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Western North America is a diverse region that provides critical habitat to many piscivorous bird species, and also has a well-documented history of mercury contamination from legacy mining and atmospheric deposition. The diversity of landscapes in the west limits the distribution of avian piscivore species, complicating broad comparisons across the region. Mercury risk to avian piscivores was evaluated across the western United States and Canada using a suite of avian piscivore species representing a variety of foraging strategies that together occur broadly across the region. Prey fish Hg concentrations were size-adjusted to the preferred size class of the diet for each avian piscivore (Bald Eagle&nbsp;=&nbsp;36&nbsp;cm, Osprey&nbsp;=&nbsp;30&nbsp;cm, Common and Yellow-billed Loon&nbsp;=&nbsp;15&nbsp;cm, Western and Clark's Grebe&nbsp;=&nbsp;6&nbsp;cm, and Belted Kingfisher&nbsp;=&nbsp;5&nbsp;cm) across each species breeding range. Using a combination of field and lab-based studies on Hg effect in a variety of species, wet weight blood estimates were grouped into five relative risk categories including: background (&lt;&nbsp;0.5&nbsp;&mu;g/g), low (0.5&ndash;1&nbsp;&mu;g/g), moderate (1&ndash;2&nbsp;&mu;g/g), high (2&ndash;3&nbsp;&mu;g/g), and extra high (&gt;&nbsp;3&nbsp;&mu;g/g). These risk categories were used to estimate potential mercury risk to avian piscivores across the west at a 1&nbsp;degree-by-1&nbsp;degree grid cell resolution. Avian piscivores foraging on larger-sized fish generally were at a higher relative risk to Hg. Habitats with a relatively high risk included wetland complexes (e.g., prairie pothole in Saskatchewan), river deltas (e.g., San Francisco Bay, Puget Sound, Columbia River), and arid lands (Great Basin and central Arizona). These results indicate that more intensive avian piscivore sampling is needed across Western North America to generate a more robust assessment of exposure risk.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.scitotenv.2016.02.197","usgsCitation":"Jackson, A., Evers, D.C., Eagles-Smith, C.A., Ackerman, J., Willacker, J.J., Elliott, J., Lepak, J.M., Vander Pol, S.S., and Bryan, C.E., 2016, Mercury risk to avian piscivores across western United States and Canada: Science of the Total Environment, v. 568, p. 685-696, https://doi.org/10.1016/j.scitotenv.2016.02.197.","productDescription":"12 p.","startPage":"685","endPage":"696","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-070590","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true},{"id":552,"text":"San Francisco Bay-Delta","active":false,"usgs":true},{"id":29789,"text":"John Wesley Powell Center for Analysis and 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University","active":true,"usgs":false}],"preferred":false,"id":640736,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Evers, David C.","contributorId":96160,"corporation":false,"usgs":false,"family":"Evers","given":"David","email":"","middleInitial":"C.","affiliations":[{"id":6928,"text":"BioDiversity Research Institute, Gorham, ME 04038","active":true,"usgs":false}],"preferred":false,"id":640737,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Eagles-Smith, Collin A. 0000-0003-1329-5285 ceagles-smith@usgs.gov","orcid":"https://orcid.org/0000-0003-1329-5285","contributorId":505,"corporation":false,"usgs":true,"family":"Eagles-Smith","given":"Collin","email":"ceagles-smith@usgs.gov","middleInitial":"A.","affiliations":[{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true},{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true},{"id":290,"text":"Forest and Rangeland Ecosystem Science 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E.","contributorId":169675,"corporation":false,"usgs":false,"family":"Elliott","given":"John E.","affiliations":[],"preferred":false,"id":640740,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Lepak, Jesse M.","contributorId":168695,"corporation":false,"usgs":false,"family":"Lepak","given":"Jesse","email":"","middleInitial":"M.","affiliations":[{"id":13449,"text":"Colorado Division of Parks and Wildlife","active":true,"usgs":false}],"preferred":false,"id":640798,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Vander Pol, Stacy S.","contributorId":38776,"corporation":false,"usgs":false,"family":"Vander Pol","given":"Stacy","email":"","middleInitial":"S.","affiliations":[{"id":25356,"text":"National Institute of Standards and Technology","active":true,"usgs":false}],"preferred":false,"id":640741,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Bryan, Colleen 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,{"id":70174059,"text":"70174059 - 2016 - Pre/post-closure assessment of groundwater pharmaceutical fate in a wastewater‑facility-impacted stream reach","interactions":[],"lastModifiedDate":"2018-08-09T12:08:00","indexId":"70174059","displayToPublicDate":"2016-06-27T12:45:00","publicationYear":"2016","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":"Pre/post-closure assessment of groundwater pharmaceutical fate in a wastewater‑facility-impacted stream reach","docAbstract":"<p><span>Pharmaceutical contamination of contiguous groundwater is a substantial concern in wastewater-impacted streams, due to ubiquity in effluent, high aqueous mobility, designed bioactivity, and to effluent-driven hydraulic gradients. Wastewater treatment facility (WWTF) closures are rare environmental remediation events; offering unique insights into contaminant persistence, long-term wastewater impacts, and ecosystem recovery processes. The USGS conducted a combined pre/post-closure groundwater assessment adjacent to an effluent-impacted reach of Fourmile Creek, Ankeny, Iowa, USA. Higher surface-water concentrations, consistent surface-water to groundwater concentration gradients, and sustained groundwater detections tens of meters from the stream bank demonstrated the importance of WWTF effluent as the source of groundwater pharmaceuticals as well as the persistence of these contaminants under effluent-driven, pre-closure conditions. The number of analytes (110 total) detected in surface water decreased from 69 prior to closure down to 8 in the first post-closure sampling event approximately 30 d later, with a corresponding 2 order of magnitude decrease in the cumulative concentration of detected analytes. Post-closure cumulative concentrations of detected analytes were approximately 5 times higher in proximal groundwater than in surface water. About 40% of the 21 contaminants detected in a downstream groundwater transect immediately before WWTF closure exhibited rapid attenuation with estimated half-lives on the order of a few days; however, a comparable number exhibited no consistent attenuation during the year-long post-closure assessment. The results demonstrate the potential for effluent-impacted shallow groundwater systems to accumulate pharmaceutical contaminants and serve as long-term residual sources, further increasing the risk of adverse ecological effects in groundwater and the near-stream ecosystem.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.scitotenv.2016.06.104","usgsCitation":"Bradley, P.M., Barber, L.B., Clark, J.M., Duris, J.W., Foreman, W., Furlong, E.T., Givens, C.E., Hubbard, L.E., Hutchinson, K.J., Journey, C.A., Keefe, S.H., and Kolpin, D.W., 2016, Pre/post-closure assessment of groundwater pharmaceutical fate in a wastewater‑facility-impacted stream reach: Science of the Total Environment, v. 568, p. 916-925, https://doi.org/10.1016/j.scitotenv.2016.06.104.","productDescription":"10 p.","startPage":"916","endPage":"925","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-069485","costCenters":[{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true},{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"links":[{"id":470833,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.scitotenv.2016.06.104","text":"Publisher Index Page"},{"id":324408,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Iowa","county":"Ankeny","otherGeospatial":"Fourmile Creek","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -93.61347198486328,\n              41.761196772309965\n            ],\n            [\n              -93.61347198486328,\n              41.79172868968446\n            ],\n            [\n              -93.5866928100586,\n              41.79172868968446\n            ],\n            [\n              -93.5866928100586,\n              41.761196772309965\n            ],\n            [\n              -93.61347198486328,\n              41.761196772309965\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"568","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57724022e4b07657d1a7939b","chorus":{"doi":"10.1016/j.scitotenv.2016.06.104","url":"http://dx.doi.org/10.1016/j.scitotenv.2016.06.104","publisher":"Elsevier BV","authors":"Bradley Paul M., Barber Larry B., Clark Jimmy M., Duris Joseph W., Foreman William T., Furlong Edward T., Givens Carrie E., Hubbard Laura E., Hutchinson Kasey J., Journey Celeste A., Keefe Steffanie H., Kolpin Dana W.","journalName":"Science of The Total Environment","publicationDate":"10/2016"},"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":640743,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Barber, Larry B. 0000-0002-0561-0831 lbbarber@usgs.gov","orcid":"https://orcid.org/0000-0002-0561-0831","contributorId":921,"corporation":false,"usgs":true,"family":"Barber","given":"Larry","email":"lbbarber@usgs.gov","middleInitial":"B.","affiliations":[{"id":438,"text":"National Research Program - 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,{"id":70133867,"text":"70133867 - 2016 - Growth rates and ages of deep-sea corals impacted by the Deepwater Horizon oil spill","interactions":[],"lastModifiedDate":"2016-06-27T15:02:15","indexId":"70133867","displayToPublicDate":"2016-06-27T12:30:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1371,"text":"Deep-Sea Research Part II: Topical Studies in Oceanography","active":true,"publicationSubtype":{"id":10}},"title":"Growth rates and ages of deep-sea corals impacted by the Deepwater Horizon oil spill","docAbstract":"<p>The impact of the April 2010 Deepwater Horizon (DWH) spill on deep-sea coral communities in the Gulf of Mexico (GoM) is still under investigation, as is the potential for these communities to recover. Impacts from the spill include observation of corals covered with flocculent material, with bare skeleton, excessive mucous production, sloughing tissue, and subsequent colonization of damaged areas by hydrozoans. Information on growth rates and life spans of deep-sea corals is important for understanding the vulnerability of these ecosystems to both natural and anthropogenic perturbations, as well as the likely duration of any observed adverse impacts. We report radiocarbon ages and radial and linear growth rates based on octocorals (<i>Paramuricea</i> spp. and <i>Chrysogorgia</i> sp.) collected in 2010 and 2011 from areas of the DWH impact. The oldest coral radiocarbon ages were measured on specimens collected 11 km to the SW of the oil spill from the Mississippi Canyon (MC) 344 site: 599 and 55 cal yr BP, suggesting continuous life spans of over 600 years for Paramuricea biscaya, the dominant coral species in the region. Calculated radial growth rates, between 0.34 &mu;m yr<sup>&minus;1</sup> and 14.20 &mu;m yr<sup>&minus;1</sup>, are consistent with previously reported proteinaceous corals from the GoM. Anomalously low radiocarbon (&Delta;<sup>14</sup>C) values for soft tissue from some corals indicate that these corals were feeding on particulate organic carbon derived from an admixture of modern surface carbon and a low <sup>14</sup>C carbon source. Results from this work indicate fossil carbon could contribute 5&ndash;10% to the coral soft tissue &Delta;<sup>14</sup>C signal within the area of the spill impact. The influence of a low 14C carbon source (e.g., petro-carbon) on the particulate organic carbon pool was observed at all sites within 30 km of the spill site, with the exception of MC118, which may have been outside of the dominant northeast-southwest zone of impact. The quantitatively assessed extreme longevity and slow growth rates documented here highlight the vulnerability of these long-lived deep sea coral species to disturbance.</p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.dsr2.2014.10.021","usgsCitation":"Prouty, N.G., Fisher, C.R., Demopoulos, A., and Druffel, E.R., 2016, Growth rates and ages of deep-sea corals impacted by the Deepwater Horizon oil spill: Deep-Sea Research Part II: Topical Studies in Oceanography, v. 129, https://doi.org/10.1016/j.dsr2.2014.10.021.","productDescription":"17 p.","startPage":"212","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-056047","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":470834,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.dsr2.2014.10.021","text":"Publisher Index Page"},{"id":296221,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Gulf of Mexico","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -89,\n              30\n            ],\n            [\n              -89,\n              27\n            ],\n            [\n              -92,\n              27\n            ],\n            [\n              -92,\n              30\n            ],\n            [\n              -89,\n              30\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"129","edition":"196","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"546db11ee4b0fc7976bf1e33","contributors":{"authors":[{"text":"Prouty, Nancy G. 0000-0002-8922-0688 nprouty@usgs.gov","orcid":"https://orcid.org/0000-0002-8922-0688","contributorId":3350,"corporation":false,"usgs":true,"family":"Prouty","given":"Nancy","email":"nprouty@usgs.gov","middleInitial":"G.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":525501,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fisher, Charles R.","contributorId":127497,"corporation":false,"usgs":false,"family":"Fisher","given":"Charles","email":"","middleInitial":"R.","affiliations":[{"id":6975,"text":"Penn State","active":true,"usgs":false}],"preferred":false,"id":525502,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Demopoulos, Amanda W.J. 0000-0003-2096-4694 ademopoulos@usgs.gov","orcid":"https://orcid.org/0000-0003-2096-4694","contributorId":371,"corporation":false,"usgs":true,"family":"Demopoulos","given":"Amanda W.J.","email":"ademopoulos@usgs.gov","affiliations":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"preferred":false,"id":525503,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Druffel, Ellen R. M.","contributorId":127498,"corporation":false,"usgs":false,"family":"Druffel","given":"Ellen","email":"","middleInitial":"R. M.","affiliations":[{"id":6976,"text":"University of California, Irvine","active":true,"usgs":false}],"preferred":false,"id":525504,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70174061,"text":"70174061 - 2016 - Population ecology of the sea lamprey (<i>Petromyzon marinus</i>) as an invasive species in the Laurentian Great Lakes and an imperiled species in Europe","interactions":[],"lastModifiedDate":"2016-08-19T10:07:28","indexId":"70174061","displayToPublicDate":"2016-06-27T12:15:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3278,"text":"Reviews in Fish Biology and Fisheries","active":true,"publicationSubtype":{"id":10}},"title":"Population ecology of the sea lamprey (<i>Petromyzon marinus</i>) as an invasive species in the Laurentian Great Lakes and an imperiled species in Europe","docAbstract":"<p><span>The sea lamprey&nbsp;</span><i class=\"EmphasisTypeItalic \">Petromyzon marinus</i><span>&nbsp;(Linnaeus) is both an invasive non-native species in the Laurentian Great Lakes of North America and an imperiled species in much of its native range in North America and Europe. To compare and contrast how understanding of population ecology is useful for control programs in the Great Lakes and restoration programs in Europe, we review current understanding of the population ecology of the sea lamprey in its native and introduced range. Some attributes of sea lamprey population ecology are particularly useful for both control programs in the Great Lakes and restoration programs in the native range. First, traps within fish ladders are beneficial for removing sea lampreys in Great Lakes streams and passing sea lampreys in the native range. Second, attractants and repellants are suitable for luring sea lampreys into traps for control in the Great Lakes and guiding sea lamprey passage for conservation in the native range. Third, assessment methods used for targeting sea lamprey control in the Great Lakes are useful for targeting habitat protection in the native range. Last, assessment methods used to quantify numbers of all life stages of sea lampreys would be appropriate for measuring success of control in the Great Lakes and success of conservation in the native range.</span></p>","language":"English","publisher":"Springer","doi":"10.1007/s11160-016-9440-3","usgsCitation":"Hansen, M.J., Madenjian, C.P., Slade, J.W., Steeves, T.B., Almeida, P.R., and Quintella, B.R., 2016, Population ecology of the sea lamprey (<i>Petromyzon marinus</i>) as an invasive species in the Laurentian Great Lakes and an imperiled species in Europe: Reviews in Fish Biology and Fisheries, v. 26, no. 3, p. 509-535, https://doi.org/10.1007/s11160-016-9440-3.","productDescription":"27 p.","startPage":"509","endPage":"535","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-075213","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":470837,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s11160-016-9440-3","text":"Publisher Index Page"},{"id":324399,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"26","issue":"3","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationDate":"2016-06-22","publicationStatus":"PW","scienceBaseUri":"57724021e4b07657d1a79394","contributors":{"authors":[{"text":"Hansen, Michael J. 0000-0001-8522-3876 michaelhansen@usgs.gov","orcid":"https://orcid.org/0000-0001-8522-3876","contributorId":5006,"corporation":false,"usgs":true,"family":"Hansen","given":"Michael","email":"michaelhansen@usgs.gov","middleInitial":"J.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":640757,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Madenjian, Charles P. 0000-0002-0326-164X cmadenjian@usgs.gov","orcid":"https://orcid.org/0000-0002-0326-164X","contributorId":2200,"corporation":false,"usgs":true,"family":"Madenjian","given":"Charles","email":"cmadenjian@usgs.gov","middleInitial":"P.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":640758,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Slade, Jeffrey W.","contributorId":126760,"corporation":false,"usgs":false,"family":"Slade","given":"Jeffrey","email":"","middleInitial":"W.","affiliations":[{"id":6597,"text":"U.S. Fish and Wildlife Service, Ludington Biological Station","active":true,"usgs":false}],"preferred":false,"id":640759,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Steeves, Todd B.","contributorId":126761,"corporation":false,"usgs":false,"family":"Steeves","given":"Todd","email":"","middleInitial":"B.","affiliations":[{"id":6598,"text":"Department of Fisheries and Oceans, Canada, Sea Lamprey Control Centre","active":true,"usgs":false}],"preferred":false,"id":640760,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Almeida, Pedro R.","contributorId":172443,"corporation":false,"usgs":false,"family":"Almeida","given":"Pedro","email":"","middleInitial":"R.","affiliations":[{"id":27044,"text":"MARE – Centro de Ciências do Mar e do Ambiente","active":true,"usgs":false}],"preferred":false,"id":640761,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Quintella, Bernardo R.","contributorId":172444,"corporation":false,"usgs":false,"family":"Quintella","given":"Bernardo","email":"","middleInitial":"R.","affiliations":[{"id":27044,"text":"MARE – Centro de Ciências do Mar e do Ambiente","active":true,"usgs":false}],"preferred":false,"id":640762,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70174056,"text":"70174056 - 2016 - Inferring river bathymetry via Image-to-Depth Quantile Transformation (IDQT)","interactions":[],"lastModifiedDate":"2016-06-27T11:23:51","indexId":"70174056","displayToPublicDate":"2016-06-27T12:15:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3722,"text":"Water Resources Research","onlineIssn":"1944-7973","printIssn":"0043-1397","active":true,"publicationSubtype":{"id":10}},"title":"Inferring river bathymetry via Image-to-Depth Quantile Transformation (IDQT)","docAbstract":"<p>Conventional, regression-based methods of inferring depth from passive optical image data undermine the advantages of remote sensing for characterizing river systems. This study introduces and evaluates a more flexible framework, Image-to-Depth Quantile Transformation (IDQT), that involves linking the frequency distribution of pixel values to that of depth. In addition, a new image processing workflow involving deep water correction and Minimum Noise Fraction (MNF) transformation can reduce a hyperspectral data set to a single variable related to depth and thus suitable for input to IDQT. Applied to a gravel bed river, IDQT avoided negative depth estimates along channel margins and underpredictions of pool depth. Depth retrieval accuracy (R25 0.79) and precision (0.27 m) were comparable to an established band ratio-based method, although a small shallow bias (0.04 m) was observed. Several ways of specifying distributions of pixel values and depths were evaluated but had negligible impact on the resulting depth estimates, implying that IDQT was robust to these implementation details. In essence, IDQT uses frequency distributions of pixel values and depths to achieve an aspatial calibration; the image itself provides information on the spatial distribution of depths. The approach thus reduces sensitivity to misalignment between field and image data sets and allows greater flexibility in the timing of field data collection relative to image acquisition, a significant advantage in dynamic channels. IDQT also creates new possibilities for depth retrieval in the absence of field data if a model could be used to predict the distribution of depths within a reach.</p>","language":"English","publisher":"AGU Publications","doi":"10.1002/2016WR018730","usgsCitation":"Legleiter, C.J., 2016, Inferring river bathymetry via Image-to-Depth Quantile Transformation (IDQT): Water Resources Research, v. 52, no. 5, p. 3722-3741, https://doi.org/10.1002/2016WR018730.","productDescription":"20 p.","startPage":"3722","endPage":"3741","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-072989","costCenters":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"links":[{"id":470836,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/2016wr018730","text":"Publisher Index Page"},{"id":324402,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"52","issue":"5","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2016-05-14","publicationStatus":"PW","scienceBaseUri":"5772401fe4b07657d1a7937e","contributors":{"authors":[{"text":"Legleiter, Carl J. 0000-0003-0940-8013 cjl@usgs.gov","orcid":"https://orcid.org/0000-0003-0940-8013","contributorId":169002,"corporation":false,"usgs":true,"family":"Legleiter","given":"Carl","email":"cjl@usgs.gov","middleInitial":"J.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"preferred":true,"id":640728,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70174055,"text":"70174055 - 2016 - Storeria occipitomaculata obscura (Florida red-bellied snake)","interactions":[],"lastModifiedDate":"2016-06-27T11:26:38","indexId":"70174055","displayToPublicDate":"2016-06-27T12:15:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1898,"text":"Herpetological Review","active":true,"publicationSubtype":{"id":10}},"title":"Storeria occipitomaculata obscura (Florida red-bellied snake)","docAbstract":"<p>USA: LOUISIANA: Vermilion Parish: Palmetto Island State Park (29.86335&deg;N, 92.14848&deg;W; WGS 84). 19 February 2016. Lindy J. Muse. Verified by Jeff Boundy. Florida Museum of Natural History (UF 177730, photo voucher). New parish record (Dundee and Rossman 1989. The Amphibians and Reptiles of Louisiana. Louisiana State University Press, Baton Rouge, Louisiana. 300 pp.). Storeria occipitomaculata obscura has not been documented in any of the coastal parishes of Louisiana (Boundy. 2006. Snakes of Louisiana. Louisiana Department of Wildlife &amp; Fisheries, Baton Rouge, Louisiana. 40 pp.). However, this species can be difficult to find in southern Louisiana and other populations in coastal parishes may eventually be discovered. This adult individual (SVL = 292 mm; TL = 70 mm) was found under a log in a wet bottomland forest dominated by Dwarf Palmetto and Bald Cypress.</p>","language":"English","publisher":"Society for the Study of Amphibians and Reptiles","usgsCitation":"Muse, L.J., Glorioso, B.M., and Eaglestone, C.A., 2016, Storeria occipitomaculata obscura (Florida red-bellied snake): Herpetological Review, v. 47, no. 2, p. 266-266.","productDescription":"1 p.","startPage":"266","endPage":"266","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-075568","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":324403,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"47","issue":"2","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57724022e4b07657d1a793aa","contributors":{"authors":[{"text":"Muse, Lindy J.","contributorId":172438,"corporation":false,"usgs":false,"family":"Muse","given":"Lindy","email":"","middleInitial":"J.","affiliations":[{"id":27041,"text":"Cherokee at USGS-WARC Lafayette","active":true,"usgs":false}],"preferred":false,"id":640726,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Glorioso, Brad M. 0000-0002-5400-7414 gloriosob@usgs.gov","orcid":"https://orcid.org/0000-0002-5400-7414","contributorId":4241,"corporation":false,"usgs":true,"family":"Glorioso","given":"Brad","email":"gloriosob@usgs.gov","middleInitial":"M.","affiliations":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":640725,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Eaglestone, Chandler A. R.","contributorId":172439,"corporation":false,"usgs":false,"family":"Eaglestone","given":"Chandler","email":"","middleInitial":"A. R.","affiliations":[{"id":27042,"text":"Student Contractor at USGS-WARC Lafayette","active":true,"usgs":false}],"preferred":false,"id":640727,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70174064,"text":"70174064 - 2016 - A synthesis of the basal thermal state of the Greenland Ice Sheet","interactions":[],"lastModifiedDate":"2016-08-12T10:17:20","indexId":"70174064","displayToPublicDate":"2016-06-27T12:15:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2318,"text":"Journal of Geophysical Research F: Earth Surface","active":true,"publicationSubtype":{"id":10}},"title":"A synthesis of the basal thermal state of the Greenland Ice Sheet","docAbstract":"<p>The basal thermal state of an ice sheet (frozen or thawed) is an important control upon its evolution, dynamics and response to external forcings. However, this state can only be observed directly within sparse boreholes or inferred conclusively from the presence of subglacial lakes. Here we synthesize spatially extensive inferences of the basal thermal state of the Greenland Ice Sheet to better constrain this state. Existing inferences include outputs from the eight thermomechanical ice-flow models included in the SeaRISE effort. New remote-sensing inferences of the basal thermal state are derived from Holocene radiostratigraphy, modern surface velocity and MODIS imagery. Both thermomechanical modeling and remote inferences generally agree that the Northeast Greenland Ice Stream and large portions of the southwestern ice-drainage systems are thawed at the bed, whereas the bed beneath the central ice divides, particularly their west-facing slopes, is frozen. Elsewhere, there is poor agreement regarding the basal thermal state. Both models and remote inferences rarely represent the borehole-observed basal thermal state accurately near NorthGRIP and DYE-3. This synthesis identifies a large portion of the Greenland Ice Sheet (about one third by area) where additional observations would most improve knowledge of its overall basal thermal state.</p>","language":"English","publisher":"Americal Geophysical Union","doi":"10.1002/2015JF003803","usgsCitation":"MacGregor, J.A., Fahnestock, M.A., Catania, G.A., Aschwanden, A., Clow, G.D., Colgan, W.T., Gogineni, P.S., Morlighem, M., Nowicki, S.M., Paden, J.D., Price, S., and Seroussi, H., 2016, A synthesis of the basal thermal state of the Greenland Ice Sheet: Journal of Geophysical Research F: Earth Surface, v. 121, no. 7, p. 1328-1350, https://doi.org/10.1002/2015JF003803.","productDescription":"23 p.","startPage":"1328","endPage":"1350","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-071124","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":470835,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/2015jf003803","text":"Publisher Index 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,{"id":70174057,"text":"70174057 - 2016 - Nitrogen enrichment regulates calcium sources in forests","interactions":[],"lastModifiedDate":"2017-11-22T17:26:41","indexId":"70174057","displayToPublicDate":"2016-06-27T12:15:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1837,"text":"Global Change Biology","active":true,"publicationSubtype":{"id":10}},"title":"Nitrogen enrichment regulates calcium sources in forests","docAbstract":"<p>Nitrogen (N) is a key nutrient that shapes cycles of other essential elements in forests, including calcium (Ca). When N availability exceeds ecosystem demands, excess N can stimulate Ca leaching and deplete Ca from soils. Over the long term, these processes may alter the proportion of available Ca that is derived from atmospheric deposition vs. bedrock weathering, which has fundamental consequences for ecosystem properties and nutrient supply. We evaluated how landscape variation in soil N, reflecting long-term legacies of biological N fixation, influenced plant and soil Ca availability and ecosystem Ca sources across 22 temperate forests in Oregon. We also examined interactions between soil N and bedrock Ca using soil N gradients on contrasting basaltic vs. sedimentary bedrock that differed 17-fold in underlying Ca content. We found that low-N forests on Ca-rich basaltic bedrock relied strongly on Ca from weathering, but that soil N enrichment depleted readily weatherable mineral Ca and shifted forest reliance toward atmospheric Ca. Forests on Ca-poor sedimentary bedrock relied more consistently on atmospheric Ca across all levels of soil N enrichment. The broad importance of atmospheric Ca was unexpected given active regional uplift and erosion that are thought to rejuvenate weathering supply of soil minerals. Despite different Ca sources to forests on basaltic vs. sedimentary bedrock, we observed consistent declines in plant and soil Ca availability with increasing N, regardless of the Ca content of underlying bedrock. Thus, traditional measures of Ca availability in foliage and soil exchangeable pools may poorly reflect long-term Ca sources that sustain soil fertility. We conclude that long-term soil N enrichment can deplete available Ca and cause forests to rely increasingly on Ca from atmospheric deposition, which may limit ecosystem Ca supply in an increasingly N-rich world.</p>","language":"English","publisher":"Wiley","doi":"10.1111/gcb.13335","usgsCitation":"Hynicka, J.D., Pett-Ridge, J.C., and Perakis, S.S., 2016, Nitrogen enrichment regulates calcium sources in forests: Global Change Biology, v. 22, no. 12, p. 4067-1079, https://doi.org/10.1111/gcb.13335.","productDescription":"13 p.","startPage":"4067","endPage":"1079","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-065193","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":324400,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"22","issue":"12","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2016-06-21","publicationStatus":"PW","scienceBaseUri":"57724021e4b07657d1a7938a","contributors":{"authors":[{"text":"Hynicka, Justin D.","contributorId":79797,"corporation":false,"usgs":true,"family":"Hynicka","given":"Justin","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":640733,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pett-Ridge, Julie C.","contributorId":172441,"corporation":false,"usgs":false,"family":"Pett-Ridge","given":"Julie","email":"","middleInitial":"C.","affiliations":[{"id":6680,"text":"Oregon State University","active":true,"usgs":false}],"preferred":false,"id":640734,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Perakis, Steven S. 0000-0003-0703-9314 sperakis@usgs.gov","orcid":"https://orcid.org/0000-0003-0703-9314","contributorId":145528,"corporation":false,"usgs":true,"family":"Perakis","given":"Steven","email":"sperakis@usgs.gov","middleInitial":"S.","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true},{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true}],"preferred":true,"id":640732,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70174066,"text":"70174066 - 2016 - Regional modeling of large wildfires under current and potential future climates in Colorado and Wyoming, USA","interactions":[],"lastModifiedDate":"2016-06-27T11:09:22","indexId":"70174066","displayToPublicDate":"2016-06-27T12:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1252,"text":"Climatic Change","active":true,"publicationSubtype":{"id":10}},"title":"Regional modeling of large wildfires under current and potential future climates in Colorado and Wyoming, USA","docAbstract":"<p>Regional analysis of large wildfire potential given climate change scenarios is crucial to understanding areas most at risk in the future, yet wildfire models are not often developed and tested at this spatial scale. We fit three historical climate suitability models for large wildfires (i.e. &ge; 400 ha) in Colorado andWyoming using topography and decadal climate averages corresponding to wildfire occurrence at the same temporal scale. The historical models classified points of known large wildfire occurrence with high accuracies. Using a novel approach in wildfire modeling, we applied the historical models to independent climate and wildfire datasets, and the resulting sensitivities were 0.75, 0.81, and 0.83 for Maxent, Generalized Linear, and Multivariate Adaptive Regression Splines, respectively. We projected the historic models into future climate space using data from 15 global circulation models and two representative concentration pathway scenarios. Maps from these geospatial analyses can be used to evaluate the changing spatial distribution of climate suitability of large wildfires in these states. April relative humidity was the most important covariate in all models, providing insight to the climate space of large wildfires in this region. These methods incorporate monthly and seasonal climate averages at a spatial resolution relevant to land management (i.e. 1 km2) and provide a tool that can be modified for other regions of North America, or adapted for other parts of the world.</p>","language":"English","publisher":"Springer","doi":"10.1007/s10584-015-1553-5","usgsCitation":"West, A., Kumar, S., and Jarnevich, C.S., 2016, Regional modeling of large wildfires under current and potential future climates in Colorado and Wyoming, USA: Climatic Change, v. 134, no. 4, p. 565-577, https://doi.org/10.1007/s10584-015-1553-5.","productDescription":"13 p.","startPage":"565","endPage":"577","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-067316","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":470838,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"http://link.springer.com/10.1007/s10584-015-1553-5","text":"External 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,{"id":70174065,"text":"70174065 - 2016 - Gravel-bed river floodplains are the ecological nexus of glaciated mountain landscapes","interactions":[],"lastModifiedDate":"2016-06-27T11:11:47","indexId":"70174065","displayToPublicDate":"2016-06-27T12:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5010,"text":"Science Advances","active":true,"publicationSubtype":{"id":10}},"title":"Gravel-bed river floodplains are the ecological nexus of glaciated mountain landscapes","docAbstract":"<p>Gravel-bed river floodplains in mountain landscapes disproportionately concentrate diverse habitats, nutrient cycling, productivity of biota, and species interactions. Although stream ecologists know that river channel and floodplain habitats used by aquatic organisms are maintained by hydrologic regimes that mobilize gravel-bed sediments, terrestrial ecologists have largely been unaware of the importance of floodplain structures and processes to the life requirements of a wide variety of species. We provide insight into gravel-bed rivers as the ecological nexus of glaciated mountain landscapes. We show why gravel-bed river floodplains are the primary arena where interactions take place among aquatic, avian, and terrestrial species from microbes to grizzly bears and provide essential connectivity as corridors for movement for both aquatic and terrestrial species. Paradoxically, gravel-bed river floodplains are also disproportionately unprotected where human developments are concentrated. Structural modifications to floodplains such as roads, railways, and housing and hydrologicaltering hydroelectric or water storage dams have severe impacts to floodplain habitat diversity and productivity, restrict local and regional connectivity, and reduce the resilience of both aquatic and terrestrial species, including adaptation to climate change. To be effective, conservation efforts in glaciated mountain landscapes intended to benefit the widest variety of organisms need a paradigm shift that has gravel-bed rivers and their floodplains as the central focus and that prioritizes the maintenance or restoration of the intact structure and processes of these critically important systems throughout their length and breadth.</p>","language":"English","publisher":"American Association for the Advancement of Science","doi":"10.1126/sciadv.1600026","usgsCitation":"Hauer, F.R., Locke, H., Dreitz, V., Hebblewhite, M., Lowe, W., Muhlfeld, C.C., Nelson, C., Proctor, M.F., and Rood, S.B., 2016, Gravel-bed river floodplains are the ecological nexus of glaciated mountain landscapes: Science Advances, v. 2, no. 6, e1600026; 13 p., https://doi.org/10.1126/sciadv.1600026.","productDescription":"e1600026; 13 p.","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-068965","costCenters":[{"id":547,"text":"Rocky Mountain Geographic Science Center","active":true,"usgs":true}],"links":[{"id":470839,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1126/sciadv.1600026","text":"Publisher Index Page"},{"id":324397,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"2","issue":"6","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5772401fe4b07657d1a79373","contributors":{"authors":[{"text":"Hauer, F. Richard","contributorId":76892,"corporation":false,"usgs":true,"family":"Hauer","given":"F.","email":"","middleInitial":"Richard","affiliations":[],"preferred":false,"id":640780,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Locke, Harvey","contributorId":172456,"corporation":false,"usgs":false,"family":"Locke","given":"Harvey","email":"","affiliations":[{"id":27049,"text":"Yellowstone to Yukon Conservation Initiative","active":true,"usgs":false}],"preferred":false,"id":640781,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dreitz, Victoria","contributorId":172457,"corporation":false,"usgs":false,"family":"Dreitz","given":"Victoria","affiliations":[{"id":5097,"text":"University of Montana, Division of Biological Sciences","active":true,"usgs":false}],"preferred":false,"id":640782,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hebblewhite, Mark","contributorId":69455,"corporation":false,"usgs":true,"family":"Hebblewhite","given":"Mark","affiliations":[],"preferred":false,"id":640783,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Lowe, Winsor","contributorId":115672,"corporation":false,"usgs":true,"family":"Lowe","given":"Winsor","affiliations":[],"preferred":false,"id":640784,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Muhlfeld, Clint C. 0000-0002-4599-4059 cmuhlfeld@usgs.gov","orcid":"https://orcid.org/0000-0002-4599-4059","contributorId":924,"corporation":false,"usgs":true,"family":"Muhlfeld","given":"Clint","email":"cmuhlfeld@usgs.gov","middleInitial":"C.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true},{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":640779,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Nelson, Cara","contributorId":172458,"corporation":false,"usgs":false,"family":"Nelson","given":"Cara","email":"","affiliations":[{"id":5097,"text":"University of Montana, Division of Biological Sciences","active":true,"usgs":false}],"preferred":false,"id":640785,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Proctor, Michael F.","contributorId":150939,"corporation":false,"usgs":false,"family":"Proctor","given":"Michael","email":"","middleInitial":"F.","affiliations":[{"id":18147,"text":"Birchdale Ecological","active":true,"usgs":false}],"preferred":false,"id":640786,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Rood, Stewart B.","contributorId":169010,"corporation":false,"usgs":false,"family":"Rood","given":"Stewart","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":640787,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70174054,"text":"70174054 - 2016 - Osteopilus septentrionalis (Cuban treefrog)","interactions":[],"lastModifiedDate":"2016-06-27T10:18:20","indexId":"70174054","displayToPublicDate":"2016-06-27T11:15:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1898,"text":"Herpetological Review","active":true,"publicationSubtype":{"id":10}},"title":"Osteopilus septentrionalis (Cuban treefrog)","docAbstract":"<p>USA: LOUISIANA: St. Tammany Parish: on private property on Allen Road in Slidell (ca. 30.262&deg;N, 89.741&deg;W; WGS 84). 2 April 2013. Aaron Steece. Verified by Hardin Waddle. Florida Museum of Natural History (UF 177727, photo voucher). New parish record. This adult was found ca. 2 m high on a branch at the edge of a wooded area behind a house. It was photographed and released, as the species identity and significance was unknown. The origin of this individual is unknown. The homeowner stated that he bought nursery plants often, but checked them thoroughly as he put them indoors. Since this initial finding, the homeowner learned more about Cuban Treefrogs and searched for them on many occasions at this location for two years, but detected no additional Cuban Treefrogs.</p>","language":"English","publisher":"Society for the Study of Amphibians and Reptiles","issn":"0018-084X","usgsCitation":"Glorioso, B.M., Steece, A., Lemann, Z.K., Lazare, R., and Beck, J.W., 2016, Osteopilus septentrionalis (Cuban treefrog): Herpetological Review, v. 47, no. 2, p. 249-249.","productDescription":"1 p.","startPage":"249","endPage":"249","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-075569","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":324391,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United STates","state":"Louisiana","county":"Orleans Parish, St. Tammany 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,{"id":70170827,"text":"ds995 - 2016 - Post-Hurricane Joaquin coastal oblique aerial photographs collected from the South Carolina/North Carolina border to Montauk Point, New York, October 7–9, 2015","interactions":[],"lastModifiedDate":"2022-11-02T14:57:45.94871","indexId":"ds995","displayToPublicDate":"2016-06-27T11:00:00","publicationYear":"2016","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":"995","title":"Post-Hurricane Joaquin coastal oblique aerial photographs collected from the South Carolina/North Carolina border to Montauk Point, New York, October 7–9, 2015","docAbstract":"<p>The U.S. Geological Survey (USGS), as part of the <a title=\"National Assessment for Coastal Change Hazards\" href=\"http://coastal.er.usgs.gov/hurricanes/\" target=\"_blank\" data-mce-href=\"http://coastal.er.usgs.gov/hurricanes/\" rel=\"noopener\">National Assessment of Coastal Change Hazards</a> project, conducts baseline and storm-response photography missions to document and understand the changes in vulnerability of the Nation's coasts to extreme storms (Morgan, 2009). On October 7–9, 2015, the USGS conducted an oblique aerial photographic survey of the coast from the South Carolina/North Carolina border to Montauk Point, New York (fig. 1), aboard a Cessna 182 (aircraft) at an altitude of 500 feet (ft) and approximately 1,200 ft offshore fig. 2. This mission was conducted to collect post-Hurricane Joaquin data for assessing incremental changes in the beach and nearshore area since the last surveys, mission flown in September 2014 (Virginia to New York: Morgan, 2015), November 2012 (northern North Carolina: Morgan and others, 2014) and May 2008 (southern North Carolina: unpublished report), and the data can be used to assess of future coastal change.</p><p>The photographs in this report are Joint Photographic Experts Group (JPEG) images. ExifTool was used to add the following to the header of each photo: time of collection, Global Positioning System (GPS) latitude, GPS longitude, keywords, credit, artist (photographer), caption, copyright, and contact information. The photograph locations are an estimate of the position of the aircraft at the time the photograph was taken and do not indicate the location of any feature in the images (see the Navigation Data page). These photographs document the state of the barrier islands and other coastal features at the time of the survey. Pages containing thumbnail images of the photographs, referred to as contact sheets, were created in 5-minute segments of flight time. These segments can be found on the Photos and Maps page. Photographs can be opened directly with any JPEG-compatible image viewer by clicking on a thumbnail on the contact sheet.</p><p>In addition to the photographs, a Google Earth Keyhole Markup Language (KML) file is provided and can be used to view the images by clicking on the marker and then clicking on either the thumbnail or the link above the thumbnail. The KML file was created using the photographic navigation files. This KML file can be found in the kml folder.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds995","usgsCitation":"Morgan, K.L.M., 2016, Post-Hurricane Joaquin coastal oblique aerial photographs collected from the South Carolina/North Carolina border to Montauk Point, New York, October 7–9, 2015: U.S. Geological Survey Data Series 995, https://dx.doi.org/10.3133/ds995.","productDescription":"HTML Document","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-074292","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true},{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"links":[{"id":321248,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/0995"},{"id":324389,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"}],"country":"United States","state":"Delaware, Maryland, New Jersey, New York, North Carolina, South Carolina, Virginia","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -78.55224609374999,\n              33.7243396617476\n            ],\n            [\n              -77.816162109375,\n              33.76088200086917\n            ],\n            [\n              -76.431884765625,\n              34.58799745550482\n            ],\n            [\n              -75.41015624999999,\n              35.21869749632885\n            ],\n            [\n              -75.333251953125,\n              35.7286770448517\n            ],\n            [\n              -75.860595703125,\n              36.923547681089296\n            ],\n            [\n              -75.552978515625,\n              37.448696585910376\n            ],\n     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kmorgan@usgs.gov","orcid":"https://orcid.org/0000-0002-2994-5572","contributorId":169124,"corporation":false,"usgs":true,"family":"Morgan","given":"Karen L.M.","email":"kmorgan@usgs.gov","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":628587,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70174167,"text":"70174167 - 2016 - A comparison of three macroinvertebrate sampling devices for use in conducting rapid-assessment procedures of Delmarva Peninsula wetlands","interactions":[],"lastModifiedDate":"2018-08-10T10:03:33","indexId":"70174167","displayToPublicDate":"2016-06-27T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2898,"text":"Northeastern Naturalist","active":true,"publicationSubtype":{"id":10}},"title":"A comparison of three macroinvertebrate sampling devices for use in conducting rapid-assessment procedures of Delmarva Peninsula wetlands","docAbstract":"<p>Three types of macroinvertebrate collecting devices, Gerking box traps, D-shaped sweep nets, and activity traps, have commonly been used to sample macroinvertebrates when conducting rapid biological assessments of North American wetlands. We compared collections of macroinvertebrates identified to the family level made with these devices in 6 constructed and 2 natural wetlands on the Delmarva Peninsula of Maryland. We also assessed their potential efficacy in comparisons among wetlands using several proportional and richness attributes. Differences in median diversity among samples from the 3 devices were significant; the sweep-net samples had the greatest diversity and the activity-trap samples had the least diversity. Differences in median abundance were not significant between the Gerking box-trap samples and sweep-net samples, but median abundance among activity-trap samples was significantly lower than among samples of the other 2 devices. Within samples, the proportions of median diversity composed of major class and order groupings were similar among the 3 devices. However the proportions of median abundance composed of the major class and order groupings within activity-trap samples were not similar to those of the other 2 devices. There was a slight but significant increase in the total number of families captured when we combined activity-trap samples with Gerking box-trap samples or with sweep-net samples, and the per-sample median numbers of families of the combined activity-trap and sweep-net samples was significantly higher than that of the combined activity-trap and Gerking box-trap samples. We detected significant differences among wetlands for 4 macroinvertebrate attributes with the Gerking box-trap data, 6 attributes with sweep-net data, and 5 attributes with the activity-trap data. A small, but significant increase in the number of attributes showing differences among wetlands occurred when we combined activity-trap samples with those of the Gerking boxtrap or sweep net.</p>","language":"English","publisher":"Eagle Hill Institute","publisherLocation":"Steuben, ME","doi":"10.1656/045.023.0209","usgsCitation":"Lowe, T.P., Tebbs, K., and Sparling, D.W., 2016, A comparison of three macroinvertebrate sampling devices for use in conducting rapid-assessment procedures of Delmarva Peninsula wetlands: Northeastern Naturalist, v. 23, no. 2, p. 321-338, https://doi.org/10.1656/045.023.0209.","productDescription":"18 p.","startPage":"321","endPage":"338","numberOfPages":"18","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-066463","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true},{"id":34983,"text":"Contaminant Biology Program","active":true,"usgs":true}],"links":[{"id":324542,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Delaware, Maryland","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -76.629638671875,\n              37.04202441635081\n            ],\n            [\n              -76.629638671875,\n              39.639537564366684\n            ],\n            [\n              -74.9102783203125,\n              39.639537564366684\n            ],\n            [\n              -74.9102783203125,\n              37.04202441635081\n            ],\n            [\n              -76.629638671875,\n              37.04202441635081\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"23","issue":"2","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationDate":"2016-06-21","publicationStatus":"PW","scienceBaseUri":"57739face4b07657d1a90c97","contributors":{"authors":[{"text":"Lowe, T. Peter plowe@usgs.gov","contributorId":172500,"corporation":false,"usgs":true,"family":"Lowe","given":"T.","email":"plowe@usgs.gov","middleInitial":"Peter","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":641016,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Tebbs, Kerry","contributorId":172511,"corporation":false,"usgs":false,"family":"Tebbs","given":"Kerry","email":"","affiliations":[],"preferred":false,"id":641082,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sparling, Donald W.","contributorId":7220,"corporation":false,"usgs":true,"family":"Sparling","given":"Donald","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":641083,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70174169,"text":"70174169 - 2016 - Spatially explicit feedbacks between seagrass meadow structure, sediment and light: Habitat suitability for seagrass growth","interactions":[],"lastModifiedDate":"2016-06-28T15:11:27","indexId":"70174169","displayToPublicDate":"2016-06-27T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":664,"text":"Advances in Water Resources","active":true,"publicationSubtype":{"id":10}},"title":"Spatially explicit feedbacks between seagrass meadow structure, sediment and light: Habitat suitability for seagrass growth","docAbstract":"<p>In shallow coastal bays where nutrient loading and riverine inputs are low, turbidity, and the consequent light environment are controlled by resuspension of bed sediments due to wind-waves and tidal currents. High sediment resuspension and low light environments can limit benthic primary productivity; however, both currents and waves are affected by the presence of benthic plants such as seagrass. This feedback between the presence of benthic primary producers such as seagrass and the consequent light environment has been predicted to induce bistable dynamics locally. However, these vegetated areas influence a larger area than they footprint, including a barren adjacent downstream area which exhibits reduced shear stresses. Here we explore through modeling how the patchy structure of seagrass meadows on a landscape may affect sediment resuspension and the consequent light environment due to the presence of this sheltered region. Heterogeneous vegetation covers comprising a mosaic of randomly distributed patches were generated to investigate the effect of patch modified hydrodynamics. Actual cover of vegetation on the landscape was used to facilitate comparisons across landscape realizations. Hourly wave and current shear stresses on the landscape along with suspended sediment concentration and light attenuation characteristics were then calculated and spatially averaged to examine how actual cover and mean water depth affect the bulk sediment and light environment. The results indicate that an effective cover, which incorporates the sheltering area, has important controls on the distributions of shear stress, suspended sediment, light environment, and consequent seagrass habitat suitability. Interestingly, an optimal habitat occurs within a depth range where, if actual cover is reduced past some threshold, the bulk light environment would no longer favor seagrass growth.</p>","language":"English","publisher":"Elsevier","publisherLocation":"Amsterdam, Netherlands","doi":"10.1016/j.advwatres.2015.09.001","usgsCitation":"Carr, J., D’Odorico, P., McGlathery, K., and Wiberg, P.L., 2016, Spatially explicit feedbacks between seagrass meadow structure, sediment and light: Habitat suitability for seagrass growth: Advances in Water Resources, v. 93, Part B, p. 315-325, https://doi.org/10.1016/j.advwatres.2015.09.001.","productDescription":"21 p.","startPage":"315","endPage":"325","numberOfPages":"21","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-067162","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":470840,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.advwatres.2015.09.001","text":"Publisher Index Page"},{"id":324539,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":324494,"type":{"id":15,"text":"Index Page"},"url":"https://www.sciencedirect.com/science/article/pii/S030917081500202X"}],"volume":"93, Part B","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57739fb7e4b07657d1a90d66","contributors":{"authors":[{"text":"Carr, Joel A. 0000-0002-9164-4156 jcarr@usgs.gov","orcid":"https://orcid.org/0000-0002-9164-4156","contributorId":168645,"corporation":false,"usgs":true,"family":"Carr","given":"Joel A.","email":"jcarr@usgs.gov","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":641019,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"D’Odorico, Paul","contributorId":172510,"corporation":false,"usgs":false,"family":"D’Odorico","given":"Paul","email":"","affiliations":[],"preferred":false,"id":641079,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"McGlathery, Karen","contributorId":36057,"corporation":false,"usgs":true,"family":"McGlathery","given":"Karen","affiliations":[],"preferred":false,"id":641080,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wiberg, Patricia L.","contributorId":72716,"corporation":false,"usgs":true,"family":"Wiberg","given":"Patricia","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":641081,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70178788,"text":"70178788 - 2016 - Estimating heterotrophic respiration at large scales: Challenges, approaches, and next steps","interactions":[],"lastModifiedDate":"2016-12-07T17:17:02","indexId":"70178788","displayToPublicDate":"2016-06-27T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1475,"text":"Ecosphere","active":true,"publicationSubtype":{"id":10}},"title":"Estimating heterotrophic respiration at large scales: Challenges, approaches, and next steps","docAbstract":"<p>Heterotrophic respiration (HR), the aerobic and anaerobic processes mineralizing organic matter, is a key carbon flux but one impossible to measure at scales significantly larger than small experimental plots. This impedes our ability to understand carbon and nutrient cycles, benchmark models, or reliably upscale point measurements. Given that a new generation of highly mechanistic, genomic-specific global models is not imminent, we suggest that a useful step to improve this situation would be the development of “Decomposition Functional Types” (DFTs). Analogous to plant functional types (PFTs), DFTs would abstract and capture important differences in HR metabolism and flux dynamics, allowing modelers and experimentalists to efficiently group and vary these characteristics across space and time. We argue that DFTs should be initially informed by top-down expert opinion, but ultimately developed using bottom-up, data-driven analyses, and provide specific examples of potential dependent and independent variables that could be used. We present an example clustering analysis to show how annual HR can be broken into distinct groups associated with global variability in biotic and abiotic factors, and demonstrate that these groups are distinct from (but complementary to) already-existing PFTs. A similar analysis incorporating observational data could form the basis for future DFTs. Finally, we suggest next steps and critical priorities: collection and synthesis of existing data; more in-depth analyses combining open data with rigorous testing of analytical results; using point measurements and realistic forcing variables to constrain process-based models; and planning by the global modeling community for decoupling decomposition from fixed site data. These are all critical steps to build a foundation for DFTs in global models, thus providing the ecological and climate change communities with robust, scalable estimates of HR.</p>","language":"English","publisher":"Ecological Society of America","doi":"10.1002/ecs2.1380","usgsCitation":"Bond-Lamberty, B., Epron, D., Harden, J.W., Harmon, M.E., Hoffman, F., Kumar, J., McGuire, A.D., and Vargas, R., 2016, Estimating heterotrophic respiration at large scales: Challenges, approaches, and next steps: Ecosphere, v. 7, no. 6, Article e01380; 13 p., https://doi.org/10.1002/ecs2.1380.","productDescription":"Article e01380; 13 p.","ipdsId":"IP-070883","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":470841,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ecs2.1380","text":"Publisher Index Page"},{"id":331662,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"7","issue":"6","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2016-06-27","publicationStatus":"PW","scienceBaseUri":"58492df3e4b06d80b7b093a6","chorus":{"doi":"10.1002/ecs2.1380","url":"http://dx.doi.org/10.1002/ecs2.1380","publisher":"Wiley-Blackwell","authors":"Bond-Lamberty Ben, Epron Daniel, Harden Jennifer, Harmon Mark E., Hoffman Forrest, Kumar Jitendra, David McGuire Anthony, Vargas Rodrigo","journalName":"Ecosphere","publicationDate":"6/2016"},"contributors":{"authors":[{"text":"Bond-Lamberty, Ben","contributorId":172028,"corporation":false,"usgs":false,"family":"Bond-Lamberty","given":"Ben","email":"","affiliations":[{"id":13566,"text":"Joint Global Change Research Institute, Pacific Northwest National Laboratory","active":true,"usgs":false},{"id":33852,"text":"Univ of Maryland, College Park, MD","active":true,"usgs":false}],"preferred":false,"id":655178,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Epron, Daniel","contributorId":177277,"corporation":false,"usgs":false,"family":"Epron","given":"Daniel","email":"","affiliations":[],"preferred":false,"id":655179,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Harden, Jennifer W. 0000-0002-6570-8259 jharden@usgs.gov","orcid":"https://orcid.org/0000-0002-6570-8259","contributorId":1971,"corporation":false,"usgs":true,"family":"Harden","given":"Jennifer","email":"jharden@usgs.gov","middleInitial":"W.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true},{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true}],"preferred":true,"id":655180,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Harmon, Mark E.","contributorId":96961,"corporation":false,"usgs":true,"family":"Harmon","given":"Mark","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":655181,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hoffman, Forrest","contributorId":177278,"corporation":false,"usgs":false,"family":"Hoffman","given":"Forrest","email":"","affiliations":[],"preferred":false,"id":655132,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Kumar, Jitendra","contributorId":177279,"corporation":false,"usgs":false,"family":"Kumar","given":"Jitendra","email":"","affiliations":[],"preferred":false,"id":655182,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"McGuire, Anthony D. 0000-0003-4646-0750 ffadm@usgs.gov","orcid":"https://orcid.org/0000-0003-4646-0750","contributorId":2493,"corporation":false,"usgs":true,"family":"McGuire","given":"Anthony","email":"ffadm@usgs.gov","middleInitial":"D.","affiliations":[],"preferred":false,"id":655183,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Vargas, Rodrigo","contributorId":172036,"corporation":false,"usgs":false,"family":"Vargas","given":"Rodrigo","affiliations":[],"preferred":false,"id":655184,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70174046,"text":"fs20163037 - 2016 - Mapping water use—Landsat and water resources in the United States","interactions":[],"lastModifiedDate":"2019-09-20T10:50:09","indexId":"fs20163037","displayToPublicDate":"2016-06-27T00:00:00","publicationYear":"2016","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":"2016-3037","displayTitle":"Mapping Water Use—Landsat and Water Resources in the United States","title":"Mapping water use—Landsat and water resources in the United States","docAbstract":"<p>Using Landsat satellite data, scientists with the U.S. Geological Survey have helped to refine a technique called evapotranspiration mapping to measure how much water crops are using across landscapes and through time. These water-use maps are created using a computer model that integrates Landsat and weather data.</p><p>Crucial to the process is the thermal (infrared) band from Landsat. Using the Landsat thermal band with its 100-meter resolution, water-use maps can be created at a scale detailed enough to show how much water crops are using at the level of individual fields anywhere in the world.&nbsp;</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20163037","collaboration":"Prepared in cooperation with the National Aeronautics and Space Administration","usgsCitation":"U.S. Geological Survey, 2016, Mapping water use—Landsat and water resources in the United States (ver. 1.1, September 2019): U.S. Geological Survey Fact Sheet 2016–3037, 2 p., https://doi.org/10.3133/fs20163037.","productDescription":"2 p.","numberOfPages":"2","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-075235","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":367504,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2016/3037/fs20163037_2.pdf","text":"Report","size":"5.74 MB","linkFileType":{"id":1,"text":"pdf"},"description":"FS 2016–3037"},{"id":324411,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2016/3037/coverthb2.jpg"},{"id":367505,"rank":3,"type":{"id":25,"text":"Version History"},"url":"https://pubs.usgs.gov/fs/2016/3037/versionHist.txt","size":"1.0 kB","linkFileType":{"id":2,"text":"txt"},"description":"Version History"}],"edition":"Version 1.0: June 27, 2016; Version 1.1 September 18, 2019","contact":"<p>Director,&nbsp;<a data-mce-href=\"https://www.usgs.gov/centers/eros\" href=\"https://www.usgs.gov/centers/eros\">Earth Resources Observation and Science (EROS) Center</a><br>U.S. Geological Survey<br>47914 252nd Street<br>Sioux Falls, SD 57198<a href=\"http://eros.usgs.gov\" data-mce-href=\"http://eros.usgs.gov\"></a></p>","tableOfContents":"<ul><li>Water-Use Mapping</li><li>From Daily Glimpses to Long-Term Trends</li><li>How Water-Use Maps Help</li><li>Planning Today for Water Demand Tomorrow</li><li>References Cited</li></ul>","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"publishedDate":"2016-06-27","revisedDate":"2019-09-19","noUsgsAuthors":false,"publicationDate":"2016-06-27","publicationStatus":"PW","scienceBaseUri":"57724020e4b07657d1a79381","contributors":{"authors":[{"text":"Johnson, Rebecca L. 0000-0002-8771-6161 rljohnson@usgs.gov","orcid":"https://orcid.org/0000-0002-8771-6161","contributorId":178874,"corporation":false,"usgs":true,"family":"Johnson","given":"Rebecca","email":"rljohnson@usgs.gov","middleInitial":"L.","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":640681,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70174329,"text":"70174329 - 2016 - Effects of Lead Exposure, Environmental Conditions, and Metapopulation Processes on Population Dynamics of Spectacled Eiders.","interactions":[],"lastModifiedDate":"2016-07-08T11:45:45","indexId":"70174329","displayToPublicDate":"2016-06-26T18:30:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2884,"text":"North American Fauna","active":true,"publicationSubtype":{"id":10}},"title":"Effects of Lead Exposure, Environmental Conditions, and Metapopulation Processes on Population Dynamics of Spectacled Eiders.","docAbstract":"<p>Spectacled eider Somateria fischeri numbers have declined and they are considered threatened in accordance with the US Endangered Species Act throughout their range. We synthesized the available information for spectacled eiders to construct deterministic, stochastic, and metapopulation models for this species that incorporated current estimates of vital rates such as nest success, adult survival, and the impact of lead poisoning on survival. Elasticities of our deterministic models suggested that the populations would respond most dramatically to changes in adult female survival and that the reductions in adult female survival related to lead poisoning were locally important. We also examined the sensitivity of the population to changes in lead exposure rates. With the knowledge that some vital rates vary with environmental conditions, we cast stochastic models that mimicked observed variation in productivity. We also used the stochastic model to examine the probability that a specific population will persist for periods of up to 50 y. Elasticity analysis of these models was consistent with that for the deterministic models, with perturbations to adult female survival having the greatest effect on population projections. When used in single population models, demographic data for some localities predicted rapid declines that were inconsistent with our observations in the field. Thus, we constructed a metapopulation model and examined the predictions for local subpopulations and the metapopulation over a wide range of dispersal rates. Using the metapopulation model, we were able to simulate the observed stability of local subpopulations as well as that of the metapopulation. Finally, we developed a global metapopulation model that simulates periodic winter habitat limitation, similar to that which might be experienced in years of heavy sea ice in the core wintering area of spectacled eiders in the central Bering Sea. Our metapopulation analyses suggested that no subpopulation is independent and that future management actions may be improved through a metapopulation framework. For example, management actions could include displacement of breeding females from\"sink\" areas that reduce the growth potential of the population as a whole. However, this action is contingent upon dispersal among local populations, for which there is limited information. Thus, we recommend that researchers examine dispersal behavior among areas on the Yukon-Kuskokwim Delta in western Alaska. The metapopulation framework could also be applied at the rangewide scale to address the density-dependent limitation of available polynya habitat during winter that may limit the recovery of small subpopulations, such as that on the Yukon-Kuskokwim Delta. Reductions in other subpopulations may be necessary to ensure an increase in the Yukon-Kuskokwim Delta population. Thus, we recommend that managers consider the interpopulation dynamics of spectacled eiders at different spatial scales in future management actions.</p>","language":"English","doi":"10.3996/nafa.81.0001","usgsCitation":"Flint, P.L., Grand, J.B., Petersen, M.R., and Rockwell, R.F., 2016, Effects of Lead Exposure, Environmental Conditions, and Metapopulation Processes on Population Dynamics of Spectacled Eiders.: North American Fauna, v. 81, p. 1-41, https://doi.org/10.3996/nafa.81.0001.","productDescription":"iii, 44 p.","startPage":"1","endPage":"41","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-057251","costCenters":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"links":[{"id":470842,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3996/nafa.81.0001","text":"Publisher Index Page"},{"id":438607,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F74B2ZCK","text":"USGS data release","linkHelpText":"Spectacled Eider (Somateria fischeri) Nest, Capture, and Resight Records Yukon-Kuskokwim Delta, Alaska"},{"id":324910,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Russia, United States","state":"Alaska","otherGeospatial":"Bering Sea, Chukchi Sea","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -141.85546875,\n              59.80063426102869\n            ],\n            [\n              -145.283203125,\n              60.02095215374802\n            ],\n            [\n              -146.25,\n              60.02095215374802\n            ],\n            [\n              -147.744140625,\n              59.57885104663186\n            ],\n            [\n              -150.205078125,\n              59.0405546167585\n            ],\n            [\n              -151.435546875,\n              57.32652122521709\n            ],\n            [\n              -153.45703125,\n              56.26776108757582\n            ],\n            [\n              -163.65234374999997,\n              52.482780222078205\n            ],\n            [\n              -177.36328125,\n              50.064191736659104\n            ],\n            [\n              -186.15234374999997,\n              50.12057809796008\n            ],\n            [\n              -195.64453125,\n              54.67383096593114\n            ],\n            [\n              -196.5234375,\n              57.938183012205315\n            ],\n            [\n              -202.060546875,\n              62.471723714758724\n            ],\n            [\n              -222.626953125,\n              72.18180355624855\n            ],\n            [\n              -228.69140625,\n              75.67219739055291\n            ],\n            [\n              -228.603515625,\n              76.51681887717322\n            ],\n            [\n              -219.375,\n              77.13761179723426\n            ],\n            [\n              -210.76171875,\n              77.19617635994676\n            ],\n            [\n              -195.64453125,\n              77.2156395545647\n            ],\n            [\n              -179.912109375,\n              76.78065491639973\n            ],\n            [\n              -162.0703125,\n              75.47513069090051\n            ],\n            [\n              -149.23828125,\n              74.18805166460048\n            ],\n            [\n              -140.888671875,\n              69.7485511291223\n            ],\n            [\n              -141.85546875,\n              59.80063426102869\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"81","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2016-06-22","publicationStatus":"PW","scienceBaseUri":"5780ceb6e4b0811616822315","contributors":{"authors":[{"text":"Flint, Paul L. 0000-0002-8758-6993 pflint@usgs.gov","orcid":"https://orcid.org/0000-0002-8758-6993","contributorId":3284,"corporation":false,"usgs":true,"family":"Flint","given":"Paul","email":"pflint@usgs.gov","middleInitial":"L.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":641925,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Grand, J. Barry 0000-0002-3576-4567 barry_grand@usgs.gov","orcid":"https://orcid.org/0000-0002-3576-4567","contributorId":579,"corporation":false,"usgs":true,"family":"Grand","given":"J.","email":"barry_grand@usgs.gov","middleInitial":"Barry","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":641926,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Petersen, Margaret R. 0000-0001-6082-3189 mrpetersen@usgs.gov","orcid":"https://orcid.org/0000-0001-6082-3189","contributorId":167729,"corporation":false,"usgs":true,"family":"Petersen","given":"Margaret","email":"mrpetersen@usgs.gov","middleInitial":"R.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":641927,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Rockwell, Robert F.","contributorId":172752,"corporation":false,"usgs":false,"family":"Rockwell","given":"Robert","email":"","middleInitial":"F.","affiliations":[{"id":6989,"text":"American Museum of Natural History","active":true,"usgs":false}],"preferred":false,"id":641928,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70174335,"text":"70174335 - 2016 - Diadophis Puntatus Puntatus (Southern Ring-neck Snake) Predation","interactions":[],"lastModifiedDate":"2016-07-08T13:02:51","indexId":"70174335","displayToPublicDate":"2016-06-26T18:30:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1898,"text":"Herpetological Review","active":true,"publicationSubtype":{"id":10}},"title":"Diadophis Puntatus Puntatus (Southern Ring-neck Snake) Predation","docAbstract":"<p>DIADOPHIS PUNCTATUS PUNCTATUS (Southern Ring-necked Snake). PREDATION. Here I present the first record of Buteo lineatus (Red-shouldered Hawk) predator on a Diadophis p. punctatus. At ca. 1100h on l2 February2 013,I observed a B. lineatus eating a katydid in Corkscrew Swamp Sanctuary (26.2730'N, 81.6079\"W;WGS 84), Collier Co., Florida, USA. The hawk was in a Pond Cypress tree on the edge of a small prairie bordered on one side by a cypress swamp and by pine woodland on the other. Immediately upon consuming the katydid, the hawk flew to the ground ca. 1.5 m from an elevated boardwalk to grab an adult D. punctatus. It then flew with the snake in its talons to a branch 3 m high ca. l0 m from the boardwalk. The hawk stretched and otherwise manipulated the struggling snake (Fig.1) before consuming the still moving snake. Although snakes are a well-known component of B. lineatus diet (Clark1 987A. Field Guide to the Hawks of North America. Houghton Mifflin Co. Boston, Massachusetts 198 pp.), I found only one literature reference to Red-shouldered Hawks eating Ring-neck Snakes (Fisher 1893.Hawks and Owls of the United States in their Relation to Agriculture. U.S. Dept. Agric., Div Ornith. Mamm. Bull. 3). That specimen was from Canton, New York (taken 26 Oct IBBB) and would be a D. p. edwardisii (Northern Ring-necked Snake), while the snake reported on here is a Diadophis p. punctatus (USNM Herp Image 2847a -c). Based on evidence presented by Fontanella et al. (2008. Mol. Phylogenet Evol.46:1049-1070), D. p. edwardisii and D. p. punctatus are likely different species.</p>","language":"English","usgsCitation":"Gotte, S.W., 2016, Diadophis Puntatus Puntatus (Southern Ring-neck Snake) Predation: Herpetological Review, v. 47, no. 2.","productDescription":"1 p.","startPage":"310","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-074076","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":324929,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Florida","county":"Collier County","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -80.87310791015625,\n              25.81101826700785\n            ],\n            [\n              -81.3812255859375,\n              25.738055028213907\n            ],\n            [\n              -81.63528442382812,\n              25.888878582127084\n            ],\n            [\n              -81.66824340820312,\n              25.835741380387113\n            ],\n            [\n              -81.6888427734375,\n              25.834505347339903\n            ],\n            [\n              -81.83853149414062,\n              26.10858718364705\n            ],\n            [\n              -81.84677124023438,\n              26.218287092329764\n            ],\n            [\n              -81.85089111328125,\n              26.282333614751355\n            ],\n            [\n              -81.58309936523438,\n              26.27248260209306\n            ],\n            [\n              -81.58584594726562,\n              26.45090222367262\n            ],\n            [\n              -81.44439697265624,\n              26.45090222367262\n            ],\n            [\n              -80.848388671875,\n              26.433687518117914\n            ],\n            [\n              -80.87310791015625,\n              25.81101826700785\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"47","issue":"2","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5780ceb4e4b08116168222f9","contributors":{"authors":[{"text":"Gotte, Steve W. 0000-0001-5509-4495 sgotte@usgs.gov","orcid":"https://orcid.org/0000-0001-5509-4495","contributorId":4481,"corporation":false,"usgs":true,"family":"Gotte","given":"Steve","email":"sgotte@usgs.gov","middleInitial":"W.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":641954,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70176240,"text":"70176240 - 2016 - Response and resilience of Spartina alterniflora to sudden dieback","interactions":[],"lastModifiedDate":"2016-09-02T14:33:27","indexId":"70176240","displayToPublicDate":"2016-06-25T14:30:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2219,"text":"Journal of Coastal Conservation","active":true,"publicationSubtype":{"id":10}},"title":"Response and resilience of Spartina alterniflora to sudden dieback","docAbstract":"<p>We measured an array of biophysical and spectral variables to evaluate the response and recovery of <i class=\"EmphasisTypeItalic \">Spartina alterniflora</i> to a sudden dieback event in spring and summer 2004 within a low marsh in coastal Virginia, USA. <i class=\"EmphasisTypeItalic \">S. alterniflora</i> is a foundation species, whose loss decreases ecosystem services and potentiates ecosystem state change. Long-term records of the potential environmental drivers of dieback such as precipitation and tidal inundation did not evidence any particular anomalies, although Hurricane Isabel in fall 2003 may have been related to dieback. Transects were established across the interface between the dieback area and apparently healthy areas of marsh. Plant condition was classified based on ground cover within transects as dieback, intermediate and healthy. Numerous characteristics of <i class=\"EmphasisTypeItalic \">S. alterniflora</i> culms within each condition class were assessed including biomass, morphology and spectral attributes associated with photosynthetic pigments. Plants demonstrated evidence of stress in 2004 and 2005 beyond areas of obvious dieback and resilience at a multi-year scale. Resilience of the plants was evident in recovery of ground cover and biomass largely within 3 y, although a small remnant of dieback persisted for 8 y. Culms surviving within the dieback and areas of intermediate impact had modified morphological traits and spectral response that reflected stress. These morphometric and spectral differences among plant cover condition classes serve as guidelines for monitoring of dieback initiation, effects and subsequent recovery. Although a number of environmental and biotic parameters were assessed relative to causation, the reason for this particular dieback remains largely unknown, however.</p>","language":"English","publisher":"Springer","doi":"10.1007/s11852-016-0445-9","collaboration":"Department of Biology, East Carolina University, Greenville, NC; \nCHA Consulting, Inc., 1901 Innovation Drive, Suite 2100, Blacksburg , VA;\nDepartment of Environmental Science, University of Virginia, VA.","usgsCitation":"Marsh, A., Blum, L., Christian, R.R., Ramsey, E.W., and Rangoonwala, A., 2016, Response and resilience of Spartina alterniflora to sudden dieback: Journal of Coastal Conservation, v. 20, no. 4, p. 335-350, https://doi.org/10.1007/s11852-016-0445-9.","productDescription":"15 p.","startPage":"335","endPage":"350","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-060146","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research 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Carolina University, Greenville, NC","active":true,"usgs":false}],"preferred":false,"id":648003,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Blum, Linda K.","contributorId":92794,"corporation":false,"usgs":true,"family":"Blum","given":"Linda K.","affiliations":[],"preferred":false,"id":648004,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Christian, Robert R.","contributorId":96412,"corporation":false,"usgs":true,"family":"Christian","given":"Robert","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":648005,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ramsey, Elijah W. III 0000-0002-4518-5796 ramseye@usgs.gov","orcid":"https://orcid.org/0000-0002-4518-5796","contributorId":2883,"corporation":false,"usgs":true,"family":"Ramsey","given":"Elijah","suffix":"III","email":"ramseye@usgs.gov","middleInitial":"W.","affiliations":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":false,"id":648002,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Rangoonwala, Amina 0000-0002-0556-0598 rangoonwalaa@usgs.gov","orcid":"https://orcid.org/0000-0002-0556-0598","contributorId":3455,"corporation":false,"usgs":true,"family":"Rangoonwala","given":"Amina","email":"rangoonwalaa@usgs.gov","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"preferred":true,"id":648006,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70175641,"text":"70175641 - 2016 - Elucidation of taste- and odor-producing bacteria and toxigenic cyanobacteria in a Midwestern drinking water supply reservoir by shotgun metagenomics analysis","interactions":[],"lastModifiedDate":"2016-08-18T09:29:57","indexId":"70175641","displayToPublicDate":"2016-06-24T14:30:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":850,"text":"Applied and Environmental Microbiology","active":true,"publicationSubtype":{"id":10}},"title":"Elucidation of taste- and odor-producing bacteria and toxigenic cyanobacteria in a Midwestern drinking water supply reservoir by shotgun metagenomics analysis","docAbstract":"<p><span>While commonplace in clinical settings, DNA-based assays for identification or enumeration of drinking water pathogens and other biological contaminants remain widely unadopted by the monitoring community. In this study, shotgun metagenomics was used to identify taste-and-odor producers and toxin-producing cyanobacteria over a 2-year period in a drinking water reservoir. The sequencing data implicated several cyanobacteria, including&nbsp;</span><i><span id=\"named-content-1\" class=\"named-content genus-species\">Anabaena</span></i><span><i>&nbsp;spp</i>.,</span><i><span id=\"named-content-2\" class=\"named-content genus-species\">Microcystis</span></i><span><i>&nbsp;spp</i>., and an unresolved member of the order&nbsp;</span><i><span id=\"named-content-3\" class=\"named-content genus-species\">Oscillatoriales</span></i><span>&nbsp;as the likely principal producers of geosmin, microcystin, and 2-methylisoborneol (MIB), respectively. To further demonstrate this, quantitative PCR (qPCR) assays targeting geosmin-producing&nbsp;</span><i><span id=\"named-content-4\" class=\"named-content genus-species\">Anabaena</span></i><span>&nbsp;and microcystin-producing<i>&nbsp;</i></span><i><span id=\"named-content-5\" class=\"named-content genus-species\">Microcystis</span></i><span>&nbsp;were utilized, and these data were fitted using generalized linear models and compared with routine monitoring data, including microscopic cell counts, sonde-based physicochemical analyses, and assays of all inorganic and organic nitrogen and phosphorus forms and fractions. The qPCR assays explained the greatest variation in observed geosmin (adjusted&nbsp;</span><i>R</i><sup>2</sup><span>&nbsp;= 0.71) and microcystin (adjusted&nbsp;</span><i>R</i><sup>2</sup><span>&nbsp;= 0.84) concentrations over the study period, highlighting their potential for routine monitoring applications. The origin of the monoterpene cyclase required for MIB biosynthesis was putatively linked to a periphytic cyanobacterial mat attached to the concrete drinking water inflow structure. We conclude that shotgun metagenomics can be used to identify microbial agents involved in water quality deterioration and to guide PCR assay selection or design for routine monitoring purposes. Finally, we offer estimates of microbial diversity and metagenomic coverage of our data sets for reference to others wishing to apply shotgun metagenomics to other lacustrine systems.</span></p>","language":"English","publisher":"American Society for Microbiology","doi":"10.1128/AEM.01334-16","usgsCitation":"Otten, T., Graham, J., Harris, T.D., and Dreher, T., 2016, Elucidation of taste- and odor-producing bacteria and toxigenic cyanobacteria in a Midwestern drinking water supply reservoir by shotgun metagenomics analysis: Applied and Environmental Microbiology, v. 82, no. 17, p. 5410-5420, https://doi.org/10.1128/AEM.01334-16.","productDescription":"10 p.","startPage":"5410","endPage":"5420","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-070537","costCenters":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"links":[{"id":470846,"rank":0,"type":{"id":41,"text":"Open Access External Repository 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,{"id":70168671,"text":"ofr20161015 - 2016 - Relation between <i>Enterococcus</i> concentrations and turbidity in fresh and saline recreational waters, coastal Horry County, South Carolina, 2003–04","interactions":[],"lastModifiedDate":"2016-12-08T17:14:53","indexId":"ofr20161015","displayToPublicDate":"2016-06-24T10:45:00","publicationYear":"2016","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":"2016-1015","title":"Relation between <i>Enterococcus</i> concentrations and turbidity in fresh and saline recreational waters, coastal Horry County, South Carolina, 2003–04","docAbstract":"<p>Bacteria related to the intestinal tract of humans and other warm-blooded animals have been detected in fresh and saline surface waters used for recreational purposes in coastal areas of Horry County, South Carolina, since the early 2000s. Specifically, concentrations of the facultative anaerobic organism, <i>Enterococcus</i>, have been observed to exceed the single-sample regulatory limit of 104 colony forming units per 100 milliliters of water. Water bodies characterized by these concentrations are identified on the 303(d) list for impaired water in South Carolina; moreover, because current analytical methods used to monitor <i>Enterococcus</i> concentrations take up to 1 day for results to become available, water-quality advisories are not reflective of the actual health risk.</p>\n<p>To determine if <i>Enterococcus</i> concentrations in surface water could be assessed in a more rapid manner, an investigation was completed between 2003 and 2004 in the study area of coastal Horry County, South Carolina. The study was designed to assess the relation between <i>Enterococcus</i> concentrations and turbidity, which, unlike <i>Enterococcus</i> concentrations, can be measured continuously by using a multiparameter water-quality sensor and results reported in real time. In 2003, three water-quality data collection stations that included a multiparameter water-quality sensor that measured turbidity were located in three representative surface-water basins in coastal Horry County, South Carolina. All these locations had previous reports of high <i>Enterococcus</i> concentrations. At each station, the water-quality sensor was placed in the water column and continuously measured turbidity, pH, specific conductivity, dissolved oxygen, and temperature. Each water-quality data collection station also monitored instantaneous precipitation and wind speed and direction. Surface-water samples were collected at each station during events characterized by no precipitation and by some recorded precipitation using manual and automatic methods, and analyzed for <i>Enterococcus</i> concentrations. A comparison of <i>Enterococcus</i> concentrations in surface-water samples collected simultaneously using both methods indicated a positive relation, although the average percent relative difference between the methods was 46 percent.</p>\n<p>During a period of no precipitation in February 2004, no relation between turbidity and <i>Enterococcus</i> concentrations was observed for surface-water samples collected at the water-quality data collection station located in the channel that drains a freshwater swamp. In contrast, during periods of precipitation in March and August 2004 at this location, a positive relation was observed between turbidity and <i>Enterococcus</i> concentrations in surface-water samples; that is, water samples characterized by higher turbidity also contained higher&nbsp;<i>Enterococcus</i> concentrations. At the water-quality data collection station located in a channel that drains to the surf zone of the Atlantic Ocean, no relation was observed between turbidity and <i>Enterococcus</i> concentrations during periods of either no precipitation (July 2004) or precipitation (August 2004). At this location, the turbidity was inversely related to relative tide height, high turbidity was observed during low tide when freshwater flowed seaward, and low turbidity was observed during high tide when saline seawater flowed landward.</p>\n<p>The positive relation observed between turbidity and <i>Enterococcus</i> concentrations in surface water at the water-quality data collection station located in the channel that drains a freshwater swamp may be attributed to bacterial survival in the abundant channel bed sediments that characterized this more naturalized area. Surface-water bed sediments collected near each water-quality data collection station and the surf zone were incubated in static microcosms in the laboratory and analyzed for <i>Enterococcus</i> concentrations over time. <i>Enterococcus</i> concentrations continued to persist in bed sediments collected in the channel that drains the swamp even after almost 4 months of incubation. Conversely, enterococci were not observed to persist in bed sediments characterized by high specific conductance. Although it is currently (2016) unknown whether this persistence of enterococci demonstrates growth or viability, the data indicate that enterococci can exist in channel bed-sediment environments outside of a host for a long time. This observation confirms previous reports that challenge the use of <i>Enterococcus</i> concentrations as an indicator of the recent introduction of fecal-related material and the associated acute risk to other pathogens.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston VA","doi":"10.3133/ofr20161015","collaboration":"Prepared in cooperation with Horry County Stormwater Management ","usgsCitation":"Landmeyer, J.E., and Garigen, T.J., 2016, Relation between <i>Enterococcus</i> concentrations and turbidity in fresh and saline recreational waters, coastal Horry County, South Carolina, 2003–04: U.S. Geological Survey Open-File Report 2016–1015, 21 p., https://dx.doi.org/10.3133/ofr20161015.","productDescription":"Report: viii, 21  p.,  Appendixes: Tables 1-1, 1-2, 1-3","startPage":"1","endPage":"21","numberOfPages":"34","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-064657","costCenters":[{"id":13634,"text":"South Atlantic Water Science 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href=\"mailto:dc_ga@usgs.gov\">Director</a>, South Atlantic Water Science Center<br /> U.S. Geological Survey<br /> 1770 Corporate Drive, Suite 500<br /> Norcross, GA 30093<br /> (678) 924&ndash;6700<br /> <a href=\"https://www.usgs.gov/water/southatlantic/\">https://www.usgs.gov/water/southatlantic/</a></p>","tableOfContents":"<ul>\n<li>Abstract&nbsp;</li>\n<li>Introduction</li>\n<li>Study Design for Data Collection</li>\n<li>Relation Between&nbsp;<em>Enterococcus</em> Concentrations and Turbidity</li>\n<li>Surface-Water Bed Sediments as a Source of <em>Enterococcus</em>&nbsp;to Fresh and Saline Recreational Waters</li>\n<li>Summary</li>\n<li>References Cited</li>\n<li>Appendix 1</li>\n</ul>","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"publishedDate":"2016-06-24","noUsgsAuthors":false,"publicationDate":"2016-06-24","publicationStatus":"PW","scienceBaseUri":"576e4b9fe4b07657d1a3ab0b","contributors":{"authors":[{"text":"Landmeyer, James 0000-0002-5640-3816 jlandmey@usgs.gov","orcid":"https://orcid.org/0000-0002-5640-3816","contributorId":3257,"corporation":false,"usgs":true,"family":"Landmeyer","given":"James","email":"jlandmey@usgs.gov","affiliations":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"preferred":true,"id":621228,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Garigen, Thomas J.","contributorId":167149,"corporation":false,"usgs":false,"family":"Garigen","given":"Thomas","email":"","middleInitial":"J.","affiliations":[{"id":24630,"text":"Horry County Stormwater","active":true,"usgs":false}],"preferred":false,"id":621229,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70174043,"text":"70174043 - 2016 - Spatial variations in fault friction related to lithology from rupture and afterslip of the 2014 South Napa, California, earthquake","interactions":[],"lastModifiedDate":"2016-12-06T10:55:55","indexId":"70174043","displayToPublicDate":"2016-06-24T10:30:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1807,"text":"Geophysical Research Letters","active":true,"publicationSubtype":{"id":10}},"title":"Spatial variations in fault friction related to lithology from rupture and afterslip of the 2014 South Napa, California, earthquake","docAbstract":"<p>Following earthquakes, faults are often observed to continue slipping aseismically. It has been proposed that this afterslip occurs on parts of the fault with rate-strengthening friction that are stressed by the mainshock, but our understanding has been limited by a lack of immediate, high-resolution observations. Here we show that the behavior of afterslip following the 2014 South Napa earthquake varied over distances of only a few kilometers. This variability cannot be explained by coseismic stress changes alone. We present daily positions from continuous and survey GPS sites that we re-measured within 12 hours of the mainshock, and surface displacements from the new Sentinel-1 radar mission. This unique geodetic data set constrains the distribution and evolution of coseismic and postseismic fault slip with exceptional resolution in space and time. We suggest that the observed heterogeneity in behavior is caused by lithological controls on the frictional properties of the fault plane.</p>","language":"English","publisher":"American Geophysical Union","doi":"10.1002/2016GL069428","usgsCitation":"Floyd, M., Walters, R., Elliot, J., Funning, G.J., Svarc, J.L., Murray, J.R., Andy Hooper, Larsen, Y., Marinkovic, P., Bürgmann, R., Johanson, I.A., and Tim Wright, 2016, Spatial variations in fault friction related to lithology from rupture and afterslip of the 2014 South Napa, California, earthquake: Geophysical Research Letters, v. 43, no. 13, p. 6808-6816, https://doi.org/10.1002/2016GL069428.","productDescription":"9 p.","startPage":"6808","endPage":"6816","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-075670","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":470847,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/2016gl069428","text":"Publisher Index Page"},{"id":324355,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","city":"San Francisco","otherGeospatial":"South Napa","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -122.83538818359375,\n              37.63815995799935\n            ],\n            [\n              -122.83538818359375,\n              38.34596449365382\n            ],\n            [\n              -121.87683105468749,\n              38.34596449365382\n            ],\n            [\n              -121.87683105468749,\n              37.63815995799935\n            ],\n            [\n              -122.83538818359375,\n              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John","contributorId":172417,"corporation":false,"usgs":false,"family":"Elliot","given":"John","email":"","affiliations":[{"id":25447,"text":"University of Oxford","active":true,"usgs":false}],"preferred":false,"id":640668,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Funning, Gareth J. 0000-0002-8247-0545","orcid":"https://orcid.org/0000-0002-8247-0545","contributorId":172418,"corporation":false,"usgs":false,"family":"Funning","given":"Gareth","email":"","middleInitial":"J.","affiliations":[{"id":6984,"text":"UC Riverside","active":true,"usgs":false}],"preferred":false,"id":640669,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Svarc, Jerry L. 0000-0002-2802-4528 jsvarc@usgs.gov","orcid":"https://orcid.org/0000-0002-2802-4528","contributorId":2413,"corporation":false,"usgs":true,"family":"Svarc","given":"Jerry","email":"jsvarc@usgs.gov","middleInitial":"L.","affiliations":[{"id":237,"text":"Earthquake Science 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Informasjonteknologi","active":true,"usgs":false}],"preferred":false,"id":640672,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Marinkovic, Petar","contributorId":172421,"corporation":false,"usgs":false,"family":"Marinkovic","given":"Petar","email":"","affiliations":[{"id":27036,"text":"PPO.labs, Den Haag, Netherlands","active":true,"usgs":false}],"preferred":false,"id":640673,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Bürgmann, Roland","contributorId":172422,"corporation":false,"usgs":false,"family":"Bürgmann","given":"Roland","affiliations":[{"id":6609,"text":"UC Berkeley","active":true,"usgs":false}],"preferred":false,"id":640674,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Johanson, Ingrid A. 0000-0002-6049-2225 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,{"id":70174050,"text":"fs20163042 - 2016 - Assessing wildlife benefits and carbon storage from restored and natural coastal marshes in the Nisqually River Delta: Determining marsh net ecosystem carbon balance","interactions":[],"lastModifiedDate":"2016-07-07T14:50:33","indexId":"fs20163042","displayToPublicDate":"2016-06-24T00:00:00","publicationYear":"2016","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":"2016-3042","title":"Assessing wildlife benefits and carbon storage from restored and natural coastal marshes in the Nisqually River Delta: Determining marsh net ecosystem carbon balance","docAbstract":"<p>Working in partnership since 1996, the U.S. Fish and Wildlife Service and the Nisqually Indian Tribe have restored 902 acres of tidally influenced coastal marsh in the Nisqually River Delta (NRD), making it the largest estuary-restoration project in the Pacific Northwest to date. Marsh restoration increases the capacity of the estuary to support a diversity of wildlife species. Restoration also increases carbon (C) production of marsh plant communities that support food webs for wildlife and can help mitigate climate change through long-term C storage in marsh soils.</p><p>In 2015, an interdisciplinary team of U.S. Geological Survey (USGS) researchers began to study the benefits of carbon for wetland wildlife and storage in the NRD. Our primary goals are (1) to identify the relative importance of the different carbon sources that support juvenile chinook (<i>Oncorhynchus tshawytscha</i>) food webs and contribute to current and historic peat formation, (2) to determine the net ecosystem carbon balance (NECB) in a reference marsh and a restoration marsh site, and (3) to model the sustainability of the reference and restoration marshes under projected sea-level rise conditions along with historical vegetation change. In this fact sheet, we focus on the main C sources and exchanges to determine NECB, including carbon dioxide (CO<sup>2</sup>) uptake through plant photosynthesis, the loss of CO<sup>2 </sup>through plant and soil respiration, emissions of methane (CH<sup>4</sup>), and the lateral movement or leaching loss of C in tidal waters.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20163042","collaboration":"Prepared in cooperation with the U.S.G.S. Land Carbon Program and the U.S. Fish and Wildlife Service","usgsCitation":"Anderson, Frank, 2016, Assessing wildlife benefits and carbon from restored and natural coastal marshes in the Nisqually River delta: Determining marsh net ecosystem carbon balance: U.S. Geological Survey Fact Sheet 2016-3042, 2 p., https://dx.doi.org/10.3133/fs20163042.","productDescription":"2 p.","numberOfPages":"2","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-065411","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":324375,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2016/3042/coverthb.jpg"},{"id":324376,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2016/3042/fs20163042.pdf","text":"Report","size":"898 KB","linkFileType":{"id":1,"text":"pdf"},"description":"FS 2016-3042"}],"country":"United States","state":"Washington","otherGeospatial":"Nisqually River Delta","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -122.73977279663085,\n              47.066497210333836\n            ],\n            [\n              -122.73977279663085,\n              47.1214245689578\n            ],\n            [\n              -122.66733169555663,\n              47.1214245689578\n            ],\n            [\n              -122.66733169555663,\n              47.066497210333836\n            ],\n            [\n              -122.73977279663085,\n              47.066497210333836\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p><a href=\"mailto:dc_ca@usgs.gov\" target=\"_blank\" data-mce-href=\"mailto:dc_ca@usgs.gov\">Director</a>, California Water Science Center<br>U.S. Geological Survey<br>6000 J Street, Placer Hall<br>Sacramento, California 95819<br><a href=\"http://ca.water.usgs.gov/\" target=\"_blank\" data-mce-href=\"http://ca.water.usgs.gov/\">http://ca.water.usgs.gov</a></p>","tableOfContents":"<ul>\n<li>Restoring and Preserving Coastal Marshes Could Help Reduce Atmospheric Carbon Concentrations</li>\n<li>How Do You Measure Carbon Uptake in Tidal Marshes?</li>\n</ul>","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"publishedDate":"2016-06-24","noUsgsAuthors":false,"publicationDate":"2016-06-24","publicationStatus":"PW","scienceBaseUri":"576e4b9de4b07657d1a3ab05","contributors":{"authors":[{"text":"Anderson, Frank 0000-0002-1418-4678 fanders@usgs.gov","orcid":"https://orcid.org/0000-0002-1418-4678","contributorId":167488,"corporation":false,"usgs":true,"family":"Anderson","given":"Frank","email":"fanders@usgs.gov","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":640697,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bergamaschi, Brian A. 0000-0002-9610-5581 bbergama@usgs.gov","orcid":"https://orcid.org/0000-0002-9610-5581","contributorId":140776,"corporation":false,"usgs":true,"family":"Bergamaschi","given":"Brian","email":"bbergama@usgs.gov","middleInitial":"A.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":640698,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Windham-Myers, Lisamarie 0000-0003-0281-9581 lwindham-myers@usgs.gov","orcid":"https://orcid.org/0000-0003-0281-9581","contributorId":2449,"corporation":false,"usgs":true,"family":"Windham-Myers","given":"Lisamarie","email":"lwindham-myers@usgs.gov","affiliations":[{"id":37277,"text":"WMA - 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,{"id":70178747,"text":"70178747 - 2016 - Changes in habitat use and distribution of mouflon in the Kahuku Unit of Hawai‘i Volcanoes National Park","interactions":[],"lastModifiedDate":"2018-01-04T12:58:54","indexId":"70178747","displayToPublicDate":"2016-06-24T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2984,"text":"Pacific Conservation Biology","active":true,"publicationSubtype":{"id":10}},"title":"Changes in habitat use and distribution of mouflon in the Kahuku Unit of Hawai‘i Volcanoes National Park","docAbstract":"<p>European mouflon sheep (<i>Ovis gmelini musimon</i>) were introduced to Kahuku Ranch on Hawai‘i Island in 1968 and 1974 for trophy hunting and have been detrimental to the native ecosystem by trampling, bark stripping, and browsing vegetation. In 2003, Hawai‘i Volcanoes National Park acquired Kahuku Ranch and managers began removing mouflon. The objective of this project was to determine whether hunting has changed the distribution of mouflon in Kahuku, to better understand mouflon behaviour and to expedite eradication efforts. Locations from hunting and GPS telemetry data during 2007–14 were used to determine the effect of hunting on mouflon distribution by examining distance to roads and habitat use. Mouflon seemed to avoid roads after hunting pressure increased and their distribution within vegetation types changed over time. Mouflon without hunting pressure were detected in native shrub habitat in 68% of all observations. Hunted mouflon were encountered less in native shrub habitat and more in other habitats including open forest, closed forest, and areas with no vegetation. These changes suggest that hunting has influenced the distribution of mouflon over time away from native shrub and into other vegetation types where they may be more difficult to control.</p>","language":"English","publisher":"CSIRO Publishing","doi":"10.1071/PC15039","usgsCitation":"Palupe, B., Leopold, C.R., Hess, S.C., Faford, J., Pacheco, D., and Judge, S.W., 2016, Changes in habitat use and distribution of mouflon in the Kahuku Unit of Hawai‘i Volcanoes National Park: Pacific Conservation Biology, v. 22, no. 4, p. 308-311, https://doi.org/10.1071/PC15039.","productDescription":"4 p.","startPage":"308","endPage":"311","ipdsId":"IP-075091","costCenters":[{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true}],"links":[{"id":331660,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Hawai‘i","otherGeospatial":"Hawai‘i Volcanoes National Park","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -155.52108764648438,\n              19.129599439736836\n            ],\n            [\n              -155.52108764648438,\n              19.476950206488414\n            ],\n            [\n              -154.97726440429688,\n              19.476950206488414\n            ],\n            [\n              -154.97726440429688,\n              19.129599439736836\n            ],\n            [\n              -155.52108764648438,\n              19.129599439736836\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"22","issue":"4","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58492df3e4b06d80b7b093a8","contributors":{"authors":[{"text":"Palupe, Bronson","contributorId":177210,"corporation":false,"usgs":false,"family":"Palupe","given":"Bronson","email":"","affiliations":[],"preferred":false,"id":655074,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Leopold, Christina R.","contributorId":46817,"corporation":false,"usgs":true,"family":"Leopold","given":"Christina","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":655075,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hess, Steven C. 0000-0001-6403-9922 shess@usgs.gov","orcid":"https://orcid.org/0000-0001-6403-9922","contributorId":3156,"corporation":false,"usgs":true,"family":"Hess","given":"Steven","email":"shess@usgs.gov","middleInitial":"C.","affiliations":[{"id":5049,"text":"Pacific Islands Ecosys Research Center","active":true,"usgs":true}],"preferred":false,"id":655076,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Faford, Jonathan K.","contributorId":177221,"corporation":false,"usgs":false,"family":"Faford","given":"Jonathan K.","affiliations":[],"preferred":false,"id":655077,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Pacheco, Dexter","contributorId":156310,"corporation":false,"usgs":false,"family":"Pacheco","given":"Dexter","email":"","affiliations":[{"id":20307,"text":"US National Park Service","active":true,"usgs":false}],"preferred":false,"id":655078,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Judge, Seth W.","contributorId":8718,"corporation":false,"usgs":true,"family":"Judge","given":"Seth","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":655079,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70176233,"text":"70176233 - 2016 - Microbial antimony biogeochemistry: Enzymes, regulation, and related metabolic pathways","interactions":[],"lastModifiedDate":"2016-09-04T17:37:16","indexId":"70176233","displayToPublicDate":"2016-06-24T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":850,"text":"Applied and Environmental Microbiology","active":true,"publicationSubtype":{"id":10}},"title":"Microbial antimony biogeochemistry: Enzymes, regulation, and related metabolic pathways","docAbstract":"<p>Antimony (Sb) is a toxic metalloid that occurs widely at trace concentrations in soil, aquatic systems, and the atmosphere. Nowadays, with the development of its new industrial applications and the corresponding expansion of antimony mining activities, the phenomenon of antimony pollution has become an increasingly serious concern. In recent years, research interest in Sb has been growing and reflects a fundamental scientific concern regarding Sb in the environment. In this review, we summarize the recent research on bacterial antimony transformations, especially those regarding antimony uptake, efflux, antimonite oxidation, and antimonate reduction. We conclude that our current understanding of antimony biochemistry and biogeochemistry is roughly equivalent to where that of arsenic was some 20 years ago. This portends the possibility of future discoveries with regard to the ability of microorganisms to conserve energy for their growth from antimony redox reactions and the isolation of new species of &ldquo;antimonotrophs.&rdquo;</p>","language":"English","publisher":"American Society for Microbiology","doi":"10.1128/AEM.01375-16","usgsCitation":"Li, J., Wang, Q., Oremland, R.S., Kulp, T.R., Rensing, C., and Wang, G., 2016, Microbial antimony biogeochemistry: Enzymes, regulation, and related metabolic pathways: Applied and Environmental Microbiology, v. 82, no. 18, p. 5482-5495, https://doi.org/10.1128/AEM.01375-16.","productDescription":"14 p.","startPage":"5482","endPage":"5495","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-074954","costCenters":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"links":[{"id":470849,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1128/aem.01375-16","text":"External Repository"},{"id":328237,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"82","issue":"18","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57cd45ace4b0f2f0cec4cb53","contributors":{"authors":[{"text":"Li, Jingxin","contributorId":174315,"corporation":false,"usgs":false,"family":"Li","given":"Jingxin","email":"","affiliations":[{"id":27411,"text":"State Key Laboratory of Agricultural Microbiology, College of Life Science and Technology, Huazhong Agricultural University, Wuhan 430070, China","active":true,"usgs":false}],"preferred":false,"id":647978,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wang, Qian","contributorId":174318,"corporation":false,"usgs":false,"family":"Wang","given":"Qian","email":"","affiliations":[{"id":27413,"text":"1 State Key Laboratory of Agricultural Microbiology, College of Life Science and Technology, Huazhong Agricultural University, Wuhan 430070, China","active":true,"usgs":false}],"preferred":false,"id":647982,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Oremland, Ronald S. 0000-0001-7382-0147 roremlan@usgs.gov","orcid":"https://orcid.org/0000-0001-7382-0147","contributorId":931,"corporation":false,"usgs":true,"family":"Oremland","given":"Ronald","email":"roremlan@usgs.gov","middleInitial":"S.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":647977,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kulp, Thomas R.","contributorId":15948,"corporation":false,"usgs":true,"family":"Kulp","given":"Thomas","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":647979,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Rensing, Christopher","contributorId":174316,"corporation":false,"usgs":false,"family":"Rensing","given":"Christopher","email":"","affiliations":[{"id":27412,"text":"Institute of Urban Environment, Chinese Academy of Sciences, Xiamen, China","active":true,"usgs":false}],"preferred":false,"id":647980,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Wang, Gejiao","contributorId":174317,"corporation":false,"usgs":false,"family":"Wang","given":"Gejiao","email":"","affiliations":[{"id":27411,"text":"State Key Laboratory of Agricultural Microbiology, College of Life Science and Technology, Huazhong Agricultural University, Wuhan 430070, China","active":true,"usgs":false}],"preferred":false,"id":647981,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
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