The infection status of harbor seals Phoca vitulina in central California, USA, was evaluated through broad surveillance for pathogens in stranded and wild-caught animals from 2001 to 2008, with most samples collected in 2007 and 2008. Stranded animals from Mendocino County to San Luis Obispo County were sampled at a rehabilitation facility: The Marine Mammal Center (TMMC, n = 175); wild-caught animals were sampled at 2 locations: San Francisco Bay (SF, n = 78) and Tomales Bay (TB, n = 97), that differed in degree of urbanization. Low prevalences of Salmonella, Campylobacter, Giardia, and Cryptosporidium were detected in the feces of stranded and wild-caught seals. Clostridium perfringens and Escherichia coli were more prevalent in the feces of stranded (58% [78 out of 135] and 76% [102 out of 135]) than wild-caught (42% [45 out of 106] and 66% [68 out of 106]) seals, whereas Vibrio spp. were 16 times more likely to be cultured from the feces of seals from SF than TB or TMMC (p < 0.005). Brucella DNA was detected in 3.4% of dead stranded harbor seals (2 out of 58). Type A influenza was isolated from feces of 1 out of 96 wild-caught seals. Exposure to Toxoplasma gondii, Sarcocystis neurona, and type A influenza was only detected in the wild-caught harbor seals (post-weaning age classes), whereas antibody titers to Leptospira spp. were detected in stranded and wild-caught seals. No stranded (n = 109) or wild-caught (n = 217) harbor seals had antibodies to phocine distemper virus, although a single low titer to canine distemper virus was detected. These results highlight the role of harbor seals as sentinel species for zoonotic and terrestrial pathogens in the marine environment.
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Poisoning also has been sporadically suspected and, less often, documented in marine wildlife, often in association with an outbreak in humans. Kittlitz's Murrelet (Brachyramphus brevirostris) is a small, rare seabird of the Northern Pacific with a declining population. From 2008 to 2012, as part of a breeding ecology study, multiple Kittlitz's Murrelet nests on Kodiak Island, Alaska, were monitored by remote cameras. During the 2011 and 2012 breeding seasons, nestlings from several sites died during mild weather conditions. Remote camera observations revealed that the nestlings died shortly after consuming sand lance (Ammodytes hexapterus), a fish species known to biomagnify saxitoxin. High levels of saxitoxin were subsequently documented in crop content in 87% of nestling carcasses. Marine bird deaths from PSP may be underreported.
","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Wildlife Diseases","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Wildlife Disease Association","doi":"10.7589/2013-11-296","usgsCitation":"Shearn-Bochsler, V.I., Lance, E., Corcoran, R., Piatt, J.F., Bodenstein, B., Frame, E., and Lawonn, J., 2014, Fatal paralytic shellfish poisoning in Kittlitz's Murrelet (Brachyramphus brevirostris) nestlings, Alaska, USA: Journal of Wildlife Diseases, v. 50, no. 4, p. 933-937, https://doi.org/10.7589/2013-11-296.","productDescription":"5 p.","startPage":"933","endPage":"937","numberOfPages":"5","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-049617","costCenters":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"links":[{"id":294904,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":294903,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.7589/2013-11-296"}],"country":"United States","state":"Alaska","otherGeospatial":"Kodiak Island","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -154.92919921875,\n 57.36801461845934\n ],\n [\n -154.62158203125,\n 57.68066002977235\n ],\n [\n -154.171142578125,\n 57.844750992891\n ],\n [\n -153.6328125,\n 58.12431960569377\n ],\n [\n -153.204345703125,\n 58.41322259056804\n ],\n [\n -152.86376953125,\n 58.642652516575964\n ],\n [\n -152.325439453125,\n 58.73400476743346\n ],\n [\n -151.962890625,\n 58.62549730245039\n ],\n [\n -151.732177734375,\n 58.34986596667874\n ],\n [\n -151.67724609374997,\n 58.12431960569377\n ],\n [\n -151.776123046875,\n 57.97315745102812\n ],\n [\n -151.776123046875,\n 57.73934950049299\n ],\n [\n -151.995849609375,\n 57.45677122453565\n ],\n [\n -152.33642578125,\n 57.249337594636835\n ],\n [\n -152.874755859375,\n 57.022794415389725\n ],\n [\n -153.643798828125,\n 56.64414704199467\n ],\n [\n -153.819580078125,\n 56.45034902929676\n ],\n [\n -154.302978515625,\n 56.35916436114856\n ],\n [\n -154.84130859375,\n 56.3409012041991\n ],\n [\n -154.97314453125,\n 56.511017504952136\n ],\n [\n -154.84130859375,\n 56.794862261400546\n ],\n [\n -154.8193359375,\n 57.11238500793404\n ],\n [\n -154.92919921875,\n 57.36801461845934\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"50","issue":"4","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"542fac89e4b092f17df61cca","contributors":{"authors":[{"text":"Shearn-Bochsler, Valerie I. 0000-0002-5590-6518 vbochsler@usgs.gov","orcid":"https://orcid.org/0000-0002-5590-6518","contributorId":3234,"corporation":false,"usgs":true,"family":"Shearn-Bochsler","given":"Valerie","email":"vbochsler@usgs.gov","middleInitial":"I.","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":502754,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lance, Ellen W.","contributorId":15946,"corporation":false,"usgs":true,"family":"Lance","given":"Ellen W.","affiliations":[],"preferred":false,"id":502756,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Corcoran, Robin","contributorId":29750,"corporation":false,"usgs":true,"family":"Corcoran","given":"Robin","email":"","affiliations":[],"preferred":false,"id":502759,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Piatt, John F. 0000-0002-4417-5748 jpiatt@usgs.gov","orcid":"https://orcid.org/0000-0002-4417-5748","contributorId":3025,"corporation":false,"usgs":true,"family":"Piatt","given":"John","email":"jpiatt@usgs.gov","middleInitial":"F.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true},{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":502760,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bodenstein, Barbara 0000-0001-7946-0103","orcid":"https://orcid.org/0000-0001-7946-0103","contributorId":8399,"corporation":false,"usgs":true,"family":"Bodenstein","given":"Barbara","affiliations":[],"preferred":false,"id":502755,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Frame, Elizabeth","contributorId":24710,"corporation":false,"usgs":true,"family":"Frame","given":"Elizabeth","affiliations":[],"preferred":false,"id":502757,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Lawonn, James","contributorId":28185,"corporation":false,"usgs":true,"family":"Lawonn","given":"James","email":"","affiliations":[],"preferred":false,"id":502758,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70128065,"text":"70128065 - 2014 - Avian influenza virus ecology in Iceland shorebirds: intercontinental reassortment and movement","interactions":[],"lastModifiedDate":"2018-01-03T13:09:01","indexId":"70128065","displayToPublicDate":"2014-10-03T09:52:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1988,"text":"Infection, Genetics and Evolution","active":true,"publicationSubtype":{"id":10}},"title":"Avian influenza virus ecology in Iceland shorebirds: intercontinental reassortment and movement","docAbstract":"Shorebirds are a primary reservoir of avian influenza viruses (AIV). We conducted surveillance studies in Iceland shorebird populations for 3 years, documenting high serological evidence of AIV exposure in shorebirds, primarily in Ruddy Turnstones (Arenaria interpres; seroprevalence = 75%). However, little evidence of virus infection was found in these shorebird populations and only two turnstone AIVs (H2N7; H5N1) were able to be phylogenetically examined. These analyses showed that viruses from Iceland shorebirds were primarily derived from Eurasian lineage viruses, yet the H2 hemagglutinin gene segment was from a North American lineage previously detected in a gull from Iceland the previous year. The H5N1 virus was determined to be low pathogenic, however the PB2 gene was closely related to the PB2 from highly pathogenic H5N1 isolates from China. Multiple lines of evidence suggest that the turnstones were infected with at least one of these AIV while in Iceland and confirm Iceland as an important location where AIV from different continents interact and reassort, creating new virus genomes. Mounting data warrant continued surveillance for AIV in wild birds in the North Atlantic, including Canada, Greenland, and the northeast USA to determine the risks of new AI viruses and their intercontinental movement in this region.
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topography and coregistered texture (color) from an unstructured set of overlapping photographs taken from varying viewpoints, overcoming many of the cost, time, and logistical limitations of Light Detection and Ranging (LiDAR) and other topographic surveying methods. This paper provides the first investigation of SfM as a tool for mapping fault zone topography in areas of sparse or low-lying vegetation. First, we present a simple, affordable SfM workflow, based on an unmanned helium balloon or motorized glider, an inexpensive camera, and semiautomated software. Second, we illustrate the system at two sites on southern California faults covered by existing airborne or terrestrial LiDAR, enabling a comparative assessment of SfM topography resolution and precision. At the first site, an ∼0.1 km2 alluvial fan on the San Andreas fault, a colored point cloud of density mostly >700 points/m2 and a 3 cm digital elevation model (DEM) and orthophoto were produced from 233 photos collected ∼50 m above ground level. When a few global positioning system ground control points are incorporated, closest point vertical distances to the much sparser (∼4 points/m2) airborne LiDAR point cloud are mostly <3 cm. The second site spans an ∼1 km section of the 1992 Landers earthquake scarp. A colored point cloud of density mostly >530 points/m2 and a 2 cm DEM and orthophoto were produced from 450 photos taken from ∼60 m above ground level. Closest point vertical distances to existing terrestrial LiDAR data of comparable density are mostly <6 cm. Each SfM survey took ∼2 h to complete and several hours to generate the scene topography and texture. SfM greatly facilitates the imaging of subtle geomorphic offsets related to past earthquakes as well as rapid response mapping or long-term monitoring of faulted landscapes.","language":"English","publisher":"Geological Society of America","doi":"10.1130/GES01017.1","usgsCitation":"Johnson, K., Nissen, E., Saripalli, S., Arrowsmith, J.R., McGarey, P., Scharer, K.M., Williams, P., and Blisniuk, K., 2014, Rapid mapping of ultrafine fault zone topography with structure from motion: Geosphere, v. 10, no. 5, p. 969-986, https://doi.org/10.1130/GES01017.1.","productDescription":"18 p.","startPage":"969","endPage":"986","numberOfPages":"18","ipdsId":"IP-053161","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":472702,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1130/ges01017.1","text":"Publisher Index Page"},{"id":294881,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -118.7841796875,\n 32.76880048488168\n ],\n [\n -114.43359375,\n 32.76880048488168\n ],\n [\n -114.43359375,\n 35.737595151747826\n ],\n [\n -118.7841796875,\n 35.737595151747826\n ],\n [\n -118.7841796875,\n 32.76880048488168\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"10","issue":"5","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"542e5b0ce4b092f17df5a6db","contributors":{"authors":[{"text":"Johnson, Kendra","contributorId":94615,"corporation":false,"usgs":true,"family":"Johnson","given":"Kendra","email":"","affiliations":[],"preferred":false,"id":502556,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Nissen, Edwin","contributorId":8777,"corporation":false,"usgs":true,"family":"Nissen","given":"Edwin","affiliations":[],"preferred":false,"id":502550,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Saripalli, Srikanth","contributorId":53314,"corporation":false,"usgs":true,"family":"Saripalli","given":"Srikanth","email":"","affiliations":[],"preferred":false,"id":502554,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Arrowsmith, J. 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Precocial birds (e.g., Galliformes and Anseriformes) are typically facultative nest parasites of both their own and other species (Lyon and Eadie 1991). This behavior increases a female’s reproductive success when she parasitizes other nests while simultaneously raising her own offspring. Both interspecific and conspecific nest parasitism have been well documented in several families of the order Galliformes, particularly the Phasianidae (Lyon and Eadie 1991, Geffen and Yom-Tov 2001, Krakauer and Kimball 2009). The Chukar (Alectoris chukar) has been widely introduced as a game bird to western North America from Eurasia and is now well established within the Great Basin from northeastern California east to Utah and north to Idaho and Oregon (Christensen 1996). Over much of this range the Chukar occurs with other phasianids, including the native Greater Sage-Grouse (Centrocercus urophasianus), within sagebrush (Artemisia spp.) steppe (Christensen 1996, Schroeder et al. 1999, Connelly et al. 2000). Chukar typically exploit a broader range of habitats than do sage-grouse, but both species use the same species of sagebrush and other shrubs for nesting cover (Christensen 1996, Schroeder et al. 1999). Chukar are known to parasitize nests of other individuals of their own species (Geffen and Yom-Tov 2001), but we are unaware of reported evidence that Chukar may parasitize nests of sage-grouse. Here we describe a case of a Chukar parasitizing a sage-grouse nest in the sagebrush steppe of western Nevada.
","language":"English","publisher":"Western Field Ornithologists","usgsCitation":"Fearon, M.L., and Coates, P.S., 2014, Interspecific nest parasitism by chukar on greater sage-grouse: Western Birds, v. 45, no. 3, p. 224-227.","productDescription":"4 p.","startPage":"224","endPage":"227","ipdsId":"IP-052116","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":294873,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":328987,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://www.westernfieldornithologists.org/archive/V45/journal-45-3.php"}],"volume":"45","issue":"3","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"542e5b0be4b092f17df5a6c0","contributors":{"authors":[{"text":"Fearon, Michelle L. mfearon@usgs.gov","contributorId":5833,"corporation":false,"usgs":true,"family":"Fearon","given":"Michelle","email":"mfearon@usgs.gov","middleInitial":"L.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":502700,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Coates, Peter S. 0000-0003-2672-9994 pcoates@usgs.gov","orcid":"https://orcid.org/0000-0003-2672-9994","contributorId":3263,"corporation":false,"usgs":true,"family":"Coates","given":"Peter","email":"pcoates@usgs.gov","middleInitial":"S.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":502699,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70127898,"text":"70127898 - 2014 - Modelling methane emissions from natural wetlands by development and application of the TRIPLEX-GHG model","interactions":[],"lastModifiedDate":"2014-10-02T13:53:09","indexId":"70127898","displayToPublicDate":"2014-10-02T13:47:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1818,"text":"Geoscientific Model Development","active":true,"publicationSubtype":{"id":10}},"title":"Modelling methane emissions from natural wetlands by development and application of the TRIPLEX-GHG model","docAbstract":"A new process-based model TRIPLEX-GHG was developed based on the Integrated Biosphere Simulator (IBIS), coupled with a new methane (CH4) biogeochemistry module (incorporating CH4 production, oxidation, and transportation processes) and a water table module to investigate CH4 emission processes and dynamics that occur in natural wetlands. Sensitivity analysis indicates that the most sensitive parameters to evaluate CH4 emission processes from wetlands are r (defined as the CH4 to CO2 release ratio) and Q10 in the CH4 production process. These two parameters were subsequently calibrated to data obtained from 19 sites collected from approximately 35 studies across different wetlands globally. Being heterogeneously spatially distributed, r ranged from 0.1 to 0.7 with a mean value of 0.23, and the Q10 for CH4 production ranged from 1.6 to 4.5 with a mean value of 2.48. The model performed well when simulating magnitude and capturing temporal patterns in CH4 emissions from natural wetlands. Results suggest that the model is able to be applied to different wetlands under varying conditions and is also applicable for global-scale simulations.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Geoscientific Model Development","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Copernicus Publications","doi":"10.5194/gmd-7-981-2014","usgsCitation":"Zhu, Q., Liu, J., Peng, C., Chen, H., Fang, X., Jiang, H., Yang, G., Zhu, D., Wang, W., and Zhou, X., 2014, Modelling methane emissions from natural wetlands by development and application of the TRIPLEX-GHG model: Geoscientific Model Development, v. 7, p. 981-999, https://doi.org/10.5194/gmd-7-981-2014.","productDescription":"19 p.","startPage":"981","endPage":"999","numberOfPages":"19","ipdsId":"IP-060184","costCenters":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"links":[{"id":472703,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.5194/gmd-7-981-2014","text":"Publisher Index Page"},{"id":294858,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":294802,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.5194/gmd-7-981-2014"}],"volume":"7","noUsgsAuthors":false,"publicationDate":"2014-05-26","publicationStatus":"PW","scienceBaseUri":"542e5b0be4b092f17df5a6c4","contributors":{"authors":[{"text":"Zhu, Qing","contributorId":78664,"corporation":false,"usgs":true,"family":"Zhu","given":"Qing","email":"","affiliations":[],"preferred":false,"id":502641,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Liu, Jinxun 0000-0003-0561-8988 jxliu@usgs.gov","orcid":"https://orcid.org/0000-0003-0561-8988","contributorId":3414,"corporation":false,"usgs":true,"family":"Liu","given":"Jinxun","email":"jxliu@usgs.gov","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":502634,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Peng, C.","contributorId":44092,"corporation":false,"usgs":true,"family":"Peng","given":"C.","affiliations":[],"preferred":false,"id":502638,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Chen, H.","contributorId":58582,"corporation":false,"usgs":true,"family":"Chen","given":"H.","affiliations":[],"preferred":false,"id":502639,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Fang, X.","contributorId":21087,"corporation":false,"usgs":true,"family":"Fang","given":"X.","affiliations":[],"preferred":false,"id":502635,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Jiang, H.","contributorId":25488,"corporation":false,"usgs":true,"family":"Jiang","given":"H.","email":"","affiliations":[],"preferred":false,"id":502636,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Yang, G.","contributorId":33642,"corporation":false,"usgs":true,"family":"Yang","given":"G.","email":"","affiliations":[],"preferred":false,"id":502637,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Zhu, D.","contributorId":87469,"corporation":false,"usgs":true,"family":"Zhu","given":"D.","email":"","affiliations":[],"preferred":false,"id":502643,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Wang, W.","contributorId":81425,"corporation":false,"usgs":true,"family":"Wang","given":"W.","affiliations":[],"preferred":false,"id":502642,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Zhou, X.","contributorId":73937,"corporation":false,"usgs":true,"family":"Zhou","given":"X.","affiliations":[],"preferred":false,"id":502640,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}} ,{"id":70127801,"text":"70127801 - 2014 - Error propagation in energetic carrying capacity models","interactions":[],"lastModifiedDate":"2018-01-04T12:50:25","indexId":"70127801","displayToPublicDate":"2014-10-02T13:34:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2231,"text":"Journal of Conservation Planning","active":true,"publicationSubtype":{"id":10}},"title":"Error propagation in energetic carrying capacity models","docAbstract":"Conservation objectives derived from carrying capacity models have been used to inform management of \nlandscapes for wildlife populations. Energetic carrying capacity models are particularly useful in conservation planning \nfor wildlife; these models use estimates of food abundance and energetic requirements of wildlife to target conservation \nactions. We provide a general method for incorporating a foraging threshold (i.e., density of food at which foraging \nbecomes unprofitable) when estimating food availability with energetic carrying capacity models. We use a hypothetical \nexample to describe how past methods for adjustment of foraging thresholds biased results of energetic carrying capacity \nmodels in certain instances. Adjusting foraging thresholds at the patch level of the species of interest provides results \nconsistent with ecological foraging theory. Presentation of two case studies suggest variation in bias which, in certain \ninstances, created large errors in conservation objectives and may have led to inefficient allocation of limited resources. \nOur results also illustrate how small errors or biases in application of input parameters, when extrapolated to large spatial \nextents, propagate errors in conservation planning and can have negative implications for target populations.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Conservation Planning","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"University of Florida Department of Urban and Regional Planning, The Conservation Fund","usgsCitation":"Pearse, A.T., and Stafford, J.D., 2014, Error propagation in energetic carrying capacity models: Journal of Conservation Planning, v. 10, p. 17-24.","productDescription":"8 p.","startPage":"17","endPage":"24","ipdsId":"IP-039972","costCenters":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":294855,"type":{"id":15,"text":"Index Page"},"url":"https://www.journalconsplanning.org/2014/index.html"},{"id":294856,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"10","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"542e5b08e4b092f17df5a6a9","contributors":{"authors":[{"text":"Pearse, Aaron T. 0000-0002-6137-1556 apearse@usgs.gov","orcid":"https://orcid.org/0000-0002-6137-1556","contributorId":1772,"corporation":false,"usgs":true,"family":"Pearse","given":"Aaron","email":"apearse@usgs.gov","middleInitial":"T.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":502543,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stafford, Joshua D. jstafford@usgs.gov","contributorId":4267,"corporation":false,"usgs":true,"family":"Stafford","given":"Joshua","email":"jstafford@usgs.gov","middleInitial":"D.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":502544,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70120244,"text":"sir20145152 - 2014 - Hydrogeologic framework and occurrence, movement, and chemical characterization of groundwater in Dixie Valley, west-central Nevada","interactions":[],"lastModifiedDate":"2014-10-02T13:04:53","indexId":"sir20145152","displayToPublicDate":"2014-10-02T12:58:00","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2014-5152","title":"Hydrogeologic framework and occurrence, movement, and chemical characterization of groundwater in Dixie Valley, west-central Nevada","docAbstract":"Dixie Valley, a primarily undeveloped basin in west-central Nevada, is being considered for groundwater exportation. Proposed pumping would occur from the basin-fill aquifer. In response to proposed exportation, the U.S. Geological Survey, in cooperation with the Bureau of Reclamation and Churchill County, conducted a study to improve the understanding of groundwater resources in Dixie Valley. The objective of this report is to characterize the hydrogeologic framework, the occurrence and movement of groundwater, the general water quality of the basin-fill aquifer, and the potential mixing between basin-fill and geothermal aquifers in Dixie Valley. Various types of geologic, hydrologic, and geochemical data were compiled from previous studies and collected in support of this study. Hydrogeologic units in Dixie Valley were defined to characterize rocks and sediments with similar lithologies and hydraulic properties influencing groundwater flow. Hydraulic properties of the basin-fill deposits were characterized by transmissivity estimated from aquifer tests and specific-capacity tests. Groundwater-level measurements and hydrogeologic-unit data were combined to create a potentiometric surface map and to characterize groundwater occurrence and movement. Subsurface inflow from adjacent valleys into Dixie Valley through the basin-fill aquifer was evaluated using hydraulic gradients and Darcy flux computations. The chemical signature and groundwater quality of the Dixie Valley basin-fill aquifer, and potential mixing between basin-fill and geothermal aquifers, were evaluated using chemical data collected from wells and springs during the current study and from previous investigations.
\nDixie Valley is the terminus of the Dixie Valley flow system, which includes Pleasant, Jersey, Fairview, Stingaree, Cowkick, and Eastgate Valleys. The freshwater aquifer in the study area is composed of unconsolidated basin-fill deposits of Quaternary age. The basin-fill hydrogeologic unit can be several orders of magnitude more transmissive than surrounding and underlying consolidated rocks and Dixie Valley playa deposits. Transmissivity estimates in the basin fill throughout Dixie Valley ranged from 30 to 45,500 feet squared per day; however, a single transmissivity value of 0.1 foot squared per day was estimated for playa deposits.
\nGroundwater generally flows from the mountain range uplands toward the central valley lowlands and eventually discharges near the playa edge. Potentiometric contours east and west of the playa indicate that groundwater is moving eastward from the Stillwater Range and westward from the Clan Alpine Mountains toward the playa. Similarly, groundwater flows from the southern and northern basin boundaries toward the basin center. Subsurface groundwater flow likely enters Dixie Valley from Fairview and Stingaree Valleys in the south and from Jersey and Pleasant Valleys in the north, but groundwater connections through basin-fill deposits were present only across the Fairview and Jersey Valley divides. Annual subsurface inflow from Fairview and Jersey Valleys ranges from 700 to 1,300 acre-feet per year and from 1,800 to 2,300 acre-feet per year, respectively. Groundwater flow between Dixie, Stingaree, and Pleasant Valleys could occur through less transmissive consolidated rocks, but only flow through basin fill was estimated in this study.
\nGroundwater in the playa is distinct from the freshwater, basin-fill aquifer. Groundwater mixing between basin-fill and playa groundwater systems is physically limited by transmissivity contrasts of about four orders of magnitude. Total dissolved solids in playa deposit groundwater are nearly 440 times greater than total dissolved solids in the basin-fill groundwater. These distinctive physical and chemical flow restrictions indicate that groundwater interaction between the basin fill and playa sediments was minimal during this study period (water years 2009–11).
\nGroundwater in Dixie Valley generally can be characterized as a sodium bicarbonate type, with greater proportions of chloride north of the Dixie Valley playa, and greater proportions of sulfate south of the playa. Analysis of major ion water chemistry data sampled during the study period indicates that groundwater north and south of Township 22N differ chemically. Dixie Valley groundwater quality is marginal when compared with national primary and secondary drinking-water standards. Arsenic and fluoride concentrations exceed primary drinking water standards, and total dissolved solids and manganese concentrations exceed secondary drinking water standards in samples collected during this study. High concentrations of boron and tungsten also were observed.
\nChemical comparisons between basin-fill and geothermal aquifer water indicate that most basin-fill groundwater sampled could contain 10–20 percent geothermal water. Geothermal indicators such as high temperature, lithium, boron, chloride, and silica suggest that mixing occurs in many wells that tap the basin-fill aquifer, particularly on the north, south, and west sides of the basin. Magnesium-lithium geothermometers indicate that some basin-fill aquifer water sampled for the current study likely originates from water that was heated above background mountain-block recharge temperatures (between 3 and 15 degrees Celsius), highlighting the influence of mixing with warm water that was possibly derived from geothermal sources.
","language":"English","publisher":"U. S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20145152","collaboration":"Prepared in cooperation with the Bureau of Reclamation","usgsCitation":"Huntington, J.M., Garcia, C.A., and Rosen, M.R., 2014, Hydrogeologic framework and occurrence, movement, and chemical characterization of groundwater in Dixie Valley, west-central Nevada: U.S. Geological Survey Scientific Investigations Report 2014-5152, Report: vii, 59 p.; 1 Plate 24 x 36 inches; 1 Appendix, https://doi.org/10.3133/sir20145152.","productDescription":"Report: vii, 59 p.; 1 Plate 24 x 36 inches; 1 Appendix","numberOfPages":"72","onlineOnly":"Y","ipdsId":"IP-034768","costCenters":[{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true}],"links":[{"id":294838,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20145152.jpg"},{"id":294827,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2014/5152/"},{"id":294829,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2014/5152/pdf/sir2014-5152.pdf"},{"id":294832,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sir/2014/5152/pdf/sir2014-5152_plate01.pdf"},{"id":294834,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2014/5152/downloads/sir2014-5152_appendixA.xlsx"}],"scale":"24000","projection":"Universal Transverse Mercator projection","datum":"North American Datum of 1983","country":"United States","state":"Nevada","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"542e5b0ae4b092f17df5a6ba","contributors":{"authors":[{"text":"Huntington, Jena M. 0000-0002-9291-1404 jmhunt@usgs.gov","orcid":"https://orcid.org/0000-0002-9291-1404","contributorId":2294,"corporation":false,"usgs":true,"family":"Huntington","given":"Jena","email":"jmhunt@usgs.gov","middleInitial":"M.","affiliations":[{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true}],"preferred":true,"id":498047,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Garcia, C. Amanda 0000-0003-3776-3565 cgarcia@usgs.gov","orcid":"https://orcid.org/0000-0003-3776-3565","contributorId":1899,"corporation":false,"usgs":true,"family":"Garcia","given":"C.","email":"cgarcia@usgs.gov","middleInitial":"Amanda","affiliations":[{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true},{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":true,"id":498046,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rosen, Michael R. 0000-0003-3991-0522 mrosen@usgs.gov","orcid":"https://orcid.org/0000-0003-3991-0522","contributorId":495,"corporation":false,"usgs":true,"family":"Rosen","given":"Michael","email":"mrosen@usgs.gov","middleInitial":"R.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":498045,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70116634,"text":"pp1805 - 2014 - Groundwater discharge by evapotranspiration, Dixie Valley, west-central Nevada, March 2009-September 2011","interactions":[],"lastModifiedDate":"2022-05-31T20:41:43.010389","indexId":"pp1805","displayToPublicDate":"2014-10-02T12:56:00","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":331,"text":"Professional Paper","code":"PP","onlineIssn":"2330-7102","printIssn":"1044-9612","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"1805","title":"Groundwater discharge by evapotranspiration, Dixie Valley, west-central Nevada, March 2009-September 2011","docAbstract":"With increasing population growth and land-use change, urban communities in the desert Southwest are progressively looking toward remote basins to supplement existing water supplies. Pending applications by Churchill County for groundwater appropriations from Dixie Valley, Nevada, a primarily undeveloped basin east of the Carson Desert, have prompted a reevaluation of the quantity of naturally discharging groundwater. The objective of this study was to develop a revised, independent estimate of groundwater discharge by evapotranspiration (ETg) from Dixie Valley using a combination of eddy-covariance evapotranspiration (ET) measurements and multispectral satellite imagery. Mean annual ETg was estimated during water years 2010 and 2011 at four eddy-covariance sites. Two sites were in phreatophytic shrubland dominated by greasewood, and two sites were on a playa. Estimates of total ET and ETg were supported with vegetation cover mapping, soil physics considerations, water‑level measurements from wells, and isotopic water sourcing analyses to allow partitioning of ETg into evaporation and transpiration components. Site-based ETg estimates were scaled to the basin level by combining remotely sensed imagery with field reconnaissance. Enhanced vegetation index and brightness temperature data were compared with mapped vegetation cover to partition Dixie Valley into five discharging ET units and compute basin-scale ETg. Evapotranspiration units were defined within a delineated groundwater discharge area and were partitioned as (1) playa lake, (2) playa, (3) sparse shrubland, (4) moderate-to-dense shrubland, and (5) grassland.
Groundwater ET is influenced primarily by phreatophytic vegetative cover, salinity of soil and groundwater within the playa, depth to groundwater, solar radiation, and air temperature. The annual groundwater contribution to site‑scale ET ranged from 24 to 61 percent of total ET at vegetated sites and 4 to 15 percent of total ET at playa sites. Mean annual ETg from vegetated sites ranged from 53 millimeters (mm) (0.17 foot [ft], 7.3 percent vegetative cover) to 225 mm (0.74 ft, 24.8 percent vegetative cover). Cumulative liquid‑water fluxes in the unsaturated zone indicate that ETg at vegetated sites was influenced primarily by plant transpiration. Binary mixing analyses of oxygen-18 isotopes in groundwater and shallow soil water indicate that plants predominantly use groundwater throughout the year. Groundwater fractions in greasewood stem water varied seasonally and ranged from 0.63 to 1.0. Mean annual playa ETg ranged from about 11 mm (0.04 ft) at the inner playa site (near-surface volumetric water content of 37–53 percent) to about 20 mm (0.07 ft) at the outer playa site located within 2 kilometers of the playa edge (near-surface volumetric water content of 25–38 percent), but playa ETg estimates were within the probable error (plus or minus [±] 20–23 mm; 0.06–0.08 ft). Varying playa ETg was influenced predominantly by salinity rather than depth to groundwater. Osmotic resistance and physical impediments to ET (such as surface salt crusts and salt precipitate in the soil pore space) increased with increasing salinity toward the playa center, whereas vapor pressure decreased.
Mean annual basin-scale ETg totaled about 28 million cubic meters (Mm3) (23,000 acre-feet [acre-ft]), and represents the sum of ETg from all ET units. Annual groundwater ET from vegetated areas totaled about 26 Mm3 (21,000 acre-ft), and was dominated by the moderate-to-dense shrubland ET unit (54 percent), followed by sparse shrubland (37 percent) and grassland (9 percent) ET units. Senesced grasses observed in the northern most areas of the moderate-to-dense ET unit likely confounded the vegetation index and led to an overestimate of ETg for this ET unit. Therefore, mean annual ETg for moderate-to-dense shrubland presented here is likely an upper bound. Annual groundwater ET from the playa ET unit was 2.2 Mm3 (1,800 acre-ft), whereas groundwater ET from the playa lake ET unit was 0–0.1 Mm3 (0–100 acre-ft). Oxygen-18 and deuterium data indicate discharge from the playa center predominantly represents removal of local precipitation-derived recharge. The playa lake estimate, therefore, is considered an upper bound. Mean annual ETg estimates for Dixie Valley are assumed to represent the pre‑development, long-term ETg rates within the study area.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/pp1805","collaboration":"Prepared in cooperation with the Bureau of Reclamation","usgsCitation":"Garcia, C.A., Huntington, J.M., Buto, S.G., Moreo, M.T., Smith, J.L., and Andraski, B.J., 2015, Groundwater discharge by evapotranspiration, Dixie Valley, west-central Nevada, March 2009–September 2011 (ver. 1.1, April 2015): U.S. Geological Survey Professional Paper 1805, 90 p., https://doi.org/10.3133/pp1805.","productDescription":"Report: ix, 89 p.; 8 Appendixes; Evapotranspiration units; Groundwater discharge area; Vegetation index","numberOfPages":"104","onlineOnly":"N","additionalOnlineFiles":"N","temporalStart":"2009-03-01","temporalEnd":"2011-12-31","ipdsId":"IP-034747","costCenters":[{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true}],"links":[{"id":294843,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/pp/1805/images/covrthb.jpg"},{"id":294826,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/pp/1805/pdf/pp1805.pdf","text":"Report","size":"5 MB","linkFileType":{"id":1,"text":"pdf"}},{"id":294840,"type":{"id":23,"text":"Spatial Data"},"url":"https://water.usgs.gov/lookup/getspatial?pp1805_ETunits","text":"Evapotranspiration units"},{"id":294825,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/pp/1805/"},{"id":401429,"rank":7,"type":{"id":25,"text":"Version History"},"url":"https://pubs.usgs.gov/pp/1805/versionHist.txt"},{"id":294841,"type":{"id":23,"text":"Spatial Data"},"url":"https://water.usgs.gov/lookup/getspatial?pp1805_GDA","text":"Groundwater discharge area"},{"id":294842,"type":{"id":23,"text":"Spatial Data"},"url":"https://water.usgs.gov/lookup/getspatial?pp1805_VI","text":"Vegetation index"},{"id":401430,"rank":8,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/pp/1805/downloads/pp1805_appendix01.xlsx","text":"Appendix 1","size":"786 KB","linkFileType":{"id":3,"text":"xlsx"}},{"id":401431,"rank":9,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/pp/1805/downloads/pp1805_appendix02.xlsx","text":"Appendix 2","size":"26 KB","linkFileType":{"id":3,"text":"xlsx"}},{"id":401432,"rank":10,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/pp/1805/downloads/pp1805_appendix03.xlsx","text":"Appendix 3","size":"25 KB","linkFileType":{"id":3,"text":"xlsx"}},{"id":401433,"rank":11,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/pp/1805/downloads/pp1805_appendix04.xlsx","text":"Appendix 4","size":"32 KB","linkFileType":{"id":3,"text":"xlsx"}},{"id":401434,"rank":12,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/pp/1805/downloads/pp1805_appendix05.xlsx","text":"Appendix 5","size":"15 KB","linkFileType":{"id":3,"text":"xlsx"}},{"id":401435,"rank":13,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/pp/1805/downloads/pp1805_appendix06.xlsx","text":"Appendix 6","size":"74 KB","linkFileType":{"id":3,"text":"xlsx"}},{"id":401436,"rank":14,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/pp/1805/pdf/pp1805_appendix07.pdf","text":"Appendix 7","size":"46 KB","linkFileType":{"id":1,"text":"pdf"}},{"id":401437,"rank":15,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/pp/1805/downloads/pp1805_appendix08.xlsx","text":"Appendix 8","size":"13 KB","linkFileType":{"id":3,"text":"xlsx"}}],"scale":"24000","projection":"Universal Transverse Mercator projection","datum":"North American Datum of 1983","country":"United States","state":"Nevada","otherGeospatial":"Dixie Valley","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -118.2183837890625,\n 39.26203141523749\n ],\n [\n -118.2183837890625,\n 40.065460682065535\n ],\n [\n -117.23510742187501,\n 40.065460682065535\n ],\n [\n -117.23510742187501,\n 39.26203141523749\n ],\n [\n -118.2183837890625,\n 39.26203141523749\n ]\n ]\n ]\n }\n }\n ]\n}","edition":"Version 1.0: October 2, 2014; Version 1.1: April 7, 2015","contact":"Director,
Nevada Water Science Center
U.S. Geological Survey
2730 N. Deer Run Rd.
Carson City, NV 89701
Surface-water supplies are important sources of drinking water for residents in the Triangle area of North Carolina, which is located within the upper Cape Fear and Neuse River Basins. Since 1988, the U.S. Geological Survey and a consortium of governments have tracked water-quality conditions and trends in several of the area’s water-supply lakes and streams. This report summarizes data collected through this cooperative effort, known as the Triangle Area Water Supply Monitoring Project, during October 2008 through September 2009. Major findings for this period include:
\n- Annual precipitation was approximately 20 percent below the long-term mean (average) annual precipitation.
\n\n- Streamflow was below the long-term mean at the 10 project streamgages during most of the year.
\n\n- More than 7,000 individual measurements of water quality were made at a total of 26 sites—15 in the Neuse River Basin and 11 in the Cape Fear River Basin. Forty-seven water-quality properties and constituents were measured.
\n\n- All observations met North Carolina water-quality standards for water temperature, pH, hardness, chloride, fluoride, sulfate, nitrate, arsenic, cadmium, chromium, lead, nickel, and selenium.
\n\n- North Carolina water-quality standards were exceeded one or more times for dissolved oxygen, dissolved oxygen percent saturation, chlorophyll a, mercury, copper, iron, manganese, silver, and zinc. Exceedances occurred at 23 sites—13 in the Neuse River Basin and 10 in the Cape Fear River Basin.
\n\n- Stream samples collected during storm events contained elevated concentrations of 18 water-quality constituents compared to samples collected during non-storm events.
\n\n- Concentrations of nitrogen and phosphorus were within ranges observed during previous years.
\n\n- Five reservoirs had chlorophyll a concentrations in excess of 40 micrograms per liter at least once during 2009: Little River Reservoir, Falls Lake, Cane Creek Reservoir, University Lake, and Jordan Lake.
The Great Lakes (Superior, Michigan, Huron, Erie, and Ontario) are the largest group of freshwater lakes on Earth and serve as an important source of drinking water, transportation, power, and recreational opportunities for the United States and Canada. They also support an abundant commercial and recreational fishery, are crucial for agriculture, and are essential to the economic vitality of the region. The Great Lakes support a wealth of biological diversity, including over 200 globally rare plants and animals and more than 40 species that are found nowhere else in the world. However, more than a century of environmental degradation has taken a substantial toll on the Great Lakes. To stimulate and promote the goal of a healthy Great Lakes region, President Obama and Congress created the Great Lakes Restoration Initiative (GLRI) in 2009. The GLRI is an interagency collaboration that seeks to address the most significant environmental problems in the Great Lakes ecosystem. The GLRI is composed of five focus areas that address these issues:
\nAs of August 2013, the GLRI had funded more than 1,500 projects and programs of the highest priority to meet immediate cleanup, restoration, and protection needs. These projects use scientific analyses as the basis for identifying the restoration needs and priorities for the GLRI. Results from the science, monitoring, and other on-the-ground actions by the U.S. Geological Survey (USGS) provide the scientific information needed to help guide the Great Lakes restoration efforts. This document highlights a selection of USGS projects for each of the five focus areas through 2013, demonstrating the importance of science for restoration success. Additional information for these and other USGS projects that are important for Great Lakes restoration is available at http://cida.usgs.gov/glri/glri-catalog/.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/cir1404","collaboration":"A Product of the Great Lakes Restoration Initiative","usgsCitation":"Water Resources Division, U.S. Geological Survey, 2014, Great Lakes restoration success through science: U.S. Geological Survey accomplishments 2010 through 2013: U.S. Geological Survey Circular 1404, v, 56 p., https://doi.org/10.3133/cir1404.","productDescription":"v, 56 p.","numberOfPages":"68","onlineOnly":"N","additionalOnlineFiles":"N","temporalStart":"2010-01-01","temporalEnd":"2013-12-31","ipdsId":"IP-058287","costCenters":[{"id":323,"text":"Great Lakes Restoration","active":false,"usgs":true},{"id":382,"text":"Michigan Water Science Center","active":true,"usgs":true}],"links":[{"id":294757,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/cir1404.jpg"},{"id":294756,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/circ/1404/pdf/circ1404.pdf","text":"Report","size":"35.3 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Report"},{"id":294755,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/circ/1404/"}],"country":"Canada, United States","otherGeospatial":"Great Lakes","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -88.13232421875,\n 49.06666839558117\n ],\n [\n -86.15478515625,\n 48.850258199721495\n ],\n [\n -84.638671875,\n 48.03401915864286\n ],\n [\n -83.8916015625,\n 46.46813299215554\n ],\n [\n -80.771484375,\n 46.042735653846506\n ],\n [\n -79.34326171875,\n 45.07352060670971\n ],\n [\n -78.7060546875,\n 44.071800467511565\n ],\n [\n -76.04736328125,\n 44.465151013519616\n ],\n [\n -74.99267578125,\n 45.042478050891546\n ],\n [\n -74.267578125,\n 45.089035564831036\n ],\n [\n -74.06982421875,\n 44.19795903948531\n ],\n [\n -75.08056640625,\n 42.5530802889558\n ],\n [\n -76.83837890625,\n 41.73852846935917\n ],\n [\n -80.4638671875,\n 40.81380923056961\n ],\n [\n -82.77099609375,\n 40.329795743702064\n ],\n [\n -87.51708984375,\n 41.09591205639546\n ],\n [\n -89.67041015625,\n 43.24520272203359\n ],\n [\n -92.87841796875,\n 46.42271253466717\n ],\n [\n -92.92236328125,\n 47.57652571374621\n ],\n [\n -89.97802734375,\n 48.879167148960214\n ],\n [\n -88.13232421875,\n 49.06666839558117\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"542e5b08e4b092f17df5a6af","contributors":{"authors":[{"text":"Water Resources Division, U.S. Geological Survey","contributorId":128075,"corporation":true,"usgs":false,"organization":"Water Resources Division, U.S. Geological Survey","id":544977,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70121281,"text":"sir20145163 - 2014 - Assessment of the spatial extent and height of flooding in Lake Champlain during May 2011, using satellite remote sensing and ground-based information","interactions":[],"lastModifiedDate":"2014-10-02T09:02:28","indexId":"sir20145163","displayToPublicDate":"2014-10-02T08:56:00","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2014-5163","title":"Assessment of the spatial extent and height of flooding in Lake Champlain during May 2011, using satellite remote sensing and ground-based information","docAbstract":"Landsat 5 and moderate resolution imaging spectro-radiometer satellite imagery were used to map the area of inundation of Lake Champlain, which forms part of the border between New York and Vermont, during May 2011. During this month, the lake’s water levels were record high values not observed in the previous 150 years. Lake inundation area determined from the satellite imagery is correlated with lake stage measured at three U.S. Geological Survey lake level gages to provide estimates of lake area at different lake levels (stage/area rating) and also compared with the levels of the high-water marks (HWMs) located on the Vermont side of the lake. The rating developed from the imagery shows a somewhat different relation than a similar stage/area rating developed from a medium-resolution digital elevation model (DEM) of the region. According to the rating derived from the imagery, the lake surface area during the peak lake level increased by about 17 percent above the average or “normal” lake level. By using a comparable rating developed from the DEM, the increase above average is estimated to be about 12 percent. The northern part of the lake (north of Burlington) showed the largest amount of flooding. Based on intersecting the inundation maps with the medium-resolution DEM, lake levels were not uniform around the lake. This is also evident from the lake level gage measurements and HWMs. The gage data indicate differences up to 0.5 feet between the northern and southern end of the lake. Additionally, the gage data show day-to-day and intradaily variation of the same range (0.5 foot). The high-water mark observations show differences up to 2 feet around the lake, with the highest level generally along the south- and west-facing shorelines. The data suggest that during most of May 2011, water levels were slightly higher and less variable in the northern part of the lake. These phenomena may be caused by wind effects as well as proximity to major river inputs to the lake. The inundation areas generated from the imagery generally coincide with flood mapping as estimated by the Federal Emergency Management Agency (FEMA) and shown on its digital flood insurance rate maps. Where areas in the flood inundation map derived from the imagery and the FEMA estimated flooded areas differ substantially, this difference may be due to differences between the flood magnitude at the time of the image and the assumed flood condition used for the FEMA modeling and mapping, wind/storage effects not accounted for by the FEMA modeling, and the resolution of the image compared to the DEM used in the FEMA mapping.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20145163","collaboration":"Prepared in cooperation with the Federal Emergency Management Agency","usgsCitation":"Bjerklie, D.M., Trombley, T.J., and Olson, S.A., 2014, Assessment of the spatial extent and height of flooding in Lake Champlain during May 2011, using satellite remote sensing and ground-based information: U.S. Geological Survey Scientific Investigations Report 2014-5163, Report: vii, 18 p.; 1 Plate: 24 x 27 inches, https://doi.org/10.3133/sir20145163.","productDescription":"Report: vii, 18 p.; 1 Plate: 24 x 27 inches","numberOfPages":"30","onlineOnly":"Y","ipdsId":"IP-051120","costCenters":[{"id":196,"text":"Connecticut Water Science Center","active":true,"usgs":true}],"links":[{"id":294753,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20145163.jpg"},{"id":294750,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2014/5163/pdf/sir2014-5163.pdf"},{"id":294751,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2014/5163/"},{"id":294752,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sir/2014/5163/figure/sir2014-5163_fig08.pdf"}],"country":"Canada, United States","otherGeospatial":"Lake Champlain","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"542e5b06e4b092f17df5a6a5","contributors":{"authors":[{"text":"Bjerklie, David M. 0000-0002-9890-4125 dmbjerkl@usgs.gov","orcid":"https://orcid.org/0000-0002-9890-4125","contributorId":3589,"corporation":false,"usgs":true,"family":"Bjerklie","given":"David","email":"dmbjerkl@usgs.gov","middleInitial":"M.","affiliations":[{"id":196,"text":"Connecticut Water Science Center","active":true,"usgs":true},{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":498914,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Trombley, Thomas J. trombley@usgs.gov","contributorId":1803,"corporation":false,"usgs":true,"family":"Trombley","given":"Thomas","email":"trombley@usgs.gov","middleInitial":"J.","affiliations":[{"id":196,"text":"Connecticut Water Science Center","active":true,"usgs":true}],"preferred":true,"id":498912,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Olson, Scott A. 0000-0002-1064-2125 solson@usgs.gov","orcid":"https://orcid.org/0000-0002-1064-2125","contributorId":2059,"corporation":false,"usgs":true,"family":"Olson","given":"Scott","email":"solson@usgs.gov","middleInitial":"A.","affiliations":[{"id":405,"text":"NH/VT office of New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":498913,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70127472,"text":"ofr20141209 - 2014 - Concentration and flux of total and dissolved phosphorus, total nitrogen, chloride, and total suspended solids for monitored tributaries of Lake Champlain, 1990-2012","interactions":[],"lastModifiedDate":"2014-10-02T08:50:50","indexId":"ofr20141209","displayToPublicDate":"2014-10-02T08:42:00","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2014-1209","title":"Concentration and flux of total and dissolved phosphorus, total nitrogen, chloride, and total suspended solids for monitored tributaries of Lake Champlain, 1990-2012","docAbstract":"Annual and daily concentrations and fluxes of total and dissolved phosphorus, total nitrogen, chloride, and total suspended solids were estimated for 18 monitored tributaries to Lake Champlain by using the Weighted Regressions on Time, Discharge, and Seasons regression model. Estimates were made for 21 or 23 years, depending on data availability, for the purpose of providing timely and accessible summary reports as stipulated in the 2010 update to the Lake Champlain “Opportunities for Action” management plan. Estimates of concentration and flux were provided for each tributary based on (1) observed daily discharges and (2) a flow-normalizing procedure, which removed the random fluctuations of climate-related variability. The flux bias statistic, an indicator of the ability of the Weighted Regressions on Time, Discharge, and Season regression models to provide accurate representations of flux, showed acceptable bias (less than ±10 percent) for 68 out of 72 models for total and dissolved phosphorus, total nitrogen, and chloride. Six out of 18 models for total suspended solids had moderate bias (between 10 and 30 percent), an expected result given the frequently nonlinear relation between total suspended solids and discharge. One model for total suspended solids with a very high bias was influenced by a single extreme value; however, removal of that value, although reducing the bias substantially, had little effect on annual fluxes.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20141209","collaboration":"Prepared in cooperation with the Lake Champlain Basin Program and the Vermont Department of Environmental Conservation","usgsCitation":"Medalie, L., 2014, Concentration and flux of total and dissolved phosphorus, total nitrogen, chloride, and total suspended solids for monitored tributaries of Lake Champlain, 1990-2012: U.S. Geological Survey Open-File Report 2014-1209, Report: vi, 21 p.; 6 Appendices, https://doi.org/10.3133/ofr20141209.","productDescription":"Report: vi, 21 p.; 6 Appendices","numberOfPages":"32","onlineOnly":"Y","ipdsId":"IP-059317","costCenters":[{"id":405,"text":"NH/VT office of New England Water Science Center","active":true,"usgs":true}],"links":[{"id":294749,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20141209.jpg"},{"id":294741,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2014/1209/"},{"id":294742,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2014/1209/pdf/ofr2014-1209.pdf"},{"id":294743,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/of/2014/1209/appendix/ofr2014-1209_app1_annual.xlsx"},{"id":294744,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/of/2014/1209/appendix/ofr2014-1209_app2_TP.xlsx"},{"id":294745,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/of/2014/1209/appendix/ofr2014-1209_app3_DP.xlsx"},{"id":294746,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/of/2014/1209/appendix/ofr2014-1209_app4_TN.xlsx"},{"id":294747,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/of/2014/1209/appendix/ofr2014-1209_app5_Cl.xlsx"},{"id":294748,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/of/2014/1209/appendix/ofr2014-1209_app6_TSS.xlsx"}],"scale":"24000","datum":"North American Datum 1983","country":"Canada, United States","otherGeospatial":"Lake Champlain","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"542e5b07e4b092f17df5a6a7","contributors":{"authors":[{"text":"Medalie, Laura 0000-0002-2440-2149 lmedalie@usgs.gov","orcid":"https://orcid.org/0000-0002-2440-2149","contributorId":3657,"corporation":false,"usgs":true,"family":"Medalie","given":"Laura","email":"lmedalie@usgs.gov","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":502337,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70133234,"text":"70133234 - 2014 - Systematics of Vampyressa melissa Thomas, 1926 (Chiroptera, Phyllostomidae), with descriptions of two new species of Vampyressa","interactions":[],"lastModifiedDate":"2020-12-21T17:19:59.535568","indexId":"70133234","displayToPublicDate":"2014-10-02T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":739,"text":"American Museum Novitates","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Systematics of Vampyressa melissa Thomas, 1926 (Chiroptera, Phyllostomidae), with descriptions of two new species of Vampyressa","title":"Systematics of Vampyressa melissa Thomas, 1926 (Chiroptera, Phyllostomidae), with descriptions of two new species of Vampyressa","docAbstract":"Vampyressa melissa is a poorly known phyllostomid bat listed as vulnerable by the International Union for Conservation of Nature (IUCN). Since its description in 1926, fewer than 40 V. melissa have been reported in the literature, and less than half of these may have been correctly identified. During revisionary studies of Vampyressa, we uncovered two previously unrecognized species related to V. melissa, all associated with higher elevation habitats (>1400 m), one from the Andes of Colombia (Vampyressa sinchi, new species) and the other from western Panama (Vampyressa elisabethae, new species) revealing that V. melissa, as traditionally defined, is a composite of at least three species. In this paper, we provide a restricted diagnosis for the genus Vampyressa, an emended diagnosis of V. melissa, and descriptions of the two new species. The separation of these frugivorous bats, previously identified as V. melissa, into three isolated upper-elevation species, each having restricted distributions further highlights their fragile conservation status.
","language":"English","publisher":"American Museum of Natural History","doi":"10.1206/3813.1","usgsCitation":"Tavares, V.D., Gardner, A., Ramirez-Chaves, H.E., and Velazco, P.M., 2014, Systematics of Vampyressa melissa Thomas, 1926 (Chiroptera, Phyllostomidae), with descriptions of two new species of Vampyressa: American Museum Novitates, 3813, 27 p., https://doi.org/10.1206/3813.1.","productDescription":"3813, 27 p.","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-056566","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":472704,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1206/3813.1","text":"Publisher Index Page"},{"id":296156,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"546c762fe4b0f4a3478a61a8","contributors":{"authors":[{"text":"Tavares, Valeria da C.","contributorId":127474,"corporation":false,"usgs":false,"family":"Tavares","given":"Valeria","email":"","middleInitial":"da C.","affiliations":[{"id":7022,"text":"Instituto Nacional de Pesquisas da Amazônia (INPA), Brazil","active":true,"usgs":false}],"preferred":false,"id":525348,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gardner, Alfred L. 0000-0002-4945-1641 agardner@usgs.gov","orcid":"https://orcid.org/0000-0002-4945-1641","contributorId":412,"corporation":false,"usgs":true,"family":"Gardner","given":"Alfred L.","email":"agardner@usgs.gov","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":false,"id":524922,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ramirez-Chaves, Hector E.","contributorId":127475,"corporation":false,"usgs":false,"family":"Ramirez-Chaves","given":"Hector","email":"","middleInitial":"E.","affiliations":[{"id":7031,"text":"School of Biological Sciences, University of Queensland","active":true,"usgs":false}],"preferred":false,"id":525349,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Velazco, Paul M.","contributorId":64781,"corporation":false,"usgs":false,"family":"Velazco","given":"Paul","email":"","middleInitial":"M.","affiliations":[{"id":7013,"text":"Department of Vertebrate Paleontology, American Museum of Natural History","active":true,"usgs":false}],"preferred":false,"id":525350,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70116456,"text":"70116456 - 2014 - SToRM: A Model for Unsteady Surface Hydraulics Over Complex Terrain","interactions":[],"lastModifiedDate":"2015-10-26T11:47:43","indexId":"70116456","displayToPublicDate":"2014-10-02T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"SToRM: A Model for Unsteady Surface Hydraulics Over Complex Terrain","docAbstract":"A two-dimensional (depth-averaged) finite volume Godunov-type shallow water model developed for flow over complex topography is presented. The model is based on an unstructured cellcentered finite volume formulation and a nonlinear strong stability preserving Runge-Kutta time stepping scheme. The numerical discretization is founded on the classical and well established shallow water equations in hyperbolic conservative form, but the convective fluxes are calculated using auto-switching Riemann and diffusive numerical fluxes. The model’s implementation within a graphical user interface is discussed. Field application of the model is illustrated by utilizing it to estimate peak flow discharges in a flooding event of historic significance in Colorado, U.S.A., in 2013.
","largerWorkType":{"id":24,"text":"Conference Paper"},"largerWorkTitle":"Proceedings of the 11th International Conference on Hydroscience & Engineering","conferenceTitle":"ICHE 2014","conferenceDate":"Sep. 29–Oct. 2, 2014","conferenceLocation":"Hamburg, Germany","language":"English","usgsCitation":"Simoes, F.J., 2014, SToRM: A Model for Unsteady Surface Hydraulics Over Complex Terrain, in Proceedings of the 11th International Conference on Hydroscience & Engineering, Hamburg, Germany, Sep. 29–Oct. 2, 2014, 8 p.","productDescription":"8 p.","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-058093","costCenters":[],"links":[{"id":310638,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"562f4ebae4b093cee780a2a7","contributors":{"authors":[{"text":"Simoes, Francisco J. 0000-0002-0934-9730 frsimoes@usgs.gov","orcid":"https://orcid.org/0000-0002-0934-9730","contributorId":2019,"corporation":false,"usgs":true,"family":"Simoes","given":"Francisco","email":"frsimoes@usgs.gov","middleInitial":"J.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":519044,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70114406,"text":"70114406 - 2014 - Capture-recapture of white-tailed deer using DNA from fecal pellet-groups","interactions":[],"lastModifiedDate":"2015-11-13T15:24:02","indexId":"70114406","displayToPublicDate":"2014-10-01T16:30:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3766,"text":"Wildlife Biology","active":true,"publicationSubtype":{"id":10}},"title":"Capture-recapture of white-tailed deer using DNA from fecal pellet-groups","docAbstract":"Traditional methods for estimating white-tailed deer population size and density are affected by behavioral biases, poor detection in densely forested areas, and invalid techniques for estimating effective trapping area. We evaluated a noninvasive method of capture—recapture for white-tailed deer (Odocoileus virginianus) density estimation using DNA extracted from fecal pellets as an individual marker and for gender determination, coupled with a spatial detection function to estimate density (spatially explicit capture—recapture, SECR). We collected pellet groups from 11 to 22 January 2010 at randomly selected sites within a 1-km2 area located on Arnold Air Force Base in Coffee and Franklin counties, Tennessee. We searched 703 10-m radius plots and collected 352 pellet-group samples from 197 plots over five two-day sampling intervals. Using only the freshest pellets we recorded 140 captures of 33 different animals (15M:18F). Male and female densities were 1.9 (SE = 0.8) and 3.8 (SE = 1.3) deer km-2, or a total density of 5.8 deer km-2 (14.9 deer mile-2). Population size was 20.8 (SE = 7.6) over a 360-ha area, and sex ratio was 1.0 M: 2.0 F (SE = 0.71). We found DNA sampling from pellet groups improved deer abundance, density and sex ratio estimates in contiguous landscapes which could be used to track responses to harvest or other management actions.
","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Wildlife Biology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Nordic Council of Wildlife Research","publisherLocation":"Rønde, Denmark","doi":"10.2981/wlb.00050","usgsCitation":"Goode, M.J., Beaver, J.T., Muller, L.I., Clark, J.D., van Manen, F.T., Harper, C.T., and Basinger, P.S., 2014, Capture-recapture of white-tailed deer using DNA from fecal pellet-groups: Wildlife Biology, v. 20, no. 5, p. 270-278, https://doi.org/10.2981/wlb.00050.","productDescription":"9 p.","startPage":"270","endPage":"278","numberOfPages":"9","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-057426","costCenters":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"links":[{"id":472705,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.2981/wlb.00050","text":"Publisher Index Page"},{"id":311318,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Tennessee","county":"Coffee, Franklin","otherGeospatial":"Arnold Air Force Base","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -86.1628532409668,\n 35.34817568802731\n ],\n [\n -86.1628532409668,\n 35.45717436092245\n ],\n [\n -86.02603912353516,\n 35.45717436092245\n ],\n [\n -86.02603912353516,\n 35.34817568802731\n ],\n [\n -86.1628532409668,\n 35.34817568802731\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"20","issue":"5","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"564717c0e4b0e2669b313102","contributors":{"authors":[{"text":"Goode, Matthew J","contributorId":118037,"corporation":false,"usgs":true,"family":"Goode","given":"Matthew","email":"","middleInitial":"J","affiliations":[],"preferred":false,"id":518993,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Beaver, Jared T","contributorId":118120,"corporation":false,"usgs":true,"family":"Beaver","given":"Jared","email":"","middleInitial":"T","affiliations":[],"preferred":false,"id":518994,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Muller, Lisa I","contributorId":117441,"corporation":false,"usgs":true,"family":"Muller","given":"Lisa","email":"","middleInitial":"I","affiliations":[],"preferred":false,"id":518992,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Clark, Joseph D. 0000-0002-8547-8112 jclark1@usgs.gov","orcid":"https://orcid.org/0000-0002-8547-8112","contributorId":2265,"corporation":false,"usgs":true,"family":"Clark","given":"Joseph","email":"jclark1@usgs.gov","middleInitial":"D.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true},{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":518990,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"van Manen, Frank T. 0000-0001-5340-8489 fvanmanen@usgs.gov","orcid":"https://orcid.org/0000-0001-5340-8489","contributorId":2267,"corporation":false,"usgs":true,"family":"van Manen","given":"Frank","email":"fvanmanen@usgs.gov","middleInitial":"T.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":518991,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Harper, Craig T","contributorId":118602,"corporation":false,"usgs":true,"family":"Harper","given":"Craig","email":"","middleInitial":"T","affiliations":[],"preferred":false,"id":518995,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Basinger, P Seth","contributorId":121348,"corporation":false,"usgs":true,"family":"Basinger","given":"P","email":"","middleInitial":"Seth","affiliations":[],"preferred":false,"id":518996,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70059172,"text":"70059172 - 2014 - Evidence for a marine incursion along the lower Colorado River corridor","interactions":[],"lastModifiedDate":"2014-10-02T08:47:20","indexId":"70059172","displayToPublicDate":"2014-10-01T15:22:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1820,"text":"Geosphere","active":true,"publicationSubtype":{"id":10}},"title":"Evidence for a marine incursion along the lower Colorado River corridor","docAbstract":"Foraminiferal assemblages in the stratigraphically lower part of the Bouse Formation in the Blythe Basin indicate marine conditions whereas assemblages in the upper part of the Bouse Formation indicate lacustrine conditions and suggest the presence of a saline lake. Benthic foraminiferal assemblages in the lower part of the Bouse Formation are similar to lagoonal and inner neritic biofacies of the modern Gulf of California. Evidence suggesting a change from marine to lacustrine conditions includes the highest occurrence of planktic foraminifers at an elevation of 123 m asl, the change from low diversity to monospecific foraminiferal assemblages composed only of Ammonia beccarii (between 110 to126 m asl), an increase in abundance of A. beccarii specimens (above ~110 m asl), increased number of deformed tests (above ~123 m asl), first appearance of Chara (at ~85 m asl), lowest occurrence of reworked Cretaceous coccoliths (at ~110 m), a decrease in strontium isotopic values (between 70-120 m), and δ18O and δ13C values similar to sea water (between 70-100 m asl). Planktic foraminifers indicate a late Miocene age between 8.10 and 5.3 Ma for the oldest part of the Bouse Formation in the southern part of the Blythe Basin. Benthic and planktic foraminifers correlate with other late Miocene sections and suggest that the basal Bouse Formation in the Blythe Basin was deposited at the northern end of the proto-Gulf of California. After the marine connection was restricted or eliminated, the Colorado River flowed into the Blythe Basin forming a saline lake. This lake supported a monospecific foraminiferal assemblage of A. beccarii until the lake spilled into the Salton Trough and the Colorado River became a through-flowing river.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Geosphere","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Geological Society of America","doi":"10.1130/GES00975.1","usgsCitation":"McDougall, K., and Martinez, A.Y., 2014, Evidence for a marine incursion along the lower Colorado River corridor: Geosphere, v. 10, no. 5, p. 842-869, https://doi.org/10.1130/GES00975.1.","productDescription":"28 p.","startPage":"842","endPage":"869","numberOfPages":"28","ipdsId":"IP-053075","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":472707,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1130/ges00975.1","text":"Publisher Index Page"},{"id":294739,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":294738,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1130/GES00975.1"}],"country":"United States","state":"California","otherGeospatial":"Blythe Basin","volume":"10","issue":"5","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"542d098ee4b092f17defc526","contributors":{"authors":[{"text":"McDougall, Kristin","contributorId":84673,"corporation":false,"usgs":true,"family":"McDougall","given":"Kristin","affiliations":[],"preferred":false,"id":487512,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Martinez, Adriana Yanet Miranda","contributorId":73126,"corporation":false,"usgs":true,"family":"Martinez","given":"Adriana","email":"","middleInitial":"Yanet Miranda","affiliations":[],"preferred":false,"id":487511,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70115007,"text":"70115007 - 2014 - Estimates of vital rates for a declining loggerhead turtle (Caretta caretta) subpopulation: implications for management","interactions":[],"lastModifiedDate":"2014-10-23T09:35:33","indexId":"70115007","displayToPublicDate":"2014-10-01T15:05:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2660,"text":"Marine Biology","active":true,"publicationSubtype":{"id":10}},"title":"Estimates of vital rates for a declining loggerhead turtle (Caretta caretta) subpopulation: implications for management","docAbstract":"Because subpopulations can differ geographically, genetically and/or phenotypically, using data from one subpopulation to derive vital rates for another, while often unavoidable, is not optimal. We used a two-state open robust design model to analyze a 14-year dataset (1998–2011) from the St. Joseph Peninsula, Florida (USA; 29.748°, −85.400°) which is the densest loggerhead (Caretta caretta) nesting beach in the Northern Gulf of Mexico subpopulation. For these analyses, 433 individuals were marked of which only 7.2 % were observed re-nesting in the study area in subsequent years during the study period. Survival was estimated at 0.86 and is among the highest estimates for all subpopulations in the Northwest Atlantic population. The robust model estimated a nesting assemblage size that ranged from 32 to 230 individuals each year with an annual average of 110. The model estimates indicated an overall population decline of 17 %. The results presented here for this nesting group represent the first estimates for this subpopulation. These data provide managers with information specific to this subpopulation that can be used to develop recovery plans and conduct subpopulation-specific modeling exercises explicit to the challenges faced by turtles nesting in this region.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Marine Biology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Springer","doi":"10.1007/s00227-014-2537-0","usgsCitation":"Lamont, M.M., Fujisaki, I., and Carthy, R.R., 2014, Estimates of vital rates for a declining loggerhead turtle (Caretta caretta) subpopulation: implications for management: Marine Biology, v. 161, no. 11, p. 2659-2668, https://doi.org/10.1007/s00227-014-2537-0.","productDescription":"10 p.","startPage":"2659","endPage":"2668","numberOfPages":"10","ipdsId":"IP-054513","costCenters":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"links":[{"id":294735,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":294734,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s00227-014-2537-0"}],"country":"United States","state":"Florida","otherGeospatial":"St. Joseph Peninsula","volume":"161","issue":"11","noUsgsAuthors":false,"publicationDate":"2014-09-19","publicationStatus":"PW","scienceBaseUri":"542d098de4b092f17defc517","contributors":{"authors":[{"text":"Lamont, Margaret M. 0000-0001-7520-6669 mlamont@usgs.gov","orcid":"https://orcid.org/0000-0001-7520-6669","contributorId":4525,"corporation":false,"usgs":true,"family":"Lamont","given":"Margaret","email":"mlamont@usgs.gov","middleInitial":"M.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":495468,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fujisaki, Ikuko","contributorId":42152,"corporation":false,"usgs":false,"family":"Fujisaki","given":"Ikuko","affiliations":[],"preferred":false,"id":495469,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Carthy, Raymond R. 0000-0001-8978-5083 rayc@usgs.gov","orcid":"https://orcid.org/0000-0001-8978-5083","contributorId":3685,"corporation":false,"usgs":true,"family":"Carthy","given":"Raymond","email":"rayc@usgs.gov","middleInitial":"R.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":495467,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70160697,"text":"70160697 - 2014 - Interspecific habitat associations of juvenile salmonids in Lake Ontario tributaries: implications for Atlantic salmon restoration","interactions":[],"lastModifiedDate":"2015-12-30T13:11:23","indexId":"70160697","displayToPublicDate":"2014-10-01T14:15:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2166,"text":"Journal of Applied Ichthyology","active":true,"publicationSubtype":{"id":10}},"title":"Interspecific habitat associations of juvenile salmonids in Lake Ontario tributaries: implications for Atlantic salmon restoration","docAbstract":"Diel variation in habitat use of subyearling Chinook salmon (Oncorhynchus tshawytscha), subyearling coho salmon (O. kisutch), yearling steelhead (O. mykiss), and yearling Atlantic salmon (Salmo salar) was examined during the spring in two tributaries of Lake Ontario. A total of 1318 habitat observations were made on juvenile salmonids including 367 on steelhead, 351 on Chinook salmon, 333 on Atlantic salmon, and 261 on coho salmon. Steelhead exhibited the most diel variation in habitat use and Chinook the least. Juvenile salmonids were generally associated with more cover and larger substrate during the day in both streams. Interspecific differences in habitat use in both streams occurred with Atlantic salmon (fast velocities) and coho salmon (pools) using the least similar habitat. Chinook salmon and Atlantic salmon used similar habitat in both streams. These findings should help guide future management actions specific to habitat protection and restoration of Atlantic salmon in Lake Ontario tributaries.
","language":"English","publisher":"Wiley-Blackwell","publisherLocation":"Berlin","doi":"10.1111/jai.12456","usgsCitation":"Johnson, J.H., and Chalupnicki, M.A., 2014, Interspecific habitat associations of juvenile salmonids in Lake Ontario tributaries: implications for Atlantic salmon restoration: Journal of Applied Ichthyology, v. 30, no. 5, p. 853-861, https://doi.org/10.1111/jai.12456.","productDescription":"9 p.","startPage":"853","endPage":"861","numberOfPages":"9","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-051102","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":472708,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/jai.12456","text":"Publisher Index Page"},{"id":313058,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"New York","otherGeospatial":"Orwell Brook, Trout Brook","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -76.23001098632812,\n 43.50672896600787\n ],\n [\n -76.23001098632812,\n 43.78993250862075\n ],\n [\n -75.91484069824219,\n 43.78993250862075\n ],\n [\n -75.91484069824219,\n 43.50672896600787\n ],\n [\n -76.23001098632812,\n 43.50672896600787\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"30","issue":"5","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationDate":"2014-06-03","publicationStatus":"PW","scienceBaseUri":"56850eb8e4b0a04ef49339a8","contributors":{"authors":[{"text":"Johnson, James H. 0000-0002-5619-3871 jhjohnson@usgs.gov","orcid":"https://orcid.org/0000-0002-5619-3871","contributorId":389,"corporation":false,"usgs":true,"family":"Johnson","given":"James","email":"jhjohnson@usgs.gov","middleInitial":"H.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":583602,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Chalupnicki, Marc A. mchalupnicki@usgs.gov","contributorId":3236,"corporation":false,"usgs":true,"family":"Chalupnicki","given":"Marc","email":"mchalupnicki@usgs.gov","middleInitial":"A.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":false,"id":583603,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70117442,"text":"70117442 - 2014 - Development of a shared vision for groundwater management to protect and sustain baseflows of the Upper San Pedro River, Arizona, USA","interactions":[],"lastModifiedDate":"2014-10-01T14:19:39","indexId":"70117442","displayToPublicDate":"2014-10-01T14:14:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3709,"text":"Water","active":true,"publicationSubtype":{"id":10}},"title":"Development of a shared vision for groundwater management to protect and sustain baseflows of the Upper San Pedro River, Arizona, USA","docAbstract":"Groundwater pumping along portions of the binational San Pedro River has depleted aquifer storage that supports baseflow in the San Pedro River. A consortium of 23 agencies, business interests, and non-governmental organizations pooled their collective resources to develop the scientific understanding and technical tools required to optimize the management of this complex, interconnected groundwater-surface water system. A paradigm shift occurred as stakeholders first collaboratively developed, and then later applied, several key hydrologic simulation and monitoring tools. Water resources planning and management transitioned from a traditional water budget-based approach to a more strategic and spatially-explicit optimization process. After groundwater modeling results suggested that strategic near-stream recharge could reasonably sustain baseflows at or above 2003 levels until the year 2100, even in the presence of continued groundwater development, a group of collaborators worked for four years to acquire 2250 hectares of land in key locations along 34 kilometers of the river specifically for this purpose. These actions reflect an evolved common vision that considers the multiple water demands of both humans and the riparian ecosystem associated with the San Pedro River.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Water","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3390/w6082519","usgsCitation":"Richter, H., Gungle, B., Lacher, L.J., Turner, D., and Bushman, B., 2014, Development of a shared vision for groundwater management to protect and sustain baseflows of the Upper San Pedro River, Arizona, USA: Water, v. 6, no. 8, p. 2519-2538, https://doi.org/10.3390/w6082519.","productDescription":"20 p.","startPage":"2519","endPage":"2538","ipdsId":"IP-058279","costCenters":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true}],"links":[{"id":472709,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/w6082519","text":"Publisher Index Page"},{"id":294727,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":294726,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.3390/w6082519"}],"country":"United States","state":"Arizona","otherGeospatial":"San Pedro River","volume":"6","issue":"8","noUsgsAuthors":false,"publicationDate":"2014-08-21","publicationStatus":"PW","scienceBaseUri":"542d098ae4b092f17defc4da","contributors":{"authors":[{"text":"Richter, Holly E.","contributorId":26238,"corporation":false,"usgs":true,"family":"Richter","given":"Holly E.","affiliations":[],"preferred":false,"id":495989,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gungle, Bruce 0000-0001-6406-1206 bgungle@usgs.gov","orcid":"https://orcid.org/0000-0001-6406-1206","contributorId":107628,"corporation":false,"usgs":true,"family":"Gungle","given":"Bruce","email":"bgungle@usgs.gov","affiliations":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true}],"preferred":false,"id":495992,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lacher, Laurel J.","contributorId":81426,"corporation":false,"usgs":true,"family":"Lacher","given":"Laurel","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":495991,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Turner, Dale S.","contributorId":63742,"corporation":false,"usgs":true,"family":"Turner","given":"Dale S.","affiliations":[],"preferred":false,"id":495990,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bushman, Brooke M.","contributorId":22706,"corporation":false,"usgs":true,"family":"Bushman","given":"Brooke M.","affiliations":[],"preferred":false,"id":495988,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70121479,"text":"ds843 - 2014 - Energy map of southwestern Wyoming, Part B: oil and gas, oil shale, uranium, and solar","interactions":[],"lastModifiedDate":"2014-10-01T16:03:14","indexId":"ds843","displayToPublicDate":"2014-10-01T13:48:00","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":310,"text":"Data Series","code":"DS","onlineIssn":"2327-638X","printIssn":"2327-0271","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"843","title":"Energy map of southwestern Wyoming, Part B: oil and gas, oil shale, uranium, and solar","docAbstract":"The U.S. Geological Survey (USGS) has compiled Part B of the Energy Map of Southwestern Wyoming for the Wyoming Landscape Conservation Initiative (WLCI). Part B consists of oil and gas, oil shale, uranium, and solar energy resource information in support of the WLCI. The WLCI represents the USGS partnership with other Department of the Interior Bureaus, State and local agencies, industry, academia, and private landowners, all of whom collaborate to maintain healthy landscapes, sustain wildlife, and preserve recreational and grazing uses while developing energy resources in southwestern Wyoming. This product is the second and final part of the Energy Map of Southwestern Wyoming series (also see USGS Data Series 683, http://pubs.usgs.gov/ds/683/), and encompasses all of Carbon, Lincoln, Sublette, Sweetwater, and Uinta Counties, as well as areas in Fremont County that are in the Great Divide and Green River Basins.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds843","usgsCitation":"Biewick, L.R., and Wilson, A.B., 2014, Energy map of southwestern Wyoming, Part B: oil and gas, oil shale, uranium, and solar: U.S. Geological Survey Data Series 843, Pamphlet: v, 20 p.; 4 Plates: 61 x 37 in. or smaller; Table; Datafile, https://doi.org/10.3133/ds843.","productDescription":"Pamphlet: v, 20 p.; 4 Plates: 61 x 37 in. or smaller; Table; Datafile","numberOfPages":"29","ipdsId":"IP-053471","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":294724,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ds843.jpg"},{"id":294722,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/ds/843/downloads/Plates"},{"id":294723,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/ds/843/downloads/Data"},{"id":294720,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/ds/843/pdf/ds843.pdf"},{"id":294721,"type":{"id":2,"text":"Additional Report Piece"},"url":"https://pubs.usgs.gov/ds/843/downloads/Table1.pdf"},{"id":292834,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/843/"}],"country":"United States","state":"Wyoming","county":"Carbon County, Freemont County, Lincoln County, Sublette County, Sweetwater County, Uinta County","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"542d098de4b092f17defc50a","contributors":{"authors":[{"text":"Biewick, Laura R.H.","contributorId":62534,"corporation":false,"usgs":true,"family":"Biewick","given":"Laura","email":"","middleInitial":"R.H.","affiliations":[],"preferred":false,"id":499112,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wilson, Anna B. 0000-0002-9737-2614 awilson@usgs.gov","orcid":"https://orcid.org/0000-0002-9737-2614","contributorId":1619,"corporation":false,"usgs":true,"family":"Wilson","given":"Anna","email":"awilson@usgs.gov","middleInitial":"B.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":499111,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70154773,"text":"70154773 - 2014 - Investigations of novel unsaturated bile salts of male sea lamprey as potential chemical cues","interactions":[],"lastModifiedDate":"2015-07-06T12:45:12","indexId":"70154773","displayToPublicDate":"2014-10-01T13:45:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2205,"text":"Journal of Chemical Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Investigations of novel unsaturated bile salts of male sea lamprey as potential chemical cues","docAbstract":"Sulfated bile salts function as chemical cues that coordinate reproduction in sea lamprey, Petromyzon marinus. 7α, 12α, 24-trihydroxy-5α-cholan-3-one 24-sulfate (3kPZS) is the most abundant known bile salt released by sexually mature male sea lampreys and attracts ovulated females. However, previous studies showed that the male-produced pheromone consists of unidentified components in addition to 3kPZS. Here, analysis of water conditioned with mature male sea lampreys indicated the presence of 4 oxidized, unsaturated compounds with molecular weights of 466 Da, 468 Da, and 2 of 470 Da. These compounds were not detectable in water conditioned with immature male sea lampreys. By using mass spectrometry, 4 A-ring unsaturated sulfated bile salts were tentatively identified from male washings as 2 4-ene, a 1-ene, and a 1,4-diene analogs. These were synthesized to determine if they attracted ovulated female sea lampreys to spawning nests in natural streams. One of the novel synthetic bile salts, 3 keto-1-ene PZS, attracted ovulated females to the point of application at a concentration of 10-12 M. This study reveals the structural diversity of bile salts in sea lamprey, some of which have been demonstrated to be pheromonal cues.
","language":"English","publisher":"Kluwer Academic","publisherLocation":"New York, NY","doi":"10.1007/s10886-014-0511-4","usgsCitation":"Johnson, N., Yun, S., and Li, W., 2014, Investigations of novel unsaturated bile salts of male sea lamprey as potential chemical cues: Journal of Chemical Ecology, v. 40, no. 10, p. 1152-1160, https://doi.org/10.1007/s10886-014-0511-4.","productDescription":"10 p.","startPage":"1152","endPage":"1160","numberOfPages":"10","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-057156","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":305583,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"40","issue":"10","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationDate":"2014-10-30","publicationStatus":"PW","scienceBaseUri":"559ba6afe4b0b94a640170cc","contributors":{"authors":[{"text":"Johnson, Nicholas S. njohnson@usgs.gov","contributorId":145449,"corporation":false,"usgs":true,"family":"Johnson","given":"Nicholas S.","email":"njohnson@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":false,"id":564087,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Yun, Sang-Seon","contributorId":145455,"corporation":false,"usgs":false,"family":"Yun","given":"Sang-Seon","email":"","affiliations":[{"id":6601,"text":"Michigan State University","active":true,"usgs":false}],"preferred":false,"id":564088,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Li, Weiming","contributorId":65440,"corporation":false,"usgs":true,"family":"Li","given":"Weiming","affiliations":[],"preferred":false,"id":564089,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70117418,"text":"70117418 - 2014 - Developing and testing temperature models for regulated systems: a case study on the Upper Delaware River","interactions":[],"lastModifiedDate":"2017-07-21T14:52:40","indexId":"70117418","displayToPublicDate":"2014-10-01T13:39:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2342,"text":"Journal of Hydrology","active":true,"publicationSubtype":{"id":10}},"title":"Developing and testing temperature models for regulated systems: a case study on the Upper Delaware River","docAbstract":"Water temperature is an important driver of many processes in riverine ecosystems. If reservoirs are present, their releases can greatly influence downstream water temperatures. Models are important tools in understanding the influence these releases may have on the thermal regimes of downstream rivers. In this study, we developed and tested a suite of models to predict river temperature at a location downstream of two reservoirs in the Upper Delaware River (USA), a section of river that is managed to support a world-class coldwater fishery. Three empirical models were tested, including a Generalized Least Squares Model with a cosine trend (GLScos), AutoRegressive Integrated Moving Average (ARIMA), and Artificial Neural Network (ANN). We also tested one mechanistic Heat Flux Model (HFM) that was based on energy gain and loss. Predictor variables used in model development included climate data (e.g., solar radiation, wind speed, etc.) collected from a nearby weather station and temperature and hydrologic data from upstream U.S. Geological Survey gages. Models were developed with a training dataset that consisted of data from 2008 to 2011; they were then independently validated with a test dataset from 2012. Model accuracy was evaluated using root mean square error (RMSE), Nash Sutcliffe efficiency (NSE), percent bias (PBIAS), and index of agreement (d) statistics. Model forecast success was evaluated using baseline-modified prime index of agreement (md) at the one, three, and five day predictions. All five models accurately predicted daily mean river temperature across the entire training dataset (RMSE = 0.58–1.311, NSE = 0.99–0.97, d = 0.98–0.99); ARIMA was most accurate (RMSE = 0.57, NSE = 0.99), but each model, other than ARIMA, showed short periods of under- or over-predicting observed warmer temperatures. For the training dataset, all models besides ARIMA had overestimation bias (PBIAS = −0.10 to −1.30). Validation analyses showed all models performed well; the HFM model was the most accurate compared other models (RMSE = 0.92, both NSE = 0.98, d = 0.99) and the ARIMA model was least accurate (RMSE = 2.06, NSE = 0.92, d = 0.98); however, all models had an overestimation bias (PBIAS = −4.1 to −10.20). Aside from the one day forecast ARIMA model (md = 0.53), all models forecasted fairly well at the one, three, and five day forecasts (md = 0.77–0.96). Overall, we were successful in developing models predicting daily mean temperature across a broad range of temperatures. These models, specifically the GLScos, ANN, and HFM, may serve as important tools for predicting conditions and managing thermal releases in regulated river systems such as the Delaware River. Further model development may be important in customizing predictions for particular biological or ecological needs, or for particular temporal or spatial scales.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Hydrology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","doi":"10.1016/j.jhydrol.2014.07.058","usgsCitation":"Cole, J.C., Maloney, K.O., Schmid, M., and McKenna, J., 2014, Developing and testing temperature models for regulated systems: a case study on the Upper Delaware River: Journal of Hydrology, v. 519, no. Part A, p. 588-598, https://doi.org/10.1016/j.jhydrol.2014.07.058.","productDescription":"11 p.","startPage":"588","endPage":"598","ipdsId":"IP-054405","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":294719,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":294718,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.jhydrol.2014.07.058"}],"country":"United States","state":"Delaware, New York, Pennsylvania","otherGeospatial":"Delaware River","volume":"519","issue":"Part A","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"542d0989e4b092f17defc4d3","contributors":{"authors":[{"text":"Cole, Jeffrey C. 0000-0002-2477-7231 jccole@usgs.gov","orcid":"https://orcid.org/0000-0002-2477-7231","contributorId":5585,"corporation":false,"usgs":true,"family":"Cole","given":"Jeffrey","email":"jccole@usgs.gov","middleInitial":"C.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":495984,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Maloney, Kelly O. 0000-0003-2304-0745 kmaloney@usgs.gov","orcid":"https://orcid.org/0000-0003-2304-0745","contributorId":4636,"corporation":false,"usgs":true,"family":"Maloney","given":"Kelly","email":"kmaloney@usgs.gov","middleInitial":"O.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":495983,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Schmid, Matthias","contributorId":53714,"corporation":false,"usgs":true,"family":"Schmid","given":"Matthias","affiliations":[],"preferred":false,"id":495986,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"McKenna, James E. Jr.","contributorId":38486,"corporation":false,"usgs":true,"family":"McKenna","given":"James E.","suffix":"Jr.","affiliations":[],"preferred":false,"id":495985,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70044613,"text":"70044613 - 2014 - Carbonate margin, slope, and basin facies of the Lisburne Group (Carboniferous-Permian) in northern Alaska","interactions":[],"lastModifiedDate":"2018-10-25T16:44:25","indexId":"70044613","displayToPublicDate":"2014-10-01T13:34:57","publicationYear":"2014","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Carbonate margin, slope, and basin facies of the Lisburne Group (Carboniferous-Permian) in northern Alaska","docAbstract":"The Eastern fence lizard, Sceloporus undulatus, is widely distributed in eastern and central North America, ranging through areas with high levels of Lyme disease, as well as areas where Lyme disease is rare or absent. We studied the potential role of S. undulatus in transmission dynamics of Lyme spirochetes by sampling ticks from a variety of natural hosts at field sites in central New Jersey, and by testing the reservoir competence of S. undulatus for Borrelia burgdorferi in the laboratory. The infestation rate of ticks on fence lizards was extremely low (proportion infested = 0.087, n = 23) compared to that on white footed mice and other small mammals (proportion infested = 0.53, n = 140). Of 159 nymphs that had fed as larvae on lizards that had previously been exposed to infected nymphs, none was infected with B. burgdorferi, compared with 79.9% of 209 nymphs that had fed as larvae on infected control mice. Simulations suggest that changes in the numbers of fence lizards in a natural habitat would have little effect on the infection rate of nymphal ticks with Lyme spirochetes. We conclude that in central New Jersey S. undulatus plays a minimal role in the enzootic transmission cycle of Lyme spirochetes.
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