{"pageNumber":"482","pageRowStart":"12025","pageSize":"25","recordCount":68892,"records":[{"id":70189475,"text":"70189475 - 2015 - Rates of As and trace-element mobilization caused by Fe reduction in mixed BTEX–ethanol experimental plumes","interactions":[],"lastModifiedDate":"2018-08-09T12:35:41","indexId":"70189475","displayToPublicDate":"2015-10-01T00:00:00","publicationYear":"2015","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":"Rates of As and trace-element mobilization caused by Fe reduction in mixed BTEX–ethanol experimental plumes","docAbstract":"

Biodegradation of organic matter, including petroleum-based fuels and biofuels, can create undesired secondary water-quality effects. Trace elements, especially arsenic (As), have strong adsorption affinities for Fe(III) (oxyhydr)-oxides and can be released to groundwater during Fe-reducing biodegradation. We investigated the mobilization of naturally occurring As, cobalt (Co), chromium (Cr), and nickel (Ni) from wetland sediments caused by the introduction of benzene, toluene, ethylbenzene, and xylenes (BTEX) and ethanol mixtures under iron- and nitrate-reducing conditions, using in situ push–pull tests. When BTEX alone was added, results showed simultaneous onset and similar rates of Fe reduction and As mobilization. In the presence of ethanol, the maximum rates of As release and Fe reduction were higher, the time to onset of reaction was decreased, and the rates occurred in multiple stages that reflected additional processes. The concentration of As increased from <1 μg/L to a maximum of 99 μg/L, exceeding the 10 μg/L limit for drinking water. Mobilization of Co, Cr, and Ni was observed in association with ethanol biodegradation but not with BTEX. These results demonstrate the potential for trace-element contamination of drinking water during biodegradation and highlight the importance of monitoring trace elements at natural and enhanced attenuation sites.

","language":"English","publisher":"ACS","doi":"10.1021/acs.est.5b02341","usgsCitation":"Ziegler, B.A., McGuire, J.T., and Cozzarelli, I.M., 2015, Rates of As and trace-element mobilization caused by Fe reduction in mixed BTEX–ethanol experimental plumes: Environmental Science & Technology, v. 49, no. 22, p. 13179-13189, https://doi.org/10.1021/acs.est.5b02341.","productDescription":"11 p.","startPage":"13179","endPage":"13189","ipdsId":"IP-068334","costCenters":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":343810,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"49","issue":"22","noUsgsAuthors":false,"publicationDate":"2015-11-05","publicationStatus":"PW","scienceBaseUri":"596886a2e4b0d1f9f05f59bd","contributors":{"authors":[{"text":"Ziegler, Brady A.","contributorId":138960,"corporation":false,"usgs":false,"family":"Ziegler","given":"Brady","email":"","middleInitial":"A.","affiliations":[{"id":12594,"text":"Department of Geosciences, Virginia Tech, Blacksburg, VA","active":true,"usgs":false}],"preferred":false,"id":704863,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McGuire, Jennifer T.","contributorId":42155,"corporation":false,"usgs":true,"family":"McGuire","given":"Jennifer","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":704864,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cozzarelli, Isabelle M. 0000-0002-5123-1007 icozzare@usgs.gov","orcid":"https://orcid.org/0000-0002-5123-1007","contributorId":1693,"corporation":false,"usgs":true,"family":"Cozzarelli","given":"Isabelle","email":"icozzare@usgs.gov","middleInitial":"M.","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true},{"id":49175,"text":"Geology, Energy & Minerals Science Center","active":true,"usgs":true}],"preferred":true,"id":704865,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70159412,"text":"70159412 - 2015 - Riders on the storm: selective tidal movements facilitate the spawning migration of threatened delta smelt in the San Francisco Estuary","interactions":[],"lastModifiedDate":"2015-10-27T14:06:34","indexId":"70159412","displayToPublicDate":"2015-10-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1584,"text":"Estuaries and Coasts","active":true,"publicationSubtype":{"id":10}},"title":"Riders on the storm: selective tidal movements facilitate the spawning migration of threatened delta smelt in the San Francisco Estuary","docAbstract":"

Migration strategies in estuarine fishes typically include behavioral adaptations for reducing energetic costs and mortality during travel to optimize reproductive success. The influence of tidal currents and water turbidity on individual movement behavior were investigated during the spawning migration of the threatened delta smelt, Hypomesus transpacificus, in the northern San Francisco Estuary, California, USA. Water current velocities and turbidity levels were measured concurrently with delta smelt occurrence at sites in the lower Sacramento River and San Joaquin River as turbidity increased due to first-flush winter rainstorms in January and December 2010. The presence/absence of fish at the shoal-channel interface and near the shoreline was quantified hourly over complete tidal cycles. Delta smelt were caught consistently at the shoal-channel interface during flood tides and near the shoreline during ebb tides in the turbid Sacramento River, but were rare in the clearer San Joaquin River. The apparent selective tidal movements by delta smelt would facilitate either maintaining position or moving upriver on flood tides, and minimizing advection down-estuary on ebb tides. These movements also may reflect responses to lateral gradients in water turbidity created by temporal lags in tidal velocities between the near-shore and mid-channel habitats. This migration strategy can minimize the energy spent swimming against strong river and tidal currents, as well as predation risks by remaining in turbid water. Selection pressure on individuals to remain in turbid water may underlie population-level observations suggesting that turbidity is a key habitat feature and cue initiating the delta smelt spawning migration.

","language":"English","publisher":"Springer","doi":"10.1007/s12237-014-9877-3","usgsCitation":"Bennett, W., and Burau, J.R., 2015, Riders on the storm: selective tidal movements facilitate the spawning migration of threatened delta smelt in the San Francisco Estuary: Estuaries and Coasts, v. 38, no. 3, p. 826-835, https://doi.org/10.1007/s12237-014-9877-3.","productDescription":"10 p.","startPage":"826","endPage":"835","onlineOnly":"N","additionalOnlineFiles":"N","temporalStart":"2010-01-27","temporalEnd":"2011-01-01","ipdsId":"IP-036419","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":471748,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s12237-014-9877-3","text":"Publisher Index Page"},{"id":310683,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"San Francisco Estuary","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -121.76216125488281,\n 38.02808135979607\n ],\n [\n -121.76216125488281,\n 38.1399572748485\n ],\n [\n -121.64474487304686,\n 38.1399572748485\n ],\n [\n -121.64474487304686,\n 38.02808135979607\n ],\n [\n -121.76216125488281,\n 38.02808135979607\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"38","issue":"3","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationDate":"2014-09-23","publicationStatus":"PW","scienceBaseUri":"5630a042e4b093cee7820420","contributors":{"authors":[{"text":"Bennett, W.A.","contributorId":100572,"corporation":false,"usgs":true,"family":"Bennett","given":"W.A.","email":"","affiliations":[],"preferred":false,"id":578465,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Burau, Jon R. 0000-0002-5196-5035 jrburau@usgs.gov","orcid":"https://orcid.org/0000-0002-5196-5035","contributorId":1500,"corporation":false,"usgs":true,"family":"Burau","given":"Jon","email":"jrburau@usgs.gov","middleInitial":"R.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":578464,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70170275,"text":"70170275 - 2015 - Spatial occupancy models for predicting metapopulation dynamics and viability following reintroduction","interactions":[],"lastModifiedDate":"2016-04-21T12:47:48","indexId":"70170275","displayToPublicDate":"2015-10-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2163,"text":"Journal of Applied Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Spatial occupancy models for predicting metapopulation dynamics and viability following reintroduction","docAbstract":"
    \n
  1. The reintroduction of a species into its historic range is a critical component of conservation programmes designed to restore extirpated metapopulations. However, many reintroduction efforts fail, and the lack of rigorous monitoring programmes and statistical models have prevented a general understanding of the factors affecting metapopulation viability following reintroduction.
    2. \n
  2. Spatially explicit metapopulation theory provides the basis for understanding the dynamics of fragmented populations linked by dispersal, but the theory has rarely been used to guide reintroduction programmes because most spatial metapopulation models require presence–absence data from every site in the network, and they do not allow for observation error such as imperfect detection.
    3. \n
  3. We develop a spatial occupancy model that relaxes these restrictive assumptions and allows for inference about metapopulation extinction risk and connectivity. We demonstrate the utility of the model using six years of data on the Chiricahua leopard frogLithobates chiricahuensis, a threatened desert-breeding amphibian that was reintroduced to a network of sites in Arizona USA in 2003.
    4. \n
  4. Our results indicate that the model can generate precise predictions of extinction risk and produce connectivity maps that can guide conservation efforts following reintroduction. In the case of L. chiricahuensis, many sites were functionally isolated, and 82% of sites were characterized by intermittent water availability and high local extinction probabilities (0·84, 95% CI: 0·64–0·99). However, under the current hydrological conditions and spatial arrangement of sites, the risk of metapopulation extinction is estimated to be <3% over a 50-year time horizon.
    5. \n
  5. Low metapopulation extinction risk appears to result from the high dispersal capability of the species, the high density of sites in the region and the existence of predator-free permanent wetlands with low local extinction probabilities. Should management be required, extinction risk can be reduced by either increasing the hydroperiod of existing sites or by creating new sites to increase connectivity.
    6. \n
  6. Synthesis and applications. This work demonstrates how spatio-temporal statistical models based on ecological theory can be applied to forecast the outcomes of conservation actions such as reintroduction. Our spatial occupancy model should be particularly useful when management agencies lack the funds to collect intensive individual-level data.
    7. \n
","language":"English","publisher":"Elsevier","doi":"10.1111/1365-2664.12481","usgsCitation":"Chandler, R.B., Muths, E.L., Sigafus, B.H., Schwalbe, C.R., Jarchow, C.J., and Hossack, B.R., 2015, Spatial occupancy models for predicting metapopulation dynamics and viability following reintroduction: Journal of Applied Ecology, v. 52, no. 5, p. 1325-1333, https://doi.org/10.1111/1365-2664.12481.","productDescription":"9 p.","startPage":"1325","endPage":"1333","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-055286","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":471743,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/1365-2664.12481","text":"Publisher Index Page"},{"id":320369,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Mexico, United States","state":"Arizona, New Mexico","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -113.0712890625,\n 30.93992433102347\n ],\n [\n -113.0712890625,\n 32.694865977875075\n ],\n [\n -109.27001953125,\n 32.694865977875075\n ],\n [\n -109.27001953125,\n 30.93992433102347\n ],\n [\n -113.0712890625,\n 30.93992433102347\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"52","issue":"5","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2015-07-22","publicationStatus":"PW","scienceBaseUri":"5719f9c2e4b071321fe22bee","chorus":{"doi":"10.1111/1365-2664.12481","url":"http://dx.doi.org/10.1111/1365-2664.12481","publisher":"Wiley-Blackwell","authors":"Chandler Richard B., Muths Erin, Sigafus Brent H., Schwalbe Cecil R., Jarchow Christopher J., Hossack Blake R.","journalName":"Journal of Applied Ecology","publicationDate":"7/22/2015","auditedOn":"7/24/2015"},"contributors":{"authors":[{"text":"Chandler, Richard B. rchandler@usgs.gov","contributorId":63524,"corporation":false,"usgs":true,"family":"Chandler","given":"Richard","email":"rchandler@usgs.gov","middleInitial":"B.","affiliations":[],"preferred":false,"id":626731,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Muths, Erin L. 0000-0002-5498-3132 muthse@usgs.gov","orcid":"https://orcid.org/0000-0002-5498-3132","contributorId":1260,"corporation":false,"usgs":true,"family":"Muths","given":"Erin","email":"muthse@usgs.gov","middleInitial":"L.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":626730,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sigafus, Brent H. 0000-0002-7422-8927 bsigafus@usgs.gov","orcid":"https://orcid.org/0000-0002-7422-8927","contributorId":4534,"corporation":false,"usgs":true,"family":"Sigafus","given":"Brent","email":"bsigafus@usgs.gov","middleInitial":"H.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":626733,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Schwalbe, Cecil R. cschwalbe@usgs.gov","contributorId":3077,"corporation":false,"usgs":true,"family":"Schwalbe","given":"Cecil","email":"cschwalbe@usgs.gov","middleInitial":"R.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":626734,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Jarchow, Christopher J. 0000-0002-0424-4104 cjarchow@usgs.gov","orcid":"https://orcid.org/0000-0002-0424-4104","contributorId":5813,"corporation":false,"usgs":true,"family":"Jarchow","given":"Christopher","email":"cjarchow@usgs.gov","middleInitial":"J.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":false,"id":627310,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hossack, Blake R. 0000-0001-7456-9564 blake_hossack@usgs.gov","orcid":"https://orcid.org/0000-0001-7456-9564","contributorId":1177,"corporation":false,"usgs":true,"family":"Hossack","given":"Blake","email":"blake_hossack@usgs.gov","middleInitial":"R.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true},{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":626732,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70175926,"text":"70175926 - 2015 - Effects of climate and land cover on hydrology in the southeastern U.S.: Potential impacts on watershed planning","interactions":[],"lastModifiedDate":"2016-12-02T08:36:40","indexId":"70175926","displayToPublicDate":"2015-10-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2529,"text":"Journal of the American Water Resources Association","active":true,"publicationSubtype":{"id":10}},"title":"Effects of climate and land cover on hydrology in the southeastern U.S.: Potential impacts on watershed planning","docAbstract":"

The hydrologic response to statistically downscaled general circulation model simulations of daily surface climate and land cover through 2099 was assessed for the Apalachicola-Chattahoochee-Flint River Basin located in the southeastern United States. Projections of climate, urbanization, vegetation, and surface-depression storage capacity were used as inputs to the Precipitation-Runoff Modeling System to simulate projected impacts on hydrologic response. Surface runoff substantially increased when land cover change was applied. However, once the surface depression storage was added to mitigate the land cover change and increases of surface runoff (due to urbanization), the groundwater flow component then increased. For hydrologic studies that include projections of land cover change (urbanization in particular), any analysis of runoff beyond the change in total runoff should include effects of stormwater management practices as these features affect flow timing and magnitude and may be useful in mitigating land cover change impacts on streamflow. Potential changes in water availability and how biota may respond to changes in flow regime in response to climate and land cover change may prove challenging for managers attempting to balance the needs of future development and the environment. However, these models are still useful for assessing the relative impacts of climate and land cover change and for evaluating tradeoffs when managing to mitigate different stressors.

","language":"English","publisher":"American Water Resources Association","doi":"10.1111/1752-1688.12304","usgsCitation":"LaFontaine, J.H., Hay, L.E., Viger, R.J., Regan, R.S., and Markstrom, S.L., 2015, Effects of climate and land cover on hydrology in the southeastern U.S.: Potential impacts on watershed planning: Journal of the American Water Resources Association, v. 51, no. 5, p. 1235-1261, https://doi.org/10.1111/1752-1688.12304.","productDescription":"27 p.","startPage":"1235","endPage":"1261","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-037448","costCenters":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"links":[{"id":327170,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alabama, Florida, Georgia","otherGeospatial":"Apalachicola-Chattahoochee-Flint River Basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -84.869384765625,\n 29.878755346037977\n ],\n [\n -84.9847412109375,\n 29.673735421779128\n ],\n [\n -85.2044677734375,\n 29.73099249532227\n ],\n [\n -85.4241943359375,\n 30.012030680358613\n ],\n [\n -85.49011230468749,\n 30.552800413453546\n ],\n [\n -85.49560546875,\n 32.16166284018013\n ],\n [\n -85.27587890625,\n 33.5963189611327\n ],\n [\n -84.72656249999999,\n 34.17090836352573\n ],\n [\n -83.924560546875,\n 34.6241677899049\n ],\n [\n -83.64990234375,\n 34.89494244739732\n ],\n [\n -83.34228515625,\n 34.56990638085636\n ],\n [\n -83.583984375,\n 33.8521697014074\n ],\n [\n -84.375,\n 33.22030778968541\n ],\n [\n -83.73779296875,\n 31.96148355726853\n ],\n [\n -84.05639648437499,\n 30.911651004518244\n ],\n [\n -84.5068359375,\n 30.64736425824319\n ],\n [\n -84.869384765625,\n 29.878755346037977\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"51","issue":"5","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationDate":"2015-04-18","publicationStatus":"PW","scienceBaseUri":"57bc225fe4b03fd6b7de1790","contributors":{"authors":[{"text":"LaFontaine, Jacob H. 0000-0003-4923-2630 jlafonta@usgs.gov","orcid":"https://orcid.org/0000-0003-4923-2630","contributorId":2258,"corporation":false,"usgs":true,"family":"LaFontaine","given":"Jacob","email":"jlafonta@usgs.gov","middleInitial":"H.","affiliations":[{"id":316,"text":"Georgia Water Science Center","active":true,"usgs":true},{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"preferred":true,"id":646561,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hay, Lauren E. 0000-0003-3763-4595 lhay@usgs.gov","orcid":"https://orcid.org/0000-0003-3763-4595","contributorId":1287,"corporation":false,"usgs":true,"family":"Hay","given":"Lauren","email":"lhay@usgs.gov","middleInitial":"E.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":646562,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Viger, Roland J. 0000-0003-2520-714X rviger@usgs.gov","orcid":"https://orcid.org/0000-0003-2520-714X","contributorId":168799,"corporation":false,"usgs":true,"family":"Viger","given":"Roland","email":"rviger@usgs.gov","middleInitial":"J.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"preferred":true,"id":646563,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Regan, R. Steve 0000-0003-4803-8596 rsregan@usgs.gov","orcid":"https://orcid.org/0000-0003-4803-8596","contributorId":2633,"corporation":false,"usgs":true,"family":"Regan","given":"R.","email":"rsregan@usgs.gov","middleInitial":"Steve","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":false,"id":646564,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Markstrom, Steven L. 0000-0001-7630-9547 markstro@usgs.gov","orcid":"https://orcid.org/0000-0001-7630-9547","contributorId":146553,"corporation":false,"usgs":true,"family":"Markstrom","given":"Steven","email":"markstro@usgs.gov","middleInitial":"L.","affiliations":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":646565,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70187281,"text":"70187281 - 2015 - Environmental predictors of shrubby cinquefoil (Dasiphora fruticosa) habitat and quality as host for Maine’s endangered Clayton’s copper butterfly (Lycaena dorcas claytoni)","interactions":[],"lastModifiedDate":"2017-04-28T10:41:45","indexId":"70187281","displayToPublicDate":"2015-10-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3751,"text":"Wetlands Ecology and Management","active":true,"publicationSubtype":{"id":10}},"title":"Environmental predictors of shrubby cinquefoil (Dasiphora fruticosa) habitat and quality as host for Maine’s endangered Clayton’s copper butterfly (Lycaena dorcas claytoni)","docAbstract":"

Population size of habitat-specialized butterflies is limited in part by host plant distribution and abundance. Effective conservation for host-specialist species requires knowledge of host-plant habitat conditions and relationships with the specialist species. Clayton’s copper butterfly (Lycaena dorcas claytoni) is a Maine state-endangered species that relies exclusively on shrubby cinquefoil (Dasiphora fruticosa) as its host. Dasiphora fruticosa occurs in 28 wetlands in Maine, ten of which are occupied by L. d. claytoni. Little is known about environmental conditions that support large, persistent stands of D. fruticosa in Maine. We evaluated the environment (hydrology, pore water and peat nutrients) associated with D. fruticosa distribution, age, and condition in Maine wetlands supporting robust stands of D. fruticosa to compare with L. d. claytoni occurrence. Although dominant water source in D. fruticosa—containing wetlands included both groundwater discharge and surface-flow, D. fruticosa coverage was greater in wetlands with consistent growing season water levels that dropped into or below the root zone by late season, and its distributions within wetlands reflected pore water hydrogen ion and conductivity gradients. Flooding magnitude and duration were greatest during the L.d. claytoni larval feeding period, whereas, mean depth to water table and upwelling increased and were most variable following the L. d. claytoni egg-laying period that precedes D. fruticosa senescence. Oldest sampled shrubs were 37 years, and older shrubs were larger and slower-growing. Encounter rates of L. d. claytoni were greater in wetlands with larger D. fruticosa plants of intermediate age and greater bloom density. Wetland management that combines conditions associated with D. fruticosa abundance (e.g., non-forested, seasonally consistent water levels with high conductivity) and L. d. claytoni occurrence (e.g., drawdown below the root zone following egg-laying, abundant blooms on intermediate-aged D. fruticosa, nearby D. fruticosa-containing wetlands) will aid L. d. claytoni conservation.

","language":"English","publisher":"Springer","doi":"10.1007/s11273-015-9427-1","usgsCitation":"Drahovzal, S.A., Loftin, C., and Rhymer, J., 2015, Environmental predictors of shrubby cinquefoil (Dasiphora fruticosa) habitat and quality as host for Maine’s endangered Clayton’s copper butterfly (Lycaena dorcas claytoni): Wetlands Ecology and Management, v. 23, no. 5, p. 891-908, https://doi.org/10.1007/s11273-015-9427-1.","productDescription":"18 p.","startPage":"891","endPage":"908","ipdsId":"IP-055556","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":340597,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"23","issue":"5","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2015-07-26","publicationStatus":"PW","scienceBaseUri":"590454a6e4b022cee40dc24a","contributors":{"authors":[{"text":"Drahovzal, Sarah A.","contributorId":191555,"corporation":false,"usgs":false,"family":"Drahovzal","given":"Sarah","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":693441,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Loftin, Cynthia S. 0000-0001-9104-3724 cyndy_loftin@usgs.gov","orcid":"https://orcid.org/0000-0001-9104-3724","contributorId":2167,"corporation":false,"usgs":true,"family":"Loftin","given":"Cynthia S.","email":"cyndy_loftin@usgs.gov","affiliations":[],"preferred":true,"id":693212,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rhymer, Judith","contributorId":63507,"corporation":false,"usgs":true,"family":"Rhymer","given":"Judith","email":"","affiliations":[],"preferred":false,"id":693442,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70180992,"text":"70180992 - 2015 - Impact of wastewater infrastructure upgrades on the urban water cycle: Reduction in halogenated reaction byproducts following conversion from chlorine gas to ultraviolet light disinfection","interactions":[],"lastModifiedDate":"2018-09-12T16:57:07","indexId":"70180992","displayToPublicDate":"2015-10-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3352,"text":"Science of the Total Environment","active":true,"publicationSubtype":{"id":10}},"title":"Impact of wastewater infrastructure upgrades on the urban water cycle: Reduction in halogenated reaction byproducts following conversion from chlorine gas to ultraviolet light disinfection","docAbstract":"

The municipal wastewater treatment facility (WWTF) infrastructure of the United States is being upgraded to expand capacity and improve treatment, which provides opportunities to assess the impact of full-scale operational changes on water quality. Many WWTFs disinfect their effluent prior to discharge using chlorine gas, which reacts with natural and synthetic organic matter to form halogenated disinfection byproducts (HDBPs). Because HDBPs are ubiquitous in chlorine-disinfected drinking water and have adverse human health implications, their concentrations are regulated in potable water supplies. Less is known about the formation and occurrence of HDBPs in disinfected WWTF effluents that are discharged to surface waters and become part of the de facto wastewater reuse cycle. This study investigated HDBPs in the urban water cycle from the stream source of the chlorinated municipal tap water that comprises the WWTF inflow, to the final WWTF effluent disinfection process before discharge back to the stream. The impact of conversion from chlorine-gas to low-pressure ultraviolet light (UV) disinfection at a full-scale (68,000 m3 d−1 design flow) WWTF on HDBP concentrations in the final effluent was assessed, as was transport and attenuation in the receiving stream. Nutrients and trace elements (boron, copper, and uranium) were used to characterize the different urban source waters, and indicated that the pre-upgrade and post-upgrade water chemistry was similar and insensitive to the disinfection process. Chlorinated tap water during the pre-upgrade and post-upgrade samplings contained 11 (mean total concentration = 2.7 μg L−1; n=5) and 10 HDBPs (mean total concentration = 4.5 μg L−1), respectively. Under chlorine-gas disinfection conditions 13 HDBPs (mean total concentration = 1.4 μg L−1) were detected in the WWTF effluent, whereas under UV disinfection conditions, only one HDBP was detected. The chlorinated WWTF effluent had greater relative proportions of nitrogenous, brominated, and iodinated HDBPs than the chlorinated tap water. Conversion of the WWTF to UV disinfection reduced the loading of HDBPs to the receiving stream by >90%.

","language":"English","publisher":"Elsevier B.V.","doi":"10.1016/j.scitotenv.2015.04.112","usgsCitation":"Barber, L.B., Hladik, M., Vajda, A.M., Fitzgerald, K.C., and Douville, C., 2015, Impact of wastewater infrastructure upgrades on the urban water cycle: Reduction in halogenated reaction byproducts following conversion from chlorine gas to ultraviolet light disinfection: Science of the Total Environment, v. 529, p. 264-274, https://doi.org/10.1016/j.scitotenv.2015.04.112.","productDescription":"11 p.","startPage":"264","endPage":"274","ipdsId":"IP-065421","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"links":[{"id":335186,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"529","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58a00056e4b099f50d3e0467","contributors":{"authors":[{"text":"Barber, Larry B. 0000-0002-0561-0831 lbbarber@usgs.gov","orcid":"https://orcid.org/0000-0002-0561-0831","contributorId":921,"corporation":false,"usgs":true,"family":"Barber","given":"Larry","email":"lbbarber@usgs.gov","middleInitial":"B.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":663082,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hladik, Michelle 0000-0002-0891-2712 mhladik@usgs.gov","orcid":"https://orcid.org/0000-0002-0891-2712","contributorId":784,"corporation":false,"usgs":true,"family":"Hladik","given":"Michelle","email":"mhladik@usgs.gov","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":false,"id":663083,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Vajda, Alan M.","contributorId":179189,"corporation":false,"usgs":false,"family":"Vajda","given":"Alan","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":663084,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Fitzgerald, Kevin C. kcfitzgerald@usgs.gov","contributorId":5534,"corporation":false,"usgs":true,"family":"Fitzgerald","given":"Kevin","email":"kcfitzgerald@usgs.gov","middleInitial":"C.","affiliations":[{"id":145,"text":"Branch of Regional Research-Central Region","active":false,"usgs":true}],"preferred":true,"id":663085,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Douville, Chris","contributorId":179191,"corporation":false,"usgs":false,"family":"Douville","given":"Chris","email":"","affiliations":[],"preferred":false,"id":663086,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70159006,"text":"70159006 - 2015 - Suburban watershed nitrogen retention: Estimating the effectiveness of stormwater management structures","interactions":[],"lastModifiedDate":"2015-10-13T12:26:01","indexId":"70159006","displayToPublicDate":"2015-10-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3888,"text":"Elementa: Science of the Anthropocene","active":true,"publicationSubtype":{"id":10}},"title":"Suburban watershed nitrogen retention: Estimating the effectiveness of stormwater management structures","docAbstract":"

Excess nitrogen (N) is a primary driver of freshwater and coastal eutrophication globally, and urban stormwater is a rapidly growing source of N pollution. Stormwater best management practices (BMPs) are used widely to remove excess N from runoff in urban and suburban areas, and are expected to perform under a wide variety of environmental conditions. Yet the capacity of BMPs to retain excess N varies; and both the variation and the drivers thereof are largely unknown, hindering the ability of water resource managers to meet water quality targets in a cost-effective way. Here, we use structured expert judgment (SEJ), a performance-weighted method of expert elicitation, to quantify the uncertainty in BMP performance under a range of site-specific environmental conditions and to estimate the extent to which key environmental factors influence variation in BMP performance. We hypothesized that rain event frequency and magnitude, BMP type and size, and physiographic province would significantly influence the experts’ estimates of N retention by BMPs common to suburban Piedmont and Coastal Plain watersheds of the Chesapeake Bay region.

\n

Expert knowledge indicated wide uncertainty in BMP performance, with N removal efficiencies ranging from <0% (BMP acting as a source of N during a rain event) to >40%. Experts believed that the amount of rain was the primary identifiable source of variability in BMP efficiency, which is relevant given climate projections of more frequent heavy rain events in the mid-Atlantic. To assess the extent to which those projected changes might alter N export from suburban BMPs and watersheds, we combined downscaled estimates of rainfall with distributions of N loads for different-sized rain events derived from our elicitation. The model predicted higher and more variable N loads under a projected future climate regime, suggesting that current BMP regulations for reducing nutrients may be inadequate in the future.

","language":"English","doi":"10.12952/journal.elementa.000063","usgsCitation":"Koch, B.J., Febria, C.M., Cooke, R.M., Hosen, J.D., Baker, M.E., Colson, A.R., Filoso, S., Hayhoe, K., Loperfido, J., Stoner, A.M., and Palmer, M.A., 2015, Suburban watershed nitrogen retention: Estimating the effectiveness of stormwater management structures: Elementa: Science of the Anthropocene, 18 P., https://doi.org/10.12952/journal.elementa.000063.","productDescription":"18 P.","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-064020","costCenters":[{"id":242,"text":"Eastern Geographic Science Center","active":true,"usgs":true}],"links":[{"id":471746,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.12952/journal.elementa.000063","text":"Publisher Index Page"},{"id":309839,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Maryland","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -77.46734619140625,\n 38.86323626888358\n ],\n [\n -77.46734619140625,\n 39.342794408952386\n ],\n [\n -76.409912109375,\n 39.342794408952386\n ],\n [\n -76.409912109375,\n 38.86323626888358\n ],\n [\n -77.46734619140625,\n 38.86323626888358\n ]\n ]\n ]\n }\n }\n ]\n}","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2015-07-30","publicationStatus":"PW","scienceBaseUri":"561e2b3ae4b0cdb063e59cf5","contributors":{"authors":[{"text":"Koch, Benjamin J.","contributorId":149185,"corporation":false,"usgs":false,"family":"Koch","given":"Benjamin","email":"","middleInitial":"J.","affiliations":[{"id":17663,"text":"Chesapeake Biological Laboratory, University of Maryland Center for Environmental Science, Solomons, Maryland, United States","active":true,"usgs":false}],"preferred":false,"id":577245,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Febria, Catherine M.","contributorId":149186,"corporation":false,"usgs":false,"family":"Febria","given":"Catherine","email":"","middleInitial":"M.","affiliations":[{"id":17663,"text":"Chesapeake Biological Laboratory, University of Maryland Center for Environmental Science, Solomons, Maryland, United States","active":true,"usgs":false}],"preferred":false,"id":577246,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cooke, Roger M.","contributorId":149187,"corporation":false,"usgs":false,"family":"Cooke","given":"Roger","email":"","middleInitial":"M.","affiliations":[{"id":17664,"text":"Resources for the Future, Washington, D.C., U.S.","active":true,"usgs":false}],"preferred":false,"id":577247,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hosen, Jacob D.","contributorId":149188,"corporation":false,"usgs":false,"family":"Hosen","given":"Jacob","email":"","middleInitial":"D.","affiliations":[{"id":17663,"text":"Chesapeake Biological Laboratory, University of Maryland Center for Environmental Science, Solomons, Maryland, United States","active":true,"usgs":false}],"preferred":false,"id":577248,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Baker, Matthew E.","contributorId":149189,"corporation":false,"usgs":false,"family":"Baker","given":"Matthew","email":"","middleInitial":"E.","affiliations":[{"id":17665,"text":"Department of Geography and Environmental Systems, University of Maryland, Baltimore County, Baltimore, Maryland, US","active":true,"usgs":false}],"preferred":false,"id":577249,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Colson, Abigail R.","contributorId":149190,"corporation":false,"usgs":false,"family":"Colson","given":"Abigail","email":"","middleInitial":"R.","affiliations":[{"id":17666,"text":"Department of Management Science, University of Strathclyde, Glasgow, Scotland","active":true,"usgs":false}],"preferred":false,"id":577250,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Filoso, Solange","contributorId":149191,"corporation":false,"usgs":false,"family":"Filoso","given":"Solange","email":"","affiliations":[{"id":17663,"text":"Chesapeake Biological Laboratory, University of Maryland Center for Environmental Science, Solomons, Maryland, United States","active":true,"usgs":false}],"preferred":false,"id":577251,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Hayhoe, Katharine","contributorId":149192,"corporation":false,"usgs":false,"family":"Hayhoe","given":"Katharine","email":"","affiliations":[{"id":17667,"text":"Climate Science Center, Texas Tech University, Lubbock, Texas, United States","active":true,"usgs":false}],"preferred":false,"id":577252,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Loperfido, J. 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Riverine nitrate (NO3) is a well-documented driver of eutrophication and hypoxia in coastal areas. The development of the elevated river NO3 concentration is linked to anthropogenic inputs from municipal, agricultural, and atmospheric sources. The intensity of these sources has varied regionally, through time, and in response to multiple causes such as economic drivers and policy responses. This study uses long-term water quality, land use, and other ancillary data to further describe the evolution of river NO3 concentrations at 22 monitoring stations in the United States (U.S.). The stations were selected for long-term data availability and to represent a range of climate and land-use conditions. We examined NO3 at the monitoring stations, using a flow-weighting scheme meant to account for interannual flow variability allowing greater focus on river chemical conditions. River NO3 concentration increased strongly during 1945-1980 at most of the stations and have remained elevated, but stopped increasing during 1981-2008. NO3 increased to a greater extent at monitoring stations in the Midwest U.S. and less so at those in the Eastern and Western U.S. We discuss 20th Century agricultural development in the U.S. and demonstrate that regional differences in NO3 concentration patterns were strongly related to an agricultural index developed using principal components analysis. This unique century-scale dataset adds to our understanding of long-term NO3 patterns in the U.S.

","language":"English","publisher":"Wiley","doi":"10.1111/1752-1688.12321","usgsCitation":"Stets, E., Kelly, V.J., and Crawford, C.G., 2015, Regional and temporal differences in nitrate trends discerned from long-term water quality monitoring data: Journal of the American Water Resources Association, v. 51, no. 5, p. 1394-1407, https://doi.org/10.1111/1752-1688.12321.","productDescription":"14 p.","startPage":"1394","endPage":"1407","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-065833","costCenters":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"links":[{"id":472002,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/1752-1688.12321","text":"Publisher Index Page"},{"id":322078,"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 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vjkelly@usgs.gov","contributorId":4161,"corporation":false,"usgs":true,"family":"Kelly","given":"Valerie","email":"vjkelly@usgs.gov","middleInitial":"J.","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":true,"id":631607,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"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":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true},{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true}],"preferred":true,"id":631608,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70173446,"text":"70173446 - 2015 - Spatial and temporal movement dynamics of brook Salvelinus fontinalis and brown trout Salmo trutta","interactions":[],"lastModifiedDate":"2016-06-20T13:03:17","indexId":"70173446","displayToPublicDate":"2015-10-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1528,"text":"Environmental Biology of Fishes","active":true,"publicationSubtype":{"id":10}},"title":"Spatial and temporal movement dynamics of brook Salvelinus fontinalis and brown trout Salmo trutta","docAbstract":"

Native eastern brook trout Salvelinus fontinalis and naturalized brown trout Salmo trutta occur sympatrically in many streams across the brook trout’s native range in the eastern United States. Understanding within- among-species variability in movement, including correlates of movement, has implications for management and conservation. We radio tracked 55 brook trout and 45 brown trout in five streams in a north-central Pennsylvania, USA watershed to quantify the movement of brook trout and brown trout during the fall and early winter to (1) evaluate the late-summer, early winter movement patterns of brook trout and brown trout, (2) determine correlates of movement and if movement patterns varied between brook trout and brown trout, and (3) evaluate genetic diversity of brook trout within and among study streams, and relate findings to telemetry-based observations of movement. Average total movement was greater for brown trout (mean ± SD = 2,924 ± 4,187 m) than for brook trout (mean ± SD = 1,769 ± 2,194 m). Although there was a large amount of among-fish variability in the movement of both species, the majority of movement coincided with the onset of the spawning season, and a threshold effect was detected between stream flow and movement: where movement increased abruptly for both species during positive flow events. Microsatellite analysis of brook trout revealed consistent findings to those found using radio-tracking, indicating a moderate to high degree of gene flow among brook trout populations. Seasonal movement patterns and the potential for relatively large movements of brook and brown trout highlight the importance of considering stream connectivity when restoring and protecting fish populations and their habitats.

","language":"English","publisher":"Springer","doi":"10.1007/s10641-015-0428-y","usgsCitation":"Davis, L., Wagner, T., and Barton, M.L., 2015, Spatial and temporal movement dynamics of brook Salvelinus fontinalis and brown trout Salmo trutta: Environmental Biology of Fishes, v. 98, no. 10, p. 2049-2065, https://doi.org/10.1007/s10641-015-0428-y.","productDescription":"17 p.","startPage":"2049","endPage":"2065","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-060347","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":324003,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Pennsylvania","otherGeospatial":"Hunts Run Watershed","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -76.39789581298828,\n 41.299733957661566\n ],\n [\n -76.39789581298828,\n 41.36972357275845\n ],\n [\n -76.26245498657227,\n 41.36972357275845\n ],\n [\n -76.26245498657227,\n 41.299733957661566\n ],\n [\n -76.39789581298828,\n 41.299733957661566\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"98","issue":"10","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2015-07-08","publicationStatus":"PW","scienceBaseUri":"576913e7e4b07657d19ff26b","chorus":{"doi":"10.1007/s10641-015-0428-y","url":"http://dx.doi.org/10.1007/s10641-015-0428-y","publisher":"Springer Nature","authors":"Davis Lori A., Wagner Tyler, Bartron Meredith L.","journalName":"Environmental Biology of Fishes","publicationDate":"7/8/2015","auditedOn":"7/24/2015"},"contributors":{"authors":[{"text":"Davis, L.A.","contributorId":29639,"corporation":false,"usgs":true,"family":"Davis","given":"L.A.","email":"","affiliations":[],"preferred":false,"id":639806,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wagner, Tyler 0000-0003-1726-016X twagner@usgs.gov","orcid":"https://orcid.org/0000-0003-1726-016X","contributorId":1050,"corporation":false,"usgs":true,"family":"Wagner","given":"Tyler","email":"twagner@usgs.gov","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":637140,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Barton, Meredith L.","contributorId":172172,"corporation":false,"usgs":false,"family":"Barton","given":"Meredith","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":639807,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70171526,"text":"70171526 - 2015 - Understanding natural capital","interactions":[],"lastModifiedDate":"2021-04-09T16:10:54.414424","indexId":"70171526","displayToPublicDate":"2015-10-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Understanding natural capital","docAbstract":"

This chapter serves to introduce the geophysics of Neotropical steeplands. Topics are covered in a general manner with hyperlinks to active research and monitoring sites (such as the National Hurricane Center and US Geological Survey publication). Topics covered include ‘tropical climate and weather,’ ‘climate variations and trends,’ Neotropical ‘geology, and soils,’ ‘hillslopes and erosion,’ ‘lakes and reservoirs,’ and ‘effects of land cover on water quality and quantity.’ Obviously, this is a lot of information to cover in a short chapter, hence the use of hyperlinks. The last theme ‘effects of land cover on water quality and quantity’ is covered by case studies, in all of which I have been centrally involved. These studies were chosen because they are among the few studies with sufficient data of high enough quality to reach definitive conclusions.

","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Managing watersheds for ecosystem services in the steepland neotropics","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Inter-American Development Bank","usgsCitation":"Stallard, R.F., 2015, Understanding natural capital, chap. of Managing watersheds for ecosystem services in the steepland neotropics, p. 17-47.","productDescription":"31 p.","startPage":"17","endPage":"47","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-065661","costCenters":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"links":[{"id":328251,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57cfe8c0e4b04836416a0e58","contributors":{"editors":[{"text":"Hall, Jefferson S.","contributorId":169939,"corporation":false,"usgs":false,"family":"Hall","given":"Jefferson","email":"","middleInitial":"S.","affiliations":[{"id":25632,"text":"Smithsonian Tropical Research Institute, Balboa, Panama","active":true,"usgs":false}],"preferred":false,"id":640029,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Kirn, Vanessa","contributorId":169940,"corporation":false,"usgs":false,"family":"Kirn","given":"Vanessa","email":"","affiliations":[{"id":25632,"text":"Smithsonian Tropical Research Institute, Balboa, Panama","active":true,"usgs":false}],"preferred":false,"id":640030,"contributorType":{"id":2,"text":"Editors"},"rank":2},{"text":"Yanguas-Fernandez, Estrella","contributorId":172253,"corporation":false,"usgs":false,"family":"Yanguas-Fernandez","given":"Estrella","email":"","affiliations":[],"preferred":false,"id":640031,"contributorType":{"id":2,"text":"Editors"},"rank":3}],"authors":[{"text":"Stallard, Robert F. 0000-0001-8209-7608 stallard@usgs.gov","orcid":"https://orcid.org/0000-0001-8209-7608","contributorId":1924,"corporation":false,"usgs":true,"family":"Stallard","given":"Robert","email":"stallard@usgs.gov","middleInitial":"F.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":631599,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70173619,"text":"70173619 - 2015 - Climate, water use, and land surface transformation in an irrigation intensive watershed - streamflow responses from 1950 through 2010","interactions":[],"lastModifiedDate":"2020-02-26T17:54:22","indexId":"70173619","displayToPublicDate":"2015-10-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":680,"text":"Agricultural Water Management","active":true,"publicationSubtype":{"id":10}},"title":"Climate, water use, and land surface transformation in an irrigation intensive watershed - streamflow responses from 1950 through 2010","docAbstract":"

Climatic variability and land surface change have a wide range of effects on streamflow and are often difficult to separate. We analyzed long-term records of climate, land use and land cover, and re-constructed the water budget based on precipitation, groundwater levels, and water use from 1950 through 2010 in the Cimarron–Skeleton watershed and a portion of the Cimarron–Eagle Chief watershed in Oklahoma, an irrigation-intensive agricultural watershed in the Southern Great Plains, USA. Our results show that intensive irrigation through alluvial aquifer withdrawal modifies climatic feedback and alters streamflow response to precipitation. Increase in consumptive water use was associated with decreases in annual streamflow, while returning croplands to non-irrigated grasslands was associated with increases in streamflow. Along with groundwater withdrawal, anthropogenic-induced factors and activities contributed nearly half to the observed variability of annual streamflow. Streamflow was more responsive to precipitation during the period of intensive irrigation between 1965 and 1984 than the period of relatively lower water use between 1985 and 2010. The Cimarron River is transitioning from a historically flashy river to one that is more stable with a lower frequency of both high and low flow pulses, a higher baseflow, and an increased median flow due in part to the return of cropland to grassland. These results demonstrated the interrelationship among climate, land use, groundwater withdrawal and streamflow regime and the potential to design agricultural production systems and adjust irrigation to mitigate impact of increasing climate variability on streamflow in irrigation intensive agricultural watershed.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.agwat.2015.07.007","usgsCitation":"Dale, J., Zou, C., Andrews, W.J., Long, J.M., Liang, Y., and Qiao, L., 2015, Climate, water use, and land surface transformation in an irrigation intensive watershed - streamflow responses from 1950 through 2010: Agricultural Water Management, v. 160, p. 144-152, https://doi.org/10.1016/j.agwat.2015.07.007.","productDescription":"9 p.","startPage":"144","endPage":"152","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-062619","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":323211,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Kansas, Oklahoma","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -97.5311279296875,\n 35.98689628443789\n ],\n [\n -97.701416015625,\n 35.58138418324621\n ],\n [\n -97.811279296875,\n 35.49198366469642\n ],\n [\n -98.7506103515625,\n 35.88459964717596\n ],\n [\n -99.4647216796875,\n 36.213255233061844\n ],\n [\n -99.5526123046875,\n 36.461054075054314\n ],\n [\n -99.11865234374999,\n 36.59347887826919\n ],\n [\n -98.3056640625,\n 36.4477991295848\n ],\n [\n -97.525634765625,\n 36.06686213257888\n ],\n [\n -97.52014160156249,\n 36.02244668175846\n ],\n [\n -97.5311279296875,\n 35.98689628443789\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"160","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5757f031e4b04f417c24da38","contributors":{"authors":[{"text":"Dale, Joseph","contributorId":171495,"corporation":false,"usgs":false,"family":"Dale","given":"Joseph","email":"","affiliations":[{"id":7249,"text":"Oklahoma State University","active":true,"usgs":false}],"preferred":false,"id":637689,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Zou, Chris B.","contributorId":31657,"corporation":false,"usgs":true,"family":"Zou","given":"Chris B.","affiliations":[],"preferred":false,"id":637690,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Andrews, William J. 0000-0003-4780-8835 wandrews@usgs.gov","orcid":"https://orcid.org/0000-0003-4780-8835","contributorId":328,"corporation":false,"usgs":true,"family":"Andrews","given":"William","email":"wandrews@usgs.gov","middleInitial":"J.","affiliations":[{"id":516,"text":"Oklahoma Water Science Center","active":true,"usgs":true}],"preferred":true,"id":637691,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"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":637692,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Liang, Ye","contributorId":171496,"corporation":false,"usgs":false,"family":"Liang","given":"Ye","email":"","affiliations":[{"id":7249,"text":"Oklahoma State University","active":true,"usgs":false}],"preferred":false,"id":637693,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Qiao, Lei","contributorId":171497,"corporation":false,"usgs":false,"family":"Qiao","given":"Lei","email":"","affiliations":[],"preferred":false,"id":637694,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70187397,"text":"70187397 - 2015 - Abrupt termination of Marine Isotope Stage 16 (Termination VII) at 631.5 ka in Santa Barbara Basin, California","interactions":[],"lastModifiedDate":"2021-08-31T15:05:58.060888","indexId":"70187397","displayToPublicDate":"2015-10-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3002,"text":"Paleoceanography","active":true,"publicationSubtype":{"id":10}},"title":"Abrupt termination of Marine Isotope Stage 16 (Termination VII) at 631.5 ka in Santa Barbara Basin, California","docAbstract":"

The Marine Isotope Stage 16–15 boundary (Termination VII) is the first deglacial warming step of the late Quaternary following the mid-Pleistocene transition (MPT), when 41 kyr climatic cycles shifted to strong 100 kyr cycles. The detailed structure of this important climatic event has remained unknown until now. Core MV0508-19JPC from Santa Barbara Basin, California, contains a decadal-scale climatic and geochemical sediment record of 4000 years duration that includes the early part of this deglacial episode. This record reveals that the climatic shift during the early deglacial occurred rapidly (<700 years), in a progression of three abrupt warming steps. The onset of Marine Isotope Stage (MIS) 15 was remarkably abrupt with 4–5°C sea surface warming in ~50 years. The deglacial sequence contains the well-dated Lava Creek tephra (631.3 ± 4 ka) from Yellowstone Caldera used to date the onset of Termination VII at 631.5 ka. The late MIS 16 and early MIS 15 interval exhibits multiple decadal-scale negative excursions in δ13C of planktic foraminifera, likely the result of repeated discharges of methane from methane hydrates associated with both ocean warming and low sea level. A warm interstadial that interrupts late MIS 16 is marked by elevated concentrations of redox-sensitive elements indicating sulfidic, oxygen-deficient bottom and pore-waters, and elevated concentrations of total organic carbon and Cd, reflecting increased surface productivity. Unlike younger sediments on the California margin, these indicators of increased productivity and low dissolved oxygen do not consistently correspond with each other or with preserved laminations, possibly reflecting instability of a still evolving ocean-atmosphere system following the MPT.

","language":"English","publisher":"American Geophysical Union","doi":"10.1002/2014PA002756","usgsCitation":"Dean, W.E., Kennett, J.P., Behl, R.J., Nicholson, C., and Sorlien, C., 2015, Abrupt termination of Marine Isotope Stage 16 (Termination VII) at 631.5 ka in Santa Barbara Basin, California: Paleoceanography, v. 30, no. 10, p. 1373-1390, https://doi.org/10.1002/2014PA002756.","productDescription":"18 p.","startPage":"1373","endPage":"1390","ipdsId":"IP-053846","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":471756,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/2014pa002756","text":"Publisher Index Page"},{"id":340705,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Santa Barbara Basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -120.63812255859375,\n 33.82023008524739\n ],\n [\n -119.080810546875,\n 33.82023008524739\n ],\n [\n -119.080810546875,\n 34.58573628651288\n ],\n [\n -120.63812255859375,\n 34.58573628651288\n ],\n [\n -120.63812255859375,\n 33.82023008524739\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"30","issue":"10","noUsgsAuthors":false,"publicationDate":"2015-10-31","publicationStatus":"PW","scienceBaseUri":"59084929e4b0fc4e448ffd5a","contributors":{"authors":[{"text":"Dean, Walter E. dean@usgs.gov","contributorId":1801,"corporation":false,"usgs":true,"family":"Dean","given":"Walter","email":"dean@usgs.gov","middleInitial":"E.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":693838,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kennett, James P.","contributorId":52499,"corporation":false,"usgs":true,"family":"Kennett","given":"James","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":693839,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Behl, Richard J.","contributorId":191680,"corporation":false,"usgs":false,"family":"Behl","given":"Richard","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":693840,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Nicholson, Craig","contributorId":80695,"corporation":false,"usgs":true,"family":"Nicholson","given":"Craig","email":"","affiliations":[],"preferred":false,"id":693841,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Sorlien, Christopher C.","contributorId":78813,"corporation":false,"usgs":true,"family":"Sorlien","given":"Christopher C.","affiliations":[],"preferred":false,"id":693842,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70194287,"text":"70194287 - 2015 - Reconstructing turbidity in a glacially influenced lake using the Landsat TM and ETM+ surface reflectance climate data record archive, Lake Clark, Alaska","interactions":[],"lastModifiedDate":"2017-11-21T16:37:41","indexId":"70194287","displayToPublicDate":"2015-10-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3250,"text":"Remote Sensing","active":true,"publicationSubtype":{"id":10}},"title":"Reconstructing turbidity in a glacially influenced lake using the Landsat TM and ETM+ surface reflectance climate data record archive, Lake Clark, Alaska","docAbstract":"

Lake Clark is an important nursery lake for sockeye salmon (Oncorhynchus nerka) in the headwaters of Bristol Bay, Alaska, the most productive wild salmon fishery in the world. Reductions in water clarity within Alaska lake systems as a result of increased glacial runoff have been shown to reduce salmon production via reduced abundance of zooplankton and macroinvertebrates. In this study, we reconstruct long-term, lake-wide water clarity for Lake Clark using the Landsat TM and ETM+ surface reflectance products (1985–2014) and in situwater clarity data collected between 2009 and 2013. Analysis of a Landsat scene acquired in 2009, coincident with in situ measurements in the lake, and uncertainty analysis with four scenes acquired within two weeks of field data collection showed that Band 3 surface reflectance was the best indicator of turbidity (r2 = 0.55,RMSE << 0.01). We then processed 151 (98 partial- and 53 whole-lake) Landsat scenes using this relation and detected no significant long-term trend in mean turbidity for Lake Clark between 1991 and 2014. We did, however, detect interannual variation that exhibited a non-significant (r2 = 0.20) but positive correlation (r = 0.20) with regional mean summer air temperature and found the month of May exhibited a significant positive trend (r2 = 0.68, p = 0.02) in turbidity between 2000 and 2014. This study demonstrates the utility of hindcasting turbidity in a glacially influenced lake using the Landsat surface reflectance products. It may also help land and resource managers reconstruct turbidity records for lakes that lack in situ monitoring, and may be useful in predicting future water clarity conditions based on projected climate scenarios.

","language":"English","publisher":"MDPI","doi":"10.3390/rs71013692","usgsCitation":"Baughman, C., Jones, B.M., Bartz, K.K., Young, D.B., and Zimmerman, C.E., 2015, Reconstructing turbidity in a glacially influenced lake using the Landsat TM and ETM+ surface reflectance climate data record archive, Lake Clark, Alaska: Remote Sensing, v. 7, no. 10, p. 13692-13710, https://doi.org/10.3390/rs71013692.","productDescription":"19 p.","startPage":"13692","endPage":"13710","ipdsId":"IP-066580","costCenters":[{"id":118,"text":"Alaska Science Center Geography","active":true,"usgs":true}],"links":[{"id":471755,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/rs71013692","text":"Publisher Index Page"},{"id":349242,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Lake Clark","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -154.84954833984375,\n 60.0113438097352\n ],\n [\n -153.57513427734375,\n 60.0113438097352\n ],\n [\n -153.57513427734375,\n 60.45992621736877\n ],\n [\n -154.84954833984375,\n 60.45992621736877\n ],\n [\n -154.84954833984375,\n 60.0113438097352\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"7","issue":"10","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2015-10-20","publicationStatus":"PW","scienceBaseUri":"5a60fe67e4b06e28e9c252f3","contributors":{"authors":[{"text":"Baughman, Carson 0000-0002-9423-9324 cbaughman@usgs.gov","orcid":"https://orcid.org/0000-0002-9423-9324","contributorId":169657,"corporation":false,"usgs":true,"family":"Baughman","given":"Carson","email":"cbaughman@usgs.gov","affiliations":[{"id":118,"text":"Alaska Science Center Geography","active":true,"usgs":true}],"preferred":true,"id":723094,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jones, Benjamin M. 0000-0002-1517-4711 bjones@usgs.gov","orcid":"https://orcid.org/0000-0002-1517-4711","contributorId":2286,"corporation":false,"usgs":true,"family":"Jones","given":"Benjamin","email":"bjones@usgs.gov","middleInitial":"M.","affiliations":[{"id":118,"text":"Alaska Science Center Geography","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":723095,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bartz, Krista K.","contributorId":200705,"corporation":false,"usgs":false,"family":"Bartz","given":"Krista","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":723097,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Young, Daniel","contributorId":58468,"corporation":false,"usgs":false,"family":"Young","given":"Daniel","affiliations":[{"id":35763,"text":"National Park Service, Lake Clark National Park and Preserve, Port Alsworth, AK","active":true,"usgs":false}],"preferred":false,"id":723098,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Zimmerman, Christian E. 0000-0002-3646-0688 czimmerman@usgs.gov","orcid":"https://orcid.org/0000-0002-3646-0688","contributorId":410,"corporation":false,"usgs":true,"family":"Zimmerman","given":"Christian","email":"czimmerman@usgs.gov","middleInitial":"E.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":120,"text":"Alaska Science Center Water","active":true,"usgs":true},{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":723096,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70158982,"text":"70158982 - 2015 - Geochemical legacies and the future health of cities: A tale of two neurotoxins in urban soils","interactions":[],"lastModifiedDate":"2015-10-13T12:33:30","indexId":"70158982","displayToPublicDate":"2015-10-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3888,"text":"Elementa: Science of the Anthropocene","active":true,"publicationSubtype":{"id":10}},"title":"Geochemical legacies and the future health of cities: A tale of two neurotoxins in urban soils","docAbstract":"

The past and future of cities are inextricably linked, a linkage that can be seen clearly in the long-term impacts of urban geochemical legacies. As loci of population as well as the means of employment and industry to support these populations, cities have a long history of co-locating contaminating practices and people, sometimes with negative implications for human health. Working at the intersection between environmental processes, communities, and human health is critical to grapple with environmental legacies and to support healthy, sustainable, and growing urban populations. An emerging area of environmental health research is to understand the impacts of chronic exposures and exposure mixtures—these impacts are poorly studied, yet may pose a significant threat to population health.

\n

Acute exposure to lead (Pb), a powerful neurotoxin to which children are particularly susceptible, has largely been eliminated in the U.S. and other countries through policy-based restrictions on leaded gasoline and lead-based paints. But the legacy of these sources remains in the form of surface soil Pb contamination, a common problem in cities and one that has only recently emerged as a widespread chronic exposure mechanism in cities. Some urban soils are also contaminated with another neurotoxin, mercury (Hg). The greatest human exposure to Hg is through fish consumption, so eating fish caught in urban areas presents risks for toxic Hg exposure. The potential double impact of chronic exposure to these two neurotoxins is pronounced in cities. Overall, there is a paradigmatic shift from reaction to and remediation of acute exposures towards a more nuanced understanding of the dynamic cycling of persistent environmental contaminants with resultant widespread and chronic exposure of inner-city dwellers, leading to chronic toxic illness and disability at substantial human and social cost.

","language":"English","publisher":"Elementa","doi":"10.12952/journal.elementa.000059","usgsCitation":"Fillipelli, G.M., Risch, M.R., Laidlaw, M.A., Nichols, D.E., and Crewe, J., 2015, Geochemical legacies and the future health of cities: A tale of two neurotoxins in urban soils: Elementa: Science of the Anthropocene, 19 p., https://doi.org/10.12952/journal.elementa.000059.","productDescription":"19 p.","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-066161","costCenters":[{"id":346,"text":"Indiana Water Science Center","active":true,"usgs":true}],"links":[{"id":471747,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.12952/journal.elementa.000059","text":"Publisher Index Page"},{"id":309840,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Indiana","city":"Indianapolis","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -86.38137817382812,\n 39.590873865955906\n ],\n [\n -86.38137817382812,\n 40.00026797264677\n ],\n [\n -85.89248657226562,\n 40.00026797264677\n ],\n [\n -85.89248657226562,\n 39.590873865955906\n ],\n [\n -86.38137817382812,\n 39.590873865955906\n ]\n ]\n ]\n }\n }\n ]\n}","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationDate":"2015-07-24","publicationStatus":"PW","scienceBaseUri":"561e2b34e4b0cdb063e59ccc","contributors":{"authors":[{"text":"Fillipelli, Gabriel M.","contributorId":149162,"corporation":false,"usgs":false,"family":"Fillipelli","given":"Gabriel","email":"","middleInitial":"M.","affiliations":[{"id":17660,"text":"IUPUI (Indiana University-Purdue University at Indianapolis)","active":true,"usgs":false}],"preferred":false,"id":577132,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Risch, Martin R. 0000-0002-7908-7887 mrrisch@usgs.gov","orcid":"https://orcid.org/0000-0002-7908-7887","contributorId":2118,"corporation":false,"usgs":true,"family":"Risch","given":"Martin","email":"mrrisch@usgs.gov","middleInitial":"R.","affiliations":[{"id":35860,"text":"Ohio-Kentucky-Indiana Water Science Center","active":true,"usgs":true},{"id":346,"text":"Indiana Water Science Center","active":true,"usgs":true},{"id":27231,"text":"Indiana-Kentucky Water Science Center","active":true,"usgs":true}],"preferred":true,"id":577131,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Laidlaw, Mark A. S.","contributorId":149163,"corporation":false,"usgs":false,"family":"Laidlaw","given":"Mark","email":"","middleInitial":"A. S.","affiliations":[{"id":17661,"text":"Royal Melbourne Institute of Technology (RMIT University)","active":true,"usgs":false}],"preferred":false,"id":577133,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Nichols, Deborah E.","contributorId":149164,"corporation":false,"usgs":false,"family":"Nichols","given":"Deborah","email":"","middleInitial":"E.","affiliations":[{"id":17660,"text":"IUPUI (Indiana University-Purdue University at Indianapolis)","active":true,"usgs":false}],"preferred":false,"id":577134,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Crewe, Julie","contributorId":149165,"corporation":false,"usgs":false,"family":"Crewe","given":"Julie","email":"","affiliations":[{"id":17660,"text":"IUPUI (Indiana University-Purdue University at Indianapolis)","active":true,"usgs":false}],"preferred":false,"id":577135,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70157061,"text":"sir20155124 - 2015 - Discharge, suspended sediment, bedload, and water quality in Clear Creek, western Nevada, water years 2010-12","interactions":[],"lastModifiedDate":"2015-10-01T09:04:14","indexId":"sir20155124","displayToPublicDate":"2015-09-30T17:45:00","publicationYear":"2015","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2015-5124","title":"Discharge, suspended sediment, bedload, and water quality in Clear Creek, western Nevada, water years 2010-12","docAbstract":"

Clear Creek is a small stream that drains the eastern Sierra Nevada near Lake Tahoe, flows roughly parallel to the U.S. Highway 50 corridor, and discharges to the Carson River near Carson City, Nevada. Historical and ongoing development in the drainage basin is thought to be affecting Clear Creek and its sediment-transport characteristics. A baseline study from water years 2004–07 collected and evaluated data at three Clear Creek sampling sites. These data included discharge, selected water-quality parameters, and suspended-sediment concentrations, loads, and yields. This study builds on what was learned from the baseline study in water years 2004–07 and serves as a continuation of the data collection and analyses of the Clear Creek discharge regime and associated water-quality and sediment concentrations and loads during water years 2010–12.

\n

During this study, total annual sediment loads ranged from 355 tons per year in 2010 to 1,768 tons per year in 2011 and were significantly lower than the previous study (water years 2004–07). Bedload represented between 29 and 38 percent of total sediment load in water years 2010–12, and between 72 and 90 percent of the total sediment load in water years 2004–07, which indicates a decrease in bedload between study periods. Annual suspended-sediment loads in water years 2010–12 indicated no significant change from water years 2004–07. Mean daily discharge was significantly lower in water years 2010–12 than in waters years 2004–07 and may be the reason for the decrease in bedload that resulted in a lower total sediment load.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20155124","collaboration":"Prepared in cooperation with the Nevada Department of Transportation","usgsCitation":"Huntington, J.M., and Savard, C.S., 2015, Discharge, suspended sediment, bedload, and water quality in Clear Creek, western Nevada, water years 2010–12: U.S. Geological Survey Scientific Investigations Report 2015-5124, 39 p., https://dx.doi.org/10.3133/sir20155124.","productDescription":"vi, 39 p.","numberOfPages":"50","onlineOnly":"Y","additionalOnlineFiles":"N","temporalStart":"2009-10-01","temporalEnd":"2010-09-30","ipdsId":"IP-040257","costCenters":[{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true}],"links":[{"id":309378,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2015/5124/coverthb.jpg"},{"id":309379,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2015/5124/sir20155124.pdf","text":"Report","size":"3 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2015-5124 PDF"}],"country":"United States","state":"Nevada","otherGeospatial":"Clear Creek","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -119.91920471191406,\n 39.02665200282546\n ],\n [\n -119.91920471191406,\n 39.188360332930166\n ],\n [\n -119.72333908081055,\n 39.188360332930166\n ],\n [\n -119.72333908081055,\n 39.02665200282546\n ],\n [\n -119.91920471191406,\n 39.02665200282546\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"

Director, Nevada Water Science Center
U.S. Geological Survey
2730 N. Deer Run Rd.
Carson City, NV 89701
http://nevada.usgs.gov/water/

","tableOfContents":"","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"publishedDate":"2015-09-30","noUsgsAuthors":false,"publicationDate":"2015-09-30","publicationStatus":"PW","scienceBaseUri":"560cf99be4b058f706e542e4","contributors":{"authors":[{"text":"Huntington, Jena M. 0000-0002-9291-1404 jmhunt@usgs.gov","orcid":"https://orcid.org/0000-0002-9291-1404","contributorId":2294,"corporation":false,"usgs":true,"family":"Huntington","given":"Jena","email":"jmhunt@usgs.gov","middleInitial":"M.","affiliations":[{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true}],"preferred":true,"id":571392,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Savard, Charles S. cssavard@usgs.gov","contributorId":3538,"corporation":false,"usgs":true,"family":"Savard","given":"Charles","email":"cssavard@usgs.gov","middleInitial":"S.","affiliations":[{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true}],"preferred":true,"id":571391,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70155934,"text":"sir20155111 - 2015 - Fluvial geomorphology and suspended-sediment transport during construction of the Roanoke River Flood Reduction Project in Roanoke, Virginia, 2005–2012","interactions":[],"lastModifiedDate":"2017-06-22T11:00:24","indexId":"sir20155111","displayToPublicDate":"2015-09-30T14:45:00","publicationYear":"2015","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2015-5111","title":"Fluvial geomorphology and suspended-sediment transport during construction of the Roanoke River Flood Reduction Project in Roanoke, Virginia, 2005–2012","docAbstract":"

Beginning in 2005, after decades of planning, the U.S. Army Corps of Engineers (USACE) undertook a major construction effort to reduce the effects of flooding on the city of Roanoke, Virginia—the Roanoke River Flood Reduction Project (RRFRP). Prompted by concerns about the potential for RRFRP construction-induced geomorphological instability and sediment liberation and the detrimental effects these responses could have on the endangered Roanoke logperch (Percina rex), the U.S. Geological Survey (USGS) partnered with the USACE to provide a real-time warning network and a long-term monitoring program to evaluate geomorphological change and sediment transport in the affected river reach. Geomorphological change and suspended-sediment transport are highly interdependent and cumulatively provide a detailed understanding of the sedimentary response, or lack thereof, of the Roanoke River to construction of the RRFRP.

\n

Bed-sediment composition was usually finer in post-construction than pre-construction measurements, yet the annual changes in composition were not significantly different; thus, there was minimal evidence that RRFRP construction practices alone induced fining of bed materials. Cross-sectional surveys revealed variability in bankfull and base-flow channel geometry metrics, but no significant differences in this variability were detected between pre- and post-construction measurements, excluding designed alterations in channel geometry. A lack of channel-forming streamflow events, however, limited the ability to fully characterize the stability of the constructed channel and floodplain features, as bankfull flow events occurred only 2 of the 8 years of study. Therefore, additional channel surveys may be needed in the future, once sufficient channel-forming events have occurred, to fully assess stability. Relations between turbidity and suspended sediment were statistically indistinguishable between the upstream and downstream limits of the RRFRP construction reach. These relations did not change over time, indicating no significant changes in suspended-sediment composition or source in the construction reach during the period of study.

\n

Results of the geomorphological and suspended-sediment monitoring components were largely in agreement and consistent with those of a related effort that monitored the logperch population before and during construction. These findings suggest that construction and sediment-control practices sufficiently protected in-stream habitat and the organisms that inhabit those locations, namely the Roanoke logperch, during the period monitored.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20155111","isbn":"978-1-4113-3967-5","collaboration":"Prepared in cooperation with the U.S. Army Corps of Engineers","usgsCitation":"Jastram, J.D., Krstolic, J.L., Moyer, D.L., and Hyer, K.E., 2015, Fluvial geomorphology and suspended-sediment transport during construction of the Roanoke River Flood Reduction Project in Roanoke, Virginia, 2005–2012: U.S. Geological Survey Scientific Investigations Report 2015–5111, 53 p., https://dx.doi.org/10.3133/sir20155111.","productDescription":"Report: vii, 53 p.; Appendixes 2-3","onlineOnly":"N","additionalOnlineFiles":"Y","temporalStart":"2005-01-01","temporalEnd":"2012-12-31","ipdsId":"IP-061895","costCenters":[{"id":614,"text":"Virginia Water Science Center","active":true,"usgs":true}],"links":[{"id":308681,"rank":4,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2015/5111/sir2015-5111_appendix3.pdf","text":"Appendix3","size":"7.35 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2015-5111","linkHelpText":"Photographs for each geomorphology monitoring site, Roanoke, Virginia"},{"id":308652,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2015/5111/sir20155111.pdf","text":"Report","size":"5.44 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2015-5111"},{"id":342748,"rank":5,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F77P8WXK","text":"USGS data release","description":"USGS data release","linkHelpText":"Annual Channel Geomorphology Cross-Section Surveys 2005-2012 in Roanoke, Virginia"},{"id":308680,"rank":3,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2015/5111/sir2015-5111_appendix2.zip","text":"Appendix 2","size":"1.59 MB","linkFileType":{"id":6,"text":"zip"},"description":"SIR 2015-5111","linkHelpText":"Roanoke geomorphology surveys database, also available through the associated USGS data release"},{"id":308651,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2015/5111/coverthb.jpg"}],"country":"United States","state":"Virginia","city":"Roanoke","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -80.08415222167969,\n 37.232515211349174\n ],\n [\n -80.08415222167969,\n 37.32867264506217\n ],\n [\n -79.89738464355469,\n 37.32867264506217\n ],\n [\n -79.89738464355469,\n 37.232515211349174\n ],\n [\n -80.08415222167969,\n 37.232515211349174\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"

Director, Virginia Water Science Center
U.S. Geological Survey
1730 East Parham Road
Richmond, VA 23228
http://va.water.usgs.gov

","tableOfContents":"","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"publishedDate":"2015-09-30","noUsgsAuthors":false,"publicationDate":"2015-09-30","publicationStatus":"PW","scienceBaseUri":"560cf99de4b058f706e542ea","contributors":{"authors":[{"text":"Jastram, John D. 0000-0002-9416-3358 jdjastra@usgs.gov","orcid":"https://orcid.org/0000-0002-9416-3358","contributorId":3531,"corporation":false,"usgs":true,"family":"Jastram","given":"John","email":"jdjastra@usgs.gov","middleInitial":"D.","affiliations":[{"id":37759,"text":"VA/WV Water Science Center","active":true,"usgs":true}],"preferred":true,"id":566947,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Krstolic, Jennifer L. 0000-0003-2253-9886 jkrstoli@usgs.gov","orcid":"https://orcid.org/0000-0003-2253-9886","contributorId":3677,"corporation":false,"usgs":true,"family":"Krstolic","given":"Jennifer","email":"jkrstoli@usgs.gov","middleInitial":"L.","affiliations":[{"id":37759,"text":"VA/WV Water Science Center","active":true,"usgs":true},{"id":614,"text":"Virginia Water Science Center","active":true,"usgs":true}],"preferred":true,"id":566948,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Moyer, Douglas 0000-0001-6330-478X dlmoyer@usgs.gov","orcid":"https://orcid.org/0000-0001-6330-478X","contributorId":2670,"corporation":false,"usgs":true,"family":"Moyer","given":"Douglas","email":"dlmoyer@usgs.gov","affiliations":[{"id":614,"text":"Virginia Water Science Center","active":true,"usgs":true}],"preferred":false,"id":566949,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hyer, Kenneth kenhyer@usgs.gov","contributorId":2701,"corporation":false,"usgs":true,"family":"Hyer","given":"Kenneth","email":"kenhyer@usgs.gov","affiliations":[{"id":614,"text":"Virginia Water Science Center","active":true,"usgs":true}],"preferred":false,"id":566950,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70156634,"text":"sir20155118 - 2015 - Evaluation and comparison of methods to estimate irrigation withdrawal for the National Water Census Focus Area Study of the Apalachicola-Chattahoochee-Flint River Basin in southwestern Georgia","interactions":[],"lastModifiedDate":"2017-01-18T13:22:16","indexId":"sir20155118","displayToPublicDate":"2015-09-30T11:30:00","publicationYear":"2015","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2015-5118","title":"Evaluation and comparison of methods to estimate irrigation withdrawal for the National Water Census Focus Area Study of the Apalachicola-Chattahoochee-Flint River Basin in southwestern Georgia","docAbstract":"

Methods to estimate irrigation withdrawal using nationally available datasets and techniques that are transferable to other agricultural regions were evaluated by the U.S. Geological Survey as part of the Apalachicola-Chattahoochee-Flint (ACF) River Basin focus area study of the National Water Census (ACF–FAS). These methods investigated the spatial, temporal, and quantitative distributions of water withdrawal for irrigation in the southwestern Georgia region of the ACF–FAS, filling a vital need to inform science-based decisions regarding resource management and conservation. The crop– demand method assumed that only enough water is pumped onto a crop to satisfy the deficit between evapotranspiration and precipitation. A second method applied a geostatistical regimen of variography and conditional simulation to monthly metered irrigation withdrawal to estimate irrigation withdrawal where data do not exist. A third method analyzed Landsat satellite imagery using an automated approach to generate monthly estimates of irrigated lands. These methods were evaluated independently and compared collectively with measured water withdrawal information available in the Georgia part of the ACF–FAS, principally in the Chattahoochee-Flint River Basin. An assessment of each method’s contribution to the National Water Census program was also made to identify transfer value of the methods to the national program and other water census studies. None of the three methods evaluated represent a turnkey process to estimate irrigation withdrawal on any spatial (local or regional) or temporal (monthly or annual) extent. Each method requires additional information on agricultural practices during the growing season to complete the withdrawal estimation process. Spatial and temporal limitations inherent in identifying irrigated acres during the growing season, and in designing spatially and temporally representative monitor (meter) networks, can belie the ability of the methods to produce accurate irrigation-withdrawal estimates that can be used to produce dependable and consistent assessments of water availability and use for the National Water Census. Emerging satellite-data products and techniques for data analysis can generate high spatial-resolution estimates of irrigated-acres distributions with near-term temporal frequencies compatible with the needs of the ACF–FAS and the National Water Census.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20155118","collaboration":"Prepared in cooperation with the National Water Census Program","usgsCitation":"Painter, J.A., Torak, L.J., and Jones, J.W., 2015, Evaluation and comparison of methods to estimate irrigation withdrawal for the National Water Census Focus Area Study of the Apalachicola-Chattahoochee-Flint River Basin in southwestern Georgia, U.S. Geological Survey Scientific Investigations Report
2015–5118, 32 p., https://dx.doi.org/10.3133/sir20155118.","productDescription":"vii, 32 p.","numberOfPages":"44","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-064735","costCenters":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"links":[{"id":308237,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2015/5118/coverthb.jpg"},{"id":308238,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2015/5118/sir20155118.pdf","text":"Report","size":"15.5 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2015-5118"}],"country":"United States","state":"Georgia","otherGeospatial":"Apalachicola-Chattahoochee-Flint River Basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -85.1055908203125,\n 31.269160890477654\n ],\n [\n -84.957275390625,\n 31.522361470421437\n ],\n [\n -84.7705078125,\n 31.662732913235317\n ],\n [\n -84.61669921875,\n 31.826231907142883\n ],\n [\n -84.4024658203125,\n 31.956823015897207\n ],\n [\n -84.210205078125,\n 32.01273389791075\n ],\n [\n -84.0234375,\n 32.08722870829662\n ],\n [\n -83.880615234375,\n 32.13840869677251\n ],\n [\n -83.6553955078125,\n 32.04998888314202\n ],\n [\n -83.638916015625,\n 31.924192605327708\n ],\n [\n -83.6773681640625,\n 31.77020763186669\n ],\n [\n -83.8311767578125,\n 31.527043924837933\n ],\n [\n -84.00146484374999,\n 31.353636941500987\n ],\n [\n -84.1278076171875,\n 31.13760327002129\n ],\n [\n -84.3310546875,\n 30.987027960280326\n ],\n [\n -84.4024658203125,\n 30.826780904779774\n ],\n [\n -84.5343017578125,\n 30.727670895047673\n ],\n [\n -84.6826171875,\n 30.69933500437198\n ],\n [\n -84.8858642578125,\n 30.70878122625409\n ],\n [\n -84.9517822265625,\n 30.7937555812177\n ],\n [\n -84.92431640625,\n 30.850363469502362\n ],\n [\n -84.979248046875,\n 30.911651004518244\n ],\n [\n -85.0177001953125,\n 30.987027960280326\n ],\n [\n -85.0177001953125,\n 31.057639814130123\n ],\n [\n -85.0836181640625,\n 31.123496964067325\n ],\n [\n -85.11657714843749,\n 31.18930843952816\n ],\n [\n -85.10009765625,\n 31.217499361938142\n ],\n [\n -85.1055908203125,\n 31.269160890477654\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"

Director, South Atlantic Water Science Center
North Carolina–South Carolina–Georgia
720 Gracern Road, Suite 129
Columbia, SC 29210
Phone: (803) 750-6100
http://ga.water.usgs.gov/

","tableOfContents":"","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"publishedDate":"2015-09-30","noUsgsAuthors":false,"publicationDate":"2015-09-30","publicationStatus":"PW","scienceBaseUri":"560cf99de4b058f706e542e8","contributors":{"authors":[{"text":"Painter, Jaime A. 0000-0001-8883-9158 jpainter@usgs.gov","orcid":"https://orcid.org/0000-0001-8883-9158","contributorId":1466,"corporation":false,"usgs":true,"family":"Painter","given":"Jaime","email":"jpainter@usgs.gov","middleInitial":"A.","affiliations":[{"id":316,"text":"Georgia Water Science Center","active":true,"usgs":true},{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"preferred":true,"id":569734,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Torak, Lynn J. ljtorak@usgs.gov","contributorId":401,"corporation":false,"usgs":true,"family":"Torak","given":"Lynn","email":"ljtorak@usgs.gov","middleInitial":"J.","affiliations":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"preferred":true,"id":569735,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Jones, John W. 0000-0001-6117-3691 jwjones@usgs.gov","orcid":"https://orcid.org/0000-0001-6117-3691","contributorId":2220,"corporation":false,"usgs":true,"family":"Jones","given":"John","email":"jwjones@usgs.gov","middleInitial":"W.","affiliations":[{"id":242,"text":"Eastern Geographic Science Center","active":true,"usgs":true},{"id":37786,"text":"WMA - Observing Systems Division","active":true,"usgs":true}],"preferred":true,"id":569736,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70173601,"text":"70173601 - 2015 - Long-term trends in reservoir water quality and quantity in two major river basins of the southern Great Plains","interactions":[],"lastModifiedDate":"2026-03-09T14:21:57.964198","indexId":"70173601","displayToPublicDate":"2015-09-30T01:30:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5096,"text":"Land and Reservoir Management","onlineIssn":" 2151-553","printIssn":"1040-2381","active":true,"publicationSubtype":{"id":10}},"title":"Long-term trends in reservoir water quality and quantity in two major river basins of the southern Great Plains","docAbstract":"

Trends in water quality and quantity were assessed for 11 major reservoirs of the Brazos and Colorado river basins in the southern Great Plains (maximum period of record, 1965–2010). Water quality, major contributing-stream inflow, storage, local precipitation, and basin-wide total water withdrawals were analyzed. Inflow and storage decreased and total phosphorus increased in most reservoirs. The overall, warmest-, or coldest-monthly temperatures increased in 7 reservoirs, decreased in 1 reservoir, and did not significantly change in 3 reservoirs. The most common monotonic trend in salinity-related variables (specific conductance, chloride, sulfate) was one of no change, and when significant change occurred, it was inconsistent among reservoirs. No significant change was detected in monthly sums of local precipitation. Annual water withdrawals increased in both basins, but the increase was significant (P < 0.05) only in the Colorado River and marginally significant (P < 0.1) in the Brazos River. Salinity-related variables dominated spatial variability in water quality data due to the presence of high- and low-salinity reservoirs in both basins. These observations present a landscape in the Brazos and Colorado river basins where, in the last ∼40 years, reservoir inflow and storage generally decreased, eutrophication generally increased, and water temperature generally increased in at least 1 of 3 temperature indicators evaluated. Because local precipitation remained generally stable, observed reductions in reservoir inflow and storage during the study period may be attributable to other proximate factors, including increased water withdrawals (at least in the Colorado River basin) or decreased runoff from contributing watersheds.

","language":"English","publisher":"Taylor & Francis","doi":"10.1080/10402381.2015.1074324","usgsCitation":"Dawson, D., VanLandeghem, M.M., Asquith, W.H., and Patino, R., 2015, Long-term trends in reservoir water quality and quantity in two major river basins of the southern Great Plains: Land and Reservoir Management, v. 31, no. 3, p. 254-279, https://doi.org/10.1080/10402381.2015.1074324.","productDescription":"26 p.","startPage":"254","endPage":"279","numberOfPages":"26","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-051545","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":324201,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.er.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California, Colorado, Nevada, New Mexico, Texas, Utah, Wyoming","otherGeospatial":"Brazos and Colorado River basins, southern Great Plains","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n 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PSC"},"noUsgsAuthors":false,"publicationDate":"2015-09-11","publicationStatus":"PW","scienceBaseUri":"576bb6b8e4b07657d1a228fa","contributors":{"authors":[{"text":"Dawson, D.","contributorId":72901,"corporation":false,"usgs":true,"family":"Dawson","given":"D.","email":"","affiliations":[],"preferred":false,"id":640282,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"VanLandeghem, Matthew M.","contributorId":171742,"corporation":false,"usgs":false,"family":"VanLandeghem","given":"Matthew","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":640281,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Asquith, William H. 0000-0002-7400-1861 wasquith@usgs.gov","orcid":"https://orcid.org/0000-0002-7400-1861","contributorId":1007,"corporation":false,"usgs":true,"family":"Asquith","given":"William","email":"wasquith@usgs.gov","middleInitial":"H.","affiliations":[{"id":48595,"text":"Oklahoma-Texas Water Science Center","active":true,"usgs":true}],"preferred":true,"id":637390,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Patino, Reynaldo 0000-0002-4831-8400 r.patino@usgs.gov","orcid":"https://orcid.org/0000-0002-4831-8400","contributorId":2311,"corporation":false,"usgs":true,"family":"Patino","given":"Reynaldo","email":"r.patino@usgs.gov","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":637389,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70189276,"text":"70189276 - 2015 - Increasing Northern Hemisphere water deficit","interactions":[],"lastModifiedDate":"2017-07-07T15:00:00","indexId":"70189276","displayToPublicDate":"2015-09-30T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1252,"text":"Climatic Change","active":true,"publicationSubtype":{"id":10}},"title":"Increasing Northern Hemisphere water deficit","docAbstract":"A monthly water-balance model is used with CRUTS3.1 gridded monthly precipitation and potential evapotranspiration (PET) data to examine changes in global water deficit (PET minus actual evapotranspiration) for the Northern Hemisphere (NH) for the years 1905 through 2009. Results show that NH deficit increased dramatically near the year 2000 during both the cool (October through March) and warm (April through September) seasons. The increase in water deficit near 2000 coincides with a substantial increase in NH temperature and PET. The most pronounced increases in deficit occurred for the latitudinal band from 0 to 40°N. These results indicate that global warming has increased the water deficit in the NH and that the increase since 2000 is unprecedented for the 1905 through 2009 period. Additionally, coincident with the increase in deficit near 2000, mean NH runoff also increased due to increases in P. We explain the apparent contradiction of concurrent increases in deficit and increases in runoff.","language":"English","publisher":"SpringerLink","doi":"10.1007/s10584-015-1419-x","usgsCitation":"McCabe, G., and Wolock, D.M., 2015, Increasing Northern Hemisphere water deficit: Climatic Change, v. 132, no. 2, p. 237-249, https://doi.org/10.1007/s10584-015-1419-x.","productDescription":"13 p. ","startPage":"237","endPage":"249","ipdsId":"IP-057419","costCenters":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"links":[{"id":343476,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"132","issue":"2","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2015-05-05","publicationStatus":"PW","scienceBaseUri":"59609db8e4b0d1f9f0594c40","contributors":{"authors":[{"text":"McCabe, Gregory J. 0000-0002-9258-2997 gmccabe@usgs.gov","orcid":"https://orcid.org/0000-0002-9258-2997","contributorId":167116,"corporation":false,"usgs":true,"family":"McCabe","given":"Gregory J.","email":"gmccabe@usgs.gov","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":false,"id":703867,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wolock, David M. 0000-0002-6209-938X dwolock@usgs.gov","orcid":"https://orcid.org/0000-0002-6209-938X","contributorId":540,"corporation":false,"usgs":true,"family":"Wolock","given":"David","email":"dwolock@usgs.gov","middleInitial":"M.","affiliations":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true},{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true},{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true},{"id":27111,"text":"National Water Quality Program","active":true,"usgs":true},{"id":503,"text":"Office of Water Quality","active":true,"usgs":true}],"preferred":true,"id":703868,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70157597,"text":"70157597 - 2015 - Monitoring gas emissions can help forecast volcanic eruptions","interactions":[],"lastModifiedDate":"2015-09-29T18:27:50","indexId":"70157597","displayToPublicDate":"2015-09-29T17:15:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3879,"text":"Eos, Earth and Space Science News","active":true,"publicationSubtype":{"id":10}},"title":"Monitoring gas emissions can help forecast volcanic eruptions","docAbstract":"

As magma ascends in active volcanoes, dissolved volatiles partition from melt into a gas phase, rise, and are released into the atmosphere from volcanic vents. The major components of high-temperature volcanic gas are typically water vapor, carbon dioxide, and sulfur dioxide. 

\n

Volcanologists have long recognized that measuring the chemical composition and emission rates of these discharged volatiles can help them understand the physical and chemical processes occurring within volcanic systems. However, in the past, continuous monitoring of gas emissions has been difficult because of the remote locations of many active volcanoes and the harsh environmental conditions at these sites.

\n

In late April, 40 scientists collaborating in the Network for Observation of Volcanic and Atmospheric Change (NOVAC) gathered for the first time in 5 years. The meeting, held on Turrialba Volcano in Costa Rica, was intended to provide a platform for the exchange of experiences with NOVAC instrumentation, spectral evaluation, and data interpretation.

\n

 

","language":"English","publisher":"American Geophysical Union","publisherLocation":"Washington, DC","doi":"10.1029/2015EO034081","usgsCitation":"Kern, C., de Moor, J.M., and Bo Galle, 2015, Monitoring gas emissions can help forecast volcanic eruptions: Eos, Earth and Space Science News, v. 96, no. 17, p. 6-6, https://doi.org/10.1029/2015EO034081.","productDescription":"1 p.","startPage":"6","endPage":"6","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-065812","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":471761,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2015eo034081","text":"Publisher Index Page"},{"id":309053,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"96","issue":"17","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"560ba842e4b058f706e53a9a","contributors":{"authors":[{"text":"Kern, Christoph 0000-0002-8920-5701 ckern@usgs.gov","orcid":"https://orcid.org/0000-0002-8920-5701","contributorId":3387,"corporation":false,"usgs":true,"family":"Kern","given":"Christoph","email":"ckern@usgs.gov","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":573732,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"de Moor, J. Maarten","contributorId":148063,"corporation":false,"usgs":false,"family":"de Moor","given":"J.","email":"","middleInitial":"Maarten","affiliations":[{"id":16987,"text":"OVSICORI, Costa Rica","active":true,"usgs":false}],"preferred":false,"id":573733,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bo Galle","contributorId":148064,"corporation":false,"usgs":false,"family":"Bo Galle","affiliations":[{"id":16988,"text":"Chalmers University of Technology, Sweden","active":true,"usgs":false}],"preferred":false,"id":573734,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70157598,"text":"70157598 - 2015 - Application of a coupled vegetation competition and groundwater simulation model to study effects of sea level rise and storm surges on coastal vegetation","interactions":[],"lastModifiedDate":"2015-09-29T18:14:51","indexId":"70157598","displayToPublicDate":"2015-09-29T17:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2380,"text":"Journal of Marine Science and Engineering","active":true,"publicationSubtype":{"id":10}},"title":"Application of a coupled vegetation competition and groundwater simulation model to study effects of sea level rise and storm surges on coastal vegetation","docAbstract":"

Global climate change poses challenges to areas such as low-lying coastal zones, where sea level rise (SLR) and storm-surge overwash events can have long-term effects on vegetation and on soil and groundwater salinities, posing risks of habitat loss critical to native species. An early warning system is urgently needed to predict and prepare for the consequences of these climate-related impacts on both the short-term dynamics of salinity in the soil and groundwater and the long-term effects on vegetation. For this purpose, the U.S. Geological Survey’s spatially explicit model of vegetation community dynamics along coastal salinity gradients (MANHAM) is integrated into the USGS groundwater model (SUTRA) to create a coupled hydrology–salinity–vegetation model, MANTRA. In MANTRA, the uptake of water by plants is modeled as a fluid mass sink term. Groundwater salinity, water saturation and vegetation biomass determine the water available for plant transpiration. Formulations and assumptions used in the coupled model are presented. MANTRA is calibrated with salinity data and vegetation pattern for a coastal area of Florida Everglades vulnerable to storm surges. A possible regime shift at that site is investigated by simulating the vegetation responses to climate variability and disturbances, including SLR and storm surges based on empirical information.

","language":"English","publisher":"MDPI AG","publisherLocation":"Basel, Germany","doi":"10.3390/jmse3041149","usgsCitation":"Teh, S., Turtora, M., DeAngelis, D.L., Jiang Jiang, Pearlstine, L.G., Smith, T.J., and Koh, H.L., 2015, Application of a coupled vegetation competition and groundwater simulation model to study effects of sea level rise and storm surges on coastal vegetation: Journal of Marine Science and Engineering, v. 3, no. 4, p. 1149-1177, https://doi.org/10.3390/jmse3041149.","productDescription":"29 p.","startPage":"1149","endPage":"1177","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-063605","costCenters":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"links":[{"id":471762,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/jmse3041149","text":"Publisher Index Page"},{"id":309044,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"3","issue":"4","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationDate":"2015-09-25","publicationStatus":"PW","scienceBaseUri":"560ba828e4b058f706e53a41","contributors":{"authors":[{"text":"Teh, Su Yean","contributorId":118102,"corporation":false,"usgs":true,"family":"Teh","given":"Su Yean","affiliations":[],"preferred":false,"id":573736,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Turtora, Michael mturtora@usgs.gov","contributorId":4260,"corporation":false,"usgs":true,"family":"Turtora","given":"Michael","email":"mturtora@usgs.gov","affiliations":[{"id":270,"text":"FLWSC-Tampa","active":true,"usgs":true}],"preferred":true,"id":573737,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"DeAngelis, Donald L. 0000-0002-1570-4057 don_deangelis@usgs.gov","orcid":"https://orcid.org/0000-0002-1570-4057","contributorId":148065,"corporation":false,"usgs":true,"family":"DeAngelis","given":"Donald","email":"don_deangelis@usgs.gov","middleInitial":"L.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"preferred":true,"id":573735,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Jiang Jiang","contributorId":148066,"corporation":false,"usgs":false,"family":"Jiang Jiang","affiliations":[{"id":16989,"text":"University of Tennessee, Knoxville, TN","active":true,"usgs":false}],"preferred":false,"id":573738,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Pearlstine, Leonard G.","contributorId":34751,"corporation":false,"usgs":false,"family":"Pearlstine","given":"Leonard","email":"","middleInitial":"G.","affiliations":[{"id":12462,"text":"U.S. Department of the Interior, National Park Service","active":true,"usgs":false}],"preferred":false,"id":573739,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Smith, Thomas J. tom_j_smith@usgs.gov","contributorId":139562,"corporation":false,"usgs":true,"family":"Smith","given":"Thomas","email":"tom_j_smith@usgs.gov","middleInitial":"J.","affiliations":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"preferred":true,"id":573740,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Koh, Hock Lye","contributorId":119022,"corporation":false,"usgs":true,"family":"Koh","given":"Hock","email":"","middleInitial":"Lye","affiliations":[],"preferred":false,"id":573741,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70154999,"text":"tm2A13 - 2015 - Environmental DNA sampling protocol - filtering water to capture DNA from aquatic organisms","interactions":[],"lastModifiedDate":"2017-11-22T15:54:39","indexId":"tm2A13","displayToPublicDate":"2015-09-29T17:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":335,"text":"Techniques and Methods","code":"TM","onlineIssn":"2328-7055","printIssn":"2328-7047","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2-A13","title":"Environmental DNA sampling protocol - filtering water to capture DNA from aquatic organisms","docAbstract":"

Environmental DNA (eDNA) analysis is an effective method of determining the presence of aquatic organisms such as fish, amphibians, and other taxa. This publication is meant to guide researchers and managers in the collection, concentration, and preservation of eDNA samples from lentic and lotic systems. A sampling workflow diagram and three sampling protocols are included as well as a list of suggested supplies. Protocols include filter and pump assembly using: (1) a hand-driven vacuum pump, ideal for sample collection in remote sampling locations where no electricity is available and when equipment weight is a primary concern; (2) a peristaltic pump powered by a rechargeable battery-operated driver/drill, suitable for remote sampling locations when weight consideration is less of a concern; (3) a 120-volt alternating current (AC) powered peristaltic pump suitable for any location where 120-volt AC power is accessible, or for roadside sampling locations. Images and detailed descriptions are provided for each step in the sampling and preservation process.

","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"Section A: Biological science in Book 2: Collection of Environmental Data","largerWorkSubtype":{"id":5,"text":"USGS Numbered Series"},"language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/tm2A13","collaboration":"Prepared in cooperation with Washington State University","usgsCitation":"Laramie, M.B., Pilliod, D.S., Goldberg, C.S., and Strickler, K.M., 2015, Environmental DNA sampling protocol—Filtering water to capture DNA from aquatic organisms: U.S. Geological Survey Techniques and Methods, book 2, chap. A13, 15 p., https://dx.doi.org/10.3133/tm2A13.","productDescription":"iv, 15 p.","numberOfPages":"23","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-062044","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":308858,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/tm/02/a13/coverthumb.jpg"},{"id":308824,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/tm/02/a13/tm2a13.pdf","text":"Report","size":"1.4 MB","linkFileType":{"id":1,"text":"pdf"},"description":"TM 2-A13"}],"publicComments":"This report is Chapter 13 of Section A: Biological science in Book 2 Collection of Environmental Data.","contact":"

Director, Forest and Rangeland Ecosystem Science Center
U.S. Geological Survey
777 NW 9th St., Suite 400
Corvallis, Oregon 97330
http://fresc.usgs.gov

","tableOfContents":"","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"publishedDate":"2015-09-29","noUsgsAuthors":false,"publicationDate":"2015-09-29","publicationStatus":"PW","scienceBaseUri":"560ba834e4b058f706e53a6a","contributors":{"authors":[{"text":"Laramie, Matthew B. mlaramie@usgs.gov","contributorId":5627,"corporation":false,"usgs":true,"family":"Laramie","given":"Matthew","email":"mlaramie@usgs.gov","middleInitial":"B.","affiliations":[{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true}],"preferred":false,"id":564531,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pilliod, David S. dpilliod@usgs.gov","contributorId":140097,"corporation":false,"usgs":true,"family":"Pilliod","given":"David S.","email":"dpilliod@usgs.gov","affiliations":[{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true}],"preferred":false,"id":564530,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Goldberg, Caren S.","contributorId":76879,"corporation":false,"usgs":false,"family":"Goldberg","given":"Caren","email":"","middleInitial":"S.","affiliations":[{"id":5132,"text":"Washington State University, Pullman","active":true,"usgs":false}],"preferred":false,"id":564532,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Strickler, Katherine M.","contributorId":139065,"corporation":false,"usgs":false,"family":"Strickler","given":"Katherine","email":"","middleInitial":"M.","affiliations":[{"id":5127,"text":"Washington State University, P.O. Box 644236, Pullman, WA 99164","active":true,"usgs":false}],"preferred":false,"id":564533,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70159919,"text":"70159919 - 2015 - Declining Dioxin concentrations in the Rhone River, France, attest to the effectiveness of emissions controls","interactions":[],"lastModifiedDate":"2015-12-04T16:41:35","indexId":"70159919","displayToPublicDate":"2015-09-29T00:00:00","publicationYear":"2015","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":"Declining Dioxin concentrations in the Rhone River, France, attest to the effectiveness of emissions controls","docAbstract":"

Emission-control policies have been implemented in Europe and North America since the 1990s for polychlorodibenzodioxins (PCDDs) and furans (PCDFs). To assess the effect of these policies on temporal trends and spatial patterns for these compounds in a large European river system, sediment cores were collected in seven depositional areas along the Rhone River in France, dated, and analyzed for PCDDs and PCDFs. Results show concentrations increase in the downstream direction and have decreased temporally at all sites during the last two decades, with an average decrease of 83% from 1992 to 2010. The time for a 50% decrease in concentrations (t1/2) averaged 6.9 ± 2.6 and 9.1 ± 2.9 years for the sum of measured PCDDs and PCDFs, respectively. Congener patterns are similar among cores and indicate dominance of regional atmospheric deposition and possibly weathered local sources. Local sources are clearly indicated at the most downstream site, where concentrations of the most toxic dioxin, TCDD, are about 2 orders of magnitude higher than at the other six sites. The relatively steep downward trends attest to the effects of the dioxin emissions reduction policy in Europe and suggest that risks posed to aquatic life in the Rhone River basin from dioxins and furans have been greatly reduced.

","language":"English","publisher":"ACS publications","doi":"10.1021/acs.est.5b03416","collaboration":"none","usgsCitation":"Van Metre, P., Babut, M., Mourier, B., Mahler, B., Roux, G., and Desmet, M., 2015, Declining Dioxin concentrations in the Rhone River, France, attest to the effectiveness of emissions controls: Environmental Science & Technology, v. 49, no. 21, p. 12723-12730, https://doi.org/10.1021/acs.est.5b03416.","productDescription":"8 p.","startPage":"12723","endPage":"12730","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-062444","costCenters":[{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true}],"links":[{"id":311959,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"France","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n 4.8065185546875,\n 43.337164854911094\n ],\n [\n 4.592285156249999,\n 43.59630591596548\n ],\n [\n 4.592285156249999,\n 43.90185050527358\n ],\n [\n 4.592285156249999,\n 44.32384807250689\n ],\n [\n 4.6746826171875,\n 45.29421101337773\n ],\n [\n 4.7625732421875,\n 45.68123916702059\n ],\n [\n 4.81201171875,\n 45.78093290857323\n ],\n [\n 4.91912841796875,\n 45.826885387845664\n ],\n [\n 5.16632080078125,\n 45.83071305019327\n ],\n [\n 5.29815673828125,\n 45.87088761346192\n ],\n [\n 5.372314453125,\n 45.907211023476776\n ],\n [\n 5.55908203125,\n 45.769438866203934\n ],\n [\n 5.60028076171875,\n 45.719603972998634\n ],\n [\n 5.63873291015625,\n 45.685076832233\n ],\n [\n 5.69915771484375,\n 45.80008438131991\n ],\n [\n 5.77606201171875,\n 46.010316293096196\n ],\n [\n 5.80078125,\n 46.10180436619509\n ],\n [\n 6.04522705078125,\n 46.219752144776876\n ],\n [\n 6.1248779296875,\n 46.21785176740299\n ],\n [\n 6.15509033203125,\n 46.18363372751015\n ],\n [\n 5.968322753906249,\n 46.086566879725034\n ],\n [\n 5.86395263671875,\n 46.02938880791639\n ],\n [\n 5.817260742187499,\n 45.77135470445036\n ],\n [\n 5.72113037109375,\n 45.625563438215956\n ],\n [\n 5.597534179687499,\n 45.583289756006316\n ],\n [\n 5.38055419921875,\n 45.80008438131991\n ],\n [\n 5.204772949218749,\n 45.73685954736049\n ],\n [\n 5.0592041015625,\n 45.761774855141226\n ],\n [\n 4.88067626953125,\n 45.6658858736546\n ],\n [\n 4.88616943359375,\n 45.45820413751095\n ],\n [\n 4.85321044921875,\n 45.22461173085719\n ],\n [\n 4.866943359375,\n 45.04635929200553\n ],\n [\n 4.9163818359375,\n 44.904523389609324\n ],\n [\n 4.864196777343749,\n 44.758436211143476\n ],\n [\n 4.78179931640625,\n 44.56699093657141\n ],\n [\n 4.7515869140625,\n 44.25700308645885\n ],\n [\n 4.77081298828125,\n 44.156592967556605\n ],\n [\n 4.8504638671875,\n 44.04614157509524\n ],\n [\n 4.90814208984375,\n 43.95130472827632\n ],\n [\n 4.74609375,\n 43.830564195198264\n ],\n [\n 4.669189453125,\n 43.7492731811147\n ],\n [\n 4.7406005859375,\n 43.602272978692746\n ],\n [\n 4.888916015625,\n 43.35514118114017\n ],\n [\n 4.8065185546875,\n 43.337164854911094\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"49","issue":"21","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2015-10-19","publicationStatus":"PW","scienceBaseUri":"5662c745e4b06a3ea36c67b6","contributors":{"authors":[{"text":"Van Metre, Peter C. pcvanmet@usgs.gov","contributorId":486,"corporation":false,"usgs":true,"family":"Van Metre","given":"Peter C.","email":"pcvanmet@usgs.gov","affiliations":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"preferred":false,"id":581044,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Babut, Marc","contributorId":86210,"corporation":false,"usgs":true,"family":"Babut","given":"Marc","email":"","affiliations":[],"preferred":false,"id":581045,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mourier, Brice","contributorId":12728,"corporation":false,"usgs":true,"family":"Mourier","given":"Brice","email":"","affiliations":[],"preferred":false,"id":581046,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Mahler, Barbara 0000-0002-9150-9552 bjmahler@usgs.gov","orcid":"https://orcid.org/0000-0002-9150-9552","contributorId":1249,"corporation":false,"usgs":true,"family":"Mahler","given":"Barbara","email":"bjmahler@usgs.gov","affiliations":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true},{"id":37277,"text":"WMA - 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This report presents the results of a cooperative study by the U.S. Geological Survey and the Oklahoma Department of Transportation to estimate the magnitude and frequency of peak streamflows from regional regression equations for ungaged stream sites in and near the Oklahoma Panhandle. These methods relate basin characteristics (physiographic and climatic attributes) to selected peak streamflow frequency statistics with the 50-, 20-, 10-, 4-, 2-, 1-, and 0.2-percent annual exceedance probabilities. These relations were developed based on data from 32 selected streamflow-gaging stations in the Oklahoma Panhandle and in neighboring parts of Colorado, Kansas, New Mexico, and Texas. The basin characteristics for the selected streamflow-gaging stations were determined by using a geographic information system and the Oklahoma StreamStats application. Peak-streamflow frequency statistics were computed from annual peak-streamflow records from the irrigated period of record from water year 1978 through water year 2014.

\n

Generalized-least-squares multiple-linear regression analysis was used to formulate regression relations between peak-streamflow frequency statistics and basin characteristics. Contributing drainage area was the only basin characteristic determined to be statistically significant for all percentage of annual exceedance probabilities and was the only basin characteristic used in regional regression equations for estimating peak-streamflow frequency statistics on unregulated streams in and near the Oklahoma Panhandle. The regression model pseudo-coefficient of determination, converted to percent, for the Oklahoma Panhandle regional regression equations ranged from about 38 to 63 percent. The standard errors of prediction and the standard model errors for the Oklahoma Panhandle regional regression equations ranged from about 84 to 148 percent and from about 76 to 138 percent, respectively. These errors were comparable to those reported for regional peak-streamflow frequency regression equations for the High Plains areas of Texas and Colorado. The root mean square errors for the Oklahoma Panhandle regional regression equations (ranging from 3,170 to 92,000 cubic feet per second) were less than the root mean square errors for the Oklahoma statewide regression equations (ranging from 18,900 to 412,000 cubic feet per second); therefore, the Oklahoma Panhandle regional regression equations produce more accurate peak-streamflow statistic estimates for the irrigated period of record in the Oklahoma Panhandle than do the Oklahoma statewide regression equations. The regression equations developed in this report are applicable to streams that are not substantially affected by regulation, impoundment, or surface-water withdrawals. These regression equations are intended for use for stream sites with contributing drainage areas less than or equal to about 2,060 square miles, the maximum value for the independent variable used in the regression analysis.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20155134","collaboration":"Prepared in cooperation with the Oklahoma Department of Transportation","usgsCitation":"Smith, S.J., Lewis, J.M., and Graves, G.M., 2015, Methods for estimating the magnitude and frequency of peak streamflows at ungaged sites in and near the Oklahoma Panhandle: U.S. Geological Survey Scientific Investigations Report 2015–5134, 35 p., https://dx.doi.org/10.3133/sir20155134.","productDescription":"vi, 35 p.","numberOfPages":"44","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-066906","costCenters":[{"id":516,"text":"Oklahoma Water Science Center","active":true,"usgs":true}],"links":[{"id":308637,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2015/5134/sir20155134.pdf","text":"Report","size":"5.52 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2015-5134"},{"id":308636,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2015/5134/coverthb.jpg"}],"country":"United States","state":"Colorado, Kansas, New Mexico, Oklahoma, Texas","otherGeospatial":"Oklahoma Panhandle","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -104.23828125,\n 35.10193405724606\n ],\n [\n -104.23828125,\n 38.8225909761771\n ],\n [\n -98.3056640625,\n 38.8225909761771\n ],\n [\n -98.3056640625,\n 35.10193405724606\n ],\n [\n -104.23828125,\n 35.10193405724606\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"

Director, Oklahoma Water Science Center
U.S. Geological Survey
202 NW 66th, Bldg 7
Oklahoma City, OK 73116
http://ok.water.usgs.gov/

","tableOfContents":"","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"publishedDate":"2015-09-28","noUsgsAuthors":false,"publicationDate":"2015-09-28","publicationStatus":"PW","scienceBaseUri":"560a56aee4b058f706e536a0","contributors":{"authors":[{"text":"Smith, S. Jerrod 0000-0002-9379-8167 sjsmith@usgs.gov","orcid":"https://orcid.org/0000-0002-9379-8167","contributorId":981,"corporation":false,"usgs":true,"family":"Smith","given":"S.","email":"sjsmith@usgs.gov","middleInitial":"Jerrod","affiliations":[{"id":516,"text":"Oklahoma Water Science Center","active":true,"usgs":true}],"preferred":true,"id":572241,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lewis, Jason M. 0000-0001-5337-1890 jmlewis@usgs.gov","orcid":"https://orcid.org/0000-0001-5337-1890","contributorId":3854,"corporation":false,"usgs":true,"family":"Lewis","given":"Jason","email":"jmlewis@usgs.gov","middleInitial":"M.","affiliations":[{"id":516,"text":"Oklahoma Water Science Center","active":true,"usgs":true}],"preferred":true,"id":572242,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Graves, Grant M. ggraves@usgs.gov","contributorId":147644,"corporation":false,"usgs":true,"family":"Graves","given":"Grant M.","email":"ggraves@usgs.gov","affiliations":[{"id":516,"text":"Oklahoma Water Science Center","active":true,"usgs":true}],"preferred":false,"id":572243,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70157497,"text":"70157497 - 2015 - Population dynamics of the Cui-ui of Pyramid Lake, Nevada: A Potamodromous catostomid subject to failed reproduction","interactions":[],"lastModifiedDate":"2019-12-12T06:31:17","indexId":"70157497","displayToPublicDate":"2015-09-28T12:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2886,"text":"North American Journal of Fisheries Management","active":true,"publicationSubtype":{"id":10}},"title":"Population dynamics of the Cui-ui of Pyramid Lake, Nevada: A Potamodromous catostomid subject to failed reproduction","docAbstract":"

Fishes of the Truckee River basin (California and Nevada) evolved in an aquatic system that has been episodically diminished by extended drought. For potamodromous species, such as the endangered Cui-ui endemic to Pyramid Lake, Nevada, prehistoric episodic severe drought presumably led to periods of failed reproduction due to restricted access to spawning habitat. The response of the Cui-ui population to more recent failed reproduction caused by anthropogenic activity was studied to learn how to manage this species through periods of spawning disruption. Adult Cui-ui survival averaged 91% and 89% for females and males, respectively, in drought years when spawning migrations were either precluded or few fish migrated because of no or low stream flow. In each of 2 years when stream access was precluded, the adult survival was nearly 100% suggesting that Cui-ui survival is extended in the absence of a spawning migration. Survival averaged 62% and 60% for females and males, respectively, in years of spawning migrations. Strong predominant year-classes developed in the year immediately following a period of failed reproduction, indicating the species’ capacity for population rebound. Year-class predominance persisted for 6–10 years and through years of low survival associated with migration years, and this predominance is probably due, in part, to a diverse age at maturity. Contemporary water diversions from the Truckee River provided the opportunity to study the response of the Cui-ui population to years of failed reproduction. A projected drier Truckee River basin associated with global climate change will test the Cui-ui’s adaptive capacity to endure periods of reproductive failure. This study is aimed at assisting Cui-ui managers in conserving the species in this highly regulated and changing system. The study also adds insight into the prehistoric population dynamics of a potamodromous species in the arid western United States subject to wide fluctuations in annual precipitation and water availability.

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