{"pageNumber":"585","pageRowStart":"14600","pageSize":"25","recordCount":69035,"records":[{"id":70048309,"text":"70048309 - 2014 - Mycotoxins: diffuse and point source contributions of natural contaminants of emerging concern to streams","interactions":[],"lastModifiedDate":"2018-09-14T16:04:03","indexId":"70048309","displayToPublicDate":"2013-11-27T10:41:00","publicationYear":"2014","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":"Mycotoxins: diffuse and point source contributions of natural contaminants of emerging concern to streams","docAbstract":"To determine the prevalence of mycotoxins in streams, 116 water samples from 32 streams and three wastewater treatment plant effluents were collected in 2010 providing the broadest investigation on the spatial and temporal occurrence of mycotoxins in streams conducted in the United States to date. Out of the 33 target mycotoxins measured, nine were detected at least once during this study. The detections of mycotoxins were nearly ubiquitous during this study even though the basin size spanned four orders of magnitude. At least one mycotoxin was detected in 94% of the 116 samples collected. Deoxynivalenol was the most frequently detected mycotoxin (77%), followed by nivalenol (59%), beauvericin (43%), zearalenone (26%), β-zearalenol (20%), 3-acetyl-deoxynivalenol (16%), α-zearalenol (10%), diacetoxyscirpenol (5%), and verrucarin A (1%). In addition, one or more of the three known estrogenic compounds (i.e. zearalenone, α-zearalenol, and β-zearalenol) were detected in 43% of the samples, with maximum concentrations substantially higher than observed in previous research. While concentrations were generally low (i.e. < 50 ng/L) during this study, concentrations exceeding 1000 ng/L were measured during spring snowmelt conditions in agricultural settings and in wastewater treatment plant effluent. Results of this study suggest that both diffuse (e.g. release from infected plants and manure applications from exposed livestock) and point (e.g. wastewater treatment plants and food processing plants) sources are important environmental pathways for mycotoxin transport to streams. The ecotoxicological impacts from the long-term, low-level exposures to mycotoxins alone or in combination with complex chemical mixtures are unknown","language":"English","publisher":"Elsevier","doi":"10.1016/j.scitotenv.2013.09.062","usgsCitation":"Kolpin, D.W., Schenzel, J., Meyer, M.T., Phillips, P., Hubbard, L.E., Scott, T., and Bucheli, T.D., 2014, Mycotoxins: diffuse and point source contributions of natural contaminants of emerging concern to streams: Science of the Total Environment, v. 470-471, p. 669-676, https://doi.org/10.1016/j.scitotenv.2013.09.062.","productDescription":"8 p.","startPage":"669","endPage":"676","ipdsId":"IP-049901","costCenters":[{"id":351,"text":"Iowa Water Science Center","active":true,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":279858,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":279857,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.scitotenv.2013.09.062"}],"volume":"470-471","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"529716d6e4b08e44bf66fb83","contributors":{"authors":[{"text":"Kolpin, Dana W. 0000-0002-3529-6505 dwkolpin@usgs.gov","orcid":"https://orcid.org/0000-0002-3529-6505","contributorId":1239,"corporation":false,"usgs":true,"family":"Kolpin","given":"Dana","email":"dwkolpin@usgs.gov","middleInitial":"W.","affiliations":[{"id":351,"text":"Iowa Water Science Center","active":true,"usgs":true}],"preferred":true,"id":484286,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Schenzel, Judith","contributorId":36842,"corporation":false,"usgs":true,"family":"Schenzel","given":"Judith","email":"","affiliations":[],"preferred":false,"id":484289,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Meyer, Michael T. 0000-0001-6006-7985 mmeyer@usgs.gov","orcid":"https://orcid.org/0000-0001-6006-7985","contributorId":866,"corporation":false,"usgs":true,"family":"Meyer","given":"Michael","email":"mmeyer@usgs.gov","middleInitial":"T.","affiliations":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"preferred":true,"id":484285,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Phillips, Patrick J. pjphilli@usgs.gov","contributorId":856,"corporation":false,"usgs":true,"family":"Phillips","given":"Patrick J.","email":"pjphilli@usgs.gov","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":false,"id":484284,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hubbard, Laura E. 0000-0003-3813-1500 lhubbard@usgs.gov","orcid":"https://orcid.org/0000-0003-3813-1500","contributorId":4221,"corporation":false,"usgs":true,"family":"Hubbard","given":"Laura","email":"lhubbard@usgs.gov","middleInitial":"E.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":484287,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Scott, Tia-Marie 0000-0002-5677-0544 tia-mariescott@usgs.gov","orcid":"https://orcid.org/0000-0002-5677-0544","contributorId":5122,"corporation":false,"usgs":true,"family":"Scott","given":"Tia-Marie","email":"tia-mariescott@usgs.gov","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":484288,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Bucheli, Thomas D.","contributorId":71455,"corporation":false,"usgs":true,"family":"Bucheli","given":"Thomas","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":484290,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70057596,"text":"70057596 - 2014 - Effects of a non-native cichlid fish (African jewelfish, <i>Hemichromis letourneuxi</i> Sauvage 1880) on a simulated Everglades aquatic community","interactions":[],"lastModifiedDate":"2013-11-26T11:23:40","indexId":"70057596","displayToPublicDate":"2013-11-26T11:20:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1919,"text":"Hydrobiologia","onlineIssn":"1573-5117","printIssn":"0018-8158","active":true,"publicationSubtype":{"id":10}},"title":"Effects of a non-native cichlid fish (African jewelfish, <i>Hemichromis letourneuxi</i> Sauvage 1880) on a simulated Everglades aquatic community","docAbstract":"In an 8-month mesocosm experiment, we examined how a simulated Everglades aquatic community of small native fishes, snails, and shrimp changed with the addition of either a native predator (dollar sunfish Lepomis marginatus) or a non-native predator (African jewelfish Hemichromis letourneuxi) compared to a no-predator control. Two snail species (Planorbella duryi, Physella cubensis) and the shrimp (Palaemonetes paludosus) displayed the strongest predator-treatment effects, with significantly lower biomasses in tanks with Hemichromis. One small native fish (Heterandria formosa) was significantly less abundant in Hemichromis tanks, but there were no significant treatment effects for Gambusia holbrooki, Jordanella floridae, or Pomacea paludosa (applesnail). Overall, there were few treatment differences between native predator and no-predator control tanks. The results suggest that the potential of Hemichromis to affect basal food-web species that link primary producers with higher-level consumers in the aquatic food web, with unknown consequences for Florida waters.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Hydrobiologia","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Springer","doi":"10.1007/s10750-013-1697-0","usgsCitation":"Schofield, P., Slone, D., Gregoire, D.R., and Loftus, W., 2014, Effects of a non-native cichlid fish (African jewelfish, <i>Hemichromis letourneuxi</i> Sauvage 1880) on a simulated Everglades aquatic community: Hydrobiologia, v. 722, no. 1, p. 171-182, https://doi.org/10.1007/s10750-013-1697-0.","productDescription":"12 p.","startPage":"171","endPage":"182","numberOfPages":"12","ipdsId":"IP-044466","costCenters":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"links":[{"id":279796,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":279795,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s10750-013-1697-0"}],"volume":"722","issue":"1","noUsgsAuthors":false,"publicationDate":"2013-10-19","publicationStatus":"PW","scienceBaseUri":"5295c2fbe4b0becc369c7cc3","contributors":{"authors":[{"text":"Schofield, Pamela J. 0000-0002-8752-2797","orcid":"https://orcid.org/0000-0002-8752-2797","contributorId":30306,"corporation":false,"usgs":true,"family":"Schofield","given":"Pamela J.","affiliations":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"preferred":true,"id":486830,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Slone, Daniel H. 0000-0002-9903-9727 dslone@usgs.gov","orcid":"https://orcid.org/0000-0002-9903-9727","contributorId":1749,"corporation":false,"usgs":true,"family":"Slone","given":"Daniel H.","email":"dslone@usgs.gov","affiliations":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"preferred":false,"id":486829,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gregoire, Denise R.","contributorId":107028,"corporation":false,"usgs":true,"family":"Gregoire","given":"Denise","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":486832,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Loftus, William F.","contributorId":48628,"corporation":false,"usgs":true,"family":"Loftus","given":"William F.","affiliations":[],"preferred":false,"id":486831,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70056680,"text":"70056680 - 2014 - Potential for parasite-induced biases in aquatic invertebrate population studies","interactions":[],"lastModifiedDate":"2017-10-20T11:43:01","indexId":"70056680","displayToPublicDate":"2013-11-21T10:13:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1919,"text":"Hydrobiologia","onlineIssn":"1573-5117","printIssn":"0018-8158","active":true,"publicationSubtype":{"id":10}},"title":"Potential for parasite-induced biases in aquatic invertebrate population studies","docAbstract":"Recent studies highlight the need to include estimates of detection/capture probability in population studies. This need is particularly important in studies where detection and/or capture probability is influenced by parasite-induced behavioral alterations. We assessed potential biases associated with sampling a population of the amphipod Gammarus lacustris in the presence of Polymorphus spp. acanthocephalan parasites shown to increase positive phototaxis in their amphipod hosts. We trapped G. lacustris at two water depths (benthic and surface) and compared number of captures and number of parasitized individuals at each depth. While we captured the greatest number of G. lacustris individuals in benthic traps, parasitized individuals were captured most often in surface traps. These results reflect the phototaxic movement of infected individuals from benthic locations to sunlit surface waters. We then explored the influence of varying infection rates on a simulated population held at a constant level of abundance. Simulations resulted in increasingly biased abundance estimates as infection rates increased. Our results highlight the need to consider parasite-induced biases when quantifying detection and/or capture probability in studies of aquatic invertebrate populations.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Hydrobiologia","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Springer","doi":"10.1007/s10750-013-1700-9","usgsCitation":"Fisher, J.D., Mushet, D.M., and Stockwell, C., 2014, Potential for parasite-induced biases in aquatic invertebrate population studies: Hydrobiologia, v. 722, no. 1, p. 199-204, https://doi.org/10.1007/s10750-013-1700-9.","productDescription":"6 p.","startPage":"199","endPage":"204","ipdsId":"IP-041710","costCenters":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":279315,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":279301,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s10750-013-1700-9"}],"country":"United States","state":"North Dakota","county":"Stutsman County","otherGeospatial":"Cottonwood Lakes Study Area","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -99.48275,46.629387 ], [ -99.48275,47.327213 ], [ -98.439552,47.327213 ], [ -98.439552,46.629387 ], [ -99.48275,46.629387 ] ] ] } } ] }","volume":"722","issue":"1","noUsgsAuthors":false,"publicationDate":"2013-10-10","publicationStatus":"PW","scienceBaseUri":"528f53cce4b0660d392bed7e","contributors":{"authors":[{"text":"Fisher, Justin D.L.","contributorId":32817,"corporation":false,"usgs":true,"family":"Fisher","given":"Justin","email":"","middleInitial":"D.L.","affiliations":[],"preferred":false,"id":486610,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mushet, David M. 0000-0002-5910-2744 dmushet@usgs.gov","orcid":"https://orcid.org/0000-0002-5910-2744","contributorId":1299,"corporation":false,"usgs":true,"family":"Mushet","given":"David","email":"dmushet@usgs.gov","middleInitial":"M.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":486609,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Stockwell, Craig A.","contributorId":55257,"corporation":false,"usgs":true,"family":"Stockwell","given":"Craig A.","affiliations":[],"preferred":false,"id":486611,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70045503,"text":"70045503 - 2014 - Variation in the response of an Arctic top predator experiencing habitat loss: Feeding and reproductive ecology of two polar bear populations","interactions":[],"lastModifiedDate":"2018-05-10T12:17:09","indexId":"70045503","displayToPublicDate":"2013-11-17T12:01:02","publicationYear":"2014","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":"Variation in the response of an Arctic top predator experiencing habitat loss: Feeding and reproductive ecology of two polar bear populations","docAbstract":"Polar bears (<i>Ursus maritimus</i>) have experienced substantial changes in the seasonal availability of sea ice habitat in parts of their range, including the Beaufort, Chukchi, and Bering Seas. In this study, we compared the body size, condition, and recruitment of polar bears captured in the Chukchi and Bering Seas (CS) between two periods (1986–1994 and 2008–2011) when declines in sea ice habitat occurred. In addition, we compared metrics for the CS population 2008–2011 with those of the adjacent southern Beaufort Sea (SB) population where loss in sea ice habitat has been associated with declines in body condition, size, recruitment, and survival. We evaluated how variation in body condition and recruitment were related to feeding ecology. Comparing habitat conditions between populations, there were twice as many reduced ice days over continental shelf waters per year during 2008–2011 in the SB than in the CS. CS polar bears were larger and in better condition, and appeared to have higher reproduction than SB bears. Although SB and CS bears had similar diets, twice as many bears were fasting in spring in the SB than in the CS. Between 1986–1994 and 2008–2011, body size, condition, and recruitment indices in the CS were not reduced despite a 44-day increase in the number of reduced ice days. Bears in the CS exhibited large body size, good body condition, and high indices of recruitment compared to most other populations measured to date. Higher biological productivity and prey availability in the CS relative to the SB, and a shorter recent history of reduced sea ice habitat, may explain the maintenance of condition and recruitment of CS bears. Geographic differences in the response of polar bears to climate change are relevant to range-wide forecasts for this and other ice-dependent species.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Global Change Biology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Blackwell Science","publisherLocation":"Oxford, England","doi":"10.1111/gcb.12339","usgsCitation":"Rode, K.D., Regehr, E.V., Douglas, D.C., Durner, G.M., Derocher, A.E., Thiemann, G.W., and Budge, S.M., 2014, Variation in the response of an Arctic top predator experiencing habitat loss: Feeding and reproductive ecology of two polar bear populations: Global Change Biology, v. 20, no. 1, p. 76-88, https://doi.org/10.1111/gcb.12339.","productDescription":"13 p.","startPage":"76","endPage":"88","ipdsId":"IP-042665","costCenters":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"links":[{"id":473331,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/gcb.12339","text":"Publisher Index Page"},{"id":281092,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":281088,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1111/gcb.12339"}],"country":"Canada; Russia; United States","otherGeospatial":"Beaufort Sea; Bering Sea; Chukchi Sea","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ 130.69,56.41 ], [ 130.69,78.03 ], [ -109.95,78.03 ], [ -109.95,56.41 ], [ 130.69,56.41 ] ] ] } } ] }","volume":"20","issue":"1","noUsgsAuthors":false,"publicationDate":"2013-11-17","publicationStatus":"PW","scienceBaseUri":"53cd7af8e4b0b2908510dd27","contributors":{"authors":[{"text":"Rode, Karyn D. 0000-0002-3328-8202 krode@usgs.gov","orcid":"https://orcid.org/0000-0002-3328-8202","contributorId":5053,"corporation":false,"usgs":true,"family":"Rode","given":"Karyn","email":"krode@usgs.gov","middleInitial":"D.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":477649,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Regehr, Eric V. 0000-0003-4487-3105","orcid":"https://orcid.org/0000-0003-4487-3105","contributorId":66364,"corporation":false,"usgs":false,"family":"Regehr","given":"Eric","email":"","middleInitial":"V.","affiliations":[{"id":12428,"text":"U. S. Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":477650,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Douglas, David C. 0000-0003-0186-1104 ddouglas@usgs.gov","orcid":"https://orcid.org/0000-0003-0186-1104","contributorId":2388,"corporation":false,"usgs":true,"family":"Douglas","given":"David","email":"ddouglas@usgs.gov","middleInitial":"C.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":477648,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Durner, George M. 0000-0002-3370-1191 gdurner@usgs.gov","orcid":"https://orcid.org/0000-0002-3370-1191","contributorId":3576,"corporation":false,"usgs":true,"family":"Durner","given":"George","email":"gdurner@usgs.gov","middleInitial":"M.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":477654,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Derocher, Andrew E.","contributorId":96189,"corporation":false,"usgs":false,"family":"Derocher","given":"Andrew","email":"","middleInitial":"E.","affiliations":[{"id":12980,"text":"Department of Biological Sciences, University of Alberta, Edmonton, Alberta, Canada","active":true,"usgs":false}],"preferred":false,"id":477653,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Thiemann, Gregory W.","contributorId":83023,"corporation":false,"usgs":false,"family":"Thiemann","given":"Gregory","email":"","middleInitial":"W.","affiliations":[{"id":27291,"text":"York University, Toronto, ON","active":true,"usgs":false}],"preferred":false,"id":477651,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Budge, Suzanne M.","contributorId":92168,"corporation":false,"usgs":false,"family":"Budge","given":"Suzanne","email":"","middleInitial":"M.","affiliations":[{"id":24650,"text":"Dalhousie University","active":true,"usgs":false}],"preferred":false,"id":477652,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70046429,"text":"70046429 - 2014 - The transboundary non-renewable Nubian Aquifer System of Chad, Egypt, Libya and Sudan: Classical groundwater questions and parsimonious hydrogeologic analysis and modeling","interactions":[],"lastModifiedDate":"2021-10-29T10:24:21.80995","indexId":"70046429","displayToPublicDate":"2013-11-15T15:16:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1923,"text":"Hydrogeology Journal","active":true,"publicationSubtype":{"id":10}},"title":"The transboundary non-renewable Nubian Aquifer System of Chad, Egypt, Libya and Sudan: Classical groundwater questions and parsimonious hydrogeologic analysis and modeling","docAbstract":"Parsimonious groundwater modeling provides insight into hydrogeologic functioning of the Nubian Aquifer System (NAS), the world’s largest non-renewable groundwater system (belonging to Chad, Egypt, Libya, and Sudan). Classical groundwater-resource issues exist (magnitude and lateral extent of drawdown near pumping centers) with joint international management questions regarding transboundary drawdown. Much of NAS is thick, containing a large volume of high-quality groundwater, but receives insignificant recharge, so water-resource availability is time-limited. Informative aquifer data are lacking regarding large-scale response, providing only local-scale information near pumps. Proxy data provide primary underpinning for understanding regional response: Holocene water-table decline from the previous pluvial period, after thousands of years, results in current oasis/sabkha locations where the water table still intersects the ground. Depletion is found to be controlled by two regional parameters, hydraulic diffusivity and vertical anisotropy of permeability. Secondary data that provide insight are drawdowns near pumps and isotope-groundwater ages (million-year-old groundwaters in Egypt). The resultant strong simply structured three-dimensional model representation captures the essence of NAS regional groundwater-flow behavior. Model forecasts inform resource management that transboundary drawdown will likely be minimal—a nonissue—whereas drawdown within pumping centers may become excessive, requiring alternative extraction schemes; correspondingly, significant water-table drawdown may occur in pumping centers co-located with oases, causing oasis loss and environmental impacts.","language":"English","publisher":"Springer","doi":"10.1007/s10040-013-1039-3","usgsCitation":"Voss, C.I., and Soliman, S.M., 2014, The transboundary non-renewable Nubian Aquifer System of Chad, Egypt, Libya and Sudan: Classical groundwater questions and parsimonious hydrogeologic analysis and modeling: Hydrogeology Journal, v. 22, no. 2, p. 441-468, https://doi.org/10.1007/s10040-013-1039-3.","productDescription":"28 p.","startPage":"441","endPage":"468","ipdsId":"IP-046054","costCenters":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"links":[{"id":281011,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Chad, Egypt, Libya, Sudan","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ 9.39,7.44 ], [ 9.39,33.29 ], [ 38.7,33.29 ], [ 38.7,7.44 ], [ 9.39,7.44 ] ] ] } } ] }","volume":"22","issue":"2","noUsgsAuthors":false,"publicationDate":"2013-11-06","publicationStatus":"PW","scienceBaseUri":"53cd78b6e4b0b2908510c543","contributors":{"authors":[{"text":"Voss, Clifford I. 0000-0001-5923-2752 cvoss@usgs.gov","orcid":"https://orcid.org/0000-0001-5923-2752","contributorId":1559,"corporation":false,"usgs":true,"family":"Voss","given":"Clifford","email":"cvoss@usgs.gov","middleInitial":"I.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":479646,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Soliman, Safaa M.","contributorId":52078,"corporation":false,"usgs":true,"family":"Soliman","given":"Safaa","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":479647,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70103148,"text":"70103148 - 2014 - Changing ecosystem dynamics in the Laurentian Great Lakes: Bottom-up and top-down regulation","interactions":[],"lastModifiedDate":"2021-02-04T18:30:02.186229","indexId":"70103148","displayToPublicDate":"2013-11-12T12:20:41","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":997,"text":"BioScience","active":true,"publicationSubtype":{"id":10}},"title":"Changing ecosystem dynamics in the Laurentian Great Lakes: Bottom-up and top-down regulation","docAbstract":"<p><span>Understanding the relative importance of top-down and bottom-up regulation of ecosystem structure is a fundamental ecological question, with implications for fisheries and water-quality management. For the Laurentian Great Lakes, where, since the early 1970s, nutrient inputs have been reduced, whereas top-predator biomass has increased, we describe trends across multiple trophic levels and explore their underlying drivers. Our analyses revealed increasing water clarity and declines in phytoplankton, native invertebrates, and prey fish since 1998 in at least three of the five lakes. Evidence for bottom-up regulation was strongest in Lake Huron, although each lake provided support in at least one pair of trophic levels. Evidence for top-down regulation was rare. Although nonindigenous dreissenid mussels probably have large impacts on nutrient cycling and phytoplankton, their effects on higher trophic levels remain uncertain. We highlight gaps for which monitoring and knowledge should improve the understanding of food-web dynamics and facilitate the implementation of ecosystem-based management.</span></p>","language":"English","publisher":"Oxford Academic","doi":"10.1093/biosci/bit001","usgsCitation":"Bunnell, D., Barbiero, R.P., Ludsin, S.A., Madenjian, C.P., Warren, G.J., Dolan, D.M., Brenden, T.O., Briland, R., Gorman, O.T., Hi, J.X., Johengen, T.F., Lantry, B.F., Lesht, B.M., Nalepa, T., Riley, S.C., Riseng, C.M., Treska, T.J., Tsehaye, I., Walsh, M., Warner, D.M., and Weidel, B., 2014, Changing ecosystem dynamics in the Laurentian Great Lakes: Bottom-up and top-down regulation: BioScience, v. 64, no. 1, p. 29-39, https://doi.org/10.1093/biosci/bit001.","productDescription":"11 p.","startPage":"29","endPage":"39","ipdsId":"IP-049007","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":473332,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1093/biosci/bit001","text":"Publisher Index Page"},{"id":383022,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, United States","state":"Illinois, Indiana, Michigan, Minnesota, new York, Ontario, Pennsylvania, Wisconsin","otherGeospatial":"Laurentian Great Lakes","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -93.8671875,\n              41.11246878918088\n            ],\n            [\n              -75.41015624999999,\n              41.11246878918088\n            ],\n            [\n              -75.41015624999999,\n              49.32512199104001\n            ],\n            [\n              -93.8671875,\n              49.32512199104001\n            ],\n            [\n              -93.8671875,\n              41.11246878918088\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"64","issue":"1","noUsgsAuthors":false,"publicationDate":"2013-11-12","publicationStatus":"PW","scienceBaseUri":"5360bbd0e4b082a3ecf53dc2","contributors":{"authors":[{"text":"Bunnell, David B. 0000-0003-3521-7747 dbunnell@usgs.gov","orcid":"https://orcid.org/0000-0003-3521-7747","contributorId":3139,"corporation":false,"usgs":true,"family":"Bunnell","given":"David B.","email":"dbunnell@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":false,"id":518757,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Barbiero, Richard P","contributorId":117910,"corporation":false,"usgs":true,"family":"Barbiero","given":"Richard","email":"","middleInitial":"P","affiliations":[],"preferred":false,"id":518769,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ludsin, Stuart A","contributorId":120607,"corporation":false,"usgs":true,"family":"Ludsin","given":"Stuart","email":"","middleInitial":"A","affiliations":[],"preferred":false,"id":518771,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Madenjian, Charles P. 0000-0002-0326-164X cmadenjian@usgs.gov","orcid":"https://orcid.org/0000-0002-0326-164X","contributorId":2200,"corporation":false,"usgs":true,"family":"Madenjian","given":"Charles","email":"cmadenjian@usgs.gov","middleInitial":"P.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":518752,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Warren, Glenn J.","contributorId":79407,"corporation":false,"usgs":true,"family":"Warren","given":"Glenn","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":518767,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Dolan, David M.","contributorId":7189,"corporation":false,"usgs":true,"family":"Dolan","given":"David","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":518760,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Brenden, Travis O.","contributorId":13876,"corporation":false,"usgs":true,"family":"Brenden","given":"Travis","email":"","middleInitial":"O.","affiliations":[],"preferred":false,"id":518761,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Briland, Ruth","contributorId":65004,"corporation":false,"usgs":true,"family":"Briland","given":"Ruth","affiliations":[],"preferred":false,"id":518765,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Gorman, Owen T. 0000-0003-0451-110X otgorman@usgs.gov","orcid":"https://orcid.org/0000-0003-0451-110X","contributorId":2888,"corporation":false,"usgs":true,"family":"Gorman","given":"Owen","email":"otgorman@usgs.gov","middleInitial":"T.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":518755,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Hi, Ji X.","contributorId":119795,"corporation":false,"usgs":true,"family":"Hi","given":"Ji","email":"","middleInitial":"X.","affiliations":[],"preferred":false,"id":518770,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Johengen, Thomas F.","contributorId":120785,"corporation":false,"usgs":true,"family":"Johengen","given":"Thomas","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":518772,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Lantry, Brian F. 0000-0001-8797-3910 bflantry@usgs.gov","orcid":"https://orcid.org/0000-0001-8797-3910","contributorId":3435,"corporation":false,"usgs":true,"family":"Lantry","given":"Brian","email":"bflantry@usgs.gov","middleInitial":"F.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":518758,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Lesht, Barry M.","contributorId":72711,"corporation":false,"usgs":true,"family":"Lesht","given":"Barry","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":518766,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Nalepa, Thomas F.","contributorId":28212,"corporation":false,"usgs":true,"family":"Nalepa","given":"Thomas F.","affiliations":[],"preferred":false,"id":518762,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Riley, Stephen C. 0000-0002-8968-8416 sriley@usgs.gov","orcid":"https://orcid.org/0000-0002-8968-8416","contributorId":2661,"corporation":false,"usgs":true,"family":"Riley","given":"Stephen","email":"sriley@usgs.gov","middleInitial":"C.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":false,"id":518754,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Riseng, Catherine M.","contributorId":30144,"corporation":false,"usgs":true,"family":"Riseng","given":"Catherine","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":518764,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Treska, Ted J.","contributorId":28528,"corporation":false,"usgs":true,"family":"Treska","given":"Ted","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":518763,"contributorType":{"id":1,"text":"Authors"},"rank":17},{"text":"Tsehaye, Iyob","contributorId":106801,"corporation":false,"usgs":true,"family":"Tsehaye","given":"Iyob","email":"","affiliations":[],"preferred":false,"id":518768,"contributorType":{"id":1,"text":"Authors"},"rank":18},{"text":"Walsh, Maureen 0000-0001-7846-5025 mwalsh@usgs.gov","orcid":"https://orcid.org/0000-0001-7846-5025","contributorId":3659,"corporation":false,"usgs":true,"family":"Walsh","given":"Maureen","email":"mwalsh@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":518759,"contributorType":{"id":1,"text":"Authors"},"rank":19},{"text":"Warner, David M. 0000-0003-4939-5368 dmwarner@usgs.gov","orcid":"https://orcid.org/0000-0003-4939-5368","contributorId":2986,"corporation":false,"usgs":true,"family":"Warner","given":"David","email":"dmwarner@usgs.gov","middleInitial":"M.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":518756,"contributorType":{"id":1,"text":"Authors"},"rank":20},{"text":"Weidel, Brian 0000-0001-6095-2773 bweidel@usgs.gov","orcid":"https://orcid.org/0000-0001-6095-2773","contributorId":2485,"corporation":false,"usgs":true,"family":"Weidel","given":"Brian","email":"bweidel@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":518753,"contributorType":{"id":1,"text":"Authors"},"rank":21}]}}
,{"id":70058709,"text":"70058709 - 2014 - Modeling effects of climate change on Yakima River salmonid habitats","interactions":[],"lastModifiedDate":"2023-07-25T12:54:00.793053","indexId":"70058709","displayToPublicDate":"2013-11-07T10:05:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1252,"text":"Climatic Change","active":true,"publicationSubtype":{"id":10}},"title":"Modeling effects of climate change on Yakima River salmonid habitats","docAbstract":"We evaluated the potential effects of two climate change scenarios on salmonid habitats in the Yakima River by linking the outputs from a watershed model, a river operations model, a two-dimensional (2D) hydrodynamic model, and a geographic information system (GIS). The watershed model produced a discharge time series (hydrograph) in two study reaches under three climate scenarios: a baseline (1981–2005), a 1-°C increase in mean air temperature (plus one scenario), and a 2-°C increase (plus two scenario). A river operations model modified the discharge time series with Yakima River operational rules, a 2D model provided spatially explicit depth and velocity grids for two floodplain reaches, while an expert panel provided habitat criteria for four life stages of coho and fall Chinook salmon. We generated discharge-habitat functions for each salmonid life stage (e.g., spawning, rearing) in main stem and side channels, and habitat time series for baseline, plus one (P1) and plus two (P2) scenarios. The spatial and temporal patterns in salmonid habitats differed by reach, life stage, and climate scenario. Seventy-five percent of the 28 discharge-habitat responses exhibited a decrease in habitat quantity, with the P2 scenario producing the largest changes, followed by P1. Fry and spring/summer rearing habitats were the most sensitive to warming and flow modification for both species. Side channels generally produced more habitat than main stem and were more responsive to flow changes, demonstrating the importance of lateral connectivity in the floodplain. A discharge-habitat sensitivity analysis revealed that proactive management of regulated surface waters (i.e., increasing or decreasing flows) might lessen the impacts of climate change on salmonid habitats.","language":"English","publisher":"Springer","doi":"10.1007/s10584-013-0980-4","usgsCitation":"Hatten, J.R., Batt, T.R., Connolly, P., and Maule, A.G., 2014, Modeling effects of climate change on Yakima River salmonid habitats: Climatic Change, v. 124, no. 1-2, p. 427-439, https://doi.org/10.1007/s10584-013-0980-4.","productDescription":"13 p.","startPage":"427","endPage":"439","numberOfPages":"13","ipdsId":"IP-045665","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":473333,"rank":3,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s10584-013-0980-4","text":"Publisher Index Page"},{"id":280270,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":280259,"rank":1,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s10584-013-0980-4"}],"country":"United States","state":"Washington","otherGeospatial":"Yakima Basin","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -121.5,45.75 ], [ -121.5,48.5 ], [ -119.25,48.5 ], [ -119.25,45.75 ], [ -121.5,45.75 ] ] ] } } ] }","volume":"124","issue":"1-2","noUsgsAuthors":false,"publicationDate":"2013-11-07","publicationStatus":"PW","scienceBaseUri":"52aadaf0e4b078ad3e40e3aa","contributors":{"authors":[{"text":"Hatten, James R. 0000-0003-4676-8093 jhatten@usgs.gov","orcid":"https://orcid.org/0000-0003-4676-8093","contributorId":3431,"corporation":false,"usgs":true,"family":"Hatten","given":"James","email":"jhatten@usgs.gov","middleInitial":"R.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":487285,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Batt, Thomas R. tbatt@usgs.gov","contributorId":3432,"corporation":false,"usgs":true,"family":"Batt","given":"Thomas","email":"tbatt@usgs.gov","middleInitial":"R.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":487286,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Connolly, Patrick J. 0000-0001-7365-7618 pconnolly@usgs.gov","orcid":"https://orcid.org/0000-0001-7365-7618","contributorId":2920,"corporation":false,"usgs":true,"family":"Connolly","given":"Patrick J.","email":"pconnolly@usgs.gov","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":487284,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Maule, Alec G. amaule@usgs.gov","contributorId":2606,"corporation":false,"usgs":true,"family":"Maule","given":"Alec","email":"amaule@usgs.gov","middleInitial":"G.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":487283,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70048757,"text":"70048757 - 2014 - Measuring and predicting abundance and dynamics of habitat for piping plovers on a large reservoir","interactions":[],"lastModifiedDate":"2017-08-31T11:00:55","indexId":"70048757","displayToPublicDate":"2013-11-01T14:51:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1458,"text":"Ecological Modelling","active":true,"publicationSubtype":{"id":10}},"title":"Measuring and predicting abundance and dynamics of habitat for piping plovers on a large reservoir","docAbstract":"Measuring habitat and understanding habitat dynamics have become increasingly important for wildlife conservation. Using remotely-sensed data, we developed procedures to measure breeding habitat abundance for the federally listed piping plover (Charadrius melodus) at Lake Sakakawea, North Dakota, USA. We also developed a model to predict habitat abundance based on past and projected water levels, vegetation colonization rates, and topography. Previous studies define plover habitat as flat areas (<10% slope) with ≤30% obstruction of bare substrate. Compared to ground-based data, remotely-sensed habitat classifications (≤30/>30% bare-substrate obstruction) were 76% correct and omission and commission errors were equal. Due to water level fluctuations, habitat abundance varied markedly among years (1986–2009) ranging from 9 to 5195 ha. The proportion bare substrate declined with the number of years since a contour was inundated until 5 years (&beta; = -0.65, SE = 0.05), then it stabilized near zero, and the decline varied by shoreline segment (5, 50, and 95 percentile were &beta; = -0.19, SE = 0.05, &beta; = -0.63, SE = 0.05, and &beta; = -0.91, SE = 0.05, respectively). Years since inundated predicted habitat abundance well at shoreline segments (R<sup>2</sup> = 0.77), but it predicted better for the whole lake (R<sup>2</sup> = 0.86). The vastness and dynamics of plover habitat on Lake Sakakawea suggest that this is a key area for conservation of this species. Model-based habitat predictions can benefit resource conservation because they can (1) form the basis for a sampling stratification, (2) help allocate monitoring efforts among areas, and (3) help inform management through simulations or what-if scenarios.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Ecological Modelling","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","doi":"10.1016/j.ecolmodel.2013.08.020","usgsCitation":"Anteau, M.J., Wiltermuth, M.T., Sherfy, M.H., and Shaffer, T.L., 2014, Measuring and predicting abundance and dynamics of habitat for piping plovers on a large reservoir: Ecological Modelling, v. 272, p. 16-27, https://doi.org/10.1016/j.ecolmodel.2013.08.020.","productDescription":"12 p.","startPage":"16","endPage":"27","ipdsId":"IP-041452","costCenters":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":278655,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":278654,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.ecolmodel.2013.08.020"}],"country":"United States","state":"North Dakota","otherGeospatial":"Lake Sakakawea","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -103.5771,47.4491 ], [ -103.5771,48.1718 ], [ -101.2537,48.1718 ], [ -101.2537,47.4491 ], [ -103.5771,47.4491 ] ] ] } } ] }","volume":"272","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5274c67ee4b089748f07132a","contributors":{"authors":[{"text":"Anteau, Michael J. 0000-0002-5173-5870 manteau@usgs.gov","orcid":"https://orcid.org/0000-0002-5173-5870","contributorId":3427,"corporation":false,"usgs":true,"family":"Anteau","given":"Michael","email":"manteau@usgs.gov","middleInitial":"J.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":485578,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wiltermuth, Mark T. 0000-0002-8871-2816 mwiltermuth@usgs.gov","orcid":"https://orcid.org/0000-0002-8871-2816","contributorId":708,"corporation":false,"usgs":true,"family":"Wiltermuth","given":"Mark","email":"mwiltermuth@usgs.gov","middleInitial":"T.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true},{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":485576,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sherfy, Mark H. 0000-0003-3016-4105 msherfy@usgs.gov","orcid":"https://orcid.org/0000-0003-3016-4105","contributorId":125,"corporation":false,"usgs":true,"family":"Sherfy","given":"Mark","email":"msherfy@usgs.gov","middleInitial":"H.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":485575,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Shaffer, Terry L. 0000-0001-6950-8951 tshaffer@usgs.gov","orcid":"https://orcid.org/0000-0001-6950-8951","contributorId":3192,"corporation":false,"usgs":true,"family":"Shaffer","given":"Terry","email":"tshaffer@usgs.gov","middleInitial":"L.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":485577,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70048576,"text":"70048576 - 2014 - Effects of sea-level rise on barrier island groundwater system dynamics: ecohydrological implications","interactions":[],"lastModifiedDate":"2018-05-17T13:18:18","indexId":"70048576","displayToPublicDate":"2013-11-01T13:55:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1447,"text":"Ecohydrology","active":true,"publicationSubtype":{"id":10}},"title":"Effects of sea-level rise on barrier island groundwater system dynamics: ecohydrological implications","docAbstract":"We used a numerical model to investigate how a barrier island groundwater system responds to increases of up to 60 cm in sea level. We found that a sea-level rise of 20 cm leads to substantial changes in the depth of the water table and the extent and depth of saltwater intrusion, which are key determinants in the establishment, distribution and succession of vegetation assemblages and habitat suitability in barrier islands ecosystems. In our simulations, increases in water-table height in areas with a shallow depth to water (or thin vadose zone) resulted in extensive groundwater inundation of land surface and a thinning of the underlying freshwater lens. We demonstrated the interdependence of the groundwater response to island morphology by evaluating changes at three sites. This interdependence can have a profound effect on ecosystem composition in these fragile coastal landscapes under long-term changing climatic conditions.","language":"English","publisher":"Wiley","doi":"10.1002/eco.1442","usgsCitation":"Masterson, J., Fienen, M., Thieler, E.R., Gesch, D.B., Gutierrez, B.T., and Plant, N.G., 2014, Effects of sea-level rise on barrier island groundwater system dynamics: ecohydrological implications: Ecohydrology, v. 7, no. 3, p. 1064-1071, https://doi.org/10.1002/eco.1442.","productDescription":"8 p.","startPage":"1064","endPage":"1071","numberOfPages":"8","ipdsId":"IP-052149","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true},{"id":376,"text":"Massachusetts Water Science Center","active":true,"usgs":true},{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"links":[{"id":473334,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://hdl.handle.net/1912/6750","text":"External Repository"},{"id":281031,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":281029,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1002/eco.1442"}],"country":"United States","state":"Maryl;Virginia","otherGeospatial":"Assateague Island","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -75.407677,37.859455 ], [ -75.407677,38.272015 ], [ -75.117615,38.272015 ], [ -75.117615,37.859455 ], [ -75.407677,37.859455 ] ] ] } } ] }","volume":"7","issue":"3","noUsgsAuthors":false,"publicationDate":"2013-11-12","publicationStatus":"PW","scienceBaseUri":"53ae769de4b0abf75cf2bfc4","contributors":{"authors":[{"text":"Masterson, John P. 0000-0003-3202-4413 jpmaster@usgs.gov","orcid":"https://orcid.org/0000-0003-3202-4413","contributorId":1865,"corporation":false,"usgs":true,"family":"Masterson","given":"John P.","email":"jpmaster@usgs.gov","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":false,"id":485117,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"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":485116,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Thieler, E. Robert 0000-0003-4311-9717 rthieler@usgs.gov","orcid":"https://orcid.org/0000-0003-4311-9717","contributorId":2488,"corporation":false,"usgs":true,"family":"Thieler","given":"E.","email":"rthieler@usgs.gov","middleInitial":"Robert","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":485118,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gesch, Dean B. 0000-0002-8992-4933 gesch@usgs.gov","orcid":"https://orcid.org/0000-0002-8992-4933","contributorId":2956,"corporation":false,"usgs":true,"family":"Gesch","given":"Dean","email":"gesch@usgs.gov","middleInitial":"B.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true},{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true},{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":485119,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Gutierrez, Benjamin T.","contributorId":58670,"corporation":false,"usgs":true,"family":"Gutierrez","given":"Benjamin","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":485121,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Plant, Nathaniel G. 0000-0002-5703-5672 nplant@usgs.gov","orcid":"https://orcid.org/0000-0002-5703-5672","contributorId":3503,"corporation":false,"usgs":true,"family":"Plant","given":"Nathaniel","email":"nplant@usgs.gov","middleInitial":"G.","affiliations":[{"id":508,"text":"Office of the AD Hazards","active":true,"usgs":true},{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":485120,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70048649,"text":"70048649 - 2014 - Rapid dispersal of saltcedar (Tamarix spp.) biocontrol beetles (Diorhabda carinulata) on a desert river detected by phenocams, MODIS imagery and ground observations","interactions":[],"lastModifiedDate":"2025-12-12T14:17:57.563074","indexId":"70048649","displayToPublicDate":"2013-10-28T10:42:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3254,"text":"Remote Sensing of Environment","printIssn":"0034-4257","active":true,"publicationSubtype":{"id":10}},"title":"Rapid dispersal of saltcedar (Tamarix spp.) biocontrol beetles (Diorhabda carinulata) on a desert river detected by phenocams, MODIS imagery and ground observations","docAbstract":"We measured the rate of dispersal of saltcedar leaf beetles (<i>Diorhabda carinulata</i>), a defoliating insect released on western rivers to control saltcedar shrubs (<i>Tamarix</i> spp.), on a 63 km reach of the Virgin River, U.S. Dispersal was measured by satellite imagery, ground surveys and phenocams. Pixels from the Moderate Resolution Imaging Spectrometer (MODIS) sensors on the Terra satellite showed a sharp drop in NDVI in midsummer followed by recovery, correlated with defoliation events as revealed in networked digital camera images and ground surveys. Ground surveys and MODIS imagery showed that beetle damage progressed downstream at a rate of about 25 km yr<sup>−1</sup> in 2010 and 2011, producing a 50% reduction in saltcedar leaf area index and evapotranspiration by 2012, as estimated by algorithms based on MODIS Enhanced Vegetation Index values and local meteorological data for Mesquite, Nevada. This reduction is the equivalent of 10.4% of mean annual river flows on this river reach. Our results confirm other observations that saltcedar beetles are dispersing much faster than originally predicted in pre-release biological assessments, presenting new challenges and opportunities for land, water and wildlife managers on western rivers. Despite relatively coarse resolution (250 m) and gridding artifacts, single MODIS pixels can be useful in tracking the effects of defoliating insects in riparian corridors.","language":"English","publisher":"Elsevier","doi":"10.1016/j.rse.2013.08.017","usgsCitation":"Nagler, P.L., Pearlstein, S., Glenn, E.P., Brown, T.B., Bateman, H.L., Bean, D., and Hultine, K.R., 2014, Rapid dispersal of saltcedar (Tamarix spp.) biocontrol beetles (Diorhabda carinulata) on a desert river detected by phenocams, MODIS imagery and ground observations: Remote Sensing of Environment, v. 140, p. 206-219, https://doi.org/10.1016/j.rse.2013.08.017.","productDescription":"14 p.","startPage":"206","endPage":"219","numberOfPages":"14","ipdsId":"IP-044868","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":278471,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":278470,"rank":1,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.rse.2013.08.017"}],"country":"United States","state":"Arizona, Nevada","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -114.350000,36.500000 ], [ -114.350000,37.000000 ], [ -113.991667,37.000000 ], [ -113.991667,36.500000 ], [ -114.350000,36.500000 ] ] ] } } ] }","volume":"140","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"526f7972e4b0493c992e9972","contributors":{"authors":[{"text":"Nagler, Pamela L. 0000-0003-0674-103X pnagler@usgs.gov","orcid":"https://orcid.org/0000-0003-0674-103X","contributorId":1398,"corporation":false,"usgs":true,"family":"Nagler","given":"Pamela","email":"pnagler@usgs.gov","middleInitial":"L.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":485286,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pearlstein, Susanna","contributorId":107577,"corporation":false,"usgs":true,"family":"Pearlstein","given":"Susanna","affiliations":[],"preferred":false,"id":485292,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Glenn, Edward P.","contributorId":19289,"corporation":false,"usgs":true,"family":"Glenn","given":"Edward","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":485287,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Brown, Tim B.","contributorId":57360,"corporation":false,"usgs":true,"family":"Brown","given":"Tim","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":485289,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bateman, Heather L.","contributorId":72294,"corporation":false,"usgs":true,"family":"Bateman","given":"Heather","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":485291,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Bean, Dan W.","contributorId":58133,"corporation":false,"usgs":true,"family":"Bean","given":"Dan W.","affiliations":[],"preferred":false,"id":485290,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Hultine, Kevin R. 0000-0001-9747-6037","orcid":"https://orcid.org/0000-0001-9747-6037","contributorId":23772,"corporation":false,"usgs":true,"family":"Hultine","given":"Kevin","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":485288,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70205771,"text":"70205771 - 2014 - Aquatic ecosystems as indicators of status and trends in water quality","interactions":[],"lastModifiedDate":"2019-10-02T17:18:43","indexId":"70205771","displayToPublicDate":"2013-10-21T17:18:14","publicationYear":"2014","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"chapter":"1.9","title":"Aquatic ecosystems as indicators of status and trends in water quality","docAbstract":"<p><span>This chapter provides an introduction and overview of the use of&nbsp;aquatic ecosystems&nbsp;as indicators of water quality. The monitoring of biological communities (fish, algae, and invertebrates) as a means of assessing water quality conditions is emphasized along with ecotoxicological studies and measures of ecosystem function. Issues related to the design, implementation, and analysis of monitoring programs are reviewed and discussed with the objective of continually improving water quality conditions through&nbsp;</span>adaptive management<span>.</span></p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Comprehensive Water Quality and Purification","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Elsevier","doi":"10.1016/B978-0-12-382182-9.00008-6","usgsCitation":"Cuffney, T.F., Kennen, J., and Waite, I.R., 2014, Aquatic ecosystems as indicators of status and trends in water quality, chap. 1.9 <i>of</i> Comprehensive Water Quality and Purification, v. 1, p. 122-156, https://doi.org/10.1016/B978-0-12-382182-9.00008-6.","startPage":"122","endPage":"156","ipdsId":"IP-042636","costCenters":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true},{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true},{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"links":[{"id":367939,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"1","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Cuffney, Thomas F. 0000-0003-1164-5560","orcid":"https://orcid.org/0000-0003-1164-5560","contributorId":205649,"corporation":false,"usgs":true,"family":"Cuffney","given":"Thomas","email":"","middleInitial":"F.","affiliations":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"preferred":true,"id":772273,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kennen, Jonathan G. 0000-0002-5426-4445 jgkennen@usgs.gov","orcid":"https://orcid.org/0000-0002-5426-4445","contributorId":574,"corporation":false,"usgs":true,"family":"Kennen","given":"Jonathan G.","email":"jgkennen@usgs.gov","affiliations":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"preferred":true,"id":772272,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Waite, Ian R. 0000-0003-1681-6955 iwaite@usgs.gov","orcid":"https://orcid.org/0000-0003-1681-6955","contributorId":616,"corporation":false,"usgs":true,"family":"Waite","given":"Ian","email":"iwaite@usgs.gov","middleInitial":"R.","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":true,"id":772271,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70048499,"text":"70048499 - 2014 - Environmental impacts of utility-scale solar energy","interactions":[],"lastModifiedDate":"2013-10-30T11:03:23","indexId":"70048499","displayToPublicDate":"2013-10-18T14:34:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3257,"text":"Renewable and Sustainable Energy Reviews","active":true,"publicationSubtype":{"id":10}},"title":"Environmental impacts of utility-scale solar energy","docAbstract":"Renewable energy is a promising alternative to fossil fuel-based energy, but its development can require a complex set of environmental tradeoffs. A recent increase in solar energy systems, especially large, centralized installations, underscores the urgency of understanding their environmental interactions. Synthesizing literature across numerous disciplines, we review direct and indirect environmental impacts – both beneficial and adverse – of utility-scale solar energy (USSE) development, including impacts on biodiversity, land-use and land-cover change, soils, water resources, and human health. Additionally, we review feedbacks between USSE infrastructure and land-atmosphere interactions and the potential for USSE systems to mitigate climate change. Several characteristics and development strategies of USSE systems have low environmental impacts relative to other energy systems, including other renewables. We show opportunities to increase USSE environmental co-benefits, the permitting and regulatory constraints and opportunities of USSE, and highlight future research directions to better understand the nexus between USSE and the environment. Increasing the environmental compatibility of USSE systems will maximize the efficacy of this key renewable energy source in mitigating climatic and global environmental change.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Renewable and Sustainable Energy Reviews","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","doi":"10.1016/j.rser.2013.08.041","usgsCitation":"Hernandez, R., Easter, S., Murphy-Mariscal, M.L., Maestre, F., Tavassoli, M., Allen, E., Barrows, C., Belnap, J., Ochoa-Hueso, R., Ravi, S., and Allen, M., 2014, Environmental impacts of utility-scale solar energy: Renewable and Sustainable Energy Reviews, v. 29, p. 766-779, https://doi.org/10.1016/j.rser.2013.08.041.","productDescription":"14 p.","startPage":"766","endPage":"779","ipdsId":"IP-049628","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":473338,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://escholarship.org/uc/item/62w112cg","text":"External Repository"},{"id":278277,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":278235,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.rser.2013.08.041"}],"volume":"29","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"52624a67e4b079a99629a0df","contributors":{"authors":[{"text":"Hernandez, R.R.","contributorId":38464,"corporation":false,"usgs":true,"family":"Hernandez","given":"R.R.","email":"","affiliations":[],"preferred":false,"id":484842,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Easter, S.B.","contributorId":41731,"corporation":false,"usgs":true,"family":"Easter","given":"S.B.","email":"","affiliations":[],"preferred":false,"id":484843,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Murphy-Mariscal, M. L.","contributorId":25069,"corporation":false,"usgs":true,"family":"Murphy-Mariscal","given":"M.","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":484840,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Maestre, F.T.","contributorId":98959,"corporation":false,"usgs":true,"family":"Maestre","given":"F.T.","affiliations":[],"preferred":false,"id":484848,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Tavassoli, M.","contributorId":62925,"corporation":false,"usgs":true,"family":"Tavassoli","given":"M.","email":"","affiliations":[],"preferred":false,"id":484846,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Allen, E.B.","contributorId":65803,"corporation":false,"usgs":true,"family":"Allen","given":"E.B.","email":"","affiliations":[],"preferred":false,"id":484847,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Barrows, C.W.","contributorId":32746,"corporation":false,"usgs":true,"family":"Barrows","given":"C.W.","email":"","affiliations":[],"preferred":false,"id":484841,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Belnap, J. 0000-0001-7471-2279","orcid":"https://orcid.org/0000-0001-7471-2279","contributorId":23872,"corporation":false,"usgs":true,"family":"Belnap","given":"J.","affiliations":[],"preferred":false,"id":484839,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Ochoa-Hueso, R.","contributorId":107951,"corporation":false,"usgs":true,"family":"Ochoa-Hueso","given":"R.","affiliations":[],"preferred":false,"id":484849,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Ravi, S.","contributorId":45977,"corporation":false,"usgs":true,"family":"Ravi","given":"S.","affiliations":[],"preferred":false,"id":484844,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Allen, M.F.","contributorId":51563,"corporation":false,"usgs":true,"family":"Allen","given":"M.F.","email":"","affiliations":[],"preferred":false,"id":484845,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}}
,{"id":70048518,"text":"70048518 - 2014 - Net ecosystem productivity of temperate grasslands in northern China: An upscaling study","interactions":[],"lastModifiedDate":"2013-10-18T14:11:57","indexId":"70048518","displayToPublicDate":"2013-10-18T14:02:35","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":681,"text":"Agricultural and Forest Meteorology","active":true,"publicationSubtype":{"id":10}},"title":"Net ecosystem productivity of temperate grasslands in northern China: An upscaling study","docAbstract":"Grassland is one of the widespread biome types globally, and plays an important role in the terrestrial carbon cycle. We examined net ecosystem production (NEP) for the temperate grasslands in northern China from 2000 to 2010. We combined flux observations, satellite data, and climate data to develop a piecewise regression model for NEP, and then used the model to map NEP for grasslands in northern China. Over the growing season, the northern China's grassland had a net carbon uptake of 158 ± 25 g C m<sup>−2</sup> during 2000–2010 with the mean regional NEP estimate of 126 Tg C. Our results showed generally higher grassland NEP at high latitudes (northeast) than at low latitudes (central and west) because of different grassland types and environmental conditions. In the northeast, which is dominated by meadow steppes, the growing season NEP generally reached 200–300 g C m<sup>−2</sup>. In the southwest corner of the region, which is partially occupied by alpine meadow systems, the growing season NEP also reached 200–300 g C m<sup>−2</sup>. In the central part, which is dominated by typical steppe systems, the growing season NEP generally varied in the range of 100–200 g C m−2. The NEP of the northern China's grasslands was highly variable through years, ranging from 129 (2001) to 217 g C m<sup>−2</sup> growing season<sup>−1</sup> (2010). The large interannual variations of NEP could be attributed to the sensitivity of temperate grasslands to climate changes and extreme climatic events. The droughts in 2000, 2001, and 2006 reduced the carbon uptake over the growing season by 11%, 29%, and 16% relative to the long-term (2000–2010) mean. Over the study period (2000–2010), precipitation was significantly correlated with NEP for the growing season (R<sup>2</sup> = 0.35, p-value < 0.1), indicating that water availability is an important stressor for the productivity of the temperate grasslands in semi-arid and arid regions in northern China. We conclude that northern temperate grasslands have the potential to sequester carbon, but the capacity of carbon sequestration depends on grassland types and environmental conditions. Extreme climate events like drought can significantly reduce the net carbon uptake of grasslands.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Agricultural and Forest Meteorology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","doi":"10.1016/j.agrformet.2013.09.004","usgsCitation":"Zhang, L., Guo, H., Jia, G., Wylie, B., Gilmanov, T., Howard, D., Ji, L., Xiao, J., Li, J., Yuan, W., Zhao, T., Chen, S., Zhou, G., and Kato, T., 2014, Net ecosystem productivity of temperate grasslands in northern China: An upscaling study: Agricultural and Forest Meteorology, v. 184, p. 71-81, https://doi.org/10.1016/j.agrformet.2013.09.004.","productDescription":"11 p.","startPage":"71","endPage":"81","ipdsId":"IP-051428","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) 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,{"id":70200540,"text":"70200540 - 2014 - Historical records, sources, and spatial trends of PCBs along the Rhône River (France).","interactions":[],"lastModifiedDate":"2018-10-23T13:16:54","indexId":"70200540","displayToPublicDate":"2013-10-10T12:57:58","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1226,"text":"Chemosphere","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Historical records, sources, and spatial trends of PCBs along the Rhône River (France).","title":"Historical records, sources, and spatial trends of PCBs along the Rhône River (France).","docAbstract":"<p><span>Despite bans on PCB use since 1975 (open systems) and 1987 (closed systems), concentrations of PCBs in riverine fish in France continue to exceed regulatory levels. We present historical records of PCB concentrations in sediment cores from eight sites on the Rhône River, from Lake Geneva to the Mediterranean Sea. Maximum PCB concentrations (sum of seven indicator PCBs) increase downstream, from 11.50 μg/kg at the most upstream site to 417.1 μg/kg at the most downstream site. At some sites peak concentrations occur in sediment deposited as recently as the 2000s. Hierarchical clustering (five clusters) identified differences in PCB congener profiles within and between sites. Exponential models fit to decadal time windows indicate that rapid reductions in concentrations during about 1990-2000 have slowed, and that it might be decades before target concentrations in sediment that correspond to regulatory thresholds in fish will be reached at some sites.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.scitotenv.2014.01.026","usgsCitation":"Mourier, B., Desmet, M., Van Metre, P.C., Mahler, B., Perrodin, Y., Roux, G., Bedell, J., Lefebvre, L.W., and Babut, M., 2014, Historical records, sources, and spatial trends of PCBs along the Rhône River (France).: Chemosphere, v. 476-477, p. 568-576, https://doi.org/10.1016/j.scitotenv.2014.01.026.","productDescription":"9 p.","startPage":"568","endPage":"576","ipdsId":"IP-052735","costCenters":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research 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Marc","contributorId":86210,"corporation":false,"usgs":true,"family":"Babut","given":"Marc","email":"","affiliations":[],"preferred":false,"id":749431,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70056316,"text":"70056316 - 2014 - Relative significance of microtopography and vegetation as controls on surface water flow on a low-gradient floodplain","interactions":[],"lastModifiedDate":"2014-02-03T11:16:52","indexId":"70056316","displayToPublicDate":"2013-10-01T12:55:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3750,"text":"Wetlands","onlineIssn":"1943-6246","printIssn":"0277-5212","active":true,"publicationSubtype":{"id":10}},"title":"Relative significance of microtopography and vegetation as controls on surface water flow on a low-gradient floodplain","docAbstract":"Surface water flow controls water velocities, water depths, and residence times, and influences sediment and nutrient transport and other ecological processes in shallow aquatic systems. Flow through wetlands is substantially influenced by drag on vegetation stems but is also affected by microtopography. Our goal was to use microtopography data directly in a widely used wetland model while retaining the advantages of the model’s one-dimensional structure. The base simulation with no explicit treatment of microtopography only performed well for a period of high water when vegetation dominated flow resistance. Extended simulations using microtopography can improve the fit to low-water conditions substantially. The best fit simulation had a flow conductance parameter that decreased in value by 70 % during dry season such that mcrotopographic features blocked 40 % of the cross sectional width for flow. Modeled surface water became ponded and flow ceased when 85 % of the cross sectional width became blocked by microtopographic features. We conclude that vegetation drag dominates wetland flow resistance at higher water levels and microtopography dominates at low water levels with the threshold delineated by the top of microtopographic features. Our results support the practicality of predicting flow on floodplains using relatively easily measured physical and biological variables.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Wetlands","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Springer","doi":"10.1007/s13157-013-0489-7","usgsCitation":"Choi, J., and Harvey, J.W., 2014, Relative significance of microtopography and vegetation as controls on surface water flow on a low-gradient floodplain: Wetlands, v. 34, no. 1, p. 101-115, https://doi.org/10.1007/s13157-013-0489-7.","productDescription":"15 p.","startPage":"101","endPage":"115","numberOfPages":"15","onlineOnly":"Y","ipdsId":"IP-051999","costCenters":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"links":[{"id":279178,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":279165,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s13157-013-0489-7"}],"country":"United States","state":"Florida","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -80.75,25.5 ], [ -80.75,26.5 ], [ -80.25,26.5 ], [ -80.25,25.5 ], [ -80.75,25.5 ] ] ] } } ] }","volume":"34","issue":"1","noUsgsAuthors":false,"publicationDate":"2013-10-25","publicationStatus":"PW","scienceBaseUri":"528c96b9e4b0c629af44ddfb","contributors":{"authors":[{"text":"Choi, Jungyill","contributorId":70792,"corporation":false,"usgs":true,"family":"Choi","given":"Jungyill","email":"","affiliations":[],"preferred":false,"id":486522,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Harvey, Judson W. 0000-0002-2654-9873 jwharvey@usgs.gov","orcid":"https://orcid.org/0000-0002-2654-9873","contributorId":1796,"corporation":false,"usgs":true,"family":"Harvey","given":"Judson","email":"jwharvey@usgs.gov","middleInitial":"W.","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":486521,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70073700,"text":"70073700 - 2014 - SemantEco: a semantically powered modular architecture for integrating distributed environmental and ecological data","interactions":[],"lastModifiedDate":"2018-08-10T16:53:02","indexId":"70073700","displayToPublicDate":"2013-09-27T16:10:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1714,"text":"Future Generation Computer Systems","active":true,"publicationSubtype":{"id":10}},"title":"SemantEco: a semantically powered modular architecture for integrating distributed environmental and ecological data","docAbstract":"We aim to inform the development of decision support tools for resource managers who need to examine large complex ecosystems and make recommendations in the face of many tradeoffs and conflicting drivers. We take a semantic technology approach, leveraging background ontologies and the growing body of linked open data. In previous work, we designed and implemented a semantically enabled environmental monitoring framework called SemantEco and used it to build a water quality portal named SemantAqua. Our previous system included foundational ontologies to support environmental regulation violations and relevant human health effects. In this work, we discuss SemantEco’s new architecture that supports modular extensions and makes it easier to support additional domains. Our enhanced framework includes foundational ontologies to support modeling of wildlife observation and wildlife health impacts, thereby enabling deeper and broader support for more holistically examining the effects of environmental pollution on ecosystems. We conclude with a discussion of how, through the application of semantic technologies, modular designs will make it easier for resource managers to bring in new sources of data to support more complex use cases.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Future Generation Computer Systems","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","doi":"10.1016/j.future.2013.09.017","usgsCitation":"Patton, E.W., Seyed, P., Wang, P., Fu, L., Dein, F.J., Bristol, R., and McGuinness, D.L., 2014, SemantEco: a semantically powered modular architecture for integrating distributed environmental and ecological data: Future Generation Computer Systems, v. 36, p. 430-440, https://doi.org/10.1016/j.future.2013.09.017.","productDescription":"11 p.","startPage":"430","endPage":"440","numberOfPages":"11","ipdsId":"IP-050938","costCenters":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true},{"id":37226,"text":"Core Science Analytics, Synthesis, and Libraries","active":true,"usgs":true}],"links":[{"id":281355,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":281354,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.future.2013.09.017"}],"volume":"36","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"537717d7e4b02eab8669ef0e","contributors":{"authors":[{"text":"Patton, Evan W.","contributorId":51649,"corporation":false,"usgs":true,"family":"Patton","given":"Evan","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":489053,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Seyed, Patrice","contributorId":7618,"corporation":false,"usgs":true,"family":"Seyed","given":"Patrice","email":"","affiliations":[],"preferred":false,"id":489052,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wang, Ping","contributorId":78646,"corporation":false,"usgs":false,"family":"Wang","given":"Ping","email":"","affiliations":[{"id":7163,"text":"University of South Florida","active":true,"usgs":false}],"preferred":false,"id":489055,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Fu, Linyun","contributorId":62928,"corporation":false,"usgs":true,"family":"Fu","given":"Linyun","email":"","affiliations":[],"preferred":false,"id":489054,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Dein, F. Joshua fjdein@usgs.gov","contributorId":2772,"corporation":false,"usgs":true,"family":"Dein","given":"F.","email":"fjdein@usgs.gov","middleInitial":"Joshua","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":false,"id":489051,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Bristol, R. Sky 0000-0003-1682-4031","orcid":"https://orcid.org/0000-0003-1682-4031","contributorId":88196,"corporation":false,"usgs":true,"family":"Bristol","given":"R. Sky","affiliations":[],"preferred":false,"id":489056,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"McGuinness, Deborah L.","contributorId":98216,"corporation":false,"usgs":true,"family":"McGuinness","given":"Deborah","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":489057,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70047928,"text":"70047928 - 2014 - Discharges of produced waters from oil and gas extraction via wastewater treatment plants are sources of disinfection by-products to receiving streams","interactions":[],"lastModifiedDate":"2018-09-18T16:28:36","indexId":"70047928","displayToPublicDate":"2013-08-30T15:39:00","publicationYear":"2014","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":"Discharges of produced waters from oil and gas extraction via wastewater treatment plants are sources of disinfection by-products to receiving streams","docAbstract":"Fluids co-produced with oil and gas production (produced waters) are often brines that contain elevated concentrations of bromide. Bromide is an important precursor of several toxic disinfection by-products (DBPs) and the treatment of produced water may lead to more brominated DBPs. To determine if wastewater treatment plants that accept produced waters discharge greater amounts of brominated DBPs, water samples were collected in Pennsylvania from four sites along a large river including an upstream site, a site below a publicly owned wastewater treatment plant (POTW) outfall (does not accept produced water), a site below an oil and gas commercial wastewater treatment plant (CWT) outfall, and downstream of the POTW and CWT. Of 29 DBPs analyzed, the site at the POTW outfall had the highest number detected (six) ranging in concentration from 0.01 to 0.09 μg L<sup>− 1</sup> with a similar mixture of DBPs that have been detected at POTW outfalls elsewhere in the United States. The DBP profile at the CWT outfall was much different, although only two DBPs, dibromochloronitromethane (DBCNM) and chloroform, were detected, DBCNM was found at relatively high concentrations (up to 8.5 μg L<sup>− 1</sup>). The water at the CWT outfall also had a mixture of inorganic and organic precursors including elevated concentrations of bromide (75 mg L<sup>− 1</sup>) and other organic DBP precursors (phenol at 15 μg L<sup>− 1</sup>). To corroborate these DBP results, samples were collected in Pennsylvania from additional POTW and CWT outfalls that accept produced waters. The additional CWT also had high concentrations of DBCNM (3.1 μg L<sup>− 1</sup>) while the POTWs that accept produced waters had elevated numbers (up to 15) and concentrations of DBPs, especially brominated and iodinated THMs (up to 12 μg L<sup>− 1</sup> total THM concentration). Therefore, produced water brines that have been disinfected are potential sources of DBPs along with DBP precursors to streams wherever these wastewaters are discharged.","language":"English","publisher":"Elsevier","doi":"10.1016/j.scitotenv.2013.08.008","usgsCitation":"Hladik, M., Focazio, M.J., and Engle, M., 2014, Discharges of produced waters from oil and gas extraction via wastewater treatment plants are sources of disinfection by-products to receiving streams: Science of the Total Environment, v. 466-467, p. 1085-1093, https://doi.org/10.1016/j.scitotenv.2013.08.008.","productDescription":"9 p.","startPage":"1085","endPage":"1093","ipdsId":"IP-045051","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":277192,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.scitotenv.2013.08.008"},{"id":277215,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"466-467","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5221b0d2e4b001cbb8a34e8f","contributors":{"authors":[{"text":"Hladik, Michelle 0000-0002-0891-2712 mhladik@usgs.gov","orcid":"https://orcid.org/0000-0002-0891-2712","contributorId":784,"corporation":false,"usgs":true,"family":"Hladik","given":"Michelle","email":"mhladik@usgs.gov","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":false,"id":483315,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Focazio, Michael J. 0000-0003-0967-5576 mfocazio@usgs.gov","orcid":"https://orcid.org/0000-0003-0967-5576","contributorId":1276,"corporation":false,"usgs":true,"family":"Focazio","given":"Michael","email":"mfocazio@usgs.gov","middleInitial":"J.","affiliations":[{"id":38175,"text":"Toxics Substances Hydrology Program","active":true,"usgs":true},{"id":5056,"text":"Office of the AD Energy and Minerals, and Environmental Health","active":true,"usgs":true}],"preferred":true,"id":483316,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Engle, Mark 0000-0001-5258-7374","orcid":"https://orcid.org/0000-0001-5258-7374","contributorId":9364,"corporation":false,"usgs":true,"family":"Engle","given":"Mark","affiliations":[],"preferred":false,"id":483317,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70133842,"text":"70133842 - 2014 - Characterizing the distribution of particles in urban stormwater: advancements through improved sampling technology","interactions":[],"lastModifiedDate":"2015-01-13T09:30:00","indexId":"70133842","displayToPublicDate":"2013-08-19T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3826,"text":"Urban Water Journal","active":true,"publicationSubtype":{"id":10}},"title":"Characterizing the distribution of particles in urban stormwater: advancements through improved sampling technology","docAbstract":"<p>A new sample collection system was developed to improve the representation of sediment in stormwater by integrating the entire water column. The depth-integrated sampler arm (DISA) was able to mitigate sediment stratification bias in storm water, thereby improving the characterization of particle size distribution from urban source areas. Collector streets had the lowest median particle diameter of 8&nbsp;&mu;m, followed by parking lots, arterial streets, feeder streets, and residential and mixed land use (32, 43, 50, 80 and 95&nbsp;&mu;m, respectively). Results from this study suggest there is no single distribution of particles that can be applied uniformly to runoff in urban environments; however, integrating more of the entire water column during the sample collection can address some of the shortcomings of a fixed-point sampler by reducing variability and bias caused by the stratification of solids in a water column.</p>","language":"English","publisher":"Taylor & Francis","doi":"10.1080/1573062X.2013.820334","usgsCitation":"Selbig, W.R., 2014, Characterizing the distribution of particles in urban stormwater: advancements through improved sampling technology: Urban Water Journal, v. 12, no. 2, p. 111-119, https://doi.org/10.1080/1573062X.2013.820334.","productDescription":"9 p.","startPage":"111","endPage":"119","numberOfPages":"9","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-045735","costCenters":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"links":[{"id":296447,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"12","issue":"2","noUsgsAuthors":false,"publicationDate":"2013-08-19","publicationStatus":"PW","scienceBaseUri":"548193b9e4b0aa6d778520e4","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":525470,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70112697,"text":"tm5.2.2.B - 2014 - Chapter A5. Section 2.2B. Syringe-Filter Procedure for Processing Samples for Analysis of Organic Compounds by DAI LC-MS/MS","interactions":[],"lastModifiedDate":"2021-05-27T14:01:14.644066","indexId":"tm5.2.2.B","displayToPublicDate":"2013-08-18T09:01:00","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":335,"text":"Techniques and Methods","code":"TM","onlineIssn":"2328-7055","printIssn":"2328-7047","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"5.2.2.B","title":"Chapter A5. Section 2.2B. Syringe-Filter Procedure for Processing Samples for Analysis of Organic Compounds by DAI LC-MS/MS","docAbstract":"This section of chapter 5 of the <i>National Field Manual for the Collection of Water-Quality Data (NFM)</i> describes the field procedures for collecting small-volume samples using a syringe-tip filtration method. The samples are sent to the U.S. Geological Survey (USGS) National Water Quality Laboratory (NWQL) for analysis of organic compounds by direct aqueous injection high-performance liquid chromatography/tandem mass spectrometry (DAI LC-MS/MS).\n\nThe DAI LC-MS/MS method was developed specifically for NWQL analytical schedules 2437 (pesticides) and 2440 (pharmaceuticals) and should not be considered transferrable or applicable to other types of samples to be analyzed using methods other than those that use DAI LC-MS/MS or other tandem mass\nspectrometry methods.","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"National Field Manual for the Collection of Water-Quality Data. U.S. Geological Survey Techniques of Water-Resources Investigations, Book 9","largerWorkSubtype":{"id":5,"text":"USGS Numbered Series"},"language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/tm5.2.2.B","usgsCitation":"Sandstrom, M.W., and Wilde, F.D., 2014, Chapter A5. Section 2.2B. Syringe-Filter Procedure for Processing Samples for Analysis of Organic Compounds by DAI LC-MS/MS (Version 3.1): U.S. Geological Survey Techniques and Methods 5.2.2.B, 10 p., https://doi.org/10.3133/tm5.2.2.B.","productDescription":"10 p.","onlineOnly":"Y","ipdsId":"IP-057027","costCenters":[{"id":452,"text":"National Water Quality Laboratory","active":true,"usgs":true},{"id":503,"text":"Office of Water Quality","active":true,"usgs":true}],"links":[{"id":292359,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":292345,"type":{"id":15,"text":"Index Page"},"url":"https://water.usgs.gov/owq/FieldManual/chapter5/pdf/5.2.2.B.pdf"}],"edition":"Version 3.1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53f25fdae4b03334187188fc","contributors":{"authors":[{"text":"Sandstrom, Mark W. 0000-0003-0006-5675 sandstro@usgs.gov","orcid":"https://orcid.org/0000-0003-0006-5675","contributorId":706,"corporation":false,"usgs":true,"family":"Sandstrom","given":"Mark","email":"sandstro@usgs.gov","middleInitial":"W.","affiliations":[{"id":5046,"text":"Branch of Analytical Serv (NWQL)","active":true,"usgs":true},{"id":452,"text":"National Water Quality Laboratory","active":true,"usgs":true},{"id":37464,"text":"WMA - Laboratory & Analytical Services Division","active":true,"usgs":true},{"id":503,"text":"Office of Water Quality","active":true,"usgs":true}],"preferred":true,"id":494841,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wilde, Franceska D. fwilde@usgs.gov","contributorId":92240,"corporation":false,"usgs":true,"family":"Wilde","given":"Franceska","email":"fwilde@usgs.gov","middleInitial":"D.","affiliations":[],"preferred":false,"id":494842,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70047589,"text":"70047589 - 2014 - Improvement of the R-SWAT-FME framework to support multiple variables and multi-objective functions","interactions":[],"lastModifiedDate":"2013-08-26T11:43:19","indexId":"70047589","displayToPublicDate":"2013-08-13T13:24:00","publicationYear":"2014","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":"Improvement of the R-SWAT-FME framework to support multiple variables and multi-objective functions","docAbstract":"Application of numerical models is a common practice in the environmental field for investigation and prediction of natural and anthropogenic processes. However, process knowledge, parameter identifiability, sensitivity, and uncertainty analyses are still a challenge for large and complex mathematical models such as the hydrological/water quality model, Soil and Water Assessment Tool (SWAT). In this study, the previously developed R program language-SWAT-Flexible Modeling Environment (R-SWAT-FME) was improved to support multiple model variables and objectives at multiple time steps (i.e., daily, monthly, and annually). This expansion is significant because there is usually more than one variable (e.g., water, nutrients, and pesticides) of interest for environmental models like SWAT. To further facilitate its easy use, we also simplified its application requirements without compromising its merits, such as the user-friendly interface. To evaluate the performance of the improved framework, we used a case study focusing on both streamflow and nitrate nitrogen in the Upper Iowa River Basin (above Marengo) in the United States. Results indicated that the R-SWAT-FME performs well and is comparable to the built-in auto-calibration tool in multi-objective model calibration. Overall, the enhanced R-SWAT-FME can be useful for the SWAT community, and the methods we used can also be valuable for wrapping potential R packages with other environmental models.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Science of the Total Environment","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","doi":"10.1016/j.scitotenv.2013.07.048","usgsCitation":"Wu, Y., and Liu, S., 2014, Improvement of the R-SWAT-FME framework to support multiple variables and multi-objective functions: Science of the Total Environment, v. 466-467, p. 455-466, https://doi.org/10.1016/j.scitotenv.2013.07.048.","productDescription":"12 p.","startPage":"455","endPage":"466","ipdsId":"IP-044026","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":276578,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":276577,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.scitotenv.2013.07.048"}],"volume":"466-467","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"520b81eee4b0d6ca46067dac","contributors":{"authors":[{"text":"Wu, Yiping ywu@usgs.gov","contributorId":987,"corporation":false,"usgs":true,"family":"Wu","given":"Yiping","email":"ywu@usgs.gov","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":482475,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Liu, Shu-Guang sliu@usgs.gov","contributorId":984,"corporation":false,"usgs":true,"family":"Liu","given":"Shu-Guang","email":"sliu@usgs.gov","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":false,"id":482474,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70046213,"text":"70046213 - 2014 - Mercury cycling in agricultural and managed wetlands of California: experimental evidence of vegetation-driven changes in sediment biogeochemistry and methylmercury production","interactions":[],"lastModifiedDate":"2018-09-18T16:23:32","indexId":"70046213","displayToPublicDate":"2013-07-29T15:01:00","publicationYear":"2014","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":"Mercury cycling in agricultural and managed wetlands of California: experimental evidence of vegetation-driven changes in sediment biogeochemistry and methylmercury production","docAbstract":"The role of live vegetation in sediment methylmercury (MeHg) production and associated biogeochemistry was examined in three types of agricultural wetlands (domesticated or white rice, wild rice, and fallow fields) and adjacent managed natural wetlands (cattail- and bulrush or tule-dominated) in the Yolo Bypass region of California's Central Valley, USA. During the active growing season for each wetland, a vegetated:de-vegetated paired plot experiment demonstrated that the presence of live plants enhanced microbial rates of mercury methylation by 20 to 669% (median = 280%) compared to de-vegetated plots. Labile carbon exudation by roots appeared to be the primary mechanism by which microbial methylation was enhanced in the presence of vegetation. Pore-water acetate (pw[Ac]) decreased significantly with de-vegetation (63 to 99%) among all wetland types, and within cropped fields, pw[Ac] was correlated with both root density (r = 0.92) and microbial Hg(II) methylation (k<sub>meth</sub>. r = 0.65). Sediment biogeochemical responses to de-vegetation were inconsistent between treatments for “reactive Hg” (Hg(II)R), as were reduced sulfur and sulfate reduction rates. Sediment MeHg concentrations in vegetated plots were double those of de-vegetated plots (median = 205%), due in part to enhanced microbial MeHg production in the rhizosphere, and in part to rhizoconcentration via transpiration-driven pore-water transport. Pore-water concentrations of chloride, a conservative tracer, were elevated (median = 22%) in vegetated plots, suggesting that the higher concentrations of other constituents around roots may also be a function of rhizoconcentration rather than microbial activity alone. Elevated pools of amorphous iron (Fe) in vegetated plots indicate that downward redistribution of oxic surface waters through transpiration acts as a stimulant to Fe(III)-reduction through oxidation of Fe(II)pools. These data suggest that vegetation significantly affected rhizosphere biogeochemistry through organic exudation and transpiration-driven concentration of pore-water constituents and oxidation of reduced compounds. While the relative role of vegetation varied among wetland types, macrophyte activity enhanced MeHg production.","language":"English","publisher":"Elsevier","doi":"10.1016/j.scitotenv.2013.05.028","usgsCitation":"Windham-Myers, L., Marvin-DiPasquale, M., Stricker, C.A., Agee, J.L., Kieu, L.H., and Kakouros, E., 2014, Mercury cycling in agricultural and managed wetlands of California: experimental evidence of vegetation-driven changes in sediment biogeochemistry and methylmercury production: Science of the Total Environment, v. 484, p. 300-307, https://doi.org/10.1016/j.scitotenv.2013.05.028.","productDescription":"8 p.","startPage":"300","endPage":"307","numberOfPages":"8","ipdsId":"IP-045774","costCenters":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":275522,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.scitotenv.2013.05.028"},{"id":275523,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","county":"Yolo County","otherGeospatial":"Yolo Bypass Wildlife Area","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -121.663971,38.417283 ], [ -121.663971,38.556489 ], [ -121.586037,38.556489 ], [ -121.586037,38.417283 ], [ -121.663971,38.417283 ] ] ] } } ] }","volume":"484","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51f780d6e4b02e26443a9331","contributors":{"authors":[{"text":"Windham-Myers, Lisamarie 0000-0003-0281-9581 lwindham-myers@usgs.gov","orcid":"https://orcid.org/0000-0003-0281-9581","contributorId":2449,"corporation":false,"usgs":true,"family":"Windham-Myers","given":"Lisamarie","email":"lwindham-myers@usgs.gov","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":479180,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Marvin-DiPasquale, Mark","contributorId":57423,"corporation":false,"usgs":true,"family":"Marvin-DiPasquale","given":"Mark","affiliations":[],"preferred":false,"id":479184,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Stricker, Craig A. 0000-0002-5031-9437 cstricker@usgs.gov","orcid":"https://orcid.org/0000-0002-5031-9437","contributorId":1097,"corporation":false,"usgs":true,"family":"Stricker","given":"Craig","email":"cstricker@usgs.gov","middleInitial":"A.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":479179,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Agee, Jennifer L. 0000-0002-5964-5079 jlagee@usgs.gov","orcid":"https://orcid.org/0000-0002-5964-5079","contributorId":2586,"corporation":false,"usgs":true,"family":"Agee","given":"Jennifer","email":"jlagee@usgs.gov","middleInitial":"L.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":37464,"text":"WMA - Laboratory & Analytical Services Division","active":true,"usgs":true}],"preferred":true,"id":479181,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kieu, Le H. lkieu@usgs.gov","contributorId":25115,"corporation":false,"usgs":true,"family":"Kieu","given":"Le","email":"lkieu@usgs.gov","middleInitial":"H.","affiliations":[],"preferred":false,"id":479183,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Kakouros, Evangelos 0000-0002-4778-4039 kakouros@usgs.gov","orcid":"https://orcid.org/0000-0002-4778-4039","contributorId":2587,"corporation":false,"usgs":true,"family":"Kakouros","given":"Evangelos","email":"kakouros@usgs.gov","affiliations":[{"id":37464,"text":"WMA - Laboratory & Analytical Services Division","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":479182,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70118310,"text":"70118310 - 2014 - Modeling the effects of naturally occurring organic carbon on chlorinated ethene transport to a public supply well","interactions":[],"lastModifiedDate":"2018-09-14T16:11:44","indexId":"70118310","displayToPublicDate":"2013-07-28T13:07:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1861,"text":"Ground Water","active":true,"publicationSubtype":{"id":10}},"title":"Modeling the effects of naturally occurring organic carbon on chlorinated ethene transport to a public supply well","docAbstract":"The vulnerability of public supply wells to chlorinated ethene (CE) contamination in part depends on the availability of naturally occurring organic carbon to consume dissolved oxygen (DO) and initiate reductive dechlorination. This was quantified by building a mass balance model of the Kirkwood-Cohansey aquifer, which is widely used for public water supply in New Jersey. This model was built by telescoping a calibrated regional three-dimensional (3D) MODFLOW model to the approximate capture zone of a single public supply well that has a history of CE contamination. This local model was then used to compute a mass balance between dissolved organic carbon (DOC), particulate organic carbon (POC), and adsorbed organic carbon (AOC) that act as electron donors and DO, CEs, ferric iron, and sulfate that act as electron acceptors (EAs) using the Sequential Electron Acceptor Model in three dimensions (SEAM3D) code. SEAM3D was constrained by varying concentrations of DO and DOC entering the aquifer via recharge, varying the bioavailable fraction of POC in aquifer sediments, and comparing observed and simulated vertical concentration profiles of DO and DOC. This procedure suggests that approximately 15% of the POC present in aquifer materials is readily bioavailable. Model simulations indicate that transport of perchloroethene (PCE) and its daughter products trichloroethene (TCE), <i>cis</i>-dichloroethene (<i>cis</i>-DCE), and vinyl chloride (VC) to the public supply well is highly sensitive to the assumed bioavailable fraction of POC, concentrations of DO entering the aquifer with recharge, and the position of simulated PCE source areas in the flow field. The results are less sensitive to assumed concentrations of DOC in aquifer recharge. The mass balance approach used in this study also indicates that hydrodynamic processes such as advective mixing, dispersion, and sorption account for a significant amount of the observed natural attenuation in this system.","language":"English","publisher":"State Water Control Board","publisherLocation":"Richmond, VA","doi":"10.1111/gwat.12152","usgsCitation":"Chapelle, F.H., Kauffman, L.J., and Widdowson, M.A., 2014, Modeling the effects of naturally occurring organic carbon on chlorinated ethene transport to a public supply well: Ground Water, v. 52, no. S1, p. 76-89, https://doi.org/10.1111/gwat.12152.","productDescription":"14 p.","startPage":"76","endPage":"89","numberOfPages":"14","costCenters":[{"id":400,"text":"Montana Water Science Center","active":false,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true},{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"links":[{"id":473341,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1111/gwat.12152","text":"External Repository"},{"id":291170,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":291169,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1111/gwat.12152"}],"country":"United States","state":"New Jersey","city":"Glassboro","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -75.168261,39.678584 ], [ -75.168261,39.73739 ], [ -75.054785,39.73739 ], [ -75.054785,39.678584 ], [ -75.168261,39.678584 ] ] ] } } ] }","volume":"52","issue":"S1","noUsgsAuthors":false,"publicationDate":"2013-12-23","publicationStatus":"PW","scienceBaseUri":"5422bb29e4b08312ac7cf079","contributors":{"authors":[{"text":"Chapelle, Francis H. chapelle@usgs.gov","contributorId":1350,"corporation":false,"usgs":true,"family":"Chapelle","given":"Francis","email":"chapelle@usgs.gov","middleInitial":"H.","affiliations":[{"id":559,"text":"South Carolina Water Science Center","active":true,"usgs":true},{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"preferred":true,"id":496735,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kauffman, Leon J. 0000-0003-4564-0362 lkauff@usgs.gov","orcid":"https://orcid.org/0000-0003-4564-0362","contributorId":1094,"corporation":false,"usgs":true,"family":"Kauffman","given":"Leon","email":"lkauff@usgs.gov","middleInitial":"J.","affiliations":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"preferred":true,"id":496734,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Widdowson, Mark A.","contributorId":90379,"corporation":false,"usgs":true,"family":"Widdowson","given":"Mark","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":496736,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70193802,"text":"70193802 - 2014 - Response of walleye and yellow perch to water-level fluctuations in glacial lakes","interactions":[],"lastModifiedDate":"2017-11-08T12:08:51","indexId":"70193802","displayToPublicDate":"2013-07-19T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1659,"text":"Fisheries Management and Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Response of walleye and yellow perch to water-level fluctuations in glacial lakes","docAbstract":"<p><span>The influence of water levels on population characteristics of yellow perch,&nbsp;</span><i>Perca flavescens&nbsp;</i><span>(Mitchill), and walleye,<span>&nbsp;</span></span><i>Sander vitreus</i><span><span>&nbsp;</span>(Mitchill), was evaluated across a range of glacial lakes in north-eastern South Dakota, USA. Results showed that natural variation in water levels had an important influence on frequently measured fish population characteristics. Yellow perch abundance was significantly (</span><i>P</i><span>&lt;</span><span>0.10) greater during elevated water levels. Yellow perch size structure, as indexed by the proportional size distribution of quality- and preferred-length fish (PSD and PSD-P), was significantly greater during low-water years, as was walleye PSD. Mean relative weight of walleye increased significantly during high-water periods. The dynamic and unpredictable nature of water-level fluctuations in glacial lakes ultimately adds complexity to management of these systems.</span></p>","language":"English","publisher":"John Wiley & Sons, Inc.","doi":"10.1111/fme.12047","usgsCitation":"Dembkowski, D., Chipps, S.R., and Blackwell, B.G., 2014, Response of walleye and yellow perch to water-level fluctuations in glacial lakes: Fisheries Management and Ecology, v. 21, no. 2, p. 89-95, https://doi.org/10.1111/fme.12047.","productDescription":"7 p.","startPage":"89","endPage":"95","ipdsId":"IP-038632","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":348435,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"South Dakota","otherGeospatial":"Bitter Lake, Cattail-Kettle Lake, Clear Lake, Enemy Swim Lake, Kampeska Lake, Lynn Lake, Poinsett Lake, Roy Lake, Waubay Lake","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -97.95135498046875,\n              44.49454617990028\n            ],\n            [\n              -96.8609619140625,\n              44.49454617990028\n            ],\n            [\n              -96.8609619140625,\n              45.93778073466329\n            ],\n            [\n              -97.95135498046875,\n              45.93778073466329\n            ],\n            [\n              -97.95135498046875,\n              44.49454617990028\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"21","issue":"2","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2013-07-19","publicationStatus":"PW","scienceBaseUri":"5a0425c6e4b0dc0b45b45424","contributors":{"authors":[{"text":"Dembkowski, D.J.","contributorId":31995,"corporation":false,"usgs":true,"family":"Dembkowski","given":"D.J.","affiliations":[],"preferred":false,"id":721103,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Chipps, Steven R. 0000-0001-6511-7582 steve_chipps@usgs.gov","orcid":"https://orcid.org/0000-0001-6511-7582","contributorId":2243,"corporation":false,"usgs":true,"family":"Chipps","given":"Steven","email":"steve_chipps@usgs.gov","middleInitial":"R.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":720554,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Blackwell, B. G.","contributorId":191556,"corporation":false,"usgs":false,"family":"Blackwell","given":"B.","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":721104,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70045551,"text":"70045551 - 2014 - Long-distance transport of Hg, Sb, and As from a mined area, conversion of Hg to methyl-Hg, and uptake of Hg by fish on the Tiber River basin, west-central Italy","interactions":[],"lastModifiedDate":"2014-01-06T09:53:59","indexId":"70045551","displayToPublicDate":"2013-06-24T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1538,"text":"Environmental Geochemistry and Health","active":true,"publicationSubtype":{"id":10}},"title":"Long-distance transport of Hg, Sb, and As from a mined area, conversion of Hg to methyl-Hg, and uptake of Hg by fish on the Tiber River basin, west-central Italy","docAbstract":"Stream sediment, stream water, and fish were collected from a broad region to evaluate downstream transport and dispersion of mercury (Hg) from inactive mines in the Monte Amiata Hg District (MAMD), Tuscany, Italy. Stream sediment samples ranged in Hg concentration from 20 to 1,900 ng/g, and only 5 of the 17 collected samples exceeded the probable effect concentration for Hg of 1,060 ng/g, above which harmful effects are likely to be observed in sediment-dwelling organisms. Concentrations of methyl-Hg in Tiber River sediment varied from 0.12 to 0.52 ng/g, and although there is no established guideline for sediment methyl-Hg, these concentrations exceeded methyl-Hg in a regional baseline site (<0.02 ng/g). Concentrations of Hg in stream water varied from 1.2 to 320 ng/L, all of which were below the 1,000 ng/L Italian drinking water Hg guideline and the 770 ng/L U.S. Environmental Protection Agency (USEPA) guideline recommended to protect against chronic effects to aquatic wildlife. Methyl-Hg concentrations in stream water varied from <0.02 to 0.53 ng/L and were generally elevated compared to the baseline site (<0.02 ng/L). All stream water samples contained concentrations of As (<1.0–6.2 μg/L) and Sb (<0.20–0.37 μg/L) below international drinking water guidelines to protect human health (10 μg/L for As and 20 μg/L for Sb) and for protection against chronic effects to aquatic wildlife (150 μg/L for As and 5.6 μg/L for Sb). Concentrations of Hg in freshwater fish muscle ranged from 0.052–0.56 μg/g (wet weight), mean of 0.17 μg/g, but only 17 % (9 of 54) exceeded the 0.30 μg/g (wet weight) USEPA fish muscle guideline recommended to protect human health. Concentrations of Hg in freshwater fish in this region generally decreased with increasing distance from the MAMD, where fish with the highest Hg concentrations were collected more proximal to the MAMD, whereas all fish collected most distal from Hg mines contained Hg below the 0.30 μg/g fish muscle guideline. Data in this study indicate some conversion of inorganic Hg to methyl-Hg and uptake of Hg in fish on the Paglia River, but less methylation of Hg and Hg uptake by freshwater fish in the larger Tiber River.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Environmental Geochemistry and Health","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Springer","doi":"10.1007/s10653-013-9525-z","usgsCitation":"Gray, J.E., Rimondi, V., Costagliola, P., Vaselli, O., and Lattanzi, P., 2014, Long-distance transport of Hg, Sb, and As from a mined area, conversion of Hg to methyl-Hg, and uptake of Hg by fish on the Tiber River basin, west-central Italy: Environmental Geochemistry and Health, v. 36, no. 1, p. 145-157, https://doi.org/10.1007/s10653-013-9525-z.","productDescription":"13 p.","startPage":"145","endPage":"157","numberOfPages":"13","ipdsId":"IP-045177","costCenters":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"links":[{"id":274096,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":274095,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s10653-013-9525-z"}],"country":"Italy","otherGeospatial":"Tiber River Basin","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ 6.63,35.49 ], [ 6.63,47.09 ], [ 18.52,47.09 ], [ 18.52,35.49 ], [ 6.63,35.49 ] ] ] } } ] }","volume":"36","issue":"1","noUsgsAuthors":false,"publicationDate":"2013-05-12","publicationStatus":"PW","scienceBaseUri":"51c95c5ae4b0a50a6e8f57b4","contributors":{"authors":[{"text":"Gray, John E. jgray@usgs.gov","contributorId":1275,"corporation":false,"usgs":true,"family":"Gray","given":"John","email":"jgray@usgs.gov","middleInitial":"E.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":477830,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rimondi, Valentina","contributorId":27772,"corporation":false,"usgs":true,"family":"Rimondi","given":"Valentina","email":"","affiliations":[],"preferred":false,"id":477831,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Costagliola, Pilario","contributorId":106404,"corporation":false,"usgs":true,"family":"Costagliola","given":"Pilario","email":"","affiliations":[],"preferred":false,"id":477834,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Vaselli, Orlando","contributorId":97804,"corporation":false,"usgs":true,"family":"Vaselli","given":"Orlando","email":"","affiliations":[],"preferred":false,"id":477833,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Lattanzi, Pierfranco","contributorId":87845,"corporation":false,"usgs":true,"family":"Lattanzi","given":"Pierfranco","affiliations":[],"preferred":false,"id":477832,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70101266,"text":"70101266 - 2014 - Status of rainbow smelt in the U.S. waters of Lake Ontario, 2013","interactions":[],"lastModifiedDate":"2020-03-05T12:22:08","indexId":"70101266","displayToPublicDate":"2013-05-28T10:29:00","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":2,"text":"State or Local Government Series"},"seriesTitle":{"id":5114,"text":"NYSDEC Lake Ontario Annual Report ","active":true,"publicationSubtype":{"id":2}},"seriesNumber":"2013","chapter":"12","title":"Status of rainbow smelt in the U.S. waters of Lake Ontario, 2013","docAbstract":"Rainbow Smelt <i>Osmerus mordax</i> are the second most abundant pelagic prey fish in Lake Ontario after Alewife <i>Alosa psuedoharengus</i>. The 2013, USGS/NYSDEC bottom trawl assessment indicated the abundance of Lake Ontario age-1 and older Rainbow Smelt decreased by 69% relative to 2012. Length frequency-based age analysis indicated that age-1 Rainbow Smelt constituted approximately 50% of the population, which is similar to recent trends where the proportion of age-1 has ranged from 95% to 42% of the population. While they constituted approximately half of the catch, the overall abundance index for age 1 was one of the lowest observed in the time series, potentially a result of cannibalism from the previous year class. Combined data from all bottom trawl assessments along the southern shore and eastern basin indicate the proportion of the fish community that is Rainbow Smelt has declined over the past 30 years. In 2013 the proportion of the pelagic fish catch (only pelagic species) that was Rainbow Smelt was the second lowest in the time series at 3.1%. Community diversity indices, based on bottom trawl catches, indicate that Lake Ontario fish community diversity, as assessed by bottom trawls, has sharply declined over the past 36 years and in 2013 the index was the lowest value in the time series. Much of this community diversity decline is driven by changes in the pelagic fish community and dominance of Alewife.","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"2013 Annual report: Bureau of Fisheries, Lake Ontario unit and St. Lawrence River unit, to the Great Lakes Fishery Commission’s Lake Ontario Committee","largerWorkSubtype":{"id":2,"text":"State or Local Government Series"},"conferenceTitle":"Lake Ontario Committee Meeting","conferenceDate":"March 26-27, 2014","conferenceLocation":"Windsor, ON","language":"English","publisher":"New York State Department of Environmental Conservation","publisherLocation":"Albany, NY","usgsCitation":"Weidel, B., and Connerton, M., 2014, Status of rainbow smelt in the U.S. waters of Lake Ontario, 2013: NYSDEC Lake Ontario Annual Report  2013, 5 p.","productDescription":"5 p.","startPage":"12-11","endPage":"12- 15","ipdsId":"IP-055072","costCenters":[{"id":324,"text":"Great Lakes Science 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