{"pageNumber":"539","pageRowStart":"13450","pageSize":"25","recordCount":68912,"records":[{"id":70135659,"text":"70135659 - 2014 - Spring migration of waterfowl in the Northern Hemisphere: a management and conservation perspective","interactions":[],"lastModifiedDate":"2014-12-16T12:55:38","indexId":"70135659","displayToPublicDate":"2014-10-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3764,"text":"Wildfowl","onlineIssn":"2052-6458","printIssn":"0954-6324","active":true,"publicationSubtype":{"id":10}},"title":"Spring migration of waterfowl in the Northern Hemisphere: a management and conservation perspective","docAbstract":"

Spring migration is a key part of the annual cycle for waterfowl populations in the northern hemisphere, due to its temporal proximity to the breeding season and because resources may be limited at one or more staging sites. Research based on field observations during spring lags behind other periods of the year, despite the potential for fitness consequences through diminished survival or cross-seasonal effects of conditions experienced during migration. Consequently, conservation strategies for waterfowl on spring migration are often only refined versions of practices used during autumn and winter. Here we discuss the current state of knowledge of habitat requirements for waterfowl at their spring migratory sites and the intrinsic and extrinsic factors that lead to variability in those requirements. The provision of plant foods has become the main conservation strategy during spring because of the birds’ energy requirements at this time, not only to fuel migration but to facilitate early clutch formation on arrival at the breeding grounds. Although energy sources are important to migrants, there is little evidence on the extent to which the availability of carbohydrate-based food is limiting for many migratory waterfowl populations.  Such limitation is relatively unlikely among populations that exploit agricultural grain during migration (e.g. arctic-nesting geese), suggesting that conservation strategies for these populations may be misplaced. In general, however, we found few cases in which an ecological understanding of spring-migrating waterfowl was sufficient to indicate true resource limitation during migration, and still fewer cases where conservation efforts ameliorated these limitations. We propose a framework that aims to address knowledge gaps and apply empirical research results to conservation strategies based on documented limitations and associated fitness impacts on migrating waterfowl. Such a strategy would improve allocation of scarce conservation resources during spring migration and greatly improve ecological understanding of migratory waterfowl and their habitats in the northern hemisphere.

","language":"English","publisher":"Wildfowl Trust","usgsCitation":"Stafford, J.D., Janke, A.K., Anteau, M.J., Pearse, A.T., Fox, A.D., Elmberg, J., Straub, J.N., Eichholz, M., and Arzel, C., 2014, Spring migration of waterfowl in the Northern Hemisphere: a management and conservation perspective: Wildfowl, v. 2014, no. 4, p. 70-85.","productDescription":"16 p.","startPage":"70","endPage":"85","numberOfPages":"16","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-057341","costCenters":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":296716,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":296687,"type":{"id":15,"text":"Index Page"},"url":"https://wildfowl.wwt.org.uk/index.php/wildfowl/article/view/2603"}],"volume":"2014","issue":"4","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"549165d6e4b0d0759afaad9d","contributors":{"authors":[{"text":"Stafford, Joshua D. jstafford@usgs.gov","contributorId":4267,"corporation":false,"usgs":true,"family":"Stafford","given":"Joshua","email":"jstafford@usgs.gov","middleInitial":"D.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":536699,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Janke, Adam K. 0000-0003-2781-7857","orcid":"https://orcid.org/0000-0003-2781-7857","contributorId":130959,"corporation":false,"usgs":false,"family":"Janke","given":"Adam","email":"","middleInitial":"K.","affiliations":[{"id":7176,"text":"Dept of Natl Res Mgmt, SDSU, Brookings, SD","active":true,"usgs":false}],"preferred":false,"id":536700,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"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":536701,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Pearse, Aaron T. 0000-0002-6137-1556 apearse@usgs.gov","orcid":"https://orcid.org/0000-0002-6137-1556","contributorId":1772,"corporation":false,"usgs":true,"family":"Pearse","given":"Aaron","email":"apearse@usgs.gov","middleInitial":"T.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":536698,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Fox, Anthony D.","contributorId":130960,"corporation":false,"usgs":false,"family":"Fox","given":"Anthony","email":"","middleInitial":"D.","affiliations":[{"id":7177,"text":"Dept of Bioscience, Aahus Univ, Denmark","active":true,"usgs":false}],"preferred":false,"id":536702,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Elmberg, Johan","contributorId":130961,"corporation":false,"usgs":false,"family":"Elmberg","given":"Johan","email":"","affiliations":[{"id":7178,"text":"Aquatic Biol and Chem, Kristianstad univ, Sweeden","active":true,"usgs":false}],"preferred":false,"id":536703,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Straub, Jacob N.","contributorId":130962,"corporation":false,"usgs":false,"family":"Straub","given":"Jacob","email":"","middleInitial":"N.","affiliations":[{"id":7179,"text":"Ctr for Earth & Envir Sc, St Univ of NY-Plattsburgh, NY","active":true,"usgs":false}],"preferred":false,"id":536704,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Eichholz, Michael W.","contributorId":130963,"corporation":false,"usgs":false,"family":"Eichholz","given":"Michael W.","affiliations":[{"id":7180,"text":"Coop Wildlife Res Lab, Ctr for Ecology, S IL Univ Carbondale, IL","active":true,"usgs":false}],"preferred":false,"id":536705,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Arzel, Celine","contributorId":130964,"corporation":false,"usgs":false,"family":"Arzel","given":"Celine","email":"","affiliations":[{"id":7181,"text":"Section of Ecology, Ept of Biol, Univ of Turku, Finland","active":true,"usgs":false}],"preferred":false,"id":536706,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70144529,"text":"70144529 - 2014 - Breeding site selection by coho salmon (Oncorhynchus kisutch) in relation to large wood additions and factors that influence reproductive success","interactions":[],"lastModifiedDate":"2018-10-11T16:40:04","indexId":"70144529","displayToPublicDate":"2014-10-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1169,"text":"Canadian Journal of Fisheries and Aquatic Sciences","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Breeding site selection by coho salmon (Oncorhynchus kisutch) in relation to large wood additions and factors that influence reproductive success","title":"Breeding site selection by coho salmon (Oncorhynchus kisutch) in relation to large wood additions and factors that influence reproductive success","docAbstract":"

The fitness of female Pacific salmon (Oncorhynchus spp.) with respect to breeding behavior can be partitioned into at least four fitness components: survival to reproduction, competition for breeding sites, success of egg incubation, and suitability of the local environment near breeding sites for early rearing of juveniles. We evaluated the relative influences of habitat features linked to these fitness components with respect to selection of breeding sites by coho salmon (Oncorhynchus kisutch). We also evaluated associations between breeding site selection and additions of large wood, as the latter were introduced into the study system as a means of restoring habitat conditions to benefit coho salmon. We used a model selection approach to organize specific habitat features into groupings reflecting fitness components and influences of large wood. Results of this work suggest that female coho salmon likely select breeding sites based on a wide range of habitat features linked to all four hypothesized fitness components. More specifically, model parameter estimates indicated that breeding site selection was most strongly influenced by proximity to pool-tail crests and deeper water (mean and maximum depths). Linkages between large wood and breeding site selection were less clear. Overall, our findings suggest that breeding site selection by coho salmon is influenced by a suite of fitness components in addition to the egg incubation environment, which has been the emphasis of much work in the past.

","language":"English","publisher":"NRC Research Press","doi":"10.1139/cjfas-2014-0020","usgsCitation":"Clark, S.M., Dunham, J., McEnroe, J.R., and Lightcap, S.W., 2014, Breeding site selection by coho salmon (Oncorhynchus kisutch) in relation to large wood additions and factors that influence reproductive success: Canadian Journal of Fisheries and Aquatic Sciences, v. 71, no. 10, p. 1498-1507, https://doi.org/10.1139/cjfas-2014-0020.","productDescription":"10 p.","startPage":"1498","endPage":"1507","numberOfPages":"10","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-057024","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true},{"id":34983,"text":"Contaminant Biology Program","active":true,"usgs":true}],"links":[{"id":299201,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Oregon","county":"Douglas County","otherGeospatial":"Little Wolf Creek","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -122.904052734375,\n 43.09697190802465\n ],\n [\n -122.904052734375,\n 44.000717834282774\n ],\n [\n -121.431884765625,\n 44.000717834282774\n ],\n [\n -121.431884765625,\n 43.09697190802465\n ],\n [\n -122.904052734375,\n 43.09697190802465\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"71","issue":"10","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"551bc529e4b0323842783a3c","contributors":{"authors":[{"text":"Clark, Steven M.","contributorId":7989,"corporation":false,"usgs":false,"family":"Clark","given":"Steven","email":"","middleInitial":"M.","affiliations":[{"id":7217,"text":"Bureau of Land Management","active":true,"usgs":false}],"preferred":false,"id":543678,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dunham, Jason B. 0000-0002-6268-0633 jdunham@usgs.gov","orcid":"https://orcid.org/0000-0002-6268-0633","contributorId":1808,"corporation":false,"usgs":true,"family":"Dunham","given":"Jason B.","email":"jdunham@usgs.gov","affiliations":[{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true}],"preferred":false,"id":543679,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"McEnroe, Jeffery R.","contributorId":139990,"corporation":false,"usgs":false,"family":"McEnroe","given":"Jeffery","email":"","middleInitial":"R.","affiliations":[{"id":7217,"text":"Bureau of Land Management","active":true,"usgs":false}],"preferred":false,"id":543680,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lightcap, Scott W.","contributorId":139991,"corporation":false,"usgs":false,"family":"Lightcap","given":"Scott","email":"","middleInitial":"W.","affiliations":[{"id":7217,"text":"Bureau of Land Management","active":true,"usgs":false}],"preferred":false,"id":543681,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70143395,"text":"70143395 - 2014 - Mississippi River nitrate loads from high frequency sensor measurements and regression-based load estimation","interactions":[],"lastModifiedDate":"2015-03-19T09:35:13","indexId":"70143395","displayToPublicDate":"2014-10-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1565,"text":"Environmental Science & Technology","onlineIssn":"1520-5851","printIssn":"0013-936X","active":true,"publicationSubtype":{"id":10}},"title":"Mississippi River nitrate loads from high frequency sensor measurements and regression-based load estimation","docAbstract":"

Accurately quantifying nitrate (NO3–) loading from the Mississippi River is important for predicting summer hypoxia in the Gulf of Mexico and targeting nutrient reduction within the basin. Loads have historically been modeled with regression-based techniques, but recent advances with high frequency NO3– sensors allowed us to evaluate model performance relative to measured loads in the lower Mississippi River. Patterns in NO3– concentrations and loads were observed at daily to annual time steps, with considerable variability in concentration-discharge relationships over the two year study. Differences were particularly accentuated during the 2012 drought and 2013 flood, which resulted in anomalously high NO3– concentrations consistent with a large flush of stored NO3– from soil. The comparison between measured loads and modeled loads (LOADEST, Composite Method, WRTDS) showed underestimates of only 3.5% across the entire study period, but much larger differences at shorter time steps. Absolute differences in loads were typically greatest in the spring and early summer critical to Gulf hypoxia formation, with the largest differences (underestimates) for all models during the flood period of 2013. In additional to improving the accuracy and precision of monthly loads, high frequency NO3– measurements offer additional benefits not available with regression-based or other load estimation techniques.

","language":"English","publisher":"American Chemical Society","doi":"10.1021/es504029c","usgsCitation":"Pellerin, B.A., Bergamaschi, B., Gilliom, R.J., Crawford, C.G., Saraceno, J.F., Frederick, C.P., Downing, B.D., and Murphy, J., 2014, Mississippi River nitrate loads from high frequency sensor measurements and regression-based load estimation: Environmental Science & Technology, v. 48, no. 21, p. 12612-12619, https://doi.org/10.1021/es504029c.","productDescription":"8 p.","startPage":"12612","endPage":"12619","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-055261","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":472726,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1021/es504029c","text":"Publisher Index Page"},{"id":298741,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Louisiana","county":"Baton Rouge","otherGeospatial":"Mississippi River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -91.23458862304688,\n 30.40485985382934\n ],\n [\n -91.23458862304688,\n 30.526779182105784\n ],\n [\n -91.15631103515625,\n 30.526779182105784\n ],\n [\n -91.15631103515625,\n 30.40485985382934\n ],\n [\n -91.23458862304688,\n 30.40485985382934\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"48","issue":"21","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationDate":"2014-10-24","publicationStatus":"PW","scienceBaseUri":"550bf332e4b02e76d759cdf1","chorus":{"doi":"10.1021/es504029c","url":"http://dx.doi.org/10.1021/es504029c","publisher":"American Chemical Society (ACS)","authors":"Pellerin Brian A., Bergamaschi Brian A., Gilliom Robert J., Crawford Charles G., Saraceno JohnFranco, Frederick C. Paul, Downing Bryan D., Murphy Jennifer C.","journalName":"Environmental Science & Technology","publicationDate":"11/4/2014","auditedOn":"3/4/2016","publiclyAccessibleDate":"11/4/2014"},"contributors":{"authors":[{"text":"Pellerin, Brian A. bpeller@usgs.gov","contributorId":1451,"corporation":false,"usgs":true,"family":"Pellerin","given":"Brian","email":"bpeller@usgs.gov","middleInitial":"A.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":false,"id":542688,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bergamaschi, Brian A. 0000-0002-9610-5581 bbergama@usgs.gov","orcid":"https://orcid.org/0000-0002-9610-5581","contributorId":1448,"corporation":false,"usgs":true,"family":"Bergamaschi","given":"Brian A.","email":"bbergama@usgs.gov","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":false,"id":542689,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gilliom, Robert J. rgilliom@usgs.gov","contributorId":488,"corporation":false,"usgs":true,"family":"Gilliom","given":"Robert","email":"rgilliom@usgs.gov","middleInitial":"J.","affiliations":[{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true}],"preferred":true,"id":542690,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Crawford, Charles G. 0000-0003-1653-7841 cgcrawfo@usgs.gov","orcid":"https://orcid.org/0000-0003-1653-7841","contributorId":1064,"corporation":false,"usgs":true,"family":"Crawford","given":"Charles","email":"cgcrawfo@usgs.gov","middleInitial":"G.","affiliations":[{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true},{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":542692,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Saraceno, John Franco 0000-0003-0064-1820 saraceno@usgs.gov","orcid":"https://orcid.org/0000-0003-0064-1820","contributorId":2328,"corporation":false,"usgs":true,"family":"Saraceno","given":"John","email":"saraceno@usgs.gov","middleInitial":"Franco","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":542691,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Frederick, C. Paul 0000-0003-1762-519X pfreder@usgs.gov","orcid":"https://orcid.org/0000-0003-1762-519X","contributorId":4755,"corporation":false,"usgs":true,"family":"Frederick","given":"C.","email":"pfreder@usgs.gov","middleInitial":"Paul","affiliations":[{"id":369,"text":"Louisiana Water Science Center","active":true,"usgs":true}],"preferred":false,"id":542694,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Downing, Bryan D. 0000-0002-2007-5304 bdowning@usgs.gov","orcid":"https://orcid.org/0000-0002-2007-5304","contributorId":1449,"corporation":false,"usgs":true,"family":"Downing","given":"Bryan","email":"bdowning@usgs.gov","middleInitial":"D.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":542693,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Murphy, Jennifer C. 0000-0002-0881-0919 jmurphy@usgs.gov","orcid":"https://orcid.org/0000-0002-0881-0919","contributorId":139729,"corporation":false,"usgs":true,"family":"Murphy","given":"Jennifer C.","email":"jmurphy@usgs.gov","affiliations":[{"id":581,"text":"Tennessee Water Science Center","active":true,"usgs":true}],"preferred":false,"id":542695,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70147913,"text":"70147913 - 2014 - Thermal ecology of subadult and adult muskellunge in a thermally enriched reservoir","interactions":[],"lastModifiedDate":"2015-05-08T10:18:20","indexId":"70147913","displayToPublicDate":"2014-10-01T00:00:00","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":"Thermal ecology of subadult and adult muskellunge in a thermally enriched reservoir","docAbstract":"

The movement of adult muskellunge, Esox masquinongy Mitchill, has been investigated in a variety of systems, but temperature selection by muskellunge has not been examined where well-oxygenated waters were available over a range of temperatures for much of the year. Thirty subadult and adult muskellunge tagged internally with temperature-sensing radio tags were tracked from March 2010 to March 2011 in a Tennessee reservoir. Mean tag temperatures were 18.9 °C in spring (March to May), 22.1 °C in summer (June to August), 16.5 °C in autumn and 9.8 °C in winter (December to February). When the greatest range in water temperatures was available (7.1–33.3 °C; May to early August 2010), their realised thermal niche (mean ± 1 SD) was 22.3 °C ± 1.8; the realised thermal niche was affected by fish size (smaller fish selected slightly warmer temperatures) but not sex. An electric generating steam plant discharging warm water resumed operation in January 2011, and most (86%) tagged fish occupied the plume where temperatures were ≈10 °C warmer than ambient water temperatures. No mortalities were observed 15 days later when plant operations ceased. Their affinity for the heated plume prompted concerns that muskellunge will be too easily exploited when the plant operates during winter.

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J.","contributorId":140640,"corporation":false,"usgs":false,"family":"Cole","given":"A.","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":546381,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bettoli, Phillip William pbettoli@usgs.gov","contributorId":1919,"corporation":false,"usgs":true,"family":"Bettoli","given":"Phillip","email":"pbettoli@usgs.gov","middleInitial":"William","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":546382,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70142181,"text":"70142181 - 2014 - Depth gradients in food-web processes linking habitats in large lakes: Lake Superior as an exemplar ecosystem","interactions":[],"lastModifiedDate":"2015-03-03T11:00:00","indexId":"70142181","displayToPublicDate":"2014-10-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1696,"text":"Freshwater Biology","active":true,"publicationSubtype":{"id":10}},"title":"Depth gradients in food-web processes linking habitats in large lakes: Lake Superior as an exemplar ecosystem","docAbstract":"
    \n
  1. In large lakes around the world, depth-based changes in the abundance and distribution of invertebrate and fish species suggest that there may be concomitant changes in patterns of resource allocation. Using Lake Superior of the Laurentian Great Lakes as an example, we explored this idea through stable isotope analyses of 13 major fish taxa.
    2. \n
  2. Patterns in carbon and nitrogen isotope ratios revealed use of both littoral and profundal benthos among populations of most taxa analysed regardless of the depth of their habitat, providing evidence of nearshore–offshore trophic linkages in the largest freshwater lake by area in the world.
    3. \n
  3. Isotope-mixing model results indicated that the overall importance of benthic food-web pathways to fish was highest in nearshore species, whereas the importance of planktonic pathways increased in offshore species. These characteristics, shared with the Great Lakes of Africa, Russia and Japan, appear to be governed by two key processes: high benthic production in nearshore waters and the prevalence of diel vertical migration (DVM) among offshore invertebrate and fish taxa. DVM facilitates use of pelagic food resources by deep-water biota and represents an important process of trophic linkage among habitats in large lakes.
    4. \n
  4. Support of whole-lake food webs through trophic linkages among pelagic, profundal and littoral habitats appears to be integral to the functioning of large lakes. These linkages can be disrupted though ecosystem disturbance such as eutrophication or the effects of invasive species and should be considered in native species restoration efforts.
    5. \n
","language":"English","publisher":"Wiley","doi":"10.1111/fwb.12415","usgsCitation":"Sierszen, M.E., Hrabik, T.R., Stockwell, J.D., Cotter, A.M., Hoffman, J.C., and Yule, D.L., 2014, Depth gradients in food-web processes linking habitats in large lakes: Lake Superior as an exemplar ecosystem: Freshwater Biology, v. 59, no. 10, p. 2122-2136, https://doi.org/10.1111/fwb.12415.","productDescription":"15 p.","startPage":"2122","endPage":"2136","numberOfPages":"15","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-050895","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":298243,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, United States","otherGeospatial":"Lake Superior","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -88.363037109375,\n 49.01625665778159\n ],\n [\n -89.439697265625,\n 48.42920055556841\n ],\n [\n -89.703369140625,\n 48.04136507445029\n ],\n [\n -91.461181640625,\n 47.44294999517949\n ],\n [\n -92.120361328125,\n 46.852678248531106\n ],\n [\n -92.0654296875,\n 46.5739667965278\n ],\n [\n -91.01074218749999,\n 46.7549166192819\n ],\n [\n -91.021728515625,\n 46.52863469527167\n ],\n [\n -90.296630859375,\n 46.543749602738565\n ],\n [\n -89.09912109375,\n 46.90524554642923\n ],\n [\n -88.41796875,\n 47.27177506640826\n ],\n [\n -88.65966796875,\n 46.7549166192819\n ],\n [\n -88.428955078125,\n 46.64189395892874\n ],\n [\n -88.06640625,\n 46.81509864599243\n ],\n [\n -87.099609375,\n 46.354510837365254\n ],\n [\n -85.78125,\n 46.55886030311719\n ],\n [\n -85.133056640625,\n 46.63435070293566\n ],\n [\n -85.0341796875,\n 46.37725420510028\n ],\n [\n -84.254150390625,\n 46.37725420510028\n ],\n [\n -84.210205078125,\n 46.63435070293566\n ],\n [\n -84.44091796875,\n 47.04766864046083\n ],\n [\n -84.61669921875,\n 47.53945544742392\n ],\n [\n -84.91333007812499,\n 47.67278567576541\n ],\n [\n -84.67163085937499,\n 48.04136507445029\n ],\n [\n -85.02319335937499,\n 48.158757304569235\n ],\n [\n -85.62744140625,\n 48.019324184801185\n ],\n [\n -86.341552734375,\n 48.80686346108517\n ],\n [\n -88.143310546875,\n 49.0738659012854\n ],\n [\n -88.363037109375,\n 49.01625665778159\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"59","issue":"10","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationDate":"2014-07-14","publicationStatus":"PW","scienceBaseUri":"54f6e93ce4b02419550d309c","contributors":{"authors":[{"text":"Sierszen, Michael E.","contributorId":63320,"corporation":false,"usgs":false,"family":"Sierszen","given":"Michael","email":"","middleInitial":"E.","affiliations":[{"id":6914,"text":"U.S. Environmental Protection Agency","active":true,"usgs":false}],"preferred":false,"id":541695,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hrabik, Thomas R.","contributorId":35614,"corporation":false,"usgs":false,"family":"Hrabik","given":"Thomas","email":"","middleInitial":"R.","affiliations":[{"id":6915,"text":"University of Minnesota - Duluth","active":true,"usgs":false}],"preferred":false,"id":541696,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Stockwell, Jason D. 0000-0003-3393-6799","orcid":"https://orcid.org/0000-0003-3393-6799","contributorId":61004,"corporation":false,"usgs":false,"family":"Stockwell","given":"Jason","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":541697,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Cotter, Anne M","contributorId":139531,"corporation":false,"usgs":false,"family":"Cotter","given":"Anne","email":"","middleInitial":"M","affiliations":[{"id":6914,"text":"U.S. Environmental Protection Agency","active":true,"usgs":false}],"preferred":false,"id":541698,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hoffman, Joel C.","contributorId":84244,"corporation":false,"usgs":false,"family":"Hoffman","given":"Joel","email":"","middleInitial":"C.","affiliations":[{"id":6914,"text":"U.S. Environmental Protection Agency","active":true,"usgs":false}],"preferred":false,"id":541699,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Yule, Daniel L. dyule@usgs.gov","contributorId":139525,"corporation":false,"usgs":true,"family":"Yule","given":"Daniel","email":"dyule@usgs.gov","middleInitial":"L.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":false,"id":541694,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70155825,"text":"70155825 - 2014 - Assessing the risk persistent drought using climate model simulations and paleoclimate data","interactions":[],"lastModifiedDate":"2018-04-03T13:58:37","indexId":"70155825","displayToPublicDate":"2014-10-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2216,"text":"Journal of Climate","active":true,"publicationSubtype":{"id":10}},"title":"Assessing the risk persistent drought using climate model simulations and paleoclimate data","docAbstract":"

Projected changes in global rainfall patterns will likely alter water supplies and ecosystems in semiarid regions during the coming century. Instrumental and paleoclimate data indicate that natural hydroclimate fluctuations tend to be more energetic at low (multidecadal to multicentury) than at high (interannual) frequencies. State-of-the-art global climate models do not capture this characteristic of hydroclimate variability, suggesting that the models underestimate the risk of future persistent droughts. Methods are developed here for assessing the risk of such events in the coming century using climate model projections as well as observational (paleoclimate) information. Where instrumental and paleoclimate data are reliable, these methods may provide a more complete view of prolonged drought risk. In the U.S. Southwest, for instance, state-of-the-art climate model projections suggest the risk of a decade-scale megadrought in the coming century is less than 50%; the analysis herein suggests that the risk is at least 80%, and may be higher than 90% in certain areas. The likelihood of longer-lived events (>35 yr) is between 20% and 50%, and the risk of an unprecedented 50-yr megadrought is nonnegligible under the most severe warming scenario (5%–10%). These findings are important to consider as adaptation and mitigation strategies are developed to cope with regional impacts of climate change, where population growth is high and multidecadal megadrought—worse than anything seen during the last 2000 years—would pose unprecedented challenges to water resources in the region.

","language":"English","publisher":"American Meteorological Society","doi":"10.1175/JCLI-D-12-00282.1","usgsCitation":"Ault, T.R., Cole, J.E., Overpeck, J.T., Pederson, G.T., and Meko, D.M., 2014, Assessing the risk persistent drought using climate model simulations and paleoclimate data: Journal of Climate, v. 27, no. 20, p. 7529-7549, https://doi.org/10.1175/JCLI-D-12-00282.1.","productDescription":"21 p.","startPage":"7529","endPage":"7549","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-024658","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":472725,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1175/jcli-d-12-00282.1","text":"Publisher Index Page"},{"id":306605,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -104.0185546875,\n 48.980216985374994\n ],\n [\n -103.6669921875,\n 32.0639555946604\n ],\n [\n -108.06152343749999,\n 31.840232667909365\n ],\n [\n -108.2373046875,\n 31.240985378021307\n ],\n [\n -111.0498046875,\n 31.39115752282472\n ],\n [\n -115.04882812499999,\n 32.62087018318113\n ],\n [\n -117.333984375,\n 32.62087018318113\n ],\n [\n -118.125,\n 33.61461929233378\n ],\n [\n -119.66308593749999,\n 34.19817309627726\n ],\n [\n -120.80566406250001,\n 34.59704151614417\n ],\n [\n -120.76171875,\n 35.137879119634185\n ],\n [\n -122.16796875,\n 36.77409249464195\n ],\n [\n -123.1787109375,\n 37.96152331396616\n ],\n [\n -123.662109375,\n 39.198205348894795\n ],\n [\n -124.5849609375,\n 40.51379915504413\n ],\n [\n -124.23339843749999,\n 41.705728515237524\n ],\n [\n -124.8046875,\n 43.03677585761058\n ],\n [\n -124.1015625,\n 44.62175409623324\n ],\n [\n -124.18945312500001,\n 45.79816953017265\n ],\n [\n -124.27734374999999,\n 46.92025531537451\n ],\n [\n -124.67285156250001,\n 47.96050238891509\n ],\n [\n -124.98046874999999,\n 48.45835188280866\n ],\n [\n -123.3544921875,\n 48.25394114463431\n ],\n [\n -122.607421875,\n 47.96050238891509\n ],\n [\n -122.29980468749999,\n 48.48748647988415\n ],\n [\n -122.87109375,\n 48.951366470947725\n ],\n [\n -122.34374999999999,\n 49.009050809382046\n ],\n [\n -104.0185546875,\n 48.980216985374994\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"27","issue":"20","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2014-10-07","publicationStatus":"PW","scienceBaseUri":"55cc6e28e4b08400b1fe0fcb","contributors":{"authors":[{"text":"Ault, Toby R.","contributorId":146164,"corporation":false,"usgs":false,"family":"Ault","given":"Toby","email":"","middleInitial":"R.","affiliations":[{"id":6624,"text":"University of Arizona, Laboratory of Tree-Ring Research","active":true,"usgs":false}],"preferred":false,"id":566503,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cole, Julia E.","contributorId":69871,"corporation":false,"usgs":true,"family":"Cole","given":"Julia","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":566502,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Overpeck, Jonathan T.","contributorId":146162,"corporation":false,"usgs":false,"family":"Overpeck","given":"Jonathan","email":"","middleInitial":"T.","affiliations":[{"id":6624,"text":"University of Arizona, Laboratory of Tree-Ring Research","active":true,"usgs":false}],"preferred":false,"id":566501,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Pederson, Gregory T. 0000-0002-6014-1425 gpederson@usgs.gov","orcid":"https://orcid.org/0000-0002-6014-1425","contributorId":3106,"corporation":false,"usgs":true,"family":"Pederson","given":"Gregory","email":"gpederson@usgs.gov","middleInitial":"T.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":566499,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Meko, David M.","contributorId":145887,"corporation":false,"usgs":false,"family":"Meko","given":"David","email":"","middleInitial":"M.","affiliations":[{"id":6624,"text":"University of Arizona, Laboratory of Tree-Ring Research","active":true,"usgs":false}],"preferred":false,"id":566500,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70168386,"text":"70168386 - 2014 - The role of reserves and anthropogenic elements for functional connectivity and resilience of ephemeral habitats","interactions":[],"lastModifiedDate":"2016-02-11T12:53:14","indexId":"70168386","displayToPublicDate":"2014-10-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1450,"text":"Ecological Applications","active":true,"publicationSubtype":{"id":10}},"title":"The role of reserves and anthropogenic elements for functional connectivity and resilience of ephemeral habitats","docAbstract":"

Ecological reserves provide important wildlife habitat in many landscapes, and the functional connectivity of reserves and other suitable habitat patches is crucial for the persistence and resilience of spatially structured populations. To maintain or increase connectivity at spatial scales larger than individual patches, conservation actions may focus on creating and maintaining reserves and/or influencing management on non-reserves. Using a graph-theoretic approach, we assessed the functional connectivity and spatial distribution of wetlands in the Rainwater Basin of Nebraska, USA, an intensively cultivated agricultural matrix, at four assumed, but ecologically realistic, anuran dispersal distances. We compared connectivity in the current landscape to the historical landscape and putative future landscapes, and evaluated the importance of individual and aggregated reserve and non-reserve wetlands for maintaining connectivity. Connectivity was greatest in the historical landscape, where wetlands were also the most densely distributed. The construction of irrigation reuse pits for water storage has maintained connectivity in the current landscape by replacing destroyed wetlands, but these pits likely provide suboptimal habitat. Also, because there are fewer total wetlands (i.e., wetlands and irrigation reuse pits) in the current landscape than the historical landscape, and because the distribution of current wetlands is less clustered than that of historical wetlands, larger and longer dispersing, sometimes nonnative species may be favored over smaller, shorter dispersing species of conservation concern. Because of their relatively low number, wetland reserves do not affect connectivity as greatly as non-reserve wetlands or irrigation reuse pits; however, they likely provide the highest quality anuran habitat. To improve future levels of resilience in this wetland habitat network, management could focus on continuing to improve the conservation status of non-reserve wetlands, restoring wetlands at spatial scales that promote movements of shorter dispersing species, and further scrutinizing irrigation reuse pit removal by considering effects on functional connectivity for anurans, an emblematic and threatened group of organisms. However, broader conservation plans will need to give consideration to other wetland-dependent species, incorporate invasive species management, and address additional challenges arising from global change in social-ecological systems like the Rainwater Basin.

","language":"English","publisher":"Ecological Society of America","doi":"10.1890/13-1755.1","usgsCitation":"Uden, D.R., Hellman, M., Angeler, D., and Allen, C.R., 2014, The role of reserves and anthropogenic elements for functional connectivity and resilience of ephemeral habitats: Ecological Applications, v. 24, no. 7, p. 1569-1582, https://doi.org/10.1890/13-1755.1.","productDescription":"14 p.","startPage":"1569","endPage":"1582","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-052968","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":317952,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Nebraska","otherGeospatial":"Rainwater Basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -99.77783203125,\n 40.22921818870117\n ],\n [\n -99.77783203125,\n 41.541477666790286\n ],\n [\n -96.591796875,\n 41.541477666790286\n ],\n [\n -96.591796875,\n 40.22921818870117\n ],\n [\n -99.77783203125,\n 40.22921818870117\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"24","issue":"7","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"56bdbed0e4b06458514aeeed","contributors":{"authors":[{"text":"Uden, Daniel R.","contributorId":74258,"corporation":false,"usgs":true,"family":"Uden","given":"Daniel","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":619927,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hellman, Michelle L.","contributorId":33185,"corporation":false,"usgs":true,"family":"Hellman","given":"Michelle L.","affiliations":[],"preferred":false,"id":619928,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Angeler, David G.","contributorId":25027,"corporation":false,"usgs":true,"family":"Angeler","given":"David G.","affiliations":[],"preferred":false,"id":619929,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Allen, Craig R. 0000-0001-8655-8272 allencr@usgs.gov","orcid":"https://orcid.org/0000-0001-8655-8272","contributorId":1979,"corporation":false,"usgs":true,"family":"Allen","given":"Craig","email":"allencr@usgs.gov","middleInitial":"R.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":619852,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70154893,"text":"70154893 - 2014 - Spatial structuring within a reservoir fish population: implications for management","interactions":[],"lastModifiedDate":"2015-07-15T11:52:50","indexId":"70154893","displayToPublicDate":"2014-10-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2681,"text":"Marine and Freshwater Research","active":true,"publicationSubtype":{"id":10}},"title":"Spatial structuring within a reservoir fish population: implications for management","docAbstract":"

Spatial structuring in reservoir fish populations can exist because of environmental gradients, species-specific behaviour, or even localised fishing effort. The present study investigated whether white crappie exhibited evidence of improved population structure where the northern more productive half of a lake is closed to fishing to provide waterfowl hunting opportunities. Population response to angling was modelled for each substock of white crappie (north (protected) and south (unprotected) areas), the entire lake (single-stock model) and by combining simulations of the two independent substock models (additive model). White crappie in the protected area were more abundant, consisting of larger, older individuals, and exhibited a lower total annual mortality rate than in the unprotected area. Population modelling found that fishing mortality rates between 0.1 and 0.3 resulted in sustainable populations (spawning potential ratios (SPR) >0.30). The population in the unprotected area appeared to be more resilient (SPR > 0.30) at the higher fishing intensities (0.35–0.55). Considered additively, the whole-lake fishery appeared more resilient than when modelled as a single-panmictic stock. These results provided evidence of spatial structuring in reservoir fish populations, and we recommend model assessments used to guide management decisions should consider those spatial differences in other populations where they exist.

","language":"English","publisher":"CSIRO Publishing","doi":"10.1071/MF14085","usgsCitation":"Stewart, D., Long, J.M., and Shoup, D.E., 2014, Spatial structuring within a reservoir fish population: implications for management: Marine and Freshwater Research, v. 66, no. 3, p. 202-212, https://doi.org/10.1071/MF14085.","productDescription":"11 p.","startPage":"202","endPage":"212","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-054699","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":305759,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"66","issue":"3","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"55a78439e4b0183d66e45e98","contributors":{"authors":[{"text":"Stewart, David R.","contributorId":141323,"corporation":false,"usgs":false,"family":"Stewart","given":"David R.","affiliations":[],"preferred":false,"id":564861,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Long, James M. 0000-0002-8658-9949 jmlong@usgs.gov","orcid":"https://orcid.org/0000-0002-8658-9949","contributorId":3453,"corporation":false,"usgs":true,"family":"Long","given":"James","email":"jmlong@usgs.gov","middleInitial":"M.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":564320,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Shoup, Daniel E.","contributorId":141325,"corporation":false,"usgs":false,"family":"Shoup","given":"Daniel","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":564862,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70193632,"text":"70193632 - 2014 - Straddling the tholeiitic/calc-alkaline transition: The effects of modest amounts of water on magmatic differentiation at Newberry Volcano, Oregon","interactions":[],"lastModifiedDate":"2019-03-11T13:47:50","indexId":"70193632","displayToPublicDate":"2014-10-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1336,"text":"Contributions to Mineralogy and Petrology","active":true,"publicationSubtype":{"id":10}},"title":"Straddling the tholeiitic/calc-alkaline transition: The effects of modest amounts of water on magmatic differentiation at Newberry Volcano, Oregon","docAbstract":"

Melting experiments have been performed at 1 bar (anhydrous) and 1- and 2-kbar H2O-saturated conditions to study the effect of water on the differentiation of a basaltic andesite. The starting material was a mafic pumice from the compositionally zoned tuff deposited during the ~75 ka caldera-forming eruption of Newberry Volcano, a rear-arc volcanic center in the central Oregon Cascades. Pumices in the tuff of Newberry caldera (TNC) span a continuous silica range from 53 to 74 wt% and feature an unusually high-Na2O content of 6.5 wt% at 67 wt% SiO2. This wide range of magmatic compositions erupted in a single event makes the TNC an excellent natural laboratory in which to study the conditions of magmatic differentiation. Our experimental results and mineral–melt hygrometers/thermometers yield similar estimates of pre-eruptive H2O contents and temperatures of the TNC liquids. The most primitive (mafic) basaltic andesites record a pre-eruptive H2O content of 1.5 wt% and a liquidus temperature of 1,060–1,070 °C at upper crustal pressure. This modest H2O content produces a distinctive fractionation trend that is much more enriched in Na, Fe, and Ti than the calc-alkaline trend typical of wetter arc magmas, but slightly less enriched in Fe and Ti than the tholeiitic trend of dry magmas. Modest H2O contents might be expected at Newberry Volcano given its location in the Cascade rear arc, and the same fractionation trend is also observed in the rim andesites of the rear-arc Medicine Lake volcano in the southern Cascades. However, the Na–Fe–Ti enrichment characteristic of modest H2O (1–2 wt%) is also observed to the west of Newberry in magmas erupted from the arc axis, such as the Shevlin Park Tuff and several lava flows from the Three Sisters. This shows that modest-H2O magmas are being generated directly beneath the arc axis as well as in the rear arc. Because liquid lines of descent are particularly sensitive to water content in the range of 0–3 wt% H2O, they provide a quantitative and reliable tool for precisely determining pre-eruptive H2O content using major-element data from pumices or lava flows. Coupled enrichment in Na, Fe, and Ti relative to the calc-alkaline trend is a general feature of fractional crystallization in the presence of modest amounts of H2O, which may be used to look for “damp” fractionation sequences elsewhere.

","language":"English","publisher":"Springer","doi":"10.1007/s00410-014-1066-7","usgsCitation":"Mandler, B.E., Donnelly-Nolan, J.M., and Grove, T.L., 2014, Straddling the tholeiitic/calc-alkaline transition: The effects of modest amounts of water on magmatic differentiation at Newberry Volcano, Oregon: Contributions to Mineralogy and Petrology, v. 168, Article 1066; 25 p., https://doi.org/10.1007/s00410-014-1066-7.","productDescription":"Article 1066; 25 p.","ipdsId":"IP-060074","costCenters":[{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":348126,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Oregon","otherGeospatial":"Newberry Volcano","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -121.28047943115236,\n 43.69915480258559\n ],\n [\n -121.19327545166016,\n 43.69989944167303\n ],\n [\n -121.19327545166016,\n 43.739352079154706\n ],\n [\n -121.27841949462889,\n 43.73736766145917\n ],\n [\n -121.28047943115236,\n 43.69915480258559\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"168","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2014-10-01","publicationStatus":"PW","scienceBaseUri":"59fc2eaae4b0531197b27fa1","contributors":{"authors":[{"text":"Mandler, Ben E.","contributorId":199667,"corporation":false,"usgs":false,"family":"Mandler","given":"Ben","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":719685,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Donnelly-Nolan, Julie M. 0000-0001-8714-9606 jdnolan@usgs.gov","orcid":"https://orcid.org/0000-0001-8714-9606","contributorId":3271,"corporation":false,"usgs":true,"family":"Donnelly-Nolan","given":"Julie","email":"jdnolan@usgs.gov","middleInitial":"M.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":719684,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Grove, Timothy L.","contributorId":193070,"corporation":false,"usgs":false,"family":"Grove","given":"Timothy","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":719686,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70178477,"text":"70178477 - 2014 - A geochemical approach to determine sources and movement of saline groundwater in a coastal aquifer","interactions":[],"lastModifiedDate":"2016-11-21T13:03:57","indexId":"70178477","displayToPublicDate":"2014-10-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3825,"text":"Groundwater","active":true,"publicationSubtype":{"id":10}},"title":"A geochemical approach to determine sources and movement of saline groundwater in a coastal aquifer","docAbstract":"

Geochemical evaluation of the sources and movement of saline groundwater in coastal aquifers can aid in the initial mapping of the subsurface when geological information is unavailable. Chloride concentrations of groundwater in a coastal aquifer near San Diego, California, range from about 57 to 39,400 mg/L. On the basis of relative proportions of major-ions, the chemical composition is classified as Na-Ca-Cl-SO4, Na-Cl, or Na-Ca-Cl type water. δ2H and δ18O values range from −47.7‰ to −12.8‰ and from −7.0‰ to −1.2‰, respectively. The isotopically depleted groundwater occurs in the deeper part of the coastal aquifer, and the isotopically enriched groundwater occurs in zones of sea water intrusion. 87Sr/86Sr ratios range from about 0.7050 to 0.7090, and differ between shallower and deeper flow paths in the coastal aquifer. 3H and 14C analyses indicate that most of the groundwater was recharged many thousands of years ago. The analysis of multiple chemical and isotopic tracers indicates that the sources and movement of saline groundwater in the San Diego coastal aquifer are dominated by: (1) recharge of local precipitation in relatively shallow parts of the flow system; (2) regional flow of recharge of higher-elevation precipitation along deep flow paths that freshen a previously saline aquifer; and (3) intrusion of sea water that entered the aquifer primarily during premodern times. Two northwest-to-southeast trending sections show the spatial distribution of the different geochemical groups and suggest the subsurface in the coastal aquifer can be separated into two predominant hydrostratigraphic layers.

","language":"English","publisher":"National Ground Water Association","doi":"10.1111/gwat.12108","usgsCitation":"Anders, R., Mendez, G.O., Futa, K., and Danskin, W.R., 2014, A geochemical approach to determine sources and movement of saline groundwater in a coastal aquifer: Groundwater, v. 52, no. 5, p. 756-768, https://doi.org/10.1111/gwat.12108.","productDescription":"13 p.","startPage":"756","endPage":"768","ipdsId":"IP-005647","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":331158,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Otay River, San Diego, San Dieguito, Sweetwater River, Tijuana River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -117.28729248046875,\n 32.58616357743131\n ],\n [\n -117.28729248046875,\n 32.967195229355916\n ],\n [\n -116.47979736328125,\n 32.967195229355916\n ],\n [\n -116.47979736328125,\n 32.58616357743131\n ],\n [\n -117.28729248046875,\n 32.58616357743131\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"52","issue":"5","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationDate":"2013-08-28","publicationStatus":"PW","scienceBaseUri":"583415b4e4b0070c0abed82a","contributors":{"authors":[{"text":"Anders, Robert 0000-0002-2363-9072 randers@usgs.gov","orcid":"https://orcid.org/0000-0002-2363-9072","contributorId":1210,"corporation":false,"usgs":true,"family":"Anders","given":"Robert","email":"randers@usgs.gov","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":654127,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mendez, Gregory O. 0000-0002-9955-3726 gomendez@usgs.gov","orcid":"https://orcid.org/0000-0002-9955-3726","contributorId":1489,"corporation":false,"usgs":true,"family":"Mendez","given":"Gregory","email":"gomendez@usgs.gov","middleInitial":"O.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":false,"id":654126,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Futa, Kiyoto 0000-0001-8649-7510 kfuta@usgs.gov","orcid":"https://orcid.org/0000-0001-8649-7510","contributorId":619,"corporation":false,"usgs":true,"family":"Futa","given":"Kiyoto","email":"kfuta@usgs.gov","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":654152,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Danskin, Wesley R. 0000-0001-8672-5501 wdanskin@usgs.gov","orcid":"https://orcid.org/0000-0001-8672-5501","contributorId":1034,"corporation":false,"usgs":true,"family":"Danskin","given":"Wesley","email":"wdanskin@usgs.gov","middleInitial":"R.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":654128,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70186694,"text":"70186694 - 2014 - Mineral resource of the month: Vermiculite","interactions":[],"lastModifiedDate":"2017-04-07T13:04:07","indexId":"70186694","displayToPublicDate":"2014-10-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1419,"text":"Earth","active":true,"publicationSubtype":{"id":10}},"title":"Mineral resource of the month: Vermiculite","docAbstract":"

Vermiculite comprises a group of hydrated, laminar magnesium-aluminum-iron silicate minerals resembling mica. They are secondary minerals, typically altered biotite, iron-rich phlogopite or other micas or clay-like minerals that are themselves sometimes alteration products of amphibole, chlorite, olivine and pyroxene. Vermiculite deposits are associated with volcanic ultramafic rocks rich in magnesium silicate minerals, and flakes of the mineral range in color from black to shades of brown and yellow. The crystal structure of vermiculite contains water molecules, a property that is critical to its processing for common uses.

","language":"English","publisher":"AGI","usgsCitation":"Tanner, A.O., 2014, Mineral resource of the month: Vermiculite: Earth, v. October 2014, HTML Document.","productDescription":"HTML Document","ipdsId":"IP-058027","costCenters":[{"id":432,"text":"National Minerals Information Center","active":true,"usgs":true}],"links":[{"id":339441,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":339408,"type":{"id":15,"text":"Index Page"},"url":"https://www.earthmagazine.org/article/mineral-resource-month-vermiculite"}],"volume":"October 2014","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58e8a545e4b09da6799d63b3","contributors":{"authors":[{"text":"Tanner, Arnold O. atanner@usgs.gov","contributorId":524,"corporation":false,"usgs":true,"family":"Tanner","given":"Arnold","email":"atanner@usgs.gov","middleInitial":"O.","affiliations":[{"id":432,"text":"National Minerals Information Center","active":true,"usgs":true}],"preferred":true,"id":690301,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70127474,"text":"pp1798L - 2014 - Ecosystem effects in the Lower Mississippi River Basin","interactions":[{"subject":{"id":70127474,"text":"pp1798L - 2014 - Ecosystem effects in the Lower Mississippi River Basin","indexId":"pp1798L","publicationYear":"2014","noYear":false,"chapter":"L","title":"Ecosystem effects in the Lower Mississippi River Basin"},"predicate":"IS_PART_OF","object":{"id":70047427,"text":"pp1798 - 2013 - 2011 floods of the central United States","indexId":"pp1798","publicationYear":"2013","noYear":false,"title":"2011 floods of the central United States"},"id":1}],"isPartOf":{"id":70047427,"text":"pp1798 - 2013 - 2011 floods of the central United States","indexId":"pp1798","publicationYear":"2013","noYear":false,"title":"2011 floods of the central United States"},"lastModifiedDate":"2024-10-18T13:34:20.954125","indexId":"pp1798L","displayToPublicDate":"2014-09-30T15:21:00","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":331,"text":"Professional Paper","code":"PP","onlineIssn":"2330-7102","printIssn":"1044-9612","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"1798","chapter":"L","title":"Ecosystem effects in the Lower Mississippi River Basin","docAbstract":"The 2011 Mississippi River flood in the Lower Mississippi River Basin was one of the largest flood events in recorded history, producing the largest or next to largest peak streamflow for the period of record at a number of streamgages on the lower Mississippi River. Ecosystem effects include changes to wetlands, nutrient transport, and land accretion and sediment deposition changes. Direct effects to the wetland ecosystems in the Lower Mississippi River Basin were minimized because of the expansive levee system built to pass floodwaters. Nutrients carried by the Mississippi River affect water quality in the Lower Mississippi River Basin. During 2011, nutrient fluxes in the lower Mississippi River were about average. Generally, nutrient delivery of the Mississippi and Atchafalaya Rivers contributes to the size of the hypoxic zone in the Gulf of Mexico. Based on available limited post-flood satellite imagery, some land expansion in both the Wax Lake and Atchafalaya River Deltas was observed. A wetland sediment survey completed in June 2011 indicated that recent sediment deposits were relatively thicker in the Atchafalaya and Mississippi River (Birdsfoot) Delta marshes compared to marshes farther from these rivers.","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"2011 Floods of the Central United States","largerWorkSubtype":{"id":5,"text":"USGS Numbered Series"},"language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/pp1798L","usgsCitation":"Turnipseed, D.P., Allen, Y.C., Couvillion, B., McKee, K.L., and Vervaeke, W.C., 2014, Ecosystem effects in the Lower Mississippi River Basin: U.S. Geological Survey Professional Paper 1798, v, 17 p., https://doi.org/10.3133/pp1798L.","productDescription":"v, 17 p.","numberOfPages":"27","onlineOnly":"Y","ipdsId":"IP-042190","costCenters":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"links":[{"id":294671,"rank":1,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/pp/1798l/pdf/pp1798l.pdf"},{"id":294691,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/pp/1798l/"},{"id":294672,"rank":3,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/pp1798l.jpg"}],"country":"United States","state":"Louisiana, Mississippi","otherGeospatial":"Mississippi River","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -91.830936,29.164113 ], [ -91.830936,32.428085 ], [ -89.918735,32.428085 ], [ -89.918735,29.164113 ], [ -91.830936,29.164113 ] ] ] } } ] }","contact":"

Contact Pubs Warehouse

","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"542bb80be4b0abfb4c809680","contributors":{"authors":[{"text":"Turnipseed, D. Phil 0000-0002-9737-3203 pturnip@usgs.gov","orcid":"https://orcid.org/0000-0002-9737-3203","contributorId":298,"corporation":false,"usgs":true,"family":"Turnipseed","given":"D.","email":"pturnip@usgs.gov","middleInitial":"Phil","affiliations":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"preferred":true,"id":502338,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Allen, Yvonne C.","contributorId":94403,"corporation":false,"usgs":true,"family":"Allen","given":"Yvonne","email":"","middleInitial":"C.","affiliations":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"preferred":false,"id":502340,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Couvillion, Brady R. 0000-0001-5323-1687","orcid":"https://orcid.org/0000-0001-5323-1687","contributorId":98834,"corporation":false,"usgs":true,"family":"Couvillion","given":"Brady R.","affiliations":[],"preferred":false,"id":502342,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"McKee, Karen L. 0000-0001-7042-670X","orcid":"https://orcid.org/0000-0001-7042-670X","contributorId":8927,"corporation":false,"usgs":true,"family":"McKee","given":"Karen","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":502339,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Vervaeke, William C. 0000-0002-1518-5197","orcid":"https://orcid.org/0000-0002-1518-5197","contributorId":96613,"corporation":false,"usgs":false,"family":"Vervaeke","given":"William","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":502341,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70127481,"text":"70127481 - 2014 - Mercury deposition and methylmercury formation in Narraguinnep Reservoir, southwestern Colorado, USA","interactions":[],"lastModifiedDate":"2014-10-10T16:32:57","indexId":"70127481","displayToPublicDate":"2014-09-30T10:06:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":835,"text":"Applied Geochemistry","active":true,"publicationSubtype":{"id":10}},"title":"Mercury deposition and methylmercury formation in Narraguinnep Reservoir, southwestern Colorado, USA","docAbstract":"Narraguinnep Reservoir in southwestern Colorado is one of several water bodies in Colorado with a mercury (Hg) advisory as Hg in fish tissue exceed the 0.3 μg/g guideline to protect human health recommended by the State of Colorado. Concentrations of Hg and methyl-Hg were measured in reservoir bottom sediment and pore water extracted from this sediment. Rates of Hg methylation and methyl-Hg demethylation were also measured in reservoir bottom sediment. The objective of this study was to evaluate potential sources of Hg in the region and evaluate the potential of reservoir sediment to generate methyl-Hg, a human neurotoxin and the dominant form of Hg in fish. Concentrations of Hg (ranged from 1.1 to 5.8 ng/L, n = 15) and methyl-Hg (ranged from 0.05 to 0.14 ng/L, n = 15) in pore water generally were highest at the sediment/water interface, and overall, Hg correlated with methyl-Hg in pore water (R2 = 0.60, p = 0007, n = 15). Net Hg methylation flux in the top 3 cm of reservoir bottom sediment varied from 0.08 to 0.56 ng/m2/day (mean = 0.28 ng/m2/day, n = 5), which corresponded to an overall methyl-Hg production for the entire reservoir of 0.53 g/year. No significant point sources of Hg contamination are known to this reservoir or its supply waters, although several coal-fired power plants in the region emit Hg-bearing particulates. Narraguinnep Reservoir is located about 80 km downwind from two of the largest power plants, which together emit about 950 kg-Hg/year. Magnetic minerals separated from reservoir sediment contained spherical magnetite-bearing particles characteristic of coal-fired electric power plant fly ash. The presence of fly-ash magnetite in post-1970 sediment from Narraguinnep Reservoir indicates that the likely source of Hg to the catchment basin for this reservoir has been from airborne emissions from power plants, most of which began operation in the late-1960s and early 1970s in this region.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Applied Geochemistry","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"International Association of Geochemistry and Cosmochemistry","publisherLocation":"New York, NY","doi":"10.1016/j.apgeochem.2014.09.001","usgsCitation":"Gray, J.E., Hines, M.E., Goldstein, H., and Reynolds, R.L., 2014, Mercury deposition and methylmercury formation in Narraguinnep Reservoir, southwestern Colorado, USA: Applied Geochemistry, v. 50, p. 82-90, https://doi.org/10.1016/j.apgeochem.2014.09.001.","productDescription":"9 p.","startPage":"82","endPage":"90","numberOfPages":"9","ipdsId":"IP-055075","costCenters":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"links":[{"id":472737,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.apgeochem.2014.09.001","text":"Publisher Index Page"},{"id":294615,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":294581,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.apgeochem.2014.09.001"}],"country":"United States","state":"Colorado","otherGeospatial":"Narraguinnep Reservoir","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -108.634079,37.482226 ], [ -108.634079,37.501924 ], [ -108.606567,37.501924 ], [ -108.606567,37.482226 ], [ -108.634079,37.482226 ] ] ] } } ] }","volume":"50","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"542bb80de4b0abfb4c809696","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":502352,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hines, Mark E.","contributorId":43180,"corporation":false,"usgs":true,"family":"Hines","given":"Mark","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":502354,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Goldstein, Harland L.","contributorId":32999,"corporation":false,"usgs":true,"family":"Goldstein","given":"Harland L.","affiliations":[],"preferred":false,"id":502353,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Reynolds, Richard L. 0000-0002-4572-2942 rreynolds@usgs.gov","orcid":"https://orcid.org/0000-0002-4572-2942","contributorId":441,"corporation":false,"usgs":true,"family":"Reynolds","given":"Richard","email":"rreynolds@usgs.gov","middleInitial":"L.","affiliations":[{"id":271,"text":"Federal Center","active":false,"usgs":true}],"preferred":true,"id":502351,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70127476,"text":"70127476 - 2014 - Depletion and capture: revisiting “The source of water derived from wells\"","interactions":[],"lastModifiedDate":"2017-06-30T13:34:36","indexId":"70127476","displayToPublicDate":"2014-09-30T09:50:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3825,"text":"Groundwater","active":true,"publicationSubtype":{"id":10}},"title":"Depletion and capture: revisiting “The source of water derived from wells\"","docAbstract":"A natural consequence of groundwater withdrawals is the removal of water from subsurface storage, but the overall rates and magnitude of groundwater depletion and capture relative to groundwater withdrawals (extraction or pumpage) have not previously been well characterized. This study assesses the partitioning of long-term cumulative withdrawal volumes into fractions derived from storage depletion and capture, where capture includes both increases in recharge and decreases in discharge. Numerical simulation of a hypothetical groundwater basin is used to further illustrate some of Theis' (1940) principles, particularly when capture is constrained by insufficient available water. Most prior studies of depletion and capture have assumed that capture is unconstrained through boundary conditions that yield linear responses. Examination of real systems indicates that capture and depletion fractions are highly variable in time and space. For a large sample of long-developed groundwater systems, the depletion fraction averages about 0.15 and the capture fraction averages about 0.85 based on cumulative volumes. Higher depletion fractions tend to occur in more arid regions, but the variation is high and the correlation coefficient between average annual precipitation and depletion fraction for individual systems is only 0.40. Because 85% of long-term pumpage is derived from capture in these real systems, capture must be recognized as a critical factor in assessing water budgets, groundwater storage depletion, and sustainability of groundwater development. Most capture translates into streamflow depletion, so it can detrimentally impact ecosystems.","language":"English","publisher":"National Ground Water Association","doi":"10.1111/gwat.12204","usgsCitation":"Konikow, L.F., and Leake, S.A., 2014, Depletion and capture: revisiting “The source of water derived from wells\": Groundwater, v. 52, no. S1, p. 100-111, https://doi.org/10.1111/gwat.12204.","productDescription":"12 p.","startPage":"100","endPage":"111","ipdsId":"IP-054362","costCenters":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"links":[{"id":294609,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":294578,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1111/gwat.12204"}],"volume":"52","issue":"S1","noUsgsAuthors":false,"publicationDate":"2014-05-28","publicationStatus":"PW","scienceBaseUri":"542bb80be4b0abfb4c809670","contributors":{"authors":[{"text":"Konikow, Leonard F. 0000-0002-0940-3856 lkonikow@usgs.gov","orcid":"https://orcid.org/0000-0002-0940-3856","contributorId":158,"corporation":false,"usgs":true,"family":"Konikow","given":"Leonard","email":"lkonikow@usgs.gov","middleInitial":"F.","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":502343,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Leake, Stanley A. 0000-0003-3568-2542 saleake@usgs.gov","orcid":"https://orcid.org/0000-0003-3568-2542","contributorId":1846,"corporation":false,"usgs":true,"family":"Leake","given":"Stanley","email":"saleake@usgs.gov","middleInitial":"A.","affiliations":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true}],"preferred":true,"id":502344,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70127550,"text":"70127550 - 2014 - Seismological and geodetic constraints on the 2011 Mw5.3 Trinidad, Colorado earthquake and induced deformation in the Raton Basin","interactions":[],"lastModifiedDate":"2016-12-14T12:10:15","indexId":"70127550","displayToPublicDate":"2014-09-30T09:49:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2314,"text":"Journal of Geophysical Research B: Solid Earth","active":true,"publicationSubtype":{"id":10}},"title":"Seismological and geodetic constraints on the 2011 Mw5.3 Trinidad, Colorado earthquake and induced deformation in the Raton Basin","docAbstract":"

The Raton Basin of southern Colorado and northern New Mexico is an actively produced hydrocarbon basin that has experienced increased seismicity since 2001, including the August 2011 Mw5.3 Trinidad normal faulting event. Following the 2011 earthquake, regional seismic observations were used to relocate 21 events, including the 2011 main shock, two foreshocks, and 13 aftershocks. Additionally, interferometric synthetic aperture radar (InSAR) observations of both the 2011 event and preevent basin deformation place constraint on the spatial kinematics of the 2011 event and localized basin subsidence due to ground water or gas withdrawal. We find that the 2011 earthquake ruptured an 8–10 km long segment of a normal fault at depths of 1.5–6.0 km within the crystalline Precambrian basement underlying the Raton Basin sedimentary rocks. The earthquake also nucleated within the crystalline basement in the vicinity of an active wastewater disposal site. The ensuing aftershock sequence demonstrated statistical properties expected for intraplate earthquakes, though the length of the 2011 earthquake is unexpectedly long for an Mw5.3 event, suggesting that wastewater disposal may have triggered a low stress drop, otherwise natural earthquake. Additionally, preevent and postevent seismicity in the Raton Basin spatially correlates to regions of subsidence observed in InSAR time series analysis. While these observations cannot discern a causal link between hydrocarbon production and seismicity, they constrain spatial relationships between active basin deformation and geological and anthropogenic features. Furthermore, the InSAR observations highlight the utility of space-based geodetic observations for monitoring and assessing anthropogenically induced and triggered deformation.

","language":"English","publisher":"AGU Publications","doi":"10.1002/2014JB011227","usgsCitation":"Barnhart, W.D., Benz, H.M., Hayes, G., Rubinstein, J.L., and Bergman, E., 2014, Seismological and geodetic constraints on the 2011 Mw5.3 Trinidad, Colorado earthquake and induced deformation in the Raton Basin: Journal of Geophysical Research B: Solid Earth, v. 119, no. 10, p. 7923-7933, https://doi.org/10.1002/2014JB011227.","productDescription":"11 p.","startPage":"7923","endPage":"7933","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-059794","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":294608,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":294607,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1002/2014JB011227"}],"volume":"119","issue":"10","noUsgsAuthors":false,"publicationDate":"2014-10-23","publicationStatus":"PW","scienceBaseUri":"542bb80ee4b0abfb4c8096a1","contributors":{"authors":[{"text":"Barnhart, William D. wbarnhart@usgs.gov","contributorId":5299,"corporation":false,"usgs":true,"family":"Barnhart","given":"William","email":"wbarnhart@usgs.gov","middleInitial":"D.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":502391,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Benz, Harley M. 0000-0002-6860-2134 benz@usgs.gov","orcid":"https://orcid.org/0000-0002-6860-2134","contributorId":794,"corporation":false,"usgs":true,"family":"Benz","given":"Harley","email":"benz@usgs.gov","middleInitial":"M.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":502389,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hayes, Gavin P. 0000-0003-3323-0112","orcid":"https://orcid.org/0000-0003-3323-0112","contributorId":6157,"corporation":false,"usgs":true,"family":"Hayes","given":"Gavin P.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":502392,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Rubinstein, Justin L. 0000-0003-1274-6785 jrubinstein@usgs.gov","orcid":"https://orcid.org/0000-0003-1274-6785","contributorId":2404,"corporation":false,"usgs":true,"family":"Rubinstein","given":"Justin","email":"jrubinstein@usgs.gov","middleInitial":"L.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":502390,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bergman, E.","contributorId":84289,"corporation":false,"usgs":true,"family":"Bergman","given":"E.","affiliations":[],"preferred":false,"id":502393,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70127471,"text":"70127471 - 2014 - Can mercury in fish be reduced by water level management? Evaluating the effects of water level fluctuation on mercury accumulation in yellow perch (Perca flavescens)","interactions":[],"lastModifiedDate":"2014-09-30T09:43:19","indexId":"70127471","displayToPublicDate":"2014-09-30T09:42:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1479,"text":"Ecotoxicology","active":true,"publicationSubtype":{"id":10}},"title":"Can mercury in fish be reduced by water level management? Evaluating the effects of water level fluctuation on mercury accumulation in yellow perch (Perca flavescens)","docAbstract":"Mercury (Hg) contamination of fisheries is a major concern for resource managers of many temperate lakes. Anthropogenic Hg contamination is largely derived from atmospheric deposition within a lake’s watershed, but its incorporation into the food web is facilitated by bacterial activity in sediments. Temporal variation in Hg content of fish (young-of-year yellow perch) in the regulated lakes of the Rainy–Namakan complex (on the border of the United States and Canada) has been linked to water level (WL) fluctuations, presumably through variation in sediment inundation. As a result, Hg contamination of fish has been linked to international regulations of WL fluctuation. Here we assess the relationship between WL fluctuations and fish Hg content using a 10-year dataset covering six lakes. Within-year WL rise did not appear in strongly supported models of fish Hg, but year-to-year variation in maximum water levels (∆maxWL) was positively associated with fish Hg content. This WL effect varied in magnitude among lakes: In Crane Lake, a 1 m increase in ∆maxWL from the previous year was associated with a 108 ng increase in fish Hg content (per gram wet weight), while the same WL change in Kabetogama was associated with only a 5 ng increase in fish Hg content. In half the lakes sampled here, effect sizes could not be distinguished from zero. Given the persistent and wide-ranging extent of Hg contamination and the large number of regulated waterways, future research is needed to identify the conditions in which WL fluctuations influence fish Hg content.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Ecotoxicology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Springer","doi":"10.1007/s10646-014-1296-5","usgsCitation":"Larson, J.H., Maki, R., Knights, B.C., and Gray, B.R., 2014, Can mercury in fish be reduced by water level management? Evaluating the effects of water level fluctuation on mercury accumulation in yellow perch (Perca flavescens): Ecotoxicology, v. 23, no. 8, p. 1555-1563, https://doi.org/10.1007/s10646-014-1296-5.","productDescription":"9 p.","startPage":"1555","endPage":"1563","ipdsId":"IP-050898","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":294603,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":294576,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s10646-014-1296-5"}],"country":"Canada;United States","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -93.203689,48.299689 ], [ -93.203689,48.631628 ], [ -92.453285,48.631628 ], [ -92.453285,48.299689 ], [ -93.203689,48.299689 ] ] ] } } ] }","volume":"23","issue":"8","noUsgsAuthors":false,"publicationDate":"2014-08-19","publicationStatus":"PW","scienceBaseUri":"542bb809e4b0abfb4c809664","contributors":{"authors":[{"text":"Larson, James H. 0000-0002-6414-9758 jhlarson@usgs.gov","orcid":"https://orcid.org/0000-0002-6414-9758","contributorId":4250,"corporation":false,"usgs":true,"family":"Larson","given":"James","email":"jhlarson@usgs.gov","middleInitial":"H.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":502335,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Maki, Ryan P.","contributorId":100111,"corporation":false,"usgs":true,"family":"Maki","given":"Ryan P.","affiliations":[],"preferred":false,"id":502336,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Knights, Brent C. 0000-0001-8526-8468 bknights@usgs.gov","orcid":"https://orcid.org/0000-0001-8526-8468","contributorId":2906,"corporation":false,"usgs":true,"family":"Knights","given":"Brent","email":"bknights@usgs.gov","middleInitial":"C.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":502334,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gray, Brian R. 0000-0001-7682-9550 brgray@usgs.gov","orcid":"https://orcid.org/0000-0001-7682-9550","contributorId":2615,"corporation":false,"usgs":true,"family":"Gray","given":"Brian","email":"brgray@usgs.gov","middleInitial":"R.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":502333,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70118929,"text":"ofr20141151 - 2014 - U.S. Geological Survey quality-assurance plan for continuous water-quality monitoring in Kansas, 2014","interactions":[],"lastModifiedDate":"2014-09-30T08:51:54","indexId":"ofr20141151","displayToPublicDate":"2014-09-30T08:46:00","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2014-1151","title":"U.S. Geological Survey quality-assurance plan for continuous water-quality monitoring in Kansas, 2014","docAbstract":"A quality-assurance plan for use in conducting continuous water-quality monitoring activities has been developed for the Kansas Water Science Center in accordance with guidelines set forth by the U.S. Geological Survey. This quality-assurance plan documents the standards, policies, and procedures used by the U.S. Geological Survey in Kansas for activities related to the collection, processing, storage, analysis, and release of continuous water-quality monitoring data. The policies and procedures that are documented in this quality-assurance plan for continuous water-quality monitoring activities complement quality-assurance plans for surface-water and groundwater activities in Kansas.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20141151","usgsCitation":"Bennett, T.J., Graham, J.L., Foster, G., Stone, M.L., Juracek, K.E., Rasmussen, T.J., and Putnam, J.E., 2014, U.S. Geological Survey quality-assurance plan for continuous water-quality monitoring in Kansas, 2014: U.S. Geological Survey Open-File Report 2014-1151, vii, 70 p., https://doi.org/10.3133/ofr20141151.","productDescription":"vii, 70 p.","numberOfPages":"82","onlineOnly":"Y","ipdsId":"IP-054103","costCenters":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"links":[{"id":294598,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20141151.jpg"},{"id":294580,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2014/1151/"},{"id":294597,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2014/1151/pdf/ofr2014-1151.pdf"}],"country":"United States","state":"Kansas","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -102.0518,36.9931 ], [ -102.0518,40.0031 ], [ -94.5882,40.0031 ], [ -94.5882,36.9931 ], [ -102.0518,36.9931 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"542bb80fe4b0abfb4c8096bf","contributors":{"authors":[{"text":"Bennett, Trudy J. trudyben@usgs.gov","contributorId":4218,"corporation":false,"usgs":true,"family":"Bennett","given":"Trudy","email":"trudyben@usgs.gov","middleInitial":"J.","affiliations":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"preferred":false,"id":497517,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Graham, Jennifer L. 0000-0002-6420-9335 jlgraham@usgs.gov","orcid":"https://orcid.org/0000-0002-6420-9335","contributorId":1769,"corporation":false,"usgs":true,"family":"Graham","given":"Jennifer","email":"jlgraham@usgs.gov","middleInitial":"L.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":497512,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Foster, Guy M. gfoster@usgs.gov","contributorId":3437,"corporation":false,"usgs":true,"family":"Foster","given":"Guy M.","email":"gfoster@usgs.gov","affiliations":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"preferred":false,"id":497516,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Stone, Mandy L. 0000-0002-6711-1536 mstone@usgs.gov","orcid":"https://orcid.org/0000-0002-6711-1536","contributorId":4409,"corporation":false,"usgs":true,"family":"Stone","given":"Mandy","email":"mstone@usgs.gov","middleInitial":"L.","affiliations":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"preferred":true,"id":497518,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Juracek, Kyle E. 0000-0002-2102-8980 kjuracek@usgs.gov","orcid":"https://orcid.org/0000-0002-2102-8980","contributorId":2022,"corporation":false,"usgs":true,"family":"Juracek","given":"Kyle","email":"kjuracek@usgs.gov","middleInitial":"E.","affiliations":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"preferred":true,"id":497514,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Rasmussen, Teresa J. 0000-0002-7023-3868 rasmuss@usgs.gov","orcid":"https://orcid.org/0000-0002-7023-3868","contributorId":3336,"corporation":false,"usgs":true,"family":"Rasmussen","given":"Teresa","email":"rasmuss@usgs.gov","middleInitial":"J.","affiliations":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"preferred":true,"id":497515,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Putnam, James E. jputnam@usgs.gov","contributorId":2021,"corporation":false,"usgs":true,"family":"Putnam","given":"James","email":"jputnam@usgs.gov","middleInitial":"E.","affiliations":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"preferred":false,"id":497513,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70186044,"text":"70186044 - 2014 - Caution on the use of NBS 30 biotite for hydrogen-isotope measurements with on-line high-temperature conversion systems","interactions":[],"lastModifiedDate":"2017-03-30T11:35:17","indexId":"70186044","displayToPublicDate":"2014-09-30T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3233,"text":"Rapid Communications in Mass Spectrometry","active":true,"publicationSubtype":{"id":10}},"title":"Caution on the use of NBS 30 biotite for hydrogen-isotope measurements with on-line high-temperature conversion systems","docAbstract":"

RATIONALE

The supply of NBS 30 biotite is nearly exhausted. During measurements of NBS 30 and potential replacements, reproducible δ2HVSMOW-SLAP values could not be obtained by three laboratories using high-temperature conversion (HTC) systems. The cause of this issue has been investigated using the silver-tube technique for hydrogen-isotope measurements of water.

METHODS

The δ2HVSMOW-SLAP values of NBS 30 biotite, other biotites, muscovites, and kaolinite with different particle sizes, along with IAEA-CH-7 polyethylene, and reference waters and NBS 22 oil that were sealed in silver-tube segments, were measured. The effect of absorbed water on mineral surfaces was investigated with waters both enriched and depleted in 2H. The quantitative conversion of hydrogen from biotite into gaseous hydrogen as a function of mass and particle size was also investigated.

RESULTS

The δ2HVSMOW-SLAP values of NBS 30 obtained by three laboratories were as much as 21 ‰ too high compared with the accepted value of −65.7 ‰, determined by conventional off-line measurements. The experiments showed a strong correlation between grain size and the δ2HVSMOW-SLAP value of NBS 30 biotite, but not of biotites with lower iron content. The δ2HVSMOW-SLAP values of NBS 30 as a function of particle size show a clear trend toward −65.7 ‰ with finer grain size.

CONCLUSIONS

Determination of the δ2HVSMOW-SLAP values of hydrous minerals and of NBS 30 biotite by on-line HTC systems coupled to isotope-ratio mass spectrometers may be unreliable because hydrogen in this biotite may not be converted quantitatively into molecular hydrogen. Extreme caution in the use and interpretation of δ2HVSMOW-SLAP on-line measurements of hydrous minerals is recommended.

","language":"English","publisher":"Wiley","doi":"10.1002/rcm.6983","usgsCitation":"Qi, H., Coplen, T.B., Olack, G., and Vennemann, T.W., 2014, Caution on the use of NBS 30 biotite for hydrogen-isotope measurements with on-line high-temperature conversion systems: Rapid Communications in Mass Spectrometry, v. 28, no. 18, p. 1987-1994, https://doi.org/10.1002/rcm.6983.","productDescription":"8 p.","startPage":"1987","endPage":"1994","ipdsId":"IP-057931","costCenters":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"links":[{"id":338809,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"28","issue":"18","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2014-08-05","publicationStatus":"PW","scienceBaseUri":"58de1951e4b02ff32c699cb1","contributors":{"authors":[{"text":"Qi, Haiping 0000-0002-8339-744X haipingq@usgs.gov","orcid":"https://orcid.org/0000-0002-8339-744X","contributorId":507,"corporation":false,"usgs":true,"family":"Qi","given":"Haiping","email":"haipingq@usgs.gov","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":687447,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Coplen, Tyler B. 0000-0003-4884-6008 tbcoplen@usgs.gov","orcid":"https://orcid.org/0000-0003-4884-6008","contributorId":508,"corporation":false,"usgs":true,"family":"Coplen","given":"Tyler","email":"tbcoplen@usgs.gov","middleInitial":"B.","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true},{"id":37464,"text":"WMA - Laboratory & Analytical Services Division","active":true,"usgs":true},{"id":27111,"text":"National Water Quality Program","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":687448,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Olack, Gerard","contributorId":190167,"corporation":false,"usgs":false,"family":"Olack","given":"Gerard","email":"","affiliations":[],"preferred":false,"id":687449,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Vennemann, Torsten W.","contributorId":190168,"corporation":false,"usgs":false,"family":"Vennemann","given":"Torsten","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":687450,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70175450,"text":"70175450 - 2014 - Bird mortality during nocturnal migration over Lake Michigan: A case study","interactions":[],"lastModifiedDate":"2016-08-11T16:14:59","indexId":"70175450","displayToPublicDate":"2014-09-29T17:15:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3784,"text":"Wilson Journal of Ornithology","active":true,"publicationSubtype":{"id":10}},"title":"Bird mortality during nocturnal migration over Lake Michigan: A case study","docAbstract":"

Millions of birds die each year during migration. Most of this mortality goes unobserved and conditions surrounding the actual events are often not thoroughly documented. We present a case study of substantial migrant casualties along the shores of southwestern Lake Michigan during May 1996 when we found 2,981 dead birds of 114 species, mostly migrant passerines. An unusual sequence of events allowed us to document the circumstances surrounding this migratory bird kill. Bird carcasses appeared on the southwestern shores of Lake Michigan in the days following storm systems that produced high rain and in one case, hail. Encounters between birds and precipitation over open water were recorded by weather radar, and were followed by winds that drifted dead birds toward highly populated shorelines where the kill was observed and documented. Climatologically, May 1996 was exceptional for producing weather conditions that both killed birds en masse and allowed the mortality to be documented. As a result, this is one of the more thoroughly documented instances of a weather-related mass mortality event during migration.

","language":"English","publisher":"Wilson Ornithological Society","publisherLocation":"Lawrence, KS","doi":"10.1676/12-191.1","usgsCitation":"Diehl, R.H., Bates, J.M., Willard, D.E., and Gnoske, T.P., 2014, Bird mortality during nocturnal migration over Lake Michigan: A case study: Wilson Journal of Ornithology, v. 126, no. 1, p. 19-29, https://doi.org/10.1676/12-191.1.","startPage":"19","endPage":"29","numberOfPages":"11","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-042759","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":326421,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Lake Michigan","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -92.900390625,\n 39.487084981687495\n ],\n [\n -92.900390625,\n 44.91813929958515\n ],\n [\n -83.3203125,\n 44.91813929958515\n ],\n [\n -83.3203125,\n 39.487084981687495\n ],\n [\n -92.900390625,\n 39.487084981687495\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"126","issue":"1","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57ada1b4e4b0f412a62dfa52","contributors":{"authors":[{"text":"Diehl, Robert H. 0000-0001-9141-1734 rhdiehl@usgs.gov","orcid":"https://orcid.org/0000-0001-9141-1734","contributorId":3396,"corporation":false,"usgs":true,"family":"Diehl","given":"Robert","email":"rhdiehl@usgs.gov","middleInitial":"H.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":645310,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bates, John M.","contributorId":173617,"corporation":false,"usgs":false,"family":"Bates","given":"John","email":"","middleInitial":"M.","affiliations":[{"id":27255,"text":"Field Museum of Natural History, Chicago, IL","active":true,"usgs":false}],"preferred":false,"id":645311,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Willard, David E.","contributorId":173616,"corporation":false,"usgs":false,"family":"Willard","given":"David","email":"","middleInitial":"E.","affiliations":[{"id":27255,"text":"Field Museum of Natural History, Chicago, IL","active":true,"usgs":false}],"preferred":false,"id":645312,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Gnoske, Thomas P.","contributorId":173618,"corporation":false,"usgs":false,"family":"Gnoske","given":"Thomas","email":"","middleInitial":"P.","affiliations":[{"id":27255,"text":"Field Museum of Natural History, Chicago, IL","active":true,"usgs":false}],"preferred":false,"id":645313,"contributorType":{"id":1,"text":"Authors"},"rank":13}]}} ,{"id":70122401,"text":"sir20145153 - 2014 - Hydrogeology, water resources, and water budget of the upper Rio Hondo Basin, Lincoln County, New Mexico, 2010","interactions":[],"lastModifiedDate":"2014-10-02T09:55:18","indexId":"sir20145153","displayToPublicDate":"2014-09-29T15:06:00","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2014-5153","title":"Hydrogeology, water resources, and water budget of the upper Rio Hondo Basin, Lincoln County, New Mexico, 2010","docAbstract":"

The upper Rio Hondo Basin occupies a drainage area of 585 square miles in south-central New Mexico and comprises three general hydrogeologic terranes: the higher elevation “Mountain Block,” the “Central Basin” piedmont area, and the lower elevation “Hondo Slope.” As many as 12 hydrostratigraphic units serve as aquifers locally and form a continuous aquifer on the regional scale. Streams and aquifers in the basin are closely interconnected, with numerous gaining and losing stream reaches across the study area. In general, the aquifers are characterized by low storage capacity and respond to short-term and long-term variations in recharge with marked water-level fluctuations on short (days to months) and long (decadal) time scales. Droughts and local groundwater withdrawals have caused marked water-table declines in some areas, whereas periodically heavy monsoons and snowmelt events have rapidly recharged aquifers in some areas.

\n
\n

A regional-scale conceptual water budget was developed for the study area in order to gain a basic understanding of the magnitude of the various components of input, output, and change in storage. The primary input is watershed yield from the Mountain Block terrane, supplying about 38,200 to 42,300 acre-feet per year (acre-ft/yr) to the basin, as estimated by comparing the residual of precipitation and evapotranspiration with local streamgage data. Streamflow from the basin averaged about 21,200 acre-ft/yr, and groundwater output left the basin at an estimated 2,300 to 5,700 acre-ft/yr. The other major output (about 13,500 acre-ft/yr) was by public water supply, private water supply, livestock, commercial and industrial uses, and the Bonito Pipeline. The residual in the water budget, the difference between the totals of the input and output terms or the potential change in storage, ranged from -2,200 acre-ft/yr to +5,300 acre-ft/yr. There is a high degree of variability in precipitation and consequently in the water supply; small variations in annual precipitation can result in major changes in overall watershed yield. Changing water-use patterns, concentrated areas of groundwater withdrawal, and variations in precipitation have created localized areas where water-table declines and diminished surface flow are of concern.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20145153","collaboration":"Prepared in cooperation with Lincoln County, New Mexico","usgsCitation":"Darr, M.J., McCoy, K.J., Rattray, G.W., and Durall, R.A., 2014, Hydrogeology, water resources, and water budget of the upper Rio Hondo Basin, Lincoln County, New Mexico, 2010: U.S. Geological Survey Scientific Investigations Report 2014-5153, ix, 72 p., https://doi.org/10.3133/sir20145153.","productDescription":"ix, 72 p.","numberOfPages":"86","onlineOnly":"Y","ipdsId":"IP-031410","costCenters":[{"id":472,"text":"New Mexico Water Science Center","active":true,"usgs":true}],"links":[{"id":294590,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20145153.jpg"},{"id":294588,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2014/5153/"},{"id":294589,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2014/5153/pdf/sir2014-5153.pdf"}],"state":"New Mexico","county":"Lincoln","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -148.56,50.23 ], [ -148.56,64.46 ], [ -126.45,64.46 ], [ -126.45,50.23 ], [ -148.56,50.23 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"542a66abe4b01535cb427251","contributors":{"authors":[{"text":"Darr, Michael J. mjdarr@usgs.gov","contributorId":4239,"corporation":false,"usgs":true,"family":"Darr","given":"Michael","email":"mjdarr@usgs.gov","middleInitial":"J.","affiliations":[],"preferred":true,"id":499508,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McCoy, Kurt J. 0000-0002-9756-8238 kjmccoy@usgs.gov","orcid":"https://orcid.org/0000-0002-9756-8238","contributorId":1391,"corporation":false,"usgs":true,"family":"McCoy","given":"Kurt","email":"kjmccoy@usgs.gov","middleInitial":"J.","affiliations":[{"id":37280,"text":"Virginia and West Virginia Water Science Center ","active":true,"usgs":true}],"preferred":true,"id":499506,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rattray, Gordon W. 0000-0002-1690-3218 grattray@usgs.gov","orcid":"https://orcid.org/0000-0002-1690-3218","contributorId":2521,"corporation":false,"usgs":true,"family":"Rattray","given":"Gordon","email":"grattray@usgs.gov","middleInitial":"W.","affiliations":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"preferred":true,"id":499507,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Durall, Roger A.","contributorId":70225,"corporation":false,"usgs":true,"family":"Durall","given":"Roger","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":499509,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70127095,"text":"70127095 - 2014 - Pesticides in groundwater of the United States: decadal-scale changes, 1993-2011","interactions":[],"lastModifiedDate":"2017-06-30T13:35:43","indexId":"70127095","displayToPublicDate":"2014-09-26T09:21:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3825,"text":"Groundwater","active":true,"publicationSubtype":{"id":10}},"title":"Pesticides in groundwater of the United States: decadal-scale changes, 1993-2011","docAbstract":"The national occurrence of 83 pesticide compounds in groundwater of the United States and decadal-scale changes in concentrations for 35 compounds were assessed for the 20-year period from 1993–2011. Samples were collected from 1271 wells in 58 nationally distributed well networks. Networks consisted of shallow (mostly monitoring) wells in agricultural and urban land-use areas and deeper (mostly domestic and public supply) wells in major aquifers in mixed land-use areas. Wells were sampled once during 1993–2001 and once during 2002–2011. Pesticides were frequently detected (53% of all samples), but concentrations seldom exceeded human-health benchmarks (1.8% of all samples). The five most frequently detected pesticide compounds—atrazine, deethylatrazine, simazine, metolachlor, and prometon—each had statistically significant (p < 0.1) changes in concentrations between decades in one or more categories of well networks nationally aggregated by land use. For agricultural networks, concentrations of atrazine, metolachlor, and prometon decreased from the first decade to the second decade. For urban networks, deethylatrazine concentrations increased and prometon concentrations decreased. For major aquifers, concentrations of deethylatrazine and simazine increased. The directions of concentration changes for individual well networks generally were consistent with changes determined from nationally aggregated data. Altogether, 36 of the 58 individual well networks had statistically significant changes in concentrations of one or more pesticides between decades, with the majority of changes attributed to the five most frequently detected pesticide compounds. The magnitudes of median decadal-scale concentration changes were small—ranging from −0.09 to 0.03 µg/L—and were 35- to 230,000-fold less than human-health benchmarks.","language":"English","publisher":"Wiley","doi":"10.1111/gwat.12176","usgsCitation":"Toccalino, P., Gilliom, R.J., Lindsey, B., and Rupert, M.G., 2014, Pesticides in groundwater of the United States: decadal-scale changes, 1993-2011: Groundwater, v. 52, no. S1, p. 112-125, https://doi.org/10.1111/gwat.12176.","productDescription":"14 p.","startPage":"112","endPage":"125","ipdsId":"IP-051692","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":294569,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":294558,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1111/gwat.12176"}],"county":"United States","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ 173.0,16.916667 ], [ 173.0,71.833333 ], [ -66.95,71.833333 ], [ -66.95,16.916667 ], [ 173.0,16.916667 ] ] ] } } ] }","volume":"52","issue":"S1","noUsgsAuthors":false,"publicationDate":"2014-03-05","publicationStatus":"PW","scienceBaseUri":"54267209e4b0bb3382a4763b","chorus":{"doi":"10.1111/gwat.12176","url":"http://dx.doi.org/10.1111/gwat.12176","publisher":"Wiley-Blackwell","authors":"Toccalino Patricia L., Gilliom Robert J., Lindsey Bruce D., Rupert Michael G.","journalName":"Groundwater","publicationDate":"3/5/2014","auditedOn":"11/1/2014"},"contributors":{"authors":[{"text":"Toccalino, Patricia L. 0000-0003-1066-1702","orcid":"https://orcid.org/0000-0003-1066-1702","contributorId":41089,"corporation":false,"usgs":true,"family":"Toccalino","given":"Patricia L.","affiliations":[{"id":5079,"text":"Pacific Regional Director's Office","active":true,"usgs":true}],"preferred":true,"id":502293,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gilliom, Robert J. rgilliom@usgs.gov","contributorId":488,"corporation":false,"usgs":true,"family":"Gilliom","given":"Robert","email":"rgilliom@usgs.gov","middleInitial":"J.","affiliations":[{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true}],"preferred":true,"id":502291,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lindsey, Bruce D. 0000-0002-7180-4319 blindsey@usgs.gov","orcid":"https://orcid.org/0000-0002-7180-4319","contributorId":434,"corporation":false,"usgs":true,"family":"Lindsey","given":"Bruce D.","email":"blindsey@usgs.gov","affiliations":[{"id":532,"text":"Pennsylvania Water Science Center","active":true,"usgs":true}],"preferred":false,"id":502290,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Rupert, Michael G. mgrupert@usgs.gov","contributorId":1194,"corporation":false,"usgs":true,"family":"Rupert","given":"Michael","email":"mgrupert@usgs.gov","middleInitial":"G.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":502292,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70126423,"text":"sir20145130 - 2014 - Groundwater-quality characteristics for the Wyoming Groundwater-Quality Monitoring Network, November 2009 through September 2012","interactions":[],"lastModifiedDate":"2014-09-25T12:54:22","indexId":"sir20145130","displayToPublicDate":"2014-09-25T12:45:00","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2014-5130","title":"Groundwater-quality characteristics for the Wyoming Groundwater-Quality Monitoring Network, November 2009 through September 2012","docAbstract":"

Groundwater samples were collected from 146 shallow (less than or equal to 500 feet deep) wells for the Wyoming Groundwater-Quality Monitoring Network, from November 2009 through September 2012. Groundwater samples were analyzed for physical characteristics, major ions and dissolved solids, trace elements, nutrients and dissolved organic carbon, uranium, stable isotopes of hydrogen and oxygen, volatile organic compounds, and coliform bacteria. Selected samples also were analyzed for gross alpha radioactivity, gross beta radioactivity, radon, tritium, gasoline range organics, diesel range organics, dissolved hydrocarbon gases (methane, ethene, and ethane), and wastewater compounds.

\n
\n

Water-quality measurements and concentrations in some samples exceeded numerous U.S. Environmental Protection Agency (EPA) drinking water standards. Physical characteristics and constituents that exceeded EPA Maximum Contaminant Levels (MCLs) in some samples were arsenic, selenium, nitrite, nitrate, gross alpha activity, and uranium. Total coliforms and Escherichia coli in some samples exceeded EPA Maximum Contaminant Level Goals. Measurements of pH and turbidity and concentrations of chloride, sulfate, fluoride, dissolved solids, aluminum, iron, and manganese exceeded EPA Secondary Maximum Contaminant Levels in some samples. Radon concentrations in some samples exceeded the alternative MCL proposed by the EPA. Molybdenum and boron concentrations in some samples exceeded EPA Health Advisory Levels.

\n
\n

Water-quality measurements and concentrations also exceeded numerous Wyoming Department of Environmental Quality (WDEQ) groundwater standards. Physical characteristics and constituents that exceeded WDEQ Class I domestic groundwater standards in some samples were measurements of pH and concentrations of chloride, sulfate, dissolved solids, iron, manganese, boron, selenium, nitrite, and nitrate. Measurements of pH and concentrations of chloride, sulfate, dissolved solids, aluminum, iron, manganese, boron, and selenium exceeded WDEQ Class II agriculture groundwater standards in some samples. Measurements of pH and concentrations of sulfate, dissolved solids, aluminum, boron, and selenium exceeded WDEQ Class III livestock groundwater standards in some samples. The concentrations of dissolved solids in two samples exceeded the WDEQ Class IV industry groundwater standard. Measurements of pH and concentrations of dissolved solids, aluminum, iron, manganese, and selenium exceeded WDEQ Class special (A) fish and aquatic life groundwater standards in some samples.

\n
\n

Stable isotopes of hydrogen and oxygen measured in water samples were compared to the Global Meteoric Water Line and Local Meteoric Water Lines. Results indicated that recharge to all of the wells was derived from precipitation and that the water has undergone some fractionation, possibly because of evaporation.

\n
\n

Concentrations of organic compounds did not exceed any State or Federal water-quality standards. Few volatile organic compounds were detected in samples, whereas gasoline range organics, diesel range organics, and methane were detected most frequently.

\n
\n

Concentrations of wastewater compounds did not exceed any State or Federal water-quality standards. The compounds N,N-diethyl-meta-toluamide (DEET), benzophenone, and phenanthrene were detected most frequently.

\n
\n

Bacteria samples were collected, processed, incubated, and enumerated in the field or at the U.S. Geological Survey Wyoming-Montana Water Science Center. Total coliforms and Escherichia coli were detected in some samples.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20145130","collaboration":"Prepared in cooperation with the Wyoming Department of Environmental Quality","usgsCitation":"Boughton, G.K., 2014, Groundwater-quality characteristics for the Wyoming Groundwater-Quality Monitoring Network, November 2009 through September 2012: U.S. Geological Survey Scientific Investigations Report 2014-5130, Report: x, 77 p.; Appendix, https://doi.org/10.3133/sir20145130.","productDescription":"Report: x, 77 p.; Appendix","numberOfPages":"94","onlineOnly":"N","additionalOnlineFiles":"Y","temporalStart":"2009-11-01","temporalEnd":"2012-09-30","ipdsId":"IP-045757","costCenters":[{"id":685,"text":"Wyoming-Montana Water Science Center","active":false,"usgs":true}],"links":[{"id":294520,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20145130.jpg"},{"id":294517,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2014/5130/"},{"id":294518,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2014/5130/pdf/sir2014-5130.pdf"},{"id":294519,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2014/5130/downloads/"}],"projection":"Lambert Conformal Conic projection","datum":"North American Datum of 1983","country":"United States","state":"Wyoming","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -111.0569,40.9947 ], [ -111.0569,45.0059 ], [ -104.0522,45.0059 ], [ -104.0522,40.9947 ], [ -111.0569,40.9947 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5425208de4b0e641df8a6da5","contributors":{"authors":[{"text":"Boughton, Gregory K. 0000-0001-7355-4977 gkbought@usgs.gov","orcid":"https://orcid.org/0000-0001-7355-4977","contributorId":4254,"corporation":false,"usgs":true,"family":"Boughton","given":"Gregory","email":"gkbought@usgs.gov","middleInitial":"K.","affiliations":[{"id":5050,"text":"WY-MT Water Science Center","active":true,"usgs":true}],"preferred":true,"id":502038,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70120910,"text":"sir20145157 - 2014 - Estimated monthly streamflows for selected locations on the Kabul and Logar Rivers, Aynak copper, cobalt, and chromium area of interest, Afghanistan, 1951-2010","interactions":[],"lastModifiedDate":"2017-10-12T20:10:22","indexId":"sir20145157","displayToPublicDate":"2014-09-25T11:31:00","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2014-5157","title":"Estimated monthly streamflows for selected locations on the Kabul and Logar Rivers, Aynak copper, cobalt, and chromium area of interest, Afghanistan, 1951-2010","docAbstract":"The U.S. Geological Survey, in cooperation with the U.S. Department of Defense Task Force for Business and Stability Operations, used the stochastic monthly water-balance model and existing climate data to estimate monthly streamflows for 1951–2010 for selected streamgaging stations located within the Aynak copper, cobalt, and chromium area of interest in Afghanistan. The model used physically based, nondeterministic methods to estimate the monthly volumetric water-balance components of a watershed. A comparison of estimated and recorded monthly streamflows for the streamgaging stations Kabul River at Maidan and Kabul River at Tangi-Saidan indicated that the stochastic water-balance model was able to provide satisfactory estimates of monthly streamflows for high-flow months and low-flow months even though withdrawals for irrigation likely occurred. A comparison of estimated and recorded monthly streamflows for the streamgaging stations Logar River at Shekhabad and Logar River at Sangi-Naweshta also indicated that the stochastic water-balance model was able to provide reasonable estimates of monthly streamflows for the high-flow months; however, for the upstream streamgaging station, the model overestimated monthly streamflows during periods when summer irrigation withdrawals likely occurred. Results from the stochastic water-balance model indicate that the model should be able to produce satisfactory estimates of monthly streamflows for locations along the Kabul and Logar Rivers. This information could be used by Afghanistan authorities to make decisions about surface-water resources for the Aynak copper, cobalt, and chromium area of interest.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20145157","collaboration":"In cooperation with the U.S. Department of Defense Task Force for Business and Stability Operations","usgsCitation":"Vining, K.C., and Vecchia, A.V., 2014, Estimated monthly streamflows for selected locations on the Kabul and Logar Rivers, Aynak copper, cobalt, and chromium area of interest, Afghanistan, 1951-2010: U.S. Geological Survey Scientific Investigations Report 2014-5157, iv, 12 p., https://doi.org/10.3133/sir20145157.","productDescription":"iv, 12 p.","numberOfPages":"20","onlineOnly":"Y","ipdsId":"IP-053116","costCenters":[{"id":478,"text":"North Dakota Water Science Center","active":true,"usgs":true},{"id":34685,"text":"Dakota Water Science Center","active":true,"usgs":true}],"links":[{"id":294503,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20145157.jpg"},{"id":294502,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2014/5157/pdf/sir2014-5157.pdf"},{"id":294501,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2014/5157/"}],"projection":"Mercator Auxillary Sphere projection","country":"Afghanistan","otherGeospatial":"Kabul River;Logar River","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ 65.00,30.00 ], [ 65.00,35.00 ], [ 70.00,35.00 ], [ 70.00,30.00 ], [ 65.00,30.00 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"54252089e4b0e641df8a6d95","contributors":{"authors":[{"text":"Vining, Kevin C. 0000-0001-5738-3872 kcvining@usgs.gov","orcid":"https://orcid.org/0000-0001-5738-3872","contributorId":308,"corporation":false,"usgs":true,"family":"Vining","given":"Kevin","email":"kcvining@usgs.gov","middleInitial":"C.","affiliations":[{"id":478,"text":"North Dakota Water Science Center","active":true,"usgs":true}],"preferred":true,"id":498598,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Vecchia, Aldo V. 0000-0002-2661-4401","orcid":"https://orcid.org/0000-0002-2661-4401","contributorId":41810,"corporation":false,"usgs":true,"family":"Vecchia","given":"Aldo","email":"","middleInitial":"V.","affiliations":[],"preferred":false,"id":498599,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70122945,"text":"ofr20141183 - 2014 - User's manual for the upper Delaware River riverine environmental flow decision support system (REFDSS), Version 1.1.2","interactions":[],"lastModifiedDate":"2014-09-25T09:30:55","indexId":"ofr20141183","displayToPublicDate":"2014-09-25T09:22:00","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2014-1183","title":"User's manual for the upper Delaware River riverine environmental flow decision support system (REFDSS), Version 1.1.2","docAbstract":"

Between 2002 and 2006, the Fort Collins Science Center (FORT) at the U.S. Geological Survey (USGS) conducted field surveys, organized workshops, and performed analysis of habitat for trout and shad in the Upper Delaware River Basin. This work culminated in the development of decision support system software (the Delaware River DSS–DRDSS, Bovee and others, 2007) that works in conjunction with the Delaware River Basin Commission’s reservoir operations model, OASIS, to facilitate comparison of the habitat and water-delivery effects of alternative operating scenarios for the Basin. This original DRDSS application was developed in Microsoft Excel and is available to all interested parties through the FORT web site (http://www.fort.usgs.gov/Products/Software/DRDSS/).

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Initial user feedback on the original Excel-based DSS highlighted the need for a more user-friendly and powerful interface to effectively deliver the complex data and analyses encapsulated in the DSS. In order to meet this need, the USGS FORT and Northern Appalachian Research Branch (NARB) developed an entirely new graphical user interface (GUI) application. Support for this research was through the DOI WaterSmart program (http://www.doi.gov/watersmart/html/index.php) of which the USGS component is the National Water Census (http://water.usgs.gov/watercensus/WaterSMART.html). The content and methodology of the new GUI interface emulates those of the original DSS with a few exceptions listed below. Refer to Bovee and others (2007) for the original information. Significant alterations to the original DSS include:

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• We moved from Excel-based data storage and processing to a more powerful database back end powered by SQLite. The most notable effect of this is that the previous maximum temporal extent of 10 years has been replaced by a dynamic extent that can now cover the entire period of record for which we have data (1928–2000).

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• We incorporated interactive geographic information system (GIS) visualization and dynamic data processing. Previous habitat maps were generated outside of the DSS in an ad hoc process that the end user could not update or investigate.

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• The original bathymetric data collected in 2005 at the three main stem reaches was augmented with a higher resolution dataset collected in 2010. This new dataset was collected in order to conduct higher resolution (finer pixel size) two-dimensional (2D) hydrodynamic modeling for evaluating dwarf wedgemussel (DWM, Alasmidonta heterodon) habitat.

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• Results charts are now substantially more interactive, dynamic, and accessible, which allows users to more easily focus on their particular topics of interest as well as drill down to the source data used to calculate given results.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20141183","usgsCitation":"Talbert, C., Maloney, K.O., Holmquist-Johnson, C., and Hanson, L., 2014, User's manual for the upper Delaware River riverine environmental flow decision support system (REFDSS), Version 1.1.2: U.S. Geological Survey Open-File Report 2014-1183, iv, 23 p., https://doi.org/10.3133/ofr20141183.","productDescription":"iv, 23 p.","numberOfPages":"27","onlineOnly":"Y","ipdsId":"IP-052908","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":294459,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20141183.jpg"},{"id":294458,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2014/1183/pdf/ofr2014-1183.pdf"},{"id":294457,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2014/1183/"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"54252090e4b0e641df8a6dd3","contributors":{"authors":[{"text":"Talbert, Colin talbertc@usgs.gov","contributorId":4668,"corporation":false,"usgs":true,"family":"Talbert","given":"Colin","email":"talbertc@usgs.gov","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":false,"id":499778,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Maloney, Kelly O. 0000-0003-2304-0745 kmaloney@usgs.gov","orcid":"https://orcid.org/0000-0003-2304-0745","contributorId":4636,"corporation":false,"usgs":true,"family":"Maloney","given":"Kelly","email":"kmaloney@usgs.gov","middleInitial":"O.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":499777,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Holmquist-Johnson, Chris","contributorId":27803,"corporation":false,"usgs":true,"family":"Holmquist-Johnson","given":"Chris","email":"","affiliations":[],"preferred":false,"id":499779,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hanson, Leanne hansonl@usgs.gov","contributorId":3231,"corporation":false,"usgs":true,"family":"Hanson","given":"Leanne","email":"hansonl@usgs.gov","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":499776,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70126002,"text":"ds870 - 2014 - Watershed Data Management (WDM) database for Salt Creek streamflow simulation, DuPage County, Illinois, water years 2005-11","interactions":[],"lastModifiedDate":"2014-09-25T09:16:43","indexId":"ds870","displayToPublicDate":"2014-09-25T09:13:00","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":310,"text":"Data Series","code":"DS","onlineIssn":"2327-638X","printIssn":"2327-0271","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"870","title":"Watershed Data Management (WDM) database for Salt Creek streamflow simulation, DuPage County, Illinois, water years 2005-11","docAbstract":"

The U.S. Geological Survey (USGS), in cooperation with DuPage County Stormwater Management Division, maintains a USGS database of hourly meteorologic and hydrologic data for use in a near real-time streamflow simulation system, which assists in the management and operation of reservoirs and other flood-control structures in the Salt Creek watershed in DuPage County, Illinois. Most of the precipitation data are collected from a tipping-bucket rain-gage network located in and near DuPage County. The other meteorologic data (wind speed, solar radiation, air temperature, and dewpoint temperature) are collected at Argonne National Laboratory in Argonne, Ill. Potential evapotranspiration is computed from the meteorologic data. The hydrologic data (discharge and stage) are collected at USGS streamflow-gaging stations in DuPage County. These data are stored in a Watershed Data Management (WDM) database. An earlier report describes in detail the WDM database development including the processing of data from January 1, 1997, through September 30, 2004, in SEP04.WDM database. SEP04.WDM is updated with the appended data from October 1, 2004, through September 30, 2011, water years 2005–11 and renamed as SEP11.WDM. This report details the processing of meteorologic and hydrologic data in SEP11.WDM.

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This report provides a record of snow affected periods and the data used to fill missing-record periods for each precipitation site during water years 2005–11. The meteorologic data filling methods are described in detail in Over and others (2010), and an update is provided in this report.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds870","collaboration":"Prepared in cooperation with the DuPage County Stormwater Management Division","usgsCitation":"Bera, M., 2014, Watershed Data Management (WDM) database for Salt Creek streamflow simulation, DuPage County, Illinois, water years 2005-11: U.S. Geological Survey Data Series 870, iv, 18 p., https://doi.org/10.3133/ds870.","productDescription":"iv, 18 p.","numberOfPages":"26","onlineOnly":"Y","ipdsId":"IP-051634","costCenters":[{"id":344,"text":"Illinois Water Science Center","active":true,"usgs":true}],"links":[{"id":294451,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ds870.jpg"},{"id":294449,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/0870/"},{"id":294450,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/ds/0870/pdf/ds870.pdf"}],"scale":"100000","projection":"Albers Equal-Area Conic projection","country":"United States","state":"Illinois","county":"Dupage County","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -88.25,41.758333 ], [ -88.25,42.126389 ], [ -87.875,42.126389 ], [ -87.875,41.758333 ], [ -88.25,41.758333 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"54252090e4b0e641df8a6de3","contributors":{"authors":[{"text":"Bera, Maitreyee 0000-0002-3968-1961 mbera@usgs.gov","orcid":"https://orcid.org/0000-0002-3968-1961","contributorId":5450,"corporation":false,"usgs":true,"family":"Bera","given":"Maitreyee","email":"mbera@usgs.gov","affiliations":[{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true},{"id":344,"text":"Illinois Water Science Center","active":true,"usgs":true}],"preferred":true,"id":501863,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ]}