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","language":"English","publisher":"Springer","doi":"10.1007/s13146-012-0098-1","usgsCitation":"Doctor, D.H., and Doctor, K.Z., 2012, Spatial analysis of geologic and hydrologic features relating to sinkhole occurrence in Jefferson County, West Virginia: Carbonates and Evaporites, v. 27, no. 2, p. 143-152, https://doi.org/10.1007/s13146-012-0098-1.","productDescription":"10 p.","startPage":"143","endPage":"152","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-026639","costCenters":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"links":[{"id":325495,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"West Virginia","county":"Jefferson 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,{"id":70193553,"text":"70193553 - 2012 - Seawater capacitance – a promising proxy for mapping and characterizing drifting hydrocarbon plumes in the deep ocean","interactions":[],"lastModifiedDate":"2017-11-02T16:49:14","indexId":"70193553","displayToPublicDate":"2012-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5537,"text":"Ocean Science","active":true,"publicationSubtype":{"id":10}},"title":"Seawater capacitance – a promising proxy for mapping and characterizing drifting hydrocarbon plumes in the deep ocean","docAbstract":"Hydrocarbons released into the deep ocean are an inevitable consequence of natural seep, seafloor drilling, and leaking wellhead-to-collection-point pipelines. The Macondo 252 (Deepwater Horizon) well blowout of 2010 was even larger than the Ixtoc event in the Gulf of Campeche in 1979. History suggests it will not be the last accidental release, as deepwater drilling expands to meet an ever-growing demand. For those who must respond to this kind of disaster, the first line of action should be to know what is going on. This includes knowing where an oil plume is at any given time, where and how fast it is moving, and how it is evolving or degrading. We have experimented in the laboratory with induced polarization as a method to track hydrocarbons in the seawater column and find that finely dispersed oil in seawater gives rise to a large distributed capacitance. From previous sea trials, we infer this could potentially be used to both map and characterize oil plumes, down to a ratio of less than 0.001 oil-to-seawater, drifting and evolving in the deep ocean. A side benefit demonstrated in some earlier sea trials is that this same approach in modified form can also map certain heavy placer minerals, as well as communication cables, pipelines, and wrecks buried beneath the seafloor.
","language":"English","publisher":"EGU","doi":"10.5194/os-8-1099-2012","usgsCitation":"Wynn, J., and Fleming, J., 2012, Seawater capacitance – a promising proxy for mapping and characterizing drifting hydrocarbon plumes in the deep ocean: Ocean Science, v. 8, p. 1099-1104, https://doi.org/10.5194/os-8-1099-2012.","productDescription":"6 p.","startPage":"1099","endPage":"1104","ipdsId":"IP-036617","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":474631,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.5194/os-8-1099-2012","text":"Publisher Index Page"},{"id":348151,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"8","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2012-12-18","publicationStatus":"PW","scienceBaseUri":"59fc2eb1e4b0531197b28028","contributors":{"authors":[{"text":"Wynn, Jeff 0000-0002-8102-3882 jwynn@usgs.gov","orcid":"https://orcid.org/0000-0002-8102-3882","contributorId":2803,"corporation":false,"usgs":true,"family":"Wynn","given":"Jeff","email":"jwynn@usgs.gov","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":719347,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fleming, John A.","contributorId":199522,"corporation":false,"usgs":false,"family":"Fleming","given":"John A.","affiliations":[],"preferred":false,"id":719348,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}}
,{"id":70158612,"text":"70158612 - 2012 - Anguillidae: Freshwater eels","interactions":[],"lastModifiedDate":"2021-10-28T15:54:25.842805","indexId":"70158612","displayToPublicDate":"2012-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Anguillidae: Freshwater eels","docAbstract":"No abstract available.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"North american freshwater fishes: natural history, ecology, and conservation","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Johns Hopkins University Press","publisherLocation":"Baltimore, Md","usgsCitation":"Haro, A., 2012, Anguillidae: Freshwater eels, chap. of North american freshwater fishes: natural history, ecology, and conservation, p. 21-22.","productDescription":"2 p.","startPage":"21","endPage":"22","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-039301","costCenters":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"links":[{"id":309463,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"563494c8e4b048076347fbc6","contributors":{"editors":[{"text":"Warren, Melvin L. Jr.","contributorId":112298,"corporation":false,"usgs":true,"family":"Warren","given":"Melvin","suffix":"Jr.","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":576308,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Burr, Brooks M.","contributorId":146823,"corporation":false,"usgs":false,"family":"Burr","given":"Brooks","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":576309,"contributorType":{"id":2,"text":"Editors"},"rank":2}],"authors":[{"text":"Haro, Alexander 0000-0002-7188-9172 aharo@usgs.gov","orcid":"https://orcid.org/0000-0002-7188-9172","contributorId":139198,"corporation":false,"usgs":true,"family":"Haro","given":"Alexander","email":"aharo@usgs.gov","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":576307,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70176142,"text":"70176142 - 2012 - Assessment of two nonnative poeciliid fishes for monitoring selenium exposure in the endangered desert pupfish","interactions":[],"lastModifiedDate":"2017-05-03T13:15:48","indexId":"70176142","displayToPublicDate":"2012-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3728,"text":"Water, Air, & Soil Pollution","onlineIssn":"1573-2932","printIssn":"0049-6979","active":true,"publicationSubtype":{"id":10}},"title":"Assessment of two nonnative poeciliid fishes for monitoring selenium exposure in the endangered desert pupfish","docAbstract":"We assessed the suitability of two nonnative poeciliid fishes—western mosquitofish (Gambusia affinis) and sailfin mollies (Poecilia latipinna)—for monitoring selenium exposure in desert pupfish (Cyprinodon macularius). Our investigation was prompted by a need to avoid lethal take of an endangered species (pupfish) when sampling fish for chemical analysis. Total selenium (SeTot) concentrations in both poeciliids were highly correlated with SeTot concentrations in pupfish. However, mean SeTot concentrations varied among fish species, with higher concentrations measured in mosquitofish than in mollies and pupfish from one of three sampled agricultural drains. Moreover, regression equations describing the relationship of selenomethionine to SeTot differed between mosquitofish and pupfish, but not between mollies and pupfish. Because selenium accumulates in animals primarily through dietary exposure, we examined fish trophic relationships by measuring stable isotopes (δ13C and δ15N) and gut contents. According to δ13C measurements, the trophic pathway leading to mosquitofish was more carbon-depleted than trophic pathways leading to mollies and pupfish, suggesting that energy flow to mosquitofish originated from allochthonous sources (terrestrial vegetation, emergent macrophytes, or both), whereas energy flow to mollies and pupfish originated from autochthonous sources (filamentous algae, submerged macrophytes, or both). The δ15N measurements indicated that mosquitofish and mollies occupied similar trophic levels, whereas pupfish occupied a slightly higher trophic level. Analysis of gut contents showed that mosquitofish consumed mostly winged insects (an indication of terrestrial taxa), whereas mollies and pupfish consumed mostly organic detritus. Judging from our results, only mollies (not mosquitofish) are suitable for monitoring selenium exposure in pupfish.
","language":"English","publisher":"Kluwer Academic Publishers","doi":"10.1007/s11270-011-0974-7","usgsCitation":"Saiki, M.K., Martin, B.A., May, T.W., and Brumbaugh, W.G., 2012, Assessment of two nonnative poeciliid fishes for monitoring selenium exposure in the endangered desert pupfish: Water, Air, & Soil Pollution, v. 223, no. 4, p. 1671-1683, https://doi.org/10.1007/s11270-011-0974-7.","productDescription":"13 p.","startPage":"1671","endPage":"1683","ipdsId":"IP-025710","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":328022,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"223","issue":"4","noUsgsAuthors":false,"publicationDate":"2011-10-06","publicationStatus":"PW","scienceBaseUri":"57c6ae9de4b0f2f0cebe4101","contributors":{"authors":[{"text":"Saiki, Michael K.","contributorId":54671,"corporation":false,"usgs":true,"family":"Saiki","given":"Michael","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":647450,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Martin, Barbara A. 0000-0002-9415-6377 barbara_ann_martin@usgs.gov","orcid":"https://orcid.org/0000-0002-9415-6377","contributorId":2855,"corporation":false,"usgs":true,"family":"Martin","given":"Barbara","email":"barbara_ann_martin@usgs.gov","middleInitial":"A.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":647451,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"May, Thomas W. tmay@usgs.gov","contributorId":2598,"corporation":false,"usgs":true,"family":"May","given":"Thomas","email":"tmay@usgs.gov","middleInitial":"W.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":false,"id":647452,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Brumbaugh, William G. 0000-0003-0081-375X bbrumbaugh@usgs.gov","orcid":"https://orcid.org/0000-0003-0081-375X","contributorId":493,"corporation":false,"usgs":true,"family":"Brumbaugh","given":"William","email":"bbrumbaugh@usgs.gov","middleInitial":"G.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":647453,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70159028,"text":"70159028 - 2012 - Outlier reefs are found off the Florida Keys","interactions":[],"lastModifiedDate":"2023-11-27T16:15:25.747259","indexId":"70159028","displayToPublicDate":"2012-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Outlier reefs are found off the Florida Keys","docAbstract":"No abstract available.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Tropical connections: South Florida's marine environment","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"IAN Press","publisherLocation":"Cambridge, Md.","usgsCitation":"Lidz, B.H., 2012, Outlier reefs are found off the Florida Keys, chap. of Tropical connections: South Florida's marine environment, p. 197-198.","productDescription":"2 p.","startPage":"197","endPage":"198","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-022298","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":422969,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://ian.umces.edu/publications/tropical-connections-south-floridas-marine-environment/","linkFileType":{"id":5,"text":"html"}},{"id":309859,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Florida","otherGeospatial":"Florida Keys waters","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -80.255126953125,\n 25.477992320574817\n ],\n [\n -80.61767578124999,\n 25.015928763367857\n ],\n [\n -81.0406494140625,\n 24.856534339310674\n ],\n [\n -81.49658203125,\n 24.826624956562167\n ],\n [\n -81.8316650390625,\n 24.706915241066355\n ],\n [\n -81.9580078125,\n 24.666986385216273\n ],\n [\n -81.9854736328125,\n 24.48214938647425\n ],\n [\n -81.9415283203125,\n 24.402135566630744\n ],\n [\n -81.5185546875,\n 24.48214938647425\n ],\n [\n -80.7989501953125,\n 24.652009767778697\n ],\n [\n -80.386962890625,\n 24.956180020055925\n ],\n [\n -80.068359375,\n 25.339061458818374\n ],\n [\n -80.0738525390625,\n 25.507742380531404\n ],\n [\n -80.17822265625,\n 25.582085278700696\n ],\n [\n -80.255126953125,\n 25.562265014427492\n ],\n [\n -80.277099609375,\n 25.438314122211384\n ],\n [\n -80.255126953125,\n 25.477992320574817\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"561e2b38e4b0cdb063e59ce3","contributors":{"editors":[{"text":"Kruczynski, William L.","contributorId":148974,"corporation":false,"usgs":false,"family":"Kruczynski","given":"William","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":577310,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Fletcher, Pamela J.","contributorId":148975,"corporation":false,"usgs":false,"family":"Fletcher","given":"Pamela","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":577311,"contributorType":{"id":2,"text":"Editors"},"rank":2}],"authors":[{"text":"Lidz, Barbara H. blidz@usgs.gov","contributorId":2475,"corporation":false,"usgs":true,"family":"Lidz","given":"Barbara","email":"blidz@usgs.gov","middleInitial":"H.","affiliations":[],"preferred":true,"id":577309,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70044436,"text":"70044436 - 2012 - Large submarine sand waves and gravel lag substrates on Georges Bank off Atlantic Canada","interactions":[],"lastModifiedDate":"2015-08-31T11:45:34","indexId":"70044436","displayToPublicDate":"2012-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"chapter":"15","title":"Large submarine sand waves and gravel lag substrates on Georges Bank off Atlantic Canada","docAbstract":"Georges Bank is a large, shallow, continental shelf feature offshore of New England and Atlantic Canada. The bank is mantled with a veneer of glacial debris transported during the late Pleistocene from continental areas lying to the north. These sediments were reworked by marine processes during postglacial sea-level transgression and continue to be modified by the modern oceanic regime. The surficial geology of the Canadian portion of the bank is a widespread gravel lag overlain in places by well sorted sand occurring as bedforms. The most widespread bedforms are large, mobile, asymmetrical sand waves up to 19 m in height formed through sediment transport by strong tidal-driven and possibly storm-driven currents. Well-defined curvilinear bedform crests up to 15 km long form a complex bifurcating pattern having an overall southwest–northeast strike, which is normal to the direction of the major axis of the semidiurnal tidal current ellipse. Minor fields of immobile, symmetrical sand waves are situated in bathymetric lows. Rare mobile, asymmetrical barchan dunes are lying on the gravel lag in areas of low sand supply. On Georges Bank, the management of resources and habitats requires an understanding of the distribution of substrate types, their surface dynamics and susceptibility to movement, and their associated fauna.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Seafloor geomorphology as benthic habitat: GeoHab atlas of seafloor geomorphic features and benthic habitats,","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Elsevier","doi":"10.1016/B978-0-12-385140-6.00015-3","usgsCitation":"Todd, B., and Valentine, P.C., 2012, Large submarine sand waves and gravel lag substrates on Georges Bank off Atlantic Canada, chap. 15 of Seafloor geomorphology as benthic habitat: GeoHab atlas of seafloor geomorphic features and benthic habitats,, p. 261-275, https://doi.org/10.1016/B978-0-12-385140-6.00015-3.","productDescription":"15 p.","startPage":"261","endPage":"275","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-025529","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":307722,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, United States","otherGeospatial":"Georges Bank","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -64.072265625,\n 44.10336537791152\n ],\n [\n -65.14892578125,\n 43.36512572875844\n ],\n [\n -65.972900390625,\n 43.30919109985686\n ],\n [\n -67.48901367187499,\n 42.827638636242284\n ],\n [\n -69.01611328125,\n 41.84501267270692\n ],\n [\n -69.169921875,\n 41.37680856570233\n ],\n [\n -67.862548828125,\n 40.6723059714534\n ],\n [\n -66.324462890625,\n 40.538851525354666\n ],\n [\n -64.5556640625,\n 40.65563874006118\n ],\n [\n -63.599853515625,\n 41.00477542222949\n ],\n [\n -62.77587890625,\n 42.52069952914966\n ],\n [\n -62.75390625,\n 43.8899753738369\n ],\n [\n -62.75390625,\n 44.11125397357153\n ],\n [\n -64.072265625,\n 44.10336537791152\n ]\n ]\n ]\n }\n }\n ]\n}","tableOfContents":"
","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"55e57ab0e4b05561fa2086a5","contributors":{"editors":[{"text":"Harris, Peter T","contributorId":147206,"corporation":false,"usgs":false,"family":"Harris","given":"Peter","email":"","middleInitial":"T","affiliations":[],"preferred":false,"id":570762,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Baker, E.K.","contributorId":50675,"corporation":false,"usgs":true,"family":"Baker","given":"E.K.","email":"","affiliations":[],"preferred":false,"id":570763,"contributorType":{"id":2,"text":"Editors"},"rank":2}],"authors":[{"text":"Todd, B.J.","contributorId":120970,"corporation":false,"usgs":false,"family":"Todd","given":"B.J.","email":"","affiliations":[],"preferred":false,"id":517349,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Valentine, Page C. 0000-0002-0485-6266 pvalentine@usgs.gov","orcid":"https://orcid.org/0000-0002-0485-6266","contributorId":1947,"corporation":false,"usgs":true,"family":"Valentine","given":"Page","email":"pvalentine@usgs.gov","middleInitial":"C.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":570761,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70035397,"text":"70035397 - 2012 - Concentration, distribution, and translocation of mercury and methylmercury in mine-waste, sediment, soil, water, and fish collected near the Abbadia San Salvatore mercury mine, Monte Amiata district, Italy","interactions":[],"lastModifiedDate":"2013-04-21T19:37:12","indexId":"70035397","displayToPublicDate":"2012-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3352,"text":"Science of the Total Environment","active":true,"publicationSubtype":{"id":10}},"title":"Concentration, distribution, and translocation of mercury and methylmercury in mine-waste, sediment, soil, water, and fish collected near the Abbadia San Salvatore mercury mine, Monte Amiata district, Italy","docAbstract":"The distribution and translocation of mercury (Hg) was studied in the Paglia River ecosystem, located downstream from the inactive Abbadia San Salvatore mine (ASSM). The ASSM is part of the Monte Amiata Hg district, Southern Tuscany, Italy, which was one of the world’s largest Hg districts. Concentrations of Hg and methyl-Hg were determined in mine-waste calcine (retorted ore), sediment, water, soil, and freshwater fish collected from the ASSM and the downstream Paglia River. Concentrations of Hg in calcine samples ranged from 25 to 1500 μg/g, all of which exceeded the industrial soil contamination level for Hg of 5 μg/g used in Italy. Stream and lake sediment samples collected downstream from the ASSM ranged in Hg concentration from 0.26 to 15 μg/g, of which more than 50% exceeded the probable effect concentration for Hg of 1.06 μg/g, the concentration above which harmful effects are likely to be observed in sediment-dwelling organisms. Stream and lake sediment methyl-Hg concentrations showed a significant correlation with TOC indicating considerable methylation and potential bioavailability of Hg. Stream water contained Hg as high as 1400 ng/L, but only one water sample exceeded the 1000 ng/L drinking water Hg standard used in Italy. Concentrations of Hg were elevated in freshwater fish muscle samples and ranged from 0.16 to 1.2 μg/g (wet weight), averaged 0.84 μg/g, and 96% of these exceeded the 0.3 μg/g (methyl-Hg, wet weight) USEPA fish muscle standard recommended to protect human health. Analysis of fish muscle for methyl-Hg confirmed that > 90% of the Hg in these fish is methyl-Hg. Such highly elevated Hg concentrations in fish indicated active methylation, significant bioavailability, and uptake of Hg by fish in the Paglia River ecosystem. Methyl-Hg is highly toxic and the high Hg concentrations in these fish represent a potential pathway of Hg to the human food chain.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Science of the Total Environment","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","publisherLocation":"Amsterdam, Netherlands","doi":"10.1016/j.scitotenv.2011.10.065","issn":"00489697","usgsCitation":"Rimondi, V., Gray, J.E., Costagliola, P., Vaselli, O., and Lattanzi, P., 2012, Concentration, distribution, and translocation of mercury and methylmercury in mine-waste, sediment, soil, water, and fish collected near the Abbadia San Salvatore mercury mine, Monte Amiata district, Italy: Science of the Total Environment, v. 414, p. 318-327, https://doi.org/10.1016/j.scitotenv.2011.10.065.","productDescription":"10 p.","startPage":"318","endPage":"327","costCenters":[],"links":[{"id":243049,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":215259,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.scitotenv.2011.10.065"}],"country":"Italy","county":"Monte Amiata","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ 6.6,35.3 ], [ 6.6,47.1 ], [ 18.8,47.1 ], [ 18.8,35.3 ], [ 6.6,35.3 ] ] ] } } ] }","volume":"414","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5059f981e4b0c8380cd4d641","contributors":{"authors":[{"text":"Rimondi, V.","contributorId":28820,"corporation":false,"usgs":true,"family":"Rimondi","given":"V.","affiliations":[],"preferred":false,"id":450457,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gray, J. E.","contributorId":49363,"corporation":false,"usgs":true,"family":"Gray","given":"J.","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":450459,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Costagliola, P.","contributorId":86988,"corporation":false,"usgs":true,"family":"Costagliola","given":"P.","affiliations":[],"preferred":false,"id":450460,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Vaselli, O.","contributorId":93647,"corporation":false,"usgs":true,"family":"Vaselli","given":"O.","affiliations":[],"preferred":false,"id":450461,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Lattanzi, P.","contributorId":40034,"corporation":false,"usgs":true,"family":"Lattanzi","given":"P.","affiliations":[],"preferred":false,"id":450458,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70173603,"text":"70173603 - 2012 - Native rainbow smelt and nonnative alewife distribution related to temperature and light gradients in Lake Champlain","interactions":[],"lastModifiedDate":"2016-06-07T16:04:12","indexId":"70173603","displayToPublicDate":"2012-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2330,"text":"Journal of Great Lakes Research","active":true,"publicationSubtype":{"id":10}},"title":"Native rainbow smelt and nonnative alewife distribution related to temperature and light gradients in Lake Champlain","docAbstract":"Alewife (Alosa pseudoharengus) recently became established in Lake Champlain and may compete with native rainbow smelt (Osmerus mordax) for food or consume larval rainbow smelt. The strength of this effect depends partly on the spatial and temporal overlap of different age groups of the two species; therefore, we need a better understanding of factors affecting alewife and rainbow smelt distributions in Lake Champlain. We used hydroacoustics, trawls, and gill nets to document vertical fish distribution, and recorded environmental data during 16 day–night surveys over two years. Temperature, temperature change, and light were all predictors of adult and age-0 rainbow smelt distribution, and temperature and light were predictors of age-0 alewives' distribution (based on GAMM models evaluated with AIC). Adult alewives were 5–30 m shallower and age-0 alewives were 2–15 m shallower than their rainbow smelt counterparts. Adult rainbow smelt distribution overlapped with age-0 rainbow smelt and age-0 alewives near the thermocline (10–25 m), whereas adult alewives were shallower (0–6 m) and overlapped with age-0 alewives and rainbow smelt in the epilimnion. Adult rainbow smelt were in water < 10–12 °C, whereas age-0 rainbow smelt were in 10–20 °C, and adult and age-0 alewives were in 15–22 °C water. Predicting these species distributions is necessary for quantifying the strength of predatory and competitive interactions between alewife and rainbow smelt, as well as between alewife and other fish species in Lake Champlain.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.jglr.2011.06.002","usgsCitation":"Parrish, D.L., Simonin, P.W., Rudstam, L.G., Sullivan, P., and Pientka, B., 2012, Native rainbow smelt and nonnative alewife distribution related to temperature and light gradients in Lake Champlain: Journal of Great Lakes Research, v. 38, no. 1, p. 115-122, https://doi.org/10.1016/j.jglr.2011.06.002.","productDescription":"8 p.","startPage":"115","endPage":"122","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-025329","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":323221,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Vermont","otherGeospatial":"Lake Champlain","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -73.22250366210938,\n 44.457309801319305\n ],\n [\n -73.29391479492188,\n 44.46025037930627\n ],\n [\n -73.33511352539062,\n 44.3670601700202\n ],\n [\n -73.21563720703125,\n 44.37196862007497\n ],\n [\n -73.21975708007812,\n 44.449467536006935\n ],\n [\n -73.22250366210938,\n 44.457309801319305\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"38","issue":"1","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5757f062e4b04f417c24dcf6","contributors":{"authors":[{"text":"Parrish, Donna L. 0000-0001-9693-6329 dparrish@usgs.gov","orcid":"https://orcid.org/0000-0001-9693-6329","contributorId":138661,"corporation":false,"usgs":true,"family":"Parrish","given":"Donna","email":"dparrish@usgs.gov","middleInitial":"L.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":637392,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Simonin, Paul W.","contributorId":171499,"corporation":false,"usgs":false,"family":"Simonin","given":"Paul","email":"","middleInitial":"W.","affiliations":[{"id":18160,"text":"Rubenstein School of Environment and Natural Resources, University of Vermont","active":true,"usgs":false}],"preferred":false,"id":637741,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rudstam, Lars G.","contributorId":56609,"corporation":false,"usgs":false,"family":"Rudstam","given":"Lars","email":"","middleInitial":"G.","affiliations":[{"id":12722,"text":"Cornell University","active":true,"usgs":false}],"preferred":false,"id":637742,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Sullivan, Patrick J.","contributorId":97813,"corporation":false,"usgs":true,"family":"Sullivan","given":"Patrick J.","affiliations":[],"preferred":false,"id":637743,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Pientka, Bernard","contributorId":171500,"corporation":false,"usgs":false,"family":"Pientka","given":"Bernard","email":"","affiliations":[],"preferred":false,"id":637744,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70157179,"text":"70157179 - 2012 - The Vegetation Drought Response Index (VegDRI): An integration of satellite, climate, and biophysical data","interactions":[],"lastModifiedDate":"2017-04-25T16:35:02","indexId":"70157179","displayToPublicDate":"2012-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"The Vegetation Drought Response Index (VegDRI): An integration of satellite, climate, and biophysical data","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Remote sensing of drought: innovative monitoring approaches","language":"English","publisher":"CRC Press","publisherLocation":"Boca Raton, FL","usgsCitation":"Wardlow, B.D., Tadesse, T., Brown, J.F., Callahan, K., Swain, S., and Hunt, E., 2012, The Vegetation Drought Response Index (VegDRI): An integration of satellite, climate, and biophysical data, chap. of Remote sensing of drought: innovative monitoring approaches, p. 51-74.","productDescription":"24 p.","startPage":"51","endPage":"74","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-023840","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":308082,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"560bb708e4b058f706e53ef7","contributors":{"editors":[{"text":"Wardlow, Brian D.","contributorId":75845,"corporation":false,"usgs":true,"family":"Wardlow","given":"Brian","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":572165,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Anderson, Martha C.","contributorId":96579,"corporation":false,"usgs":false,"family":"Anderson","given":"Martha","email":"","middleInitial":"C.","affiliations":[{"id":6622,"text":"US Department of Agriculture","active":true,"usgs":false}],"preferred":false,"id":572166,"contributorType":{"id":2,"text":"Editors"},"rank":2},{"text":"Verdin, James P. 0000-0003-0238-9657 verdin@usgs.gov","orcid":"https://orcid.org/0000-0003-0238-9657","contributorId":720,"corporation":false,"usgs":true,"family":"Verdin","given":"James","email":"verdin@usgs.gov","middleInitial":"P.","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":false,"id":572167,"contributorType":{"id":2,"text":"Editors"},"rank":3}],"authors":[{"text":"Wardlow, Brian D.","contributorId":75845,"corporation":false,"usgs":true,"family":"Wardlow","given":"Brian","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":572159,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Tadesse, Tsegaye 0000-0002-4102-1137","orcid":"https://orcid.org/0000-0002-4102-1137","contributorId":147617,"corporation":false,"usgs":false,"family":"Tadesse","given":"Tsegaye","email":"","affiliations":[],"preferred":false,"id":572160,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Brown, Jesslyn F. 0000-0002-9976-1998 jfbrown@usgs.gov","orcid":"https://orcid.org/0000-0002-9976-1998","contributorId":3241,"corporation":false,"usgs":true,"family":"Brown","given":"Jesslyn","email":"jfbrown@usgs.gov","middleInitial":"F.","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":false,"id":572161,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Callahan, Karin","contributorId":147618,"corporation":false,"usgs":false,"family":"Callahan","given":"Karin","email":"","affiliations":[],"preferred":false,"id":572162,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Swain, Sharmistha","contributorId":147619,"corporation":false,"usgs":false,"family":"Swain","given":"Sharmistha","email":"","affiliations":[],"preferred":false,"id":572163,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hunt, Eric","contributorId":147620,"corporation":false,"usgs":false,"family":"Hunt","given":"Eric","email":"","affiliations":[],"preferred":false,"id":572164,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70035458,"text":"70035458 - 2012 - Geochemical constraints on adakites of different origins and copper mineralization","interactions":[],"lastModifiedDate":"2020-11-13T20:05:13.127307","indexId":"70035458","displayToPublicDate":"2012-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2309,"text":"Journal of Geology","active":true,"publicationSubtype":{"id":10}},"title":"Geochemical constraints on adakites of different origins and copper mineralization","docAbstract":"The petrogenesis of adakites holds important clues to the formation of the continental crust and copper ± gold porphyry mineralization. However, it remains highly debated as to whether adakites form by slab melting, by partial melting of the lower continental crust, or by fractional crystallization of normal arc magmas. Here, we show that to form adakitic signature, partial melting of a subducting oceanic slab would require high pressure at depths of >50 km, whereas partial melting of the lower continental crust would require the presence of plagioclase and thus shallower depths and additional water. These two types of adakites can be discriminated using geochemical indexes. Compiled data show that adakites from circum-Pacific regions, which have close affinity to subduction of young hot oceanic plate, can be clearly discriminated from adakites from the Dabie Mountains and the Tibetan Plateau, which have been attributed to partial melting of continental crust, in Sr/Y-versus-La/Yb diagram. Given that oceanic crust has copper concentrations about two times higher than those in the continental crust, whereas the high oxygen fugacity in the subduction environment promotes the release of copper during partial melting, slab melting provides the most efficient mechanism to concentrate copper and gold; slab melts would be more than two times greater in copper (and also gold) concentrations than lower continental crust melts and normal arc magmas. Thus, identification of slab melt adakites is important for predicting exploration targets for copper- and gold-porphyry ore deposits. This explains the close association of ridge subduction with large porphyry copper deposits because ridge subduction is the most favorable place for slab melting.
","language":"English","publisher":"The University of Chicago Press Books","doi":"10.1086/662736","issn":"00221376","usgsCitation":"Sun, W., Ling, M., Chung, S., Ding, X., Yang, X., Liang, H., Fan, W., Goldfarb, R., and Yin, Q., 2012, Geochemical constraints on adakites of different origins and copper mineralization: Journal of Geology, v. 120, no. 1, p. 105-120, https://doi.org/10.1086/662736.","productDescription":"16 p.","startPage":"105","endPage":"120","costCenters":[],"links":[{"id":243369,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":215557,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1086/662736"}],"country":"China","otherGeospatial":"Dabie Mountains and the Tibetan Plateau","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n 101.513671875,\n 22.43134015636061\n ],\n [\n 108.720703125,\n 25.958044673317843\n ],\n [\n 107.57812499999999,\n 30.600093873550072\n ],\n [\n 102.65625,\n 31.50362930577303\n ],\n [\n 99.49218749999999,\n 29.152161283318915\n ],\n [\n 99.580078125,\n 25.64152637306577\n ],\n [\n 101.513671875,\n 22.43134015636061\n ]\n ]\n ]\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n 107.57812499999999,\n 40.713955826286046\n ],\n [\n 104.765625,\n 35.746512259918504\n ],\n [\n 106.171875,\n 33.137551192346145\n ],\n [\n 112.1484375,\n 32.24997445586331\n ],\n [\n 114.9609375,\n 35.746512259918504\n ],\n [\n 114.9609375,\n 40.17887331434696\n ],\n [\n 112.8515625,\n 42.8115217450979\n ],\n [\n 107.57812499999999,\n 40.713955826286046\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"120","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a15f5e4b0c8380cd54fd6","contributors":{"authors":[{"text":"Sun, W.-D.","contributorId":14658,"corporation":false,"usgs":true,"family":"Sun","given":"W.-D.","email":"","affiliations":[],"preferred":false,"id":450761,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ling, M.-X.","contributorId":69382,"corporation":false,"usgs":true,"family":"Ling","given":"M.-X.","email":"","affiliations":[],"preferred":false,"id":450766,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Chung, S.-L.","contributorId":27697,"corporation":false,"usgs":true,"family":"Chung","given":"S.-L.","email":"","affiliations":[],"preferred":false,"id":450762,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ding, X.","contributorId":49990,"corporation":false,"usgs":true,"family":"Ding","given":"X.","email":"","affiliations":[],"preferred":false,"id":450764,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Yang, X.-Y.","contributorId":9489,"corporation":false,"usgs":true,"family":"Yang","given":"X.-Y.","email":"","affiliations":[],"preferred":false,"id":450760,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Liang, H.-Y.","contributorId":88576,"corporation":false,"usgs":true,"family":"Liang","given":"H.-Y.","email":"","affiliations":[],"preferred":false,"id":450767,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Fan, W.-M.","contributorId":100217,"corporation":false,"usgs":true,"family":"Fan","given":"W.-M.","email":"","affiliations":[],"preferred":false,"id":450768,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Goldfarb, R.","contributorId":43113,"corporation":false,"usgs":true,"family":"Goldfarb","given":"R.","email":"","affiliations":[],"preferred":false,"id":450763,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Yin, Q.-Z.","contributorId":64056,"corporation":false,"usgs":true,"family":"Yin","given":"Q.-Z.","email":"","affiliations":[],"preferred":false,"id":450765,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70156827,"text":"70156827 - 2012 - Loss and modification of habitat","interactions":[],"lastModifiedDate":"2017-11-22T16:19:02","indexId":"70156827","displayToPublicDate":"2012-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Loss and modification of habitat","docAbstract":"Amphibians live in a wide variety of habitats around the world, many of which have been modified or destroyed by human activities. Most species have unique life history characteristics adapted to specific climates, habitats (e.g., lentic, lotic, terrestrial, arboreal, fossorial, amphibious), and local conditions that provide suitable areas for reproduction, development and growth, shelter from environmental extremes, and predation, as well as connectivity to other populations or habitats. Although some species are entirely aquatic or terrestrial, most amphibians, as their name implies, lead a dual life and require a mosaic of habitats in both aquatic and terrestrial ecosystems. With over 6 billion people on Earth, most species are now persisting in habitats that have been directly or indirectly influenced by human activities. Some species have disappeared where their habitats have been completely destroyed, reduced, or rendered unsuitable. Habitat loss and degradation are widely considered by most researchers as the most important causes of amphibian population decline globally (Barinaga 1990; Wake and Morowitz 1991; Alford and Richards 1999). In this chapter, a background on the diverse habitat requirements of amphibians is provided, followed by a discussion of the effects of urbanization, agriculture, livestock grazing, timber production and harvesting, fire and hazardous fuel management, and roads on amphibians and their habitats. Also briefly discussed is the influence on amphibian habitats of natural disturbances, such as extreme weather events and climate change, given the potential for human activities to impact climate in the longer term. For amphibians in general, microhabitats are of greater importance than for other vertebrates. As ectotherms with a skin that is permeable to water and with naked gelatinous eggs, amphibians are physiologically constrained to be active during environmental conditions that provide appropriate body temperatures and adequate water balance (Thorson and Svihla 1943; Brattstrom 1963; Tracy 1976). Hence, individuals require and seek specific microhabitats that maintain their preferred body temperature while at the same time reducing water loss or allowing individuals to re-hydrate. Amphibians also possess relatively few physical attributes that protect them from predators. Although they may avoid predators behaviourally or deter them by skin toxins, amphibians lack defensive shells or hardened cuticles, do not have protective teeth or claws, and most are insufficiently fast to escape predators. Hence, they are relatively dependent on sites that conceal or protect them from predation. Most amphibians also differ significantly from other vertebrates in possessing a complex two-phase life cycle: the pre-metamorphic larval (tadpole) stage and the post-metamorphic juvenile and adult stage (Wilbur 1980, 1984). Most amphibian species have two distinct econes (Heatwole 1989), each with different habitat requirements, the larvae being aquatic and the post-metamorphic animals more terrestrial. The habitats required by the two phases can differ greatly, but both are essential to the survival of a species. However, amphibian diversity is great and exceptions to this general pattern exist. For example, some species have direct development without going through a larval stage and are fully terrestrial, whereas the larvae of other species can reach sexual maturity without going through metamorphosis (i.e., neoteny) and are fully aquatic.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Conservation and decline of amphibians: ecological aspects, effect of humans, and management","language":"English","publisher":"Surrey Beatty","usgsCitation":"Lemckert, F., Hecnar, S., and Pilliod, D., 2012, Loss and modification of habitat, chap. of Conservation and decline of amphibians: ecological aspects, effect of humans, and management.","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":307701,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"55e18636e4b05561fa206acb","contributors":{"editors":[{"text":"Wilkinson, John W.","contributorId":147014,"corporation":false,"usgs":false,"family":"Wilkinson","given":"John","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":570726,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Heatwole, Harold","contributorId":147199,"corporation":false,"usgs":false,"family":"Heatwole","given":"Harold","email":"","affiliations":[],"preferred":false,"id":570727,"contributorType":{"id":2,"text":"Editors"},"rank":2}],"authors":[{"text":"Lemckert, Francis","contributorId":147197,"corporation":false,"usgs":false,"family":"Lemckert","given":"Francis","email":"","affiliations":[],"preferred":false,"id":570723,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hecnar, Stephen","contributorId":147198,"corporation":false,"usgs":false,"family":"Hecnar","given":"Stephen","email":"","affiliations":[],"preferred":false,"id":570724,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Pilliod, David S. 0000-0003-4207-3518 dpilliod@usgs.gov","orcid":"https://orcid.org/0000-0003-4207-3518","contributorId":161,"corporation":false,"usgs":true,"family":"Pilliod","given":"David S.","email":"dpilliod@usgs.gov","affiliations":[{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true}],"preferred":false,"id":570725,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70042436,"text":"70042436 - 2012 - Land-cover change detection","interactions":[],"lastModifiedDate":"2017-01-18T13:41:55","indexId":"70042436","displayToPublicDate":"2012-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"chapter":"11","title":"Land-cover change detection","docAbstract":"Land cover is the biophysical material on the surface of the earth. Land-cover types include grass, shrubs, trees, barren, water, and man-made features. Land cover changes continuously. The rate of change can be either dramatic and abrupt, such as the changes caused by logging, hurricanes and fire, or subtle and gradual, such as regeneration of forests and damage caused by insects (Verbesselt et al., 2001). Previous studies have shown that land cover has changed dramatically during the past sevearal centuries and that these changes have severely affected our ecosystems (Foody, 2010; Lambin et al., 2001). Lambin and Strahlers (1994b) summarized five types of cause for land-cover changes: (1) long-term natural changes in climate conditions, (2) geomorphological and ecological processes, (3) human-induced alterations of vegetation cover and landscapes, (4) interannual climate variability, and (5) human-induced greenhouse effect. Tools and techniques are needed to detect, describe, and predict these changes to facilitate sustainable management of natural resources.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Remote Sensing of Land Use and Land Cover","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"CRC Press","doi":"10.1201/b11964-14","isbn":"978-1-4200-7074-3","usgsCitation":"Chen, X., Giri, C., and Vogelmann, J., 2012, Land-cover change detection, chap. 11 of Remote Sensing of Land Use and Land Cover, p. 153-176, https://doi.org/10.1201/b11964-14.","productDescription":"23 p.","startPage":"153","endPage":"176","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-031500","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":307693,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"UNITED STATES","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"55e18634e4b05561fa206ac7","contributors":{"authors":[{"text":"Chen, Xuexia","contributorId":14213,"corporation":false,"usgs":true,"family":"Chen","given":"Xuexia","affiliations":[],"preferred":false,"id":570686,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Giri, Chandra cgiri@usgs.gov","contributorId":2403,"corporation":false,"usgs":true,"family":"Giri","given":"Chandra","email":"cgiri@usgs.gov","affiliations":[{"id":595,"text":"U.S. Geological Survey","active":false,"usgs":true}],"preferred":false,"id":570687,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Vogelmann, James 0000-0002-0804-5823 vogel@usgs.gov","orcid":"https://orcid.org/0000-0002-0804-5823","contributorId":127752,"corporation":false,"usgs":true,"family":"Vogelmann","given":"James","email":"vogel@usgs.gov","affiliations":[{"id":595,"text":"U.S. Geological Survey","active":false,"usgs":true}],"preferred":false,"id":570688,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70035329,"text":"70035329 - 2012 - Seasonal habitat use and selection by grizzly bears in Northern British Columbia","interactions":[],"lastModifiedDate":"2020-11-23T18:10:27.798936","indexId":"70035329","displayToPublicDate":"2012-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2508,"text":"Journal of Wildlife Management","active":true,"publicationSubtype":{"id":10}},"title":"Seasonal habitat use and selection by grizzly bears in Northern British Columbia","docAbstract":"We defined patterns of habitat use and selection by female grizzly bears (Ursus arctos) in the Besa-Prophet watershed of northern British Columbia. We fitted 13 adult females with Geographic Positioning System (GPS) radio-collars and monitored them between 2001 and 2004. We examined patterns of habitat selection by grizzly bears relative to topographical attributes and 3 potential surrogates of food availability: land-cover class, vegetation biomass or quality (as measured by the Normalized Difference Vegetation Index), and selection value for prey species themselves (moose [Alces alces], elk [Cervus elaphus], woodland caribou [Rangifer tarandus]. Stone's sheep [Ovis dalli stonei]). Although vegetation biomass and quality, and selection values for prey were important in seasonal selection by some individual bears, land-cover class, elevation, aspect, and vegetation diversity most influenced patterns of habitat selection across grizzly bears, which rely on availability of plant foods and encounters with ungulate prey. Grizzly bears as a group avoided conifer stands and areas of low vegetation diversity, and selected for burned land-cover classes and high vegetation diversity across seasons. They also selected mid elevations from what was available within seasonal ranges. Quantifying relative use of different attributes helped place selection patterns within the context of the landscape. Grizzly bears used higher elevations (1,595 ± 31 m SE) in spring and lower elevations (1,436 ± 27 m) in fall; the range of average elevations used among individuals was highest (500 m) during the summer. During all seasons, grizzly bears most frequented aspects with high solar gain. Use was distributed across 10 land-cover classes and depended on season. Management and conservation actions must maintain a diverse habitat matrix distributed across a large elevational gradient to ensure persistence of grizzly bears as levels of human access increase in the northern Rocky Mountains.
","language":"English","publisher":"The Wildlife Society","doi":"10.1002/jwmg.235","issn":"0022541X","usgsCitation":"Milakovic, B., Parker, K., Gustine, D., Lay, R., Walker, A., and Gillingham, M., 2012, Seasonal habitat use and selection by grizzly bears in Northern British Columbia: Journal of Wildlife Management, v. 76, no. 1, p. 170-180, https://doi.org/10.1002/jwmg.235.","productDescription":"11 p.","startPage":"170","endPage":"180","costCenters":[],"links":[{"id":474832,"rank":10000,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/jwmg.235","text":"Publisher Index Page"},{"id":242975,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":215192,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1002/jwmg.235"}],"country":"Canada","otherGeospatial":"Northern British Columbia","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -120.05859375,\n 59.88893689676585\n ],\n [\n -139.04296875,\n 60.1524422143808\n ],\n [\n -134.47265625,\n 56.36525013685606\n ],\n [\n -130.60546875,\n 54.16243396806779\n ],\n [\n -120.32226562500001,\n 53.85252660044951\n ],\n [\n -120.05859375,\n 59.88893689676585\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"76","issue":"1","noUsgsAuthors":false,"publicationDate":"2011-09-21","publicationStatus":"PW","scienceBaseUri":"505b88aee4b08c986b316ad9","contributors":{"authors":[{"text":"Milakovic, B.","contributorId":100618,"corporation":false,"usgs":true,"family":"Milakovic","given":"B.","email":"","affiliations":[],"preferred":false,"id":450215,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Parker, K.L.","contributorId":102280,"corporation":false,"usgs":true,"family":"Parker","given":"K.L.","email":"","affiliations":[],"preferred":false,"id":450216,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gustine, D.D.","contributorId":82536,"corporation":false,"usgs":true,"family":"Gustine","given":"D.D.","email":"","affiliations":[],"preferred":false,"id":450213,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lay, R.J.","contributorId":49986,"corporation":false,"usgs":true,"family":"Lay","given":"R.J.","email":"","affiliations":[],"preferred":false,"id":450211,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Walker, A.B.D.","contributorId":84169,"corporation":false,"usgs":true,"family":"Walker","given":"A.B.D.","email":"","affiliations":[],"preferred":false,"id":450214,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Gillingham, M.P.","contributorId":76555,"corporation":false,"usgs":true,"family":"Gillingham","given":"M.P.","email":"","affiliations":[],"preferred":false,"id":450212,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70157425,"text":"70157425 - 2012 - Plant diversity and fire","interactions":[],"lastModifiedDate":"2021-11-10T16:55:04.565469","indexId":"70157425","displayToPublicDate":"2012-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Plant diversity and fire","docAbstract":"No abstract available.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Fire in Mediterranean ecosystems: Ecology, evolution and management","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Cambridge University Press","publisherLocation":"Cambridge, UK","usgsCitation":"Keeley, J.E., Bond, W.J., Bradstock, R.A., Pausas, J.G., and Rundel, P.W., 2012, Plant diversity and fire, chap. of Fire in Mediterranean ecosystems: Ecology, evolution and management, p. 310-329.","productDescription":"20 p.","startPage":"310","endPage":"329","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-018789","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":308412,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"56027c24e4b03bc34f54486f","contributors":{"authors":[{"text":"Keeley, Jon E. 0000-0002-4564-6521 jon_keeley@usgs.gov","orcid":"https://orcid.org/0000-0002-4564-6521","contributorId":1268,"corporation":false,"usgs":true,"family":"Keeley","given":"Jon","email":"jon_keeley@usgs.gov","middleInitial":"E.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":573127,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bond, William J.","contributorId":81621,"corporation":false,"usgs":false,"family":"Bond","given":"William","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":573128,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bradstock, Ross A.","contributorId":42826,"corporation":false,"usgs":false,"family":"Bradstock","given":"Ross","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":573129,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Pausas, Juli G.","contributorId":91347,"corporation":false,"usgs":true,"family":"Pausas","given":"Juli","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":573130,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Rundel, Philip W.","contributorId":107552,"corporation":false,"usgs":true,"family":"Rundel","given":"Philip","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":573131,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70044132,"text":"70044132 - 2012 - Digital outcrop model of stratigraphy and breccias of the southern Franklin Mountains, El Paso, Texas","interactions":[],"lastModifiedDate":"2020-09-11T18:41:20.076485","indexId":"70044132","displayToPublicDate":"2012-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"seriesTitle":{"id":606,"text":"AAPG Memoir","active":true,"publicationSubtype":{"id":10}},"title":"Digital outcrop model of stratigraphy and breccias of the southern Franklin Mountains, El Paso, Texas","docAbstract":"This chapter reviews and synthesizes the lithostratigraphy, biostratigraphy, chronostratigraphy, and breccia types of the southwestern part of the great American carbonate bank in the southern Franklin Mountains (SFM), El Paso, Texas. Primary stratigraphic units of focus are the Lower Ordovician El Paso and Upper Ordovician Montoya Groups. These groups preserve breccias formed by collapse of a paleocave system. Precambrian and Silurian units are discussed in the context of breccia clast composition and relative timing of breccia emplacement. Specific attention is paid to the juxtaposition of the top-Sauk second-order supersequence unconformity between the El Paso and Montoya Groups and its relationship to breccias above and below it. The unconformity represents a 10-m.y. exposure event that separates Upper and Lower Ordovician carbonates. The top-Sauk exposure has been previously documented as a significant karst horizon across much of North America.
The breccias of the SFM were previously described as the result of collapsed paleocaves that formed during subaerial exposure related to the Sauk-Tippecanoe unconformity. A new approach in this work uses traditional field mapping combined with high-resolution (![\"lt\"](\"http://archives.datapages.com/data/specpubs/memoir98/CHAPTER36/IMAGES/LT.JPG\")
1-m [3.3-ft] point spacing) airborne light detection and ranging (LIDAR) data over 24 km2 (9 mi2) to map breccia and relevant stratal surfaces. Airborne LIDAR data were used to create a digital outcrop model of the SFM from which a detailed (1:2000 scale) geologic map was created. The geologic map includes formation, fault, and breccia contacts. The digital outcrop model was used to interpret three-dimensional spatial relationships of breccia bodies with respect to the current understanding of the tectonic and stratigraphic evolution of the SFM. The data presented here are used to discuss potential stratigraphic, temporal, and tectonic controls on the formation of caves within the study area that eventually collapsed to form the breccias currently exposed in outcrop.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"The great American carbonate bank: The geology and economic resources of the Cambrian-Ordovician Sauk megasequence of Laurentia","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"AAPG","publisherLocation":"Tulsa, OK","doi":"10.1306/13331521M983516","usgsCitation":"Bellian, J.A., Kerans, C., and Repetski, J.E., 2012, Digital outcrop model of stratigraphy and breccias of the southern Franklin Mountains, El Paso, Texas, chap. of The great American carbonate bank: The geology and economic resources of the Cambrian-Ordovician Sauk megasequence of Laurentia: AAPG Memoir, v. 98, p. 909-939, https://doi.org/10.1306/13331521M983516.","productDescription":"31 p.","startPage":"909","endPage":"939","numberOfPages":"31","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-042949","costCenters":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"links":[{"id":270970,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":298191,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://archives.datapages.com/data/specpubs/memoir98/CHAPTER36/CHAPTER36.HTM"}],"country":"United States","state":"Texas","city":"El Paso","otherGeospatial":"Franklin Mountains","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -106.56944274902344,\n 31.766121200173643\n ],\n [\n -106.56944274902344,\n 31.99875937194732\n ],\n [\n -106.43074035644531,\n 31.99875937194732\n ],\n [\n -106.43074035644531,\n 31.766121200173643\n ],\n [\n -106.56944274902344,\n 31.766121200173643\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"98","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"516e64d8e4b00154e4368b5b","contributors":{"editors":[{"text":"Derby, James R.","contributorId":68207,"corporation":false,"usgs":false,"family":"Derby","given":"James","email":"","middleInitial":"R.","affiliations":[{"id":13326,"text":"The University of Tulsa","active":true,"usgs":false}],"preferred":false,"id":509234,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Fritz, R.D.","contributorId":113600,"corporation":false,"usgs":true,"family":"Fritz","given":"R.D.","email":"","affiliations":[],"preferred":false,"id":509237,"contributorType":{"id":2,"text":"Editors"},"rank":2},{"text":"Longacre, S.A.","contributorId":112394,"corporation":false,"usgs":true,"family":"Longacre","given":"S.A.","email":"","affiliations":[],"preferred":false,"id":509235,"contributorType":{"id":2,"text":"Editors"},"rank":3},{"text":"Morgan, W.A.","contributorId":21228,"corporation":false,"usgs":true,"family":"Morgan","given":"W.A.","email":"","affiliations":[],"preferred":false,"id":509233,"contributorType":{"id":2,"text":"Editors"},"rank":4},{"text":"Sternbach, C.A.","contributorId":113505,"corporation":false,"usgs":true,"family":"Sternbach","given":"C.A.","email":"","affiliations":[],"preferred":false,"id":509236,"contributorType":{"id":2,"text":"Editors"},"rank":5}],"authors":[{"text":"Bellian, Jerome A.","contributorId":139515,"corporation":false,"usgs":false,"family":"Bellian","given":"Jerome","email":"","middleInitial":"A.","affiliations":[{"id":12430,"text":"University of Texas at Austin","active":true,"usgs":false}],"preferred":false,"id":541613,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kerans, Charles","contributorId":75838,"corporation":false,"usgs":false,"family":"Kerans","given":"Charles","email":"","affiliations":[{"id":12430,"text":"University of Texas at Austin","active":true,"usgs":false}],"preferred":false,"id":474848,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Repetski, John E. 0000-0002-2298-7120 jrepetski@usgs.gov","orcid":"https://orcid.org/0000-0002-2298-7120","contributorId":2596,"corporation":false,"usgs":true,"family":"Repetski","given":"John","email":"jrepetski@usgs.gov","middleInitial":"E.","affiliations":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true},{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"preferred":true,"id":474847,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70156869,"text":"70156869 - 2012 - Modelling reintroduced populations: The state of the art and future directions","interactions":[],"lastModifiedDate":"2021-11-10T16:03:11.84913","indexId":"70156869","displayToPublicDate":"2012-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Modelling reintroduced populations: The state of the art and future directions","docAbstract":"No abstract available.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Reintroduction biology: Integrating science and management","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Wiley","doi":"10.1002/9781444355833.ch6","usgsCitation":"Armstrong, D., and Reynolds, M.H., 2012, Modelling reintroduced populations: The state of the art and future directions, chap. of Reintroduction biology: Integrating science and management, p. 165-222, https://doi.org/10.1002/9781444355833.ch6.","productDescription":"58 p.","startPage":"165","endPage":"222","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-033083","costCenters":[{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true}],"links":[{"id":307760,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationDate":"2012-02-21","publicationStatus":"PW","scienceBaseUri":"560bb6d6e4b058f706e53d90","contributors":{"editors":[{"text":"Ewen, John G.","contributorId":140270,"corporation":false,"usgs":false,"family":"Ewen","given":"John","email":"","middleInitial":"G.","affiliations":[{"id":13431,"text":"Zoological Society of London","active":true,"usgs":false}],"preferred":false,"id":570889,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Armstrong, Doug P.","contributorId":24675,"corporation":false,"usgs":true,"family":"Armstrong","given":"Doug P.","affiliations":[],"preferred":false,"id":570890,"contributorType":{"id":2,"text":"Editors"},"rank":2},{"text":"Park, Kevin","contributorId":147257,"corporation":false,"usgs":false,"family":"Park","given":"Kevin","email":"","affiliations":[],"preferred":false,"id":570891,"contributorType":{"id":2,"text":"Editors"},"rank":3},{"text":"Seddon, Phillip J.","contributorId":147258,"corporation":false,"usgs":false,"family":"Seddon","given":"Phillip","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":570892,"contributorType":{"id":2,"text":"Editors"},"rank":4}],"authors":[{"text":"Armstrong, Doug P.","contributorId":24675,"corporation":false,"usgs":true,"family":"Armstrong","given":"Doug P.","affiliations":[],"preferred":false,"id":570887,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Reynolds, Michelle H. 0000-0001-7253-8158 mreynolds@usgs.gov","orcid":"https://orcid.org/0000-0001-7253-8158","contributorId":3871,"corporation":false,"usgs":true,"family":"Reynolds","given":"Michelle","email":"mreynolds@usgs.gov","middleInitial":"H.","affiliations":[{"id":5049,"text":"Pacific Islands Ecosys Research Center","active":true,"usgs":true},{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true}],"preferred":true,"id":570888,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70157357,"text":"70157357 - 2012 - Sirenian pathology and mortality assessment","interactions":[],"lastModifiedDate":"2015-09-21T16:36:06","indexId":"70157357","displayToPublicDate":"2012-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Sirenian pathology and mortality assessment","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Sirenian conservation issues and strategies in developing countries","language":"English","publisher":"University Press of Florida","publisherLocation":"Gainesville, FL","usgsCitation":"Bonde, R.K., Mignucci-Ginannoni, A.A., and Bossart, G.D., 2012, Sirenian pathology and mortality assessment, chap. of Sirenian conservation issues and strategies in developing countries, p. 148-156.","productDescription":"9 p.","startPage":"148","endPage":"156","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"links":[{"id":308339,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"56012a9be4b03bc34f54442c","contributors":{"editors":[{"text":"Hines, Ellen Marie","contributorId":147831,"corporation":false,"usgs":false,"family":"Hines","given":"Ellen","email":"","middleInitial":"Marie","affiliations":[],"preferred":false,"id":572834,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Reynolds, John Elliot","contributorId":147832,"corporation":false,"usgs":false,"family":"Reynolds","given":"John","email":"","middleInitial":"Elliot","affiliations":[],"preferred":false,"id":572835,"contributorType":{"id":2,"text":"Editors"},"rank":2},{"text":"Aragones, Lemnuel V. V.","contributorId":113422,"corporation":false,"usgs":true,"family":"Aragones","given":"Lemnuel","suffix":"V.","email":"","middleInitial":"V.","affiliations":[],"preferred":false,"id":572836,"contributorType":{"id":2,"text":"Editors"},"rank":3},{"text":"Mignucci-Ginannoni, Antonio A.","contributorId":106385,"corporation":false,"usgs":true,"family":"Mignucci-Ginannoni","given":"Antonio","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":572837,"contributorType":{"id":2,"text":"Editors"},"rank":4},{"text":"Marmontel, Miriam","contributorId":66950,"corporation":false,"usgs":true,"family":"Marmontel","given":"Miriam","email":"","affiliations":[],"preferred":false,"id":572838,"contributorType":{"id":2,"text":"Editors"},"rank":5}],"authors":[{"text":"Bonde, Robert K. 0000-0001-9179-4376 rbonde@usgs.gov","orcid":"https://orcid.org/0000-0001-9179-4376","contributorId":2675,"corporation":false,"usgs":true,"family":"Bonde","given":"Robert","email":"rbonde@usgs.gov","middleInitial":"K.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"preferred":true,"id":572839,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mignucci-Ginannoni, Antonio A.","contributorId":106385,"corporation":false,"usgs":true,"family":"Mignucci-Ginannoni","given":"Antonio","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":572840,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bossart, Gregory D.","contributorId":46678,"corporation":false,"usgs":true,"family":"Bossart","given":"Gregory","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":572841,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70188864,"text":"70188864 - 2012 - Multifractal model of magnetic susceptibility distributions in some igneous rocks","interactions":[],"lastModifiedDate":"2017-06-27T10:06:08","indexId":"70188864","displayToPublicDate":"2012-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2878,"text":"Nonlinear Processes in Geophysics","active":true,"publicationSubtype":{"id":10}},"title":"Multifractal model of magnetic susceptibility distributions in some igneous rocks","docAbstract":"Measurements of in-situ magnetic susceptibility were compiled from mainly Precambrian crystalline basement rocks beneath the Colorado Plateau and ranges in Arizona, Colorado, and New Mexico. The susceptibility meter used measures about 30 cm3 of rock and measures variations in the modal distribution of magnetic minerals that form a minor component volumetrically in these coarsely crystalline granitic to granodioritic rocks. Recent measurements include 50–150 measurements on each outcrop, and show that the distribution of magnetic susceptibilities is highly variable, multimodal and strongly non-Gaussian. Although the distribution of magnetic susceptibility is well known to be multifractal, the small number of data points at an outcrop precludes calculation of the multifractal spectrum by conventional methods. Instead, a brute force approach was adopted using multiplicative cascade models to fit the outcrop scale variability of magnetic minerals. Model segment proportion and length parameters resulted in 26 676 models to span parameter space. Distributions at each outcrop were normalized to unity magnetic susceptibility and added to compare all data for a rock body accounting for variations in petrology and alteration. Once the best-fitting model was found, the equation relating the segment proportion and length parameters was solved numerically to yield the multifractal spectrum estimate. For the best fits, the relative density (the proportion divided by the segment length) of one segment tends to be dominant and the other two densities are smaller and nearly equal. No other consistent relationships between the best fit parameters were identified. The multifractal spectrum estimates appear to distinguish between metamorphic gneiss sites and sites on plutons, even if the plutons have been metamorphosed. In particular, rocks that have undergone multiple tectonic events tend to have a larger range of scaling exponents.
","language":"English","publisher":"European Geosciences Union","doi":"10.5194/npg-19-635-2012","usgsCitation":"Gettings, M.E., 2012, Multifractal model of magnetic susceptibility distributions in some igneous rocks: Nonlinear Processes in Geophysics, v. 19, p. 635-642, https://doi.org/10.5194/npg-19-635-2012.","productDescription":"8 p.","startPage":"635","endPage":"642","ipdsId":"IP-042313","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":474628,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.5194/npg-19-635-2012","text":"Publisher Index Page"},{"id":342945,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"19","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2012-11-23","publicationStatus":"PW","scienceBaseUri":"59536eafe4b062508e3c7abb","contributors":{"authors":[{"text":"Gettings, Mark E. 0000-0002-2910-2321 mgetting@usgs.gov","orcid":"https://orcid.org/0000-0002-2910-2321","contributorId":602,"corporation":false,"usgs":true,"family":"Gettings","given":"Mark","email":"mgetting@usgs.gov","middleInitial":"E.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":700740,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70189898,"text":"70189898 - 2012 - Airborne LiDAR methods applied to riverine environments","interactions":[],"lastModifiedDate":"2017-08-24T20:19:55","indexId":"70189898","displayToPublicDate":"2012-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"chapter":"7","title":"Airborne LiDAR methods applied to riverine environments","docAbstract":"No abstract available.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Fluvial Remote Sensing for Science and Management","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Wiley","doi":"10.1002/9781119940791.ch7","isbn":"9781119940791","usgsCitation":"Bailly, J., Kinzel, P.J., Allouis, T., Feurer, D., and Le Coarer, Y., 2012, Airborne LiDAR methods applied to riverine environments, chap. 7 of Fluvial Remote Sensing for Science and Management, p. 141-161, https://doi.org/10.1002/9781119940791.ch7.","productDescription":"21 p.","startPage":"141","endPage":"161","ipdsId":"IP-030529","costCenters":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"links":[{"id":345121,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2012-08-14","publicationStatus":"PW","scienceBaseUri":"599fe5bce4b038630d022115","contributors":{"editors":[{"text":"Carbonneau, Patrice E.","contributorId":147604,"corporation":false,"usgs":false,"family":"Carbonneau","given":"Patrice","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":708406,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Piégay, Hervé","contributorId":147605,"corporation":false,"usgs":false,"family":"Piégay","given":"Hervé","affiliations":[],"preferred":false,"id":708407,"contributorType":{"id":2,"text":"Editors"},"rank":2}],"authors":[{"text":"Bailly, Jean-Stephane","contributorId":195268,"corporation":false,"usgs":false,"family":"Bailly","given":"Jean-Stephane","email":"","affiliations":[{"id":34194,"text":"AgroParisTech, Montpellier, France","active":true,"usgs":false}],"preferred":false,"id":708408,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kinzel, Paul J. 0000-0002-6076-9730 pjkinzel@usgs.gov","orcid":"https://orcid.org/0000-0002-6076-9730","contributorId":743,"corporation":false,"usgs":true,"family":"Kinzel","given":"Paul","email":"pjkinzel@usgs.gov","middleInitial":"J.","affiliations":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true},{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":708409,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Allouis, Tristan","contributorId":195269,"corporation":false,"usgs":false,"family":"Allouis","given":"Tristan","email":"","affiliations":[{"id":27301,"text":"IRSTEA - UMR G-EAU (France)","active":true,"usgs":false}],"preferred":false,"id":708410,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Feurer, Denis","contributorId":195267,"corporation":false,"usgs":false,"family":"Feurer","given":"Denis","email":"","affiliations":[{"id":34193,"text":"IRD, Montpellier, France","active":true,"usgs":false}],"preferred":false,"id":708411,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Le Coarer, Yann","contributorId":195829,"corporation":false,"usgs":false,"family":"Le Coarer","given":"Yann","email":"","affiliations":[{"id":27301,"text":"IRSTEA - UMR G-EAU (France)","active":true,"usgs":false}],"preferred":false,"id":708412,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70038147,"text":"70038147 - 2012 - Crop classification modelling using remote sensing and environmental data in the Greater Platte River Basin, USA","interactions":[],"lastModifiedDate":"2017-04-06T14:27:51","indexId":"70038147","displayToPublicDate":"2012-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2068,"text":"International Journal of Remote Sensing","active":true,"publicationSubtype":{"id":10}},"title":"Crop classification modelling using remote sensing and environmental data in the Greater Platte River Basin, USA","docAbstract":"With an ever expanding population, potential climate variability and an increasing demand for agriculture-based alternative fuels, accurate agricultural land-cover classification for specific crops and their spatial distributions are becoming critical to researchers, policymakers, land managers and farmers. It is important to ensure the sustainability of these and other land uses and to quantify the net impacts that certain management practices have on the environment. Although other quality crop classification products are often available, temporal and spatial coverage gaps can create complications for certain regional or time-specific applications. Our goal was to develop a model capable of classifying major crops in the Greater Platte River Basin (GPRB) for the post-2000 era to supplement existing crop classification products. This study identifies annual spatial distributions and area totals of corn, soybeans, wheat and other crops across the GPRB from 2000 to 2009. We developed a regression tree classification model based on 2.5 million training data points derived from the National Agricultural Statistics Service (NASS) Cropland Data Layer (CDL) in relation to a variety of other relevant input environmental variables. The primary input variables included the weekly 250 m US Geological Survey Earth Observing System Moderate Resolution Imaging Spectroradiometer normalized differential vegetation index, average long-term growing season temperature, average long-term growing season precipitation and yearly start of growing season. An overall model accuracy rating of 78% was achieved for a test sample of roughly 215 000 independent points that were withheld from model training. Ten 250 m resolution annual crop classification maps were produced and evaluated for the GPRB region, one for each year from 2000 to 2009. In addition to the model accuracy assessment, our validation focused on spatial distribution and county-level crop area totals in comparison with the NASS CDL and county statistics from the US Department of Agriculture (USDA) Census of Agriculture. The results showed that our model produced crop classification maps that closely resembled the spatial distribution trends observed in the NASS CDL and exhibited a close linear agreement with county-by-county crop area totals from USDA census data (R 2 = 0.90).
","language":"English","publisher":"Taylor and Francis","doi":"10.1080/01431161.2012.680617","usgsCitation":"Howard, D., Wylie, B.K., and Tieszen, L.L., 2012, Crop classification modelling using remote sensing and environmental data in the Greater Platte River Basin, USA: International Journal of Remote Sensing, v. 33, no. 19, p. 6094-6108, https://doi.org/10.1080/01431161.2012.680617.","productDescription":"15 p.","startPage":"6094","endPage":"6108","ipdsId":"IP-034381","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":333348,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"UNITED STATES","otherGeospatial":"Greater Platte River Basin","volume":"33","issue":"19","noUsgsAuthors":false,"publicationDate":"2012-04-19","publicationStatus":"PW","scienceBaseUri":"58808d55e4b01dfadfff1538","contributors":{"authors":[{"text":"Howard, Daniel M. 0000-0002-7563-7538","orcid":"https://orcid.org/0000-0002-7563-7538","contributorId":97795,"corporation":false,"usgs":true,"family":"Howard","given":"Daniel M.","affiliations":[],"preferred":false,"id":514113,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wylie, Bruce K. 0000-0002-7374-1083 wylie@usgs.gov","orcid":"https://orcid.org/0000-0002-7374-1083","contributorId":750,"corporation":false,"usgs":true,"family":"Wylie","given":"Bruce","email":"wylie@usgs.gov","middleInitial":"K.","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true},{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":514111,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Tieszen, Larry L. tieszen@usgs.gov","contributorId":2831,"corporation":false,"usgs":true,"family":"Tieszen","given":"Larry","email":"tieszen@usgs.gov","middleInitial":"L.","affiliations":[],"preferred":true,"id":514112,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70155848,"text":"70155848 - 2012 - Groundwater and surface-water exchange and resultingnNitrate dynamics in the Bogue Phalia Basin in northwestern Mississippi","interactions":[],"lastModifiedDate":"2022-11-15T16:09:38.395666","indexId":"70155848","displayToPublicDate":"2012-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2262,"text":"Journal of Environmental Quality","active":true,"publicationSubtype":{"id":10}},"title":"Groundwater and surface-water exchange and resultingnNitrate dynamics in the Bogue Phalia Basin in northwestern Mississippi","docAbstract":"During April 2007 through September 2008, the USGS collected hydrogeologic and water-quality data from a site on the Bogue Phalia to evaluate the role of groundwater and surface-water interaction on the transport of nitrate to the shallow sand and gravel aquifer underlying the Mississippi Alluvial Plain in northwestern Mississippi. A two-dimensional groundwater/surface-water exchange model was developed using temperature and head data and VS2DH, a variably saturated flow and energy transport model. Results from this model showed that groundwater/surface-water exchange at the site occurred regularly and recharge was laterally extensive into the alluvial aquifer. Nitrate was consistently reported in surface-water samples (n = 52, median concentration = 39.8 μmol/L) although never detected in samples collected from in-stream piezometers or shallow monitoring wells adjacent to the stream (n = 46). These two facts, consistent detections of nitrate in surface water and no detections of nitrate in groundwater, coupled with model results that indicate large amounts of surface water moving through an anoxic streambed, support the case for denitrification and nitrate loss through the streambed.
","language":"English","publisher":"Alliance of Crop, Soil, and Environmental Science Societies","doi":"10.2134/jeq2011.0087","usgsCitation":"Barlow, J.R., and Coupe, R.H., 2012, Groundwater and surface-water exchange and resultingnNitrate dynamics in the Bogue Phalia Basin in northwestern Mississippi: Journal of Environmental Quality, v. 41, no. 1, p. 155-169, https://doi.org/10.2134/jeq2011.0087.","productDescription":"15 p.","startPage":"155","endPage":"169","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-024197","costCenters":[{"id":394,"text":"Mississippi Water Science Center","active":true,"usgs":true}],"links":[{"id":381802,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Mississippi","otherGeospatial":"Bogue Phalia Basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -90.20421710355372,\n 34.156863209912004\n ],\n [\n -90.75054266585917,\n 34.156863209912004\n ],\n [\n -90.8764117905081,\n 34.12139801584064\n ],\n [\n -91.1361842392514,\n 33.60994504300518\n ],\n [\n -91.05316417831278,\n 33.117872488161694\n ],\n [\n -90.22296356892653,\n 33.129086822630626\n ],\n [\n -90.20689517003508,\n 34.156863209912004\n ],\n [\n -90.20421710355372,\n 34.156863209912004\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"41","issue":"1","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationDate":"2012-01-01","publicationStatus":"PW","scienceBaseUri":"55cc6e29e4b08400b1fe0fd2","contributors":{"authors":[{"text":"Barlow, Jeannie R. B. 0000-0002-0799-4656 jbarlow@usgs.gov","orcid":"https://orcid.org/0000-0002-0799-4656","contributorId":3701,"corporation":false,"usgs":true,"family":"Barlow","given":"Jeannie","email":"jbarlow@usgs.gov","middleInitial":"R. B.","affiliations":[{"id":394,"text":"Mississippi Water Science Center","active":true,"usgs":true},{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true},{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"preferred":true,"id":566594,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Coupe, Richard H. 0000-0001-8679-1015 rhcoupe@usgs.gov","orcid":"https://orcid.org/0000-0001-8679-1015","contributorId":551,"corporation":false,"usgs":true,"family":"Coupe","given":"Richard","email":"rhcoupe@usgs.gov","middleInitial":"H.","affiliations":[{"id":394,"text":"Mississippi Water Science Center","active":true,"usgs":true}],"preferred":true,"id":566595,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70187162,"text":"70187162 - 2012 - La información satelital para la gestión ante desastres—La Carta Internacional del Espacio, los grandes desastres y la experiencia de el USGS","interactions":[],"lastModifiedDate":"2017-04-25T14:31:59","indexId":"70187162","displayToPublicDate":"2012-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"La información satelital para la gestión ante desastres—La Carta Internacional del Espacio, los grandes desastres y la experiencia de el USGS","docAbstract":"No abstract available.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Desastres—Costa Rica en el tercer melenio desafíos y propuestas para la reducción de vulnerabilidad","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Constrastes Vivos de Costa Rica","publisherLocation":"San José, Costa Rica","usgsCitation":"Jones, B., 2012, La información satelital para la gestión ante desastres—La Carta Internacional del Espacio, los grandes desastres y la experiencia de el USGS, chap. of Desastres—Costa Rica en el tercer melenio desafíos y propuestas para la reducción de vulnerabilidad, p. 367-380.","productDescription":"14 p.","startPage":"367","endPage":"380","ipdsId":"IP-033621","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":340318,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":340277,"type":{"id":15,"text":"Index Page"},"url":"https://www.preventec.ucr.ac.cr/libro_desastre_costa_rica_tercer_milenio"}],"publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59006067e4b0e85db3a5de11","contributors":{"authors":[{"text":"Jones, Brenda 0000-0003-4941-5349 bkjones@usgs.gov","orcid":"https://orcid.org/0000-0003-4941-5349","contributorId":2994,"corporation":false,"usgs":true,"family":"Jones","given":"Brenda","email":"bkjones@usgs.gov","affiliations":[{"id":423,"text":"National Geospatial Program","active":true,"usgs":true},{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":692867,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70173885,"text":"70173885 - 2012 - Collecting a sample of loggerhead sea turtle hatchlings before a natural emergence does not reduce nest productivity","interactions":[],"lastModifiedDate":"2016-06-21T15:28:22","indexId":"70173885","displayToPublicDate":"2012-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1497,"text":"Endangered Species Research","active":true,"publicationSubtype":{"id":10}},"title":"Collecting a sample of loggerhead sea turtle hatchlings before a natural emergence does not reduce nest productivity","docAbstract":" In numerous studies involving hatchling sea turtles, researchers have collected small numbers of hatchlings from nests a few hours before the turtles would otherwise have emerged naturally. This procedure makes it possible to do experiments in which the behavioral or physiological responses of numerous hatchlings must be tested in a limited period of time, and also allows hatchlings to be released back into the sea in time to migrate offshore before dawn. In principle, however, the procedure might inadvertently reduce nest productivity (the number of hatchlings that successfully leave the nest), if digging into a nest prior to emergence somehow reduces the ability of the remaining turtles to emerge. We compared nest productivity in 67 experimental loggerhead nests, from which we removed 10 hatchlings before a natural emergence, to 95 control nests left undisturbed before a natural emergence. The 2 groups showed no statistical differences in productivity. We conclude that taking a few hatchlings from a loggerhead nest shortly before a natural emergence has no negative impact on hatchling production if sampling is done with care at locations where there are few nest predators, and at sites where an emergence can be predicted because nest deposition dates are known.
","language":"English","publisher":"Inter-Research","doi":"10.3354/esr00409","usgsCitation":"Salmon, M., Carthy, R.R., Lohmann, C.M., Lohmann, K.J., and Wyneken, J., 2012, Collecting a sample of loggerhead sea turtle hatchlings before a natural emergence does not reduce nest productivity: Endangered Species Research, v. 16, no. 3, p. 295-299, https://doi.org/10.3354/esr00409.","productDescription":"5 p.","startPage":"295","endPage":"299","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-034556","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":474712,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3354/esr00409","text":"Publisher Index Page"},{"id":324158,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Florida","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -80.06423950195311,\n 26.434917225242593\n ],\n [\n -80.09445190429688,\n 26.240461037483637\n ],\n [\n -80.10543823242188,\n 26.168996529230178\n ],\n [\n -80.08895874023438,\n 26.172694044887898\n ],\n [\n -80.05462646484375,\n 26.432457797872374\n ],\n [\n -80.06423950195311,\n 26.434917225242593\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"16","issue":"3","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"576a6533e4b07657d1a11d32","contributors":{"authors":[{"text":"Salmon, Michael","contributorId":172282,"corporation":false,"usgs":false,"family":"Salmon","given":"Michael","email":"","affiliations":[],"preferred":false,"id":640137,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"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":638889,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lohmann, Catherine M. F.","contributorId":172283,"corporation":false,"usgs":false,"family":"Lohmann","given":"Catherine","email":"","middleInitial":"M. F.","affiliations":[],"preferred":false,"id":640138,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lohmann, Kenneth J.","contributorId":172284,"corporation":false,"usgs":false,"family":"Lohmann","given":"Kenneth","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":640139,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Wyneken, Jeanette","contributorId":172285,"corporation":false,"usgs":false,"family":"Wyneken","given":"Jeanette","email":"","affiliations":[],"preferred":false,"id":640140,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70173906,"text":"70173906 - 2012 - Available benthic habitat type may influence predation risk in larval lampreys","interactions":[],"lastModifiedDate":"2016-06-15T11:38:03","indexId":"70173906","displayToPublicDate":"2012-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1471,"text":"Ecology of Freshwater Fish","active":true,"publicationSubtype":{"id":10}},"title":"Available benthic habitat type may influence predation risk in larval lampreys","docAbstract":"Population declines of lamprey species have largely been attributed to habitat degradation, yet there still remain many unanswered questions about the relationships between lampreys and their habitats (Torgensen & Close 2004; Smith et al. 2011). One scarcely researched area of lamprey ecology is the effect of predation on lampreys (Cochran 2009). Specifically, the influence of available habitat on predation risk has not been documented for larval lampreys but may be important to the management and conservation of lamprey populations.
","language":"English","publisher":"Wiley","doi":"10.1111/j.1600-0633.2011.00532.x","usgsCitation":"Smith, D.M., Welsh, S., and Turk, P.J., 2012, Available benthic habitat type may influence predation risk in larval lampreys: Ecology of Freshwater Fish, v. 21, no. 1, p. 160-163, https://doi.org/10.1111/j.1600-0633.2011.00532.x.","productDescription":"4 p.","startPage":"160","endPage":"163","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-032153","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":323674,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"West Virginia","otherGeospatial":"Monongahela River watershed","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -80.26611328125,\n 39.707186656826565\n ],\n [\n -81.1395263671875,\n 38.3287297527893\n ],\n [\n -80.496826171875,\n 37.92253448828906\n ],\n [\n -79.8431396484375,\n 37.94852933714952\n ],\n [\n -79.4970703125,\n 39.20246222588238\n ],\n [\n -79.47509765625,\n 39.715638134796336\n ],\n [\n -80.26611328125,\n 39.707186656826565\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"21","issue":"1","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2011-10-02","publicationStatus":"PW","scienceBaseUri":"57627c2ee4b07657d19a69ca","contributors":{"authors":[{"text":"Smith, Dustin M.","contributorId":171829,"corporation":false,"usgs":false,"family":"Smith","given":"Dustin","email":"","middleInitial":"M.","affiliations":[{"id":12432,"text":"West Virginia University","active":true,"usgs":false}],"preferred":false,"id":638990,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Welsh, Stuart A. 0000-0003-0362-054X swelsh@usgs.gov","orcid":"https://orcid.org/0000-0003-0362-054X","contributorId":152088,"corporation":false,"usgs":true,"family":"Welsh","given":"Stuart A.","email":"swelsh@usgs.gov","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":false,"id":638954,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Turk, Philip J.","contributorId":171830,"corporation":false,"usgs":false,"family":"Turk","given":"Philip","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":638991,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70173872,"text":"70173872 - 2012 - A generalized model for estimating the energy density of invertebrates","interactions":[],"lastModifiedDate":"2016-06-15T14:47:04","indexId":"70173872","displayToPublicDate":"2012-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1699,"text":"Freshwater Science","active":true,"publicationSubtype":{"id":10}},"title":"A generalized model for estimating the energy density of invertebrates","docAbstract":"Invertebrate energy density (ED) values are traditionally measured using bomb calorimetry. However, many researchers rely on a few published literature sources to obtain ED values because of time and sampling constraints on measuring ED with bomb calorimetry. Literature values often do not account for spatial or temporal variability associated with invertebrate ED. Thus, these values can be unreliable for use in models and other ecological applications. We evaluated the generality of the relationship between invertebrate ED and proportion of dry-to-wet mass (pDM). We then developed and tested a regression model to predict ED from pDM based on a taxonomically, spatially, and temporally diverse sample of invertebrates representing 28 orders in aquatic (freshwater, estuarine, and marine) and terrestrial (temperate and arid) habitats from 4 continents and 2 oceans. Samples included invertebrates collected in all seasons over the last 19 y. Evaluation of these data revealed a significant relationship between ED and pDM (r2 = 0.96, p < 0.0001), where ED (as J/g wet mass) was estimated from pDM as ED = 22,960pDM − 174.2. Model evaluation showed that nearly all (98.8%) of the variability between observed and predicted values for invertebrate ED could be attributed to residual error in the model. Regression of observed on predicted values revealed that the 97.5% joint confidence region included the intercept of 0 (−103.0 ± 707.9) and slope of 1 (1.01 ± 0.12). Use of this model requires that only dry and wet mass measurements be obtained, resulting in significant time, sample size, and cost savings compared to traditional bomb calorimetry approaches. This model should prove useful for a wide range of ecological studies because it is unaffected by taxonomic, seasonal, or spatial variability.
","language":"English","publisher":"The University of Chicago Press","doi":"10.1899/11-057.1","usgsCitation":"James, D.A., Csargo, I.J., Von Eschen, A., Thul, M.D., Baker, J.M., Hayer, C., Howell, J., Krause, J., Letvin, A., and Chipps, S.R., 2012, A generalized model for estimating the energy density of invertebrates: Freshwater Science, v. 31, no. 1, p. 69-77, https://doi.org/10.1899/11-057.1.","productDescription":"9 p.","startPage":"69","endPage":"77","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-032442","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":323708,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"31","issue":"1","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57627c2be4b07657d19a69b3","contributors":{"authors":[{"text":"James, Daniel A.","contributorId":41737,"corporation":false,"usgs":true,"family":"James","given":"Daniel","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":639115,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Csargo, Isak J.","contributorId":171858,"corporation":false,"usgs":false,"family":"Csargo","given":"Isak","email":"","middleInitial":"J.","affiliations":[{"id":26958,"text":"South Dakota State University, Brookings, SD","active":true,"usgs":false}],"preferred":false,"id":639116,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Von Eschen, Aaron","contributorId":171921,"corporation":false,"usgs":false,"family":"Von Eschen","given":"Aaron","email":"","affiliations":[],"preferred":false,"id":639117,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Thul, Megan D.","contributorId":171922,"corporation":false,"usgs":false,"family":"Thul","given":"Megan","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":639118,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Baker, James M.","contributorId":171923,"corporation":false,"usgs":false,"family":"Baker","given":"James","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":639119,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hayer, Cari-Ann chayer@usgs.gov","contributorId":150040,"corporation":false,"usgs":true,"family":"Hayer","given":"Cari-Ann","email":"chayer@usgs.gov","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":false,"id":639120,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Howell, Jessica","contributorId":171924,"corporation":false,"usgs":false,"family":"Howell","given":"Jessica","email":"","affiliations":[],"preferred":false,"id":639121,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Krause, Jacob","contributorId":171925,"corporation":false,"usgs":false,"family":"Krause","given":"Jacob","affiliations":[],"preferred":false,"id":639122,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Letvin, Alex","contributorId":171926,"corporation":false,"usgs":false,"family":"Letvin","given":"Alex","affiliations":[],"preferred":false,"id":639123,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Chipps, Steven R. 0000-0001-6511-7582 steve_chipps@usgs.gov","orcid":"https://orcid.org/0000-0001-6511-7582","contributorId":2243,"corporation":false,"usgs":true,"family":"Chipps","given":"Steven","email":"steve_chipps@usgs.gov","middleInitial":"R.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":638876,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}}
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