{"pageNumber":"1330","pageRowStart":"33225","pageSize":"25","recordCount":165355,"records":[{"id":70102646,"text":"70102646 - 2014 - Simulation-optimization aids in resolving water conflict: Temecula Basin, Southern California","interactions":[],"lastModifiedDate":"2014-07-03T12:46:45","indexId":"70102646","displayToPublicDate":"2014-04-22T12:39:09","publicationYear":"2014","noYear":false,"publicationType":{"id":4,"text":"Book"},"publicationSubtype":{"id":12,"text":"Conference publication"},"title":"Simulation-optimization aids in resolving water conflict: Temecula Basin, Southern California","docAbstract":"<p>The productive agricultural areas of Pajaro Valley, California have exclusively relied on ground water from coastal aquifers in central Monterey Bay. As part of the Basin Management Plan (BMP), the Pajaro Valley Water Management Agency (PVWMA) is developing additional local supplies to replace coastal pumpage, which is causing seawater intrusion. The BMP includes an aquifer storage and recovery (ASR) system, which captures and stores local winter runoff, and supplies it to growers later in the growing season in lieu of ground-water pumpage. A Coastal Distribution System (CDS) distributes water from the ASR and other supplemental sources. A detailed model of the Pajaro Valley is being used to simulate the coupled supply and demand components of irrigated agriculture from 1963 to 2006. Recent upgrades to the Farm Process in MODFLOW (MF2K-FMP) allow simulating the effects of ASR deliveries and reduced pumping for farms in subregions connected to the CDS. The BMP includes a hierarchy of monthly supply alternatives, including a recovery well field around the ASR system, a supplemental wellfield, and onsite farm supply wells. The hierarchy of delivery requirements is used by MF2K-FMP to estimate the effects of these deliveries on coastal ground-water pumpage and recovery of water levels. This integrated approach can be used to assess the effectiveness of the BMP under variable climatic conditions, and to test the impacts of more complete subscription by coastal farmers to the CDS deliveries. The model will help managers assess the effects of new BMP components to further reduce pumpage and seawater intrusion.</p>","largerWorkTitle":"Modflow and more 2008: Ground water and public policy","conferenceTitle":"Modflow and more 2008: Ground water and public policy","conferenceDate":"2008-05-18T00:00:00","conferenceLocation":"Golden, CO","language":"English","publisher":"International Groundwater Modeling Center","publisherLocation":"Golden, CO","usgsCitation":"Hanson, R.T., Faunt, C., Schmid, W., and Lear, J., 2014, Simulation-optimization aids in resolving water conflict: Temecula Basin, Southern California.","ipdsId":"IP-003918","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":289429,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","city":"Temecula","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -117.190267,33.447929 ], [ -117.190267,33.554813 ], [ -117.054222,33.554813 ], [ -117.054222,33.447929 ], [ -117.190267,33.447929 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53b67b83e4b014fc094d5475","contributors":{"authors":[{"text":"Hanson, Randall T. 0000-0002-9819-7141 rthanson@usgs.gov","orcid":"https://orcid.org/0000-0002-9819-7141","contributorId":801,"corporation":false,"usgs":true,"family":"Hanson","given":"Randall","email":"rthanson@usgs.gov","middleInitial":"T.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":493013,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Faunt, Claudia C. 0000-0001-5659-7529 ccfaunt@usgs.gov","orcid":"https://orcid.org/0000-0001-5659-7529","contributorId":1491,"corporation":false,"usgs":true,"family":"Faunt","given":"Claudia C.","email":"ccfaunt@usgs.gov","affiliations":[{"id":595,"text":"U.S. Geological Survey","active":false,"usgs":true}],"preferred":false,"id":493014,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Schmid, Wolfgang","contributorId":84020,"corporation":false,"usgs":false,"family":"Schmid","given":"Wolfgang","affiliations":[{"id":13040,"text":"Department of Hydrology and Water Resources, University of Arizona","active":true,"usgs":false}],"preferred":false,"id":493016,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lear, Jonathan","contributorId":72303,"corporation":false,"usgs":true,"family":"Lear","given":"Jonathan","email":"","affiliations":[],"preferred":false,"id":493015,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70102385,"text":"70102385 - 2014 - Climate controls the distribution of a widespread invasive species: Implications for future range expansion","interactions":[],"lastModifiedDate":"2016-01-22T15:33:45","indexId":"70102385","displayToPublicDate":"2014-04-22T11:41:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1696,"text":"Freshwater Biology","active":true,"publicationSubtype":{"id":10}},"title":"Climate controls the distribution of a widespread invasive species: Implications for future range expansion","docAbstract":"<p>1. Two dominant drivers of species distributions are climate and habitat, both of which are changing rapidly. Understanding the relative importance of variables that can control distributions is critical, especially for invasive species that may spread rapidly and have strong effects on ecosystems.<br /> 2. Here, we examine the relative importance of climate and habitat variables in controlling the distribution of the widespread invasive freshwater clam <i>Corbicula fluminea</i>, and we model its future distribution under a suite of climate scenarios using logistic regression and maximum entropy modelling (MaxEnt).<br /> 3. Logistic regression identified climate variables as more important than habitat variables in controlling <i>Corbicula</i> distribution. MaxEnt modelling predicted <i>Corbicula</i>'s range expansion westward and northward to occupy half of the contiguous United States. By 2080, <i>Corbicula</i>'s potential range will expand 25&ndash;32%, with more than half of the continental United States being climatically suitable.<br /> 4. Our combination of multiple approaches has revealed the importance of climate over habitat in controlling <i>Corbicula</i>'s distribution and validates the climate-only MaxEnt model, which can readily examine the consequences of future climate projections.<br /> 5. Given the strong influence of climate variables on <i>Corbicula</i>'s distribution, as well as <i>Corbicula</i>'s ability to disperse quickly and over long distances, <i>Corbicula</i> is poised to expand into New England and the northern Midwest of the United States. Thus, the direct effects of climate change will probably be compounded by the addition of <i>Corbicula</i> and its own influences on ecosystem function.</p>","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Freshwater Biology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Wiley","doi":"10.1111/fwb.12308","usgsCitation":"McDowell, W., Benson, A., and Byers, J., 2014, Climate controls the distribution of a widespread invasive species: Implications for future range expansion: Freshwater Biology, v. 59, no. 4, p. 847-857, https://doi.org/10.1111/fwb.12308.","productDescription":"11 p.","startPage":"847","endPage":"857","numberOfPages":"11","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-046212","costCenters":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"links":[{"id":286509,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":286508,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1111/fwb.12308"}],"volume":"59","issue":"4","noUsgsAuthors":false,"publicationDate":"2014-02-05","publicationStatus":"PW","scienceBaseUri":"53578152e4b0938066bc8177","contributors":{"authors":[{"text":"McDowell, W.G.","contributorId":84666,"corporation":false,"usgs":true,"family":"McDowell","given":"W.G.","email":"","affiliations":[],"preferred":false,"id":492966,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Benson, A.J.","contributorId":60816,"corporation":false,"usgs":true,"family":"Benson","given":"A.J.","email":"","affiliations":[],"preferred":false,"id":492964,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Byers, J.E.","contributorId":70290,"corporation":false,"usgs":true,"family":"Byers","given":"J.E.","email":"","affiliations":[],"preferred":false,"id":492965,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70102305,"text":"70102305 - 2014 - Analysis and simulation of propagule dispersal and salinity intrusion from storm surge on the movement of a marsh–mangrove ecotone in South Florida","interactions":[],"lastModifiedDate":"2014-04-22T13:33:21","indexId":"70102305","displayToPublicDate":"2014-04-22T11:30:00","publicationYear":"2014","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":"Analysis and simulation of propagule dispersal and salinity intrusion from storm surge on the movement of a marsh–mangrove ecotone in South Florida","docAbstract":"Coastal mangrove–freshwater marsh ecotones of the Everglades represent transitions between marine salt-tolerant halophytic and freshwater salt-intolerant glycophytic communities. It is hypothesized here that a self-reinforcing feedback, termed a “vegetation switch,” between vegetation and soil salinity, helps maintain the sharp mangrove–marsh ecotone. A general theoretical implication of the switch mechanism is that the ecotone will be stable to small disturbances but vulnerable to rapid regime shifts from large disturbances, such as storm surges, which could cause large spatial displacements of the ecotone. We develop a simulation model to describe the vegetation switch mechanism. The model couples vegetation dynamics and hydrologic processes. The key factors in the model are the amount of salt-water intrusion into the freshwater wetland and the passive transport of mangrove (e.g., Rhizophora mangle) viviparous seeds or propagules. Results from the model simulations indicate that a regime shift from freshwater marsh to mangroves is sensitive to the duration of soil salinization through storm surge overwash and to the density of mangrove propagules or seedlings transported into the marsh. We parameterized our model with empirical hydrologic data collected from the period 2000–2010 at one mangrove–marsh ecotone location in southwestern Florida to forecast possible long-term effects of Hurricane Wilma (24 October 2005). The model indicated that the effects of that storm surge were too weak to trigger a regime shift at the sites we studied, 50 km south of the Hurricane Wilma eyewall, but simulations with more severe artificial disturbances were capable of causing substantial regime shifts.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Estuaries and Coasts","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Springer","doi":"10.1007/s12237-013-9666-4","usgsCitation":"Jiang, J., DeAngelis, D., Anderson, G.H., and Smith, T.J., 2014, Analysis and simulation of propagule dispersal and salinity intrusion from storm surge on the movement of a marsh–mangrove ecotone in South Florida: Estuaries and Coasts, v. 37, no. 1, p. 24-35, https://doi.org/10.1007/s12237-013-9666-4.","productDescription":"12 p.","startPage":"24","endPage":"35","ipdsId":"IP-041564","costCenters":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"links":[{"id":286514,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":286506,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s12237-013-9666-4"}],"country":"United States","state":"Florida","otherGeospatial":"Harney River","volume":"37","issue":"1","noUsgsAuthors":false,"publicationDate":"2013-07-12","publicationStatus":"PW","scienceBaseUri":"53578150e4b0938066bc816f","contributors":{"authors":[{"text":"Jiang, Jiang","contributorId":46838,"corporation":false,"usgs":true,"family":"Jiang","given":"Jiang","affiliations":[],"preferred":false,"id":492937,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"DeAngelis, Donald L. 0000-0002-1570-4057","orcid":"https://orcid.org/0000-0002-1570-4057","contributorId":88015,"corporation":false,"usgs":true,"family":"DeAngelis","given":"Donald L.","affiliations":[],"preferred":false,"id":492938,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Anderson, Gordon H. 0000-0003-1675-8329 gordon_anderson@usgs.gov","orcid":"https://orcid.org/0000-0003-1675-8329","contributorId":2771,"corporation":false,"usgs":true,"family":"Anderson","given":"Gordon","email":"gordon_anderson@usgs.gov","middleInitial":"H.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"preferred":true,"id":492936,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Smith, Thomas J. III tom_j_smith@usgs.gov","contributorId":1615,"corporation":false,"usgs":true,"family":"Smith","given":"Thomas","suffix":"III","email":"tom_j_smith@usgs.gov","middleInitial":"J.","affiliations":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"preferred":false,"id":492935,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70102391,"text":"70102391 - 2014 - Effect of light on biodegradation of Estrone, 17β-estradiol, and 17α-ethinylestradiol in stream sediment","interactions":[],"lastModifiedDate":"2018-09-18T16:48:18","indexId":"70102391","displayToPublicDate":"2014-04-22T11:21:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2529,"text":"Journal of the American Water Resources Association","active":true,"publicationSubtype":{"id":10}},"title":"Effect of light on biodegradation of Estrone, 17β-estradiol, and 17α-ethinylestradiol in stream sediment","docAbstract":"Biodegradation of [A-ring <sup>14</sup>C] Estrone (E1), 17β-estradiol (E2), and 17α-ethinylestradiol (EE2) to <sup>14</sup>CO<sub>2</sub> was investigated under light and dark conditions in microcosms containing epilithon or sediment collected from Boulder Creek, Colorado. Mineralization of the estrogen A-ring was observed in all sediment treatments, but not epilithon treatments. No difference in net mineralization between light and dark treatments was observed for  <sup>14</sup>C-E2. Net mineralization of <sup>14</sup>C-E1 and <sup>14</sup>C-EE2 was enhanced in light treatments. Extents of <sup>14</sup>CO<sub>2</sub> accumulation and rates of mineralization were significantly greater for E2 than E1 under dark conditions, but were comparable under light conditions. These results indicate substantial differences in the uptake and metabolism of E1 and E2 in the environment and suggest biorecalcitrance of E1 relative to E2 in light-limited environments. The extent of <sup>14</sup>CO<sub>2</sub> accumulation and rate of mineralization for EE2 in dark treatments were less than half of that observed for E2 and generally lower than for E1, consistent with previous reports of EE2 biorecalcitrance. However, <sup>14</sup>CO<sub>2</sub> accumulation and rates of mineralization were comparable for EE2, E2, and E1 under light conditions. These results indicate photoactivation and/or phototransformation/photodegradation processes can substantially enhance heterotrophic biodegradation of estrogens in sunlit environments and may play an important role in estrogen transport and attenuation.","language":"English","publisher":"American Water Resources Association","publisherLocation":"Herndon, VA","doi":"10.1111/jawr.12157","usgsCitation":"Bradley, P.M., and Writer, J.H., 2014, Effect of light on biodegradation of Estrone, 17β-estradiol, and 17α-ethinylestradiol in stream sediment: Journal of the American Water Resources Association, v. 50, no. 2, p. 334-342, https://doi.org/10.1111/jawr.12157.","productDescription":"9 p.","startPage":"334","endPage":"342","numberOfPages":"9","ipdsId":"IP-045604","costCenters":[{"id":559,"text":"South Carolina Water Science Center","active":true,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":286505,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":286499,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1111/jawr.12157"}],"country":"United States","state":"Colorado","city":"Boulder","otherGeospatial":"Boulder Creek","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -105.4775,39.9293 ], [ -105.4775,40.2 ], [ -104.9791,40.2 ], [ -104.9791,39.9293 ], [ -105.4775,39.9293 ] ] ] } } ] }","volume":"50","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53578153e4b0938066bc817f","contributors":{"authors":[{"text":"Bradley, Paul M. 0000-0001-7522-8606 pbradley@usgs.gov","orcid":"https://orcid.org/0000-0001-7522-8606","contributorId":361,"corporation":false,"usgs":true,"family":"Bradley","given":"Paul","email":"pbradley@usgs.gov","middleInitial":"M.","affiliations":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"preferred":true,"id":492983,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Writer, Jeffrey H. jwriter@usgs.gov","contributorId":1393,"corporation":false,"usgs":true,"family":"Writer","given":"Jeffrey","email":"jwriter@usgs.gov","middleInitial":"H.","affiliations":[{"id":595,"text":"U.S. Geological Survey","active":false,"usgs":true}],"preferred":false,"id":492984,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70102303,"text":"70102303 - 2014 - Invasion of Asian tiger shrimp, <i>Penaeus monodon</i> Fabricius, 1798, in the western north Atlantic and Gulf of Mexico","interactions":[],"lastModifiedDate":"2020-12-21T17:37:28.114591","indexId":"70102303","displayToPublicDate":"2014-04-22T11:04:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":868,"text":"Aquatic Invasions","active":true,"publicationSubtype":{"id":10}},"title":"Invasion of Asian tiger shrimp, <i>Penaeus monodon</i> Fabricius, 1798, in the western north Atlantic and Gulf of Mexico","docAbstract":"After going unreported in the northwestern Atlantic Ocean for 18 years (1988 to 2006), the Asian tiger shrimp, <i>Penaeus monodon</i>, has recently reappeared in the South Atlantic Bight and, for the first time ever, in the Gulf of Mexico. Potential vectors and sources of this recent invader include: 1) discharged ballast water from its native range in Asia or other areas where it has become established; 2) transport of larvae from established non-native populations in the Caribbean or South America via ocean currents; or 3) escape and subsequent migration from active aquaculture facilities in the western Atlantic. This paper documents recent collections of <i>P. monodon</i> from the South Atlantic Bight and the Gulf of Mexico, reporting demographic and preliminary phylogenetic information for specimens collected between North Carolina and Texas from 2006 through 2012. The increased number of reports in 2011 and 2012, ranging from 102 mm to 298 mm total length, indicates that an adult population is present in densities sufficient for breeding, which is indicative of incipient establishment. Based on these reports of <i>P. monodon</i>, its successful invasion elsewhere, and its life history, we believe that this species will become common in the South Atlantic Bight and Gulf of Mexico in less than 10 years. <i>Penaeus monodon</i> is an aggressive predator in its native range and, if established, may prey on native shrimps, crabs, and bivalves. The impacts of an established <i>P. monodon</i> population are potentially widespread (e.g., alterations in local commercial fisheries, direct and indirect pressures on native shrimp, crab and bivalve populations, and subsequent impacts on the populations of other predators of those organisms) and should be considered by resource managers. The impacts of <i>P. monodon</i> on native fauna and the source(s) or vector(s) of the invasion, however, remain unknown at this time.","language":"English","publisher":"Regional Euro-Asian Biological Invasions Centre","doi":"10.3391/ai.2014.9.1.05","usgsCitation":"Fuller, P., Knott, D.M., Kingsley-Smith, P.R., Morris, J., Buckel, C.A., Hunter, M., and Hartman, L.D., 2014, Invasion of Asian tiger shrimp, <i>Penaeus monodon</i> Fabricius, 1798, in the western north Atlantic and Gulf of Mexico: Aquatic Invasions, v. 9, no. 1, p. 59-70, https://doi.org/10.3391/ai.2014.9.1.05.","productDescription":"12 p.","startPage":"59","endPage":"70","numberOfPages":"12","ipdsId":"IP-048841","costCenters":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"links":[{"id":473042,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3391/ai.2014.9.1.05","text":"Publisher Index Page"},{"id":286504,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Atlantic Ocean;Gulf Of Mexico;South Atlantic Bight","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -99.05,16.38 ], [ -99.05,38.03 ], [ -63.54,38.03 ], [ -63.54,16.38 ], [ -99.05,16.38 ] ] ] } } ] }","volume":"9","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53578155e4b0938066bc818f","contributors":{"authors":[{"text":"Fuller, Pam L. 0000-0002-9389-9144","orcid":"https://orcid.org/0000-0002-9389-9144","contributorId":91226,"corporation":false,"usgs":true,"family":"Fuller","given":"Pam L.","affiliations":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"preferred":true,"id":492932,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Knott, David M.","contributorId":30145,"corporation":false,"usgs":true,"family":"Knott","given":"David","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":492929,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kingsley-Smith, Peter R.","contributorId":99895,"corporation":false,"usgs":true,"family":"Kingsley-Smith","given":"Peter","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":492934,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Morris, James A.","contributorId":52084,"corporation":false,"usgs":true,"family":"Morris","given":"James A.","affiliations":[],"preferred":false,"id":492930,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Buckel, Christine A.","contributorId":94218,"corporation":false,"usgs":true,"family":"Buckel","given":"Christine","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":492933,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hunter, Margaret E. 0000-0002-4760-9302 mhunter@usgs.gov","orcid":"https://orcid.org/0000-0002-4760-9302","contributorId":4888,"corporation":false,"usgs":true,"family":"Hunter","given":"Margaret E.","email":"mhunter@usgs.gov","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":false,"id":492928,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Hartman, Leslie D.","contributorId":58944,"corporation":false,"usgs":true,"family":"Hartman","given":"Leslie","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":492931,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70102392,"text":"70102392 - 2014 - Modeling effects of conservation grassland losses on amphibian habitat","interactions":[],"lastModifiedDate":"2018-01-04T12:17:44","indexId":"70102392","displayToPublicDate":"2014-04-22T10:52:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1015,"text":"Biological Conservation","active":true,"publicationSubtype":{"id":10}},"title":"Modeling effects of conservation grassland losses on amphibian habitat","docAbstract":"Amphibians provide many ecosystem services valued by society. However, populations have declined globally with most declines linked to habitat change. Wetlands and surrounding terrestrial grasslands form habitat for amphibians in the North American Prairie Pothole Region (PPR). Wetland drainage and grassland conversion have destroyed or degraded much amphibian habitat in the PPR. However, conservation grasslands can provide alternate habitat. In the United States, the Conservation Reserve Program (CRP) is the largest program maintaining grasslands on agricultural lands. We used an ecosystem services model (InVEST) parameterized for the PPR to quantify amphibian habitat over a six-year period (2007–2012). We then quantified changes in availability of amphibian habitat under various land-cover scenarios representing incremental losses (10%, 25%, 50%, 75%, and 100%) of CRP grasslands from 2012 levels. The area of optimal amphibian habitat in the four PPR ecoregions modeled (i.e., Northern Glaciated Plains, Northwestern Glaciated Plains, Lake Agassiz Plain, Des Moines Lobe) declined by approximately 22%, from 3.8 million ha in 2007 to 2.9 million ha in 2012. These losses were driven by the conversion of CRP grasslands to croplands, primarily for corn and soybean production. Our modeling identified an additional 0.8 million ha (26%) of optimal amphibian habitat that would be lost if remaining CRP lands are returned to crop production. An economic climate favoring commodity production over conservation has resulted in substantial losses of amphibian habitat across the PPR that will likely continue into the future. Other regions of the world face similar challenges to maintaining amphibian habitats.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Biological Conservation","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","doi":"10.1016/j.biocon.2014.04.001","usgsCitation":"Mushet, D.M., Neau, J.L., and Euliss, N.H., 2014, Modeling effects of conservation grassland losses on amphibian habitat: Biological Conservation, v. 174, p. 93-100, https://doi.org/10.1016/j.biocon.2014.04.001.","productDescription":"8 p.","startPage":"93","endPage":"100","ipdsId":"IP-045380","costCenters":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":286500,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.biocon.2014.04.001"},{"id":286503,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Prairie Pothole Region","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -103.84,41.48 ], [ -103.84,49.01 ], [ -93.12,49.01 ], [ -93.12,41.48 ], [ -103.84,41.48 ] ] ] } } ] }","volume":"174","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53578155e4b0938066bc8193","contributors":{"authors":[{"text":"Mushet, David M. 0000-0002-5910-2744 dmushet@usgs.gov","orcid":"https://orcid.org/0000-0002-5910-2744","contributorId":1299,"corporation":false,"usgs":true,"family":"Mushet","given":"David","email":"dmushet@usgs.gov","middleInitial":"M.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":492985,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Neau, Jordan L. jneau@usgs.gov","contributorId":4737,"corporation":false,"usgs":true,"family":"Neau","given":"Jordan","email":"jneau@usgs.gov","middleInitial":"L.","affiliations":[],"preferred":true,"id":492987,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Euliss, Ned H. Jr. ceuliss@usgs.gov","contributorId":2916,"corporation":false,"usgs":true,"family":"Euliss","given":"Ned","suffix":"Jr.","email":"ceuliss@usgs.gov","middleInitial":"H.","affiliations":[],"preferred":false,"id":492986,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70102388,"text":"70102388 - 2014 - Assessment of endocrine-disrupting chemicals attenuation in a coastal plain stream prior to wastewater treatment plant closure","interactions":[],"lastModifiedDate":"2018-09-18T16:47:35","indexId":"70102388","displayToPublicDate":"2014-04-22T10:49:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2529,"text":"Journal of the American Water Resources Association","active":true,"publicationSubtype":{"id":10}},"title":"Assessment of endocrine-disrupting chemicals attenuation in a coastal plain stream prior to wastewater treatment plant closure","docAbstract":"The U.S. Geological Survey is conducting a combined pre/post-closure assessment at a long-term wastewater treatment plant (WWTP) site at Fort Gordon near Augusta, Georgia. Here, we assess select endocrine-active chemicals and benthic macroinvertebrate community structure prior to closure of the WWTP. Substantial downstream transport and limited instream attenuation of endocrine-disrupting chemicals (EDCs) was observed in Spirit Creek over a 2.2-km stream segment downstream of the WWTP outfall. A modest decline (less than 20% in all cases) in surface water detections was observed with increasing distance downstream of the WWTP and attributed to partitioning to the sediment. Estrogens detected in surface water in this study included estrone (E1), 17β-estradiol (E2), and estriol (E3). The 5 ng/l and higher mean estrogen concentrations observed in downstream locations indicated that the potential for endocrine disruption was substantial. Concentrations of alkylphenol ethoxylate (APE) metabolite EDCs also remained statistically elevated above levels observed at the upstream control site. Wastewater-derived pharmaceutical and APE metabolites were detected in the outflow of Spirit Lake, indicating the potential for EDC transport to aquatic ecosystems downstream of Fort Gordon. The results indicate substantial EDC occurrence, downstream transport, and persistence under continuous supply conditions and provide a baseline for a rare evaluation of ecosystem response to WWTP closure.","language":"English","publisher":"American Water Resources Association","publisherLocation":"Herndon, VA","doi":"10.1111/jawr.12165","usgsCitation":"Bradley, P.M., and Journey, C.A., 2014, Assessment of endocrine-disrupting chemicals attenuation in a coastal plain stream prior to wastewater treatment plant closure: Journal of the American Water Resources Association, v. 50, no. 2, p. 388-400, https://doi.org/10.1111/jawr.12165.","productDescription":"13 p.","startPage":"388","endPage":"400","numberOfPages":"13","ipdsId":"IP-052310","costCenters":[{"id":559,"text":"South Carolina Water Science Center","active":true,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":286501,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":286490,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1111/jawr.12165"}],"projection":"Albers Equal-Area Conic projection","country":"United States","state":"Georgia","city":"Augusta","otherGeospatial":"Fort Gordon;Spirit Creek","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -82.400191,33.248398 ], [ -82.400191,33.501428 ], [ -81.997937,33.501428 ], [ -81.997937,33.248398 ], [ -82.400191,33.248398 ] ] ] } } ] }","volume":"50","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53578152e4b0938066bc8173","contributors":{"authors":[{"text":"Bradley, Paul M. 0000-0001-7522-8606 pbradley@usgs.gov","orcid":"https://orcid.org/0000-0001-7522-8606","contributorId":361,"corporation":false,"usgs":true,"family":"Bradley","given":"Paul","email":"pbradley@usgs.gov","middleInitial":"M.","affiliations":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"preferred":true,"id":492981,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Journey, Celeste A. 0000-0002-2284-5851 cjourney@usgs.gov","orcid":"https://orcid.org/0000-0002-2284-5851","contributorId":2617,"corporation":false,"usgs":true,"family":"Journey","given":"Celeste","email":"cjourney@usgs.gov","middleInitial":"A.","affiliations":[{"id":559,"text":"South Carolina Water Science Center","active":true,"usgs":true},{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"preferred":false,"id":492982,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70059991,"text":"sir20145001 - 2014 - Status of groundwater quality in the Borrego Valley, Central Desert, and Low-Use Basins of the Mojave and Sonoran Deserts study unit, 2008-2010: California GAMA Priority Basin Project","interactions":[],"lastModifiedDate":"2014-04-22T10:32:46","indexId":"sir20145001","displayToPublicDate":"2014-04-22T10:26:00","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2014-5001","title":"Status of groundwater quality in the Borrego Valley, Central Desert, and Low-Use Basins of the Mojave and Sonoran Deserts study unit, 2008-2010: California GAMA Priority Basin Project","docAbstract":"<p>Groundwater quality in the approximately 963-square-mile Borrego Valley, Central Desert, and Low-Use Basins of the Mojave and Sonoran Deserts study unit was investigated as part of the Priority Basin Project of the Groundwater Ambient Monitoring and Assessment (GAMA) Program. The study unit is located in southern California in San Bernardino, Riverside, San Diego, and Imperial Counties. The GAMA Priority Basin Project is being conducted by the California State Water Resources Control Board in collaboration with the U.S. Geological Survey and the Lawrence Livermore National Laboratory.</p>\n<br/>\n<p>The GAMA Borrego Valley, Central Desert, and Low-Use Basins of the Mojave and Sonoran Deserts study was designed to provide a spatially unbiased assessment of the quality of untreated (raw) groundwater in the primary aquifer system. The assessment is based on water-quality and ancillary data collected by the U.S. Geological Survey from 52 wells (49 grid wells and 3 understanding wells) and on water-quality data from the California Department of Public Health database. The primary aquifer system was defined by the depth intervals of the wells listed in the California Department of Public Health database for the Borrego Valley, Central Desert, and Low-Use Basins of the Mojave and Sonoran Deserts study unit. The quality of groundwater in the primary aquifer system may be different from that in the shallower or deeper water-bearing zones; shallow groundwater may be more vulnerable to surficial contamination.</p>\n<br/>\n<p>This study assesses the status of the current quality of the groundwater resource by using data from samples analyzed for volatile organic compounds (VOCs), pesticides, and naturally occurring inorganic constituents, such as major ions and trace elements. This status assessment is intended to characterize the quality of groundwater resources in the primary aquifer system of the Borrego Valley, Central Desert, and Low-Use Basins of the Mojave and Sonoran Deserts study unit, not the treated drinking water delivered to consumers by water purveyors.</p>\n<br/>\n<p>Relative-concentrations (sample concentration divided by the health- or aesthetic-based benchmark concentration) were used for evaluating groundwater quality for those constituents that have Federal or California regulatory or non-regulatory benchmarks for drinking-water quality. A relative-concentration greater than 1.0 indicates a concentration greater than a benchmark, and a relative-concentration less than or equal to 1.0 indicates a concentration equal to or less than a benchmark. Relative-concentrations of organic constituents and special-interest constituents [perchlorate and N-nitrosodimethylamine (NDMA)] were classified as high (relative-concentration greater than 1.0), moderate (relative-concentration greater than 0.1 and less than or equal to 1.0), or low (relative-concentration less than or equal to 0.1). Relative-concentrations of inorganic constituents were classified as high (relative-concentration greater than 1.0), moderate (relative-concentration greater than 0.5 and less than or equal to 1.0), or low (relative-concentration less than or equal to 0.5).</p>\n<br/>\n<p>Aquifer-scale proportion was used as the primary metric in the status assessment for evaluating regional-scale groundwater quality. High aquifer-scale proportion is defined as the percentage of the area of the primary aquifer system with a high relative-concentration for a particular constituent or class of constituents; this percentage is based on an areal rather than a volumetric basis. Moderate and low aquifer-scale proportions were defined as the percentages of the primary aquifer system with moderate and low relative-concentrations, respectively, of a constituent or class of constituents. Two statistical approaches—grid-based and spatially weighted—were used to evaluate aquifer-scale proportions for individual constituents and classes of constituents. Grid-based and spatially weighted estimates were comparable to each other (within 90-percent confidence intervals) in the study unit.</p>\n<br/>\n<p>Inorganic constituents (one or more) with health-based benchmarks were detected at high relative-concentrations in 48 percent of the primary aquifer system and at moderate relative-concentrations in 26 percent of the primary aquifer system. The high aquifer-scale proportion of inorganic constituents primarily reflected high aquifer-scale proportions of fluoride (27 percent), arsenic (18 percent), molybdenum (16 percent), boron (10 percent), uranium (5.6 percent), gross alpha radioactivity (9.7 percent), and nitrate (2.7 percent). The inorganic constituents with secondary maximum contaminant levels (SMCLs) were detected at high relative-concentrations in 13 percent of the primary aquifer system and at moderate relative-concentrations in 39 percent. The high aquifer-scale proportion for SMCL constituents reflected high aquifer-scale proportions of total dissolved solids (TDS, 11 percent), manganese (2.8 percent), and chloride (2.8 percent).</p>\n<br/>\n<p>Organic constituents were not detected at high relative-concentrations in the primary aquifer system, and were present at moderate relative-concentrations in 5.0 percent, and at low relative-concentrations or were not detected in 95 percent of the primary aquifer system. Of the 148 organic constituents analyzed, 12 constituents were detected. Two organic constituents, chloroform and tetrachloroethene (PCE), were detected in more than 10 percent of samples, but were detected mostly at low relative-concentrations.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20145001","collaboration":"A product of the California Groundwater Ambient Monitoring and Assessment (GAMA) Program. Prepared in cooperation with the California State Water Resources Control Board","usgsCitation":"Parsons, M.C., Hancock, T.C., Kulongoski, J., and Belitz, K., 2014, Status of groundwater quality in the Borrego Valley, Central Desert, and Low-Use Basins of the Mojave and Sonoran Deserts study unit, 2008-2010: California GAMA Priority Basin Project: U.S. Geological Survey Scientific Investigations Report 2014-5001, viii, 88 p., https://doi.org/10.3133/sir20145001.","productDescription":"viii, 88 p.","numberOfPages":"100","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-027935","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":286497,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20145001.jpg"},{"id":286487,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2014/5001/"},{"id":286495,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2014/5001/pdf/sir2014-5001.pdf"},{"id":286496,"type":{"id":22,"text":"Related Work"},"url":"https://pubs.usgs.gov/fs/2014/3001/"}],"projection":"Albers Equal Area Conic Projection","country":"United States","state":"California","county":"Imperial County;Riverside County;San Bernardino County;San Diego County","otherGeospatial":"Borrego Valley;Mojave Desert;Sonoran Desert","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -124.82,32.24 ], [ -124.82,42.12 ], [ -113.99,42.12 ], [ -113.99,32.24 ], [ -124.82,32.24 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53578159e4b0938066bc819f","contributors":{"authors":[{"text":"Parsons, Mary C. mparsons@usgs.gov","contributorId":1571,"corporation":false,"usgs":true,"family":"Parsons","given":"Mary","email":"mparsons@usgs.gov","middleInitial":"C.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":487866,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hancock, Tracy Connell","contributorId":62295,"corporation":false,"usgs":true,"family":"Hancock","given":"Tracy","email":"","middleInitial":"Connell","affiliations":[],"preferred":false,"id":487867,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kulongoski, Justin T. 0000-0002-3498-4154","orcid":"https://orcid.org/0000-0002-3498-4154","contributorId":94750,"corporation":false,"usgs":true,"family":"Kulongoski","given":"Justin T.","affiliations":[],"preferred":false,"id":487868,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Belitz, Kenneth 0000-0003-4481-2345 kbelitz@usgs.gov","orcid":"https://orcid.org/0000-0003-4481-2345","contributorId":442,"corporation":false,"usgs":true,"family":"Belitz","given":"Kenneth","email":"kbelitz@usgs.gov","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true},{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true},{"id":376,"text":"Massachusetts Water Science Center","active":true,"usgs":true},{"id":27111,"text":"National Water Quality Program","active":true,"usgs":true},{"id":503,"text":"Office of Water Quality","active":true,"usgs":true}],"preferred":true,"id":487865,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70102311,"text":"70102311 - 2014 - Network analysis reveals multiscale controls on streamwater chemistry","interactions":[],"lastModifiedDate":"2014-05-16T16:24:02","indexId":"70102311","displayToPublicDate":"2014-04-22T10:19:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3164,"text":"Proceedings of the National Academy of Sciences","active":true,"publicationSubtype":{"id":10}},"title":"Network analysis reveals multiscale controls on streamwater chemistry","docAbstract":"By coupling synoptic data from a basin-wide assessment of streamwater chemistry with network-based geostatistical analysis, we show that spatial processes differentially affect biogeochemical condition and pattern across a headwater stream network. We analyzed a high-resolution dataset consisting of 664 water samples collected every 100 m throughout 32 tributaries in an entire fifth-order stream network. These samples were analyzed for an exhaustive suite of chemical constituents. The fine grain and broad extent of this study design allowed us to quantify spatial patterns over a range of scales by using empirical semivariograms that explicitly incorporated network topology. Here, we show that spatial structure, as determined by the characteristic shape of the semivariograms, differed both among chemical constituents and by spatial relationship (flow-connected, flow-unconnected, or Euclidean). Spatial structure was apparent at either a single scale or at multiple nested scales, suggesting separate processes operating simultaneously within the stream network and surrounding terrestrial landscape. Expected patterns of spatial dependence for flow-connected relationships (e.g., increasing homogeneity with downstream distance) occurred for some chemical constituents (e.g., dissolved organic carbon, sulfate, and aluminum) but not for others (e.g., nitrate, sodium). By comparing semivariograms for the different chemical constituents and spatial relationships, we were able to separate effects on streamwater chemistry of (i) fine-scale versus broad-scale processes and (ii) in-stream processes versus landscape controls. These findings provide insight on the hierarchical scaling of local, longitudinal, and landscape processes that drive biogeochemical patterns in stream networks.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Proceedings of the National Academy of Sciences","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"United States National Academy of Sciences","doi":"10.1073/pnas.1404820111","usgsCitation":"McGuire, K.J., Torgersen, C., Likens, G.E., Buso, D.C., Lowe, W., and Bailey, S.W., 2014, Network analysis reveals multiscale controls on streamwater chemistry: Proceedings of the National Academy of Sciences, v. 111, no. 19, p. 7030-7035, https://doi.org/10.1073/pnas.1404820111.","productDescription":"6 p.","startPage":"7030","endPage":"7035","numberOfPages":"6","ipdsId":"IP-052532","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":473043,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1073/pnas.1404820111","text":"External Repository"},{"id":286498,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":286473,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1073/pnas.1404820111"}],"volume":"111","issue":"19","noUsgsAuthors":false,"publicationDate":"2014-04-21","publicationStatus":"PW","scienceBaseUri":"53578156e4b0938066bc8197","contributors":{"authors":[{"text":"McGuire, Kevin J.","contributorId":69870,"corporation":false,"usgs":true,"family":"McGuire","given":"Kevin","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":492944,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Torgersen, Christian E. 0000-0001-8325-2737","orcid":"https://orcid.org/0000-0001-8325-2737","contributorId":48143,"corporation":false,"usgs":true,"family":"Torgersen","given":"Christian E.","affiliations":[],"preferred":false,"id":492941,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Likens, Gene E.","contributorId":56363,"corporation":false,"usgs":true,"family":"Likens","given":"Gene","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":492942,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Buso, Donald C.","contributorId":33212,"corporation":false,"usgs":true,"family":"Buso","given":"Donald","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":492939,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Lowe, Winsor H.","contributorId":64532,"corporation":false,"usgs":false,"family":"Lowe","given":"Winsor H.","affiliations":[{"id":5097,"text":"University of Montana, Division of Biological Sciences","active":true,"usgs":false}],"preferred":false,"id":492943,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Bailey, Scott W. 0000-0002-9160-156X","orcid":"https://orcid.org/0000-0002-9160-156X","contributorId":36840,"corporation":false,"usgs":true,"family":"Bailey","given":"Scott","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":492940,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70066530,"text":"fs20143001 - 2014 - Groundwater quality in the Borrego Valley, Central Desert, and Low-Use Basins of the Mojave and Sonoran Deserts, California","interactions":[],"lastModifiedDate":"2014-04-22T10:33:19","indexId":"fs20143001","displayToPublicDate":"2014-04-22T10:14:00","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2014-3001","title":"Groundwater quality in the Borrego Valley, Central Desert, and Low-Use Basins of the Mojave and Sonoran Deserts, California","docAbstract":"Groundwater provides more than 40 percent of California’s drinking water. To protect this vital resource, the State of California created the Groundwater Ambient Monitoring and Assessment (GAMA) Program. The Priority Basin Project of the GAMA Program provides a comprehensive assessment of the State’s untreated groundwater quality and increases public access to groundwater-quality information. Selected groundwater basins in the Borrego Valley, Central Desert, and Low-Use Basins of the Mojave and Sonoran Deserts constitute one of the study units being evaluated.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20143001","collaboration":"U.S. Geological Survey and the California State Water Resources Control Board","usgsCitation":"Parsons, M.C., and Belitz, K., 2014, Groundwater quality in the Borrego Valley, Central Desert, and Low-Use Basins of the Mojave and Sonoran Deserts, California: U.S. Geological Survey Fact Sheet 2014-3001, 4 p., https://doi.org/10.3133/fs20143001.","productDescription":"4 p.","numberOfPages":"4","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-033730","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":286494,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs20143001.GIF"},{"id":286493,"type":{"id":22,"text":"Related Work"},"url":"https://pubs.usgs.gov/sir/2014/5001"},{"id":286488,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2014/3001/"},{"id":286492,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2014/3001/pdf/fs2014-3001.pdf"}],"projection":"Albers Equal Area Conic Projection","country":"United States","state":"California","otherGeospatial":"Borrego Valley;Mojave Desert;Sonoran Desert","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -118.4436,32.4982 ], [ -118.4436,35.978 ], [ -113.9941,35.978 ], [ -113.9941,32.4982 ], [ -118.4436,32.4982 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53578154e4b0938066bc8187","contributors":{"authors":[{"text":"Parsons, Mary C. mparsons@usgs.gov","contributorId":1571,"corporation":false,"usgs":true,"family":"Parsons","given":"Mary","email":"mparsons@usgs.gov","middleInitial":"C.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":487983,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Belitz, Kenneth 0000-0003-4481-2345 kbelitz@usgs.gov","orcid":"https://orcid.org/0000-0003-4481-2345","contributorId":442,"corporation":false,"usgs":true,"family":"Belitz","given":"Kenneth","email":"kbelitz@usgs.gov","affiliations":[{"id":27111,"text":"National Water Quality Program","active":true,"usgs":true},{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true},{"id":376,"text":"Massachusetts Water Science Center","active":true,"usgs":true},{"id":466,"text":"New England Water Science Center","active":true,"usgs":true},{"id":503,"text":"Office of Water Quality","active":true,"usgs":true}],"preferred":true,"id":487982,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70102296,"text":"70102296 - 2014 - Persistent organic contaminants in Saharan dust air masses in West Africa, Cape Verde and the eastern Caribbean","interactions":[],"lastModifiedDate":"2014-04-29T09:25:49","indexId":"70102296","displayToPublicDate":"2014-04-22T10:01:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3352,"text":"Science of the Total Environment","active":true,"publicationSubtype":{"id":10}},"title":"Persistent organic contaminants in Saharan dust air masses in West Africa, Cape Verde and the eastern Caribbean","docAbstract":"Anthropogenic semivolatile organic compounds (SOCs) that persist in the environment, bioaccumulate, are toxic at low concentrations, and undergo long-range atmospheric transport (LRT) were identified and quantified in the atmosphere of a Saharan dust source region (Mali) and during Saharan dust incursions at downwind sites in the eastern Caribbean (U.S. Virgin Islands, Trinidad and Tobago) and Cape Verde. More organochlorine and organophosphate pesticides (OCPPs), polycyclic aromatic hydrocarbons (PAHs), and polychlorinated biphenyl (PCB) congeners were detected in the Saharan dust region than at downwind sites. Seven of the 13 OCPPs detected occurred at all sites: chlordanes, chlorpyrifos, dacthal, dieldrin, endosulfans, hexachlorobenzene (HCB), and trifluralin. Total SOCs ranged from 1.9–126 ng/m<sup>3</sup> (mean = 25 ± 34) at source and 0.05–0.71 ng/m<sup>3</sup> (mean = 0.24 ± 0.18) at downwind sites during dust conditions. Most SOC concentrations were 1–3 orders of magnitude higher in source than downwind sites. A Saharan source was confirmed for sampled air masses at downwind sites based on dust particle elemental composition and rare earth ratios, atmospheric back trajectory models, and field observations. SOC concentrations were considerably below existing occupational and/or regulatory limits; however, few regulatory limits exist for these persistent organic compounds. Long-term effects of chronic exposure to low concentrations of SOCs are unknown, as are possible additive or synergistic effects of mixtures of SOCs, biologically active trace metals, and mineral dust particles transported together in Saharan dust air masses.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Science of the Total Environment","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","doi":"10.1016/j.scitotenv.2013.08.076","usgsCitation":"Garrison, V.H., Majewski, M.S., Foreman, W., Genualdi, S.A., Mohammed, A., and Massey Simonich, S., 2014, Persistent organic contaminants in Saharan dust air masses in West Africa, Cape Verde and the eastern Caribbean: Science of the Total Environment, v. 468-469, p. 530-543, https://doi.org/10.1016/j.scitotenv.2013.08.076.","productDescription":"14 p.","startPage":"530","endPage":"543","numberOfPages":"14","ipdsId":"IP-049426","costCenters":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"links":[{"id":286491,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":286462,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.scitotenv.2013.08.076"}],"country":"Cape Verde;Mali;Trinidad And Tobago;U.S. Virgin Islands","otherGeospatial":"Caribbean;Sahara","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -99.44,-13.18 ], [ -99.44,42.63 ], [ 15.38,42.63 ], [ 15.38,-13.18 ], [ -99.44,-13.18 ] ] ] } } ] }","volume":"468-469","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53578157e4b0938066bc819b","chorus":{"doi":"10.1016/j.scitotenv.2013.08.076","url":"http://dx.doi.org/10.1016/j.scitotenv.2013.08.076","publisher":"Elsevier BV","authors":"Garrison V.H., Majewski M.S., Foreman W.T., Genualdi S.A., Mohammed A., Massey Simonich S.L.","journalName":"Science of The Total Environment","publicationDate":"1/2014"},"contributors":{"authors":[{"text":"Garrison, Virginia H. ginger_garrison@usgs.gov","contributorId":2386,"corporation":false,"usgs":true,"family":"Garrison","given":"Virginia","email":"ginger_garrison@usgs.gov","middleInitial":"H.","affiliations":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"preferred":true,"id":492912,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Majewski, Michael S. majewski@usgs.gov","contributorId":440,"corporation":false,"usgs":true,"family":"Majewski","given":"Michael","email":"majewski@usgs.gov","middleInitial":"S.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":492910,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Foreman, William T. wforeman@usgs.gov","contributorId":1473,"corporation":false,"usgs":true,"family":"Foreman","given":"William T.","email":"wforeman@usgs.gov","affiliations":[{"id":452,"text":"National Water Quality Laboratory","active":true,"usgs":true}],"preferred":false,"id":492911,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Genualdi, Susan A.","contributorId":94024,"corporation":false,"usgs":true,"family":"Genualdi","given":"Susan","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":492915,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Mohammed, Azad","contributorId":37873,"corporation":false,"usgs":true,"family":"Mohammed","given":"Azad","email":"","affiliations":[],"preferred":false,"id":492914,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Massey Simonich, Stacy L.","contributorId":30147,"corporation":false,"usgs":true,"family":"Massey Simonich","given":"Stacy L.","affiliations":[],"preferred":false,"id":492913,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70102285,"text":"70102285 - 2014 - Variation in the hindgut microbial communities of the Florida manatee, Trichechus manatus latirostris over winter in Crystal River, Florida","interactions":[],"lastModifiedDate":"2014-04-22T09:45:38","indexId":"70102285","displayToPublicDate":"2014-04-22T09:21:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1619,"text":"FEMS Microbiology Ecology","onlineIssn":"1574-6941","printIssn":"0168-6496","active":true,"publicationSubtype":{"id":10}},"title":"Variation in the hindgut microbial communities of the Florida manatee, Trichechus manatus latirostris over winter in Crystal River, Florida","docAbstract":"The Florida manatee, Trichechus manatus latirostris, is a hindgut-fermenting herbivore. In winter, manatees migrate to warm water overwintering sites where they undergo dietary shifts and may suffer from cold-induced stress. Given these seasonally induced changes in diet, the present study aimed to examine variation in the hindgut bacterial communities of wild manatees overwintering at Crystal River, west Florida. Faeces were sampled from 36 manatees of known sex and body size in early winter when manatees were newly arrived and then in mid-winter and late winter when diet had probably changed and environmental stress may have increased. Concentrations of faecal cortisol metabolite, an indicator of a stress response, were measured by enzyme immunoassay. Using 454-pyrosequencing, 2027 bacterial operational taxonomic units were identified in manatee faeces following amplicon pyrosequencing of the 16S rRNA gene V3/V4 region. Classified sequences were assigned to eight previously described bacterial phyla; only 0.36% of sequences could not be classified to phylum level. Five core phyla were identified in all samples. The majority (96.8%) of sequences were classified as Firmicutes (77.3 ± 11.1% of total sequences) or Bacteroidetes (19.5 ± 10.6%). Alpha-diversity measures trended towards higher diversity of hindgut microbiota in manatees in mid-winter compared to early and late winter. Beta-diversity measures, analysed through permanova, also indicated significant differences in bacterial communities based on the season.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"FEMS Microbiology Ecology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Wiley","doi":"10.1111/1574-6941.12248","usgsCitation":"Merson, S.D., Ouwerkerk, D., Gulino, L., Klieve, A., Bonde, R.K., Burgess, E., and Lanyon, J., 2014, Variation in the hindgut microbial communities of the Florida manatee, Trichechus manatus latirostris over winter in Crystal River, Florida: FEMS Microbiology Ecology, v. 87, no. 3, p. 601-615, https://doi.org/10.1111/1574-6941.12248.","productDescription":"15 p.","startPage":"601","endPage":"615","ipdsId":"IP-044337","costCenters":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"links":[{"id":473045,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/1574-6941.12248","text":"Publisher Index Page"},{"id":286480,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":286479,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1111/1574-6941.12248"}],"country":"United States","state":"Florida","city":"Crystal River","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -82.654634,28.878714 ], [ -82.654634,28.92537 ], [ -82.56939,28.92537 ], [ -82.56939,28.878714 ], [ -82.654634,28.878714 ] ] ] } } ] }","volume":"87","issue":"3","noUsgsAuthors":false,"publicationDate":"2013-12-09","publicationStatus":"PW","scienceBaseUri":"5357815ae4b0938066bc81a7","contributors":{"authors":[{"text":"Merson, Samuel D.","contributorId":40521,"corporation":false,"usgs":true,"family":"Merson","given":"Samuel","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":492883,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ouwerkerk, Diane","contributorId":90221,"corporation":false,"usgs":true,"family":"Ouwerkerk","given":"Diane","email":"","affiliations":[],"preferred":false,"id":492887,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gulino, Lisa-Maree","contributorId":51658,"corporation":false,"usgs":true,"family":"Gulino","given":"Lisa-Maree","email":"","affiliations":[],"preferred":false,"id":492884,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Klieve, Athol","contributorId":77459,"corporation":false,"usgs":true,"family":"Klieve","given":"Athol","email":"","affiliations":[],"preferred":false,"id":492885,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bonde, Robert K. 0000-0001-9179-4376 rbonde@usgs.gov","orcid":"https://orcid.org/0000-0001-9179-4376","contributorId":2675,"corporation":false,"usgs":true,"family":"Bonde","given":"Robert","email":"rbonde@usgs.gov","middleInitial":"K.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"preferred":true,"id":492881,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Burgess, Elizabeth A.","contributorId":85510,"corporation":false,"usgs":true,"family":"Burgess","given":"Elizabeth A.","affiliations":[],"preferred":false,"id":492886,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Lanyon, Janet M.","contributorId":29117,"corporation":false,"usgs":true,"family":"Lanyon","given":"Janet M.","affiliations":[],"preferred":false,"id":492882,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70102302,"text":"70102302 - 2014 - West Nile Virus transmission in winter: the 2013 Great Salt Lake Bald Eagle and Eared Grebes Mortality event","interactions":[],"lastModifiedDate":"2018-01-17T10:59:38","indexId":"70102302","displayToPublicDate":"2014-04-22T08:56:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2977,"text":"PLOS Current Outbreaks","active":true,"publicationSubtype":{"id":10}},"title":"West Nile Virus transmission in winter: the 2013 Great Salt Lake Bald Eagle and Eared Grebes Mortality event","docAbstract":"<p>West Nile Virus (WNV) infection has been reported in over 300 species of birds and mammals. Raptors such as eagles, hawks and falcons are remarkably susceptible, but reports of WNV infection in Bald Eagles (Haliaeetus leucocephalus) are rare and reports of WNV infection in grebes (Podicipediformes) even rarer. We report an unusually large wild bird mortality event involving between 15,000-20,000 Eared Grebes (Podiceps nigricollis) and over 40 Bald Eagles around the Great Salt Lake, Utah, in November-December 2013. Mortality in grebes was first reported in early November during a period when the area was unseasonably warm and the grebes were beginning to gather and stage prior to migration. Ten out of ten Eared Grebes collected during this period were WNV RT-PCR and/or isolation positive. This is the first report of WNV infection in Eared Grebes and the associated mortality event is matched in scale only by the combined outbreaks in American White Pelican (Pelecanus erythrorhynchos) colonies in the north central states in 2002-2003. We cannot be sure that all of the grebes were infected by mosquito transmission; some may have become infected through contact with WNV shed orally or cloacally from other infected grebes. Beginning in early December, Bald Eagles in the Great Salt Lake area were observed to display neurological signs such as body tremors, limb paralysis and lethargy. At least 43 Bald Eagles had died by the end of the month. Nine of nine Bald Eagles examined were infected with WNV. To the best of our knowledge, this is the largest single raptor mortality event since WNV became endemic in the USA. Because the majority of the eagles affected were found after onset of below-freezing temperatures, we suggest at least some of the Bald Eagles were infected with WNV via consumption of infected Eared Grebes or horizontal transmission at roost sites.</p>","language":"English","publisher":"PLoS","doi":"10.1371/currents.outbreaks.b0f031fc8db2a827d9da0f30f0766871","usgsCitation":"Ip, S., Van Wettere, A.J., McFarlan, L., Shearn-Bochsler, V.I., Dickson, S.L., Baker, J., Hatch, G., Cavender, K., Long, R.R., and Bodenstein, B.L., 2014, West Nile Virus transmission in winter: the 2013 Great Salt Lake Bald Eagle and Eared Grebes Mortality event: PLOS Current Outbreaks, 12 p., https://doi.org/10.1371/currents.outbreaks.b0f031fc8db2a827d9da0f30f0766871.","productDescription":"12 p.","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-054081","costCenters":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"links":[{"id":473046,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://www.ncbi.nlm.nih.gov/pmc/articles/3994192","text":"Publisher Index Page"},{"id":286478,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":286477,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1371/currents.outbreaks.b0f031fc8db2a827d9da0f30f0766871"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5357815ae4b0938066bc81ab","contributors":{"authors":[{"text":"Ip, S. 0000-0003-4844-7533 hip@usgs.gov","orcid":"https://orcid.org/0000-0003-4844-7533","contributorId":727,"corporation":false,"usgs":true,"family":"Ip","given":"S.","email":"hip@usgs.gov","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":492918,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Van Wettere, Arnaud J.","contributorId":63317,"corporation":false,"usgs":true,"family":"Van Wettere","given":"Arnaud","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":492925,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"McFarlan, Leslie","contributorId":71482,"corporation":false,"usgs":true,"family":"McFarlan","given":"Leslie","email":"","affiliations":[],"preferred":false,"id":492926,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Shearn-Bochsler, Valerie I. 0000-0002-5590-6518 vbochsler@usgs.gov","orcid":"https://orcid.org/0000-0002-5590-6518","contributorId":3234,"corporation":false,"usgs":true,"family":"Shearn-Bochsler","given":"Valerie","email":"vbochsler@usgs.gov","middleInitial":"I.","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":492919,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Dickson, Sammie L.","contributorId":107617,"corporation":false,"usgs":true,"family":"Dickson","given":"Sammie","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":492927,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Baker, JoDee","contributorId":60956,"corporation":false,"usgs":true,"family":"Baker","given":"JoDee","email":"","affiliations":[],"preferred":false,"id":492924,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Hatch, Gary","contributorId":42877,"corporation":false,"usgs":true,"family":"Hatch","given":"Gary","email":"","affiliations":[],"preferred":false,"id":492923,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Cavender, Kimberly","contributorId":23449,"corporation":false,"usgs":true,"family":"Cavender","given":"Kimberly","email":"","affiliations":[],"preferred":false,"id":492922,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Long, Renee Romaine rlong@usgs.gov","contributorId":3826,"corporation":false,"usgs":true,"family":"Long","given":"Renee","email":"rlong@usgs.gov","middleInitial":"Romaine","affiliations":[],"preferred":true,"id":492920,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Bodenstein, Barbara L. 0000-0001-7946-0103 bbodenstein@usgs.gov","orcid":"https://orcid.org/0000-0001-7946-0103","contributorId":4389,"corporation":false,"usgs":true,"family":"Bodenstein","given":"Barbara","email":"bbodenstein@usgs.gov","middleInitial":"L.","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":492921,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}}
,{"id":70098181,"text":"sir20145043 - 2014 - Integrated synoptic surveys of the hydrodynamics and water-quality distributions in two Lake Michigan rivermouth mixing zones using an autonomous underwater vehicle and a manned boat","interactions":[],"lastModifiedDate":"2014-04-22T09:03:20","indexId":"sir20145043","displayToPublicDate":"2014-04-21T16:22:00","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2014-5043","title":"Integrated synoptic surveys of the hydrodynamics and water-quality distributions in two Lake Michigan rivermouth mixing zones using an autonomous underwater vehicle and a manned boat","docAbstract":"<p>The U.S. Geological Survey (USGS), in cooperation with the National Monitoring Network for U.S. Coastal Waters and Tributaries, launched a pilot project in 2010 to determine the value of integrated synoptic surveys of rivermouths using autonomous underwater vehicle technology in response to a call for rivermouth research, which includes study domains that envelop both the fluvial and lacustrine boundaries of the rivermouth mixing zone. The pilot project was implemented at two Lake Michigan rivermouths with largely different scales, hydrodynamics, and settings, but employing primarily the same survey techniques and methods. The Milwaukee River Estuary Area of Concern (AOC) survey included measurements in the lower 2 to 3 miles of the Milwaukee, Menomonee, and Kinnickinnic Rivers and inner and outer Milwaukee Harbor. This estuary is situated in downtown Milwaukee, Wisconsin, and is the most populated basin that flows directly into Lake Michigan. In contrast, the Manitowoc rivermouth has a relatively small harbor separating the rivermouth from Lake Michigan, and the Manitowoc River Watershed is primarily agricultural. Both the Milwaukee and Manitowoc rivermouths are unregulated and allow free exchange of water with Lake Michigan.</p>\n<br/>\n<p>This pilot study of the Milwaukee River Estuary and Manitowoc rivermouth using an autonomous underwater vehicle (AUV) paired with a manned survey boat resulted in high spatial and temporal resolution datasets of basic water-quality parameter distributions and hydrodynamics. The AUV performed well in these environments and was found primarily well-suited for harbor and nearshore surveys of three-dimensional water-quality distributions. Both case studies revealed that the use of a manned boat equipped with an acoustic Doppler current profiler (ADCP) and multiparameter sonde (and an optional flow-through water-quality sampling system) was the best option for riverine surveys. To ensure that the most accurate and highest resolution velocity data were collected concurrently with the AUV surveys, the pilot study used a manned boat equipped with an ADCP. Combining the AUV and manned boat datasets resulted in datasets that are essentially continuous from the fluvial through the lacustrine zones of a rivermouth. Whereas the pilot studies were completed during low flows on the tributaries, completion of surveys at higher flows using the same techniques is possible, but the use of the AUV would be limited to areas with relatively low velocities (less than 2 feet per second) such as the harbors and nearshore zones of Lake Michigan.</p>\n<br/>\n<p>Overall, this pilot study aimed at evaluation of AUV technology for integrated synoptic surveys of rivermouth mixing zones was successful, and the techniques and methods employed in this pilot study should be transferrable to other sites with similar success. The use of the AUV provided significant time savings compared to traditional sampling techniques. For example, the survey of outer Milwaukee Harbor using the AUV required less than 7 hours for approximately 600 profiles compared to the 150 hours it would have taken using traditional methods in a manned boat (a 95 percent reduction in man-hours). The integrated datasets resulting from the AUV and manned survey boat are of high value and present a picture of the mixing and hydrodynamics of these highly dynamic, highly variable rivermouth mixing zones from the relatively well-mixed fluvial environment through the rivermouth to the stratified lacustrine receiving body of Lake Michigan. Such datasets not only allow researchers to understand more about the physical processes occurring in these rivermouths, but they provide high spatial resolution data required for interpretation of relations between disparate point samples and calibration and validation of numerical models.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20145043","collaboration":"Prepared in cooperation with the National Monitoring Network for U.S. Coastal Waters and Tributaries","usgsCitation":"Jackson, P., and Reneau, P.C., 2014, Integrated synoptic surveys of the hydrodynamics and water-quality distributions in two Lake Michigan rivermouth mixing zones using an autonomous underwater vehicle and a manned boat: U.S. Geological Survey Scientific Investigations Report 2014-5043, vi, 33 p., https://doi.org/10.3133/sir20145043.","productDescription":"vi, 33 p.","numberOfPages":"44","onlineOnly":"Y","ipdsId":"IP-050916","costCenters":[{"id":344,"text":"Illinois Water Science Center","active":true,"usgs":true}],"links":[{"id":286476,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20145043.jpg"},{"id":286474,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2014/5043/"},{"id":286475,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2014/5043/pdf/sir2014-5043.pdf"}],"country":"United States","state":"Wisconsin","city":"Milwaukee","otherGeospatial":"Kinnickinnic River;Lake Michigan;Manitowoc River;Menomonee River;Milwaukee Harbor;Milwaukee River Estuary","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -88.000152,42.948968 ], [ -88.000152,43.127852 ], [ -87.840638,43.127852 ], [ -87.840638,42.948968 ], [ -88.000152,42.948968 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5356c592e4b03a277fd6afbb","contributors":{"authors":[{"text":"Jackson, P. Ryan","contributorId":68571,"corporation":false,"usgs":true,"family":"Jackson","given":"P. Ryan","affiliations":[],"preferred":false,"id":491677,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Reneau, Paul C. 0000-0002-1335-7573 pcreneau@usgs.gov","orcid":"https://orcid.org/0000-0002-1335-7573","contributorId":4385,"corporation":false,"usgs":true,"family":"Reneau","given":"Paul","email":"pcreneau@usgs.gov","middleInitial":"C.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":491676,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70095579,"text":"sir20145011 - 2014 - Subsidence (2004-2009) in and near lakebeds of the Mojave River and Morongo groundwater basins, southwest Mojave Desert, California","interactions":[],"lastModifiedDate":"2017-06-23T09:38:10","indexId":"sir20145011","displayToPublicDate":"2014-04-21T16:02:00","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2014-5011","title":"Subsidence (2004-2009) in and near lakebeds of the Mojave River and Morongo groundwater basins, southwest Mojave Desert, California","docAbstract":"Subsidence, in the vicinity of dry lakebeds, within the Mojave River and Morongo groundwater basins of the southwest Mojave Desert has been measured by Interferometric Synthetic Aperture Radar (InSAR). The investigation has focused on determining the location, extent, and magnitude of changes in land-surface elevation. In addition, the relation of changes in land-surface elevation to changes in groundwater levels and lithology was explored. This report is the third in a series of reports investigating land-surface elevation changes in the Mojave and Morongo Groundwater Basins, California. The first report, U.S. Geological Survey (USGS) Water-Resources Investigations Report 03-4015 by Sneed and others (2003), describes historical subsidence and groundwater-level changes in the southwest Mojave Desert from 1969 to 1999. The second report, U.S. Geological Survey Water-Resources Investigations Report 07-5097, an online interactive report and map, by Sneed and Brandt (2007), describes subsidence and groundwater-level changes in the southwest Mojave Desert from 1999 to 2004. The purpose of this report is to document an updated assessment of subsidence in these lakebeds and selected neighboring areas from 2004 to 2009 as measured by InSAR methods. In addition, continuous Global Positioning System (GPS)(2005-10), groundwater level (1951-2010), and lithologic data, if available, were used to characterize compaction mechanisms in these areas. The USGS California Water Science Center’s interactive website for the Mojave River and Morongo groundwater basins was created to centralize information pertaining to land subsidence and water levels and to allow readers to access available data and related reports online. An interactive map of land subsidence and water levels in the Mojave River and Morongo groundwater basins displays InSAR interferograms, subsidence areas, subsidence contours, hydrographs, well information, and water-level contours. Background information, including a basic description of the mechanics of land subsidence and InSAR, as well as a description of the study area, is presented within the Mojave Water Resources Interactive Map and report.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20145011","issn":"2328-0328","usgsCitation":"Solt, M., and Sneed, M., 2014, Subsidence (2004-2009) in and near lakebeds of the Mojave River and Morongo groundwater basins, southwest Mojave Desert, California: U.S. Geological Survey Scientific Investigations Report 2014-5011, HTML document, https://doi.org/10.3133/sir20145011.","productDescription":"HTML document","onlineOnly":"Y","temporalStart":"2004-01-01","temporalEnd":"2009-12-31","ipdsId":"IP-038374","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":286472,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20145011.PNG"},{"id":286470,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2014/5011/"},{"id":286471,"type":{"id":11,"text":"Document"},"url":"https://ca.water.usgs.gov/mojave/mojave-subsidence-2004-2009.html"}],"country":"United States","state":"California","otherGeospatial":"Mojave Desert;Mojave River;Morongo Groundwater Basins","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -117.5,34.0 ], [ -117.5,35.0 ], [ -116.0,35.0 ], [ -116.0,34.0 ], [ -117.5,34.0 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53563df2e4b03a277fd6adb9","contributors":{"authors":[{"text":"Solt, Mike","contributorId":88258,"corporation":false,"usgs":true,"family":"Solt","given":"Mike","email":"","affiliations":[],"preferred":false,"id":491307,"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":155,"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":true,"id":491306,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70101001,"text":"fs20143033 - 2014 - Assessment of potential unconventional lacustrine shale-oil and shale-gas resources, Phitsanulok Basin, Thailand, 2014","interactions":[],"lastModifiedDate":"2014-04-21T15:56:35","indexId":"fs20143033","displayToPublicDate":"2014-04-21T15:52:00","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2014-3033","title":"Assessment of potential unconventional lacustrine shale-oil and shale-gas resources, Phitsanulok Basin, Thailand, 2014","docAbstract":"Using a geology-based assessment methodology, the U.S. Geological Survey assessed potential technically recoverable mean resources of 53 million barrels of shale oil and 320 billion cubic feet of shale gas in the Phitsanulok Basin, onshore Thailand.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20143033","issn":"2327-6932","collaboration":"National and Global Petroleum Assessment","usgsCitation":"Schenk, C.J., Charpentier, R., Klett, T., Mercier, T.J., Tennyson, M., Pitman, J.K., and Brownfield, M.E., 2014, Assessment of potential unconventional lacustrine shale-oil and shale-gas resources, Phitsanulok Basin, Thailand, 2014: U.S. Geological Survey Fact Sheet 2014-3033, 2 p., https://doi.org/10.3133/fs20143033.","productDescription":"2 p.","numberOfPages":"2","onlineOnly":"N","ipdsId":"IP-053547","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":286469,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs20143033.jpg"},{"id":286467,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2014/3033/"},{"id":286468,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2014/3033/pdf/fs2014-3033.pdf"}],"country":"Thailand","otherGeospatial":"Phitsanulok Basin","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ 98.0,10.0 ], [ 98.0,20.0 ], [ 104.0,20.0 ], [ 104.0,10.0 ], [ 98.0,10.0 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53563de3e4b03a277fd6ad9e","contributors":{"authors":[{"text":"Schenk, Christopher J. 0000-0002-0248-7305 schenk@usgs.gov","orcid":"https://orcid.org/0000-0002-0248-7305","contributorId":826,"corporation":false,"usgs":true,"family":"Schenk","given":"Christopher","email":"schenk@usgs.gov","middleInitial":"J.","affiliations":[{"id":255,"text":"Energy Resources Program","active":true,"usgs":true},{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":492507,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Charpentier, Ronald R. charpentier@usgs.gov","contributorId":934,"corporation":false,"usgs":true,"family":"Charpentier","given":"Ronald R.","email":"charpentier@usgs.gov","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":false,"id":492508,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Klett, Timothy R. 0000-0001-9779-1168 tklett@usgs.gov","orcid":"https://orcid.org/0000-0001-9779-1168","contributorId":709,"corporation":false,"usgs":true,"family":"Klett","given":"Timothy R.","email":"tklett@usgs.gov","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":false,"id":492505,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Mercier, Tracey J. 0000-0002-8232-525X tmercier@usgs.gov","orcid":"https://orcid.org/0000-0002-8232-525X","contributorId":2847,"corporation":false,"usgs":true,"family":"Mercier","given":"Tracey","email":"tmercier@usgs.gov","middleInitial":"J.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":492511,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Tennyson, Marilyn E. 0000-0002-5166-2421 tennyson@usgs.gov","orcid":"https://orcid.org/0000-0002-5166-2421","contributorId":1433,"corporation":false,"usgs":true,"family":"Tennyson","given":"Marilyn E.","email":"tennyson@usgs.gov","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":false,"id":492509,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Pitman, Janet K. 0000-0002-0441-779X jpitman@usgs.gov","orcid":"https://orcid.org/0000-0002-0441-779X","contributorId":767,"corporation":false,"usgs":true,"family":"Pitman","given":"Janet","email":"jpitman@usgs.gov","middleInitial":"K.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true},{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":492506,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Brownfield, Michael E. 0000-0003-3633-1138 mbrownfield@usgs.gov","orcid":"https://orcid.org/0000-0003-3633-1138","contributorId":1548,"corporation":false,"usgs":true,"family":"Brownfield","given":"Michael","email":"mbrownfield@usgs.gov","middleInitial":"E.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":492510,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70100556,"text":"ds837 - 2014 - Visualization of soil-moisture change in response to precipitation within two rain gardens in Ohio","interactions":[],"lastModifiedDate":"2014-04-21T15:39:11","indexId":"ds837","displayToPublicDate":"2014-04-21T15:30:00","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":310,"text":"Data Series","code":"DS","onlineIssn":"2327-638X","printIssn":"2327-0271","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"837","title":"Visualization of soil-moisture change in response to precipitation within two rain gardens in Ohio","docAbstract":"Stormwater runoff in urban areas is increasingly being managed by means of a variety of treaments that reduce or delay runoff and promote more natural infiltration. One such treatment is a rain garden, which is built to detain runoff and allow for water infiltration and uptake by plants.Water flow into or out of a rain garden can be readily monitored with a variety of tools; however, observing the movement of water within the rain garden is less straightforward. Soil-moisture probes in combination with an automated interpolation procedure were used to document the infiltration of water into two rain gardens in Ohio. Animations show changes in soil moisture in the rain gardens during two precipitation events. At both sites, the animations demonstrate underutilization of the rain gardens.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds837","issn":"2327-638X","collaboration":"Prepared in cooperation with the U.S. Environmental Protection Agency and the Franklin County Soil and Water Conservation District Data","usgsCitation":"Dumouchelle, D.H., and Darner, R.A., 2014, Visualization of soil-moisture change in response to precipitation within two rain gardens in Ohio: U.S. Geological Survey Data Series 837, Report: iv, 9 p.; Animations, https://doi.org/10.3133/ds837.","productDescription":"Report: iv, 9 p.; Animations","numberOfPages":"18","onlineOnly":"Y","ipdsId":"IP-053573","costCenters":[{"id":513,"text":"Ohio Water Science Center","active":true,"usgs":true}],"links":[{"id":286461,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ds837.jpg"},{"id":286460,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/ds/0837/animation"},{"id":286458,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/0837/"},{"id":286459,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/ds/0837/pdf/ds837.pdf"}],"country":"United States","state":"Ohio","city":"Cincinnati;Columbus","otherGeospatial":"Griggs Reservoir;St. Francis","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -84.6844,39.0715 ], [ -84.6844,40.0685 ], [ -83.0936,40.0685 ], [ -83.0936,39.0715 ], [ -84.6844,39.0715 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53563df3e4b03a277fd6adc2","contributors":{"authors":[{"text":"Dumouchelle, Denise H. ddumouch@usgs.gov","contributorId":1847,"corporation":false,"usgs":true,"family":"Dumouchelle","given":"Denise","email":"ddumouch@usgs.gov","middleInitial":"H.","affiliations":[{"id":513,"text":"Ohio Water Science Center","active":true,"usgs":true}],"preferred":true,"id":492262,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Darner, Robert A. 0000-0003-1333-8265 radarner@usgs.gov","orcid":"https://orcid.org/0000-0003-1333-8265","contributorId":1972,"corporation":false,"usgs":true,"family":"Darner","given":"Robert","email":"radarner@usgs.gov","middleInitial":"A.","affiliations":[{"id":35860,"text":"Ohio-Kentucky-Indiana Water Science Center","active":true,"usgs":true},{"id":513,"text":"Ohio Water Science Center","active":true,"usgs":true}],"preferred":true,"id":492263,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70101781,"text":"fs20143037 - 2014 - The 3D Elevation Program: summary for Louisiana","interactions":[],"lastModifiedDate":"2016-08-17T15:42:16","indexId":"fs20143037","displayToPublicDate":"2014-04-21T15:25:00","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2014-3037","title":"The 3D Elevation Program: summary for Louisiana","docAbstract":"<p>Elevation data are essential to a broad range of applications, including forest resources management, wildlife and habitat management, national security, recreation, and many others. For the State of Louisiana, elevation data are critical for flood risk management, natural resources conservation, agriculture and precision farming, infrastructure and construction management, water supply and quality, and other business uses. Today, high-density light detection and ranging (lidar) data are the primary sources for deriving elevation models and other datasets. Federal, State, Tribal, and local agencies work in partnership to (1) replace data that are older and of lower quality and (2) provide coverage where publicly accessible data do not exist. A joint goal of State and Federal partners is to acquire consistent, statewide coverage to support existing and emerging applications enabled by lidar data.</p>\n<p>The National Enhanced Elevation Assessment evaluated multiple elevation data acquisition options to determine the optimal data quality and data replacement cycle relative to cost to meet the identified requirements of the user community. The evaluation demonstrated that lidar acquisition at quality level 2 for the conterminous United States and quality level 5 ifsar data for Alaska with a 6- to 10-year acquisition cycle provided the highest benefit/cost ratios. The 3D Elevation Program (3DEP) initiative selected an 8-year acquisition cycle for the respective quality levels. 3DEP, managed by the U.S. Geological Survey (USGS), the Office of Management and Budget Circular A&ndash;16 lead agency for terrestrial elevation data, responds to the growing need for high-quality topographic data and a wide range of other 3D representations of the Nation&rsquo;s natural and constructed features.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20143037","issn":"2327-6932","usgsCitation":"Carswell, W., 2014, The 3D Elevation Program: summary for Louisiana: U.S. Geological Survey Fact Sheet 2014-3037, 2 p., https://doi.org/10.3133/fs20143037.","productDescription":"2 p.","numberOfPages":"2","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-052809","costCenters":[{"id":423,"text":"National Geospatial 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,{"id":70099209,"text":"ofr20141055 - 2014 - Groundwater-surface water relations in the Fox River watershed: insights from exploratory studies in Illinois and Wisconsin","interactions":[],"lastModifiedDate":"2014-04-21T15:22:13","indexId":"ofr20141055","displayToPublicDate":"2014-04-21T15:17:00","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2014-1055","title":"Groundwater-surface water relations in the Fox River watershed: insights from exploratory studies in Illinois and Wisconsin","docAbstract":"Exploratory studies were conducted at sites bordering the Fox River in Waukesha, Wisconsin, during 2010 and McHenry, Illinois, during 2011–13. The objectives of the studies were to assess strategies for the study of and insights into the potential for directly connected groundwater and surface-water systems with natural groundwater discharge to streams diverted and (or) streamflow induced (captured) by nearby production-well withdrawals. Several collection efforts of about 2 weeks or less provided information and data on site geology, groundwater and surface-water levels, hydraulic gradients, water-temperature and stream-seepage patterns, and water chemistry including stables isotopes. Overview information is presented for the Waukesha study, and selected data and preliminary findings are presented for the McHenry study.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20141055","issn":"2331-1258","usgsCitation":"Mills, P., 2014, Groundwater-surface water relations in the Fox River watershed: insights from exploratory studies in Illinois and Wisconsin: U.S. Geological Survey Open-File Report 2014-1055, 20 p., https://doi.org/10.3133/ofr20141055.","productDescription":"20 p.","numberOfPages":"20","onlineOnly":"Y","temporalStart":"2010-01-01","temporalEnd":"2013-12-31","ipdsId":"IP-044038","costCenters":[{"id":344,"text":"Illinois Water Science Center","active":true,"usgs":true}],"links":[{"id":286454,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20141055.jpg"},{"id":286453,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2014/1055/pdf/ofr2014-1055.pdf"},{"id":286452,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2014/1055/"}],"scale":"2000000","projection":"Albers Equal-Are Conic projection","country":"United States","state":"Illinois;Wisconsin","otherGeospatial":"Fox River Watershed","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -89.0,41.5 ], [ -89.0,43.0 ], [ -86.0,43.0 ], [ -86.0,41.5 ], [ -89.0,41.5 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53563df0e4b03a277fd6adaf","contributors":{"authors":[{"text":"Mills, P.C. pcmills@usgs.gov","contributorId":3810,"corporation":false,"usgs":true,"family":"Mills","given":"P.C.","email":"pcmills@usgs.gov","affiliations":[{"id":344,"text":"Illinois Water Science Center","active":true,"usgs":true}],"preferred":true,"id":491864,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70100406,"text":"sir20145060 - 2014 - Flood-inundation maps for the Mississinewa River at Marion, Indiana, 2013","interactions":[],"lastModifiedDate":"2014-06-16T10:29:28","indexId":"sir20145060","displayToPublicDate":"2014-04-21T15:03:00","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2014-5060","title":"Flood-inundation maps for the Mississinewa River at Marion, Indiana, 2013","docAbstract":"Digital flood-inundation maps for a 9-mile (mi) reach of the Mississinewa River from 0.75 mi upstream from the Pennsylvania Street bridge in Marion, Indiana, to 0.2 mi downstream from State Route 15 were created by the U.S. Geological Survey (USGS) in cooperation with the Indiana Office of Community and Rural Affairs. The flood inundation maps, which can be accessed through the USGS Flood Inundation Mapping Science Web site at http://water.usgs.gov/osw/flood_inundation, depict estimates of the areal extent and depth of flooding corresponding to selected water levels (stages) at the USGS streamgage on the Mississinewa River at Marion (station number 03326500). Near-real-time stages at this streamgage may be obtained on the Internet from the USGS National Water Information System at http://waterdata.usgs.gov/ or the National Weather Service (NWS) Advanced Hydrologic Prediction Service at http://water.weather.gov/ahps/, which also forecasts flood hydrographs at this site.\n\nFlood profiles were computed for the stream reach by means of a one-dimensional step-backwater model. The model was calibrated by using the current stage-discharge relation at the Mississinewa River streamgage, in combination with water-surface profiles from historic floods and from the current (2002) flood-insurance study for Grant County, Indiana. The hydraulic model was then used to compute seven water-surface profiles for flood stages at 1-fo (ft) intervals referenced to the streamgage datum and ranging from 10 ft, which is near bankfull, to 16 ft, which is between the water levels associated with the estimated 10- and 2-percent annual exceedance probability floods (floods with recurrence interval between 10 and 50 years) and equals the “major flood stage” as defined by the NWS. The simulated water-surface profiles were then combined with a Geographic Information System digital elevation model (derived from light detection and ranging (lidar) data having a 0.98 ft vertical accuracy and 4.9 ft horizontal resolution) to delineate the area flooded at each water level.\n\nThe availability of these maps, along with Internet information regarding current stage from the USGS streamgage and forecasted high-flow stages from the NWS, will provide emergency management personnel and residents with information that is critical for flood response activities such as evacuations and road closures, as well as for post-flood recovery efforts.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20145060","collaboration":"Prepared in cooperation with the Indiana Office of Community and Rural Affairs","usgsCitation":"Coon, W.F., 2014, Flood-inundation maps for the Mississinewa River at Marion, Indiana, 2013: U.S. Geological Survey Scientific Investigations Report 2014-5060, Report: iv, 13 p.; Downloads Directory, https://doi.org/10.3133/sir20145060.","productDescription":"Report: iv, 13 p.; Downloads Directory","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-050572","costCenters":[{"id":346,"text":"Indiana Water Science Center","active":true,"usgs":true}],"links":[{"id":286466,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20145060.jpg"},{"id":286464,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2014/5060/pdf/sir2014-5060.pdf"},{"id":286465,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/sir/2014/5060/downloads"},{"id":286463,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2014/5060/"}],"projection":"Indiana State Plane Eastern Zone","datum":"North American Datum of 1983","country":"United States","state":"Indiana","city":"Marion","otherGeospatial":"Mississinewa River","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -85.709947,40.513774 ], [ -85.709947,40.621978 ], [ -85.599546,40.621978 ], [ -85.599546,40.513774 ], [ -85.709947,40.513774 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53563defe4b03a277fd6adaa","contributors":{"authors":[{"text":"Coon, William F. 0000-0002-7007-7797 wcoon@usgs.gov","orcid":"https://orcid.org/0000-0002-7007-7797","contributorId":1765,"corporation":false,"usgs":true,"family":"Coon","given":"William","email":"wcoon@usgs.gov","middleInitial":"F.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":492187,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70093641,"text":"70093641 - 2014 - ChemCam results from the Shaler Outcrop in Gale Crater, Mars","interactions":[],"lastModifiedDate":"2016-11-16T15:16:08","indexId":"70093641","displayToPublicDate":"2014-04-21T14:32:00","publicationYear":"2014","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"ChemCam results from the Shaler Outcrop in Gale Crater, Mars","docAbstract":"<div data-canvas-width=\"40.49933333333333\">The \"Shaler\" outcrop in Gale crater is approximately 0.7 m thick and &gt;20 m long, and exhibits multiple well-exposed platy and cross-stratified facies [1] interpreted to be primarily fluvial sandstone deposits. The outcrop is a part of the upper Glenelg member in the Yellowknife Bay (YKB) stratigraphic section [2]. Curiosity first encountered the \"Shaler\" outcrop on sol 121 of the mission, and returned to the outcrop on sols 309- 324. </div><div data-canvas-width=\"40.49933333333333\">The rugged nature of the outcrop and short time available for analysis limited opportunities for contact science, but ChemCam’s ability to remotely collect compositional and textural observations resulted in a large data set from Shaler. ChemCam conducted analyses of 29 non-soil targets at Shaler, 26 of which used laser-induced breakdown spectroscopy (LIBS) for a total of 9,180 spectra. Three observations used only the remote micro-imager (RMI). Each of the 26 LIBS targets were analyzed at between 5 and 25 points, providing a measure of the target homogeneity and in some cases transecting fine strata.&nbsp;</div>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"45th Lunar and Planetary Science Conference","largerWorkSubtype":{"id":12,"text":"Conference publication"},"language":"English","publisher":"Lunar and Planetary Institute","usgsCitation":"Anderson, R.B., Edgar, L., Bridges, J., Williams, A., Williams, J., Ollila, A., Forni, O., Mangold, N., Lanza, N., Sautter, V., Gupta, S., Blaney, D., Clark, B., Clegg, G., Dromart, G., Gasnault, O., Lasue, J., Le Mouélic, S., Léveillé, R., Lewin, E., Lewis, K., Maurice, S., Nachon, M., Newsom, H., Vaniman, D., and Wiens, R.C., 2014, ChemCam results from the Shaler Outcrop in Gale Crater, Mars, <i>in</i> 45th Lunar and Planetary Science Conference, 2 p.","productDescription":"2 p.","ipdsId":"IP-053296","costCenters":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"links":[{"id":286451,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":282238,"type":{"id":11,"text":"Document"},"url":"https://www.hou.usra.edu/meetings/lpsc2014/pdf/2380.pdf","text":"Report","size":"261.94 kB","linkFileType":{"id":1,"text":"pdf"},"description":"Report"}],"otherGeospatial":"Gale crater, Mars","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53563deae4b03a277fd6ada1","contributors":{"authors":[{"text":"Anderson, Ryan Bradley","contributorId":38473,"corporation":false,"usgs":true,"family":"Anderson","given":"Ryan","email":"","middleInitial":"Bradley","affiliations":[],"preferred":false,"id":490124,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Edgar, L.","contributorId":39618,"corporation":false,"usgs":true,"family":"Edgar","given":"L.","email":"","affiliations":[],"preferred":false,"id":490125,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bridges, J.C.","contributorId":51968,"corporation":false,"usgs":true,"family":"Bridges","given":"J.C.","email":"","affiliations":[],"preferred":false,"id":490127,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Williams, A.","contributorId":36463,"corporation":false,"usgs":true,"family":"Williams","given":"A.","affiliations":[],"preferred":false,"id":490123,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Williams, J.","contributorId":76270,"corporation":false,"usgs":true,"family":"Williams","given":"J.","affiliations":[],"preferred":false,"id":490132,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Ollila, A.","contributorId":30119,"corporation":false,"usgs":true,"family":"Ollila","given":"A.","email":"","affiliations":[],"preferred":false,"id":490118,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Forni, O.","contributorId":102354,"corporation":false,"usgs":true,"family":"Forni","given":"O.","email":"","affiliations":[],"preferred":false,"id":490137,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Mangold, N.","contributorId":101164,"corporation":false,"usgs":true,"family":"Mangold","given":"N.","email":"","affiliations":[],"preferred":false,"id":490135,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Lanza, N.","contributorId":65372,"corporation":false,"usgs":true,"family":"Lanza","given":"N.","email":"","affiliations":[],"preferred":false,"id":490128,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Sautter, V.","contributorId":31278,"corporation":false,"usgs":true,"family":"Sautter","given":"V.","email":"","affiliations":[],"preferred":false,"id":490121,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Gupta, S.","contributorId":18652,"corporation":false,"usgs":true,"family":"Gupta","given":"S.","affiliations":[],"preferred":false,"id":490116,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Blaney, D.","contributorId":72513,"corporation":false,"usgs":true,"family":"Blaney","given":"D.","email":"","affiliations":[],"preferred":false,"id":490129,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Clark, B.","contributorId":30224,"corporation":false,"usgs":true,"family":"Clark","given":"B.","affiliations":[],"preferred":false,"id":490119,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Clegg, G.","contributorId":9576,"corporation":false,"usgs":true,"family":"Clegg","given":"G.","email":"","affiliations":[],"preferred":false,"id":490113,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Dromart, G.","contributorId":7153,"corporation":false,"usgs":true,"family":"Dromart","given":"G.","affiliations":[],"preferred":false,"id":490112,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Gasnault, O.","contributorId":31277,"corporation":false,"usgs":true,"family":"Gasnault","given":"O.","affiliations":[],"preferred":false,"id":490120,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Lasue, J.","contributorId":19856,"corporation":false,"usgs":true,"family":"Lasue","given":"J.","affiliations":[],"preferred":false,"id":490117,"contributorType":{"id":1,"text":"Authors"},"rank":17},{"text":"Le Mouélic, S.","contributorId":77819,"corporation":false,"usgs":true,"family":"Le Mouélic","given":"S.","affiliations":[],"preferred":false,"id":490133,"contributorType":{"id":1,"text":"Authors"},"rank":18},{"text":"Léveillé, Richard","contributorId":74300,"corporation":false,"usgs":false,"family":"Léveillé","given":"Richard","affiliations":[{"id":13302,"text":"11NASA Ames Research Center, Moffett Field, California 94035","active":true,"usgs":false}],"preferred":false,"id":490130,"contributorType":{"id":1,"text":"Authors"},"rank":19},{"text":"Lewin, E.","contributorId":33196,"corporation":false,"usgs":true,"family":"Lewin","given":"E.","email":"","affiliations":[],"preferred":false,"id":490122,"contributorType":{"id":1,"text":"Authors"},"rank":20},{"text":"Lewis, K.","contributorId":74861,"corporation":false,"usgs":true,"family":"Lewis","given":"K.","affiliations":[],"preferred":false,"id":490131,"contributorType":{"id":1,"text":"Authors"},"rank":21},{"text":"Maurice, S.","contributorId":18144,"corporation":false,"usgs":true,"family":"Maurice","given":"S.","email":"","affiliations":[],"preferred":false,"id":490115,"contributorType":{"id":1,"text":"Authors"},"rank":22},{"text":"Nachon, Marion","contributorId":48485,"corporation":false,"usgs":false,"family":"Nachon","given":"Marion","email":"","affiliations":[],"preferred":false,"id":490126,"contributorType":{"id":1,"text":"Authors"},"rank":23},{"text":"Newsom, H.","contributorId":98934,"corporation":false,"usgs":true,"family":"Newsom","given":"H.","email":"","affiliations":[],"preferred":false,"id":490134,"contributorType":{"id":1,"text":"Authors"},"rank":24},{"text":"Vaniman, D.","contributorId":16291,"corporation":false,"usgs":true,"family":"Vaniman","given":"D.","affiliations":[],"preferred":false,"id":490114,"contributorType":{"id":1,"text":"Authors"},"rank":25},{"text":"Wiens, R. C.","contributorId":101893,"corporation":false,"usgs":false,"family":"Wiens","given":"R.","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":490136,"contributorType":{"id":1,"text":"Authors"},"rank":26}]}}
,{"id":70093640,"text":"70093640 - 2014 - Determining grain characteristics in the Shaler Outcrop with ChemCam Remote Micro-Imager mosaics","interactions":[],"lastModifiedDate":"2014-04-22T08:19:11","indexId":"70093640","displayToPublicDate":"2014-04-21T14:18:00","publicationYear":"2014","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Determining grain characteristics in the Shaler Outcrop with ChemCam Remote Micro-Imager mosaics","docAbstract":"Analysis of grain size distribution from RMI mosaics (Curiosity) are used to better define variations in grain size and facies in the Shaler outcrop.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"45th Lunar and Planetary Science Conference","largerWorkSubtype":{"id":12,"text":"Conference publication"},"language":"English","publisher":"Lunar and Planetary Institute","usgsCitation":"Williams, A.J., Williams, J.M., Anderson, R., Edgar, L., Newsom, H., Le Mouélic, S., Minitti, M., Wiens, R., and Maurice, S., 2014, Determining grain characteristics in the Shaler Outcrop with ChemCam Remote Micro-Imager mosaics, <i>in</i> 45th Lunar and Planetary Science Conference, 2 p.","productDescription":"2 p.","ipdsId":"IP-053298","costCenters":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"links":[{"id":286450,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":282237,"type":{"id":11,"text":"Document"},"url":"https://www.hou.usra.edu/meetings/lpsc2014/pdf/2342.pdf"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53563deee4b03a277fd6ada7","contributors":{"authors":[{"text":"Williams, A. J. III","contributorId":29309,"corporation":false,"usgs":true,"family":"Williams","given":"A.","suffix":"III","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":490106,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Williams, J. M.","contributorId":91142,"corporation":false,"usgs":true,"family":"Williams","given":"J.","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":490110,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Anderson, R.B.","contributorId":48693,"corporation":false,"usgs":true,"family":"Anderson","given":"R.B.","email":"","affiliations":[],"preferred":false,"id":490108,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Edgar, L.A.","contributorId":23443,"corporation":false,"usgs":true,"family":"Edgar","given":"L.A.","email":"","affiliations":[],"preferred":false,"id":490104,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Newsom, H.","contributorId":98934,"corporation":false,"usgs":true,"family":"Newsom","given":"H.","email":"","affiliations":[],"preferred":false,"id":490111,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Le Mouélic, S.","contributorId":77819,"corporation":false,"usgs":true,"family":"Le Mouélic","given":"S.","affiliations":[],"preferred":false,"id":490109,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Minitti, M.","contributorId":36859,"corporation":false,"usgs":true,"family":"Minitti","given":"M.","email":"","affiliations":[],"preferred":false,"id":490107,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Wiens, R.","contributorId":23444,"corporation":false,"usgs":true,"family":"Wiens","given":"R.","affiliations":[],"preferred":false,"id":490105,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Maurice, S.","contributorId":18144,"corporation":false,"usgs":true,"family":"Maurice","given":"S.","email":"","affiliations":[],"preferred":false,"id":490103,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70102275,"text":"70102275 - 2014 - Land use and climate affect Black Tern, Northern Harrier, and Marsh Wren abundance in the Prairie Pothole Region of the United States","interactions":[],"lastModifiedDate":"2014-04-21T14:10:18","indexId":"70102275","displayToPublicDate":"2014-04-21T13:47:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1318,"text":"Condor","active":true,"publicationSubtype":{"id":10}},"title":"Land use and climate affect Black Tern, Northern Harrier, and Marsh Wren abundance in the Prairie Pothole Region of the United States","docAbstract":"Bird populations are influenced by many environmental factors at both large and small scales. Our study evaluated the influences of regional climate and land-use variables on the Northern Harrier (Circus cyaneus), Black Tern (Childonias niger), and Marsh Wren (Cistothorus palustris) in the prairie potholes of the upper Midwest of the United States. These species were chosen because their diverse habitat preference represent the spectrum of habitat conditions present in the Prairie Potholes, ranging from open prairies to dense cattail marshes. We evaluated land-use covariates at three logarithmic spatial scales (1,000 ha, 10,000 ha, and 100,000 ha) and constructed models a priori using information from published habitat associations and climatic influences. The strongest influences on the abundance of each of the three species were the percentage of wetland area across all three spatial scales and precipitation in the year preceding that when bird surveys were conducted. Even among scales ranging over three orders of magnitude the influence of spatial scale was small, as models with the same variables expressed at different scales were often in the best model subset. Examination of the effects of large-scale environmental variables on wetland birds elucidated relationships overlooked in many smaller-scale studies, such as the influences of climate and habitat variables at landscape scales. Given the spatial variation in the abundance of our focal species within the prairie potholes, our model predictions are especially useful for targeting locations, such as northeastern South Dakota and central North Dakota, where management and conservation efforts would be optimally beneficial. This modeling approach can also be applied to other species and geographic areas to focus landscape conservation efforts and subsequent small-scale studies, especially in constrained economic climates.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Condor","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Cooper Ornithological Society","doi":"10.1650/CONDOR-13-019-R1.1","usgsCitation":"Forcey, G.M., Thogmartin, W.E., Linz, G.M., and McKann, P., 2014, Land use and climate affect Black Tern, Northern Harrier, and Marsh Wren abundance in the Prairie Pothole Region of the United States: Condor, v. 116, no. 2, p. 226-241, https://doi.org/10.1650/CONDOR-13-019-R1.1.","productDescription":"16 p.","startPage":"226","endPage":"241","ipdsId":"IP-053697","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":286449,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":286444,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1650/CONDOR-13-019-R1.1"}],"country":"United States","state":"Iowa;Minnesota;Montana;Nebraska;North Dakota;South Dakota","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -110.04,41.38 ], [ -110.04,48.86 ], [ -93.56,48.86 ], [ -93.56,41.38 ], [ -110.04,41.38 ] ] ] } } ] }","volume":"116","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53563df0e4b03a277fd6adb2","contributors":{"authors":[{"text":"Forcey, Greg M.","contributorId":82835,"corporation":false,"usgs":true,"family":"Forcey","given":"Greg","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":492868,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Thogmartin, Wayne E. 0000-0002-2384-4279 wthogmartin@usgs.gov","orcid":"https://orcid.org/0000-0002-2384-4279","contributorId":2545,"corporation":false,"usgs":true,"family":"Thogmartin","given":"Wayne","email":"wthogmartin@usgs.gov","middleInitial":"E.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":492865,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Linz, George M.","contributorId":32859,"corporation":false,"usgs":true,"family":"Linz","given":"George","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":492867,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"McKann, Patrick C.","contributorId":14940,"corporation":false,"usgs":true,"family":"McKann","given":"Patrick C.","affiliations":[],"preferred":false,"id":492866,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70098088,"text":"ofr20141054 - 2014 - Delineation of contributing areas to selected wells in Ingham County, Michigan","interactions":[],"lastModifiedDate":"2014-04-21T13:37:52","indexId":"ofr20141054","displayToPublicDate":"2014-04-21T13:33:00","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2014-1054","title":"Delineation of contributing areas to selected wells in Ingham County, Michigan","docAbstract":"A groundwater-flow model that was constructed in 2009 was updated to reflect recent (2011–12) pumping conditions in the Tri-County region, which consists of Clinton, Eaton, and Ingham Counties, Michigan. As part of local wellhead protection area programs, areas contributing water to local production wells must be periodically updated, because groundwater-flow paths depend in part on the stresses, such as groundwater withdrawals, to the groundwater-flow system. For this current (2013) study, withdrawals from selected city of Lansing production wells were updated, and simulated heads and flows under the new pumping conditions compared favorably to previously measured values. Results of flow simulations indicate that 10-year time-of-travel contributing areas cover approximately 19.4 square miles, and 40-year time-of-travel contributing areas cover approximately 39 square miles.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20141054","issn":"2331-1258","collaboration":"Prepared in cooperation with the Lansing Board of Water and Light","usgsCitation":"Luukkonen, C.L., 2014, Delineation of contributing areas to selected wells in Ingham County, Michigan: U.S. Geological Survey Open-File Report 2014-1054, iv, 11 p., https://doi.org/10.3133/ofr20141054.","productDescription":"iv, 11 p.","numberOfPages":"20","ipdsId":"IP-053324","costCenters":[{"id":382,"text":"Michigan Water Science Center","active":true,"usgs":true}],"links":[{"id":286448,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20141054.jpg"},{"id":286446,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2014/1054/"},{"id":286447,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2014/1054/pdf/ofr2014-1054.pdf"}],"country":"United States","state":"Michigan","county":"Ingham County","city":"Lansing","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -123.5202342,35.4018614 ], [ -123.5202342,35.8341227 ], [ -122.3287056,35.8341227 ], [ -122.3287056,35.4018614 ], [ -123.5202342,35.4018614 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53563dece4b03a277fd6ada4","contributors":{"authors":[{"text":"Luukkonen, Carol L. clluukko@usgs.gov","contributorId":3489,"corporation":false,"usgs":true,"family":"Luukkonen","given":"Carol","email":"clluukko@usgs.gov","middleInitial":"L.","affiliations":[{"id":382,"text":"Michigan Water Science Center","active":true,"usgs":true}],"preferred":true,"id":491562,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70093470,"text":"70093470 - 2014 - Characterizing the primary material sources and dominant erosional processes for post-fire debris-flow initiation in a headwater basin using multi-temporal terrestrial laser scanning data","interactions":[],"lastModifiedDate":"2014-04-22T15:39:28","indexId":"70093470","displayToPublicDate":"2014-04-21T10:08:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1801,"text":"Geomorphology","active":true,"publicationSubtype":{"id":10}},"title":"Characterizing the primary material sources and dominant erosional processes for post-fire debris-flow initiation in a headwater basin using multi-temporal terrestrial laser scanning data","docAbstract":"Wildfire dramatically alters the hydrologic response of a watershed such that even modest rainstorms can produce hazardous debris flows. Relative to shallow landslides, the primary sources of material and dominant erosional processes that contribute to post-fire debris-flow initiation are poorly constrained. Improving our understanding of how and where material is eroded from a watershed during a post-fire debris-flow requires (1) precise measurements of topographic change to calculate volumetric measurements of erosion and deposition, and (2) the identification of relevant morphometrically defined process domains to spatially constrain these measurements of erosion and deposition. In this study, we combine the morphometric analysis of a steep, small (0.01 km<sup>2</sup>) headwater drainage basin with measurements of topographic change using high-resolution (2.5 cm) multi-temporal terrestrial laser scanning data made before and after a post-fire debris flow. The results of the morphometric analysis are used to define four process domains: hillslope-divergent, hillslope-convergent, transitional, and channelized incision. We determine that hillslope-divergent and hillslope-convergent process domains represent the primary sources of material over the period of analysis in the study basin. From these results we conclude that raindrop-impact induced erosion, ravel, surface wash, and rilling are the primary erosional processes contributing to post-fire debris-flow initiation in the small, steep headwater basin. Further work is needed to determine (1) how these results vary with increasing drainage basin size, (2) how these data might scale upward for use with coarser resolution measurements of topography, and (3) how these results change with evolving sediment supply conditions and vegetation recovery.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Geomorphology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","doi":"10.1016/j.geomorph.2014.02.015","usgsCitation":"Staley, D.M., Waslewicz, T.A., and Kean, J.W., 2014, Characterizing the primary material sources and dominant erosional processes for post-fire debris-flow initiation in a headwater basin using multi-temporal terrestrial laser scanning data: Geomorphology, v. 214, p. 324-338, https://doi.org/10.1016/j.geomorph.2014.02.015.","productDescription":"15 p.","startPage":"324","endPage":"338","ipdsId":"IP-054062","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":286522,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":286521,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.geomorph.2014.02.015"}],"country":"United States","state":"California","county":"Los Angeles County","otherGeospatial":"San Gabriel Mountains","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -118.4,34.2 ], [ -118.4,34.46 ], [ -117.86,34.46 ], [ -117.86,34.2 ], [ -118.4,34.2 ] ] ] } } ] }","volume":"214","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53578f62e4b0938066bc81c0","chorus":{"doi":"10.1016/j.geomorph.2014.02.015","url":"http://dx.doi.org/10.1016/j.geomorph.2014.02.015","publisher":"Elsevier BV","authors":"Staley Dennis M., Wasklewicz Thad A., Kean Jason W.","journalName":"Geomorphology","publicationDate":"6/2014","auditedOn":"11/6/2014"},"contributors":{"authors":[{"text":"Staley, Dennis M. 0000-0002-2239-3402 dstaley@usgs.gov","orcid":"https://orcid.org/0000-0002-2239-3402","contributorId":4134,"corporation":false,"usgs":true,"family":"Staley","given":"Dennis","email":"dstaley@usgs.gov","middleInitial":"M.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":490022,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Waslewicz, Thad A.","contributorId":30913,"corporation":false,"usgs":true,"family":"Waslewicz","given":"Thad","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":490023,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kean, Jason W. 0000-0003-3089-0369 jwkean@usgs.gov","orcid":"https://orcid.org/0000-0003-3089-0369","contributorId":1654,"corporation":false,"usgs":true,"family":"Kean","given":"Jason","email":"jwkean@usgs.gov","middleInitial":"W.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":490021,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
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