Strong westerly winds that emanate from San Gorgonio Pass, the lowest point between Palm Springs and Los Angeles, California, dominate aeolian transport in the Coachella Valley of the western Sonoran Desert. These winds deposit sand in coppice dunes that are critical habitat for several species, including the state and federally listed threatened species Uma inornata, a lizard. Although wind directions are generally defined in this valley, the wind field has complex interactions with local topography and becomes more variable with distance from the pass. Local, dominant wind directions are preserved by growth patterns of Larrea tridentata (creosote bush), a shrub characteristic of the hot North American deserts, and ventifacts. Exceptionally long-lived, Larrea has the potential to preserve wind direction over centuries to millennia, shaped by the abrasive pruning of windward branches and the persistent training of leeward branches. Wind direction preserved in Larrea individuals and clones was mapped at 192 locations. Compared with wind data from three weather stations, Larrea vectors effectively reflect annual prevailing winds. Ventifacts measured at 24 locations record winds 10° more westerly than Larrea and appear to reflect the direction of the most erosive winds. Based on detailed mapping of local wind directions as preserved in Larrea, only the northern half of the Mission-Morongo Creek floodplain is likely to supply sand to protected U. inornata habitat in the Willow Hole ecological reserve.
\n
The Landscape Fire and Resource Management Planning Tools (LANDFIRE) Project is mapping wildland fuels, vegetation, and fire regime characteristics across the United States. The LANDFIRE project is unique because of its national scope, creating an integrated product suite at 30-m spatial resolution and complete spatial coverage of all lands within the 50 states. Here we describe development of the LANDFIRE wildland fuels data layers for the conterminous 48 states: surface fire behavior fuel models, canopy bulk density, canopy base height, canopy cover, and canopy height. Surface fire behavior fuel models are mapped by developing crosswalks to vegetation structure and composition created by LANDFIRE. Canopy fuels are mapped using regression trees relating field-referenced estimates of canopy base height and canopy bulk density to satellite imagery, biophysical gradients and vegetation structure and composition data. Here we focus on the methods and data used to create the fuel data products, discuss problems encountered with the data, provide an accuracy assessment, demonstrate recent use of the data during the 2007 fire season, and discuss ideas for updating, maintaining and improving LANDFIRE fuel data products.
","language":"English","publisher":"CSIRO","doi":"10.1071/WF08086","issn":"10498001","usgsCitation":"Reeves, M., Ryan, K., Rollins, M., and Thompson, T., 2009, Spatial fuel data products of the LANDFIRE Project: International Journal of Wildland Fire, v. 18, no. 3, p. 250-267, https://doi.org/10.1071/WF08086.","productDescription":"18 p.","startPage":"250","endPage":"267","numberOfPages":"18","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":245728,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":217764,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1071/WF08086"}],"volume":"18","issue":"3","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505b947ce4b08c986b31ab07","contributors":{"authors":[{"text":"Reeves, M.C.","contributorId":15047,"corporation":false,"usgs":true,"family":"Reeves","given":"M.C.","email":"","affiliations":[],"preferred":false,"id":457358,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ryan, K.C.","contributorId":34455,"corporation":false,"usgs":true,"family":"Ryan","given":"K.C.","email":"","affiliations":[],"preferred":false,"id":457361,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rollins, M.G.","contributorId":30434,"corporation":false,"usgs":true,"family":"Rollins","given":"M.G.","email":"","affiliations":[],"preferred":false,"id":457360,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Thompson, T.G.","contributorId":26911,"corporation":false,"usgs":true,"family":"Thompson","given":"T.G.","email":"","affiliations":[],"preferred":false,"id":457359,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70036086,"text":"70036086 - 2009 - Characterization of Mars' seasonal caps using neutron spectroscopy","interactions":[],"lastModifiedDate":"2012-03-12T17:22:02","indexId":"70036086","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":"Characterization of Mars' seasonal caps using neutron spectroscopy","docAbstract":"Mars' seasonal caps are characterized during Mars years 26 and 27 (April 2002 to January 2006) using data acquired by the 2001 Mars Odyssey Neutron Spectrometer. Time-dependent maps of the column abundance of seasonal CO 2 surface ice poleward of 60?? latitude in both hemispheres are determined from spatially deconvolved, epithermal neutron counting data. Sources of systematic error are analyzed, including spatial blurring by the spectrometer's broad footprint and the seasonal variations in the abundance of noncondensable gas at high southern latitudes, which are found to be consistent with results reported by Sprague et al. (2004, 2007). Corrections for spatial blurring are found to be important during the recession, when the column abundance of seasonal CO2 ice has the largest latitude gradient. The measured distribution and inventory of seasonal CO2 ice is compared to simulations by a general circulation model (GCM) calibrated using Viking lander pressure data, cap edge functions determined by thermal emission spectroscopy, and other nuclear spectroscopy data sets. On the basis of the amount of CO2 cycled through the caps during years 26 and 27, the gross polar energy balance has not changed significantly since Viking. The distribution of seasonal CO2 ice is longitudinally asymmetric: in the north, deposition rates of CO2 ice are elevated in Acidalia, which is exposed to katabatic winds from Chasma Borealis; in the south, CO2 deposition is highest near the residual cap. During southern recession, CO 2 ice is present longer than calculated by the GCM, which has implications for the local polar energy balance. Copyright 2009 by the American Geophysical Union.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Geophysical Research E: Planets","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1029/2008JE003275","issn":"01480227","usgsCitation":"Prettyman, T., Feldman, W.C., and Titus, T., 2009, Characterization of Mars' seasonal caps using neutron spectroscopy: Journal of Geophysical Research E: Planets, v. 114, no. 8, https://doi.org/10.1029/2008JE003275.","costCenters":[],"links":[{"id":476203,"rank":10000,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2008je003275","text":"Publisher Index Page"},{"id":218540,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1029/2008JE003275"},{"id":246561,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"114","issue":"8","noUsgsAuthors":false,"publicationDate":"2009-08-27","publicationStatus":"PW","scienceBaseUri":"5059f4b8e4b0c8380cd4be92","contributors":{"authors":[{"text":"Prettyman, T.H.","contributorId":43147,"corporation":false,"usgs":true,"family":"Prettyman","given":"T.H.","email":"","affiliations":[],"preferred":false,"id":454112,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Feldman, W. C.","contributorId":40767,"corporation":false,"usgs":false,"family":"Feldman","given":"W.","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":454111,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Titus, T.N.","contributorId":102615,"corporation":false,"usgs":true,"family":"Titus","given":"T.N.","email":"","affiliations":[],"preferred":false,"id":454113,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70033208,"text":"70033208 - 2009 - Depleted uranium analysis in blood by inductively coupled plasma mass spectrometry","interactions":[],"lastModifiedDate":"2012-03-12T17:21:38","indexId":"70033208","displayToPublicDate":"2009-01-01T00:00:00","publicationYear":"2009","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2155,"text":"Journal of Analytical Atomic Spectrometry","active":true,"publicationSubtype":{"id":10}},"title":"Depleted uranium analysis in blood by inductively coupled plasma mass spectrometry","docAbstract":"In this study we report depleted uranium (DU) analysis in whole blood samples. Internal exposure to DU causes increased uranium levels as well as change in the uranium isotopic composition in blood specimen. For identification of DU exposure we used the 235U/238U ratio in blood samples, which ranges from 0.00725 for natural uranium to 0.002 for depleted uranium. Uranium quantification and isotopic composition analysis were performed by inductively coupled plasma mass spectrometry. For method validation we used eight spiked blood samples with known uranium concentrations and isotopic composition. The detection limit for quantification was determined to be 4 ng L-1 uranium in whole blood. The data reproduced within 1-5% RSD and an accuracy of 1-4%. In order to achieve a 235U/238U ratio range of 0.00698-0.00752% with 99.7% confidence limit a minimum whole blood uranium concentration of 60 ng L??1 was required. An additional 10 samples from a cohort of veterans exposed to DU in Gulf War I were analyzed with no knowledge of their medical history. The measured 235U/ 238U ratios in the blood samples were used to identify the presence or absence of DU exposure within this patient group. ?? 2009 The Royal Society of Chemistry.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Analytical Atomic Spectrometry","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1039/b816058a","issn":"02679","usgsCitation":"Todorov, T., Xu, H., Ejnik, J., Mullick, F., Squibb, K., McDiarmid, M., and Centeno, J., 2009, Depleted uranium analysis in blood by inductively coupled plasma mass spectrometry: Journal of Analytical Atomic Spectrometry, v. 24, no. 2, p. 189-193, https://doi.org/10.1039/b816058a.","startPage":"189","endPage":"193","numberOfPages":"5","costCenters":[],"links":[{"id":213465,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1039/b816058a"},{"id":241091,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"24","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5059feb1e4b0c8380cd4ee86","contributors":{"authors":[{"text":"Todorov, T.I.","contributorId":10995,"corporation":false,"usgs":true,"family":"Todorov","given":"T.I.","email":"","affiliations":[],"preferred":false,"id":439833,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Xu, H.","contributorId":83331,"corporation":false,"usgs":true,"family":"Xu","given":"H.","email":"","affiliations":[],"preferred":false,"id":439839,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ejnik, J.W.","contributorId":67299,"corporation":false,"usgs":true,"family":"Ejnik","given":"J.W.","affiliations":[],"preferred":false,"id":439836,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Mullick, F.G.","contributorId":78161,"corporation":false,"usgs":true,"family":"Mullick","given":"F.G.","email":"","affiliations":[],"preferred":false,"id":439838,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Squibb, K.","contributorId":49612,"corporation":false,"usgs":true,"family":"Squibb","given":"K.","email":"","affiliations":[],"preferred":false,"id":439835,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"McDiarmid, M.A.","contributorId":25767,"corporation":false,"usgs":true,"family":"McDiarmid","given":"M.A.","email":"","affiliations":[],"preferred":false,"id":439834,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Centeno, J.A.","contributorId":73806,"corporation":false,"usgs":true,"family":"Centeno","given":"J.A.","email":"","affiliations":[],"preferred":false,"id":439837,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70035444,"text":"70035444 - 2009 - Bird population density estimated from acoustic signals","interactions":[],"lastModifiedDate":"2012-03-12T17:21:54","indexId":"70035444","displayToPublicDate":"2009-01-01T00:00:00","publicationYear":"2009","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2163,"text":"Journal of Applied Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Bird population density estimated from acoustic signals","docAbstract":"Many animal species are detected primarily by sound. Although songs, calls and other sounds are often used for population assessment, as in bird point counts and hydrophone surveys of cetaceans, there are few rigorous methods for estimating population density from acoustic data. 2. The problem has several parts - distinguishing individuals, adjusting for individuals that are missed, and adjusting for the area sampled. Spatially explicit capture-recapture (SECR) is a statistical methodology that addresses jointly the second and third parts of the problem. We have extended SECR to use uncalibrated information from acoustic signals on the distance to each source. 3. We applied this extension of SECR to data from an acoustic survey of ovenbird Seiurus aurocapilla density in an eastern US deciduous forest with multiple four-microphone arrays. We modelled average power from spectrograms of ovenbird songs measured within a window of 0??7 s duration and frequencies between 4200 and 5200 Hz. 4. The resulting estimates of the density of singing males (0??19 ha -1 SE 0??03 ha-1) were consistent with estimates of the adult male population density from mist-netting (0??36 ha-1 SE 0??12 ha-1). The fitted model predicts sound attenuation of 0??11 dB m-1 (SE 0??01 dB m-1) in excess of losses from spherical spreading. 5.Synthesis and applications. Our method for estimating animal population density from acoustic signals fills a gap in the census methods available for visually cryptic but vocal taxa, including many species of bird and cetacean. The necessary equipment is simple and readily available; as few as two microphones may provide adequate estimates, given spatial replication. The method requires that individuals detected at the same place are acoustically distinguishable and all individuals vocalize during the recording interval, or that the per capita rate of vocalization is known. We believe these requirements can be met, with suitable field methods, for a significant number of songbird species. ?? 2009 British Ecological Society.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Applied Ecology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1111/j.1365-2664.2009.01731.x","issn":"00218901","usgsCitation":"Dawson, D., and Efford, M., 2009, Bird population density estimated from acoustic signals: Journal of Applied Ecology, v. 46, no. 6, p. 1201-1209, https://doi.org/10.1111/j.1365-2664.2009.01731.x.","startPage":"1201","endPage":"1209","numberOfPages":"9","costCenters":[],"links":[{"id":487254,"rank":10000,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/j.1365-2664.2009.01731.x","text":"Publisher Index Page"},{"id":215499,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1111/j.1365-2664.2009.01731.x"},{"id":243309,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"46","issue":"6","noUsgsAuthors":false,"publicationDate":"2009-11-26","publicationStatus":"PW","scienceBaseUri":"5059f1b0e4b0c8380cd4ada8","contributors":{"authors":[{"text":"Dawson, D.K. 0000-0001-7531-212X","orcid":"https://orcid.org/0000-0001-7531-212X","contributorId":94752,"corporation":false,"usgs":true,"family":"Dawson","given":"D.K.","affiliations":[],"preferred":false,"id":450715,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Efford, M.G.","contributorId":13352,"corporation":false,"usgs":true,"family":"Efford","given":"M.G.","affiliations":[],"preferred":false,"id":450714,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70035383,"text":"70035383 - 2009 - Postimpact heat conduction and compaction-driven fluid flow in the Chesapeake Bay impact structure based on downhole vitrinite reflectance data, ICDP-USGS Eyreville deep core holes and Cape Charles test holes","interactions":[],"lastModifiedDate":"2012-03-12T17:21:53","indexId":"70035383","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":"Postimpact heat conduction and compaction-driven fluid flow in the Chesapeake Bay impact structure based on downhole vitrinite reflectance data, ICDP-USGS Eyreville deep core holes and Cape Charles test holes","docAbstract":"Vitrinite reflectance data from the International Continental Scientific Drilling Program (ICDP)-U.S. Geological Survey (USGS) Eyreville deep cores in the centralcrater moat of the Chesapeake Bay impact structure and the Cape Charles test holes on the central uplift show patterns of postimpact maximum-temperature distribution that result from a combination of conductive and advective heat flow. Within the crater-fill sediment-clast breccia sequence at Eyreville, an isoreflectance (-0.44% Ro) section (525-1096 m depth) is higher than modeled background coastal-plain maturity and shows a pattern typical of advective fluid flow. Below an intervening granite slab, a short interval of sediment-clast breccia (1371-1397 m) shows a sharp increase in reflectance (0.47%-0.91% Ro) caused by conductive heat from the underlying suevite (1397-1474 m). Refl ectance data in the uppermost suevite range from 1.2% to 2.1% Ro. However, heat conduction alone is not sufficient to affect the temperature of sediments more than 100 m above the suevite. Thermal modeling of the Eyreville suevite as a 390 ??C cooling sill-like hot rock layer supplemented by compaction- driven vertical fluid flow (0.046 m/a) of cooling suevitic fluids and deeper basement brines (120 ??C) upward through the sediment breccias closely reproduces the measured reflectance data. This scenario would also replace any marine water trapped in the crater fill with more saline brine, similar to that currently in the crater, and it would produce temperatures sufficient to kill microbes in sediment breccias within 450 m above the synimsuevite. A similar downhole maturity pattern is present in the sediment-clast breccia over the central uplift. High-reflectance (5%-9%) black shale and siltstone clasts in the suevite and sediment-clast breccia record a pre-impact (Paleozoic?) metamorphic event. Previously published maturity data in the annular trough indicate no thermal effect there from impact-related processes. ?? 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":"10.1130/2009.2458(38)","issn":"00721077","usgsCitation":"Malinconico, M., Sanford, W., and Wright, H.W., 2009, Postimpact heat conduction and compaction-driven fluid flow in the Chesapeake Bay impact structure based on downhole vitrinite reflectance data, ICDP-USGS Eyreville deep core holes and Cape Charles test holes: Special Paper of the Geological Society of America, no. 458, p. 905-930, https://doi.org/10.1130/2009.2458(38).","startPage":"905","endPage":"930","numberOfPages":"26","costCenters":[],"links":[{"id":215496,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1130/2009.2458(38)"},{"id":243306,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"issue":"458","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a7e92e4b0c8380cd7a604","contributors":{"authors":[{"text":"Malinconico, M.L.","contributorId":10689,"corporation":false,"usgs":true,"family":"Malinconico","given":"M.L.","email":"","affiliations":[],"preferred":false,"id":450398,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sanford, W. E. 0000-0002-6624-0280","orcid":"https://orcid.org/0000-0002-6624-0280","contributorId":102112,"corporation":false,"usgs":true,"family":"Sanford","given":"W. E.","affiliations":[],"preferred":false,"id":450400,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wright, Horton W.J.J. Jr.","contributorId":87428,"corporation":false,"usgs":true,"family":"Wright","given":"Horton","suffix":"Jr.","email":"","middleInitial":"W.J.J.","affiliations":[],"preferred":false,"id":450399,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70035373,"text":"70035373 - 2009 - Reproduction and microhabitat selection in a sharply declining Northern Bobwhite population","interactions":[],"lastModifiedDate":"2012-03-12T17:21:55","indexId":"70035373","displayToPublicDate":"2009-01-01T00:00:00","publicationYear":"2009","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3784,"text":"Wilson Journal of Ornithology","active":true,"publicationSubtype":{"id":10}},"title":"Reproduction and microhabitat selection in a sharply declining Northern Bobwhite population","docAbstract":"Northern Bobwhite (Colinus virginianus) populations have been declining throughout their range, but some of the sharpest declines have been documented in the Mid-Atlantic states. We conducted a 2 year (2006-2007) breeding season (1 May-30 Sep) telemetry study in southern New Jersey to collect baseline data on Northern Bobwhite reproductive rates, and nest and brood microhabitat selection. We located 23 Northern Bobwhite nests, of which 21 were usable for survival analyses. Incubation-period nest survival rate was 0.454 ?? 0.010 (95 CI =0.2800.727). Mean clutch size was 14.2 ?? 0.58 (range 10-19, n = 20) and hatching success was 96.1 ?? 2.0 (range 86-100%, n = 10). The estimated probability that an individual that entered the breeding season would initiate incubation of ???1 nest was 0.687 for females and 0.202 for males. Nest microhabitat selection was positively related to visual obstruction and percentage of litter. Brood microhabitat selection was positively related to visual obstruction, vegetation height, and percentage of forbs but negatively related to percentage of cool season grass and litter. Fecundity metrics for Northern Bobwhites in southern New Jersey appear similar to those reported elsewhere in the species' range. Conservation efforts to increase Northern Bobwhite reproductive success in southern New Jersey should focus on increasing the quantity of available breeding habitat. ?? 2009 by the Wilson Ornithological Society.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Wilson Journal of Ornithology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1676/09-040.1","issn":"15594491","usgsCitation":"Collins, B., Williams, C., and Castelli, P.M., 2009, Reproduction and microhabitat selection in a sharply declining Northern Bobwhite population: Wilson Journal of Ornithology, v. 121, no. 4, p. 688-695, https://doi.org/10.1676/09-040.1.","startPage":"688","endPage":"695","numberOfPages":"8","costCenters":[],"links":[{"id":215314,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1676/09-040.1"},{"id":243109,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"121","issue":"4","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505aa893e4b0c8380cd859a6","contributors":{"authors":[{"text":"Collins, B.M.","contributorId":33925,"corporation":false,"usgs":true,"family":"Collins","given":"B.M.","email":"","affiliations":[],"preferred":false,"id":450372,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Williams, C.K.","contributorId":8301,"corporation":false,"usgs":true,"family":"Williams","given":"C.K.","email":"","affiliations":[],"preferred":false,"id":450371,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Castelli, Paul M.","contributorId":107931,"corporation":false,"usgs":true,"family":"Castelli","given":"Paul","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":450373,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70035352,"text":"70035352 - 2009 - Hurricane frequency and landfall distribution for coastal wetlands of the Gulf coast, USA","interactions":[],"lastModifiedDate":"2012-03-12T17:21:54","indexId":"70035352","displayToPublicDate":"2009-01-01T00:00:00","publicationYear":"2009","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3750,"text":"Wetlands","onlineIssn":"1943-6246","printIssn":"0277-5212","active":true,"publicationSubtype":{"id":10}},"title":"Hurricane frequency and landfall distribution for coastal wetlands of the Gulf coast, USA","docAbstract":"The regularity and severity of tropical storms are major determinants controlling ecosystem structure and succession for coastal ecosystems. Hurricane landfall rates vary greatly with high and low frequency for given coastal stretches of the southeastern United States. Site-specific meteorological data of hurricane wind speeds and direction, however, are only available for select populated cities of relatively sparse distribution and inland from the coast. A spatial simulation model of hurricane circulation, HURASIM, was applied to reconstruct chronologies of hurricane wind speeds and vectors for northern Gulf coast locations derived from historical tracking data of North Atlantic tropical storms dating back to 1851. Contrasts of storm frequencies showed that tropical storm incidence is nearly double for Florida coastal ecosystems than the westernmost stretches of Texas coastline. Finer-scale spatial simulations for the north-central Gulf coast exhibited sub-regional differences in storm strength and frequency with coastal position and latitude. The overall pattern of storm incidence in the Gulf basin indicates that the disturbance regime of coastal areas varies greatly along the coast, inland from the coast, and temporally over the period of record. Field and modeling studies of coastal ecosystems will benefit from this retrospective analysis of hurricane incidence and intensity both on a local or regional basis. ?? 2009 The Society of Wetland Scientists.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Wetlands","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1672/08-36.1","issn":"02775212","usgsCitation":"Doyle, T., 2009, Hurricane frequency and landfall distribution for coastal wetlands of the Gulf coast, USA: Wetlands, v. 29, no. 1, p. 35-43, https://doi.org/10.1672/08-36.1.","startPage":"35","endPage":"43","numberOfPages":"9","costCenters":[],"links":[{"id":215464,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1672/08-36.1"},{"id":243272,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"29","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a32b7e4b0c8380cd5ea11","contributors":{"authors":[{"text":"Doyle, T.W. 0000-0001-5754-0671","orcid":"https://orcid.org/0000-0001-5754-0671","contributorId":16783,"corporation":false,"usgs":true,"family":"Doyle","given":"T.W.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":450299,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70194451,"text":"70194451 - 2009 - Distributed geospatial model sharing based on open interoperability standards","interactions":[],"lastModifiedDate":"2017-11-29T12:59:09","indexId":"70194451","displayToPublicDate":"2009-01-01T00:00:00","publicationYear":"2009","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5571,"text":"Journal of Remote Sensing","active":true,"publicationSubtype":{"id":10}},"title":"Distributed geospatial model sharing based on open interoperability standards","docAbstract":"Numerous geospatial computational models have been developed based on sound principles and published in journals or presented in conferences. However modelers have made few advances in the development of computable modules that facilitate sharing during model development or utilization. Constraints hampering development of model sharing technology includes limitations on computing, storage, and connectivity; traditional stand-alone and closed network systems cannot fully support sharing and integrating geospatial models. To address this need, we have identified methods for sharing geospatial computational models using Service Oriented Architecture (SOA) techniques and open geospatial standards. The service-oriented model sharing service is accessible using any tools or systems compliant with open geospatial standards, making it possible to utilize vast scientific resources available from around the world to solve highly sophisticated application problems. The methods also allow model services to be empowered by diverse computational devices and technologies, such as portable devices and GRID computing infrastructures. Based on the generic and abstract operations and data structures required for Web Processing Service (WPS) standards, we developed an interactive interface for model sharing to help reduce interoperability problems for model use. Geospatial computational models are shared on model services, where the computational processes provided by models can be accessed through tools and systems compliant with WPS. We developed a platform to help modelers publish individual models in a simplified and efficient way. Finally, we illustrate our technique using wetland hydrological models we developed for the prairie pothole region of North America.
","language":"English","publisher":"Journal of Remote Sensing","usgsCitation":"Feng, M., Liu, S., Euliss, N.H., and Fang, Y., 2009, Distributed geospatial model sharing based on open interoperability standards: Journal of Remote Sensing, v. 13, no. 6, p. 1060-1066.","productDescription":"7 p.","startPage":"1060","endPage":"1066","ipdsId":"IP-014691","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":349530,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"13","issue":"6","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a610cfbe4b06e28e9c25753","contributors":{"authors":[{"text":"Feng, Min","contributorId":75370,"corporation":false,"usgs":true,"family":"Feng","given":"Min","email":"","affiliations":[],"preferred":false,"id":723906,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Liu, Shuguang 0000-0002-6027-3479 sliu@usgs.gov","orcid":"https://orcid.org/0000-0002-6027-3479","contributorId":147403,"corporation":false,"usgs":true,"family":"Liu","given":"Shuguang","email":"sliu@usgs.gov","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":723905,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Euliss, Ned H. Jr. ceuliss@usgs.gov","contributorId":2916,"corporation":false,"usgs":true,"family":"Euliss","given":"Ned","suffix":"Jr.","email":"ceuliss@usgs.gov","middleInitial":"H.","affiliations":[],"preferred":false,"id":723904,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Fang, Yin","contributorId":200996,"corporation":false,"usgs":false,"family":"Fang","given":"Yin","email":"","affiliations":[],"preferred":false,"id":724033,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70035305,"text":"70035305 - 2009 - Trace-element record in zircons during exhumation from UHP conditions, North-East Greenland Caledonides","interactions":[],"lastModifiedDate":"2012-03-12T17:21:54","indexId":"70035305","displayToPublicDate":"2009-01-01T00:00:00","publicationYear":"2009","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1593,"text":"European Journal of Mineralogy","active":true,"publicationSubtype":{"id":10}},"title":"Trace-element record in zircons during exhumation from UHP conditions, North-East Greenland Caledonides","docAbstract":"Coesite-bearing zircon formed at ultrahigh-pressure (UHP) conditions share general characteristics of eclogite-facies zircon with trace-element signatures characterized by depleted heavy rare earth elements (HREE), lack of an Eu anomaly, and low Th/ U ratios. Trace-element signatures of zircons from the Caledonian UHP terrane in North-East Greenland were used to examine the possible changes in signature with age during exhumation. Collection and interpretation of age and trace-element analyses of zircon from three samples of quartzofeldspathic gneiss and two leucocratic intrusions were guided by core vs. rim zoning patterns as imaged by cathodoluminesence. Change from igneous to eclogite-facies metamorphic trace-element signature in protolith zircon is characterized by gradual depletion of HREE, whereas newly formed metamorphic rims have flat HREE patterns and REE concentrations that are distinct from the recrystallized inherited cores. The signature associated with eclogite-facies metamorphic zircon is observed in coesite-bearing zircon formed at 358 ?? 4 Ma, metamorphic rims formed at 348 ?? 5 Ma during the initial stages of exhumation, and metamorphic rims formed at 337 ?? 5 Ma. Zircons from a garnet-bearing granite emplaced in the neck of an eclogite boudin and a leucocratic dike that cross-cuts amphibolite-facies structural fabrics have steeply sloping HREE patterns, variably developed negative Eu anomalies, and low Th/U ratios. The granite records initial decompression melting and exhumation at 347 ?? 2 Ma and later zircon rim growth at 329 ?? 5. The leucocratic dike was likely emplaced at amphibolite-facies conditions at 330 ?? 2 Ma, but records additional growth of compositionally similar zircon at 321 ??2 Ma. The difference between the trace-element signature of metamorphic zircon in the gneisses and in part coeval leucocratic intrusions indicates that the zircon signature varies as a function of lithology and context, thus enhancing its ability to aid in the interpretation of U-Pb data and track the exhumation history of UHP terranes. The differences may reflect variation in elemental availability through breakdown reactions in quartzofeldpathic gneiss vs. availability during melt production and/or crystallization. UHP rocks in North-East Greenland began exhumation by 347 ?? 2 Ma, were still at HP eclogite-facies conditions at 337 ?? 5 Ma and were at amphibolite-facies conditions by 330 ?? 2 Ma. ?? 2009 E. Schweizerbart'sche Verlagsbuchhandlung.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"European Journal of Mineralogy","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1127/0935-1221/2009/0021-2000","issn":"09351221","usgsCitation":"McClelland, W., Gilotti, J.A., Mazdab, F., and Wooden, J.L., 2009, Trace-element record in zircons during exhumation from UHP conditions, North-East Greenland Caledonides: European Journal of Mineralogy, v. 21, no. 6, p. 1135-1148, https://doi.org/10.1127/0935-1221/2009/0021-2000.","startPage":"1135","endPage":"1148","numberOfPages":"14","costCenters":[],"links":[{"id":243103,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":215308,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1127/0935-1221/2009/0021-2000"}],"volume":"21","issue":"6","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505bb682e4b08c986b326ce6","contributors":{"authors":[{"text":"McClelland, W.C.","contributorId":66929,"corporation":false,"usgs":true,"family":"McClelland","given":"W.C.","email":"","affiliations":[],"preferred":false,"id":450103,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gilotti, J. A.","contributorId":15776,"corporation":false,"usgs":true,"family":"Gilotti","given":"J.","middleInitial":"A.","affiliations":[],"preferred":false,"id":450101,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mazdab, F.K.","contributorId":11650,"corporation":false,"usgs":true,"family":"Mazdab","given":"F.K.","email":"","affiliations":[],"preferred":false,"id":450100,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wooden, J. L.","contributorId":58678,"corporation":false,"usgs":true,"family":"Wooden","given":"J.","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":450102,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70035294,"text":"70035294 - 2009 - A habitat assessment for Florida panther population expansion into central Florida","interactions":[],"lastModifiedDate":"2016-04-13T14:41:51","indexId":"70035294","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":"A habitat assessment for Florida panther population expansion into central Florida","docAbstract":"One of the goals of the Florida panther (Puma concolor coryi) recovery plan is to expand panther range north of the Caloosahatchee River in central Florida. Our objective was to evaluate the potential of that region to support panthers. We used a geographic information system and the Mahalanobis distance statistic to develop a habitat model based on landscape characteristics associated with panther home ranges. We used cross-validation and an independent telemetry data set to test the habitat model. We also conducted a least-cost path analysis to identify potential habitat linkages and to provide a relative measure of connectivity among habitat patches. Variables in our model were paved road density, major highways, human population density, percentage of the area permanently or semipermanently flooded, and percentage of the area in natural land cover. Our model clearly identified habitat typical of that found within panther home ranges based on model testing with recent telemetry data. We identified 4 potential translocation sites that may support a total of approximately 36 panthers. Although we identified potential habitat linkages, our least-cost path analyses highlighted the extreme isolation of panther habitat in portions of the study area. Human intervention will likely be required if the goal is to establish female panthers north of the Caloosahatchee in the near term.
","language":"English","publisher":"American Society of Mammalogists","doi":"10.1644/08-MAMM-A-219.1","issn":"00222372","usgsCitation":"Thatcher, C., Van Manen, F., and Clark, J.D., 2009, A habitat assessment for Florida panther population expansion into central Florida: Journal of Mammalogy, v. 90, no. 4, p. 918-925, https://doi.org/10.1644/08-MAMM-A-219.1.","startPage":"918","endPage":"925","numberOfPages":"8","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[],"links":[{"id":476325,"rank":10000,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1644/08-mamm-a-219.1","text":"Publisher Index Page"},{"id":242904,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":215126,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1644/08-MAMM-A-219.1"}],"country":"United States","state":"Florida","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -82.803955078125,\n 29.152161283318915\n ],\n [\n -82.584228515625,\n 29.1233732108192\n ],\n [\n -82.298583984375,\n 29.104176683949984\n ],\n [\n -82.001953125,\n 29.075375179558346\n ],\n [\n -81.8701171875,\n 29.152161283318915\n ],\n [\n -81.7822265625,\n 29.305561325527698\n ],\n [\n -81.62841796875,\n 29.401319510041485\n ],\n [\n -81.45263671875,\n 29.46829664171322\n ],\n [\n -81.18896484375,\n 29.477861195816843\n ],\n [\n -80.980224609375,\n 29.334298230315675\n ],\n [\n -80.67260742187499,\n 28.738763971370293\n ],\n [\n -80.48583984375,\n 28.497660832963472\n ],\n [\n -80.5078125,\n 28.17855984939698\n ],\n [\n -80.2001953125,\n 27.42053815128712\n ],\n [\n -79.98046875,\n 27.039556602163195\n ],\n [\n -79.95849609375,\n 26.401710528707707\n ],\n [\n -80.04638671875,\n 25.750424835909385\n ],\n [\n -80.244140625,\n 25.512700007620513\n ],\n [\n -80.39794921875,\n 25.21488107113259\n ],\n [\n -80.68359375,\n 25.11544539706194\n ],\n [\n -80.9912109375,\n 25.055745117015316\n ],\n [\n -81.221923828125,\n 25.11544539706194\n ],\n [\n -81.221923828125,\n 25.37380917154398\n ],\n [\n -81.34277343749999,\n 25.572175556682115\n ],\n [\n -81.441650390625,\n 25.770213848960275\n ],\n [\n -81.771240234375,\n 25.78999956287362\n ],\n [\n -81.903076171875,\n 26.125850185680356\n ],\n [\n -82.012939453125,\n 26.362342068998764\n ],\n [\n -82.298583984375,\n 26.441065564038418\n ],\n [\n -82.33154296875,\n 26.755420897359123\n ],\n [\n -82.628173828125,\n 27.196014383173306\n ],\n [\n -82.7490234375,\n 27.527758206861886\n ],\n [\n -82.90283203125,\n 27.732160709580906\n ],\n [\n -82.94677734375,\n 27.98470011861268\n ],\n [\n -82.85888671875,\n 28.246327971048842\n ],\n [\n -82.79296874999999,\n 28.44937385955666\n ],\n [\n -82.7490234375,\n 28.632746799225856\n ],\n [\n -82.77099609375,\n 28.767659105691255\n ],\n [\n -82.8369140625,\n 28.93124697186731\n ],\n [\n -82.869873046875,\n 29.05616970274342\n ],\n [\n -82.803955078125,\n 29.152161283318915\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"90","issue":"4","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5059e416e4b0c8380cd463d8","contributors":{"authors":[{"text":"Thatcher, C.A. 0000-0003-0331-071X","orcid":"https://orcid.org/0000-0003-0331-071X","contributorId":13425,"corporation":false,"usgs":true,"family":"Thatcher","given":"C.A.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":false,"id":450056,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Van Manen, F.T.","contributorId":45241,"corporation":false,"usgs":true,"family":"Van Manen","given":"F.T.","email":"","affiliations":[],"preferred":false,"id":450057,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Clark, J. D.","contributorId":85911,"corporation":false,"usgs":true,"family":"Clark","given":"J.","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":450058,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70035292,"text":"70035292 - 2009 - A prototype feature system for feature retrieval using relationships","interactions":[],"lastModifiedDate":"2012-03-12T17:21:55","indexId":"70035292","displayToPublicDate":"2009-01-01T00:00:00","publicationYear":"2009","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1191,"text":"Cartography and Geographic Information Science","active":true,"publicationSubtype":{"id":10}},"title":"A prototype feature system for feature retrieval using relationships","docAbstract":"Using a feature data model, geographic phenomena can be represented effectively by integrating space, theme, and time. This paper extends and implements a feature data model that supports query and visualization of geographic features using their non-spatial and temporal relationships. A prototype feature-oriented geographic information system (FOGIS) is then developed and storage of features named Feature Database is designed. Buildings from the U.S. Marine Corps Base, Camp Lejeune, North Carolina and subways in Chicago, Illinois are used to test the developed system. The results of the applications show the strength of the feature data model and the developed system 'FOGIS' when they utilize non-spatial and temporal relationships in order to retrieve and visualize individual features.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Cartography and Geographic Information Science","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1559/152304009789786353","issn":"15230406","usgsCitation":"Choi, J., and Usery, E., 2009, A prototype feature system for feature retrieval using relationships: Cartography and Geographic Information Science, v. 36, no. 4, p. 331-345, https://doi.org/10.1559/152304009789786353.","startPage":"331","endPage":"345","numberOfPages":"15","costCenters":[],"links":[{"id":242872,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":215098,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1559/152304009789786353"}],"volume":"36","issue":"4","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5059e520e4b0c8380cd46b37","contributors":{"authors":[{"text":"Choi, J.","contributorId":42741,"corporation":false,"usgs":true,"family":"Choi","given":"J.","email":"","affiliations":[],"preferred":false,"id":450046,"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":450047,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70033841,"text":"70033841 - 2009 - Providing public standardized data access function: Lessons learned from accessing USGS Landsat archive","interactions":[],"lastModifiedDate":"2012-03-12T17:21:30","indexId":"70033841","displayToPublicDate":"2009-01-01T00:00:00","publicationYear":"2009","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Providing public standardized data access function: Lessons learned from accessing USGS Landsat archive","docAbstract":"The geospatial community is experiencing a shift from having data locally to sharing them over the Web. However, not all the data accessing systems are built in compliance with open geospatial standards and thus are weak in terms of interoperability. The USGS Landsat data are now available through free electronic access though not yet through standard Web service interfaces. This paper intends to discuss the experience and lessons learned from integrating a public data access function to the USGS Landsat data archive into a geospatial workflow environment. Currently available systems and their problems, proposed solutions and application scenarios are discussed.","largerWorkTitle":"2009 17th International Conference on Geoinformatics, Geoinformatics 2009","conferenceTitle":"2009 17th International Conference on Geoinformatics, Geoinformatics 2009","conferenceDate":"12 August 2009 through 14 August 2009","conferenceLocation":"Fairfax, VA","language":"English","doi":"10.1109/GEOINFORMATICS.2009.5293043","isbn":"9781424445639","usgsCitation":"Cheng, X., Bai, Y., Di, L., and Nebert, D., 2009, Providing public standardized data access function: Lessons learned from accessing USGS Landsat archive, in 2009 17th International Conference on Geoinformatics, Geoinformatics 2009, Fairfax, VA, 12 August 2009 through 14 August 2009, https://doi.org/10.1109/GEOINFORMATICS.2009.5293043.","costCenters":[],"links":[{"id":214443,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1109/GEOINFORMATICS.2009.5293043"},{"id":242171,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a8faae4b0c8380cd7f8bb","contributors":{"authors":[{"text":"Cheng, X.","contributorId":23027,"corporation":false,"usgs":true,"family":"Cheng","given":"X.","email":"","affiliations":[],"preferred":false,"id":442792,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bai, Y.","contributorId":42784,"corporation":false,"usgs":true,"family":"Bai","given":"Y.","email":"","affiliations":[],"preferred":false,"id":442793,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Di, L.","contributorId":64524,"corporation":false,"usgs":true,"family":"Di","given":"L.","email":"","affiliations":[],"preferred":false,"id":442794,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Nebert, D.","contributorId":93783,"corporation":false,"usgs":true,"family":"Nebert","given":"D.","email":"","affiliations":[],"preferred":false,"id":442795,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70036653,"text":"70036653 - 2009 - The morphology and distribution of submerged reefs in the Maui-Nui Complex, Hawaii: New insights into their evolution since the Early Pleistocene","interactions":[],"lastModifiedDate":"2019-04-11T11:55:35","indexId":"70036653","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":"The morphology and distribution of submerged reefs in the Maui-Nui Complex, Hawaii: New insights into their evolution since the Early Pleistocene","docAbstract":"Reef drowning and backstepping have long been recognised as reef responses to sea-level rise on subsiding margins. During the Late Pleistocene (~500–14 ka) Hawaiian reefs grew in response to rapid subsidence and 120 m 100 kyr sea-level cycles, with recent work on the submerged drowned reefs around the big island of Hawaii, and in other locations from the last deglacial, providing insight into reef development under these conditions. In contrast, reefs of the Early Pleistocene (~1.8–0.8 Ma) remain largely unexplored despite developing in response to significantly different 60–70 m 41 kyr sea-level cycles. The Maui-Nui Complex (MNC — forming the islands of Maui, Molokai, Lanai and Kahoolawe), provides a natural laboratory to study reef evolution throughout this time period as recent data indicate the reefs grew from 1.1 to 0.5 Ma. We use new high resolution bathymetric and backscatter data as well as sub-bottom profiling seismic data and field observations from ROV and submersible dives to make a detailed analysis of reef morphology and structure around the MNC. We focus specifically on the south-central region of the complex that provides the best reef exposure and find that the morphology of the reefs varies both regionally and temporally within this region. Barrier and pinnacle features dominate the steeper margins in the north of the study area whilst broad backstepping of the reefs is observed in the south. Within the Au'au channel in the central region between the islands, closely spaced reef and karst morphology indicates repeated subaerial exposure. We propose that this variation in the morphology and structure of the reefs within the MNC has been controlled by three main factors; the subsidence rate of the complex, the amplitude and period of eustatic sea-level cycles, and the slope and continuity of the basement substrate. We provide a model of reef development within the MNC over the last 1.2 Ma highlighting the effect that the interaction of these factors had on reef morphology.
\n\n
The classification and distribution mapping of the vegetation of Mesa Verde National Park (MEVE) and surrounding environment was achieved through a multi-agency effort between 2004 and 2007. The National Park Service’s Southern Colorado Plateau Network facilitated the team that conducted the work, which comprised the U.S. Geological Survey’s Southwest Biological Science Center, Fort Collins Research Center, and Rocky Mountain Geographic Science Center; Northern Arizona University; Prescott College; and NatureServe.
The project team described 47 plant communities for MEVE, 34 of which were described from quantitative classification based on f eld-relevé data collected in 1993 and 2004. The team derived 13 additional plant communities from field observations during the photointerpretation phase of the project. The National Vegetation Classification Standard served as a framework for classifying these plant communities to the alliance and association level. Eleven of the 47 plant communities were classified as “park specials;” that is, plant communities with insufficient data to describe them as new alliances or associations.
The project team also developed a spatial vegetation map database representing MEVE, with three different map-class schemas: base, group, and management map classes. The base map classes represent the fi nest level of spatial detail. Initial polygons were developed using Definiens Professional (at the time of our use, this software was called eCognition), assisted by interpretation of 1:12,000 true-color digital orthophoto quarter quadrangles (DOQQs). These polygons (base map classes) were labeled using manual photo interpretation of the DOQQs and 1:12,000 true-color aerial photography. Field visits verified interpretation concepts.
The vegetation map database includes 46 base map classes, which consist of associations, alliances, and park specials classified with quantitative analysis, additional associations and park specials noted during photointerpretation, and non-vegetated land cover, such as infrastructure, land use, and geological land cover. The base map classes consist of 5,007 polygons in the project area. A field-based accuracy assessment of the base map classes showed overall accuracy to be 43.5%. Seven map classes comprise 89.1% of the park vegetated land cover.
The group map classes represent aggregations of the base map classes, approximating the group level of the National Vegetation Classification Standard, version 2 (Federal Geographic Data Committee 2007), and reflecting physiognomy and floristics. Terrestrial ecological systems, as described by NatureServe (Comer et al. 2003), were used as the fi rst approximation of the group level. The project team identified 14 group map classes for this project. The overall accuracy of the group map classes was determined using the same accuracy assessment data as for the base map classes. The overall accuracy of the group representation of vegetation was 80.3%.
In consultation with park staff , the team developed management map classes, consisting of park-defined groupings of base map classes intended to represent a balance between maintaining required accuracy and providing a focus on vegetation of particular interest or import to park managers. The 23 management map classes had an overall accuracy of 73.3%.
While the main products of this project are the vegetation classification and the vegetation map database, a number of ancillary digital geographic information system and database products were also produced that can be used independently or to augment the main products. These products include shapefiles of the locations of field-collected data and relational databases of field-collected data.
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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??km2 and 2410??km2 and volumes between 0.002??km3 and 179??km3. 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??km3 may indicate that landslides preferentially mobilize a moderate amount of material (on the order of 1??km3), 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":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 (n = 244 lakes), Grand Teton National Park (n = 106 lakes), Great Sand Dunes National Park and Preserve (n = 11 lakes), Rocky Mountain National Park (n = 114 lakes), and Yellowstone National Park (n = 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. 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