-z","usgsCitation":"Aumen, N.G., Havens, K.E., Best, G.R., and Berry, L., 2015, Predicting ecological responses of the Florida Everglades to possible future climate scenarios: Introduction: Environmental Management, v. 55, no. 4, p. 741-748, https://doi.org/10.1007/s00267-014-0439-z.","productDescription":"8 p.","startPage":"741","endPage":"748","ipdsId":"IP-051181","costCenters":[{"id":5064,"text":"Southeast Regional Director's Office","active":true,"usgs":true}],"links":[{"id":346566,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Florida","otherGeospatial":"Florida Everglades ","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -82.69958496093749,\n 25.06569718553588\n ],\n [\n -79.903564453125,\n 25.06569718553588\n ],\n [\n -79.903564453125,\n 27.508271413876017\n ],\n [\n -82.69958496093749,\n 27.508271413876017\n ],\n [\n -82.69958496093749,\n 25.06569718553588\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"55","issue":"4","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationDate":"2015-03-06","publicationStatus":"PW","scienceBaseUri":"59e1d09ae4b05fe04cd117c0","contributors":{"authors":[{"text":"Aumen, Nicholas G. 0000-0002-5277-2630 naumen@usgs.gov","orcid":"https://orcid.org/0000-0002-5277-2630","contributorId":5418,"corporation":false,"usgs":true,"family":"Aumen","given":"Nicholas","email":"naumen@usgs.gov","middleInitial":"G.","affiliations":[{"id":5064,"text":"Southeast Regional Director's Office","active":true,"usgs":true},{"id":13415,"text":"Everglades National Park","active":true,"usgs":false}],"preferred":true,"id":712352,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Havens, Karl E","contributorId":197036,"corporation":false,"usgs":false,"family":"Havens","given":"Karl","email":"","middleInitial":"E","affiliations":[],"preferred":false,"id":712353,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Best, G. Ronnie ronnie_best@usgs.gov","contributorId":4282,"corporation":false,"usgs":true,"family":"Best","given":"G.","email":"ronnie_best@usgs.gov","middleInitial":"Ronnie","affiliations":[{"id":5064,"text":"Southeast Regional Director's Office","active":true,"usgs":true}],"preferred":true,"id":712354,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Berry, Leonard","contributorId":119091,"corporation":false,"usgs":true,"family":"Berry","given":"Leonard","email":"","affiliations":[],"preferred":false,"id":712355,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70176269,"text":"70176269 - 2015 - Expanding metal mixture toxicity models to natural stream and lake invertebrate communities","interactions":[],"lastModifiedDate":"2018-09-04T15:46:20","indexId":"70176269","displayToPublicDate":"2015-04-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1571,"text":"Environmental Toxicology and Chemistry","active":true,"publicationSubtype":{"id":10}},"title":"Expanding metal mixture toxicity models to natural stream and lake invertebrate communities","docAbstract":"A modeling approach that was used to predict the toxicity of dissolved single and multiple metals to trout is extended to stream benthic macroinvertebrates, freshwater zooplankton, and Daphnia magna. The approach predicts the accumulation of toxicants (H, Al, Cd, Cu, Ni, Pb, and Zn) in organisms using 3 equilibrium accumulation models that define interactions between dissolved cations and biological receptors (biotic ligands). These models differ in the structure of the receptors and include a 2-site biotic ligand model, a bidentate biotic ligand or 2-pKa model, and a humic acid model. The predicted accumulation of toxicants is weighted using toxicant-specific coefficients and incorporated into a toxicity function called Tox, which is then related to observed mortality or invertebrate community richness using a logistic equation. All accumulation models provide reasonable fits to metal concentrations in tissue samples of stream invertebrates. Despite the good fits, distinct differences in the magnitude of toxicant accumulation and biotic ligand speciation exist among the models for a given solution composition. However, predicted biological responses are similar among the models because there are interdependencies among model parameters in the accumulation–Tox models. To illustrate potential applications of the approaches, the 3 accumulation–Tox models for natural stream invertebrates are used in Monte Carlo simulations to predict the probability of adverse impacts in catchments of differing geology in central Colorado (USA); to link geology, water chemistry, and biological response; and to demonstrate how this approach can be used to screen for potential risks associated with resource development.
","language":"English","publisher":"Wiley","doi":"10.1002/etc.2824","usgsCitation":"Balistrieri, L.S., Mebane, C.A., Schmidt, T., and Keller, W., 2015, Expanding metal mixture toxicity models to natural stream and lake invertebrate communities: Environmental Toxicology and Chemistry, v. 34, no. 4, p. 761-776, https://doi.org/10.1002/etc.2824.","productDescription":"6 p.","startPage":"761","endPage":"776","ipdsId":"IP-052806","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true},{"id":34983,"text":"Contaminant Biology Program","active":true,"usgs":true}],"links":[{"id":328301,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"34","issue":"4","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2014-12-05","publicationStatus":"PW","scienceBaseUri":"57d13a3be4b0571647cf8dd1","chorus":{"doi":"10.1002/etc.2824","url":"http://dx.doi.org/10.1002/etc.2824","publisher":"Wiley-Blackwell","authors":"Balistrieri Laurie S., Mebane Christopher A., Schmidt Travis S., Keller Wendel Bill","journalName":"Environmental Toxicology and Chemistry","publicationDate":"3/11/2015","auditedOn":"1/11/2015"},"contributors":{"authors":[{"text":"Balistrieri, Laurie S. 0000-0002-6359-3849 balistri@usgs.gov","orcid":"https://orcid.org/0000-0002-6359-3849","contributorId":1406,"corporation":false,"usgs":true,"family":"Balistrieri","given":"Laurie","email":"balistri@usgs.gov","middleInitial":"S.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true},{"id":662,"text":"Western Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":648140,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mebane, Christopher A. 0000-0002-9089-0267 cmebane@usgs.gov","orcid":"https://orcid.org/0000-0002-9089-0267","contributorId":110,"corporation":false,"usgs":true,"family":"Mebane","given":"Christopher","email":"cmebane@usgs.gov","middleInitial":"A.","affiliations":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"preferred":true,"id":648141,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Schmidt, Travis S. 0000-0003-1400-0637 tschmidt@usgs.gov","orcid":"https://orcid.org/0000-0003-1400-0637","contributorId":1300,"corporation":false,"usgs":true,"family":"Schmidt","given":"Travis S.","email":"tschmidt@usgs.gov","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":685,"text":"Wyoming-Montana Water Science Center","active":false,"usgs":true},{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true},{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":648142,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Keller, William (Bill)","contributorId":174373,"corporation":false,"usgs":false,"family":"Keller","given":"William (Bill)","affiliations":[{"id":27441,"text":"Cooperative Freshwater Ecology Unit, Laurentian University, Sudbury, Ontario, Canada","active":true,"usgs":false}],"preferred":false,"id":648143,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70194175,"text":"70194175 - 2015 - Evaluating physical habitat and water chemistry data from statewide stream monitoring programs to establish least-impacted conditions in Washington State","interactions":[],"lastModifiedDate":"2017-12-18T10:48:30","indexId":"70194175","displayToPublicDate":"2015-04-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":2,"text":"State or Local Government Series"},"title":"Evaluating physical habitat and water chemistry data from statewide stream monitoring programs to establish least-impacted conditions in Washington State","docAbstract":"Various GIS-generated land-use predictor variables, physical habitat metrics, and water chemistry variables from 75 reference streams and 351 randomly sampled sites throughout Washington State were evaluated for effectiveness at discriminating reference from random sites within level III ecoregions. A combination of multivariate clustering and ordination techniques were used.
We describe average observed conditions for a subset of predictor variables as well as proposing statistical criteria for establishing reference conditions for stream habitat in Washington. Using these criteria, we determined whether any of the random sites met expectations for reference condition and whether any of the established reference sites failed to meet expectations for reference condition. Establishing these criteria will set a benchmark from which future data will be compared.
The ability of biogeochemical ecosystem models to represent agro-ecosystems depends on their correct integration with field observations. We report simultaneous calibration of 67 DayCent model parameters using multiple observation types through inverse modeling using the PEST parameter estimation software. Parameter estimation reduced the total sum of weighted squared residuals by 56% and improved model fit to crop productivity, soil carbon, volumetric soil water content, soil temperature, N2O, and soil3NO− compared to the default simulation. Inverse modeling substantially reduced predictive model error relative to the default model for all model predictions, except for soil 3NO− and 4NH+. Post-processing analyses provided insights into parameter–observation relationships based on parameter correlations, sensitivity and identifiability. Inverse modeling tools are shown to be a powerful way to systematize and accelerate the process of biogeochemical model interrogation, improving our understanding of model function and the underlying ecosystem biogeochemical processes that they represent.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.envsoft.2014.12.011","usgsCitation":"Necpalova, M., Anex, R.P., Fienen, M., Del Grosso, S.J., Castellano, M.J., Sawyer, J.E., Iqbal, J., Pantoja, J.L., and Barker, D.W., 2015, Understanding the Day Cent model: Calibration, sensitivity, and identifiability through inverse modeling: Environmental Modelling and Software, v. 66, p. 110-130, https://doi.org/10.1016/j.envsoft.2014.12.011.","productDescription":"21 p.","startPage":"110","endPage":"130","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-061436","costCenters":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"links":[{"id":472172,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.envsoft.2014.12.011","text":"Publisher Index Page"},{"id":305576,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"66","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57f7ef48e4b0bc0bec09f011","contributors":{"authors":[{"text":"Necpalova, Magdalena","contributorId":145476,"corporation":false,"usgs":false,"family":"Necpalova","given":"Magdalena","email":"","affiliations":[{"id":16128,"text":"Department of Biological System Engineering, University of Wisconsin—Madison, Madison, WI, USA","active":true,"usgs":false}],"preferred":false,"id":564153,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Anex, Robert P.","contributorId":101198,"corporation":false,"usgs":true,"family":"Anex","given":"Robert","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":564154,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fienen, Michael N. 0000-0002-7756-4651 mnfienen@usgs.gov","orcid":"https://orcid.org/0000-0002-7756-4651","contributorId":893,"corporation":false,"usgs":true,"family":"Fienen","given":"Michael N.","email":"mnfienen@usgs.gov","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":false,"id":564152,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Del Grosso, Stephen J.","contributorId":145477,"corporation":false,"usgs":false,"family":"Del Grosso","given":"Stephen","email":"","middleInitial":"J.","affiliations":[{"id":16129,"text":"Natural Resource Ecology Laboratory, Colorado State University, Fort Collins, CO, USA","active":true,"usgs":false}],"preferred":false,"id":564155,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Castellano, Michael J.","contributorId":145478,"corporation":false,"usgs":false,"family":"Castellano","given":"Michael","email":"","middleInitial":"J.","affiliations":[{"id":16130,"text":"Dept. of Agronomy, Iowa State University, Ames, IA, USA","active":true,"usgs":false}],"preferred":false,"id":564156,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Sawyer, John E.","contributorId":145479,"corporation":false,"usgs":false,"family":"Sawyer","given":"John","email":"","middleInitial":"E.","affiliations":[{"id":16130,"text":"Dept. of Agronomy, Iowa State University, Ames, IA, USA","active":true,"usgs":false}],"preferred":false,"id":564157,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Iqbal, Javed","contributorId":145480,"corporation":false,"usgs":false,"family":"Iqbal","given":"Javed","email":"","affiliations":[{"id":16130,"text":"Dept. of Agronomy, Iowa State University, Ames, IA, USA","active":true,"usgs":false}],"preferred":false,"id":564158,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Pantoja, Jose L.","contributorId":145481,"corporation":false,"usgs":false,"family":"Pantoja","given":"Jose","email":"","middleInitial":"L.","affiliations":[{"id":16130,"text":"Dept. of Agronomy, Iowa State University, Ames, IA, USA","active":true,"usgs":false}],"preferred":false,"id":564159,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Barker, Daniel W.","contributorId":145482,"corporation":false,"usgs":false,"family":"Barker","given":"Daniel","email":"","middleInitial":"W.","affiliations":[{"id":16130,"text":"Dept. of Agronomy, Iowa State University, Ames, IA, USA","active":true,"usgs":false}],"preferred":false,"id":564160,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70159322,"text":"70159322 - 2015 - Diverse juvenile life-history behaviours contribute to the spawning stock of an anadromous fish population","interactions":[],"lastModifiedDate":"2015-10-22T10:09:16","indexId":"70159322","displayToPublicDate":"2015-04-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1471,"text":"Ecology of Freshwater Fish","active":true,"publicationSubtype":{"id":10}},"title":"Diverse juvenile life-history behaviours contribute to the spawning stock of an anadromous fish population","docAbstract":"Habitat quality often varies substantially across space and time, producing a shifting mosaic of growth and mortality trade-offs across watersheds. Traditional studies of juvenile habitat use have emphasised the evolution of single optimal strategies that maximise recruitment to adulthood and eventual fitness. However, linking the distribution of individual behaviours that contribute to recruitment at the population level has been elusive, particularly for highly fecund aquatic organisms. We examined juvenile habitat use within a population of sockeye salmon (Oncorhynchus nerka) that spawn in a watershed consisting of two interconnected lakes and a marine lagoon. Otolith microchemical analysis revealed that the productive headwater lake accounted for about half of juvenile growth for those individuals surviving to spawn in a single river in the upper watershed. However, 47% of adults had achieved more than half of their juvenile growth in the downstream less productive lake, and 3% of individuals migrated to the estuarine environment during their first summer and returned to freshwater to overwinter before migrating back to sea. These results describe a diversity of viable habitat-use strategies by juvenile sockeye salmon that may buffer the population against poor conditions in any single rearing environment, reduce density-dependent mortality and have implications for the designation of critical habitat for conservation purposes. A network of accessible alternative habitats providing trade-offs in growth and survival may be important for long-term viability of populations.
","language":"English","publisher":"Wiley","doi":"10.1111/eff.12135","usgsCitation":"Walsworth, T.E., Schindler, D.E., Griffiths, J.R., and Zimmerman, C.E., 2015, Diverse juvenile life-history behaviours contribute to the spawning stock of an anadromous fish population: Ecology of Freshwater Fish, v. 24, p. 204-213, https://doi.org/10.1111/eff.12135.","productDescription":"10 p.","startPage":"204","endPage":"213","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-051242","costCenters":[{"id":118,"text":"Alaska Science Center Geography","active":true,"usgs":true}],"links":[{"id":310362,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Chignik Lake system","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -159.1094970703125,\n 56.22579478256016\n ],\n [\n -159.1094970703125,\n 56.49813356805866\n ],\n [\n -158.4132385253906,\n 56.49813356805866\n ],\n [\n -158.4132385253906,\n 56.22579478256016\n ],\n [\n -159.1094970703125,\n 56.22579478256016\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"24","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2014-05-03","publicationStatus":"PW","scienceBaseUri":"562a08bae4b011227bf1fd47","contributors":{"authors":[{"text":"Walsworth, Timothy E.","contributorId":149336,"corporation":false,"usgs":false,"family":"Walsworth","given":"Timothy","email":"","middleInitial":"E.","affiliations":[{"id":13190,"text":"School of Aquatic and Fishery Sciences, University of Washington","active":true,"usgs":false}],"preferred":false,"id":578009,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Schindler, Daniel E.","contributorId":83485,"corporation":false,"usgs":true,"family":"Schindler","given":"Daniel","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":578010,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Griffiths, Jennifer R.","contributorId":149337,"corporation":false,"usgs":false,"family":"Griffiths","given":"Jennifer","email":"","middleInitial":"R.","affiliations":[{"id":13190,"text":"School of Aquatic and Fishery Sciences, University of Washington","active":true,"usgs":false}],"preferred":false,"id":578011,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Zimmerman, Christian E. 0000-0002-3646-0688 czimmerman@usgs.gov","orcid":"https://orcid.org/0000-0002-3646-0688","contributorId":410,"corporation":false,"usgs":true,"family":"Zimmerman","given":"Christian","email":"czimmerman@usgs.gov","middleInitial":"E.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true},{"id":120,"text":"Alaska Science Center Water","active":true,"usgs":true}],"preferred":true,"id":578008,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70145802,"text":"70145802 - 2015 - California’s water: The Sacramento-San Joaquin Delta","interactions":[],"lastModifiedDate":"2016-07-13T10:37:33","indexId":"70145802","displayToPublicDate":"2015-04-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":9,"text":"Other Report"},"title":"California’s water: The Sacramento-San Joaquin Delta","docAbstract":"The Delta is the deteriorating, fragile hub of California’s water supply system. Critical decisions about its future are pending.
\nThis publication is part of a briefing kit that highlights the state’s most pressing water management issues in nine key areas:
\nClimate change and water
Managing droughts
Paying for water
Preparing for floods
The Sacramento-San Joaquin Delta
Storing water
Water for cities
Water for the environment
Water for farms
A suite of analytical tools was applied to thoroughly analyze the chemical composition of an oil/gas well flowback water from the Denver–Julesburg (DJ) basin in Colorado, and the water quality data was translated to propose effective treatment solutions tailored to specific reuse goals. Analysis included bulk quality parameters, trace organic and inorganic constituents, and organic matter characterization. The flowback sample contained salts (TDS = 22,500 mg/L), metals (e.g., iron at 81.4 mg/L) and high concentration of dissolved organic matter (DOC = 590 mgC/L). The organic matter comprised fracturing fluid additives such as surfactants (e.g., linear alkyl ethoxylates) and high levels of acetic acid (an additives' degradation product), indicating the anthropogenic impact on this wastewater. Based on the water quality results and preliminary treatability tests, the removal of suspended solids and iron by aeration/precipitation (and/or filtration) followed by disinfection was identified as appropriate for flowback recycling in future fracturing operations. In addition to these treatments, a biological treatment (to remove dissolved organic matter) followed by reverse osmosis desalination was determined to be necessary to attain water quality standards appropriate for other water reuse options (e.g., crop irrigation). The study provides a framework for evaluating site-specific hydraulic fracturing wastewaters, proposing a suite of analytical methods for characterization, and a process for guiding the choice of a tailored treatment approach.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.scitotenv.2015.01.043","usgsCitation":"Lester, Y., Ferrer, I., Thurman, E.M., Sitterley, K.A., Korak, J.A., Aiken, G.R., and Linden, K.G., 2015, Characterization of hydraulic fracturing flowback water in Colorado: Implications for water treatment: Science of the Total Environment, v. 512-513, p. 637-644, https://doi.org/10.1016/j.scitotenv.2015.01.043.","productDescription":"8 p.","startPage":"637","endPage":"644","ipdsId":"IP-062886","costCenters":[{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"links":[{"id":343870,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Colorado","volume":"512-513","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5969d82de4b0d1f9f060a1a1","contributors":{"authors":[{"text":"Lester, Yaal","contributorId":194687,"corporation":false,"usgs":false,"family":"Lester","given":"Yaal","email":"","affiliations":[],"preferred":false,"id":705041,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ferrer, Imma","contributorId":68606,"corporation":false,"usgs":true,"family":"Ferrer","given":"Imma","affiliations":[],"preferred":false,"id":705042,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Thurman, E. Michael","contributorId":9636,"corporation":false,"usgs":true,"family":"Thurman","given":"E.","email":"","middleInitial":"Michael","affiliations":[],"preferred":false,"id":705043,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Sitterley, Kurban A.","contributorId":194688,"corporation":false,"usgs":false,"family":"Sitterley","given":"Kurban","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":705044,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Korak, Julie A.","contributorId":194689,"corporation":false,"usgs":false,"family":"Korak","given":"Julie","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":705045,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Aiken, George R. 0000-0001-8454-0984 graiken@usgs.gov","orcid":"https://orcid.org/0000-0001-8454-0984","contributorId":1322,"corporation":false,"usgs":true,"family":"Aiken","given":"George","email":"graiken@usgs.gov","middleInitial":"R.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":705046,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Linden, Karl G.","contributorId":194690,"corporation":false,"usgs":false,"family":"Linden","given":"Karl","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":705047,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70191849,"text":"70191849 - 2015 - Landowner perceptions of three types of boating in the Saranac Lakes area of New York State׳s Adirondack Park","interactions":[],"lastModifiedDate":"2017-10-18T14:26:22","indexId":"70191849","displayToPublicDate":"2015-04-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5520,"text":"Journal of Outdoor Recreation and Tourism","active":true,"publicationSubtype":{"id":10}},"title":"Landowner perceptions of three types of boating in the Saranac Lakes area of New York State׳s Adirondack Park","docAbstract":"In order for natural resource managers to better understand conflicting landowner perspectives related to non-motorized, motorized, and personal watercraft use, this study examines the demographic and experiential characteristics, values, attitudes, and beliefs of landowners in the Saranac Lakes area of the Adirondack Park in New York State. A mixed-methods approach, composed of 20 in-depth interviews with land managers and a mail survey of 1000 landowners, was used. Three path analyses were completed, one for each type of boat use. Results indicate that resource-related values influence beliefs and attitudes related to boat use, supporting the cognitive hierarchy model of human behavior (Fulton, D. C., Manfredo, M. J., & Lipscomb, J. (1996). Wildlife value orientations: a conceptual and measurement approach. Human Dimensions of Wildlife, 1, 24–47). In addition, length of residence in the area, past participation in non-motorized and motorized boating, age, and education were found to influence attitudes towards certain types of boating. The results of this study can be used by natural resource managers to identify management strategies that better address the values and recreational interests of landowners.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.jort.2015.04.003","usgsCitation":"Kuehn, D., Schuster, R., and Nordman, E., 2015, Landowner perceptions of three types of boating in the Saranac Lakes area of New York State׳s Adirondack Park: Journal of Outdoor Recreation and Tourism, v. 9, p. 53-63, https://doi.org/10.1016/j.jort.2015.04.003.","productDescription":"11 p.","startPage":"53","endPage":"63","ipdsId":"IP-056174","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":346882,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"New York","otherGeospatial":"Adirondack Park, Saranac Lakes area","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -74.41864013671875,\n 44.201897151875094\n ],\n [\n -74.0643310546875,\n 44.201897151875094\n ],\n [\n -74.0643310546875,\n 44.38325649413712\n ],\n [\n -74.41864013671875,\n 44.38325649413712\n ],\n [\n -74.41864013671875,\n 44.201897151875094\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"9","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59e8683ce4b05fe04cd4d23d","contributors":{"authors":[{"text":"Kuehn, Diane","contributorId":172900,"corporation":false,"usgs":false,"family":"Kuehn","given":"Diane","email":"","affiliations":[],"preferred":false,"id":713374,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Schuster, Rudy 0000-0003-2353-8500 schusterr@usgs.gov","orcid":"https://orcid.org/0000-0003-2353-8500","contributorId":3119,"corporation":false,"usgs":true,"family":"Schuster","given":"Rudy","email":"schusterr@usgs.gov","affiliations":[],"preferred":true,"id":713373,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Nordman, Erik","contributorId":197382,"corporation":false,"usgs":false,"family":"Nordman","given":"Erik","email":"","affiliations":[],"preferred":false,"id":713375,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70128708,"text":"70128708 - 2015 - Using stable isotopes of carbon to investigate the seasonal variation of carbon transfer in a northwestern Arkansas cave","interactions":[],"lastModifiedDate":"2016-07-08T14:42:20","indexId":"70128708","displayToPublicDate":"2015-04-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2201,"text":"Journal of Cave and Karst Studies","active":true,"publicationSubtype":{"id":10}},"title":"Using stable isotopes of carbon to investigate the seasonal variation of carbon transfer in a northwestern Arkansas cave","docAbstract":"Stable-isotope analyses are valuable in karst settings, where characterizing biogeochemical cycling of carbon along groundwater flow paths is critical for understanding and protecting sensitive cave and karst water resources. This study quantified the seasonal changes in concentration and isotopic composition (δ13C) of aqueous and gaseous carbon species—dissolved inorganic carbon (DIC) and gaseous carbon dioxide (CO2)—to characterize sources and transfer of these species along a karst flow path, with emphasis on a cave environment. Gas and water samples were collected from the soil and a cave in northwestern Arkansas approximately once a month for one year to characterize carbon cycling along a conceptual groundwater flow path. In the soil, as the DIC concentration increased, the isotopic composition of the DIC became relatively lighter, indicating an organic carbon source for a component of the DIC and corroborating soil DIC as a proxy for soil respiration. In the cave, a positive correlation between DIC and surface temperature was due to increased soil respiration as the organic carbon signal from the soil was transferred to the cave environment via the aqueous phase. CO2 concentration was lowest in the cave during colder months and increased exponentially with increasing surface temperature, presumably due to higher rates of soil respiration during warmer periods and changing ventilation patterns between the surface and cave atmosphere. Isotopic disequilibrium between CO2 and DIC in the cave was greatest when CO2 concentration was changing during November/ December and March/April, presumably due to the rapid addition or removal of gaseous CO2. The isotopic disequilibrium between DIC and CO2 provided evidence that cave CO2 was a mixture of carbon from several sources, which was mostly constrained by mixture between atmospheric CO2 and soil CO2. The concentration and isotopic composition of gaseous and aqueous carbon species were controlled by month-to-month variations in temperature and precipitation and provided insight into the sources of carbon in the cave. Stable carbon isotope ratios provided an effective tool to explore carbon transfer from the soil zone and into the cave, identify carbon sources in the cave, and investigate how seasonality affected the transfer of carbon in a shallow karst system.
","language":"English","publisher":"National Speleological Society","doi":"10.4311/2011ES0264","usgsCitation":"Knierim, K., Pollock, E., Hays, P.D., and Khojasteh, J., 2015, Using stable isotopes of carbon to investigate the seasonal variation of carbon transfer in a northwestern Arkansas cave: Journal of Cave and Karst Studies, v. 77, no. 1, p. 12-27, https://doi.org/10.4311/2011ES0264.","productDescription":"16 p.","startPage":"12","endPage":"27","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-060256","costCenters":[{"id":129,"text":"Arkansas Water Science Center","active":true,"usgs":true}],"links":[{"id":472176,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.4311/2011es0264","text":"Publisher Index Page"},{"id":324944,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"77","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5780cec2e4b08116168223fb","contributors":{"authors":[{"text":"Knierim, Katherine J. kknierim@usgs.gov","contributorId":5991,"corporation":false,"usgs":true,"family":"Knierim","given":"Katherine J.","email":"kknierim@usgs.gov","affiliations":[{"id":129,"text":"Arkansas Water Science Center","active":true,"usgs":true},{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"preferred":false,"id":519750,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pollock, Erik","contributorId":146296,"corporation":false,"usgs":false,"family":"Pollock","given":"Erik","affiliations":[],"preferred":false,"id":641975,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hays, Phillip D. 0000-0001-5491-9272 pdhays@usgs.gov","orcid":"https://orcid.org/0000-0001-5491-9272","contributorId":4145,"corporation":false,"usgs":true,"family":"Hays","given":"Phillip","email":"pdhays@usgs.gov","middleInitial":"D.","affiliations":[{"id":129,"text":"Arkansas Water Science Center","active":true,"usgs":true},{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true},{"id":369,"text":"Louisiana Water Science Center","active":true,"usgs":true}],"preferred":true,"id":641976,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Khojasteh, Jam","contributorId":172772,"corporation":false,"usgs":false,"family":"Khojasteh","given":"Jam","email":"","affiliations":[],"preferred":false,"id":641977,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70192864,"text":"70192864 - 2015 - Masked expression of life-history traits in a highly variable environment","interactions":[],"lastModifiedDate":"2017-11-08T11:23:01","indexId":"70192864","displayToPublicDate":"2015-04-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1859,"text":"Great Plains Research","active":true,"publicationSubtype":{"id":10}},"title":"Masked expression of life-history traits in a highly variable environment","docAbstract":"Differing life-history strategies may act as a constraint on reproductive expression that ultimately limits the ability of individual species to respond to changes in the magnitude or frequency of environmental variation, and potentially underlies the variation often inherent in phenotypic and evolved responses to anthropogenic change. Alternatively, if there are environmental cues that predict reproductive potential, differential expression of life-history strategies may represent differences in the adaptive capacity to optimize current reproductive value given variation in environmental conditions. We compared several aspects of walleye Sander vitreus spawning ecology at two reservoirs that differ in environmental variability (i.e., annual water-level fluctuation) to identify the capacity of phenotypic expression and the corresponding association with age. Despite significant differences in female body and liver masses between reservoirs that differ in environmental variability, we found no difference in reproductive investment measured by egg size and fecundity. Walleye in a highly variable environment appear to exhibit reproductive traits more typical of a short-lived life-history strategy, which may be resultant from the interaction of environmental and anthropogenic pressures. This finding emphasizes the need to identify the degree to which life-history expression represents physiological constraints versus ecological optimization, particularly as anthropogenic change continues to alter environmental conditions.
Sediment fingerprinting quantifies the delivery of fine-grained sediment from a watershed and sediment-budget measurements quantify the erosion and deposition of fine-grained sediment. Both approaches were used in the agricultural and forested 147-square-kilometer (km2) Linganore Creek watershed in Maryland from August 1, 2008 through December 31, 2010, to determine the sources of fine-grained (less than 63 microns) sediment, and the amount of fine-grained sediment eroded from and deposited on streambanks, flood plains, channel beds, and agricultural and forested uplands. Sediment-weighted results of sediment fingerprinting for 194 suspended-sediment samples collected during 36 storms indicate that streambanks contributed 52 percent of the annual fine-grained suspended-sediment load, agriculture (cropland and pasture) contributed 45 percent, and forests contributed 3 percent. Fifty-four percent of the Linganore Creek watershed is agriculture and 27 percent is forest.
\nSediment-budget calculations were based on field measurements and photogrammetric analyses and indicated that the highest percentage of fine-grained sediment was eroded from agriculture (86 percent), followed by streambanks (10 percent), forests (3 percent), and the channel bed (less than 1 percent). Results of the sediment budget indicated that the highest percentage of fine-grained sediment was stored in ponds (57 percent), followed by flood plains (32 percent), streambanks (6 percent), and the channel bed (5 percent). Typical of most sediment budgets, the final sediment budget indicated erosion of 4.70 x 107kilograms per year (kg/yr), which is higher than the fine-grained suspended-sediment load leaving the watershed (5.45 x 106kg/yr). The differences in the sediment budget and the measured mass leaving the watershed could be due to an overestimation of erosion using the Cesium-137 method and (or) not adequately defining and measuring storage areas.
\nManagement implications of this study indicate that both agriculture and streambanks are important sources of sediment in Linganore Creek where the delivery of agriculture sediment was 4 percent and the delivery of streambank sediment was 44 percent. Fourth order streambanks, on average, had the highest rates of bank erosion. Combining the sediment fingerprinting and sediment budget results indicates that 96 percent of the eroded fine-grained sediment from agriculture went into storage. Flood plains and ponds are effective storage sites of sediment in the Linganore Creek watershed. Flood plains stored 8 percent of all eroded sediment with 4th and 5th order flood plains, on average, storing the most sediment. Small ponds in the Linganore Creek watershed, which drained 16 percent of the total watershed area, stored 15 percent of all eroded sediment. Channel beds were relatively stable with the greatest erosion generally occurring in 4th and 5th order streams.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20145147","collaboration":"Prepared in cooperation with Frederick County, Maryland","usgsCitation":"Gellis, A., Noe, G., Clune, J.W., Myers, M., Hupp, C.R., Schenk, E.R., and Schwarz, G., 2015, Sources of fine-grained sediment in the Linganore Creek watershed, Frederick and Carroll Counties, Maryland, 2008-10: U.S. Geological Survey Scientific Investigations Report 2014-5147, Report: vii, 56 p.; Appendix, https://doi.org/10.3133/sir20145147.","productDescription":"Report: vii, 56 p.; Appendix","numberOfPages":"68","onlineOnly":"Y","additionalOnlineFiles":"Y","temporalStart":"2008-01-01","temporalEnd":"2010-12-31","ipdsId":"IP-055863","costCenters":[{"id":374,"text":"Maryland Water Science Center","active":true,"usgs":true}],"links":[{"id":299230,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20145147.jpg"},{"id":299229,"rank":4,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2014/5147/appendix/sir2014-5147_appendices1-13-micron.xlsx","text":"Appendix 1-13","size":"295 KB","linkFileType":{"id":3,"text":"xlsx"}},{"id":299227,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2014/5147/"},{"id":299228,"rank":3,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2014/5147/pdf/sir2014-5147.pdf","size":"3.88 MB","linkFileType":{"id":1,"text":"pdf"}}],"datum":"North American Datum of 1983","country":"United States","state":"Maryland","county":"Carroll County, Frederick County","otherGeospatial":"Linganore Creek Watershed","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -77.2998046875,\n 39.36668662525674\n ],\n [\n -77.2998046875,\n 39.534232843612585\n ],\n [\n -77.0529556274414,\n 39.534232843612585\n ],\n [\n -77.0529556274414,\n 39.36668662525674\n ],\n [\n -77.2998046875,\n 39.36668662525674\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"551bb71ce4b0323842783a30","contributors":{"authors":[{"text":"Gellis, Allen C. 0000-0002-3449-2889 agellis@usgs.gov","orcid":"https://orcid.org/0000-0002-3449-2889","contributorId":1709,"corporation":false,"usgs":true,"family":"Gellis","given":"Allen C.","email":"agellis@usgs.gov","affiliations":[{"id":375,"text":"Maryland, Delaware, and the District of Columbia Water Science Center","active":false,"usgs":true}],"preferred":false,"id":519728,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Noe, Gregory B. 0000-0002-6661-2646 gnoe@usgs.gov","orcid":"https://orcid.org/0000-0002-6661-2646","contributorId":2332,"corporation":false,"usgs":true,"family":"Noe","given":"Gregory","email":"gnoe@usgs.gov","middleInitial":"B.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":false,"id":543802,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Clune, John W. 0000-0002-3563-1975 jclune@usgs.gov","orcid":"https://orcid.org/0000-0002-3563-1975","contributorId":864,"corporation":false,"usgs":true,"family":"Clune","given":"John","email":"jclune@usgs.gov","middleInitial":"W.","affiliations":[{"id":532,"text":"Pennsylvania Water Science Center","active":true,"usgs":true}],"preferred":false,"id":519727,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Myers, Michael K. mkmyers@usgs.gov","contributorId":5160,"corporation":false,"usgs":true,"family":"Myers","given":"Michael K.","email":"mkmyers@usgs.gov","affiliations":[{"id":375,"text":"Maryland, Delaware, and the District of Columbia Water Science Center","active":false,"usgs":true}],"preferred":false,"id":519730,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hupp, Cliff R. 0000-0003-1853-9197 crhupp@usgs.gov","orcid":"https://orcid.org/0000-0003-1853-9197","contributorId":2344,"corporation":false,"usgs":true,"family":"Hupp","given":"Cliff","email":"crhupp@usgs.gov","middleInitial":"R.","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":519729,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Schenk, Edward R. 0000-0001-6886-5754 eschenk@usgs.gov","orcid":"https://orcid.org/0000-0001-6886-5754","contributorId":2183,"corporation":false,"usgs":true,"family":"Schenk","given":"Edward","email":"eschenk@usgs.gov","middleInitial":"R.","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":543803,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Schwarz, Gregory E. 0000-0002-9239-4566 gschwarz@usgs.gov","orcid":"https://orcid.org/0000-0002-9239-4566","contributorId":543,"corporation":false,"usgs":true,"family":"Schwarz","given":"Gregory E.","email":"gschwarz@usgs.gov","affiliations":[{"id":5067,"text":"Northeast Regional Director's Office","active":true,"usgs":true},{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true}],"preferred":false,"id":519726,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70169232,"text":"70169232 - 2015 - A pan-Arctic synthesis of CH4 and CO2 production from anoxic soil incubations","interactions":[],"lastModifiedDate":"2016-03-24T13:36:03","indexId":"70169232","displayToPublicDate":"2015-03-31T14:30:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1837,"text":"Global Change Biology","active":true,"publicationSubtype":{"id":10}},"title":"A pan-Arctic synthesis of CH4 and CO2 production from anoxic soil incubations","docAbstract":"Permafrost thaw can alter the soil environment through changes in soil moisture, frequently resulting in soil saturation, a shift to anaerobic decomposition, and changes in the plant community. These changes, along with thawing of previously frozen organic material, can alter the form and magnitude of greenhouse gas production from permafrost ecosystems. We synthesized existing methane (CH4) and carbon dioxide (CO2) production measurements from anaerobic incubations of boreal and tundra soils from the geographic permafrost region to evaluate large-scale controls of anaerobic CO2 and CH4 production and compare the relative importance of landscape-level factors (e.g., vegetation type and landscape position), soil properties (e.g., pH, depth, and soil type), and soil environmental conditions (e.g., temperature and relative water table position). We found fivefold higher maximum CH4 production per gram soil carbon from organic soils than mineral soils. Maximum CH4 production from soils in the active layer (ground that thaws and refreezes annually) was nearly four times that of permafrost per gram soil carbon, and CH4 production per gram soil carbon was two times greater from sites without permafrost than sites with permafrost. Maximum CH4 and median anaerobic CO2 production decreased with depth, while CO2:CH4 production increased with depth. Maximum CH4 production was highest in soils with herbaceous vegetation and soils that were either consistently or periodically inundated. This synthesis identifies the need to consider biome, landscape position, and vascular/moss vegetation types when modeling CH4 production in permafrost ecosystems and suggests the need for longer-term anaerobic incubations to fully capture CH4 dynamics. Our results demonstrate that as climate warms in arctic and boreal regions, rates of anaerobic CO2 and CH4 production will increase, not only as a result of increased temperature, but also from shifts in vegetation and increased ground saturation that will accompany permafrost thaw.
","language":"English","publisher":"Blackwell Science","publisherLocation":"Oxford","doi":"10.1111/gcb.12875","usgsCitation":"Treat, C.C., Natali, S.M., Ernakovich, J., Iverson, C.M., Lupasco, M., McGuire, A.D., Norby, R.J., Roy Chowdhury, T., Richter, A., Santruckova, H., Schädel, C., Schuur, E.A., Sloan, V.L., Turetsky, M.R., and Waldrop, M.P., 2015, A pan-Arctic synthesis of CH4 and CO2 production from anoxic soil incubations: Global Change Biology, v. 21, no. 7, p. 2787-2803, https://doi.org/10.1111/gcb.12875.","productDescription":"17 p.","startPage":"2787","endPage":"2803","numberOfPages":"17","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-057724","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":487088,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://www.osti.gov/biblio/1401374","text":"External Repository"},{"id":319369,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Pan-Arctic circle","volume":"21","issue":"7","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2015-03-31","publicationStatus":"PW","scienceBaseUri":"56f50face4b0f59b85e1ea62","chorus":{"doi":"10.1111/gcb.12875","url":"http://dx.doi.org/10.1111/gcb.12875","publisher":"Wiley-Blackwell","authors":"Treat Claire C., Natali Susan M., Ernakovich Jessica, Iversen Colleen M., Lupascu Massimo, McGuire Anthony David, Norby Richard J., Roy Chowdhury Taniya, Richter Andreas, Šantrůčková Hana, Schädel Christina, Schuur Edward A. G., Sloan Victoria L., Turetsky Merritt R., Waldrop Mark P.","journalName":"Global Change Biology","publicationDate":"3/31/2015","auditedOn":"8/18/2016"},"contributors":{"authors":[{"text":"Treat, Claire C.","contributorId":96606,"corporation":false,"usgs":true,"family":"Treat","given":"Claire","email":"","middleInitial":"C.","affiliations":[{"id":25501,"text":"University of Eastern Finland","active":true,"usgs":false}],"preferred":false,"id":623716,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Natali, Susan M.","contributorId":103160,"corporation":false,"usgs":true,"family":"Natali","given":"Susan","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":623717,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ernakovich, Jessica","contributorId":167833,"corporation":false,"usgs":false,"family":"Ernakovich","given":"Jessica","affiliations":[],"preferred":false,"id":623718,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Iverson, Colleen M.","contributorId":167834,"corporation":false,"usgs":false,"family":"Iverson","given":"Colleen","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":623719,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Lupasco, Massimo","contributorId":167835,"corporation":false,"usgs":false,"family":"Lupasco","given":"Massimo","email":"","affiliations":[],"preferred":false,"id":623720,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"McGuire, A. 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This study evaluates simulated changes to the thermal regime of three northern Wisconsin streams in response to a projected changing climate using a modeling framework and considers implications of thermal stresses to the fish community. The Stream Network Temperature Model (SNTEMP) was used in combination with a coupled groundwater and surface water flow model to assess forecasts in climate from six global circulation models and three emission scenarios. Model results suggest that annual average stream temperature will steadily increase approximately 1.1 to 3.2 °C (varying by stream) by the year 2100 with differences in magnitude between emission scenarios. Daily mean stream temperature during the months of July and August, a period when cold-water fish communities are most sensitive, showed excursions from optimal temperatures with increased frequency compared to current conditions. Projections of daily mean stream temperature, in some cases, were no longer in the range necessary to sustain a cold water fishery.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.scitotenv.2015.03.072","usgsCitation":"Selbig, W.R., 2015, Simulating the effect of climate change on stream temperature in the Trout Lake Watershed, Wisconsin: Science of the Total Environment, v. 511-522, p. 11-18, https://doi.org/10.1016/j.scitotenv.2015.03.072.","productDescription":"8 p.","startPage":"11","endPage":"18","numberOfPages":"8","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-062837","costCenters":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"links":[{"id":299187,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Wisconsin","otherGeospatial":"Trout Lake watershed","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -89.73770141601562,\n 45.96833360206372\n ],\n [\n -89.73770141601562,\n 46.127508077954246\n ],\n [\n -89.5111083984375,\n 46.127508077954246\n ],\n [\n -89.5111083984375,\n 45.96833360206372\n ],\n [\n -89.73770141601562,\n 45.96833360206372\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"511-522","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"551bb71ce4b0323842783a2e","contributors":{"authors":[{"text":"Selbig, William R. 0000-0003-1403-8280 wrselbig@usgs.gov","orcid":"https://orcid.org/0000-0003-1403-8280","contributorId":877,"corporation":false,"usgs":true,"family":"Selbig","given":"William","email":"wrselbig@usgs.gov","middleInitial":"R.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":543759,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70139236,"text":"ds903 - 2015 - Archive of sediment data from vibracores collected in 2010 offshore of the Mississippi barrier islands","interactions":[],"lastModifiedDate":"2015-03-30T13:48:16","indexId":"ds903","displayToPublicDate":"2015-03-30T14:45:00","publicationYear":"2015","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":310,"text":"Data Series","code":"DS","onlineIssn":"2327-638X","printIssn":"2327-0271","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"903","title":"Archive of sediment data from vibracores collected in 2010 offshore of the Mississippi barrier islands","docAbstract":"In 2010, scientists from the U.S. Geological Survey St. Petersburg Coastal and Marine Science Center collected sediment cores from coastal waters offshore of the Mississippi barrier islands. With funding support from the Northern Gulf of Mexico (NGOM) Ecosystem Change and Hazard Susceptibility project, 65 subaqueous sediment cores were collected over an area of 480 square kilometers (km2), from Ship Island to Petit Bois Island Pass, Mississippi, within the boundary of Gulf Islands National Seashore. This represents only a fraction of the total area encompassed by the NGOM project, which extends from Sabine Lake, Louisiana, to Perdido Bay, Alabama. The primary objectives of the NGOM project are to understand the evolution of coastal ecosystems on the northern gulf coast, the impact of human activities on these ecosystems, and the vulnerability of ecosystems and human communities to more frequent and intense hurricanes in the future.
\nSelection of the core site locations was based on geophysical surveys conducted around the islands from 2008 to 2010. The surveys, using acoustic systems to image and interpret the nearsurface stratigraphy, were conducted to investigate the geologic controls on island evolution. This data series serves as an archive of sediment data collected from August to September 2010, offshore of the Mississippi barrier islands. Data products, including descriptive core logs, core photographs, results of sediment grain-size analyses, sample location maps, and geographic information system (GIS) data files with accompanying formal Federal Geographic Data Committee (FDGC) metadata can be downloaded from the data products and downloads page.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds903","usgsCitation":"Kelso, K.W., and Flocks, J.G., 2015, Archive of sediment data from vibracores collected in 2010 offshore of the Mississippi barrier islands: U.S. Geological Survey Data Series 903, HTML Document, https://doi.org/10.3133/ds903.","productDescription":"HTML Document","onlineOnly":"Y","additionalOnlineFiles":"N","temporalStart":"2010-01-01","ipdsId":"IP-055663","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":299140,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ds903.jpg"},{"id":299139,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/ds/0903/html/ds903_abstract.html","text":"Report","linkFileType":{"id":5,"text":"html"},"description":"Report"},{"id":299130,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/0903/"}],"country":"United States","state":"Mississippi","otherGeospatial":"Mississippi barrier islands","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -89.20074462890625,\n 30.168875561169088\n ],\n [\n -89.20074462890625,\n 30.285159872426014\n ],\n [\n -88.36578369140625,\n 30.285159872426014\n ],\n [\n -88.36578369140625,\n 30.168875561169088\n ],\n [\n -89.20074462890625,\n 30.168875561169088\n ]\n ]\n ]\n }\n }\n ]\n}","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"551a65a0e4b03238427833ef","contributors":{"authors":[{"text":"Kelso, Kyle W. 0000-0003-0615-242X kkelso@usgs.gov","orcid":"https://orcid.org/0000-0003-0615-242X","contributorId":4307,"corporation":false,"usgs":true,"family":"Kelso","given":"Kyle","email":"kkelso@usgs.gov","middleInitial":"W.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":543625,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Flocks, James G. 0000-0002-6177-7433 jflocks@usgs.gov","orcid":"https://orcid.org/0000-0002-6177-7433","contributorId":816,"corporation":false,"usgs":true,"family":"Flocks","given":"James","email":"jflocks@usgs.gov","middleInitial":"G.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":543626,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70144438,"text":"70144438 - 2015 - Variables and potential models for the bleaching of luminescence signals in fluvial environments","interactions":[],"lastModifiedDate":"2015-03-30T14:29:49","indexId":"70144438","displayToPublicDate":"2015-03-30T14:30:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3217,"text":"Quaternary International","active":true,"publicationSubtype":{"id":10}},"title":"Variables and potential models for the bleaching of luminescence signals in fluvial environments","docAbstract":"Luminescence dating of fluvial sediments rests on the assumption that sufficient sunlight is available to remove a previously obtained signal in a process deemed bleaching. However, luminescence signals obtained from sediment in the active channels of rivers often contain residual signals. This paper explores and attempts to build theoretical models for the bleaching of luminescence signals in fluvial settings. We present two models, one for sediment transported in an episodic manner, such as flood-driven washes in arid environments, and one for sediment transported in a continuous manner, such as in large continental scale rivers. The episodic flow model assumes that the majority of sediment is bleached while exposed to sunlight at the near surface between flood events and predicts a power-law decay in luminescence signal with downstream transport distance. The continuous flow model is developed by combining the Beer–Lambert law for the attenuation of light through a water column with a general-order kinetics equation to produce an equation with the form of a double negative exponential. The inflection point of this equation is compared with the sediment concentration from a Rouse profile to derive a non-dimensional number capable of assessing the likely extent of bleaching for a given set of luminescence and fluvial parameters. Although these models are theoretically based and not yet necessarily applicable to real-world fluvial systems, we introduce these ideas to stimulate discussion and encourage the development of comprehensive bleaching models with predictive power.
","conferenceTitle":"9th New World Luminescence Dating Workshop","conferenceDate":"August 16-18, 2013","conferenceLocation":"Logan, UT","language":"English","publisher":"Elsevier","doi":"10.1016/j.quaint.2014.11.007","usgsCitation":"Gray, H.J., and Mahan, S., 2015, Variables and potential models for the bleaching of luminescence signals in fluvial environments: Quaternary International, v. 362, p. 42-49, https://doi.org/10.1016/j.quaint.2014.11.007.","productDescription":"8 p.","startPage":"42","endPage":"49","numberOfPages":"8","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-054895","costCenters":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":299144,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"362","edition":"362","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"551a65bbe4b032384278347a","contributors":{"authors":[{"text":"Gray, Harrison J. 0000-0002-4555-7473 hgray@usgs.gov","orcid":"https://orcid.org/0000-0002-4555-7473","contributorId":4991,"corporation":false,"usgs":true,"family":"Gray","given":"Harrison","email":"hgray@usgs.gov","middleInitial":"J.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true},{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":543604,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mahan, Shannon 0000-0001-5214-7774 smahan@usgs.gov","orcid":"https://orcid.org/0000-0001-5214-7774","contributorId":1215,"corporation":false,"usgs":true,"family":"Mahan","given":"Shannon","email":"smahan@usgs.gov","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":false,"id":543603,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70137943,"text":"ds910 - 2015 - Chemicals of emerging concern in water and bottom sediment in the Great Lakes Basin, 2012: collection methods, analytical methods, quality assurance, and study data","interactions":[],"lastModifiedDate":"2016-06-14T10:19:07","indexId":"ds910","displayToPublicDate":"2015-03-30T14:30:00","publicationYear":"2015","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":310,"text":"Data Series","code":"DS","onlineIssn":"2327-638X","printIssn":"2327-0271","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"910","title":"Chemicals of emerging concern in water and bottom sediment in the Great Lakes Basin, 2012: collection methods, analytical methods, quality assurance, and study data","docAbstract":"In synoptic surveys of surface-water quality across the United States, a large group of organic chemicals associated with agricultural, household, and industrial waste have been detected. These chemicals are referred to collectively as chemicals of emerging concern (CECs) and include prescription drugs and antibiotics, over-the-counter medications, reproductive hormones, personal-care products, detergent metabolites, and flame retardants.
\nThe U.S. Geological Survey (USGS) collaborated with the U.S. Fish and Wildlife Service and the U.S. Environmental Protection Agency on a study to identify the presence of CECs in water and bottom-sediment samples collected during 2012 at 66 sites throughout the Great Lakes Basin. The 2012 effort is part of a long-term study that was initiated in 2010.
\nThe purposes of this report are to document the collection and analytical methods, provide the quality-assurance data and analyses, and provide the water and bottom-sediment data for this study of CECs in the Great Lakes Basin for 2012. A previous report documents data collected during 2010 and 2011. The methods used for chemical analyses were identical between the 2010–11 and 2012 studies, with the exception that a method to determine nontarget chemicals was used during 2010–11. The data from this study are published as a USGS Data Series Report to ensure adequate documentation of the original methods and provide a citable source for study data. This report contains no interpretations of the study data. The chemical data are as reported by the laboratory and have not been censored or adjusted unless otherwise noted.
\nField measurements were recorded and samples were collected in April and May and in September 2012, by U.S. Geological Survey, U.S. Fish and Wildlife Service, and U.S. Environmental Protection Agency personnel. Study sites included tributaries to the Great Lakes located near Duluth, Minnesota; King, Wisconsin; Green Bay, Wis.; Detroit, Michigan; Monroe, Mich.; Toledo, Ohio, and Rochester, New York. Water and bottom-sediment samples were analyzed at the USGS National Water Quality Laboratory in Denver, Colorado, for a broad suite of CECs.
\nDuring this 2012 study, 140 environmental and 8 field duplicate samples of surface water and wastewater effluent, 1 field blank water sample, and 5 field spike water samples were collected or prepared. Water samples were analyzed at the USGS National Water Quality Laboratory using laboratory schedule 4433 for wastewater indicators, research method 8244 for pharmaceuticals, and laboratory schedule 4434 for steroid hormones, sterols, and bisphenol A. For wastewater indicators in unfiltered water, 61 of the 68 chemicals analyzed using laboratory schedule 4433 had detectable concentrations ranging from 0.002 to 64.4 micrograms per liter. Thirty-eight of the 48 chemicals analyzed using research method 8244 for pharmaceuticals in unfiltered water had detectable concentrations ranging from 0.002 to 3.32 micrograms per liter. Twelve of the 20 chemicals analyzed using laboratory schedule 4434 for steroid hormones, sterols, and bisphenol A in unfiltered water had detectable concentrations ranging from 0.43 to 120,000 nanograms per liter.
\nDuring this study, 53 environmental samples, 4 field duplicate samples, and 8 field spike samples of bottom sediment and laboratory matrix-spike samples were analyzed for a wide variety of CECs at the USGS National Water Quality Laboratory using laboratory schedule 5433 for wastewater indicators; research method 6434 for steroid hormones, sterols, and bisphenol A; and research method 9008 for human-use pharmaceuticals and antidepressants. Forty of the 57 chemicals analyzed using laboratory schedule 5433 had detectable concentrations ranging from 1 to 49,000 micrograms per kilogram. Fourteen of the 20 chemicals analyzed using research method 6434 had detectable concentrations ranging from 0.04 to 24,940 nanograms per gram. Ten of the 20 chemicals analyzed using research method 9008 had detectable concentrations ranging from 0.59 to 197.5 micrograms per kilogram. Five of the 11 chemicals analyzed using research method 9008 had detectable concentrations ranging from 1.16 to 25.0 micrograms per kilogram.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds910","collaboration":"Prepared in cooperation with the U.S. Fish and Wildlife Service and the U.S. Environmental Protection Agency","usgsCitation":"Lee, K., Langer, S., Menheer, M.A., Hansen, D.S., Foreman, W., Furlong, E.T., Jorgenson, Z.G., Choy, S.J., Moore, J.N., Banda, J., and Gefell, D.J., 2015, Chemicals of emerging concern in water and bottom sediment in the Great Lakes Basin, 2012: collection methods, analytical methods, quality assurance, and study data: U.S. Geological Survey Data Series 910, Report:vi, 14 p.; 2 Appendices; 6 Tables, https://doi.org/10.3133/ds910.","productDescription":"Report:vi, 14 p.; 2 Appendices; 6 Tables","startPage":"14","numberOfPages":"26","onlineOnly":"Y","additionalOnlineFiles":"Y","temporalStart":"2012-04-01","temporalEnd":"2012-09-30","ipdsId":"IP-043757","costCenters":[{"id":392,"text":"Minnesota Water Science 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