Biological samples from various locations on Lake Powell and in the Colorado River in the tail water downstream of Glen Canyon Dam were collected by the Bureau of Reclamation and U.S. Geological Survey from December 1990 through December 2009 as part of a long-term water-quality monitoring program that began in 1964. These samples consisted of discrete (1-m deep) chlorophyll samples, discrete (1-m deep) wholewater phytoplankton samples, and 30-m vertically composited zooplankton samples filtered through an 80-µm plankton net. Chlorophyll concentration was determined by acetone extraction followed by trichromatic spectroscopy on 2,051 samples. Phytoplankton analysis consisted of identification to the genus or species level, enumeration, and estimation of biovolume on 1,397 samples. Phytoplankton analysis identified 646 different phytoplankton taxa. Zooplankton analysis consisted of identification to the genus or species level, enumeration, and estimation of biomass from 1,898 samples. Zooplankton analysis identified 114 different zooplankton taxa.
\nThe results of these analyses are presented in this report. From this record, further interpretation may be made concerning primary and secondary production in Lake Powell. These data provide a linkage between physical and chemical water-quality data and fisheries investigations in Lake Powell. They also provide information regarding the export of biological material from Glen Canyon Dam.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds959","collaboration":"Prepared in cooperation with Bureau of Reclamation","usgsCitation":"Vernieu, W.S., 2015, Biological data for water in Lake Powell and from Glen Canyon Dam releases, Utah and Arizona, 1990–2009: U.S. Geological Survey Data Series 959, 12 p., https://dx.doi.org/10.3133/ds959.","productDescription":"v, 12 p.","numberOfPages":"22","onlineOnly":"Y","additionalOnlineFiles":"N","temporalStart":"1990-12-01","temporalEnd":"2009-12-31","ipdsId":"IP-041385","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":309706,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/ds/0959/coverthb.jpg"},{"id":309707,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/ds/0959/ds959.pdf","text":"Report","size":"500 KB","linkFileType":{"id":1,"text":"pdf"},"description":"DS 959 PDF"}],"country":"United States","state":"Utah, Arizona","otherGeospatial":"Lake Powell, Colorado River, Glen Canyon Dam","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -112.1,\n 36.5\n ],\n [\n -112.1,\n 38.1\n ],\n [\n -109.8,\n 38.1\n ],\n [\n -109.8,\n 36.5\n ],\n [\n -112.1,\n 36.5\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"SBSC Staff, Southwest Biological Science Center
U.S. Geological Survey
2255 N. Gemini Drive
Flagstaff, AZ 86001
http://sbsc.wr.usgs.gov/
The Central Valley in California (USA) covers about 52,000 km2 and is one of the most productive agricultural regions in the world. This agriculture relies heavily on surface-water diversions and groundwater pumpage to meet irrigation water demand. Because the valley is semi-arid and surface-water availability varies substantially, agriculture relies heavily on local groundwater. In the southern two thirds of the valley, the San Joaquin Valley, historic and recent groundwater pumpage has caused significant and extensive drawdowns, aquifer-system compaction and subsidence. During recent drought periods (2007-2009 and 2012-present), groundwater pumping has increased owing to a combination of decreased surface-water availability and land-use changes. Declining groundwater levels, approaching or surpassing historical low levels, have caused accelerated and renewed compaction and subsidence that likely is mostly permanent. The subsidence has caused operational, maintenance, and construction-design problems for water-delivery and floodcontrol canals in the San Joaquin Valley. Planning for the effects of continued subsidence in the area is important for water agencies. As land use, managed aquifer recharge, and surface-water availability continue to vary, long-term groundwater- level and subsidence monitoring and modelling are critical to understanding the dynamics of historical and continued groundwater use resulting in additional water-level and groundwater storage declines, and associated subsidence. Modeling tools such as the Central Valley Hydrologic Model, can be used in the evaluation of management strategies to mitigate adverse impacts due to subsidence while also optimizing water availability. This knowledge will be critical for successful implementation of recent legislation aimed toward sustainable groundwater use.
","language":"English","publisher":"University of California at Davis","doi":"10.1007/s10040-015-1339-x","usgsCitation":"Faunt, C.C., Sneed, M., Traum, J.A., and Brandt, J.T., 2015, Water availability and subsidence in California's Central Valley: San Francisco Estuary and Watershed Science, v. 13, no. 3, 8 p., https://doi.org/10.1007/s10040-015-1339-x.","productDescription":"8 p.","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-068386","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":471729,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s10040-015-1339-x","text":"Publisher Index Page"},{"id":381504,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Central Valley","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -122.05810546875,\n 40.70562793820589\n ],\n [\n -122.86010742187499,\n 40.38839687388361\n ],\n [\n -121.95922851562501,\n 37.93553306183642\n ],\n [\n -119.54223632812501,\n 35.074964853989556\n ],\n [\n -118.740234375,\n 35.0120020431607\n ],\n [\n -118.740234375,\n 36.10237644873644\n ],\n [\n -120.728759765625,\n 38.25543637637947\n ],\n [\n -122.05810546875,\n 40.70562793820589\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"13","issue":"3","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationDate":"2015-11-17","publicationStatus":"PW","scienceBaseUri":"5614e2afe4b0ba4884c611a8","contributors":{"authors":[{"text":"Faunt, Claudia C. ccfaunt@usgs.gov","contributorId":149018,"corporation":false,"usgs":true,"family":"Faunt","given":"Claudia","email":"ccfaunt@usgs.gov","middleInitial":"C.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":false,"id":576574,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sneed, Michelle 0000-0002-8180-382X micsneed@usgs.gov","orcid":"https://orcid.org/0000-0002-8180-382X","contributorId":149052,"corporation":false,"usgs":true,"family":"Sneed","given":"Michelle","email":"micsneed@usgs.gov","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":false,"id":576575,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Traum, Jonathan A. 0000-0002-4787-3680 jtraum@usgs.gov","orcid":"https://orcid.org/0000-0002-4787-3680","contributorId":4780,"corporation":false,"usgs":true,"family":"Traum","given":"Jonathan","email":"jtraum@usgs.gov","middleInitial":"A.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":807111,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Brandt, Justin T. 0000-0002-9397-6824 jbrandt@usgs.gov","orcid":"https://orcid.org/0000-0002-9397-6824","contributorId":157,"corporation":false,"usgs":true,"family":"Brandt","given":"Justin","email":"jbrandt@usgs.gov","middleInitial":"T.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":807112,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70158673,"text":"70158673 - 2015 - Classification of rocky headlands in California with relevance to littoral cell boundary delineation","interactions":[],"lastModifiedDate":"2016-10-04T09:21:26","indexId":"70158673","displayToPublicDate":"2015-10-05T13:15:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2667,"text":"Marine Geology","active":true,"publicationSubtype":{"id":10}},"title":"Classification of rocky headlands in California with relevance to littoral cell boundary delineation","docAbstract":"Despite extensive studies of hydrodynamics and sediment flux along beaches, there is little information on the processes, pathways and timing of water and sediment transport around rocky headlands. In this study, headlands along the California coast are classified to advance understanding of headland dynamics and littoral cell boundaries in support of improved coastal management decisions. Geomorphological parameters for 78 headlands were quantified from geological maps, remote-sensing imagery, navigational charts, and shoreline geospatial databases. K-means cluster analysis grouped the headlands into eight distinct classes based on headland perimeter, bathymetric slope ratio, and the headland apex angle. Wave data were used to investigate the potential for sediment transport around the headland types and determine the efficacy of the headland as a littoral cell boundary. Four classes of headland appear to function well as littoral cell boundaries, with headland size (e.g., perimeter or area) and a marked change in nearshore bathymetry across the headland being relevant attributes. About half of the traditional California littoral cell boundaries align with headland classes that are expected to perform poorly in blocking alongshore sediment transport, calling into question these boundaries. Better definition of these littoral cell boundaries is important for regional sediment management decisions.
","language":"English","publisher":"Elsevier Science Direct","publisherLocation":"Amsterdam, Netherlands","doi":"10.1016/j.margeo.2015.08.010","collaboration":"University of California at Davis","usgsCitation":"George, D.A., Largier, J.L., Storlazzi, C., and Barnard, P.L., 2015, Classification of rocky headlands in California with relevance to littoral cell boundary delineation: Marine Geology, v. 369, p. 137-152, https://doi.org/10.1016/j.margeo.2015.08.010.","productDescription":"16 p.","startPage":"137","endPage":"152","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-062540","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":309565,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -124.18945312500001,\n 41.0130657870063\n ],\n [\n -123.79394531249999,\n 40.16208338164619\n ],\n [\n -122.71728515624999,\n 38.16911413556086\n ],\n [\n -121.59667968749999,\n 38.151837403006766\n ],\n [\n -121.61865234375,\n 36.43896124085945\n ],\n [\n -120.78369140624999,\n 35.496456056584165\n ],\n [\n -120.1904296875,\n 34.813803317113155\n ],\n [\n -119.17968749999999,\n 34.470335121217495\n ],\n [\n -118.10302734374999,\n 34.10725639663118\n ],\n [\n -117.09228515624999,\n 32.91648534731439\n ],\n [\n -116.98242187499999,\n 32.491230287947594\n ],\n [\n -117.44384765625,\n 32.194208672875355\n ],\n [\n -119.28955078124999,\n 32.713355353177555\n ],\n [\n -122.82714843749999,\n 37.055177106660814\n ],\n [\n -124.07958984375001,\n 38.94232097947902\n ],\n [\n -124.91455078125,\n 40.59727063442027\n ],\n [\n -124.18945312500001,\n 41.0130657870063\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"369","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"56139122e4b0ba4884c60f60","contributors":{"authors":[{"text":"George, Douglas A.","contributorId":60328,"corporation":false,"usgs":true,"family":"George","given":"Douglas","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":576438,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Largier, John L.","contributorId":175121,"corporation":false,"usgs":false,"family":"Largier","given":"John","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":576439,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Storlazzi, Curt D. 0000-0001-8057-4490 cstorlazzi@usgs.gov","orcid":"https://orcid.org/0000-0001-8057-4490","contributorId":2333,"corporation":false,"usgs":true,"family":"Storlazzi","given":"Curt D.","email":"cstorlazzi@usgs.gov","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":576437,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Barnard, Patrick L. 0000-0003-1414-6476 pbarnard@usgs.gov","orcid":"https://orcid.org/0000-0003-1414-6476","contributorId":140982,"corporation":false,"usgs":true,"family":"Barnard","given":"Patrick","email":"pbarnard@usgs.gov","middleInitial":"L.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":576440,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70158674,"text":"70158674 - 2015 - Many atolls may be uninhabitable within decades due to climate change","interactions":[],"lastModifiedDate":"2015-10-05T13:32:53","indexId":"70158674","displayToPublicDate":"2015-10-05T13:15:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3358,"text":"Scientific Reports","active":true,"publicationSubtype":{"id":10}},"title":"Many atolls may be uninhabitable within decades due to climate change","docAbstract":"Observations show global sea level is rising due to climate change, with the highest rates in the tropical Pacific Ocean where many of the world’s low-lying atolls are located. Sea-level rise is particularly critical for low-lying carbonate reef-lined atoll islands; these islands have limited land and water available for human habitation, water and food sources, and ecosystems that are vulnerable to inundation from sea-level rise. Here we demonstrate that sea-level rise will result in larger waves and higher wave-driven water levels along atoll islands’ shorelines than at present. Numerical model results reveal waves will synergistically interact with sea-level rise, causing twice as much land forecast to be flooded for a given value of sea-level rise than currently predicted by current models that do not take wave-driven water levels into account. Atolls with islands close to the shallow reef crest are more likely to be subjected to greater wave-induced run-up and flooding due to sea-level rise than those with deeper reef crests farther from the islands’ shorelines. It appears that many atoll islands will be flooded annually, salinizing the limited freshwater resources and thus likely forcing inhabitants to abandon their islands in decades, not centuries, as previously thought.
","language":"English","publisher":"Nature Publishing Group","publisherLocation":"London, United Kingdom","doi":"10.1038/srep14546","collaboration":"Deltares U.S.A., Hawaii Cooperative Studies Unit","usgsCitation":"Storlazzi, C.D., Elias, E.P., and Berkowitz, P., 2015, Many atolls may be uninhabitable within decades due to climate change: Scientific Reports, v. 5, p. 1-9, https://doi.org/10.1038/srep14546.","productDescription":"Art 14546: 9 p.","startPage":"1","endPage":"9","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-063820","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":471730,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1038/srep14546","text":"Publisher Index Page"},{"id":309559,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Hawaii","otherGeospatial":"Midway Atoll, Laysan Island","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -177.33083724975583,\n 28.21986116672942\n ],\n [\n -177.34182357788086,\n 28.213810689875928\n ],\n [\n -177.36448287963867,\n 28.21910487587188\n ],\n [\n -177.37546920776367,\n 28.221978752630008\n ],\n [\n -177.39006042480466,\n 28.217894799357122\n ],\n [\n -177.39967346191406,\n 28.18945405424149\n ],\n [\n -177.38079071044922,\n 28.194598154006137\n ],\n [\n -177.36825942993164,\n 28.197623979398678\n ],\n [\n -177.3625946044922,\n 28.203675373165503\n ],\n [\n -177.352294921875,\n 28.20382665361861\n ],\n [\n -177.32603073120117,\n 28.20231383944811\n ],\n [\n -177.31813430786133,\n 28.20791114488013\n ],\n [\n -177.31985092163086,\n 28.216835971157135\n ],\n [\n -177.33083724975583,\n 28.21986116672942\n ]\n ]\n ]\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -171.7060089111328,\n 25.7989638778495\n ],\n [\n -171.73261642456052,\n 25.732024280088133\n ],\n [\n -171.7624855041504,\n 25.74192073145334\n ],\n [\n -171.7741584777832,\n 25.774696838890705\n ],\n [\n -171.71184539794922,\n 25.800045732089465\n ],\n [\n -171.7060089111328,\n 25.7989638778495\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"5","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2015-09-25","publicationStatus":"PW","scienceBaseUri":"56139123e4b0ba4884c60f66","contributors":{"authors":[{"text":"Storlazzi, Curt D. 0000-0001-8057-4490 cstorlazzi@usgs.gov","orcid":"https://orcid.org/0000-0001-8057-4490","contributorId":140584,"corporation":false,"usgs":true,"family":"Storlazzi","given":"Curt","email":"cstorlazzi@usgs.gov","middleInitial":"D.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true},{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true}],"preferred":true,"id":576452,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Elias, Edwin P.L.","contributorId":47295,"corporation":false,"usgs":true,"family":"Elias","given":"Edwin","email":"","middleInitial":"P.L.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":576453,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Berkowitz, Paul pberkowitz@usgs.gov","contributorId":4642,"corporation":false,"usgs":true,"family":"Berkowitz","given":"Paul","email":"pberkowitz@usgs.gov","affiliations":[],"preferred":true,"id":576454,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70158666,"text":"70158666 - 2015 - Effectiveness of a refuge for Lake Trout in Western Lake Superior II: Simulation of future performance","interactions":[],"lastModifiedDate":"2016-06-01T11:53:35","indexId":"70158666","displayToPublicDate":"2015-10-05T13:15:00","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":"Effectiveness of a refuge for Lake Trout in Western Lake Superior II: Simulation of future performance","docAbstract":"Historically, Lake Superior supported one of the largest and most diverse Lake Trout Salvelinus namaycush fisheries in the Laurentian Great Lakes, but Lake Trout stocks collapsed due to excessive fishery exploitation and predation by Sea Lampreys Petromyzon marinus. Lake Trout stocking, Sea Lamprey control, and fishery regulations, including a refuge encompassing Gull Island Shoal (Apostle Islands region), were used to enable recovery of Lake Trout stocks that used this historically important spawning shoal. Our objective was to determine whether future sustainability of Lake Trout stocks will depend on the presence of the Gull Island Shoal Refuge. We constructed a stochastic age-structured simulation model to assess the effect of maintaining the refuge as a harvest management tool versus removing the refuge. In general, median abundances of age-4, age-4 and older (age-4+), and age-8+ fish collapsed at lower instantaneous fishing mortality rates (F) when the refuge was removed than when the refuge was maintained. With the refuge in place, the F that resulted in collapse depended on the rate of movement into and out of the refuge. Too many fish stayed in the refuge when movement was low (0–2%), and too many fish became vulnerable to fishing when movement was high (≥22%); thus, the refuge was more effective at intermediate rates of movement (10–11%). With the refuge in place, extinction did not occur at any simulated level of F, whereas refuge removal led to extinction at all combinations of commercial F and recreational F. Our results indicate that the Lake Trout population would be sustained by the refuge at all simulated F-values, whereas removal of the refuge would risk population collapse at much lower F (0.700–0.744). Therefore, the Gull Island Shoal Refuge is needed to sustain the Lake Trout population in eastern Wisconsin waters of Lake Superior.
","language":"English","publisher":"American Fisheries Society","publisherLocation":"Lawrence, KS","doi":"10.1080/02755947.2015.1074960","usgsCitation":"Akins, A.L., Hansen, M.J., and Seider, M.J., 2015, Effectiveness of a refuge for Lake Trout in Western Lake Superior II: Simulation of future performance: North American Journal of Fisheries Management, v. 35, no. 5, p. 1003-1018, https://doi.org/10.1080/02755947.2015.1074960.","productDescription":"16 p.","startPage":"1003","endPage":"1018","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-065104","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":309581,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, United States","state":"Michigan, Minnesota, Wisconsin","otherGeospatial":"Lake Superior","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -86.451416015625,\n 48.77067246880509\n ],\n [\n -86.275634765625,\n 48.436489955944154\n ],\n [\n -85.97900390625,\n 47.931066347509784\n ],\n [\n -85.594482421875,\n 47.87214396888731\n ],\n [\n -85.111083984375,\n 47.938426929481054\n ],\n [\n -84.803466796875,\n 47.938426929481054\n ],\n [\n -84.847412109375,\n 47.81315451752768\n ],\n [\n -85.01220703125,\n 47.58393661978137\n ],\n [\n -84.88037109375,\n 47.45037978769006\n ],\n [\n -84.66064453125,\n 47.30903424774781\n ],\n [\n -84.78149414062499,\n 47.05515408550348\n ],\n [\n -84.78149414062499,\n 46.94276208682137\n ],\n [\n -84.451904296875,\n 46.875213396722685\n ],\n [\n -84.55078125,\n 46.717268685073954\n ],\n [\n -84.638671875,\n 46.53619267489863\n ],\n [\n -84.825439453125,\n 46.48326472915561\n ],\n [\n -84.979248046875,\n 46.626806395355175\n ],\n [\n -84.91333007812499,\n 46.7549166192819\n ],\n [\n -85.067138671875,\n 46.800059446787316\n ],\n [\n -85.50659179687499,\n 46.717268685073954\n ],\n [\n -86.06689453125,\n 46.694667307773116\n ],\n [\n -86.561279296875,\n 46.521075663842836\n ],\n [\n -86.8798828125,\n 46.521075663842836\n ],\n [\n -87.07763671875,\n 46.543749602738565\n ],\n [\n -87.374267578125,\n 46.521075663842836\n ],\n [\n -87.703857421875,\n 46.89023157359399\n ],\n [\n -88.231201171875,\n 46.965259400349275\n ],\n [\n -88.428955078125,\n 46.927758623434435\n ],\n [\n -88.26416015625,\n 47.092565552235705\n ],\n [\n -87.86865234374999,\n 47.30903424774781\n ],\n [\n -87.60498046875,\n 47.42065432071321\n ],\n [\n -87.923583984375,\n 47.50978034953473\n ],\n [\n -88.385009765625,\n 47.47266286861342\n ],\n [\n -88.76953125,\n 47.234489635299184\n ],\n [\n -89.483642578125,\n 46.912750956378915\n ],\n [\n -89.967041015625,\n 46.800059446787316\n ],\n [\n -90.4833984375,\n 46.619261036171515\n ],\n [\n -90.692138671875,\n 46.70973594407157\n ],\n [\n -90.94482421875,\n 46.702202151643455\n ],\n [\n -90.758056640625,\n 46.93526088057719\n ],\n [\n -90.94482421875,\n 46.93526088057719\n ],\n [\n -91.3623046875,\n 46.830133640447386\n ],\n [\n -91.845703125,\n 46.73986059969267\n ],\n [\n -92.054443359375,\n 46.7549166192819\n ],\n [\n -92.076416015625,\n 46.807579571992385\n ],\n [\n -91.395263671875,\n 47.16730970131578\n ],\n [\n -90.911865234375,\n 47.53945544742392\n ],\n [\n -90.1318359375,\n 47.80577611936809\n ],\n [\n -89.58251953125,\n 47.96785877999253\n ],\n [\n -89.26391601562499,\n 48.188063481211415\n ],\n [\n -89.23095703125,\n 48.472921272487824\n ],\n [\n -88.9013671875,\n 48.61838518688487\n ],\n [\n -88.43994140625,\n 48.90083790234088\n ],\n [\n -88.22021484375,\n 49.001843917978526\n ],\n [\n -86.451416015625,\n 48.77067246880509\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"35","issue":"5","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationDate":"2015-10-02","publicationStatus":"PW","scienceBaseUri":"56139122e4b0ba4884c60f62","contributors":{"authors":[{"text":"Akins, Andrea L","contributorId":148998,"corporation":false,"usgs":false,"family":"Akins","given":"Andrea","email":"","middleInitial":"L","affiliations":[{"id":17613,"text":"University of Wisconsin - Stevens Point","active":true,"usgs":false}],"preferred":false,"id":576420,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hansen, Michael J. 0000-0001-8522-3876 michaelhansen@usgs.gov","orcid":"https://orcid.org/0000-0001-8522-3876","contributorId":5006,"corporation":false,"usgs":true,"family":"Hansen","given":"Michael","email":"michaelhansen@usgs.gov","middleInitial":"J.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":576419,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Seider, Michael J.","contributorId":19452,"corporation":false,"usgs":true,"family":"Seider","given":"Michael","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":576421,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70157362,"text":"ofr20151176 - 2015 - Preliminary estimates of annual agricultural pesticide use for counties of the conterminous United States, 2013","interactions":[],"lastModifiedDate":"2016-06-29T13:17:10","indexId":"ofr20151176","displayToPublicDate":"2015-10-05T09:45:00","publicationYear":"2015","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2015-1176","title":"Preliminary estimates of annual agricultural pesticide use for counties of the conterminous United States, 2013","docAbstract":"This report provides preliminary estimates of annual agricultural use of 387 pesticide compounds in counties of the conterminous United States in 2013, compiled by means of methods described in Thelin and Stone (2013) and Baker and Stone (2015). U.S. Department of Agriculture county-level data for harvested-crop acreage were used in conjunction with proprietary Crop Reporting District-level pesticide-use data to estimate county-level pesticide use. Where Crop Reporting District data were not available or were incomplete, estimated pesticide use values were calculated with two different methods, resulting in a low and a high estimate based on different assumptions about missing survey data (Thelin and Stone, 2013). Preliminary estimates in this report are expected to be revised upon availability of updated crop acreages in the 2017 Agricultural Census, to be published by the U.S. Department of Agriculture in 2019. Estimates of annual agricultural pesticide use are provided as downloadable, tab-delimited files, which are organized by compound, year, state Federal Information Processing Standard (FIPS) code, county Federal Information Processing Standard code, and amount in kilograms (kg). The files, listed below, are a continuation of the 1992–2009 and 2008–2012 pesticide-use estimates reported by Stone (2013) and Baker and Stone (2015), respectively:
\nHigh estimates of county pesticide use, arranged by pesticide name:
\nTable 1. 1-Methyl Cyclopropene through Chlorantraniliprole
Table 2. Chlorethoxyfos through Diflufenzopyr
Table 3. Dimethenamid through Gibberellic Acid
Table 4. Glufosinate through Metiram
Table 5. Metolachlor through Propazine
Table 6. Propiconazole through Triasulfuron
Table 7. Tribenuron Methyl through Zoxamide
Low estimates of county pesticide use, arranged by pesticide name:
\nTable 8. 1-Methyl Cyclopropene through Chlorantraniliprole
Table 9. Chlorethoxyfos through Diflufenzopyr
Table 10. Dimethenamid through Gibberellic Acid
Table 11. Glufosinate through Metiram
Table 12. Metolachlor through Propazine
Table 13. Propiconazole through Triasulfuron
Table 14. Tribenuron Methyl through Zoxamide
Baker, N.T., and Stone, W.W., 2015, Estimated annual agricultural pesticide use for counties of the conterminous United States, 2008–12: U.S. Geological Survey Data Series 907, 9 p., accessed July, 12, 2015, at http://dx.doi.org/10.3133/ds907.
\nStone, W.W., 2013, Estimated annual agricultural pesticide use for counties of the conterminous United States, 1992–2009: U.S. Geological Survey Data Series 752, 1 p., 14 tables
\nThelin, G.P., and Stone, W.W., 2013, Estimation of annual agricultural pesticide use for counties of the conterminous United States,
1992–2009: U.S. Geological Survey Scientific Investigations Report 2013–5009, 54 p.
Director, Indiana Water Science Center
5957 Lakeside Blvd.
Indianapolis, IN 46278
http://in.water.usgs.gov/
Introduction
\nPesticide-Use Estimates
\nAcknowledgments
\nEmpirical relationships between field-derived Leaf Area Index (LAI) and Leaf Angle Distribution (LAD) and polarimetric synthetic aperture radar (PolSAR) based biophysical indicators were created and applied to map S. alterniflora marsh canopy structure. PolSAR and field data were collected near concurrently in the summers of 2010, 2011, and 2012 in coastal marshes, and PolSAR data alone were acquired in 2009. Regression analyses showed that LAI correspondence with the PolSAR biophysical indicator variables equaled or exceeded those of vegetation water content (VWC) correspondences. In the final six regressor model, the ratio HV/VV explained 49% of the total 77% explained LAI variance, and the HH-VV coherence and phase information accounted for the remainder. HV/HH dominated the two regressor LAD relationship, and spatial heterogeneity and backscatter mechanism followed by coherence information dominated the final three regressor model that explained 74% of the LAD variance. Regression results applied to 2009 through 2012 PolSAR images showed substantial changes in marsh LAI and LAD. Although the direct cause was not substantiated, following a release of freshwater in response to the 2010 Deepwater Horizon oil spill, the fairly uniform interior marsh structure of 2009 was more vertical and dense shortly after the oil spill cessation. After 2010, marsh structure generally progressed back toward the 2009 uniformity; however, the trend was more disjointed in oil impact marshes.
","language":"English","publisher":"Molecular Diversity Preservation International","publisherLocation":"Basel, Switzerland","doi":"10.3390/rs70911295","collaboration":"Amina Rangoonwala USGS, Cathleen E Jones NASA-CalTech","usgsCitation":"Ramsey, E.W., Rangoonwala, A., and Jones, C.E., 2015, Structural classification of marshes with Polarimetric SAR highlighting the temporal mapping of marshes exposed to oil: Remote Sensing, v. 7, no. 9, p. 11295-11321, https://doi.org/10.3390/rs70911295.","productDescription":"27 p.","startPage":"11295","endPage":"11321","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-063104","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":471732,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/rs70911295","text":"Publisher Index Page"},{"id":309543,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Louisiana","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -92.5,\n 29\n ],\n [\n -92.5,\n 30\n ],\n [\n -89.5,\n 30\n ],\n [\n -89.5,\n 29\n ],\n [\n -92.5,\n 29\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"7","issue":"9","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"noUsgsAuthors":false,"publicationDate":"2015-09-02","publicationStatus":"PW","scienceBaseUri":"56139126e4b0ba4884c60f6e","contributors":{"authors":[{"text":"Ramsey, Elijah W. III 0000-0002-4518-5796 ramseye@usgs.gov","orcid":"https://orcid.org/0000-0002-4518-5796","contributorId":2883,"corporation":false,"usgs":true,"family":"Ramsey","given":"Elijah","suffix":"III","email":"ramseye@usgs.gov","middleInitial":"W.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"preferred":false,"id":576455,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rangoonwala, Amina 0000-0002-0556-0598 rangoonwalaa@usgs.gov","orcid":"https://orcid.org/0000-0002-0556-0598","contributorId":3455,"corporation":false,"usgs":true,"family":"Rangoonwala","given":"Amina","email":"rangoonwalaa@usgs.gov","affiliations":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":576456,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Jones, Cathleen E.","contributorId":11890,"corporation":false,"usgs":true,"family":"Jones","given":"Cathleen","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":576457,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70158664,"text":"70158664 - 2015 - Fish assemblages in the Upper Esopus Creek, NY: Current status, variability, and controlling factors","interactions":[],"lastModifiedDate":"2019-12-11T13:20:58","indexId":"70158664","displayToPublicDate":"2015-10-05T09:15:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2898,"text":"Northeastern Naturalist","active":true,"publicationSubtype":{"id":10}},"title":"Fish assemblages in the Upper Esopus Creek, NY: Current status, variability, and controlling factors","docAbstract":"The Upper Esopus Creek receives water diversions from a neighboring basin through the Shandaken Tunnel (the portal) from the Schoharie Reservoir. Although the portal is closed during floods, mean flows and turbidity of portal waters are generally greater than in Esopus Creek above their confluence. These conditions could potentially affect local fish assemblages, yet such effects have not been assessed in this highly regulated stream. We studied water quality, hydrology, temperature, and fish assemblages at 18 sites in the Upper Esopus Creek during 2009–2011 to characterize the effects of the portal input on resident-fish assemblages and to document the status of the fishery resource. In general, fish-community richness increased by 2–3 species at mainstem sites near the portal, and median density and biomass of fish communities at sites downstream of the portal were significantly lower than they were at sites upstream of the portal. Median densities of Salmo trutta (Brown Trout) and all trout species were significantly lower than at mainstem sites downstream from the portal—25.1 fish/0.1 ha and 148.9 fish/0.1 ha, respectively—than at mainstem sites upstream from the portal—68.8 fish/0.1 ha and 357.7 fish/0.1 ha, respectively—yet median biomass for Brown Trout and all trout did not differ between sites from both reaches. The median density of young-of-year Brown Trout at downstream sites (9.3 fish/0.1 ha) was significantly lower than at upstream sites (33.9 fish/0.1 ha). Waters from the portal appeared to adversely affect the density and biomass of young-of-year Brown Trout, but lower temperatures and increased flows also improved habitat quality for mature trout at downstream sites during summer. These findings, and those from companion studies, indicate that moderately turbid waters from the portal had few if any adverse impacts on trout populations and overall fish communities in the Upper Esopus Creek during this study.
","language":"English","publisher":"Eagle Hill Institute","publisherLocation":"Steuben, ME","doi":"10.1656/045.022.0209","collaboration":"Cornell Cooperative Extension of Ulster County; USGS","usgsCitation":"Baldigo, B.P., George, S.D., and Keller, W.T., 2015, Fish assemblages in the Upper Esopus Creek, NY: Current status, variability, and controlling factors: Northeastern Naturalist, v. 22, no. 2, p. 345-371, https://doi.org/10.1656/045.022.0209.","productDescription":"27 p.","startPage":"345","endPage":"371","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-042999","costCenters":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"links":[{"id":309548,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"New York","otherGeospatial":"Upper Esopus Creek, Catskill Mountains","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -75.16571044921875,\n 41.748775021355044\n ],\n [\n -73.9874267578125,\n 41.748775021355044\n ],\n [\n -73.9874267578125,\n 42.409262623071186\n ],\n [\n -75.16571044921875,\n 42.409262623071186\n ],\n [\n -75.16571044921875,\n 41.748775021355044\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"22","issue":"2","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"56139122e4b0ba4884c60f64","contributors":{"authors":[{"text":"Baldigo, Barry P. 0000-0002-9862-9119 bbaldigo@usgs.gov","orcid":"https://orcid.org/0000-0002-9862-9119","contributorId":1234,"corporation":false,"usgs":true,"family":"Baldigo","given":"Barry","email":"bbaldigo@usgs.gov","middleInitial":"P.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":576413,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"George, Scott D. 0000-0002-8197-1866 sgeorge@usgs.gov","orcid":"https://orcid.org/0000-0002-8197-1866","contributorId":3014,"corporation":false,"usgs":true,"family":"George","given":"Scott","email":"sgeorge@usgs.gov","middleInitial":"D.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":576414,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Keller, Walter T","contributorId":148996,"corporation":false,"usgs":false,"family":"Keller","given":"Walter","email":"","middleInitial":"T","affiliations":[{"id":17612,"text":"Retired Fisheries Manager, NYS Dept of Environmental Conservation","active":true,"usgs":false}],"preferred":false,"id":576415,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70158670,"text":"70158670 - 2015 - The influence of coral reefs and climate change on wave-driven flooding of tropical coastlines","interactions":[],"lastModifiedDate":"2019-12-11T13:24:59","indexId":"70158670","displayToPublicDate":"2015-10-05T09:15:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1807,"text":"Geophysical Research Letters","active":true,"publicationSubtype":{"id":10}},"title":"The influence of coral reefs and climate change on wave-driven flooding of tropical coastlines","docAbstract":"A numerical model, XBeach, calibrated and validated on field data collected at Roi-Namur Island on Kwajalein Atoll in the Republic of Marshall Islands, was used to examine the effects of different coral reef characteristics on potential coastal hazards caused by wave-driven flooding and how these effects may be altered by projected climate change. The results presented herein suggest that coasts fronted by relatively narrow reefs with steep fore reef slopes (~1:10 and steeper) and deeper, smoother reef flats are expected to experience the highest wave runup. Wave runup increases for higher water levels (sea level rise), higher waves, and lower bed roughness (coral degradation), which are all expected effects of climate change. Rising sea levels and climate change will therefore have a significant negative impact on the ability of coral reefs to mitigate the effects of coastal hazards in the future.
","language":"English","publisher":"American Geophysical Union","publisherLocation":"Washington, D.C.","doi":"10.1002/2015GL064861","usgsCitation":"Quataert, E., Storlazzi, C.D., van Rooijen, A., van Dongeren, A., and Cheriton, O., 2015, The influence of coral reefs and climate change on wave-driven flooding of tropical coastlines: Geophysical Research Letters, v. 42, no. 15, p. 6407-6415, https://doi.org/10.1002/2015GL064861.","productDescription":"9 p.","startPage":"6407","endPage":"6415","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-064753","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":471733,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/2015gl064861","text":"Publisher Index Page"},{"id":309544,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Republic of the Marshall Islands","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n 167.8271484375,\n 7.798078531355303\n ],\n [\n 169.63989257812497,\n 7.798078531355303\n ],\n [\n 169.63989257812497,\n 10.077037154404719\n ],\n [\n 167.8271484375,\n 10.077037154404719\n ],\n [\n 167.8271484375,\n 7.798078531355303\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"42","issue":"15","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2015-08-04","publicationStatus":"PW","scienceBaseUri":"56139126e4b0ba4884c60f70","chorus":{"doi":"10.1002/2015gl064861","url":"http://dx.doi.org/10.1002/2015gl064861","publisher":"Wiley-Blackwell","authors":"Quataert Ellen, Storlazzi Curt, van Rooijen Arnold, Cheriton Olivia, van Dongeren Ap","journalName":"Geophysical Research Letters","publicationDate":"8/4/2015","auditedOn":"7/24/2015"},"contributors":{"authors":[{"text":"Quataert, Ellen","contributorId":149000,"corporation":false,"usgs":false,"family":"Quataert","given":"Ellen","affiliations":[{"id":17614,"text":"Delft University of Technology","active":true,"usgs":false}],"preferred":false,"id":576425,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Storlazzi, Curt D. 0000-0001-8057-4490 cstorlazzi@usgs.gov","orcid":"https://orcid.org/0000-0001-8057-4490","contributorId":140584,"corporation":false,"usgs":true,"family":"Storlazzi","given":"Curt","email":"cstorlazzi@usgs.gov","middleInitial":"D.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true},{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true}],"preferred":true,"id":576424,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"van Rooijen, Arnold","contributorId":149001,"corporation":false,"usgs":false,"family":"van Rooijen","given":"Arnold","email":"","affiliations":[{"id":12474,"text":"Deltares, Netherlands","active":true,"usgs":false}],"preferred":false,"id":576426,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"van Dongeren, Ap","contributorId":149002,"corporation":false,"usgs":false,"family":"van Dongeren","given":"Ap","email":"","affiliations":[{"id":12474,"text":"Deltares, Netherlands","active":true,"usgs":false}],"preferred":false,"id":576427,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Cheriton, Olivia 0000-0003-3011-9136 ocheriton@usgs.gov","orcid":"https://orcid.org/0000-0003-3011-9136","contributorId":149003,"corporation":false,"usgs":true,"family":"Cheriton","given":"Olivia","email":"ocheriton@usgs.gov","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":576428,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70158030,"text":"ofr20151189 - 2015 - Status and trends of adult Lost River (Deltistes luxatus) and shortnose (Chasmistes brevirostris) sucker populations in Upper Klamath Lake, Oregon, 2014","interactions":[],"lastModifiedDate":"2015-10-05T11:04:29","indexId":"ofr20151189","displayToPublicDate":"2015-10-02T17:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2015-1189","title":"Status and trends of adult Lost River (Deltistes luxatus) and shortnose (Chasmistes brevirostris) sucker populations in Upper Klamath Lake, Oregon, 2014","docAbstract":"Data from a long-term capture-recapture program were used to assess the status and dynamics of populations of two long-lived, federally endangered catostomids in Upper Klamath Lake, Oregon. Lost River suckers (Deltistes luxatus) and shortnose suckers (Chasmistes brevirostris) have been captured and tagged with passive integrated transponder (PIT) tags during their spawning migrations in each year since 1995. In addition, beginning in 2005, individuals that had been previously PIT-tagged were re-encountered on remote underwater antennas deployed throughout sucker spawning areas. Captures and remote encounters during the spawning season in spring 2014 were incorporated into capture-recapture analyses of population dynamics.
\nCormack-Jolly-Seber (CJS) open population capture-recapture models were used to estimate annual survival probabilities, and a reverse-time analog of the CJS model was used to estimate recruitment of new individuals into the spawning populations. In addition, data on the size composition of captured fish were examined to provide corroborating evidence of recruitment. Model estimates of survival and recruitment were used to derive estimates of changes in population size over time and to determine the status of the populations through 2013. Separate analyses were conducted for each species and also for each subpopulation of Lost River suckers (LRS). Shortnose suckers (SNS) and one subpopulation of LRS migrate into tributary rivers to spawn, whereas the other LRS subpopulation spawns at groundwater upwelling areas along the eastern shoreline of the lake.
\nIn 2014, we captured, tagged, and released 496 LRS at four lakeshore spawning areas and recaptured an additional 970 individuals that had been tagged in previous years. Across all four areas, the remote antennas detected 6,370 individual LRS during the spawning season. Spawning activity peaked in April and most individuals were encountered at Cinder Flats and Sucker Springs. In the Williamson River, we captured, tagged, and released 3,038 LRS and 267 SNS, and recaptured 762 LRS and 156 SNS that had been tagged in previous years. Remote PIT tag antennas in the traps at the weir on the Williamson River and remote antenna systems that spanned the river at three different locations on the Williamson and Sprague Rivers detected a total of 23,446 LRS and 6,259 SNS. Most LRS passed upstream in the first and second weeks of April when water temperatures were increasing and greater than 10 °C. In contrast, upstream passage for SNS occurred in two pulses, one in early April and one in late April to early May, when water temperatures were increasing and near or greater than 12 °C. Finally, an additional 375 LRS and 884 SNS were captured in trammel net sampling at pre-spawn staging areas in the northeastern part of the lake. Of these, 111 of the LRS and 390 of the SNS had been PIT-tagged in previous years. For LRS captured at the staging areas that had encounter histories that were informative about their spawning location, 79 percent of the fish were members of the subpopulation that spawns in the rivers.
\nCapture-recapture analyses for the LRS subpopulation that spawns at the shoreline areas included encounter histories for more than 13,200 individuals, and analyses for the subpopulation that spawns in the rivers included more than 36,400 encounter histories. With a few exceptions, the survival of males and females in both subpopulations was high (greater than 0.88) between 1999 and 2012. Notably lower survival occurred for both sexes from the rivers in 2000, for males from the shoreline areas in 2002, and for males from the rivers in 2006 and 2012. Between 2001 and 2013, the abundance of males in the lakeshore spawning subpopulation decreased by at least 55 percent and the abundance of females decreased by at least 42 percent. Capture-recapture models suggested that the abundance of both sexes in the river spawning subpopulation of LRS had increased substantially since 2006; increases were mostly due to large estimated recruitment events in 2006 and 2008. We know that the estimates in 2006 are substantially biased in favor of recruitment because of a sampling issue. We are skeptical of the magnitude of recruitment indicated by the 2008 estimates as well because (1) few small individuals that would indicate the presence of new recruits were captured in that year, and (2) recapture probabilities in recruitment models based on just physical recaptures of fish were lower than desired for robust inferences from capture-recapture models. If we assume instead that little or no recruitment occurred for this subpopulation, the abundance of both sexes in the river spawning subpopulation likely has decreased at rates similar to the rates for the lakeshore spawning subpopulation between 2002 and 2013.
\nCapture-recapture analyses for SNS included encounter histories for more than 19,200 individuals. Most annual survival estimates between 2001 and 2012 were high (greater than 0.80), but SNS experienced more years of low survival than either LRS subpopulation. Annual survival of both sexes was relatively low in 2004, 2010, and 2012. In addition, male survival was low in 2002. Capture-recapture models and size composition data indicate that recruitment of new individuals into the SNS spawning population was trivial between 2001 and 2005. Models indicate that more than 10 percent of the population was new recruits in a number of more recent years. As a result, capture-recapture modeling suggests that the abundance of adult spawning SNS was relatively stable between 2006 and 2010. We are skeptical of the estimated recruitment in 2006 because of the known sampling issue. We also are skeptical of the estimated recruitment in other recent years because few small individuals that would indicate the presence of new recruits were captured in any of those years, and recapture probabilities in recruitment models were low. The best-case scenario for SNS, based on capture-recapture recruitment modeling, indicates that the abundance of males in the spawning population decreased by 77 percent and the abundance of females decreased by 73 percent between 2001 and 2013. Decreases in abundance for both sexes likely are greater than these estimates indicate.
\nDespite relatively high survival in most years, we conclude that both species have experienced substantial decreases in the abundance of spawning adults because losses from mortality have not been balanced by recruitment of new individuals. Although capture-recapture data indicate substantial recruitment of new individuals into the spawning populations for SNS and river spawning LRS in some years, size data do not corroborate these estimates. As a result, the status of the endangered sucker populations in Upper Klamath Lake remains worrisome, especially for shortnose suckers. Our monitoring program provides a robust platform for estimating vital population parameters, evaluating the status of the populations, and assessing the effectiveness of conservation and recovery efforts.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20151189","collaboration":"Prepared in cooperation with the Bureau of Reclamation","usgsCitation":"Hewitt, D.A., Janney, E.C., Hayes, B.S., and Harris, A.C., 2015, Status and trends of adult Lost River (Deltistes luxatus) and shortnose (Chasmistes brevirostris) sucker populations in Upper Klamath Lake, Oregon, 2014: U.S. Geological Survey Open-File Report 2015-1189, 36 p., https://dx.doi.org/10.3133/ofr20151189.","productDescription":"iv, 36 p.","numberOfPages":"44","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-065787","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":309534,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2015/1189/ofr20151189.pdf","text":"Report","size":"1.7 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2015-1189 PDF"},{"id":309533,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2015/1189/coverthb.jpg"}],"country":"United States","state":"Oregon","otherGeospatial":"Upper Klamath Lake","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -121.80610656738281,\n 42.23512673690766\n ],\n [\n -121.81297302246092,\n 42.26511445833756\n ],\n [\n -121.82876586914061,\n 42.279848959767385\n ],\n [\n -121.82258605957031,\n 42.29711950573175\n ],\n [\n -121.81365966796874,\n 42.30879983710443\n ],\n [\n -121.82052612304688,\n 42.34382782918463\n ],\n [\n -121.82327270507812,\n 42.35296235855687\n ],\n [\n -121.80679321289062,\n 42.383401202818526\n ],\n [\n -121.83563232421875,\n 42.42142901536395\n ],\n [\n -121.86447143554686,\n 42.44372793752476\n ],\n [\n -121.87339782714844,\n 42.453354564875475\n ],\n [\n -121.88987731933594,\n 42.449301428414955\n ],\n [\n -121.90086364746094,\n 42.461460050936715\n ],\n [\n -121.91665649414062,\n 42.47361631282951\n ],\n [\n -121.93244934082031,\n 42.47007098029904\n ],\n [\n -121.95716857910155,\n 42.46855149059522\n ],\n [\n -121.97776794433594,\n 42.48323834594139\n ],\n [\n -122.00592041015626,\n 42.49792175437361\n ],\n [\n -122.04711914062499,\n 42.50197174319114\n ],\n [\n -122.05810546875,\n 42.488808320425846\n ],\n [\n -122.06565856933592,\n 42.46753847696729\n ],\n [\n -122.07252502441406,\n 42.46652544694582\n ],\n [\n -122.07870483398436,\n 42.48627657532141\n ],\n [\n -122.08831787109375,\n 42.482731960032936\n ],\n [\n -122.09449768066405,\n 42.46804498583046\n ],\n [\n -122.08145141601561,\n 42.455381034748896\n ],\n [\n -122.04299926757812,\n 42.42548395494743\n ],\n [\n -122.04505920410156,\n 42.416359972082866\n ],\n [\n -122.03201293945311,\n 42.39810802339276\n ],\n [\n -122.00523376464842,\n 42.39151573685182\n ],\n [\n -121.99356079101562,\n 42.40368557113506\n ],\n [\n -122.00042724609374,\n 42.41179748277328\n ],\n [\n -121.98257446289062,\n 42.40622065620649\n ],\n [\n -121.981201171875,\n 42.39405131362432\n ],\n [\n -121.97708129882812,\n 42.37934354245872\n ],\n [\n -121.95854187011717,\n 42.381879610913195\n ],\n [\n -121.95167541503906,\n 42.39455841668649\n ],\n [\n -121.95716857910155,\n 42.42092212947584\n ],\n [\n -121.94618225097656,\n 42.39912215986002\n ],\n [\n -121.94000244140624,\n 42.38035798213233\n ],\n [\n -121.91940307617188,\n 42.370720143531955\n ],\n [\n -121.90086364746094,\n 42.354992073710456\n ],\n [\n -121.92008972167969,\n 42.34941019930749\n ],\n [\n -121.94549560546875,\n 42.34433533786168\n ],\n [\n -121.94961547851562,\n 42.33519955487233\n ],\n [\n -121.94686889648438,\n 42.31590854308647\n ],\n [\n -121.93588256835938,\n 42.28950073090457\n ],\n [\n -121.92283630371092,\n 42.28035698458569\n ],\n [\n -121.92558288574217,\n 42.29711950573175\n ],\n [\n -121.9207763671875,\n 42.30676863078423\n ],\n [\n -121.904296875,\n 42.31083097788356\n ],\n [\n -121.89193725585936,\n 42.31540080499991\n ],\n [\n -121.88987731933594,\n 42.30321386201705\n ],\n [\n -121.87889099121092,\n 42.293056273848215\n ],\n [\n -121.86927795410156,\n 42.277816819534955\n ],\n [\n -121.8548583984375,\n 42.266638876842244\n ],\n [\n -121.84730529785155,\n 42.25495072629938\n ],\n [\n -121.84730529785155,\n 42.245801966774025\n ],\n [\n -121.83769226074219,\n 42.23766862211923\n ],\n [\n -121.8109130859375,\n 42.23105950761338\n ],\n [\n -121.80610656738281,\n 42.23512673690766\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, Western Fisheries Research Center
U.S. Geological Survey
6505 NE 65th Street
Seattle, Washington 98115
http://wfrc.usgs.gov/
Three aeromagnetic surveys were flown to improve understanding of the geology and structure in the Sacramento Valley. The resulting data serve as a basis for geophysical interpretations, and support geological mapping, water and mineral resource investigations, and other topical studies. Local spatial variations in the Earth's magnetic field (evident as anomalies on aeromagnetic maps) reflect the distribution of magnetic minerals, primarily magnetite, in the underlying rocks. In many cases the volume content of magnetic minerals can be related to rock type, and abrupt spatial changes in the amount of magnetic minerals commonly mark lithologic or structural boundaries. Bodies of serpentinite and other mafic and ultramafic rocks tend to produce the most intense positive magnetic anomalies (for example, in the northwest part of the map). These rock types are the inferred sources, concealed beneath weakly magnetic, valley-fill deposits, of the most prominent magnetic features in the map area, the magnetic highs that extend along the valley axis. Cenozoic volcanic rocks are also an important source of magnetic anomalies and coincide with short-wavelength anomalies that can be either positive (strong central positive anomaly flanked by lower-amplitude negative anomalies) or negative (strong central negative anomaly flanked by lower-amplitude positive anomalies), reflecting the contribution of remanent magnetization. Rocks with more felsic compositions or even some sedimentary units also can cause measurable magnetic anomalies. For example, the long, linear, narrow north-trending anomalies (with amplitudes of <50 nanoteslas [nT]) along the western margin of the valley coincide with exposures of the Mesozoic Great Valley sequence. Note that isolated, short-wavelength anomalies, such as those in the city of Sacramento and along some of the major roads, are caused by manmade features.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20151186","usgsCitation":"Langenheim, V.E., 2015, Aeromagnetic survey map of Sacramento Valley, California: U.S. Geological Survey Open-File Report 2015-1186, Map: 32.40 x 44.91 inches; Datasets; Metadata; Read Me, https://doi.org/10.3133/ofr20151186.","productDescription":"Map: 32.40 x 44.91 inches; Datasets; Metadata; Read Me","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-065763","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":309022,"rank":11,"type":{"id":16,"text":"Metadata"},"url":"https://pubs.usgs.gov/of/2015/1186/ofr20151186_metadata_sacramento_new.txt","text":"Sacramento","size":"13 KB","linkFileType":{"id":2,"text":"txt"},"description":"OFR 2015-1186 Sacramento 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GSFLOW is an integration of the USGS Precipitation-Runoff Modeling System (PRMS) and USGS Modular Groundwater-Flow Model (MODFLOW), and provides three simulation modes: MODFLOW-only, PRMS-only, and GSFLOW (or coupled). The new capability, referred to as the restart option, can be used for all three simulation modes, such that the results from a pair (or set) of spin-up and restart simulations are nearly identical to results produced from a continuous simulation for the same time period. The restart option writes all results to files at the end of a spin-up simulation that are required to initialize a subsequent restart simulation. Previous versions of GSFLOW have had some capability to save model results for use as antecedent condiitions in subsequent simulations; however, the existing capabilities were not comprehensive or easy to use. The new restart option supersedes the previous methods. The restart option was developed in collaboration with the National Oceanic and Atmospheric Administration, National Weather Service as part of the Integrated Water Resources Science and Services Partnership. The primary focus for the development of the restart option was to support medium-range (7- to 14-day) forecasts of low streamflow conditions made by the National Weather Service for critical water-supply basins in which groundwater plays an important role.
\nThe spin-up simulation should be run for a sufficient length of time necessary to establish antecedent conditions throughout a model domain. Each GSFLOW application can require different lengths of time to account for the hydrologic stresses to propagate through a coupled groundwater and surface-water system. Typically, groundwater hydrologic processes require many years to come into equilibrium with dynamic climate and other forcing (or stress) data, such as precipitation and well pumping, whereas runoff-dominated surface-water processes respond relatively quickly. Use of a spin-up simulation can substantially reduce execution-time requirements for applications where the time period of interest is small compared to the time for hydrologic memory; thus, use of the restart option can be an efficient strategy for forecast and calibration simulations that require multiple simulations starting from the same day.
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Energy and natural resources are crucial to the sustainability of worldwide economies, security, and overall well-being. However, the future workforce in the energy and natural-resources sector is at risk, and meeting the challenges of this dwindling workforce requires well-educated geoscientists in exploration and applied geophysics and related geoscience and technology disciplines. Programs such as geophysical field courses that are supported by SEG and industry, in partnership with academic institutions and government laboratories, are important approaches to maintaining and enhancing expertise in exploration geophysics. One example of a geophysical field course devoted to educating our future workforce is the Summer of Applied Geophysical Experience (SAGE), a four-week program based in Santa Fe, New Mexico, designed to actively engage students in all phases of applied geophysical research. SAGE is a unique educational experience that combines teaching and research as a partnership among universities, industry, government agencies, and professional societies. SAGE teaches the principles and applications of refraction and reflection seismology, magnetics, gravity, GPS, heat flow, several electromagnetic (EM) methods, and ground-penetrating radar (GPR) in a field-based, hands-on setting. More than 850 students and qualified professionals have attended SAGE, many of whom have gone on to become leaders in academia, industry, and government. SAGE students are exposed to the exciting challenges that face earth scientists today, and they develop skills that are necessary to address the world's growing energy demands. Examples of SAGE research projects include mapping archaeological sites and tectonic structure and investigating water and geothermal resources in the Rio Grande rift.
","language":"English","publisher":"Society of Exploration Geophysicists","doi":"10.1190/tle34101214.1","usgsCitation":"Baldridge, W., Bedrosian, P.A., Biehler, S., Braile, L., Ferguson, J., Folsom, M., Jiracek, G., Kelley, S.A., McPhee, D., Pellerin, L., and Snelson, C.M., 2015, Summer of Applied Geophysical Experience (SAGE): Training for our future geoscientists: Leading Edge (Tulsa, OK), v. 34, no. 10, p. 1214-1219, https://doi.org/10.1190/tle34101214.1.","productDescription":"6 p.","startPage":"1214","endPage":"1219","ipdsId":"IP-068332","costCenters":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":376397,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"34","issue":"10","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Baldridge, W.S.","contributorId":63956,"corporation":false,"usgs":true,"family":"Baldridge","given":"W.S.","affiliations":[],"preferred":false,"id":792803,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bedrosian, Paul A. 0000-0002-6786-1038 pbedrosian@usgs.gov","orcid":"https://orcid.org/0000-0002-6786-1038","contributorId":839,"corporation":false,"usgs":true,"family":"Bedrosian","given":"Paul","email":"pbedrosian@usgs.gov","middleInitial":"A.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true},{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":792804,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Biehler, Shawn","contributorId":69168,"corporation":false,"usgs":true,"family":"Biehler","given":"Shawn","email":"","affiliations":[],"preferred":false,"id":792805,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Braile, L.W.","contributorId":85332,"corporation":false,"usgs":true,"family":"Braile","given":"L.W.","email":"","affiliations":[],"preferred":false,"id":792806,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Ferguson, John","contributorId":196881,"corporation":false,"usgs":false,"family":"Ferguson","given":"John","affiliations":[],"preferred":false,"id":792807,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Folsom, Matthew","contributorId":229011,"corporation":false,"usgs":false,"family":"Folsom","given":"Matthew","email":"","affiliations":[],"preferred":false,"id":792808,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Jiracek, G.R.","contributorId":90121,"corporation":false,"usgs":true,"family":"Jiracek","given":"G.R.","email":"","affiliations":[],"preferred":false,"id":792809,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Kelley, Shari A.","contributorId":216179,"corporation":false,"usgs":false,"family":"Kelley","given":"Shari","email":"","middleInitial":"A.","affiliations":[{"id":16150,"text":"New Mexico Bureau of Geology and Mineral Resources","active":true,"usgs":false}],"preferred":false,"id":792810,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"McPhee, Darcy 0000-0002-5177-3068 dmcphee@usgs.gov","orcid":"https://orcid.org/0000-0002-5177-3068","contributorId":2621,"corporation":false,"usgs":true,"family":"McPhee","given":"Darcy","email":"dmcphee@usgs.gov","affiliations":[{"id":412,"text":"National Cooperative Geologic Mapping Program","active":false,"usgs":true}],"preferred":true,"id":792811,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Pellerin, Louise","contributorId":20824,"corporation":false,"usgs":true,"family":"Pellerin","given":"Louise","email":"","affiliations":[],"preferred":false,"id":792812,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Snelson, Catherine M.","contributorId":106369,"corporation":false,"usgs":true,"family":"Snelson","given":"Catherine","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":792813,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}} ,{"id":70154751,"text":"70154751 - 2015 - Landfill leachate as a mirror of today's disposable society: Pharmaceuticals and other contaminants of emerging concern in final leachate from landfills in the conterminous United States","interactions":[],"lastModifiedDate":"2021-06-01T14:43:31.062569","indexId":"70154751","displayToPublicDate":"2015-10-01T17:30:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1571,"text":"Environmental Toxicology and Chemistry","active":true,"publicationSubtype":{"id":10}},"title":"Landfill leachate as a mirror of today's disposable society: Pharmaceuticals and other contaminants of emerging concern in final leachate from landfills in the conterminous United States","docAbstract":"Final leachates (leachate after storage or treatment processes) from 22 landfills in 12 states were analyzed for 190 pharmaceuticals and other contaminants of emerging concern (CECs), which were detected in every sample, with the number of CECs ranging from 1 to 58 (median = 22). In total, 101 different CECs were detected in leachate samples, including 43 prescription pharmaceuticals, 22 industrial chemicals, 15 household chemicals, 12 nonprescription pharmaceuticals, 5 steroid hormones, and 4 animal/plant sterols. The most frequently detected CECs were lidocaine (91%, local anesthetic), cotinine (86%, nicotine degradate), carisoprodol (82%, muscle relaxant), bisphenol A (77%, component of plastics and thermal paper), carbamazepine (77%, anticonvulsant), and N,N-diethyltoluamide (68%, insect repellent). Concentrations of CECs spanned 7 orders of magnitude, ranging from 2.0 ng/L (estrone) to 17 200 000 ng/L (bisphenol A). Concentrations of household and industrial chemicals were the greatest (∼1000-1 000 000 ng/L), followed by plant/animal sterols (∼1000-100 000 ng/L), nonprescription pharmaceuticals (∼100-10 000 ng/L), prescription pharmaceuticals (∼10-10 000 ng/L), and steroid hormones (∼10-100 ng/L). The CEC concentrations in leachate from active landfills were significantly greater than those in leachate from closed, unlined landfills (p = 0.05). The CEC concentrations were significantly greater (p < 0.01) in untreated leachate compared with treated leachate. The CEC concentrations were significantly greater in leachate disposed to wastewater treatment plants from modern lined landfills than in leachate released to groundwater from closed, unlined landfills (p = 0.04). The CEC concentrations were significantly greater (p = 0.06) in the fresh leachate (leachate before storage or treatment) reported in a previous study compared with the final leachate sampled for the present study.
","language":"English","publisher":"Elsevier","publisherLocation":"Amsterdam","doi":"10.1002/etc.3219","usgsCitation":"Masoner, J.R., Kolpin, D.W., Furlong, E.T., Cozzarelli, I.M., and Gray, J.L., 2015, Landfill leachate as a mirror of today's disposable society: Pharmaceuticals and other contaminants of emerging concern in final leachate from landfills in the conterminous United States: Environmental Toxicology and Chemistry, v. 35, no. 4, p. 906-918, https://doi.org/10.1002/etc.3219.","productDescription":"13 p.","startPage":"906","endPage":"918","numberOfPages":"13","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-063934","costCenters":[{"id":452,"text":"National Water Quality Laboratory","active":true,"usgs":true},{"id":516,"text":"Oklahoma Water Science Center","active":true,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology 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Center","active":true,"usgs":true}],"preferred":true,"id":563958,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"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":563959,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Gray, James L. 0000-0002-0807-5635 jlgray@usgs.gov","orcid":"https://orcid.org/0000-0002-0807-5635","contributorId":1253,"corporation":false,"usgs":true,"family":"Gray","given":"James","email":"jlgray@usgs.gov","middleInitial":"L.","affiliations":[{"id":436,"text":"National Research Program - Eastern 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aquifers, at various spatial and temporal scales, is a major scientific topic of current importance, since these aquifers play an essential role for both socio-economic development and fluvial ecosystems.
\nIn this study, groundwater recharge was estimated at local and episodic scales in a representative perched karst aquifer in a region of southern Italy with a Mediterranean climate. The research utilized measurements of precipitation, air temperature, soil water content, and water-table depth, obtained in 2008 at the Acqua della Madonna test area (Terminio Mount karst aquifer, Campania region). At this location the aquifer is overlain by ash-fall pyroclastic soils. The Episodic Master Recession (EMR) method, an improved version of the Water Table Fluctuation (WTF) method, was applied to estimate the amount of recharge generated episodically by individual rainfall events. The method also quantifies the amount of precipitation generating each recharge episode, thus permitting calculation of the Recharge to the Precipitation Ratio (RPR) on a storm-by-storm basis.
\nDepending on the seasonally varying air temperature, evapotranspiration, and precipitation patterns, calculated values of RPR varied between 35% and 97% among the individual episodes. A multiple linear correlation of the RPR with both the average intensity of recharging rainfall events and the antecedent soil water content was calculated. Given the relatively easy measurability of precipitation and soil water content, such an empirical model would have great hydrogeological and practical utility. It would facilitate short-term forecasting of recharge in karst aquifers of the Mediterranean region and other aquifers with similar hydrogeological characteristics. By establishing relationships between the RPR and climate-dependent variables such as average storm intensity, it would facilitate prediction of climate-change effects on groundwater recharge. The EMR methodology could further be applied to other aquifers for evaluating the relationship of recharge to various hydrometeorological and hydrogeological processes.
","language":"English","publisher":"European Geophysical Society","publisherLocation":"New York, NY","doi":"10.1016/j.jhydrol.2015.08.032","usgsCitation":"Allocca, V., De Vita, P., Manna, F., and Nimmo, J.R., 2015, Groundwater recharge assessment at local and episodic scale in a soil mantled perched karst aquifer in southern Italy: Journal of Hydrology, v. 529, no. 3, p. 843-853, https://doi.org/10.1016/j.jhydrol.2015.08.032.","productDescription":"11 p.","startPage":"843","endPage":"853","numberOfPages":"11","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-068702","costCenters":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"links":[{"id":309722,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"529","issue":"3","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5616423ee4b0ba4884c61494","contributors":{"authors":[{"text":"Allocca, V.","contributorId":149077,"corporation":false,"usgs":false,"family":"Allocca","given":"V.","email":"","affiliations":[{"id":17631,"text":"Department of Earth, Environment and Resources Sciences, University of Naples “Federico II”, Naples, Italy.","active":true,"usgs":false}],"preferred":false,"id":576822,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"De Vita, P.","contributorId":26207,"corporation":false,"usgs":true,"family":"De Vita","given":"P.","affiliations":[],"preferred":false,"id":576821,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Manna, F.","contributorId":149078,"corporation":false,"usgs":false,"family":"Manna","given":"F.","email":"","affiliations":[{"id":17631,"text":"Department of Earth, Environment and Resources Sciences, University of Naples “Federico II”, Naples, Italy.","active":true,"usgs":false}],"preferred":false,"id":576823,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Nimmo, John R. 0000-0001-8191-1727 jrnimmo@usgs.gov","orcid":"https://orcid.org/0000-0001-8191-1727","contributorId":757,"corporation":false,"usgs":true,"family":"Nimmo","given":"John","email":"jrnimmo@usgs.gov","middleInitial":"R.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":576820,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70156840,"text":"sir20155121 - 2015 - Groundwater-level and storage-volume changes in the Equus Beds aquifer near Wichita, Kansas, predevelopment through January 2015","interactions":[],"lastModifiedDate":"2015-10-01T10:16:44","indexId":"sir20155121","displayToPublicDate":"2015-10-01T10:30:00","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":"2015-5121","title":"Groundwater-level and storage-volume changes in the Equus Beds aquifer near Wichita, Kansas, predevelopment through January 2015","docAbstract":"Development of the Wichita well field began in the 1940s in the Equus Beds aquifer to provide the city of Wichita, Kansas, a new water-supply source. After development of the Wichita well field began, groundwater levels began to decline. Extensive development of irrigation wells that began in the 1970s also contributed to substantial groundwater-level declines. Groundwater-level declines likely enhance movement of brine from past oil and gas production near Burrton, Kansas, and natural saline water from the Arkansas River into the Wichita well field. Groundwater levels reached a historical minimum in 1993 because of drought conditions, irrigation, and the city of Wichita’s withdrawals from the aquifer. In 1993, the city of Wichita adopted the Integrated Local Water Supply Program to ensure that Wichita’s water needs would be met through the year 2050 and beyond as part of its efforts to manage the part of the Equus Beds aquifer Wichita uses. A key component of the Integrated Local Water Supply Program was the Equus Beds Aquifer Storage and Recovery project. The Aquifer Storage and Recovery project’s goal is to store and eventually recover groundwater and help protect the Equus Beds aquifer from oil-field brine water near Burrton, Kansas, and saline water from the Arkansas River. Since 1940, the U.S. Geological Survey has monitored groundwater levels and storage-volume changes in the Equus Beds aquifer to provide data to the city of Wichita in order to better manage its water supply.
\nGroundwater mostly flowed from west to east in the shallow and deep parts of the Equus Beds aquifer in January 2015. A large area of declines greater than 10 feet in the shallow part of the Equus Beds aquifer from predevelopment (before substantial pumpage began in the area in September 1940) to January 2015 covered most of the central part of the study area, where the city of Wichita well field is located, and extended beyond it. Groundwater-level rises of greater than 10 feet from 1993 (the historical minimum groundwater levels) to January 2015 covered most of the central part of the study area in the shallow and deep parts of the Equus Beds aquifer; rises of greater than 20 feet mostly were within the north-central part of the study area. The 1993 to January 2015 recovery of storage volume previously lost from predevelopment to 1993 was about 46 percent (55,200 acre-feet) for the central part of the study area and the percentage recovery was larger than the 31 percent (59,800 acre-feet) recovery for the entire study area. Groundwater-level rises and the larger percentage recovery of storage volume in the central part of the study area was most likely a result of the city of Wichita adopting the Integrated Local Water Supply Program strategy which reduced Wichita’s pumpage from the Equus Beds aquifer in 2014 to the smallest amount since 1940. January 2015 storage volumes were about 96 percent (3,057,000 acre-feet) and 94 percent (960,000 acre-feet) of total aquifer storage for the study area and the central part of the study area, respectively.
\nGroundwater levels from January 2014 to January 2015 in the central part of the study area rose about 3 feet in some places, probably because Wichita reduced its withdrawals from the aquifer in 2014 by more than 50 percent. Groundwater levels probably recovered less than anticipated because of decreased recharge and net groundwater flow and increased agricultural pumpage. A volumetric water budget for the central part of the study area between 2013 and 2014 showed that the substantial decrease in total pumping (10,412 acre-feet) did not result in an increase in storage volume because it was more than offset by decreased recharge (6,502 acre-feet; artificial and from precipitation) and an even greater decrease in net groundwater flow (11,710 acre-feet).
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20155121","collaboration":"Prepared in cooperation with the City of Wichita, Kansas","usgsCitation":"Whisnant, J.A., Hansen, C.V., and Eslick, P.J., 2015, Groundwater-level and storage-volume changes in the Equus Beds Aquifer near Wichita, Kansas, predevelopment through January 2015: U.S. Geological Survey Scientific Investigations Report 2015–5121, 27 p., https://dx.doi.org/10.3133/sir20155121.","productDescription":"Report: vi, 27 p.; Appendix","numberOfPages":"38","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-067226","costCenters":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"links":[{"id":308476,"rank":3,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2015/5121/sir20155121Apptable1.xlsx","text":"Appendix 1 Table 1–1","size":"97.2 kB","linkFileType":{"id":3,"text":"xlsx"},"description":"Appendix 1"},{"id":308474,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2015/5121/coverthb.jpg"},{"id":308475,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2015/5121/sir20155121.pdf","text":"Report","size":"8.94 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2015-5121"}],"country":"United States","state":"Kansas","city":"Wichita","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -97.72476196289062,\n 38.120512892298976\n ],\n [\n -97.591552734375,\n 38.12591462924157\n ],\n [\n -97.5531005859375,\n 38.06106741381199\n ],\n [\n -97.525634765625,\n 38.01888587738773\n ],\n [\n -97.48306274414062,\n 37.98533963422242\n ],\n [\n -97.44255065917967,\n 37.934991500488344\n ],\n [\n -97.43431091308592,\n 37.91603433975963\n ],\n [\n -97.437744140625,\n 37.90411590881245\n ],\n [\n -97.43019104003906,\n 37.89273742374153\n ],\n [\n -97.415771484375,\n 37.88189913601145\n ],\n [\n -97.40959167480469,\n 37.86347038587407\n ],\n [\n -97.39860534667969,\n 37.84557924966551\n ],\n [\n -97.3828125,\n 37.8271414168374\n ],\n [\n -97.38143920898438,\n 37.81737834565083\n ],\n [\n -97.45834350585936,\n 37.819548028632376\n ],\n [\n -97.47894287109375,\n 37.82822612280363\n ],\n [\n -97.50160217285156,\n 37.82497195707114\n ],\n [\n -97.51739501953125,\n 37.83636090929915\n ],\n [\n -97.52494812011719,\n 37.842868092687425\n ],\n [\n -97.54829406738281,\n 37.846663684549156\n ],\n [\n -97.5592803955078,\n 37.86401247373357\n ],\n [\n -97.5860595703125,\n 37.86292829402713\n ],\n [\n -97.61352539062499,\n 37.87973128703159\n ],\n [\n -97.6409912109375,\n 37.88189913601145\n ],\n [\n -97.66639709472656,\n 37.89219554724437\n ],\n [\n -97.69386291503906,\n 37.899781455245545\n ],\n [\n -97.71720886230469,\n 37.91603433975963\n ],\n [\n -97.72476196289062,\n 38.120512892298976\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, Kansas Water Science Center
U.S. Geological Survey
4821 Quail Crest Place
Lawrence, KS 66049
http://ks.water.usgs.gov
We compared migration movements and chronology between Northern Pintails (Anas acuta) marked with dorsally mounted satellite transmitters and pintails marked only with tarsus rings. During weekly intervals of spring and autumn migration between their wintering area in Japan and nesting areas in Russia, the mean distance that ringed pintails had migrated was up to 1000 km farther than the mean distance radiomarked pintails migrated. Radiomarked pintails were detected at spring migration sites on average 9.9 days (90 % CI 8.0, 11.8) later than ringed pintails that were recovered within 50 km. Although ringed and radiomarked pintails departed from Japan on similar dates, the disparity in detection of radiomarked versus ringed pintails at shared sites increased 7.7 days (90 % CI 5.2, 10.2) for each 1000 km increase in distance from Japan. Thus, pintails marked with satellite transmitters arrived at nesting areas that were 2500 km from Japan on average 19 days later than ringed birds. Radiomarked pintails were detected at autumn migration stopovers on average 13.1 days (90 % CI 9.8, 16.4) later than ringed birds that were recovered within 50 km. We hypothesize that dorsal attachment of 12–20 g satellite transmitters to Northern Pintails increased the energetic cost of flight, which resulted in more rapid depletion of energetic reserves and shortened the distance pintails could fly without refueling. Radiomarked pintails may have used more stopovers or spent longer periods at stopovers. causing their migration schedule to diverge from ringed pintails. We urge further evaluation of the effects of dorsally mounted transmitters on migration chronology of waterfowl.
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M.","contributorId":55308,"corporation":false,"usgs":true,"family":"Yamaguchi","given":"Noriyuki","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":620017,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ozaki, K.","contributorId":103470,"corporation":false,"usgs":true,"family":"Ozaki","given":"K.","email":"","affiliations":[],"preferred":false,"id":620018,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Flint, Paul L. 0000-0002-8758-6993 pflint@usgs.gov","orcid":"https://orcid.org/0000-0002-8758-6993","contributorId":3284,"corporation":false,"usgs":true,"family":"Flint","given":"Paul","email":"pflint@usgs.gov","middleInitial":"L.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":620019,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Pearce, John M. 0000-0002-8503-5485 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Streamflow depletion due to enhanced evapotranspiration (ET) from irrigated crops impacts freshwater ecosystems globally (Foley et al., 2005). Water scarcity limits crop production in many arid and semiarid regions, and water is likely to be a key resource limiting food production and food security in the twenty-first century (Foley et al., 2011; Vorosmarty et al., 2000). Despite this, estimates of the location and temporal dynamics of ET from croplands are often uncertain at a variety of spatial and temporal scales. Better information on ET can be useful in several applications at a range of spatial scales, including water resources, agronomy, and meteorology (e.g., Rivas and Caselles, 2004). At the scale of irrigation projects, maps of ET can assist with irrigation scheduling and demand assessment. Measurements of ET are required for monitoring plant water requirements, plant growth, and productivity, as well as for irrigation management and deciding when to carry out cultivation procedures (e.g., Consolli et al., 2006; Glenn et al., 2007; Yang et al., 2010).
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Remote sensing of water resources, disasters, and urban studies","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"CRC Press","doi":"10.1201/9781003541400","usgsCitation":"Biggs, T.W., Petropoulos, G.P., Velpuri, N.M., Marshall, M., Glenn, E., Nagler, P.L., and Messina, A., 2015, Remote sensing of actual evapotranspiration from croplands, chap. 3 of Remote sensing of water resources, disasters, and urban studies, p. 59-100, https://doi.org/10.1201/9781003541400.","productDescription":"41 p.","startPage":"59","endPage":"100","ipdsId":"IP-162608","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true},{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true},{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"links":[{"id":493178,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationDate":"2024-10-30","publicationStatus":"PW","contributors":{"editors":[{"text":"Thenkabail, Prasad S. 0000-0002-2182-8822 pthenkabail@usgs.gov","orcid":"https://orcid.org/0000-0002-2182-8822","contributorId":570,"corporation":false,"usgs":true,"family":"Thenkabail","given":"Prasad","email":"pthenkabail@usgs.gov","middleInitial":"S.","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":944523,"contributorType":{"id":2,"text":"Editors"},"rank":1}],"authors":[{"text":"Biggs, Trent W.","contributorId":187592,"corporation":false,"usgs":false,"family":"Biggs","given":"Trent","email":"","middleInitial":"W.","affiliations":[{"id":6608,"text":"San Diego State University","active":true,"usgs":false}],"preferred":false,"id":944508,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Petropoulos, George P.","contributorId":174669,"corporation":false,"usgs":false,"family":"Petropoulos","given":"George","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":944515,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Velpuri, Naga Manohar 0000-0002-6370-1926 nvelpuri@usgs.gov","orcid":"https://orcid.org/0000-0002-6370-1926","contributorId":166813,"corporation":false,"usgs":true,"family":"Velpuri","given":"Naga","email":"nvelpuri@usgs.gov","middleInitial":"Manohar","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true},{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":944522,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Marshall, Michael","contributorId":145855,"corporation":false,"usgs":false,"family":"Marshall","given":"Michael","affiliations":[{"id":16265,"text":"Dept. of Geography, UC Santa Barbara","active":true,"usgs":false}],"preferred":false,"id":944514,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Glenn, Edward P.","contributorId":56542,"corporation":false,"usgs":false,"family":"Glenn","given":"Edward P.","affiliations":[{"id":13060,"text":"Department of Soil, Water and Environmental Science, University of Arizona","active":true,"usgs":false}],"preferred":false,"id":944517,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Nagler, Pamela L. 0000-0003-0674-103X pnagler@usgs.gov","orcid":"https://orcid.org/0000-0003-0674-103X","contributorId":1398,"corporation":false,"usgs":true,"family":"Nagler","given":"Pamela","email":"pnagler@usgs.gov","middleInitial":"L.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":944509,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Messina, Alex","contributorId":174670,"corporation":false,"usgs":false,"family":"Messina","given":"Alex","email":"","affiliations":[],"preferred":false,"id":944516,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"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":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.
\nAcute 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":27231,"text":"Indiana-Kentucky Water Science Center","active":true,"usgs":true},{"id":346,"text":"Indiana 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":70159363,"text":"70159363 - 2015 - Comparative analysis of riverscape genetic structure in rare, threatened and common freshwater mussels","interactions":[],"lastModifiedDate":"2018-03-23T10:56:34","indexId":"70159363","displayToPublicDate":"2015-10-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1324,"text":"Conservation Genetics","active":true,"publicationSubtype":{"id":10}},"title":"Comparative analysis of riverscape genetic structure in rare, threatened and common freshwater mussels","docAbstract":"Freshwater mussels (Bivalvia: Unionoida) are highly imperiled with many species on the verge of local extirpation or global extinction. This study investigates patterns of genetic structure and diversity in six species of freshwater mussels in the central Great Lakes region of Ontario, Canada. These species vary in their conservation status (endangered to not considered at risk), life history strategy, and dispersal capabilities. Evidence of historical genetic connectivity within rivers was ubiquitous across species and may reflect dispersal abilities of host fish. There was little to no signature of recent disturbance events or bottlenecks, even in endangered species, likely as a function of mussel longevity and historical population sizes (i.e., insufficient time for genetic drift to be detectable). Genetic structure was largely at the watershed scale suggesting that population augmentation via translocation within rivers may be a useful conservation tool if needed, while minimizing genetic risks to recipient sites. Recent interest in population augmentation via translocation and propagation may rely on these results to inform management of unionids in the Great Lakes region.
","language":"English","publisher":"Springer","doi":"10.1007/s10592-015-0705-5","usgsCitation":"Galbraith, H.S., Zanatta, D.T., and Wilson, C.C., 2015, Comparative analysis of riverscape genetic structure in rare, threatened and common freshwater mussels: Conservation Genetics, v. 16, no. 4, p. 845-857, https://doi.org/10.1007/s10592-015-0705-5.","productDescription":"13 p.","startPage":"845","endPage":"857","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-063117","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":310674,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada","state":"Ontario","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -82.3974609375,\n 42.39912215986002\n ],\n [\n -82.3974609375,\n 42.99661231842139\n ],\n [\n -81.6943359375,\n 43.35713822211053\n ],\n [\n -80.13427734374999,\n 43.715534726205114\n ],\n [\n -79.29931640625,\n 42.85985981506279\n ],\n [\n -82.3974609375,\n 42.39912215986002\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"16","issue":"4","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationDate":"2015-02-21","publicationStatus":"PW","scienceBaseUri":"5630a02fe4b093cee78203e9","contributors":{"authors":[{"text":"Galbraith, Heather S. 0000-0003-3704-3517 hgalbraith@usgs.gov","orcid":"https://orcid.org/0000-0003-3704-3517","contributorId":4519,"corporation":false,"usgs":true,"family":"Galbraith","given":"Heather","email":"hgalbraith@usgs.gov","middleInitial":"S.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":578228,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Zanatta, David T.","contributorId":149384,"corporation":false,"usgs":false,"family":"Zanatta","given":"David","email":"","middleInitial":"T.","affiliations":[{"id":17722,"text":"2Institute for Great Lakes Research, Biology Department, Central Michigan University","active":true,"usgs":false}],"preferred":false,"id":578229,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wilson, Chris C.","contributorId":149385,"corporation":false,"usgs":false,"family":"Wilson","given":"Chris","email":"","middleInitial":"C.","affiliations":[{"id":17723,"text":"3Aquatic Research Section, Ontario Ministry of Natural Resources, Trent University","active":true,"usgs":false}],"preferred":false,"id":578230,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"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.
\nExpert 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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