{"pageNumber":"854","pageRowStart":"21325","pageSize":"25","recordCount":40783,"records":[{"id":70035039,"text":"70035039 - 2009 - Using occupancy models of forest breeding birds to prioritize conservation planning","interactions":[],"lastModifiedDate":"2012-03-12T17:21:53","indexId":"70035039","displayToPublicDate":"2009-01-01T00:00:00","publicationYear":"2009","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1015,"text":"Biological Conservation","active":true,"publicationSubtype":{"id":10}},"title":"Using occupancy models of forest breeding birds to prioritize conservation planning","docAbstract":"As urban development continues to encroach on the natural and rural landscape, land-use planners struggle to identify high priority conservation areas for protection. Although knowing where urban-sensitive species may be occurring on the landscape would facilitate conservation planning, research efforts are often not sufficiently designed to make quality predictions at unknown locations. Recent advances in occupancy modeling allow for more precise estimates of occupancy by accounting for differences in detectability. We applied these techniques to produce robust estimates of habitat occupancy for a subset of forest breeding birds, a group that has been shown to be sensitive to urbanization, in a rapidly urbanizing yet biological diverse region of New York State. We found that detection probability ranged widely across species, from 0.05 to 0.8. Our models suggest that detection probability declined with increasing forest fragmentation. We also found that the probability of occupancy of forest breeding birds is negatively influenced by increasing perimeter-area ratio of forest fragments and urbanization in the surrounding habitat matrix. We capitalized on our random sampling design to produce spatially explicit models that predict high priority conservation areas across the entire region, where interior-species were most likely to occur. Finally, we use our predictive maps to demonstrate how a strict sampling design coupled with occupancy modeling can be a valuable tool for prioritizing biodiversity conservation in land-use planning. ?? 2009 Elsevier Ltd.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Biological Conservation","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1016/j.biocon.2008.12.032","issn":"00063207","usgsCitation":"De Wan, A.A., Sullivan, P., Lembo, A., Smith, C.R., Maerz, J., Lassoie, J., and Richmond, M.E., 2009, Using occupancy models of forest breeding birds to prioritize conservation planning: Biological Conservation, v. 142, no. 5, p. 982-991, https://doi.org/10.1016/j.biocon.2008.12.032.","startPage":"982","endPage":"991","numberOfPages":"10","costCenters":[],"links":[{"id":215235,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.biocon.2008.12.032"},{"id":243024,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"142","issue":"5","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505bc088e4b08c986b32a197","contributors":{"authors":[{"text":"De Wan, A. A.","contributorId":32005,"corporation":false,"usgs":true,"family":"De Wan","given":"A.","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":448991,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sullivan, P.J.","contributorId":38762,"corporation":false,"usgs":true,"family":"Sullivan","given":"P.J.","email":"","affiliations":[],"preferred":false,"id":448993,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lembo, A.J.","contributorId":71410,"corporation":false,"usgs":true,"family":"Lembo","given":"A.J.","affiliations":[],"preferred":false,"id":448994,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Smith, C. R.","contributorId":32876,"corporation":false,"usgs":true,"family":"Smith","given":"C.","middleInitial":"R.","affiliations":[],"preferred":false,"id":448992,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Maerz, J.C.","contributorId":18594,"corporation":false,"usgs":true,"family":"Maerz","given":"J.C.","affiliations":[],"preferred":false,"id":448989,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Lassoie, J.P.","contributorId":17442,"corporation":false,"usgs":true,"family":"Lassoie","given":"J.P.","email":"","affiliations":[],"preferred":false,"id":448988,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Richmond, M. E.","contributorId":22729,"corporation":false,"usgs":true,"family":"Richmond","given":"M.","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":448990,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70035042,"text":"70035042 - 2009 - Peptide synthesis in early earth hydrothermal systems","interactions":[],"lastModifiedDate":"2012-03-12T17:21:53","indexId":"70035042","displayToPublicDate":"2009-01-01T00:00:00","publicationYear":"2009","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":912,"text":"Astrobiology","active":true,"publicationSubtype":{"id":10}},"title":"Peptide synthesis in early earth hydrothermal systems","docAbstract":"We report here results from experiments and thermodynamic calculations that demonstrate a rapid, temperature-enhanced synthesis of oligopeptides from the condensation of aqueous glycine. Experiments were conducted in custom-made hydrothermal reactors, and organic compounds were characterized with ultraviolet-visible procedures. A comparison of peptide yields at 260??C with those obtained at more moderate temperatures (160??C) gives evidence of a significant (13 kJ ?? mol<sup>-1</sup>) exergonic shift. In contrast to previous hydrothermal studies, we demonstrate that peptide synthesis is favored in hydrothermal fluids and that rates of peptide hydrolysis are controlled by the stability of the parent amino acid, with a critical dependence on reactor surface composition. From our study, we predict that rapid recycling of product peptides from cool into near-supercritical fluids in mid-ocean ridge hydrothermal systems will enhance peptide chain elongation. It is anticipated that the abundant hydrothermal systems on early Earth could have provided a substantial source of biomolecules required for the origin of life. Astrobiology 9, 141-146. ?? 2009 Mary Ann Liebert, Inc. 2009.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Astrobiology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1089/ast.2008.0166","issn":"15311074","usgsCitation":"Lemke, K., Rosenbauer, R., and Bird, D., 2009, Peptide synthesis in early earth hydrothermal systems: Astrobiology, v. 9, no. 2, p. 141-146, https://doi.org/10.1089/ast.2008.0166.","startPage":"141","endPage":"146","numberOfPages":"6","costCenters":[],"links":[{"id":215267,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1089/ast.2008.0166"},{"id":243057,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"9","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a765fe4b0c8380cd78094","contributors":{"authors":[{"text":"Lemke, K.H.","contributorId":28091,"corporation":false,"usgs":true,"family":"Lemke","given":"K.H.","email":"","affiliations":[],"preferred":false,"id":449007,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rosenbauer, R.J.","contributorId":37320,"corporation":false,"usgs":true,"family":"Rosenbauer","given":"R.J.","email":"","affiliations":[],"preferred":false,"id":449008,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bird, D.K.","contributorId":24934,"corporation":false,"usgs":true,"family":"Bird","given":"D.K.","email":"","affiliations":[],"preferred":false,"id":449006,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70035043,"text":"70035043 - 2009 - Regression models for explaining and predicting concentrations of organochlorine pesticides in fish from streams in the United States","interactions":[],"lastModifiedDate":"2016-06-01T15:53:47","indexId":"70035043","displayToPublicDate":"2009-01-01T00:00:00","publicationYear":"2009","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1571,"text":"Environmental Toxicology and Chemistry","active":true,"publicationSubtype":{"id":10}},"title":"Regression models for explaining and predicting concentrations of organochlorine pesticides in fish from streams in the United States","docAbstract":"<p>Empirical regression models were developed for estimating concentrations of dieldrin, total chlordane, and total DDT in whole fish from U.S. streams. Models were based on pesticide concentrations measured in whole fish at 648 stream sites nationwide (1992-2001) as part of the U.S. Geological Survey's National Water Quality Assessment Program. Explanatory variables included fish lipid content, estimates (or surrogates) representing historical agricultural and urban sources, watershed characteristics, and geographic location. Models were developed using Tobit regression methods appropriate for data with censoring. Typically, the models explain approximately 50 to 70% of the variability in pesticide concentrations measured in whole fish. The models were used to predict pesticide concentrations in whole fish for streams nationwide using the U.S. Environmental Protection Agency's River Reach File 1 and to estimate the probability that whole-fish concentrations exceed benchmarks for protection of fish-eating wildlife. Predicted concentrations were highest for dieldrin in the Corn Belt, Texas, and scattered urban areas; for total chlordane in the Corn Belt, Texas, the Southeast, and urbanized Northeast; and for total DDT in the Southeast, Texas, California, and urban areas nationwide. The probability of exceeding wildlife benchmarks for dieldrin and chlordane was predicted to be low for most U.S. streams. The probability of exceeding wildlife benchmarks for total DDT is higher but varies depending on the fish taxon and on the benchmark used. Because the models in the present study are based on fish data collected during the 1990s and organochlorine pesticide residues in the environment continue to decline decades after their uses were discontinued, these models may overestimate present-day pesticide concentrations in fish. ?? 2009 SETAC.</p>","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Environmental Toxicology and Chemistry","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1897/08-508.1","issn":"07307268","usgsCitation":"Nowell, L.H., Crawford, C.G., Gilliom, R.J., Nakagaki, N., Stone, W.W., Thelin, G., and Wolock, D.M., 2009, Regression models for explaining and predicting concentrations of organochlorine pesticides in fish from streams in the United States: Environmental Toxicology and Chemistry, v. 28, no. 6, p. 1346-1358, https://doi.org/10.1897/08-508.1.","startPage":"1346","endPage":"1358","numberOfPages":"13","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[],"links":[{"id":243086,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":215292,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1897/08-508.1"}],"volume":"28","issue":"6","noUsgsAuthors":false,"publicationDate":"2009-06-01","publicationStatus":"PW","scienceBaseUri":"50e4a5d1e4b0e8fec6cdc012","contributors":{"authors":[{"text":"Nowell, Lisa H. 0000-0001-5417-7264 lhnowell@usgs.gov","orcid":"https://orcid.org/0000-0001-5417-7264","contributorId":490,"corporation":false,"usgs":true,"family":"Nowell","given":"Lisa","email":"lhnowell@usgs.gov","middleInitial":"H.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":154,"text":"California Water Science Center","active":true,"usgs":true},{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true}],"preferred":true,"id":449011,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Crawford, Charles G. 0000-0003-1653-7841 cgcrawfo@usgs.gov","orcid":"https://orcid.org/0000-0003-1653-7841","contributorId":1064,"corporation":false,"usgs":true,"family":"Crawford","given":"Charles","email":"cgcrawfo@usgs.gov","middleInitial":"G.","affiliations":[{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true},{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":449009,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gilliom, Robert J. rgilliom@usgs.gov","contributorId":488,"corporation":false,"usgs":true,"family":"Gilliom","given":"Robert","email":"rgilliom@usgs.gov","middleInitial":"J.","affiliations":[{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true}],"preferred":true,"id":449013,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Nakagaki, Naomi 0000-0003-3653-0540 nakagaki@usgs.gov","orcid":"https://orcid.org/0000-0003-3653-0540","contributorId":1067,"corporation":false,"usgs":true,"family":"Nakagaki","given":"Naomi","email":"nakagaki@usgs.gov","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":449012,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Stone, Wesley W. 0000-0003-0239-2063 wwstone@usgs.gov","orcid":"https://orcid.org/0000-0003-0239-2063","contributorId":1496,"corporation":false,"usgs":true,"family":"Stone","given":"Wesley","email":"wwstone@usgs.gov","middleInitial":"W.","affiliations":[{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true},{"id":27231,"text":"Indiana-Kentucky Water Science Center","active":true,"usgs":true},{"id":346,"text":"Indiana Water Science Center","active":true,"usgs":true}],"preferred":true,"id":449014,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Thelin, Gail gpthelin@usgs.gov","contributorId":1065,"corporation":false,"usgs":true,"family":"Thelin","given":"Gail","email":"gpthelin@usgs.gov","affiliations":[],"preferred":true,"id":449015,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Wolock, David M. 0000-0002-6209-938X dwolock@usgs.gov","orcid":"https://orcid.org/0000-0002-6209-938X","contributorId":540,"corporation":false,"usgs":true,"family":"Wolock","given":"David","email":"dwolock@usgs.gov","middleInitial":"M.","affiliations":[{"id":503,"text":"Office of Water Quality","active":true,"usgs":true},{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true},{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true},{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true},{"id":27111,"text":"National Water Quality Program","active":true,"usgs":true}],"preferred":true,"id":449010,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70035045,"text":"70035045 - 2009 - Seasonal movements and Home-range use by female pronghorns in sagebrush-steppe communities of western South Dakota","interactions":[],"lastModifiedDate":"2017-04-03T16:05:17","indexId":"70035045","displayToPublicDate":"2009-01-01T00:00:00","publicationYear":"2009","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2373,"text":"Journal of Mammalogy","onlineIssn":"1545-1542","printIssn":"0022-2372","active":true,"publicationSubtype":{"id":10}},"title":"Seasonal movements and Home-range use by female pronghorns in sagebrush-steppe communities of western South Dakota","docAbstract":"<p><span>Knowledge of seasonal movements by pronghorns (</span><i>Antilocapra americana</i><span>) within the easternmost extension of sagebrush-steppe communities is limited. Current hypotheses regarding movement patterns suggest that pronghorns initiate seasonal movements in response to severe winter weather, snowfall patterns, spatial and temporal variation in forage abundance, and availability of water. From January 2002 to August 2005, we monitored movements of 76 adult (≥1.5 years) female pronghorns on 2 study areas (Harding and Fall River counties) in western South Dakota. We collected 8,750 visual locations, calculated 204 home ranges, and documented 17 seasonal movements. Eighty-four percent (</span><i>n</i><span> = 55) of pronghorns were nonmigratory and 10% (</span><i>n</i><span> = 6) were conditional migrators. Mean distance between summer and winter range was 23.1 km (</span><i>SE</i><span> = 2.8 km, </span><i>n</i><span> = 13). Five adult pronghorns (8%) dispersed a mean distance of 37.6 km (</span><i>SE</i><span> = 12.4 km); of which 1 female moved a straight-line distance of 75.0 km. Winter and summer home-range size varied (</span><i>P</i><span> &lt; 0.0001) between study sites. Mean 95% adaptive kernel winter and summer home-range size of pronghorns was 55.5 and 19.7 km</span><sup>2</sup><span>, respectively, in Harding County and 127.2 and 65.9 km</span><sup>2</sup><span>, respectively, in Fall River County. Nonmigratory behavior exhibited by pronghorns was likely associated with minimal snow cover and moderate temperatures during winter 2002–2004. Variation in size of adult seasonal home ranges between sites was likely associated with differences in forage distribution and availability between regions.</span></p>","language":"English","publisher":"Oxford Academic","doi":"10.1644/07-MAMM-A-395.1","issn":"00222372","usgsCitation":"Jacques, C., Jenks, J., and Klaver, R., 2009, Seasonal movements and Home-range use by female pronghorns in sagebrush-steppe communities of western South Dakota: Journal of Mammalogy, v. 90, no. 2, p. 433-441, https://doi.org/10.1644/07-MAMM-A-395.1.","productDescription":"9 p.","startPage":"433","endPage":"441","numberOfPages":"9","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":476387,"rank":10000,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1644/07-mamm-a-395.1","text":"Publisher Index Page"},{"id":243118,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":215323,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1644/07-MAMM-A-395.1"}],"volume":"90","issue":"2","noUsgsAuthors":false,"publicationDate":"2009-04-14","publicationStatus":"PW","scienceBaseUri":"505b88c0e4b08c986b316b4c","contributors":{"authors":[{"text":"Jacques, C.N.","contributorId":19378,"corporation":false,"usgs":true,"family":"Jacques","given":"C.N.","email":"","affiliations":[],"preferred":false,"id":449020,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jenks, J.A.","contributorId":31726,"corporation":false,"usgs":true,"family":"Jenks","given":"J.A.","email":"","affiliations":[],"preferred":false,"id":449021,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Klaver, R. W. 0000-0002-3263-9701","orcid":"https://orcid.org/0000-0002-3263-9701","contributorId":50267,"corporation":false,"usgs":true,"family":"Klaver","given":"R. W.","affiliations":[],"preferred":false,"id":449022,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70035046,"text":"70035046 - 2009 - A prelanding assessment of the ice table depth and ground ice characteristics in Martian permafrost at the Phoenix landing site","interactions":[],"lastModifiedDate":"2019-02-18T13:03:52","indexId":"70035046","displayToPublicDate":"2009-01-01T00:00:00","publicationYear":"2009","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2317,"text":"Journal of Geophysical Research E: Planets","active":true,"publicationSubtype":{"id":10}},"title":"A prelanding assessment of the ice table depth and ground ice characteristics in Martian permafrost at the Phoenix landing site","docAbstract":"<p>We review multiple estimates of the ice table depth at potential Phoenix landing sites and consider the possible state and distribution of subsurface ice. A two-layer model of ice-rich material overlain by ice-free material is consistent with both the observational and theoretical lines of evidence. Results indicate ground ice to be shallow and ubiquitous, 2-6 cm below the surface. Undulations in the ice table depth are expected because of the thermodynamic effects of rocks, slopes, and soil variations on the scale of the Phoenix Lander and within the digging area, which can be advantageous for analysis of both dry surficial soils and buried ice-rich materials. The ground ice at the ice table to be sampled by the Phoenix Lander is expected to be geologically young because of recent climate oscillations. However, estimates of the ratio of soil to ice in the ice-rich subsurface layer suggest that that the ice content exceeds the available pore space, which is difficult to reconcile with existing ground ice stability and dynamics models. These high concentrations of ice may be the result of either the burial of surface snow during times of higher obliquity, initially high-porosity soils, or the migration of water along thin films. Measurement of the D/H ratio within the ice at the ice table and of the soil-to-ice ratio, as well as imaging ice-soil textures, will help determine if the ice is indeed young and if the models of the effects of climate change on the ground ice are reasonable.</p>","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Geophysical Research E: Planets","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"American Geophysical Union","publisherLocation":"Washington, D.C.","doi":"10.1029/2007JE003067","issn":"01480227","usgsCitation":"Mellon, M.T., Boynton, W.V., Feldman, W.C., Arvidson, R.E., Titus, T.N., Bandfield, J.L., Putzig, N.E., and Sizemore, H., 2009, A prelanding assessment of the ice table depth and ground ice characteristics in Martian permafrost at the Phoenix landing site: Journal of Geophysical Research E: Planets, v. 114, no. 3, 14 p., https://doi.org/10.1029/2007JE003067.","productDescription":"14 p.","costCenters":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"links":[{"id":476327,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2007je003067","text":"Publisher Index Page"},{"id":243119,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Mars","volume":"114","issue":"3","noUsgsAuthors":false,"publicationDate":"2008-11-18","publicationStatus":"PW","scienceBaseUri":"5059e4ebe4b0c8380cd46a18","contributors":{"authors":[{"text":"Mellon, Michael T.","contributorId":8603,"corporation":false,"usgs":false,"family":"Mellon","given":"Michael","email":"","middleInitial":"T.","affiliations":[{"id":7037,"text":"Southwest Research Institute, Boulder, Colorado","active":true,"usgs":false}],"preferred":false,"id":449029,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Boynton, William V.","contributorId":213347,"corporation":false,"usgs":false,"family":"Boynton","given":"William","email":"","middleInitial":"V.","affiliations":[],"preferred":false,"id":449024,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Feldman, William C.","contributorId":61733,"corporation":false,"usgs":true,"family":"Feldman","given":"William","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":449023,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Arvidson, Raymond E.","contributorId":106626,"corporation":false,"usgs":false,"family":"Arvidson","given":"Raymond","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":449026,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Titus, Timothy N. 0000-0003-0700-4875 ttitus@usgs.gov","orcid":"https://orcid.org/0000-0003-0700-4875","contributorId":146,"corporation":false,"usgs":true,"family":"Titus","given":"Timothy","email":"ttitus@usgs.gov","middleInitial":"N.","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":449027,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Bandfield, Joshua L.","contributorId":140356,"corporation":false,"usgs":false,"family":"Bandfield","given":"Joshua","email":"","middleInitial":"L.","affiliations":[{"id":13469,"text":"Space Science Institute, Boulder, Colorado, USA","active":true,"usgs":false}],"preferred":false,"id":449025,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Putzig, Nathaniel E. 0000-0003-4485-6321","orcid":"https://orcid.org/0000-0003-4485-6321","contributorId":208684,"corporation":false,"usgs":true,"family":"Putzig","given":"Nathaniel","email":"","middleInitial":"E.","affiliations":[{"id":13179,"text":"Planetary Science Institute","active":true,"usgs":false}],"preferred":false,"id":449028,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Sizemore, H.G.","contributorId":86195,"corporation":false,"usgs":false,"family":"Sizemore","given":"H.G.","email":"","affiliations":[{"id":13179,"text":"Planetary Science Institute","active":true,"usgs":false}],"preferred":false,"id":449030,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70035051,"text":"70035051 - 2009 - Testing the importance of auditory detections in avian point counts","interactions":[],"lastModifiedDate":"2012-03-12T17:21:56","indexId":"70035051","displayToPublicDate":"2009-01-01T00:00:00","publicationYear":"2009","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2284,"text":"Journal of Field Ornithology","active":true,"publicationSubtype":{"id":10}},"title":"Testing the importance of auditory detections in avian point counts","docAbstract":"Recent advances in the methods used to estimate detection probability during point counts suggest that the detection process is shaped by the types of cues available to observers. For example, models of the detection process based on distance-sampling or time-of-detection methods may yield different results for auditory versus visual cues because of differences in the factors that affect the transmission of these cues from a bird to an observer or differences in an observer's ability to localize cues. Previous studies suggest that auditory detections predominate in forested habitats, but it is not clear how often observers hear birds prior to detecting them visually. We hypothesized that auditory cues might be even more important than previously reported, so we conducted an experiment in a forested habitat in North Carolina that allowed us to better separate auditory and visual detections. Three teams of three observers each performed simultaneous 3-min unlimited-radius point counts at 30 points in a mixed-hardwood forest. One team member could see, but not hear birds, one could hear, but not see, and the third was nonhandicapped. Of the total number of birds detected, 2.9% were detected by deafened observers, 75.1% by blinded observers, and 78.2% by nonhandicapped observers. Detections by blinded and nonhandicapped observers were the same only 54% of the time. Our results suggest that the detection of birds in forest habitats is almost entirely by auditory cues. Because many factors affect the probability that observers will detect auditory cues, the accuracy and precision of avian point count estimates are likely lower than assumed by most field ornithologists. ?? 2009 Association of Field Ornithologists.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Field Ornithology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1111/j.1557-9263.2009.00220.x","issn":"02738570","usgsCitation":"Brewster, J., and Simons, T., 2009, Testing the importance of auditory detections in avian point counts: Journal of Field Ornithology, v. 80, no. 2, p. 178-182, https://doi.org/10.1111/j.1557-9263.2009.00220.x.","startPage":"178","endPage":"182","numberOfPages":"5","costCenters":[],"links":[{"id":215387,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1111/j.1557-9263.2009.00220.x"},{"id":243186,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"80","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505ba5d5e4b08c986b320cf1","contributors":{"authors":[{"text":"Brewster, J.P.","contributorId":38801,"corporation":false,"usgs":true,"family":"Brewster","given":"J.P.","email":"","affiliations":[],"preferred":false,"id":449049,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Simons, T.R.","contributorId":56334,"corporation":false,"usgs":true,"family":"Simons","given":"T.R.","email":"","affiliations":[],"preferred":false,"id":449050,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70036722,"text":"70036722 - 2009 - Effects of sampling interval on spatial patterns and statistics of watershed nitrogen concentration","interactions":[],"lastModifiedDate":"2012-03-12T17:21:57","indexId":"70036722","displayToPublicDate":"2009-01-01T00:00:00","publicationYear":"2009","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1722,"text":"GIScience and Remote Sensing","active":true,"publicationSubtype":{"id":10}},"title":"Effects of sampling interval on spatial patterns and statistics of watershed nitrogen concentration","docAbstract":"This study investigates how spatial patterns and statistics of a 30 m resolution, model-simulated, watershed nitrogen concentration surface change with sampling intervals from 30 m to 600 m for every 30 m increase for the Little River Watershed (Georgia, USA). The results indicate that the mean, standard deviation, and variogram sills do not have consistent trends with increasing sampling intervals, whereas the variogram ranges remain constant. A sampling interval smaller than or equal to 90 m is necessary to build a representative variogram. The interpolation accuracy, clustering level, and total hot spot areas show decreasing trends approximating a logarithmic function. The trends correspond to the nitrogen variogram and start to level at a sampling interval of 360 m, which is therefore regarded as a critical spatial scale of the Little River Watershed. Copyright ?? 2009 by Bellwether Publishing, Ltd. All right reserved.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"GIScience and Remote Sensing","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.2747/1548-1603.46.2.172","issn":"15481603","usgsCitation":"Wu, S., Usery, E., Finn, M., and Bosch, D., 2009, Effects of sampling interval on spatial patterns and statistics of watershed nitrogen concentration: GIScience and Remote Sensing, v. 46, no. 2, p. 172-186, https://doi.org/10.2747/1548-1603.46.2.172.","startPage":"172","endPage":"186","numberOfPages":"15","costCenters":[],"links":[{"id":476142,"rank":10000,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.2747/1548-1603.46.2.172","text":"Publisher Index Page"},{"id":217851,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.2747/1548-1603.46.2.172"},{"id":245823,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"46","issue":"2","noUsgsAuthors":false,"publicationDate":"2013-05-15","publicationStatus":"PW","scienceBaseUri":"505a07bde4b0c8380cd517e8","contributors":{"authors":[{"text":"Wu, S.-S.D.","contributorId":105567,"corporation":false,"usgs":true,"family":"Wu","given":"S.-S.D.","email":"","affiliations":[],"preferred":false,"id":457512,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Usery, E.L.","contributorId":45355,"corporation":false,"usgs":true,"family":"Usery","given":"E.L.","email":"","affiliations":[],"preferred":false,"id":457510,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Finn, M.P.","contributorId":73246,"corporation":false,"usgs":true,"family":"Finn","given":"M.P.","email":"","affiliations":[],"preferred":false,"id":457511,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bosch, D.D.","contributorId":10223,"corporation":false,"usgs":true,"family":"Bosch","given":"D.D.","affiliations":[],"preferred":false,"id":457509,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70036721,"text":"70036721 - 2009 - Spatial and seasonal variations in mercury methylation and microbial community structure in a historic mercury mining area, Yolo County, California","interactions":[],"lastModifiedDate":"2012-03-12T17:22:01","indexId":"70036721","displayToPublicDate":"2009-01-01T00:00:00","publicationYear":"2009","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1213,"text":"Chemical Geology","active":true,"publicationSubtype":{"id":10}},"title":"Spatial and seasonal variations in mercury methylation and microbial community structure in a historic mercury mining area, Yolo County, California","docAbstract":"The relationships between soil parent lithology, nutrient concentrations, microbial biomass and community structure were evaluated in soils from a small watershed impacted by historic Hg mining. Upland and wetland soils, stream sediments and tailings were collected and analyzed for nutrients (DOC, SO<sub>4</sub><sup>=</sup>, NO<sub>3</sub><sup>-</sup>), Hg, MeHg, and phospholipid fatty acids (PLFA). Stream sediment was derived from serpentinite, siltstone, volcanic rocks and mineralized serpentine with cinnabar, metacinnabar and other Hg phases. Soils from different parent materials had distinct PLFA biomass and community structures that are related to nutrient concentrations and toxicity effects of trace metals including Hg. The formation of MeHg appears to be most strongly linked to soil moisture, which in turn has a correlative relationship with PLFA biomass in wetland soils. The greatest concentrations of MeHg (&gt; 0.5??ng g<sup>- 1</sup> MeHg) were measured in wetland soils and soil with a volcanic parent (9.5-37????g g<sup>- 1</sup> Hg). Mercury methylation was associated with sulfate-reducing bacteria, including Desulfobacter sp. and Desulfovibrio sp., although these organisms are not exclusively responsible for Hg methylation. Statistical models of the data demonstrated that soil microbial communities varied more with soil type than with season.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Chemical Geology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1016/j.chemgeo.2009.03.031","issn":"00092541","usgsCitation":"Holloway, J., Goldhaber, M., Scow, K., and Drenovsky, R., 2009, Spatial and seasonal variations in mercury methylation and microbial community structure in a historic mercury mining area, Yolo County, California: Chemical Geology, v. 267, no. 1-2, p. 85-95, https://doi.org/10.1016/j.chemgeo.2009.03.031.","startPage":"85","endPage":"95","numberOfPages":"11","costCenters":[],"links":[{"id":217850,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.chemgeo.2009.03.031"},{"id":245822,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"267","issue":"1-2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505b942ee4b08c986b31a8f6","contributors":{"authors":[{"text":"Holloway, J.M. 0000-0003-3603-7668","orcid":"https://orcid.org/0000-0003-3603-7668","contributorId":103041,"corporation":false,"usgs":true,"family":"Holloway","given":"J.M.","affiliations":[],"preferred":false,"id":457506,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Goldhaber, M. B. 0000-0002-1785-4243","orcid":"https://orcid.org/0000-0002-1785-4243","contributorId":103280,"corporation":false,"usgs":true,"family":"Goldhaber","given":"M. B.","affiliations":[],"preferred":false,"id":457507,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Scow, K.M.","contributorId":44735,"corporation":false,"usgs":true,"family":"Scow","given":"K.M.","email":"","affiliations":[],"preferred":false,"id":457505,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Drenovsky, R.E.","contributorId":107987,"corporation":false,"usgs":true,"family":"Drenovsky","given":"R.E.","email":"","affiliations":[],"preferred":false,"id":457508,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70036712,"text":"70036712 - 2009 -  Response of Sandhill Crane (Grus canadensis) riverine roosting habitat to changes in stage and sandbar morphology","interactions":[],"lastModifiedDate":"2019-10-21T06:46:31","indexId":"70036712","displayToPublicDate":"2009-01-01T00:00:00","publicationYear":"2009","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3301,"text":"River Research and Applications","active":true,"publicationSubtype":{"id":10}},"title":" Response of Sandhill Crane (Grus canadensis) riverine roosting habitat to changes in stage and sandbar morphology","docAbstract":"Over the past century, flow regulation and vegetation encroachment have reduced active channel widths along the central Platte River, Nebraska. During the last two decades, an annual program of in-channel vegetation management has been implemented to stabilize or expand active channel widths. Vegetation management practices are intended to enhance riverine habitats which include nocturnal roosting habitat for sandhill cranes. Evaluating the success of other management treatments such as streamflow modification requires an understanding of how flow shapes the sandbars in the river and how sandbar morphology interacts with flow to create crane habitat. These linkages were investigated along a 1-km managed river reach by comparing the spatial pattern of riverine roosts and emergent sandbars identified with aerial infrared imagery to variables computed with a two-dimensional hydraulic model. Nocturnal observations made multiple years showed that the area and patterns of riverine roosts and emergent sandbars and the densities of cranes within roosts changed with stage. Despite sandbar vegetation management, low flows were concentrated into incised channels rather than spread out over broad sandbars. The flow model was used to compute hydraulic variables for identical streamflows through two sandbar morphologies; one following a period of relatively high flow and the other following the low-flow period. Compared with the simulation using the morphology from the antecedent high flow, the simulation using the morphology from the antecedent low flow produced a smaller quantity of available wetted area. These remote-sensing observations and hydraulic simulations illustrate the importance of considering flow history when designing streamflows to manage in-channel habitat for cranes.","language":"English","publisher":"Wiley","doi":"10.1002/rra.1103","issn":"15351459","usgsCitation":"Kinzel, P., Nelson, J.M., and Heckman, A., 2009,  Response of Sandhill Crane (Grus canadensis) riverine roosting habitat to changes in stage and sandbar morphology: River Research and Applications, v. 25, no. 2, p. 135-152, https://doi.org/10.1002/rra.1103.","productDescription":"18 p.","startPage":"135","endPage":"152","numberOfPages":"18","costCenters":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"links":[{"id":245670,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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M.","contributorId":68687,"corporation":false,"usgs":true,"family":"Nelson","given":"J.","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":457475,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Heckman, A.K.","contributorId":67760,"corporation":false,"usgs":true,"family":"Heckman","given":"A.K.","email":"","affiliations":[],"preferred":false,"id":457474,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70036705,"text":"70036705 - 2009 - Methods for assessing movement path recursion with application to African buffalo in South Africa","interactions":[],"lastModifiedDate":"2012-03-12T17:21:58","indexId":"70036705","displayToPublicDate":"2009-01-01T00:00:00","publicationYear":"2009","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1465,"text":"Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Methods for assessing movement path recursion with application to African buffalo in South Africa","docAbstract":"Recent developments of automated methods for monitoring animal movement, e.g., global positioning systems (GPS) technology, yield high-resolution spatiotemporal data. To gain insights into the processes creating movement patterns, we present two new techniques for extracting information from these data on repeated visits to a particular site or patch (\"recursions\"). Identification of such patches and quantification of recursion pathways, when combined with patch-related ecological data, should contribute to our understanding of the habitat requirements of large herbivores, of factors governing their space-use patterns, and their interactions with the ecosystem. We begin by presenting output from a simple spatial model that simulates movements of large-herbivore groups based on minimal parameters: resource availability and rates of resource recovery after a local depletion. We then present the details of our new techniques of analyses (recursion analysis and circle analysis) and apply them to data generated by our model, as well as two sets of empirical data on movements of African buffalo (Syncerus coffer): the first collected in Klaserie Private Nature Reserve and the second in Kruger National Park, South Africa. Our recursion analyses of model outputs provide us with a basis for inferring aspects of the processes governing the production of buffalo recursion patterns, particularly the potential influence of resource recovery rate. Although the focus of our simulations was a comparison of movement patterns produced by different resource recovery rates, we conclude our paper with a comprehensive discussion of how recursion analyses can be used when appropriate ecological data are available to elucidate various factors influencing movement. Inter alia, these include the various limiting and preferred resources, parasites, and topographical and landscape factors. ?? 2009 by the Ecological Society of America.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Ecology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1890/08-1532.1","issn":"00129658","usgsCitation":"Bar-David, S., Bar-David, I., Cross, P., Ryan, S., Knechtel, C., and Getz, W., 2009, Methods for assessing movement path recursion with application to African buffalo in South Africa: Ecology, v. 90, no. 9, p. 2467-2479, https://doi.org/10.1890/08-1532.1.","startPage":"2467","endPage":"2479","numberOfPages":"13","costCenters":[],"links":[{"id":476255,"rank":10000,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1890/08-1532.1","text":"Publisher Index Page"},{"id":217622,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1890/08-1532.1"},{"id":245579,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"90","issue":"9","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a559de4b0c8380cd6d242","contributors":{"authors":[{"text":"Bar-David, S.","contributorId":66097,"corporation":false,"usgs":true,"family":"Bar-David","given":"S.","email":"","affiliations":[],"preferred":false,"id":457447,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bar-David, I.","contributorId":66098,"corporation":false,"usgs":true,"family":"Bar-David","given":"I.","email":"","affiliations":[],"preferred":false,"id":457448,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cross, P.C.","contributorId":48141,"corporation":false,"usgs":true,"family":"Cross","given":"P.C.","email":"","affiliations":[],"preferred":false,"id":457445,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ryan, S.J.","contributorId":49637,"corporation":false,"usgs":true,"family":"Ryan","given":"S.J.","email":"","affiliations":[],"preferred":false,"id":457446,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Knechtel, C.U.","contributorId":8313,"corporation":false,"usgs":true,"family":"Knechtel","given":"C.U.","email":"","affiliations":[],"preferred":false,"id":457444,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Getz, W.M.","contributorId":7669,"corporation":false,"usgs":true,"family":"Getz","given":"W.M.","affiliations":[],"preferred":false,"id":457443,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70035064,"text":"70035064 - 2009 - V<sub>P</sub> Structure of Mount St. Helens, Washington, USA, imaged with local earthquake tomography","interactions":[],"lastModifiedDate":"2012-03-12T17:21:53","indexId":"70035064","displayToPublicDate":"2009-01-01T00:00:00","publicationYear":"2009","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2499,"text":"Journal of Volcanology and Geothermal Research","active":true,"publicationSubtype":{"id":10}},"title":"V<sub>P</sub> Structure of Mount St. Helens, Washington, USA, imaged with local earthquake tomography","docAbstract":"We present a new P-wave velocity model for Mount St. Helens using local earthquake data recorded by the Pacific Northwest Seismograph Stations and Cascades Volcano Observatory since the 18 May 1980 eruption. These data were augmented with records from a dense array of 19 temporary stations deployed during the second half of 2005. Because the distribution of earthquakes in the study area is concentrated beneath the volcano and within two nearly linear trends, we used a graded inversion scheme to compute a coarse-grid model that focused on the regional structure, followed by a fine-grid inversion to improve spatial resolution directly beneath the volcanic edifice. The coarse-grid model results are largely consistent with earlier geophysical studies of the area; we find high-velocity anomalies NW and NE of the edifice that correspond with igneous intrusions and a prominent low-velocity zone NNW of the edifice that corresponds with the linear zone of high seismicity known as the St. Helens Seismic Zone. This low-velocity zone may continue past Mount St. Helens to the south at depths below 5??km. Directly beneath the edifice, the fine-grid model images a low-velocity zone between about 2 and 3.5??km below sea level that may correspond to a shallow magma storage zone. And although the model resolution is poor below about 6??km, we found low velocities that correspond with the aseismic zone between about 5.5 and 8??km that has previously been modeled as the location of a large magma storage volume. ?? 2009 Elsevier B.V.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Volcanology and Geothermal Research","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1016/j.jvolgeores.2009.02.009","issn":"03770273","usgsCitation":"Waite, G., and Moran, S., 2009, V<sub>P</sub> Structure of Mount St. Helens, Washington, USA, imaged with local earthquake tomography: Journal of Volcanology and Geothermal Research, v. 182, no. 1-2, p. 113-122, https://doi.org/10.1016/j.jvolgeores.2009.02.009.","startPage":"113","endPage":"122","numberOfPages":"10","costCenters":[],"links":[{"id":215144,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.jvolgeores.2009.02.009"},{"id":242922,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"182","issue":"1-2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505bc0e3e4b08c986b32a394","contributors":{"authors":[{"text":"Waite, G.P.","contributorId":82121,"corporation":false,"usgs":true,"family":"Waite","given":"G.P.","email":"","affiliations":[],"preferred":false,"id":449116,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Moran, S.C. 0000-0001-7308-9649","orcid":"https://orcid.org/0000-0001-7308-9649","contributorId":78896,"corporation":false,"usgs":true,"family":"Moran","given":"S.C.","affiliations":[],"preferred":false,"id":449115,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70035065,"text":"70035065 - 2009 - CHRONOS architecture: Experiences with an open-source services-oriented architecture for geoinformatics","interactions":[],"lastModifiedDate":"2012-03-12T17:21:53","indexId":"70035065","displayToPublicDate":"2009-01-01T00:00:00","publicationYear":"2009","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1315,"text":"Computers & Geosciences","printIssn":"0098-3004","active":true,"publicationSubtype":{"id":10}},"title":"CHRONOS architecture: Experiences with an open-source services-oriented architecture for geoinformatics","docAbstract":"CHRONOS's purpose is to transform Earth history research by seamlessly integrating stratigraphic databases and tools into a virtual on-line stratigraphic record. In this paper, we describe the various components of CHRONOS's distributed data system, including the encoding of semantic and descriptive data into a service-based architecture. We give examples of how we have integrated well-tested resources available from the open-source and geoinformatic communities, like the GeoSciML schema and the simple knowledge organization system (SKOS), into the services-oriented architecture to encode timescale and phylogenetic synonymy data. We also describe on-going efforts to use geospatially enhanced data syndication and informally including semantic information by embedding it directly into the XHTML Document Object Model (DOM). XHTML DOM allows machine-discoverable descriptive data such as licensing and citation information to be incorporated directly into data sets retrieved by users. ?? 2008 Elsevier Ltd. All rights reserved.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Computers and Geosciences","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1016/j.cageo.2008.02.035","issn":"00983004","usgsCitation":"Fils, D., Cervato, C., Reed, J., Diver, P., Tang, X., Bohling, G., and Greer, D., 2009, CHRONOS architecture: Experiences with an open-source services-oriented architecture for geoinformatics: Computers & Geosciences, v. 35, no. 4, p. 774-782, https://doi.org/10.1016/j.cageo.2008.02.035.","startPage":"774","endPage":"782","numberOfPages":"9","costCenters":[],"links":[{"id":215145,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.cageo.2008.02.035"},{"id":242923,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"35","issue":"4","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5059f2cfe4b0c8380cd4b3b9","contributors":{"authors":[{"text":"Fils, D.","contributorId":91318,"corporation":false,"usgs":true,"family":"Fils","given":"D.","email":"","affiliations":[],"preferred":false,"id":449122,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cervato, C.","contributorId":70201,"corporation":false,"usgs":true,"family":"Cervato","given":"C.","email":"","affiliations":[],"preferred":false,"id":449120,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Reed, J.","contributorId":98966,"corporation":false,"usgs":false,"family":"Reed","given":"J.","affiliations":[],"preferred":false,"id":449123,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Diver, P.","contributorId":23779,"corporation":false,"usgs":true,"family":"Diver","given":"P.","affiliations":[],"preferred":false,"id":449117,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Tang, X.","contributorId":43082,"corporation":false,"usgs":true,"family":"Tang","given":"X.","email":"","affiliations":[],"preferred":false,"id":449118,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Bohling, G.","contributorId":60789,"corporation":false,"usgs":true,"family":"Bohling","given":"G.","email":"","affiliations":[],"preferred":false,"id":449119,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Greer, D.","contributorId":84997,"corporation":false,"usgs":true,"family":"Greer","given":"D.","email":"","affiliations":[],"preferred":false,"id":449121,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70035067,"text":"70035067 - 2009 - Seasonal source-sink dynamics at the edge of a species' range","interactions":[],"lastModifiedDate":"2012-03-12T17:21:53","indexId":"70035067","displayToPublicDate":"2009-01-01T00:00:00","publicationYear":"2009","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1465,"text":"Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Seasonal source-sink dynamics at the edge of a species' range","docAbstract":"The roles of dispersal and population dynamics in determining species' range boundaries recently have received theoretical attention but little empirical work. Here we provide data on survival, reproduction, and movement for a Virginia opossum (Didelphis virginiana) population at a local distributional edge in central Massachusetts (USA). Most juvenile females that apparently exploited anthropogenic resources survived their first winter, whereas those using adjacent natural resources died of starvation. In spring, adult females recolonized natural areas. A life-table model suggests that a population exploiting anthropogenic resources may grow, acting as source to a geographically interlaced sink of opossums using only natural resources, and also providing emigrants for further range expansion to new human-dominated landscapes. In a geographical model, this source-sink dynamic is consistent with the local distribution identified through road-kill surveys. The Virginia opossum's exploitation of human resources likely ameliorates energetically restrictive winters and may explain both their local distribution and their northward expansion in unsuitable natural climatic regimes. Landscape heterogeneity, such as created by urbanization, may result in source-sink dynamics at highly localized scales. Differential fitness and individual dispersal movements within local populations are key to generating regional distributions, and thus species ranges, that exceed expectations. ?? 2009 by the Ecological Society of America.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Ecology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1890/08-1263.1","issn":"00129658","usgsCitation":"Kanda, L., Fuller, T., Sievert, P., and Kellogg, R., 2009, Seasonal source-sink dynamics at the edge of a species' range: Ecology, v. 90, no. 6, p. 1574-1585, https://doi.org/10.1890/08-1263.1.","startPage":"1574","endPage":"1585","numberOfPages":"12","costCenters":[],"links":[{"id":242959,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":215177,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1890/08-1263.1"}],"volume":"90","issue":"6","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505b88d8e4b08c986b316bd0","contributors":{"authors":[{"text":"Kanda, L.L.","contributorId":74978,"corporation":false,"usgs":true,"family":"Kanda","given":"L.L.","email":"","affiliations":[],"preferred":false,"id":449127,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fuller, T.K.","contributorId":98252,"corporation":false,"usgs":true,"family":"Fuller","given":"T.K.","email":"","affiliations":[],"preferred":false,"id":449128,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sievert, P.R.","contributorId":104858,"corporation":false,"usgs":true,"family":"Sievert","given":"P.R.","email":"","affiliations":[],"preferred":false,"id":449129,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kellogg, R.L.","contributorId":74080,"corporation":false,"usgs":true,"family":"Kellogg","given":"R.L.","email":"","affiliations":[],"preferred":false,"id":449126,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70035075,"text":"70035075 - 2009 - Environmental and climatic variables as potential drivers of post-fire cover of cheatgrass (Bromus tectorum) in seeded and unseeded semiarid ecosystems","interactions":[],"lastModifiedDate":"2012-03-12T17:21:57","indexId":"70035075","displayToPublicDate":"2009-01-01T00:00:00","publicationYear":"2009","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2083,"text":"International Journal of Wildland Fire","active":true,"publicationSubtype":{"id":10}},"title":"Environmental and climatic variables as potential drivers of post-fire cover of cheatgrass (Bromus tectorum) in seeded and unseeded semiarid ecosystems","docAbstract":"Cheatgrass, a non-native annual grass, dominates millions of hectares in semiarid ecosystems of the Intermountain West (USA). Post-fire invasions can reduce native species diversity and alter ecological processes. To curb cheatgrass invasion, land managers often seed recently burned areas with perennial competitor species. We sampled vegetation within burned (19 years post-fire) and nearby unburned (representing pre-fire) pionjuniper (Pinus edulisJuniperus osteosperma) woodland and sagebrush (Artemisia sp.) in western Colorado to analyze variables that might explain cheatgrass cover after fire. A multiple regression model suggests higher cheatgrass cover after fire with: (1) sagebrush v. pionjuniper; (2) higher pre-fire cover of annual forbs; (3) increased time since fire; (4) lower pre-fire cover of biological soil crust; and (5) lower precipitation the year before fire. Time since fire, which coincided with higher precipitation, accounts for most of the variability in cheatgrass cover. No significant difference was found in mean cheatgrass cover between seeded and unseeded plots over time. However, negative relationships with pre-fire biological soil crust cover and native species richness suggest livestock-degraded areas are more susceptible to post-fire invasion. Proactive strategies for combating cheatgrass should include finding effective native competitors and restoring livestock-degraded areas. ?? 2009 IAWF.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"International Journal of Wildland Fire","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1071/WF07043","issn":"10498001","usgsCitation":"Shinneman, D., and Baker, W., 2009, Environmental and climatic variables as potential drivers of post-fire cover of cheatgrass (Bromus tectorum) in seeded and unseeded semiarid ecosystems: International Journal of Wildland Fire, v. 18, no. 2, p. 191-202, https://doi.org/10.1071/WF07043.","startPage":"191","endPage":"202","numberOfPages":"12","costCenters":[],"links":[{"id":215326,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1071/WF07043"},{"id":243121,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"18","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a099be4b0c8380cd51fb1","contributors":{"authors":[{"text":"Shinneman, D.J.","contributorId":71015,"corporation":false,"usgs":true,"family":"Shinneman","given":"D.J.","email":"","affiliations":[],"preferred":false,"id":449188,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Baker, W.L.","contributorId":89471,"corporation":false,"usgs":true,"family":"Baker","given":"W.L.","email":"","affiliations":[],"preferred":false,"id":449189,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70035076,"text":"70035076 - 2009 - Generalized analytical model for benthic water flux forced by surface gravity waves","interactions":[],"lastModifiedDate":"2012-03-12T17:21:57","indexId":"70035076","displayToPublicDate":"2009-01-01T00:00:00","publicationYear":"2009","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2315,"text":"Journal of Geophysical Research C: Oceans","active":true,"publicationSubtype":{"id":10}},"title":"Generalized analytical model for benthic water flux forced by surface gravity waves","docAbstract":"A generalized analytical model for benthic water flux forced by linear surface gravity waves over a series of layered hydrogeologic units is developed by adapting a previous solution for a hydrogeologic unit with an infinite thickness (Case I) to a unit with a finite thickness (Case II) and to a dual-unit system (Case III). The model compares favorably with laboratory observations. The amplitude of wave-forced benthic water flux is shown to be directly proportional to the amplitude of the wave, the permeability of the hydrogeologic unit, and the wave number and inversely proportional to the kinematic viscosity of water. A dimensionless amplitude parameter is introduced and shown to reach a maximum where the product of water depth and the wave number is 1.2. Submarine groundwater discharge (SGD) is a benthic water discharge flux to a marine water body. The Case I model estimates an 11.5-cm/d SGD forced by a wave with a 1 s period and 5-cm amplitude in water that is 0.5-m deep. As this wave propagates into a region with a 0.3-m-thick hydrogeologic unit, with a no-flow bottom boundary, the Case II model estimates a 9.7-cm/d wave-forced SGD. As this wave propagates into a region with a 0.2-m-thick hydrogeologic unit over an infinitely thick, more permeable unit, the Case III quasi-confined model estimates a 15.7-cm/d wave-forced SGD. The quasi-confined model has benthic constituent flux implications in coral reef, karst, and clastic regions. Waves may undermine tracer and seepage meter estimates of SGD at some locations. Copyright 2009 by the American Geophysical Union.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Geophysical Research C: Oceans","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1029/2008JC005116","issn":"01480227","usgsCitation":"King, J., Mehta, A., and Dean, R., 2009, Generalized analytical model for benthic water flux forced by surface gravity waves: Journal of Geophysical Research C: Oceans, v. 114, no. 4, https://doi.org/10.1029/2008JC005116.","costCenters":[],"links":[{"id":476516,"rank":10000,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2008jc005116","text":"Publisher Index Page"},{"id":215327,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1029/2008JC005116"},{"id":243122,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"114","issue":"4","noUsgsAuthors":false,"publicationDate":"2009-04-11","publicationStatus":"PW","scienceBaseUri":"505a1518e4b0c8380cd54cb9","contributors":{"authors":[{"text":"King, J.N.","contributorId":81326,"corporation":false,"usgs":true,"family":"King","given":"J.N.","email":"","affiliations":[],"preferred":false,"id":449192,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mehta, A.J.","contributorId":59602,"corporation":false,"usgs":true,"family":"Mehta","given":"A.J.","email":"","affiliations":[],"preferred":false,"id":449190,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dean, R.G.","contributorId":61665,"corporation":false,"usgs":true,"family":"Dean","given":"R.G.","email":"","affiliations":[],"preferred":false,"id":449191,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70035077,"text":"70035077 - 2009 - Intra-annual NDVI validation of the Landsat 5 TM radiometric calibration","interactions":[],"lastModifiedDate":"2017-04-03T14:59:21","indexId":"70035077","displayToPublicDate":"2009-01-01T00:00:00","publicationYear":"2009","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":"Intra-annual NDVI validation of the Landsat 5 TM radiometric calibration","docAbstract":"<p><span>Multispectral data from the Landsat 5 (L5) Thematic Mapper (TM) sensor provide the backbone of the extensive archive of moderate‐resolution Earth imagery. Even after more than 24 years of service, the L5 TM is still operational. Given the longevity of the satellite, the detectors have aged and the sensor's radiometric characteristics have changed since launch. The calibration procedures and parameters in the National Land Archive Production System (NLAPS) have also changed with time. Revised radiometric calibrations in 2003 and 2007 have improved the radiometric accuracy of recently processed data. This letter uses the Normalized Difference Vegetation Index (NDVI) as a metric to evaluate the radiometric calibration. The calibration change has improved absolute calibration accuracy, consistency over time, and consistency with Landsat 7 (L7) Enhanced Thematic radiometry and will provide the basis for continued long‐term studies of the Earth's land surfaces.</span></p>","language":"English","publisher":"Taylor & Francis","doi":"10.1080/01431160802524545","issn":"01431161","usgsCitation":"Chander, G., and Groeneveld, D., 2009, Intra-annual NDVI validation of the Landsat 5 TM radiometric calibration: International Journal of Remote Sensing, v. 30, no. 6, p. 1621-1628, https://doi.org/10.1080/01431160802524545.","productDescription":"8 p.","startPage":"1621","endPage":"1628","numberOfPages":"8","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":243155,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":215358,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1080/01431160802524545"}],"volume":"30","issue":"6","noUsgsAuthors":false,"publicationDate":"2009-04-22","publicationStatus":"PW","scienceBaseUri":"505a3dbae4b0c8380cd637c0","contributors":{"authors":[{"text":"Chander, G.","contributorId":51449,"corporation":false,"usgs":true,"family":"Chander","given":"G.","affiliations":[],"preferred":false,"id":449193,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Groeneveld, D.P.","contributorId":77161,"corporation":false,"usgs":true,"family":"Groeneveld","given":"D.P.","email":"","affiliations":[],"preferred":false,"id":449194,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70035100,"text":"70035100 - 2009 - Toward a comprehensive areal model of earthquake-induced landslides","interactions":[],"lastModifiedDate":"2012-03-12T17:21:53","indexId":"70035100","displayToPublicDate":"2009-01-01T00:00:00","publicationYear":"2009","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2823,"text":"Natural Hazards Review","active":true,"publicationSubtype":{"id":10}},"title":"Toward a comprehensive areal model of earthquake-induced landslides","docAbstract":"This paper provides a review of regional-scale modeling of earthquake-induced landslide hazard with respect to the needs for disaster risk reduction and sustainable development. Based on this review, it sets out important research themes and suggests computing with words (CW), a methodology that includes fuzzy logic systems, as a fruitful modeling methodology for addressing many of these research themes. A range of research, reviewed here, has been conducted applying CW to various aspects of earthquake-induced landslide hazard zonation, but none facilitate comprehensive modeling of all types of earthquake-induced landslides. A new comprehensive areal model of earthquake-induced landslides (CAMEL) is introduced here that was developed using fuzzy logic systems. CAMEL provides an integrated framework for modeling all types of earthquake-induced landslides using geographic information systems. CAMEL is designed to facilitate quantitative and qualitative representation of terrain conditions and knowledge about these conditions on the likely areal concentration of each landslide type. CAMEL is highly modifiable and adaptable; new knowledge can be easily added, while existing knowledge can be changed to better match local knowledge and conditions. As such, CAMEL should not be viewed as a complete alternative to other earthquake-induced landslide models. CAMEL provides an open framework for incorporating other models, such as Newmark's displacement method, together with previously incompatible empirical and local knowledge. ?? 2009 ASCE.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Natural Hazards Review","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1061/(ASCE)1527-6988(2009)10:1(19)","issn":"15276988","usgsCitation":"Miles, S., and Keefer, D.K., 2009, Toward a comprehensive areal model of earthquake-induced landslides: Natural Hazards Review, v. 10, no. 1, p. 19-28, https://doi.org/10.1061/(ASCE)1527-6988(2009)10:1(19).","startPage":"19","endPage":"28","numberOfPages":"10","costCenters":[],"links":[{"id":215178,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1061/(ASCE)1527-6988(2009)10:1(19)"},{"id":242960,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"10","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505bb5ade4b08c986b32680f","contributors":{"authors":[{"text":"Miles, S.B.","contributorId":68908,"corporation":false,"usgs":true,"family":"Miles","given":"S.B.","email":"","affiliations":[],"preferred":false,"id":449307,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Keefer, D. K.","contributorId":21176,"corporation":false,"usgs":true,"family":"Keefer","given":"D.","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":449306,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70035101,"text":"70035101 - 2009 - A spatial model of bird abundance as adjusted for detection probability","interactions":[],"lastModifiedDate":"2012-03-12T17:21:53","indexId":"70035101","displayToPublicDate":"2009-01-01T00:00:00","publicationYear":"2009","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1445,"text":"Ecography","active":true,"publicationSubtype":{"id":10}},"title":"A spatial model of bird abundance as adjusted for detection probability","docAbstract":"Modeling the spatial distribution of animals can be complicated by spatial and temporal effects (i.e. spatial autocorrelation and trends in abundance over time) and other factors such as imperfect detection probabilities and observation-related nuisance variables. Recent advances in modeling have demonstrated various approaches that handle most of these factors but which require a degree of sampling effort (e.g. replication) not available to many field studies. We present a two-step approach that addresses these challenges to spatially model species abundance. Habitat, spatial and temporal variables were handled with a Bayesian approach which facilitated modeling hierarchically structured data. Predicted abundance was subsequently adjusted to account for imperfect detection and the area effectively sampled for each species. We provide examples of our modeling approach for two endemic Hawaiian nectarivorous honeycreepers: 'i'iwi Vestiaria coccinea and 'apapane Himatione sanguinea. ?? 2009 Ecography.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Ecography","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1111/j.1600-0587.2008.05646.x","issn":"09067590","usgsCitation":"Gorresen, P.M., Mcmillan, G., Camp, R., and Pratt, T., 2009, A spatial model of bird abundance as adjusted for detection probability: Ecography, v. 32, no. 2, p. 291-298, https://doi.org/10.1111/j.1600-0587.2008.05646.x.","startPage":"291","endPage":"298","numberOfPages":"8","costCenters":[],"links":[{"id":476428,"rank":10000,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/j.1600-0587.2008.05646.x","text":"Publisher Index Page"},{"id":215179,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1111/j.1600-0587.2008.05646.x"},{"id":242961,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"32","issue":"2","noUsgsAuthors":false,"publicationDate":"2009-05-13","publicationStatus":"PW","scienceBaseUri":"5059e5a0e4b0c8380cd46e9e","contributors":{"authors":[{"text":"Gorresen, P. M. mgorresen@usgs.gov","contributorId":18552,"corporation":false,"usgs":true,"family":"Gorresen","given":"P.","email":"mgorresen@usgs.gov","middleInitial":"M.","affiliations":[],"preferred":false,"id":449309,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mcmillan, G.P.","contributorId":60871,"corporation":false,"usgs":true,"family":"Mcmillan","given":"G.P.","email":"","affiliations":[],"preferred":false,"id":449310,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Camp, R.J.","contributorId":89097,"corporation":false,"usgs":true,"family":"Camp","given":"R.J.","email":"","affiliations":[],"preferred":false,"id":449311,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Pratt, T.K.","contributorId":13717,"corporation":false,"usgs":true,"family":"Pratt","given":"T.K.","email":"","affiliations":[],"preferred":false,"id":449308,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70035276,"text":"70035276 - 2009 - The glacial/deglacial history of sedimentation in Bear Lake, Utah and Idaho","interactions":[],"lastModifiedDate":"2012-03-12T17:21:53","indexId":"70035276","displayToPublicDate":"2009-01-01T00:00:00","publicationYear":"2009","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3459,"text":"Special Paper of the Geological Society of America","active":true,"publicationSubtype":{"id":10}},"title":"The glacial/deglacial history of sedimentation in Bear Lake, Utah and Idaho","docAbstract":"Bear Lake, in northeastern Utah and southern Idaho, lies in a large valley formed by an active half-graben. Bear River, the largest river in the Great Basin, enters Bear Lake Valley ???15 km north of the lake. Two 4-m-long cores provide a lake sediment record extending back ???26 cal k.y. The penetrated section can be divided into a lower unit composed of quartz-rich clastic sediments and an upper unit composed largely of endogenic carbonate. Data from modern fluvial sediments provide the basis for interpreting changes in provenance of detrital material in the lake cores. Sediments from small streams draining elevated topography on the east and west sides of the lake are characterized by abundant dolomite, high magnetic susceptibility (MS) related to eolian magnetite, and low values of hard isothermal remanent magnetization (HIRM, indicative of hematite content). In contrast, sediments from the headwaters of the Bear River in the Uinta Mountains lack carbonate and have high HIRM and low MS. Sediments from lower reaches of the Bear River contain calcite but little dolomite and have low values of MS and HIRM. These contrasts in catchment properties allow interpretation of the following sequence from variations in properties of the lake sediment: (1) ca. 26 cal ka-onset of glaciation; (2) ca. 26-20 cal ka-quasicyclical, millennial-scale variations in the concentrations of hematite-rich glacial fl our derived from the Uinta Mountains, and dolomite- and magnetite-rich material derived from the local Bear Lake catchment (reflecting variations in glacial extent); (3) ca. 20-19 cal ka-maximum content of glacial fl our; (4) ca. 19-17 cal ka-constant content of Bear River sediment but declining content of glacial fl our from the Uinta Mountains; (5) ca. 17-15.5 cal ka-decline in Bear River sediment and increase in content of sediment from the local catchment; and (6) ca. 15.5-14.5 cal ka-increase in content of endogenic calcite at the expense of detrital material. The onset of glaciation indicated in the Bear Lake record postdates the initial rise of Lake Bonneville and roughly corresponds to the Stansbury shoreline. The lake record indicates that maximum glaciation occurred as Lake Bonneville reached its maximum extent ca. 20 cal ka and that deglaciation was under way while Lake Bonneville remained at its peak. The transition from siliciclastic to carbonate sedimentation probably indicates increasingly evaporative conditions and may coincide with the climatically driven fall of Lake Bonneville from the Provo shoreline. Although lake levels fluctuated during the Younger Dryas, the Bear Lake record for this period is more consistent with drier conditions, rather than cooler, moister conditions interpreted from many studies from western North America. Copyright ?? 2009 The Geological Society of America.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Special Paper of the Geological Society of America","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1130/2009.2450(11)","issn":"00721077","usgsCitation":"Rosenbaum, J.G., and Heil, C., 2009, The glacial/deglacial history of sedimentation in Bear Lake, Utah and Idaho: Special Paper of the Geological Society of America, no. 450, p. 247-261, https://doi.org/10.1130/2009.2450(11).","startPage":"247","endPage":"261","numberOfPages":"15","costCenters":[],"links":[{"id":215370,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1130/2009.2450(11)"},{"id":243167,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"issue":"450","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505bac87e4b08c986b323564","contributors":{"authors":[{"text":"Rosenbaum, J. G.","contributorId":96685,"corporation":false,"usgs":true,"family":"Rosenbaum","given":"J.","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":449988,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Heil, C.W. Jr.","contributorId":26901,"corporation":false,"usgs":true,"family":"Heil","given":"C.W.","suffix":"Jr.","email":"","affiliations":[],"preferred":false,"id":449987,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70035281,"text":"70035281 - 2009 - Nesting ecology of greater sage-grouse Centrocercus urophasianus at the eastern edge of their historic distribution","interactions":[],"lastModifiedDate":"2021-03-16T19:49:59.524267","indexId":"70035281","displayToPublicDate":"2009-01-01T00:00:00","publicationYear":"2009","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3766,"text":"Wildlife Biology","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Nesting ecology of greater sage-grouse <i>Centrocercus urophasianus</i> at the eastern edge of their historic distribution","title":"Nesting ecology of greater sage-grouse Centrocercus urophasianus at the eastern edge of their historic distribution","docAbstract":"<p><span>Greater sage-grouse&nbsp;</span><i>Centrocercus urophasianus</i><span>&nbsp;populations in North Dakota declined approximately 67% between 1965 and 2003, and the species is listed as a Priority Level 1 Species of Special Concern by the North Dakota Game and Fish Department. The habitat and ecology of the species at the eastern edge of its historical range is largely unknown. We investigated nest site selection by greater sage-grouse and nest survival in North Dakota during 2005 – 2006. Sage-grouse selected nest sites in sagebrush&nbsp;</span><i>Artemisia</i><span>&nbsp;spp. with more total vegetative cover, greater sagebrush density, and greater 1-m visual obstruction from the nest than at random sites. Height of grass and shrub (sagebrush) at nest sites were shorter than at random sites, because areas where sagebrush was common were sites in low seral condition or dense clay or clay-pan soils with low productivity. Constant survival estimates of incubated nests were 33% in 2005 and 30% in 2006. Variables that described the resource selection function for nests were not those that modeled nest survival. Nest survival was positively influenced by percentage of shrub (sagebrush) cover and grass height. Daily nest survival decreased substantially when percentage of shrub cover declined below about 9% and when grass heights were less than about 16 cm. Daily nest survival rates decreased with increased daily precipitation.</span></p>","language":"English","publisher":"Nordic Board for Wildlife Research","doi":"10.2981/09-005","usgsCitation":"Herman-Brunson, K., Jensen, K.C., Kaczor, N.W., Swanson, C.C., Rumble, M.A., and Klaver, R., 2009, Nesting ecology of greater sage-grouse Centrocercus urophasianus at the eastern edge of their historic distribution: Wildlife Biology, v. 15, no. 3, p. 237-246, https://doi.org/10.2981/09-005.","productDescription":"10 p.","startPage":"237","endPage":"246","numberOfPages":"10","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":476404,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"http://www.bioone.org/doi/10.2981/09-005","text":"Publisher Index Page"},{"id":243234,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"15","issue":"3","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a64c1e4b0c8380cd72a5a","contributors":{"authors":[{"text":"Herman-Brunson, K. M.","contributorId":22981,"corporation":false,"usgs":true,"family":"Herman-Brunson","given":"K. M.","affiliations":[],"preferred":false,"id":450003,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jensen, K. C.","contributorId":16671,"corporation":false,"usgs":false,"family":"Jensen","given":"K.","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":450002,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kaczor, N. W.","contributorId":81707,"corporation":false,"usgs":false,"family":"Kaczor","given":"N.","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":450007,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Swanson, C. C.","contributorId":34238,"corporation":false,"usgs":false,"family":"Swanson","given":"C.","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":450005,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Rumble, M. A.","contributorId":32747,"corporation":false,"usgs":false,"family":"Rumble","given":"M.","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":450004,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Klaver, R. W. 0000-0002-3263-9701","orcid":"https://orcid.org/0000-0002-3263-9701","contributorId":50267,"corporation":false,"usgs":true,"family":"Klaver","given":"R. W.","affiliations":[],"preferred":false,"id":450006,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70036632,"text":"70036632 - 2009 - Size distribution of submarine landslides along the U.S. Atlantic margin","interactions":[],"lastModifiedDate":"2017-11-18T10:02:23","indexId":"70036632","displayToPublicDate":"2009-01-01T00:00:00","publicationYear":"2009","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2667,"text":"Marine Geology","active":true,"publicationSubtype":{"id":10}},"title":"Size distribution of submarine landslides along the U.S. Atlantic margin","docAbstract":"Assessment of the probability for destructive landslide-generated tsunamis depends on the knowledge of the number, size, and frequency of large submarine landslides. This paper investigates the size distribution of submarine landslides along the U.S. Atlantic continental slope and rise using the size of the landslide source regions (landslide failure scars). Landslide scars along the margin identified in a detailed bathymetric Digital Elevation Model (DEM) have areas that range between 0.89??km<sup>2</sup> and 2410??km<sup>2</sup> and volumes between 0.002??km<sup>3</sup> and 179??km<sup>3</sup>. The area to volume relationship of these failure scars is almost linear (inverse power-law exponent close to 1), suggesting a fairly uniform failure thickness of a few 10s of meters in each event, with only rare, deep excavating landslides. The cumulative volume distribution of the failure scars is very well described by a log-normal distribution rather than by an inverse power-law, the most commonly used distribution for both subaerial and submarine landslides. A log-normal distribution centered on a volume of 0.86??km<sup>3</sup> may indicate that landslides preferentially mobilize a moderate amount of material (on the order of 1??km<sup>3</sup>), rather than large landslides or very small ones. Alternatively, the log-normal distribution may reflect an inverse power law distribution modified by a size-dependent probability of observing landslide scars in the bathymetry data. If the latter is the case, an inverse power-law distribution with an exponent of 1.3 ?? 0.3, modified by a size-dependent conditional probability of identifying more failure scars with increasing landslide size, fits the observed size distribution. This exponent value is similar to the predicted exponent of 1.2 ?? 0.3 for subaerial landslides in unconsolidated material. Both the log-normal and modified inverse power-law distributions of the observed failure scar volumes suggest that large landslides, which have the greatest potential to generate damaging tsunamis, occur infrequently along the margin. ?? 2008 Elsevier B.V.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Marine Geology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1016/j.margeo.2008.08.007","issn":"00253227","usgsCitation":"Chaytor, J., ten Brink, U., Solow, A., and Andrews, B., 2009, Size distribution of submarine landslides along the U.S. Atlantic margin: Marine Geology, v. 264, no. 1-2, p. 16-27, https://doi.org/10.1016/j.margeo.2008.08.007.","startPage":"16","endPage":"27","numberOfPages":"12","costCenters":[],"links":[{"id":245424,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":217474,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.margeo.2008.08.007"}],"volume":"264","issue":"1-2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505b911ae4b08c986b319769","contributors":{"authors":[{"text":"Chaytor, J.D.","contributorId":80936,"corporation":false,"usgs":true,"family":"Chaytor","given":"J.D.","affiliations":[],"preferred":false,"id":457074,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"ten Brink, Uri S. 0000-0001-6858-3001 utenbrink@usgs.gov","orcid":"https://orcid.org/0000-0001-6858-3001","contributorId":127560,"corporation":false,"usgs":true,"family":"ten Brink","given":"Uri S.","email":"utenbrink@usgs.gov","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true},{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true}],"preferred":false,"id":457075,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Solow, A.R.","contributorId":9404,"corporation":false,"usgs":true,"family":"Solow","given":"A.R.","email":"","affiliations":[],"preferred":false,"id":457073,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Andrews, B.D.","contributorId":87737,"corporation":false,"usgs":true,"family":"Andrews","given":"B.D.","email":"","affiliations":[],"preferred":false,"id":457076,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70036631,"text":"70036631 - 2009 - Airborne gamma-ray and magnetic anomaly signatures of serpentinite in relation to soil geochemistry, northern California","interactions":[],"lastModifiedDate":"2012-03-12T17:22:08","indexId":"70036631","displayToPublicDate":"2009-01-01T00:00:00","publicationYear":"2009","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":835,"text":"Applied Geochemistry","active":true,"publicationSubtype":{"id":10}},"title":"Airborne gamma-ray and magnetic anomaly signatures of serpentinite in relation to soil geochemistry, northern California","docAbstract":"Serpentinized ultramafic rocks and associated soils in northern California are characterized by high concentrations of Cr and Ni, low levels of radioelements (K, Th, and U) and high amounts of ferrimagnetic minerals (primarily magnetite). Geophysical attributes over ultramafic rocks, which include airborne gamma-ray and magnetic anomaly data, are quantified and provide indirect measurements on the relative abundance of radioelements and magnetic minerals, respectively. Attributes are defined through a statistical modeling approach and the results are portrayed as probabilities in chart and map form. Two predictive models are presented, including one derived from the aeromagnetic anomaly data and one from a combination of the airborne K, Th and U gamma-ray data. Both models distinguish preferential values within the aerogeophysical data that coincide with mapped and potentially unmapped ultramafic rocks. The magnetic predictive model shows positive probabilities associated with magnetic anomaly highs and, to a lesser degree, anomaly lows, which accurately locate many known ultramafic outcrops, but more interestingly, locate potentially unmapped ultramafic rocks, possible extensions of ultramafic bodies that dip into the shallow subsurface, as well as prospective buried ultramafic rocks. The airborne radiometric model shows positive probabilities in association with anomalously low gamma radiation measurements over ultramafic rock, which is similar to that produced by gabbro, metavolcanic rock, and water bodies. All of these features share the characteristic of being depleted in K, Th and U. Gabbro is the only rock type in the study area that shares similar magnetic properties with the ultramafic rock. The aerogeophysical model results are compared to the distribution of ultramafic outcrops and to Cr, Ni, K, Th and U concentrations and magnetic susceptibility measurements from soil samples. Analysis of the soil data indicates high positive correlation between magnetic susceptibilities and concentration of Cr and Ni. Although the study focused on characterizing the geophysical properties of ultramafic rocks and associated soils, it has also yielded information on other rock types in addition to ultramafic rocks, which can also locally host naturally-occurring asbestos; specifically, gabbro and metavolcanic rocks.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Applied Geochemistry","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1016/j.apgeochem.2009.04.007","issn":"08832927","usgsCitation":"McCafferty, A.E., and Van Gosen, B.S., 2009, Airborne gamma-ray and magnetic anomaly signatures of serpentinite in relation to soil geochemistry, northern California: Applied Geochemistry, v. 24, no. 8, p. 1524-1537, https://doi.org/10.1016/j.apgeochem.2009.04.007.","startPage":"1524","endPage":"1537","numberOfPages":"14","costCenters":[],"links":[{"id":245395,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":217446,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.apgeochem.2009.04.007"}],"volume":"24","issue":"8","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5059e920e4b0c8380cd480f6","contributors":{"authors":[{"text":"McCafferty, A. E.","contributorId":93499,"corporation":false,"usgs":true,"family":"McCafferty","given":"A.","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":457071,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Van Gosen, B. S. 0000-0003-4214-3811","orcid":"https://orcid.org/0000-0003-4214-3811","contributorId":97907,"corporation":false,"usgs":true,"family":"Van Gosen","given":"B.","middleInitial":"S.","affiliations":[],"preferred":false,"id":457072,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70036629,"text":"70036629 - 2009 - Assessment of lake sensitivity to acidic deposition in national parks of the Rocky Mountains","interactions":[],"lastModifiedDate":"2012-12-25T14:19:24","indexId":"70036629","displayToPublicDate":"2009-01-01T00:00:00","publicationYear":"2009","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1450,"text":"Ecological Applications","active":true,"publicationSubtype":{"id":10}},"title":"Assessment of lake sensitivity to acidic deposition in national parks of the Rocky Mountains","docAbstract":"The sensitivity of high-elevation lakes to acidic deposition was evaluated in five national parks of the Rocky Mountains based on statistical relations between lake acid-neutralizing capacity concentrations and basin characteristics. Acid-neutralizing capacity (ANC) of 151 lakes sampled during synoptic surveys and basin-characteristic information derived from geographic information system (GIS) data sets were used to calibrate the statistical models. The explanatory basin variables that were considered included topographic parameters, bedrock type, and vegetation type. A logistic regression model was developed, and modeling results were cross-validated through lake sampling during fall 2004 at 58 lakes. The model was applied to lake basins greater than 1 ha in area in Glacier National Park (<i>n</i> = 244 lakes), Grand Teton National Park (<i>n</i> = 106 lakes), Great Sand Dunes National Park and Preserve (<i>n</i> = 11 lakes), Rocky Mountain National Park (<i>n</i> = 114 lakes), and Yellowstone National Park (<i>n</i> = 294 lakes). Lakes that had a high probability of having an ANC concentration <100 μeq/L, and therefore sensitive to acidic deposition, are located in basins with elevations >3000 m, with <30% of the catchment having northeast aspect and with >80% of the catchment bedrock having low buffering capacity. The modeling results indicate that the most sensitive lakes are located in Rocky Mountain National Park and Grand Teton National Park. This technique for evaluating the lake sensitivity to acidic deposition is useful for designing long-term monitoring plans and is potentially transferable to other remote mountain areas of the United States and the world.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Ecological Applications","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Ecological Society of America","publisherLocation":"Ithaca, NY","doi":"10.1890/07-1091.1","issn":"10510761","usgsCitation":"Nanus, L., Williams, M., Campbell, K., Tonnessen, K., Blett, T., and Clow, D.W., 2009, Assessment of lake sensitivity to acidic deposition in national parks of the Rocky Mountains: Ecological Applications, v. 19, no. 4, p. 961-973, https://doi.org/10.1890/07-1091.1.","productDescription":"13 p.","startPage":"961","endPage":"973","costCenters":[{"id":639,"text":"Water Resources of the United States","active":false,"usgs":true}],"links":[{"id":476299,"rank":10000,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1890/07-1091.1","text":"Publisher Index Page"},{"id":217845,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1890/07-1091.1"},{"id":245817,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Colorado;Idaho;Montana;Wyoming","otherGeospatial":"Glacier National Park;Grand Teton National Park;Great Sand Dunes National Park And Preserve;Rocky Mountain National Park;Yellowstone National Park","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -114.48,37.66 ], [ -114.48,49.0 ], [ -105.43,49.0 ], [ -105.43,37.66 ], [ -114.48,37.66 ] ] ] } } ] }","volume":"19","issue":"4","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5059ee3ce4b0c8380cd49c3f","contributors":{"authors":[{"text":"Nanus, L.","contributorId":83239,"corporation":false,"usgs":true,"family":"Nanus","given":"L.","affiliations":[],"preferred":false,"id":457068,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Williams, M.W.","contributorId":15565,"corporation":false,"usgs":true,"family":"Williams","given":"M.W.","email":"","affiliations":[],"preferred":false,"id":457063,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Campbell, K.","contributorId":63351,"corporation":false,"usgs":false,"family":"Campbell","given":"K.","affiliations":[{"id":47665,"text":"St. Anthony Falls Laboratory, University of Minnesota, Minneapolis, MN, USA","active":true,"usgs":false}],"preferred":false,"id":457066,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Tonnessen, K.A.","contributorId":30196,"corporation":false,"usgs":true,"family":"Tonnessen","given":"K.A.","email":"","affiliations":[],"preferred":false,"id":457065,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Blett, T.","contributorId":67828,"corporation":false,"usgs":true,"family":"Blett","given":"T.","email":"","affiliations":[],"preferred":false,"id":457067,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Clow, D. W.","contributorId":23531,"corporation":false,"usgs":true,"family":"Clow","given":"D.","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":457064,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70036617,"text":"70036617 - 2009 - Quantifying sub-pixel urban impervious surface through fusion of optical and inSAR imagery","interactions":[],"lastModifiedDate":"2021-03-03T13:42:28.943058","indexId":"70036617","displayToPublicDate":"2009-01-01T00:00:00","publicationYear":"2009","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1722,"text":"GIScience and Remote Sensing","active":true,"publicationSubtype":{"id":10}},"title":"Quantifying sub-pixel urban impervious surface through fusion of optical and inSAR imagery","docAbstract":"<p><span>In this study, we explored the potential to improve urban impervious surface modeling and mapping with the synergistic use of optical and Interferometric Synthetic Aperture Radar (InSAR) imagery. We used a Classification and Regression Tree (CART)-based approach to test the feasibility and accuracy of quantifying Impervious Surface Percentage (ISP) using four spectral bands of SPOT 5 high-resolution geometric (HRG) imagery and three parameters derived from the European Remote Sensing (ERS)-2 Single Look Complex (SLC) SAR image pair. Validated by an independent ISP reference dataset derived from the 33 cm-resolution digital aerial photographs, results show that the addition of InSAR data reduced the ISP modeling error rate from 15.5% to 12.9% and increased the correlation coefficient from 0.71 to 0.77. Spatially, the improvement is especially noted in areas of vacant land and bare ground, which were incorrectly mapped as urban impervious surfaces when using the optical remote sensing data. In addition, the accuracy of ISP prediction using InSAR images alone is only marginally less than that obtained by using SPOT imagery. The finding indicates the potential of using InSAR data for frequent monitoring of urban settings located in cloud-prone areas.</span></p>","language":"English","publisher":"Taylor & Francis","doi":"10.2747/1548-1603.46.2.161","issn":"15481603","usgsCitation":"Yang, L., Jiang, L., Lin, H., and Liao, M., 2009, Quantifying sub-pixel urban impervious surface through fusion of optical and inSAR imagery: GIScience and Remote Sensing, v. 46, no. 2, p. 161-171, https://doi.org/10.2747/1548-1603.46.2.161.","productDescription":"11 p.","startPage":"161","endPage":"171","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":383721,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United  States","state":"China","city":"Hong Kong","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              113.79638671875,\n              22.111088065307705\n            ],\n            [\n              114.47753906249999,\n              22.111088065307705\n            ],\n            [\n              114.47753906249999,\n              22.598797546832557\n            ],\n            [\n              113.79638671875,\n              22.598797546832557\n            ],\n            [\n              113.79638671875,\n              22.111088065307705\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"46","issue":"2","noUsgsAuthors":false,"publicationDate":"2013-05-15","publicationStatus":"PW","scienceBaseUri":"505a91dfe4b0c8380cd804fe","contributors":{"authors":[{"text":"Yang, L.","contributorId":6200,"corporation":false,"usgs":true,"family":"Yang","given":"L.","affiliations":[],"preferred":false,"id":457017,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jiang, L.","contributorId":107530,"corporation":false,"usgs":true,"family":"Jiang","given":"L.","email":"","affiliations":[],"preferred":false,"id":457020,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lin, H.","contributorId":17854,"corporation":false,"usgs":true,"family":"Lin","given":"H.","email":"","affiliations":[],"preferred":false,"id":457018,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Liao, M.","contributorId":86600,"corporation":false,"usgs":true,"family":"Liao","given":"M.","email":"","affiliations":[],"preferred":false,"id":457019,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70036615,"text":"70036615 - 2009 - Regional estimates of reef carbonate dynamics and productivity Using Landsat 7 ETM+, and potential impacts from ocean acidification","interactions":[],"lastModifiedDate":"2012-03-12T17:22:01","indexId":"70036615","displayToPublicDate":"2009-01-01T00:00:00","publicationYear":"2009","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2663,"text":"Marine Ecology Progress Series","active":true,"publicationSubtype":{"id":10}},"title":"Regional estimates of reef carbonate dynamics and productivity Using Landsat 7 ETM+, and potential impacts from ocean acidification","docAbstract":"Using imagery at 30 m spatial resolution from the most recent Landsat satellite, the Landsat 7 Enhanced Thematic Mapper Plus (ETM+), we scale up reef metabolic productivity and calcification from local habitat-scale (10 <sup>-1</sup> to 10<sup>0</sup> km<sup>2</sup>) measurements to regional scales (10<sup>3</sup> to 10<sup>4</sup> km<sup>2</sup>). Distribution and spatial extent of the North Florida Reef Tract (NFRT) habitats come from supervised classification of the Landsat imagery within independent Landsat-derived Millennium Coral Reef Map geomorphologic classes. This system minimizes the depth range and variability of benthic habitat characteristics found in the area of supervised classification and limits misclassification. Classification of Landsat imagery into 5 biotopes (sand, dense live cover, sparse live cover, seagrass, and sparse seagrass) by geomorphologic class is &gt;73% accurate at regional scales. Based on recently published habitat-scale in situ metabolic measurements, gross production (P = 3.01 ?? 10<sup>9</sup> kg C yr <sup>-1</sup>), excess production (E = -5.70 ?? 10<sup>8</sup> kg C yr <sup>-1</sup>), and calcification (G = -1.68 ?? 10<sup>6</sup> kg CaCO <sub>3</sub> yr<sup>-1</sup>) are estimated over 2711 km<sup>2</sup> of the NFRT. Simple models suggest sensitivity of these values to ocean acidification, which will increase local dissolution of carbonate sediments. Similar approaches could be applied over large areas with poorly constrained bathymetry or water column properties and minimal metabolic sampling. This tool has potential applications for modeling and monitoring large-scale environmental impacts on reef productivity, such as the influence of ocean acidification on coral reef environments. ?? Inter-Research 2009.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Marine Ecology Progress Series","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.3354/meps07920","issn":"01718630","usgsCitation":"Moses, C., Andrefouet, S., Kranenburg, C., and Muller-Karger, F., 2009, Regional estimates of reef carbonate dynamics and productivity Using Landsat 7 ETM+, and potential impacts from ocean acidification: Marine Ecology Progress Series, v. 380, p. 103-115, https://doi.org/10.3354/meps07920.","startPage":"103","endPage":"115","numberOfPages":"13","costCenters":[],"links":[{"id":487884,"rank":10000,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3354/meps07920","text":"Publisher Index Page"},{"id":245630,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":217671,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.3354/meps07920"}],"volume":"380","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"50e4a4c6e4b0e8fec6cdbc63","contributors":{"authors":[{"text":"Moses, C.S.","contributorId":47617,"corporation":false,"usgs":true,"family":"Moses","given":"C.S.","email":"","affiliations":[],"preferred":false,"id":457013,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Andrefouet, S.","contributorId":43134,"corporation":false,"usgs":true,"family":"Andrefouet","given":"S.","affiliations":[],"preferred":false,"id":457012,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kranenburg, C.","contributorId":88585,"corporation":false,"usgs":true,"family":"Kranenburg","given":"C.","affiliations":[],"preferred":false,"id":457015,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Muller-Karger, F. E.","contributorId":84542,"corporation":false,"usgs":true,"family":"Muller-Karger","given":"F. E.","affiliations":[],"preferred":false,"id":457014,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
]}