The federally threatened northern spotted owl (Strix occidentalis caurina) is the focus of intensive conservation efforts that have led to much forested land being reserved as habitat for the owl and associated wildlife species throughout the Pacific Northwest of the United States. Recently, however, a relatively new threat to spotted owls has emerged in the form of an invasive competitor: the congeneric barred owl (S. varia). As barred owls have rapidly expanded their populations into the entire range of the northern spotted owl, mounting evidence indicates that they are displacing, hybridizing with, and even killing spotted owls. The range expansion by barred owls into western North America has made an already complex conservation issue even more contentious, and a lack of information on the ecological relationships between the 2 species has hampered recovery efforts for northern spotted owls. We investigated spatial relationships, habitat use, diets, survival, and reproduction of sympatric spotted owls and barred owls in western Oregon, USA, during 2007–2009. Our overall objective was to determine the potential for and possible consequences of competition for space, habitat, and food between these previously allopatric owl species. Our study included 29 spotted owls and 28 barred owls that were radio-marked in 36 neighboring territories and monitored over a 24-month period. Based on repeated surveys of both species, the number of territories occupied by pairs of barred owls in the 745-km2 study area (82) greatly outnumbered those occupied by pairs of spotted owls (15). Estimates of mean size of home ranges and core-use areas of spotted owls (1,843 ha and 305 ha, respectively) were 2–4 times larger than those of barred owls (581 ha and 188 ha, respectively). Individual spotted and barred owls in adjacent territories often had overlapping home ranges, but interspecific space sharing was largely restricted to broader foraging areas in the home range with minimal spatial overlap among core-use areas. We used an information-theoretic approach to rank discrete-choice models representing alternative hypotheses about the influence of forest conditions, topography, and interspecific interactions on species-specific patterns of nighttime resource selection. Spotted owls spent a disproportionate amount of time foraging on steep slopes in ravines dominated by old (>120 yr) conifer trees. Barred owls used available forest types more evenly than spotted owls, and were most strongly associated with patches of large hardwood and conifer trees that occupied relatively flat areas along streams. Spotted and barred owls differed in the relative use of old conifer forest (greater for spotted owls) and slope conditions (steeper slopes for spotted owls), but we found no evidence that the 2 species differed in their use of young, mature, and riparian-hardwood forest types. Mean overlap in proportional use of different forest types between individual spotted owls and barred owls in adjacent territories was 81% (range = 30–99%). The best model of habitat use for spotted owls indicated that the relative probability of a location being used was substantially reduced if the location was within or in close proximity to a core-use area of a barred owl. We used pellet analysis and measures of food-niche overlap to determine the potential for dietary competition between spatially associated pairs of spotted owls and barred owls. We identified 1,223 prey items from 15 territories occupied by spotted owls and 4,299 prey items from 24 territories occupied by barred owls. Diets of both species were dominated by nocturnal mammals, but diets of barred owls included many terrestrial, aquatic, and diurnal prey species that were rare or absent in diets of spotted owls. Northern flying squirrels (Glaucomys sabrinus), woodrats (Neotoma fuscipes, N. cinerea), and lagomorphs (Lepus americanus, Sylvilagus bachmani) were primary prey for both owl species, accounting for 81% and 49% of total dietary biomass for spotted owls and barred owls, respectively. Mean dietary overlap between pairs of spotted and barred owls in adjacent territories was moderate (42%; range = 28–70%). Barred owls displayed demographic superiority over spotted owls; annual survival probability of spotted owls from known-fate analyses (0.81, SE = 0.05) was lower than that of barred owls (0.92, SE = 0.04), and pairs of barred owls produced an average of 4.4 times more young than pairs of spotted owls over a 3-year period. We found a strong, positive relationship between seasonal (6-month) survival probabilities of both species and the proportion of old (>120 yr) conifer forest within individual home ranges, which suggested that availability of old forest was a potential limiting factor in the competitive relationship between these 2 species. The annual number of young produced by spotted owls increased linearly with increasing distance from a territory center of a pair of barred owls, and all spotted owls that attempted to nest within 1.5 km of a nest used by barred owls failed to successfully produce young. We identified strong associations between the presence of barred owls and the behavior and fitness potential of spotted owls, as shown by changes in movements, habitat use, and reproductive output of spotted owls exposed to different levels of spatial overlap with territorial barred owls. When viewed collectively, our results support the hypothesis that interference competition with barred owls for territorial space can constrain the availability of critical resources required for successful recruitment and reproduction of spotted owls. Availability of old forests and associated prey species appeared to be the most strongly limiting factors in the competitive relationship between these species, indicating that further loss of these conditions can lead to increases in competitive pressure. Our findings have broad implications for the conservation of spotted owls, as they suggest that spatial heterogeneity in vital rates may not arise solely because of differences among territories in the quality or abundance of forest habitat, but also because of the spatial distribution of a newly established competitor. Experimental removal of barred owls could be used to test this hypothesis and determine whether localized control of barred owl numbers is an ecologically practical and socio-politically acceptable management tool to consider in conservation strategies for spotted owls.
Uncertainty about the effects of land use and climate on water movement in the unsaturated zone and on groundwater recharge rates can lead to uncertainty in water budgets used for groundwater-flow models. To better understand these effects, a cooperative study between the U.S. Geological Survey and the Central Platte Natural Resources District was initiated in 2007 to determine field-based estimates of recharge rates in selected land-use areas of the Central Platte Natural Resources District in Nebraska. Measured total water potential and unsaturated-zone profiles of tritium, chloride, nitrate as nitrogen, and bromide, along with groundwater-age dates, were used to evaluate water movement in the unsaturated zone and groundwater recharge rates in the central Platte River study area. Eight study sites represented an east-west precipitation contrast across the study area—four beneath groundwater-irrigated cropland (sites 2, 5, and 6 were irrigated corn and site 7 was irrigated alfalfa/corn rotation), three beneath rangeland (sites 1, 4, and 8), and one beneath nonirrigated cropland, or dryland (site 3).
\nMeasurements of transient vertical gradients in total water potential indicated that periodic wetting fronts reached greater mean maximum depths beneath the irrigated sites than beneath the rangeland sites, in part, because of the presence of greater and constant antecedent moisture. Beneath the rangeland sites, greater temporal variation in antecedent moisture and total water potential existed and was, in part, likely a result of local precipitation and evapotranspiration. Moreover, greater variability was noticed in the total water potential profiles beneath the western sites than the corresponding eastern sites, which was attributed to less mean annual precipitation in the west.
\nThe depth of the peak post-bomb tritium concentration or the interface between the pre-bomb/post-bomb tritium, along with a tritium mass balance, within sampled soil profiles were used to estimate water fluxes in the unsaturated zone at three of the eight study sites: site 2 (irrigated), site 3 (dryland), and site 8 (rangeland). Estimates for recharge were about 68 millimeters per year [(mm/yr), post-bomb peak], 133 to 159 mm/yr (tritium interface), and 137 mm/yr (mass balance) at site 2 (irrigated); about 63 mm/yr (tritium interface) and 12 mm/yr (mass balance) at site 3 (dryland); and about 53 mm/yr (tritium interface) and 10 mm/yr (mass balance) at site 8 (rangeland). Recharge values from the mass balance at site 2 were more than an order of magnitude greater than recharge values at site 3, suggesting irrigation is an important control on water movement through the unsaturated zone. For the remaining five sites, the post-bomb tritium had flushed through the system and recharge was considered modern (within 10 years of sampling).
\nThe chloride mass-balance method was used to determine water fluxes below the root zone (less than 2 meters below land surface) at the rangeland sites: sites 1, 4, and 8. At these rangeland sites, water fluxes ranged from 1.8 to 96 mm/yr at site 1, 1.1 to 9.6 mm/yr at site 4, and 1.1 to 68 mm/yr at site 8, with mean rates of 21, 4.3, and 13 mm/yr, respectively. Site 1 had a greater mean water flux, which was consistent with the greater precipitation in the east than at site 8 in the west. Chloride mass balance was not calculated at the irrigated and dryland sites because of uncertainty about additional sources of chloride.
\nConcentrations of nitrate as nitrogen in pore water in the unsaturated zone were larger beneath the irrigated and dryland (agricultural) sites compared with the rangeland sites. The larger concentrations at the agricultural sites are consistent with the application of nitrogen fertilizer at the agricultural sites and no substantial accumulation at the rangeland sites.\nThe shape of the nitrate as nitrogen and chloride concentration\nprofiles at site 1 (rangeland) indicate a reasonably larger and\nmore consistent water flux in the UZ than beneath the other\ntwo rangeland sites (sites 4 or 8). Excluding site 7, the general\nshape of the nitrate as nitrogen profiles was similar beneath\nthe agricultural sites and supports the estimates of water\nmovement and recharge rates determined from the tritium and\nchloride methods.
\nMovement of bromide through the unsaturated zone\nindicated greater water fluxes are found beneath irrigated lands\nthan beneath rangeland. Bromide profiles in the unsaturated\nzone, determined from center of mass and peak displacement\nmethods, document water fluxes ranged from 58\nto 394\nmm/yr beneath irrigated sites and 9 to 201 mm/yr beneath rangeland\nsites. Water-flux estimates from the potassium bromide tests at\nmost sites did not represent overall recharge rates because the\nbromide remained primarily in the root zone.
\nApparent groundwater age was used to determine the\ngroundwater residence time at the eight sites and to estimate recharge rates. Groundwater ages in the study area\nranged from old water (defined here as groundwater that was\nrecharged more than 50 years ago) to modern (defined here\nas groundwater that has recharged within the past 10 years).\nGroundwater ages indicated that the shallow monitoring wells\ngenerally had younger residence times, whereas the deeper\nmonitoring wells generally had the older residence times.\nGroundwater dates from the shallowest monitoring wells were\nused to determine recharge rates at the water table. These\nrates generally were similar to recharge rates determined from\ntritium and chloride mass-balance methods. Groundwater\nrecharge rates generally increased with well depth, and the\ndeeper monitoring wells likely do not represent local recharge\nconditions but recharge from a regional flow system that\nreceives recharge from distant sources.
\nOverall, these data generally indicate that water movement within the unsaturated zone primarily is affected by spatial contrasts in mean annual precipitation and by the land use\nor land cover. The eight unsaturated-zone sites each generated\nunique, valuable datasets that likely will improve the understanding of water movement and recharge rates in the central\nPlatte River valley.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20145008","collaboration":"Prepared in cooperation with the Central Platte Natural Resources District","usgsCitation":"Steele, G.V., Gurdak, J., and Hobza, C.M., 2014, Water movement through the unsaturated zone of the High Plains Aquifer in the Central Platte Natural Resources District, Nebraska, 2008-12: U.S. Geological Survey Scientific Investigations Report 2014-5008, Report: x, 54 p., https://doi.org/10.3133/sir20145008.","productDescription":"Report: x, 54 p.","onlineOnly":"Y","ipdsId":"IP-045594","costCenters":[{"id":464,"text":"Nebraska Water Science Center","active":true,"usgs":true}],"links":[{"id":282796,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2014/5008/pdf/sir2014-5008.pdf"},{"id":282797,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/sir/2014/5008/downloads/Tables.xlsx"},{"id":282798,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20145008.jpg"},{"id":282791,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2014/5008/"}],"scale":"1000000","projection":"Universal Transverse Mercator","datum":"NAD 83","country":"United States","state":"Nebraska","otherGeospatial":"Central Platte Natural Resources District","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -100.0,40.5 ], [ -100.0,41.0 ], [ -98.5,41.0 ], [ -98.5,40.5 ], [ -100.0,40.5 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53cd7c15e4b0b2908510e880","contributors":{"authors":[{"text":"Steele, Gregory V. gvsteele@usgs.gov","contributorId":783,"corporation":false,"usgs":true,"family":"Steele","given":"Gregory","email":"gvsteele@usgs.gov","middleInitial":"V.","affiliations":[{"id":464,"text":"Nebraska Water Science Center","active":true,"usgs":true}],"preferred":true,"id":489561,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gurdak, Jason J.","contributorId":65125,"corporation":false,"usgs":true,"family":"Gurdak","given":"Jason J.","affiliations":[],"preferred":false,"id":489563,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hobza, Christopher M. 0000-0002-6239-934X cmhobza@usgs.gov","orcid":"https://orcid.org/0000-0002-6239-934X","contributorId":2393,"corporation":false,"usgs":true,"family":"Hobza","given":"Christopher","email":"cmhobza@usgs.gov","middleInitial":"M.","affiliations":[{"id":464,"text":"Nebraska Water Science Center","active":true,"usgs":true}],"preferred":true,"id":489562,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70073492,"text":"ofr20141007 - 2014 - Capacitively coupled and direct-current resistivity surveys of selected reaches of Cozad, Thirty-Mile, Orchard-Alfalfa, Kearney, and Outlet Canals in Nebraska, 2012-13","interactions":[],"lastModifiedDate":"2014-02-26T09:11:38","indexId":"ofr20141007","displayToPublicDate":"2014-02-26T07:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2014-1007","title":"Capacitively coupled and direct-current resistivity surveys of selected reaches of Cozad, Thirty-Mile, Orchard-Alfalfa, Kearney, and Outlet Canals in Nebraska, 2012-13","docAbstract":"Understanding the spatial characteristics of leakage from canals is critical to effectively managing and utilizing water resources for irrigation and hydroelectric purposes. Canal leakage in some parts of Nebraska is the primary source of water for groundwater recharge and helps maintain the base flow of streams. Because surface-water supplies depend on the streamflow of the Platte River and the available water stored in upstream reservoirs, water managers seek to minimize conveyance losses, which can include canal leakage. The U.S. Geological Survey, in cooperation with the Central Platte Natural Resources District and Nebraska Public Power District, used capacitively coupled (CC) and direct-current (DC) resistivity techniques for continuous resistivity profiling to map near-surface lithologies near and underlying the Cozad, Thirty-Mile, Orchard-Alfalfa, Kearney, and Outlet Canals. Approximately 84 kilometers (km) of CC-resistivity data were collected along the five canals.
\nThe CC-resistivity data were compared with results from continuous sediment cores and electrical conductivity logs. Generally, the highest resistivities were recorded at the upstream reaches of the Cozad, Thirty-Mile, and Orchard-Alfalfa canals where flood-plain deposits of silt and clay mantle coarser channel deposits of sand and gravel. The finer grained deposits gradually thicken with increasing distance away from the Platte River. Consequently, for many surveyed reaches the thickness of fine-grained deposits exceeded the 8-meter depth of investigation.
\nA detailed geophysical investigation along a 5-km reach of the Outlet Canal southwest of North Platte, Nebraska, used CC and DC resistivity to examine the condition of a compacted-core bank structure and characterized other potential controls on areas of focused seepage. CC-resistivity data, collected along the 5-km study reach, were compared with continuous sediment cores and DC-resistivity data collected near a selected seep near Outlet Canal mile post 15.55 along 5 separate profiles. DC-resistivity results were compared to a schematic cross section of the Outlet Canal north embankment that include the original surfaces and modifications to the compacted-core bank structure.
\nAlong the canal road south line, there is a transition from high resistivity at land surface to much lower resistivity near the estimated depth of the northern slope of the original compacted-core bank; however, the surveyed elevation of the water surface in the canal also is at this elevation. Along the canal road north line, there is a transition from high resistivity near land surface to lower resistivity at depth. Although the transition is rapid near the estimated depth of the first-modified bank slope, it also is coincident with the groundwater level measured in piezometer PZ-4. Currently (2013), it is unknown if the indicated changes in resistivity at these elevations was the effect of saturation of the underlying sediments or caused by the compacted-core bank.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20141007","collaboration":"Prepared in cooperation with the Central Platte Natural Resources District and Nebraska Public Power District","usgsCitation":"Hobza, C.M., Burton, B., Lucius, J.E., and Tompkins, R.E., 2014, Capacitively coupled and direct-current resistivity surveys of selected reaches of Cozad, Thirty-Mile, Orchard-Alfalfa, Kearney, and Outlet Canals in Nebraska, 2012-13: U.S. Geological Survey Open-File Report 2014-1007, Report: vi, 48 p., https://doi.org/10.3133/ofr20141007.","productDescription":"Report: vi, 48 p.","onlineOnly":"Y","ipdsId":"IP-045699","costCenters":[{"id":464,"text":"Nebraska Water Science Center","active":true,"usgs":true}],"links":[{"id":282795,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20141007.jpg"},{"id":282794,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/of/2014/1007/downloads/"},{"id":282790,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2014/1007/"},{"id":282793,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2014/1007/pdf/of2014-1007.pdf"}],"projection":"Lambert Conformal Conic","datum":"NAD 83","country":"United States","state":"Nebraska","city":"Cozad;Kearney","otherGeospatial":"Orchard Alfalfa Canal;Thirty Mile Canal","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -101.0,40.5 ], [ -101.0,41.3 ], [ -99.0,41.3 ], [ -99.0,40.5 ], [ -101.0,40.5 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53cd5023e4b0b290850f3273","contributors":{"authors":[{"text":"Hobza, Christopher M. 0000-0002-6239-934X cmhobza@usgs.gov","orcid":"https://orcid.org/0000-0002-6239-934X","contributorId":2393,"corporation":false,"usgs":true,"family":"Hobza","given":"Christopher","email":"cmhobza@usgs.gov","middleInitial":"M.","affiliations":[{"id":464,"text":"Nebraska Water Science Center","active":true,"usgs":true}],"preferred":true,"id":488804,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Burton, Bethany L. 0000-0001-5011-7862 blburton@usgs.gov","orcid":"https://orcid.org/0000-0001-5011-7862","contributorId":1341,"corporation":false,"usgs":true,"family":"Burton","given":"Bethany L.","email":"blburton@usgs.gov","affiliations":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"preferred":false,"id":488803,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lucius, Jeffrey E. lucius@usgs.gov","contributorId":817,"corporation":false,"usgs":true,"family":"Lucius","given":"Jeffrey","email":"lucius@usgs.gov","middleInitial":"E.","affiliations":[],"preferred":true,"id":488802,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Tompkins, Ryan E.","contributorId":20851,"corporation":false,"usgs":true,"family":"Tompkins","given":"Ryan","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":488805,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70074472,"text":"sim3287 - 2014 - Geologic and geophysical maps of the eastern three-fourths of the Cambria 30' x 60' quadrangle, central California Coast Ranges","interactions":[],"lastModifiedDate":"2023-05-26T13:44:29.25989","indexId":"sim3287","displayToPublicDate":"2014-02-25T12:49:00","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":333,"text":"Scientific Investigations Map","code":"SIM","onlineIssn":"2329-132X","printIssn":"2329-1311","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"3287","title":"Geologic and geophysical maps of the eastern three-fourths of the Cambria 30' x 60' quadrangle, central California Coast Ranges","docAbstract":"The Cambria 30´ x 60´ quadrangle comprises southwestern Monterey County and northwestern San Luis Obispo County. The land area includes rugged mountains of the Santa Lucia Range extending from the northwest to the southeast part of the map; the southern part of the Big Sur coast in the northwest; broad marine terraces along the southwest coast; and broadvalleys, rolling hills, and modest mountains in the northeast.
\nThis report contains geologic, gravity anomaly, and aeromagnetic anomaly maps of the eastern three-fourths of the 1:100,000-scale Cambria quadrangle and the associated geologic and geophysical databases (ArcMap databases), as well as complete descriptions of the geologic map units and the structural relations in the mapped area. A cross section is based on both the geologic map and potential-field geophysical data.
\nThe maps are presented as an interactive, multilayer PDF, rather than more traditional pre-formatted map-sheet PDFs. Various geologic, geophysical, paleontological, and base map elements are placed on separate layers, which allows the user to combine elements interactively to create map views beyond the traditional map sheets. Four traditional map sheets (geologic map, gravity map, aeromagnetic map, paleontological locality map) are easily compiled by choosing the associated data layers or by choosing the desired map under Bookmarks.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sim3287","usgsCitation":"Graymer, R., Langenheim, V., Roberts, M.A., and McDougall, K., 2014, Geologic and geophysical maps of the eastern three-fourths of the Cambria 30' x 60' quadrangle, central California Coast Ranges: U.S. Geological Survey Scientific Investigations Map 3287, Pamphlet: iii, 47 p.; 1 Plate: 44.0 x 32.0 inches; Readme; Metadata; Database, https://doi.org/10.3133/sim3287.","productDescription":"Pamphlet: iii, 47 p.; 1 Plate: 44.0 x 32.0 inches; Readme; Metadata; Database","numberOfPages":"51","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-040960","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":282774,"rank":7,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":398951,"rank":8,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_99614.htm"},{"id":282768,"rank":3,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sim/3287/"},{"id":282769,"rank":5,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sim/3287/pdf/SIM3287_map.pdf"},{"id":282771,"rank":6,"type":{"id":20,"text":"Read Me"},"url":"https://pubs.usgs.gov/sim/3287/pdf/SIM3287_readme.pdf"},{"id":282770,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sim/3287/pdf/SIM3287_pamphlet.pdf"},{"id":282772,"rank":4,"type":{"id":16,"text":"Metadata"},"url":"https://pubs.usgs.gov/sim/3287/downloads/SIM3287_metadata.txt"},{"id":282773,"rank":1,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/sim/3287/downloads/SIM3287_database.zip"}],"scale":"100000","projection":"Universal Transverse Mercator projection","datum":"North American Datum 1983","country":"United States","state":"California","county":"Monterey County, San Luis Obispo County","otherGeospatial":"Big Sur, California Coast Ranges","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -121.625,35.5 ], [ -121.625,36.0 ], [ -121.0,36.0 ], [ -121.0,35.5 ], [ -121.625,35.5 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53cd5b98e4b0b290850fa008","contributors":{"authors":[{"text":"Graymer, R. W.","contributorId":21174,"corporation":false,"usgs":true,"family":"Graymer","given":"R. W.","affiliations":[],"preferred":false,"id":489593,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Langenheim, V.E. 0000-0003-2170-5213","orcid":"https://orcid.org/0000-0003-2170-5213","contributorId":54956,"corporation":false,"usgs":true,"family":"Langenheim","given":"V.E.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":false,"id":489594,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Roberts, M. A.","contributorId":63720,"corporation":false,"usgs":true,"family":"Roberts","given":"M.","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":489595,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"McDougall, Kristin 0000-0002-8788-3664","orcid":"https://orcid.org/0000-0002-8788-3664","contributorId":85610,"corporation":false,"usgs":true,"family":"McDougall","given":"Kristin","affiliations":[],"preferred":false,"id":489596,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70095190,"text":"70095190 - 2014 - Variability in seroprevalence of rabies virus neutralizing antibodies and associated factors in a Colorado population of big brown bats (Eptesicus fuscus)","interactions":[],"lastModifiedDate":"2018-10-20T12:37:27","indexId":"70095190","displayToPublicDate":"2014-02-24T08:08:43","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2980,"text":"PLoS ONE","active":true,"publicationSubtype":{"id":10}},"title":"Variability in seroprevalence of rabies virus neutralizing antibodies and associated factors in a Colorado population of big brown bats (Eptesicus fuscus)","docAbstract":"In 2001–2005 we sampled permanently marked big brown bats (Eptesicus fuscus) at summer roosts in buildings at Fort Collins, Colorado, for rabies virus neutralizing antibodies (RVNA). Seroprevalence was higher in adult females (17.9%, n = 2,332) than males (9.4%, n = 128; P = 0.007) or volant juveniles (10.2%, n = 738; P<0.0001). Seroprevalence was lowest in a drought year with local insecticide use and highest in the year with normal conditions, suggesting that environmental stress may suppress RVNA production in big brown bats. Seroprevalence also increased with age of bat, and varied from 6.2 to 26.7% among adult females at five roosts sampled each year for five years. Seroprevalence of adult females at 17 other roosts sampled for 1 to 4 years ranged from 0.0 to 47.1%. Using logistic regression, the only ranking model in our candidate set of explanatory variables for serological status at first sampling included year, day of season, and a year by day of season interaction that varied with relative drought conditions. The presence or absence of antibodies in individual bats showed temporal variability. Year alone provided the best model to explain the likelihood of adult female bats showing a transition to seronegative from a previously seropositive state. Day of the season was the only competitive model to explain the likelihood of a transition from seronegative to seropositive, which increased as the season progressed. We found no rabies viral RNA in oropharyngeal secretions of 261 seropositive bats or in organs of 13 euthanized seropositive bats. Survival of seropositive and seronegative bats did not differ. The presence of RVNA in serum of bats should not be interpreted as evidence for ongoing rabies infection.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"PLoS ONE","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"PLoS One","doi":"10.1371/journal.pone.0086261","usgsCitation":"O’Shea, T., Bowen, R.A., Stanley, T.R., Shankar, V., and Rupprecht, C.E., 2014, Variability in seroprevalence of rabies virus neutralizing antibodies and associated factors in a Colorado population of big brown bats (Eptesicus fuscus): PLoS ONE, v. 9, no. 1, e86261, 13 p., https://doi.org/10.1371/journal.pone.0086261.","productDescription":"e86261, 13 p.","ipdsId":"IP-052494","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":473168,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0086261","text":"Publisher Index Page"},{"id":282923,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1371/journal.pone.0086261"},{"id":282924,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Colorado","city":"Fort Collins","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -105.153,40.474 ], [ -105.153,40.639 ], [ -104.892,40.639 ], [ -104.892,40.474 ], [ -105.153,40.474 ] ] ] } } ] }","volume":"9","issue":"1","noUsgsAuthors":false,"publicationDate":"2014-01-22","publicationStatus":"PW","scienceBaseUri":"5351706ce4b05569d805a435","contributors":{"authors":[{"text":"O’Shea, Thomas J.","contributorId":89442,"corporation":false,"usgs":true,"family":"O’Shea","given":"Thomas J.","affiliations":[],"preferred":false,"id":491094,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bowen, Richard A.","contributorId":64145,"corporation":false,"usgs":true,"family":"Bowen","given":"Richard","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":491093,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Stanley, Thomas R. 0000-0002-8393-0005 stanleyt@usgs.gov","orcid":"https://orcid.org/0000-0002-8393-0005","contributorId":209928,"corporation":false,"usgs":true,"family":"Stanley","given":"Thomas","email":"stanleyt@usgs.gov","middleInitial":"R.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":491091,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Shankar, Vidya","contributorId":8754,"corporation":false,"usgs":true,"family":"Shankar","given":"Vidya","email":"","affiliations":[],"preferred":false,"id":491092,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Rupprecht, Charles E.","contributorId":95774,"corporation":false,"usgs":true,"family":"Rupprecht","given":"Charles","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":491095,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70175910,"text":"70175910 - 2014 - Quantitative study of tectonic geomorphology along Haiyuan fault based on airborne LiDAR","interactions":[],"lastModifiedDate":"2016-08-20T16:14:44","indexId":"70175910","displayToPublicDate":"2014-02-22T06:30:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1235,"text":"Chinese Science Bulletin","active":true,"publicationSubtype":{"id":10}},"title":"Quantitative study of tectonic geomorphology along Haiyuan fault based on airborne LiDAR","docAbstract":"High-precision and high-resolution topography are the fundamental data for active fault research. Light detection and ranging (LiDAR) presents a new approach to build detailed digital elevation models effectively. We take the Haiyuan fault in Gansu Province as an example of how LiDAR data may be used to improve the study of active faults and the risk assessment of related hazards. In the eastern segment of the Haiyuan fault, the Shaomayin site has been comprehensively investigated in previous research because of its exemplary tectonic topographic features. Based on unprecedented LiDAR data, the horizontal and vertical coseismic offsets at the Shaomayin site are described. The measured horizontal value is about 8.6 m, and the vertical value is about 0.8 m. Using prior dating ages sampled from the same location, we estimate the horizontal slip rate as 4.0 ± 1.0 mm/a with high confidence and define that the lower bound of the vertical slip rate is 0.4 ± 0.1 mm/a since the Holocene. LiDAR data can repeat the measurements of field work on quantifying offsets of tectonic landform features quite well. The offset landforms are visualized on an office computer workstation easily, and specialized software may be used to obtain displacement quantitatively. By combining precious chronological results, the fundamental link between fault activity and large earthquakes is better recognized, as well as the potential risk for future earthquake hazards.
","language":"English","publisher":"Springer-Verlag","doi":"10.1007/s11434-014-0199-4","usgsCitation":"Chen, T., Zhang, P., Liu, J., Li, C.Y., Ren, Z.K., and Hudnut, K.W., 2014, Quantitative study of tectonic geomorphology along Haiyuan fault based on airborne LiDAR: Chinese Science Bulletin, v. 59, no. 20, p. 2396-2409, https://doi.org/10.1007/s11434-014-0199-4.","productDescription":"14 p.","startPage":"2396","endPage":"2409","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-064507","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":327124,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"China","state":"Gansu","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n 91.845703125,\n 30.56226095049944\n ],\n [\n 91.845703125,\n 42.908160071960566\n ],\n [\n 108.369140625,\n 42.908160071960566\n ],\n [\n 108.369140625,\n 30.56226095049944\n ],\n [\n 91.845703125,\n 30.56226095049944\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"59","issue":"20","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2014-02-22","publicationStatus":"PW","scienceBaseUri":"57b97f28e4b03fd6b7db87d7","contributors":{"authors":[{"text":"Chen, Tao","contributorId":173898,"corporation":false,"usgs":false,"family":"Chen","given":"Tao","email":"","affiliations":[{"id":27316,"text":"China Earthquake Administration (CEA)","active":true,"usgs":false}],"preferred":false,"id":646537,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Zhang, Pei Zhen","contributorId":173899,"corporation":false,"usgs":false,"family":"Zhang","given":"Pei Zhen","affiliations":[{"id":27316,"text":"China Earthquake Administration (CEA)","active":true,"usgs":false}],"preferred":false,"id":646538,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Liu, Jing","contributorId":173900,"corporation":false,"usgs":false,"family":"Liu","given":"Jing","email":"","affiliations":[{"id":27316,"text":"China Earthquake Administration (CEA)","active":true,"usgs":false}],"preferred":false,"id":646539,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Li, Chuan You","contributorId":173901,"corporation":false,"usgs":false,"family":"Li","given":"Chuan","email":"","middleInitial":"You","affiliations":[{"id":27316,"text":"China Earthquake Administration (CEA)","active":true,"usgs":false}],"preferred":false,"id":646540,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Ren, Zhi Kun","contributorId":173902,"corporation":false,"usgs":false,"family":"Ren","given":"Zhi","email":"","middleInitial":"Kun","affiliations":[{"id":27316,"text":"China Earthquake Administration (CEA)","active":true,"usgs":false}],"preferred":false,"id":646541,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hudnut, Kenneth W. 0000-0002-3168-4797 hudnut@usgs.gov","orcid":"https://orcid.org/0000-0002-3168-4797","contributorId":2550,"corporation":false,"usgs":true,"family":"Hudnut","given":"Kenneth","email":"hudnut@usgs.gov","middleInitial":"W.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true},{"id":508,"text":"Office of the AD Hazards","active":true,"usgs":true}],"preferred":true,"id":646536,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70094493,"text":"70094493 - 2014 - Ecological site-based assessments of wind and water erosion: informing accelerated soil erosion management in rangelands","interactions":[],"lastModifiedDate":"2014-09-05T08:21:58","indexId":"70094493","displayToPublicDate":"2014-02-20T16:26:00","publicationYear":"2014","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":"Ecological site-based assessments of wind and water erosion: informing accelerated soil erosion management in rangelands","docAbstract":"Accelerated soil erosion occurs when anthropogenic processes modify soil, vegetation or climatic conditions causing erosion rates at a location to exceed their natural variability. Identifying where and when accelerated erosion occurs is a critical first step toward its effective management. Here we explore how erosion assessments structured in the context of ecological sites (a land classification based on soils, landscape setting and ecological potential) and their vegetation states (plant assemblages that may change due to management) can inform systems for reducing accelerated soil erosion in rangelands. We evaluated aeolian horizontal sediment flux and fluvial sediment erosion rates for five ecological sites in southern New Mexico, USA, using monitoring data and rangeland-specific wind and water erosion models. Across the ecological sites, plots in shrub-encroached and shrub-dominated vegetation states were consistently susceptible to aeolian sediment flux and fluvial sediment erosion. Both processes were found to be highly variable for grassland and grass-succulent states across the ecological sites at the plot scale (0.25 Ha). We identify vegetation thresholds that define cover levels below which rapid (exponential) increases in aeolian sediment flux and fluvial sediment erosion occur across the ecological sites and vegetation states. Aeolian sediment flux and fluvial erosion in the study area can be effectively controlled when bare ground cover is <20% of a site or the cover of canopy interspaces >100 cm in length is less than ~35%. Land use and management activities that alter cover levels such that they cross thresholds, and/or drive vegetation state changes, may increase the susceptibility of areas to erosion. Land use impacts that are constrained within the range of natural variability should not result in accelerated soil erosion. Evaluating land condition against the erosion thresholds identified here will enable identification of areas susceptible to accelerated soil erosion and the development of practical management solutions.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Ecological Applications","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Ecological Society of America","doi":"10.1890/13-1175.1","usgsCitation":"Webb, N., Herrick, J.E., and Duniway, M.C., 2014, Ecological site-based assessments of wind and water erosion: informing accelerated soil erosion management in rangelands: Ecological Applications, v. 24, no. 6, p. 1405-1420, https://doi.org/10.1890/13-1175.1.","productDescription":"16 p.","startPage":"1405","endPage":"1420","numberOfPages":"16","ipdsId":"IP-050767","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":282605,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":282604,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1890/13-1175.1"}],"country":"United States","state":"New Mexico","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -106.2048,32.1 ], [ -106.2048,32.7018 ], [ -105.4578,32.7018 ], [ -105.4578,32.1 ], [ -106.2048,32.1 ] ] ] } } ] }","volume":"24","issue":"6","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53cd564de4b0b290850f6d50","contributors":{"authors":[{"text":"Webb, Nicholas P.","contributorId":81409,"corporation":false,"usgs":true,"family":"Webb","given":"Nicholas P.","affiliations":[],"preferred":false,"id":490651,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Herrick, Jeffrey E.","contributorId":26054,"corporation":false,"usgs":false,"family":"Herrick","given":"Jeffrey","email":"","middleInitial":"E.","affiliations":[{"id":12627,"text":"USDA-ARS Jornada Experimental Range, New Mexico State University, Las Cruces, NM 88003-8003, USA","active":true,"usgs":false}],"preferred":false,"id":490650,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Duniway, Michael C. 0000-0002-9643-2785 mduniway@usgs.gov","orcid":"https://orcid.org/0000-0002-9643-2785","contributorId":4212,"corporation":false,"usgs":true,"family":"Duniway","given":"Michael","email":"mduniway@usgs.gov","middleInitial":"C.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":490649,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70099271,"text":"70099271 - 2014 - Application of threshold concepts to ecological management problems: Occupancy of Golden Eagles in Denali National Park, Alaska","interactions":[],"lastModifiedDate":"2021-11-26T14:18:25.471365","indexId":"70099271","displayToPublicDate":"2014-02-20T15:19:04","publicationYear":"2014","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"chapter":"5","title":"Application of threshold concepts to ecological management problems: Occupancy of Golden Eagles in Denali National Park, Alaska","docAbstract":"In this chapter, we demonstrate the application of the various classes of thresholds, detailed in earlier chapters and elsewhere, via an actual but simplified natural resource management case study. We intend our example to provide the reader with the ability to recognize and apply the theoretical concepts of utility, ecological and decision thresholds to management problems through a formalized decision-analytic process. Our case study concerns the management of human recreational activities in Alaska’s Denali National Park, USA, and the possible impacts of such activities on nesting Golden Eagles, Aquila chrysaetos. Managers desire to allow visitors the greatest amount of access to park lands, provided that eagle nesting-site occupancy is maintained at a level determined to be acceptable by the managers themselves. As these two management objectives are potentially at odds, we treat minimum desired occupancy level as a utility threshold which, then, serves to guide the selection of annual management alternatives in the decision process. As human disturbance is not the only factor influencing eagle occupancy, we model nesting-site dynamics as a function of both disturbance and prey availability. We incorporate uncertainty in these dynamics by considering several hypotheses, including a hypothesis that site occupancy is affected only at a threshold level of prey abundance (i.e., an ecological threshold effect). By considering competing management objectives and accounting for two forms of thresholds in the decision process, we are able to determine the optimal number of annual nesting-site restrictions that will produce the greatest long-term benefits for both eagles and humans. Setting a utility threshold of 75 occupied sites, out of a total of 90 potential nesting sites, the optimization specified a decision threshold at approximately 80 occupied sites. At the point that current occupancy falls below 80 sites, the recommended decision is to begin restricting access to humans; above this level, it is recommended that all eagle territories be opened to human recreation. We evaluated the sensitivity of the decision threshold to uncertainty in system dynamics and to management objectives (i.e., to the utility threshold).","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Application of threshold concepts in natural resource decision making","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Springer","doi":"10.1007/978-1-4899-8041-0_5","usgsCitation":"Eaton, M., Martin, J., Nichols, J., McIntyre, C., McCluskie, M.C., Schmutz, J.A., Lubow, B.L., and Runge, M.C., 2014, Application of threshold concepts to ecological management problems: Occupancy of Golden Eagles in Denali National Park, Alaska, chap. 5 of Application of threshold concepts in natural resource decision making, p. 67-86, https://doi.org/10.1007/978-1-4899-8041-0_5.","productDescription":"20 p.","startPage":"67","endPage":"86","ipdsId":"IP-035575","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":284416,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Denali National Park","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -151.01,63.17 ], [ -151.01,63.49 ], [ -149.99,63.49 ], [ -149.99,63.17 ], [ -151.01,63.17 ] ] ] } } ] }","noUsgsAuthors":false,"publicationDate":"2014-02-08","publicationStatus":"PW","scienceBaseUri":"5351701ee4b05569d805a154","contributors":{"editors":[{"text":"Guntenspergen, Glenn R.","contributorId":113070,"corporation":false,"usgs":false,"family":"Guntenspergen","given":"Glenn R.","affiliations":[],"preferred":false,"id":509828,"contributorType":{"id":2,"text":"Editors"},"rank":1}],"authors":[{"text":"Eaton, Mitchell J.","contributorId":71308,"corporation":false,"usgs":true,"family":"Eaton","given":"Mitchell J.","affiliations":[],"preferred":false,"id":491925,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Martin, Julien 0000-0002-7375-129X julienmartin@usgs.gov","orcid":"https://orcid.org/0000-0002-7375-129X","contributorId":5785,"corporation":false,"usgs":true,"family":"Martin","given":"Julien","email":"julienmartin@usgs.gov","affiliations":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":491921,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Nichols, James D. 0000-0002-7631-2890 jnichols@usgs.gov","orcid":"https://orcid.org/0000-0002-7631-2890","contributorId":405,"corporation":false,"usgs":true,"family":"Nichols","given":"James D.","email":"jnichols@usgs.gov","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":false,"id":491918,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"McIntyre, Carol","contributorId":12363,"corporation":false,"usgs":true,"family":"McIntyre","given":"Carol","affiliations":[],"preferred":false,"id":491922,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"McCluskie, Maggie C.","contributorId":57730,"corporation":false,"usgs":true,"family":"McCluskie","given":"Maggie","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":491924,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Schmutz, Joel A. 0000-0002-6516-0836 jschmutz@usgs.gov","orcid":"https://orcid.org/0000-0002-6516-0836","contributorId":1805,"corporation":false,"usgs":true,"family":"Schmutz","given":"Joel","email":"jschmutz@usgs.gov","middleInitial":"A.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":491919,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Lubow, Bruce L.","contributorId":54474,"corporation":false,"usgs":true,"family":"Lubow","given":"Bruce","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":491923,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Runge, Michael C. 0000-0002-8081-536X mrunge@usgs.gov","orcid":"https://orcid.org/0000-0002-8081-536X","contributorId":3358,"corporation":false,"usgs":true,"family":"Runge","given":"Michael","email":"mrunge@usgs.gov","middleInitial":"C.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":491920,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70074399,"text":"ofr20141015 - 2014 - Regression models for estimating salinity and selenium concentrations at selected sites in the Upper Colorado River Basin, Colorado, 2009-2012","interactions":[],"lastModifiedDate":"2016-04-12T16:23:04","indexId":"ofr20141015","displayToPublicDate":"2014-02-20T14:01:00","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2014-1015","title":"Regression models for estimating salinity and selenium concentrations at selected sites in the Upper Colorado River Basin, Colorado, 2009-2012","docAbstract":"Elevated concentrations of salinity and selenium in the tributaries and main-stem reaches of the Colorado River are a water-quality concern and have been the focus of remediation efforts for many years. Land-management practices with the objective of limiting the amount of salt and selenium that reaches the stream have focused on improving the methods by which irrigation water is conveyed and distributed. Federal land managers implement improvements in accordance with the Colorado River Basin Salinity Control Act of 1974, which directs Federal land managers to enhance and protect the quality of water available in the Colorado River. In an effort to assist in evaluating and mitigating the detrimental effects of salinity and selenium, the U.S. Geological Survey, in cooperation with the Bureau of Reclamation, the Colorado River Water Resources District, and the Bureau of Land Management, analyzed salinity and selenium data collected at sites to develop regression models. The study area and sites are on the Colorado River or in one of three small basins in Western Colorado: the White River Basin, the Lower Gunnison River Basin, and the Dolores River Basin. By using data collected from water years 2009 through 2011, regression models able to estimate concentrations were developed for salinity at six sites and selenium at six sites. At a minimum, data from discrete measurement of salinity or selenium concentration, streamflow, and specific conductance at each of the sites were needed for model development. Comparison of the Adjusted R2 and standard error statistics of the two salinity models developed at each site indicated the models using specific conductance as the explanatory variable performed better than those using streamflow. The addition of multiple explanatory variables improved the ability to estimate selenium concentration at several sites compared with use of solely streamflow or specific conductance. The error associated with the log-transformed salinity and selenium estimates is consistent in log space; however, when the estimates are transformed into non-log values, the error increases as the estimates decrease. Continuous streamflow and specific conductance data collected at study sites provide the means to examine temporal variability in constituent concentration and load. The regression models can estimate continuous concentrations or loads on the basis of continuous specific conductance or streamflow data. Similar estimates are available for other sites at the USGS National Real-Time Water Quality Web page (http://nrtwq.usgs.gov) and provide water-resource managers with a means of improving their general understanding of how constituent concentration or load can change annually, seasonally, or in real time.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20141015","collaboration":"Prepared in cooperation with the Bureau of Reclamation, the Colorado River Water Resources District, and the Bureau of Land Management","usgsCitation":"Linard, J.I., and Schaffrath, K.R., 2014, Regression models for estimating salinity and selenium concentrations at selected sites in the Upper Colorado River Basin, Colorado, 2009-2012: U.S. Geological Survey Open-File Report 2014-1015, v, 28 p., https://doi.org/10.3133/ofr20141015.","productDescription":"v, 28 p.","numberOfPages":"34","onlineOnly":"Y","additionalOnlineFiles":"N","temporalStart":"2008-10-01","temporalEnd":"2011-09-30","ipdsId":"IP-051865","costCenters":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"links":[{"id":282585,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20141015.jpg"},{"id":282578,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2014/1015/"},{"id":282584,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2014/1015/pdf/of2014-1015.pdf"}],"datum":"North American Datum 1983","country":"United States","state":"Colorado","otherGeospatial":"Colorado River, Dolores River Basin, Lower Gunnison River Basin, Upper Colorado River Basin, White River Basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -109.05,\n 38\n ],\n [\n -109.05,\n 40.5\n ],\n [\n -107.1,\n 40.5\n ],\n [\n -107.1,\n 38\n ],\n [\n -109.05,\n 38\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53cd700de4b0b29085106cd2","contributors":{"authors":[{"text":"Linard, Joshua I. jilinard@usgs.gov","contributorId":1465,"corporation":false,"usgs":true,"family":"Linard","given":"Joshua","email":"jilinard@usgs.gov","middleInitial":"I.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":489564,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Schaffrath, Keelin R.","contributorId":7552,"corporation":false,"usgs":true,"family":"Schaffrath","given":"Keelin","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":489565,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70094482,"text":"70094482 - 2014 - Cenozoic planktonic marine diatom diversity and correlation to climate change","interactions":[],"lastModifiedDate":"2014-02-20T09:25:19","indexId":"70094482","displayToPublicDate":"2014-02-20T09:14:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2980,"text":"PLoS ONE","active":true,"publicationSubtype":{"id":10}},"title":"Cenozoic planktonic marine diatom diversity and correlation to climate change","docAbstract":"Marine planktonic diatoms export carbon to the deep ocean, playing a key role in the global carbon cycle. Although commonly thought to have diversified over the Cenozoic as global oceans cooled, only two conflicting quantitative reconstructions exist, both from the Neptune deep-sea microfossil occurrences database. Total diversity shows Cenozoic increase but is sample size biased; conventional subsampling shows little net change. We calculate diversity from a separately compiled new diatom species range catalog, and recalculate Neptune subsampled-in-bin diversity using new methods to correct for increasing Cenozoic geographic endemism and decreasing Cenozoic evenness. We find coherent, substantial Cenozoic diversification in both datasets. Many living cold water species, including species important for export productivity, originate only in the latest Miocene or younger. We make a first quantitative comparison of diatom diversity to the global Cenozoic benthic ∂18O (climate) and carbon cycle records (∂13C, and 20-0 Ma pCO2). Warmer climates are strongly correlated with lower diatom diversity (raw: rho = .92, p<.001; detrended, r = .6, p = .01). Diatoms were 20% less diverse in the early late Miocene, when temperatures and pCO2 were only moderately higher than today. Diversity is strongly correlated to both ∂13C and pCO2 over the last 15 my (for both: r>.9, detrended r>.6, all p<.001), but only weakly over the earlier Cenozoic, suggesting increasingly strong linkage of diatom and climate evolution in the Neogene. Our results suggest that many living marine planktonic diatom species may be at risk of extinction in future warm oceans, with an unknown but potentially substantial negative impact on the ocean biologic pump and oceanic carbon sequestration. We cannot however extrapolate our my-scale correlations with generic climate proxies to anthropogenic time-scales of warming without additional species-specific information on proximate ecologic controls.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"PLoS ONE","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Public Library of Science","publisherLocation":"San Francisco, CA","doi":"10.1371/journal.pone.0084857","usgsCitation":"Lazarus, D., Barron, J., Renaudie, J., Diver, P., and Turke, A., 2014, Cenozoic planktonic marine diatom diversity and correlation to climate change: PLoS ONE, v. 9, no. 1, 8 p., https://doi.org/10.1371/journal.pone.0084857.","productDescription":"8 p.","numberOfPages":"8","onlineOnly":"Y","costCenters":[],"links":[{"id":473169,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0084857","text":"Publisher Index Page"},{"id":282560,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":282559,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1371/journal.pone.0084857"}],"volume":"9","issue":"1","noUsgsAuthors":false,"publicationDate":"2014-01-22","publicationStatus":"PW","scienceBaseUri":"5351702be4b05569d805a18a","contributors":{"authors":[{"text":"Lazarus, David","contributorId":71877,"corporation":false,"usgs":true,"family":"Lazarus","given":"David","email":"","affiliations":[],"preferred":false,"id":490609,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Barron, John","contributorId":87059,"corporation":false,"usgs":true,"family":"Barron","given":"John","affiliations":[],"preferred":false,"id":490610,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Renaudie, Johan","contributorId":17908,"corporation":false,"usgs":true,"family":"Renaudie","given":"Johan","email":"","affiliations":[],"preferred":false,"id":490607,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Diver, Patrick","contributorId":41329,"corporation":false,"usgs":true,"family":"Diver","given":"Patrick","email":"","affiliations":[],"preferred":false,"id":490608,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Turke, Andreas","contributorId":97419,"corporation":false,"usgs":true,"family":"Turke","given":"Andreas","email":"","affiliations":[],"preferred":false,"id":490611,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70048995,"text":"ds804 - 2014 - Magnetic susceptibility data for some exposed bedrock in the western conterminous United States","interactions":[],"lastModifiedDate":"2023-05-26T15:33:36.390647","indexId":"ds804","displayToPublicDate":"2014-02-20T08:19:00","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":310,"text":"Data Series","code":"DS","onlineIssn":"2327-638X","printIssn":"2327-0271","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"804","title":"Magnetic susceptibility data for some exposed bedrock in the western conterminous United States","docAbstract":"In-place rock magnetic susceptibility measurements for 746 sites in the western conterminous United States are reported in a database. Of these 746 sites, 408 sites are in the Silverton Caldera area of the San Juan Mountains of southwestern Colorado. Of the 408 sites in the Silverton Caldera area, 106 sites are underground. The remaining 338 sites outside the Silverton Caldera area were on outcropping rock, are distributed from southern Arizona to northwestern Wyoming, and include data from California, Nevada, Utah, Colorado, and New Mexico. Rock-density measurements are included for some sites. These data have been collected by various U.S. Geological Survey studies from 1991 through 2012 and are intended to help improve geophysical modeling of the Earth’s crust in the Western United States. 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\"}}]}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53cd654be4b0b290850ffff9","contributors":{"authors":[{"text":"Gettings, Mark E. 0000-0002-2910-2321 mgetting@usgs.gov","orcid":"https://orcid.org/0000-0002-2910-2321","contributorId":602,"corporation":false,"usgs":true,"family":"Gettings","given":"Mark","email":"mgetting@usgs.gov","middleInitial":"E.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":485961,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bultman, Mark W. 0000-0001-8352-101X mbultman@usgs.gov","orcid":"https://orcid.org/0000-0001-8352-101X","contributorId":3348,"corporation":false,"usgs":true,"family":"Bultman","given":"Mark","email":"mbultman@usgs.gov","middleInitial":"W.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":false,"id":485962,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70094206,"text":"70094206 - 2014 - Influence of stocking, site quality, stand age, low-severity canopy disturbance, and forest composition on sub-boreal aspen mixedwood carbon stocks","interactions":[],"lastModifiedDate":"2014-02-18T15:10:47","indexId":"70094206","displayToPublicDate":"2014-02-18T15:02:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1170,"text":"Canadian Journal of Forest Research","active":true,"publicationSubtype":{"id":10}},"title":"Influence of stocking, site quality, stand age, low-severity canopy disturbance, and forest composition on sub-boreal aspen mixedwood carbon stocks","docAbstract":"Low-severity canopy disturbance presumably influences forest carbon dynamics during the course of stand development, yet the topic has received relatively little attention. This is surprising because of the frequent occurrence of such events and the potential for both the severity and frequency of disturbances to increase as a result of climate change. We investigated the impacts of low-severity canopy disturbance and average insect defoliation on forest carbon stocks and rates of carbon sequestration in mature aspen mixedwood forests of varying stand age (ranging from 61 to 85 years), overstory composition, stocking level, and site quality. Stocking level and site quality positively affected the average annual aboveground tree carbon increment (CAAI), while stocking level, site quality, and stand age positively affected tree carbon stocks (CTREE) and total ecosystem carbon stocks (CTOTAL). Cumulative canopy disturbance (DIST) was reconstructed using dendroecological methods over a 29-year period. DIST was negatively and significantly related to soil carbon (CSOIL), and it was negatively, albeit marginally, related to CTOTAL. Minima in the annual aboveground carbon increment of trees (CAI) occurred at sites during defoliation of aspen (Populus tremuloides Michx.) by forest tent caterpillar (Malacosoma disstria Hubner), and minima were more extreme at sites dominated by trembling aspen than sites mixed with conifers. At sites defoliated by forest tent caterpillar in the early 2000s, increased sequestration by the softwood component (Abies balsamea (L.) Mill. and Picea glauca (Moench) Voss) compensated for overall decreases in CAI by 17% on average. These results underscore the importance of accounting for low-severity canopy disturbance events when developing regional forest carbon models and argue for the restoration and maintenance of historically important conifer species within aspen mixedwoods to enhance stand-level resilience to disturbance agents and maintain site-level carbon stocks.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Canadian Journal of Forest Research","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"NRC Research Press, National Research Council Canada","publisherLocation":"Ottawa, Canada","doi":"10.1139/cjfr-2013-0165","usgsCitation":"Reinikainen, M., D’Amato, A.W., Bradford, J.B., and Fraver, S., 2014, Influence of stocking, site quality, stand age, low-severity canopy disturbance, and forest composition on sub-boreal aspen mixedwood carbon stocks: Canadian Journal of Forest Research, v. 44, no. 3, p. 230-242, https://doi.org/10.1139/cjfr-2013-0165.","productDescription":"13 p.","startPage":"230","endPage":"242","numberOfPages":"13","ipdsId":"IP-045433","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":282500,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":282499,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1139/cjfr-2013-0165"}],"country":"United States","state":"Minnesota","otherGeospatial":"Laurentian Mixed Forest Province","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -97.24,43.5 ], [ -97.24,49.38 ], [ -89.48,49.38 ], [ -89.48,43.5 ], [ -97.24,43.5 ] ] ] } } ] }","volume":"44","issue":"3","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53517050e4b05569d805a2ee","contributors":{"authors":[{"text":"Reinikainen, Michael","contributorId":39286,"corporation":false,"usgs":true,"family":"Reinikainen","given":"Michael","email":"","affiliations":[],"preferred":false,"id":490559,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"D’Amato, Anthony W.","contributorId":35632,"corporation":false,"usgs":true,"family":"D’Amato","given":"Anthony","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":490558,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bradford, John B. 0000-0001-9257-6303 jbradford@usgs.gov","orcid":"https://orcid.org/0000-0001-9257-6303","contributorId":611,"corporation":false,"usgs":true,"family":"Bradford","given":"John","email":"jbradford@usgs.gov","middleInitial":"B.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":490557,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Fraver, Shawn","contributorId":91379,"corporation":false,"usgs":false,"family":"Fraver","given":"Shawn","email":"","affiliations":[{"id":7063,"text":"University of Maine","active":true,"usgs":false}],"preferred":false,"id":490560,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70156362,"text":"70156362 - 2014 - A spatial modeling framework to evaluate domestic biofuel-induced potential land use changed and emissions","interactions":[],"lastModifiedDate":"2022-11-09T15:26:54.027335","indexId":"70156362","displayToPublicDate":"2014-02-18T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1565,"text":"Environmental Science & Technology","onlineIssn":"1520-5851","printIssn":"0013-936X","active":true,"publicationSubtype":{"id":10}},"title":"A spatial modeling framework to evaluate domestic biofuel-induced potential land use changed and emissions","docAbstract":"We present a novel bottom-up approach to estimate biofuel-induced land-use change (LUC) and resulting CO2 emissions in the U.S. from 2010 to 2022, based on a consistent methodology across four essential components: land availability, land suitability, LUC decision-making, and induced CO2 emissions. Using high-resolution geospatial data and modeling, we construct probabilistic assessments of county-, state-, and national-level LUC and emissions for macroeconomic scenarios. We use the Cropland Data Layer and the Protected Areas Database to characterize availability of land for biofuel crop cultivation, and the CERES-Maize and BioCro biophysical crop growth models to estimate the suitability (yield potential) of available lands for biofuel crops. For LUC decisionmaking, we use a county-level stochastic partial-equilibrium modeling framework and consider five scenarios involving annual ethanol production scaling to 15, 22, and 29 BG, respectively, in 2022, with corn providing feedstock for the first 15 BG and the remainder coming from one of two dedicated energy crops. Finally, we derive high-resolution above-ground carbon factors from the National Biomass and Carbon Data set to estimate emissions from each LUC pathway. Based on these inputs, we obtain estimates for average total LUC emissions of 6.1, 2.2, 1.0, 2.2, and 2.4 gCO2e/MJ for Corn-15 Billion gallons (BG), Miscanthus × giganteus (MxG)-7 BG, Switchgrass (SG)-7 BG, MxG-14 BG, and SG-14 BG scenarios, respectively.
","language":"English","publisher":"Environmental Science & Technology","doi":"10.1021/es404546r","usgsCitation":"Elliot, J., Sharma, B., Best, N., Glotter, M., Dunn, J.B., Foster, I., Miguez, F., Mueller, S., and Wang, M., 2014, A spatial modeling framework to evaluate domestic biofuel-induced potential land use changed and emissions: Environmental Science & Technology, v. 48, no. 4, p. 2488-2486, https://doi.org/10.1021/es404546r.","productDescription":"7 p.","startPage":"2488","endPage":"2486","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[],"links":[{"id":307002,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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States\"}}]}","volume":"48","issue":"4","noUsgsAuthors":false,"publicationDate":"2014-01-23","publicationStatus":"PW","scienceBaseUri":"55d6fa2ee4b0518e3546bc0c","contributors":{"authors":[{"text":"Elliot, Joshua","contributorId":146737,"corporation":false,"usgs":false,"family":"Elliot","given":"Joshua","email":"","affiliations":[],"preferred":false,"id":568854,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sharma, Bhavna","contributorId":146740,"corporation":false,"usgs":false,"family":"Sharma","given":"Bhavna","email":"","affiliations":[],"preferred":false,"id":568855,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Best, Neil","contributorId":146741,"corporation":false,"usgs":false,"family":"Best","given":"Neil","email":"","affiliations":[],"preferred":false,"id":568856,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Glotter, Michael","contributorId":146742,"corporation":false,"usgs":false,"family":"Glotter","given":"Michael","email":"","affiliations":[],"preferred":false,"id":568857,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Dunn, Jennifer B.","contributorId":146743,"corporation":false,"usgs":false,"family":"Dunn","given":"Jennifer","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":568858,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Foster, Ian","contributorId":146744,"corporation":false,"usgs":false,"family":"Foster","given":"Ian","email":"","affiliations":[],"preferred":false,"id":568859,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Miguez, Fernando","contributorId":146745,"corporation":false,"usgs":false,"family":"Miguez","given":"Fernando","email":"","affiliations":[],"preferred":false,"id":568860,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Mueller, Steffen","contributorId":146746,"corporation":false,"usgs":false,"family":"Mueller","given":"Steffen","email":"","affiliations":[],"preferred":false,"id":568861,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Wang, Michael","contributorId":146747,"corporation":false,"usgs":false,"family":"Wang","given":"Michael","email":"","affiliations":[],"preferred":false,"id":568862,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70074486,"text":"ofr20141010 - 2014 - Gunnison sage-grouse lek site suitability modeling","interactions":[],"lastModifiedDate":"2018-08-10T16:13:06","indexId":"ofr20141010","displayToPublicDate":"2014-02-17T09:22:00","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2014-1010","title":"Gunnison sage-grouse lek site suitability modeling","docAbstract":"In order to better understand and protect species with minimal or decreasing populations, it is imperative to determine their actual existing population size. The focal species for this project is the Gunnison sage-grouse (GUSG), which became a proposed endangered species under the Endangered Species Act, thus confirming the need for better population estimates. Lek site counting during mating season has historically been the primary method for estimating population size since the grouse are very difficult to count at other times of the year. The objective of this project was to use historical data and available technology to identify additional potential lekking sites. This was done by determining areas throughout the study area that have the same landscape characteristics as those where known lekking activities occur. More accurate population counts could be the outcome of locating more lek sites.
\nOne of the remaining seven GUSG populations, the Crawford population (estimated at 128 individuals) exists in an area that includes the Gunnison Gorge National Conservation Area and the northern portion of the Black Canyon of the Gunnison National Park (our study area). While the Crawford population is small, it is still considered a self-sustaining population; the persistence and growth of this population directly contribute to genetic diversity conservation of this declining species. To date, only observational and anecdotal information about the Crawford population’s range, movements, and seasonal habitat use exist.
\nFrom 1978 to the present, GUSG population monitoring has been accomplished through annual lek counts conducted each spring during GUSG mating season. Although this method has provided information on GUSG population trends, it is somewhat limited because counts are based only on known lekking sites and historically minimal efforts have been made to identify additional lek sites. To meet the objective of locating more potential lekking sites, we used a suite of spatial data, geographic information system tools, and maximum entropy species distribution tools. Based on expert knowledge and landscape variables, the modeling process evolved into a hybrid approach for delineating areas that would have a significant probability for supporting GUSG lekking activities. Based on model results, a sampling protocol was developed for model verification. The results of this project provide wildlife managers with a more sophisticated methodology to evaluate GUSG habitat for potential lekking sites.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20141010","issn":"2331–1258","collaboration":"Prepared in cooperation with the National Audubon Society, the Bureau of Land Management, the National Park Service, the U.S. Department of Agriculture Forest Service, Colorado Parks and Wildlife, and the Habitat Partnership Program","usgsCitation":"Ouren, D.S., Ignizio, D., Siders, M., Childers, T., Tucker, K., and Seward, N., 2014, Gunnison sage-grouse lek site suitability modeling: U.S. Geological Survey Open-File Report 2014-1010, iv, 18 p., https://doi.org/10.3133/ofr20141010.","productDescription":"iv, 18 p.","numberOfPages":"25","onlineOnly":"Y","ipdsId":"IP-045621","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true},{"id":37226,"text":"Core Science Analytics, Synthesis, and Libraries","active":true,"usgs":true}],"links":[{"id":282447,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20141010.jpg"},{"id":282443,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2014/1010/"},{"id":282446,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2014/1010/pdf/of2014-1010.pdf"}],"country":"United States","state":"Colorado","county":"Delta County;Gunnison County;Montrose County","otherGeospatial":"Black Canyon Of Gunnison National Park;Gunnison Gorge National Conservation Area","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -108.0,38.25 ], [ -108.0,38.75 ], [ -107.25,38.75 ], [ -107.25,38.25 ], [ -108.0,38.25 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53cd6011e4b0b290850fcb08","contributors":{"authors":[{"text":"Ouren, Douglas S. ourend@usgs.gov","contributorId":1931,"corporation":false,"usgs":true,"family":"Ouren","given":"Douglas","email":"ourend@usgs.gov","middleInitial":"S.","affiliations":[],"preferred":true,"id":489602,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ignizio, Drew A. 0000-0001-8054-5139 dignizio@usgs.gov","orcid":"https://orcid.org/0000-0001-8054-5139","contributorId":4822,"corporation":false,"usgs":true,"family":"Ignizio","given":"Drew A.","email":"dignizio@usgs.gov","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":false,"id":489603,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Siders, Melissa","contributorId":78647,"corporation":false,"usgs":true,"family":"Siders","given":"Melissa","email":"","affiliations":[],"preferred":false,"id":489607,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Childers, Theresa","contributorId":62139,"corporation":false,"usgs":true,"family":"Childers","given":"Theresa","affiliations":[],"preferred":false,"id":489605,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Tucker, Karen","contributorId":50821,"corporation":false,"usgs":true,"family":"Tucker","given":"Karen","affiliations":[],"preferred":false,"id":489604,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Seward, Nathan","contributorId":66599,"corporation":false,"usgs":true,"family":"Seward","given":"Nathan","email":"","affiliations":[],"preferred":false,"id":489606,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70155267,"text":"70155267 - 2014 - Disruptions of El Niño–Southern Oscillation teleconnections by the Madden–Julian Oscillation","interactions":[],"lastModifiedDate":"2017-01-18T11:34:25","indexId":"70155267","displayToPublicDate":"2014-02-16T11:30:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1807,"text":"Geophysical Research Letters","active":true,"publicationSubtype":{"id":10}},"title":"Disruptions of El Niño–Southern Oscillation teleconnections by the Madden–Julian Oscillation","docAbstract":"The El Niño–Southern Oscillation (ENSO) is the leading mode of interannual variability, with global impacts on weather and climate that have seasonal predictability. Research on the link between interannual ENSO variability and the leading mode of intraseasonal variability, the Madden–Julian oscillation (MJO), has focused mainly on the role of MJO initiating or terminating ENSO. We use observational analysis and modeling to show that the MJO has an important simultaneous link to ENSO: strong MJO activity significantly weakens the atmospheric branch of ENSO. For weak MJO conditions relative to strong MJO conditions, the average magnitude of ENSO-associated tropical precipitation anomalies increases by 63%, and the strength of hemispheric teleconnections increases by 58%. Since the MJO has predictability beyond three weeks, the relationships shown here suggest that there may be subseasonal predictability of the ENSO teleconnections to continental circulation and precipitation.
","language":"English","publisher":"American Geophysical Union","publisherLocation":"Washington, D.C.","doi":"10.1002/2013GL058648","usgsCitation":"Hoell, A., Barlow, M., Wheeler, M., and Funk, C.C., 2014, Disruptions of El Niño–Southern Oscillation teleconnections by the Madden–Julian Oscillation: Geophysical Research Letters, v. 41, no. 3, p. 998-1004, https://doi.org/10.1002/2013GL058648.","productDescription":"7 p.","startPage":"998","endPage":"1004","numberOfPages":"7","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-053942","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":306483,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"41","issue":"3","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationDate":"2014-02-07","publicationStatus":"PW","scienceBaseUri":"57f7f153e4b0bc0bec09fcef","contributors":{"authors":[{"text":"Hoell, Andrew","contributorId":145803,"corporation":false,"usgs":false,"family":"Hoell","given":"Andrew","affiliations":[{"id":16236,"text":"UCSB Climate Hazards Group","active":true,"usgs":false}],"preferred":false,"id":565437,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Barlow, Mathew","contributorId":145834,"corporation":false,"usgs":false,"family":"Barlow","given":"Mathew","affiliations":[{"id":16250,"text":"University of Massechusetts, Lowell","active":true,"usgs":false}],"preferred":false,"id":565438,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wheeler, Mathew","contributorId":145839,"corporation":false,"usgs":false,"family":"Wheeler","given":"Mathew","email":"","affiliations":[{"id":16254,"text":"The Center for Australian Weather and Climate, Melbourne, Australia","active":true,"usgs":false}],"preferred":false,"id":565439,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Funk, Christopher C. 0000-0002-9254-6718 cfunk@usgs.gov","orcid":"https://orcid.org/0000-0002-9254-6718","contributorId":721,"corporation":false,"usgs":true,"family":"Funk","given":"Christopher","email":"cfunk@usgs.gov","middleInitial":"C.","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":false,"id":565436,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70074262,"text":"ofr20141011 - 2014 - Survival of bacterial indicators and the functional diversity of native microbial communities in the Floridan aquifer system, south Florida","interactions":[],"lastModifiedDate":"2014-02-10T13:19:16","indexId":"ofr20141011","displayToPublicDate":"2014-02-10T13:13:00","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2014-1011","title":"Survival of bacterial indicators and the functional diversity of native microbial communities in the Floridan aquifer system, south Florida","docAbstract":"The Upper Floridan aquifer in the southern region of Florida is a multi-use, regional scale aquifer that is used as a potable water source and as a repository for passively recharged untreated surface waters, and injected treated surface water and wastewater, industrial wastes, including those which contain greenhouse gases (for example, carbon dioxide). The presence of confined zones within the Floridan aquifer that range in salinity from fresh to brackish allow regulatory agencies to permit the injection of these different types of product waters into specific zones without detrimental effects to humans and terrestrial and aquatic ecosystems. The type of recharge that has received the most regulatory attention in south Florida is aquifer storage and recovery (ASR). The treated water, prior to injection and during recovery, must meet primary and secondary drinking water standards. The primary microbiology drinking water standard is total coliforms, which have been shown to be difficult to inactivate below the regulatory standard during the treatment process at some ASR facilities. The inefficient inactivation of this group of indicator bacteria permits their direct injection into the storage zones of the Floridan aquifer. Prior to this study, the inactivation rates for any member of the total coliform group during exposure to native geochemical conditions in groundwater from any zone of the Floridan aquifer had not been derived.\n\nAboveground flow through mesocosms and diffusion chambers were used to quantify the inactivation rates of two bacterial indicators, Escherichia coli and Pseudomonas aeruginosa, during exposure to groundwater from six wells. These wells collect water from two ASR storage zones: the Upper Floridan aquifer (UFA) and Avon Park Permeable Zone (APPZ). Both bacterial strains followed a biphasic inactivation model. The E. coli populations had slower inactivation rates in the UFA (range: 0.217–0.628 per hour (h-1)) during the first phase of the model than when exposed to groundwater from the APPZ (range: 0.540–0.684 h-1). The inactivation rates for the first phase of the models for P. aeruginosa were not significantly different between the UFA (range: 0.144–0.770 h-1) and APPZ (range: 0.159–0.772 h-1) aquifer zones. The inactivation rates for the second phase of the model for this P. aeruginosa were also similar between UFA (range: 0.003–0.008 h-1) and APPZ (0.004–0.005 h-1) zones, although significantly slower than the model’s first phase rates for this bacterial species.\n\nGeochemical data were used to determine which dissimilatory biogeochemical reactions were most likely to occur under the native conditions in the UFA and APPZ zones using thermodynamics principles to calculate free energy yields and other cell-related energetics data. The biogeochemical processes of acetotrophic and hydrogenotrophic sulfate reduction, methanogenesis and anaerobic oxidation of methane dominated in all six groundwater sites.\n\nA high throughput DNA microarray sequencing technology was used to characterize the diversity in the native aquifer bacterial communities (bacteria and archaea) and assign putative physiological capabilities to the members of those communities. The bacterial communities in both zones of the aquifer were shown to possess the capabilities for primary and secondary fermentation, acetogenesis, methanogenesis, anaerobic methane oxidation, syntrophy with methanogens, ammonification, and sulfate reduction.\n\nThe data from this study provide the first determination of bacterial indicator survival during exposure to native geochemical conditions of the Floridan aquifer in south Florida. Additionally, the energetics and functional bacterial diversity characterizations are the first descriptions of native bacterial communities in this region of the Floridan aquifer and reveal how these communities persist under such extreme conditions. Collectively, these types of data can be used to develop and refine groundwater models.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20141011","issn":"2331-1258","usgsCitation":"Lisle, J.T., 2014, Survival of bacterial indicators and the functional diversity of native microbial communities in the Floridan aquifer system, south Florida: U.S. Geological Survey Open-File Report 2014-1011, vi, 72 p., https://doi.org/10.3133/ofr20141011.","productDescription":"vi, 72 p.","numberOfPages":"78","onlineOnly":"Y","ipdsId":"IP-050699","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":282216,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20141011.jpg"},{"id":282214,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2014/1011/"},{"id":282215,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2014/1011/pdf/of2014-1011.pdf"}],"country":"United States","state":"Florida","otherGeospatial":"Avon Park Permeable Zone;Upper Floridian Aquifer","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -81.5,26.5 ], [ -81.5,27.5 ], [ -80.0,27.5 ], [ -80.0,26.5 ], [ -81.5,26.5 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53cd7612e4b0b2908510aaab","contributors":{"authors":[{"text":"Lisle, John T. 0000-0002-5447-2092 jlisle@usgs.gov","orcid":"https://orcid.org/0000-0002-5447-2092","contributorId":2944,"corporation":false,"usgs":true,"family":"Lisle","given":"John","email":"jlisle@usgs.gov","middleInitial":"T.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":489445,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70135628,"text":"70135628 - 2014 - Structural equation models of VMT growth in US urbanised areas.","interactions":[],"lastModifiedDate":"2015-01-14T11:26:13","indexId":"70135628","displayToPublicDate":"2014-02-10T10:30:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3844,"text":"Urban Studies","active":true,"publicationSubtype":{"id":10}},"title":"Structural equation models of VMT growth in US urbanised areas.","docAbstract":"Vehicle miles travelled (VMT) is a primary performance indicator for land use and transportation, bringing with it both positive and negative externalities. This study updates and refines previous work on VMT in urbanised areas, using recent data, additional metrics and structural equation modelling (SEM). In a cross-sectional model for 2010, population, income and freeway capacity are positively related to VMT, while gasoline prices, development density and transit service levels are negatively related. Findings of the cross-sectional model are generally confirmed in a more tightly controlled longitudinal study of changes in VMT between 2000 and 2010, the first model of its kind. The cross-sectional and longitudinal models together, plus the transportation literature generally, give us a basis for generalising across studies to arrive at elasticity values of VMT with respect to different urban variables.
","language":"English","publisher":"Sage Publications","doi":"10.1177/0042098013516521","usgsCitation":"Ewing, R., Hamidi, S., Gallivan, F., Nelson, A.C., and Grace, J.B., 2014, Structural equation models of VMT growth in US urbanised areas.: Urban Studies, v. 51, no. 14, p. 3079-3096, https://doi.org/10.1177/0042098013516521.","productDescription":"18 p.","startPage":"3079","endPage":"3096","numberOfPages":"18","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-052475","costCenters":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"links":[{"id":297078,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","volume":"51","issue":"14","noUsgsAuthors":false,"publicationDate":"2014-02-10","publicationStatus":"PW","scienceBaseUri":"54dd2c64e4b08de9379b3781","contributors":{"authors":[{"text":"Ewing, Reid","contributorId":106010,"corporation":false,"usgs":true,"family":"Ewing","given":"Reid","affiliations":[],"preferred":false,"id":536675,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hamidi, Shima","contributorId":30909,"corporation":false,"usgs":true,"family":"Hamidi","given":"Shima","affiliations":[],"preferred":false,"id":536676,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gallivan, Frank","contributorId":48097,"corporation":false,"usgs":true,"family":"Gallivan","given":"Frank","email":"","affiliations":[],"preferred":false,"id":536677,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Nelson, Arthur C.","contributorId":75061,"corporation":false,"usgs":true,"family":"Nelson","given":"Arthur","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":536678,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Grace, James B. 0000-0001-6374-4726 gracej@usgs.gov","orcid":"https://orcid.org/0000-0001-6374-4726","contributorId":884,"corporation":false,"usgs":true,"family":"Grace","given":"James","email":"gracej@usgs.gov","middleInitial":"B.","affiliations":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true},{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":536674,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70093599,"text":"70093599 - 2014 - Assessing mobility and redistribution patterns of sand and oil agglomerates in the surf zone","interactions":[],"lastModifiedDate":"2014-03-14T11:24:39","indexId":"70093599","displayToPublicDate":"2014-02-10T10:09:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2676,"text":"Marine Pollution Bulletin","active":true,"publicationSubtype":{"id":10}},"title":"Assessing mobility and redistribution patterns of sand and oil agglomerates in the surf zone","docAbstract":"Heavier-than-water sand and oil agglomerates that formed in the surf zone following the Deepwater Horizon oil spill continued to cause beach re-oiling 3 years after initial stranding. To understand this phenomena and inform operational response now and for future spills, a numerical method to assess the mobility and alongshore movement of these “surface residual balls” (SRBs) was developed and applied to the Alabama and western Florida coasts. Alongshore flow and SRB mobility and potential flux were used to identify likely patterns of transport and deposition. Results indicate that under typical calm conditions, cm-size SRBs are unlikely to move alongshore, whereas mobility and transport is likely during storms. The greater mobility of sand compared to SRBs makes burial and exhumation of SRBs likely, and inlets were identified as probable SRB traps. Analysis of field data supports these model results.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Marine Pollution Bulletin","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","doi":"10.1016/j.marpolbul.2014.01.004","usgsCitation":"Dalyander, P., Long, J.W., Plant, N.G., and Thompson, D.M., 2014, Assessing mobility and redistribution patterns of sand and oil agglomerates in the surf zone: Marine Pollution Bulletin, v. 80, no. 1-2, p. 200-209, https://doi.org/10.1016/j.marpolbul.2014.01.004.","productDescription":"10 p.","startPage":"200","endPage":"209","numberOfPages":"10","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":282208,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":282207,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.marpolbul.2014.01.004"}],"country":"United States","state":"Alabama;Florida","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -98.48,24.61 ], [ -98.48,32.58 ], [ -79.54,32.58 ], [ -79.54,24.61 ], [ -98.48,24.61 ] ] ] } } ] }","volume":"80","issue":"1-2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"52f9f4dfe4b02baefb041999","contributors":{"authors":[{"text":"Dalyander, P. Soupy 0000-0001-9583-0872","orcid":"https://orcid.org/0000-0001-9583-0872","contributorId":65177,"corporation":false,"usgs":true,"family":"Dalyander","given":"P. Soupy","affiliations":[],"preferred":false,"id":490072,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Long, Joesph W.","contributorId":35232,"corporation":false,"usgs":true,"family":"Long","given":"Joesph","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":490071,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Plant, Nathaniel G. 0000-0002-5703-5672 nplant@usgs.gov","orcid":"https://orcid.org/0000-0002-5703-5672","contributorId":3503,"corporation":false,"usgs":true,"family":"Plant","given":"Nathaniel","email":"nplant@usgs.gov","middleInitial":"G.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true},{"id":508,"text":"Office of the AD Hazards","active":true,"usgs":true}],"preferred":true,"id":490070,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Thompson, David M. 0000-0002-7103-5740 dthompson@usgs.gov","orcid":"https://orcid.org/0000-0002-7103-5740","contributorId":3502,"corporation":false,"usgs":true,"family":"Thompson","given":"David","email":"dthompson@usgs.gov","middleInitial":"M.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":490069,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70093572,"text":"70093572 - 2014 - Perception, experience, and indigenous knowledge of climate change and variability: the case of Accra, a sub-Saharan African city","interactions":[],"lastModifiedDate":"2014-02-10T09:40:14","indexId":"70093572","displayToPublicDate":"2014-02-10T09:35:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3242,"text":"Regional Environmental Change","active":true,"publicationSubtype":{"id":10}},"title":"Perception, experience, and indigenous knowledge of climate change and variability: the case of Accra, a sub-Saharan African city","docAbstract":"Several recent international assessments have concluded that climate change has the potential to reverse the modest economic gains achieved in many developing countries over the past decade. The phenomenon of climate change threatens to worsen poverty or burden populations with additional hardships, especially in poor societies with weak infrastructure and economic well-being. The importance of the perceptions, experiences, and knowledge of indigenous peoples has gained prominence in discussions of climate change and adaptation in developing countries and among international development organizations. Efforts to evaluate the role of indigenous knowledge in adaptation planning, however, have largely focused on rural people and their agricultural livelihoods. This paper presents the results of a study that examines perceptions, experiences, and indigenous knowledge relating to climate change and variability in three communities of metropolitan Accra, which is the capital of Ghana. The study design is based on a three-part conceptual framework and interview process involving risk mapping, mental models, and individual stressor cognition. Most of the residents interviewed in the three communities of urban Accra attributed climate change to the combination of deforestation and the burning of firewood and rubbish. None of the residents associated climate change with fossil fuel emissions from developed countries. Numerous potential adaptation strategies were suggested by the residents, many of which have been used effectively during past drought and flood events. Results suggest that ethnic residential clustering as well as strong community bonds in metropolitan Accra have allowed various groups and long-settled communities to engage in the sharing and transmission of knowledge of weather patterns and trends. Understanding and building upon indigenous knowledge may enhance the design, acceptance, and implementation of climate change adaptation strategies in Accra and urban regions of other developing nations.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Regional Environmental Change","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Springer","doi":"10.1007/s10113-013-0500-0","usgsCitation":"Codjoe, S.N., Owusu, G., and Burkett, V., 2014, Perception, experience, and indigenous knowledge of climate change and variability: the case of Accra, a sub-Saharan African city: Regional Environmental Change, v. 14, no. 1, p. 369-383, https://doi.org/10.1007/s10113-013-0500-0.","productDescription":"15 p.","startPage":"369","endPage":"383","numberOfPages":"15","ipdsId":"IP-038428","costCenters":[{"id":505,"text":"Office of the AD Climate and Land-Use Change","active":true,"usgs":true}],"links":[{"id":282206,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":282110,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s10113-013-0500-0"}],"country":"Ghana","city":"Accra","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -0.29912,5.513987 ], [ -0.29912,5.66843 ], [ -0.060339,5.66843 ], [ -0.060339,5.513987 ], [ -0.29912,5.513987 ] ] ] } } ] }","volume":"14","issue":"1","noUsgsAuthors":false,"publicationDate":"2013-07-04","publicationStatus":"PW","scienceBaseUri":"52f9f59ee4b02baefb041a9c","contributors":{"authors":[{"text":"Codjoe, Samuel N.A.","contributorId":22982,"corporation":false,"usgs":true,"family":"Codjoe","given":"Samuel","email":"","middleInitial":"N.A.","affiliations":[],"preferred":false,"id":490045,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Owusu, George","contributorId":95800,"corporation":false,"usgs":true,"family":"Owusu","given":"George","email":"","affiliations":[],"preferred":false,"id":490046,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Burkett, Virginia 0000-0003-4746-2862 virginia_burkett@usgs.gov","orcid":"https://orcid.org/0000-0003-4746-2862","contributorId":2867,"corporation":false,"usgs":true,"family":"Burkett","given":"Virginia","email":"virginia_burkett@usgs.gov","affiliations":[{"id":505,"text":"Office of the AD Climate and Land-Use Change","active":true,"usgs":true}],"preferred":true,"id":490044,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70160691,"text":"70160691 - 2014 - The effect of adjusting model inputs to achieve mass balance on time-dynamic simulations in a food-web model of Lake Huron","interactions":[],"lastModifiedDate":"2015-12-31T12:55:46","indexId":"70160691","displayToPublicDate":"2014-02-10T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1458,"text":"Ecological Modelling","active":true,"publicationSubtype":{"id":10}},"title":"The effect of adjusting model inputs to achieve mass balance on time-dynamic simulations in a food-web model of Lake Huron","docAbstract":"Ecopath with Ecosim (EwE) is a widely used modeling tool in fishery research and management. Ecopath requires a mass-balanced snapshot of a food web at a particular point in time, which Ecosim then uses to simulate changes in biomass over time. Initial inputs to Ecopath, including estimates for biomasses, production to biomass ratios, consumption to biomass ratios, and diets, rarely produce mass balance, and thus ad hoc changes to inputs are required to balance the model. There has been little previous research of whether ad hoc changes to achieve mass balance affect Ecosim simulations. We constructed an EwE model for the offshore community of Lake Huron, and balanced the model using four contrasting but realistic methods. The four balancing methods were based on two contrasting approaches; in the first approach, production of unbalanced groups was increased by increasing either biomass or the production to biomass ratio, while in the second approach, consumption of predators on unbalanced groups was decreased by decreasing either biomass or the consumption to biomass ratio. We compared six simulation scenarios based on three alternative assumptions about the extent to which mortality rates of prey can change in response to changes in predator biomass (i.e., vulnerabilities) under perturbations to either fishing mortality or environmental production. Changes in simulated biomass values over time were used in a principal components analysis to assess the comparative effect of balancing method, vulnerabilities, and perturbation types. Vulnerabilities explained the most variation in biomass, followed by the type of perturbation. Choice of balancing method explained little of the overall variation in biomass. Under scenarios where changes in predator biomass caused large changes in mortality rates of prey (i.e., high vulnerabilities), variation in biomass was greater than when changes in predator biomass caused only small changes in mortality rates of prey (i.e., low vulnerabilities), and was amplified when environmental production was increased. When standardized to mean changes in biomass within each scenario, scenarios when vulnerabilities were low and when fishing mortality was increased explained the most variation in biomass. Our findings suggested that approaches to balancing Ecopath models have relatively little effect on changes in biomass over time, especially when compared to assumptions about how mortality rates of prey change in response to changes in predator biomass. We concluded that when constructing food-web models using EwE, determining the effect of changes in predator biomass on mortality rates of prey should be prioritized over determining the best way to balance the model.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.ecolmodel.2013.10.027","collaboration":"Brian Langseth; Michael Jones","usgsCitation":"Langseth, B.J., Jones, M., and Riley, S.C., 2014, The effect of adjusting model inputs to achieve mass balance on time-dynamic simulations in a food-web model of Lake Huron: Ecological Modelling, v. 273, p. 44-54, https://doi.org/10.1016/j.ecolmodel.2013.10.027.","productDescription":"11 p.","startPage":"44","endPage":"54","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-049726","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":313147,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":312965,"type":{"id":15,"text":"Index Page"},"url":"https://dx.doi.org/10.1016/j.ecolmodel.2013.10.027"}],"country":"United States; Canada","otherGeospatial":"Lake Huron","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -83.75976562499999,\n 46.21785176740299\n ],\n [\n -83.91357421875,\n 46.00459325574482\n ],\n [\n -84.55078125,\n 45.99696161820381\n ],\n [\n -84.715576171875,\n 45.85176048817254\n ],\n [\n -84.649658203125,\n 45.73685954736049\n ],\n [\n -84.287109375,\n 45.65244828675087\n ],\n [\n -84.08935546875,\n 45.521743896993634\n ],\n [\n -83.507080078125,\n 45.35214524585177\n ],\n [\n -83.265380859375,\n 45.034714778688624\n ],\n [\n -83.3642578125,\n 45.058001435398296\n ],\n [\n -83.46313476562499,\n 44.98034238084973\n ],\n [\n -83.397216796875,\n 44.91035917458495\n ],\n [\n -83.33129882812499,\n 44.78573392716592\n ],\n [\n -83.3203125,\n 44.44162421758805\n ],\n [\n -83.49609375,\n 44.2294565683017\n ],\n [\n -83.726806640625,\n 44.01652134387754\n ],\n [\n -83.880615234375,\n 43.96119063892024\n ],\n [\n -83.95751953125,\n 43.77109381775651\n ],\n [\n -83.70483398437499,\n 43.59630591596548\n ],\n [\n -83.4521484375,\n 43.731414013769\n ],\n [\n -83.22143554687499,\n 43.96119063892024\n ],\n [\n -82.94677734375,\n 44.04811573082351\n ],\n [\n -82.694091796875,\n 43.937461690316646\n ],\n [\n -82.4853515625,\n 43.197167282501276\n ],\n [\n -82.41943359375,\n 42.96446257387128\n ],\n [\n -81.968994140625,\n 43.1811470593997\n ],\n [\n -81.705322265625,\n 43.42100882994726\n ],\n [\n -81.749267578125,\n 44.04811573082351\n ],\n [\n -81.595458984375,\n 44.33170718680922\n ],\n [\n -81.287841796875,\n 44.645208223744035\n ],\n [\n -81.67236328125,\n 45.259422036351694\n ],\n [\n -81.4306640625,\n 45.259422036351694\n ],\n [\n -81.298828125,\n 45.26715476332791\n ],\n [\n -81.2548828125,\n 45.0502402697946\n ],\n [\n -81.068115234375,\n 44.89479576469787\n ],\n [\n -80.936279296875,\n 44.77013681219717\n ],\n [\n -80.91430664062499,\n 44.61393394730626\n ],\n [\n -80.66162109375,\n 44.715513732021336\n ],\n [\n -80.17822265625,\n 44.52001001133986\n ],\n [\n -80.013427734375,\n 44.56699093657141\n ],\n [\n -80.123291015625,\n 44.75453548416007\n ],\n [\n -80.057373046875,\n 44.85586880735725\n ],\n [\n -79.82666015625,\n 44.77013681219717\n ],\n [\n -79.73876953125,\n 44.762336674810996\n ],\n [\n -80.079345703125,\n 45.120052841530516\n ],\n [\n -80.74951171875,\n 45.836454050187726\n ],\n [\n -81.375732421875,\n 45.98169518512228\n ],\n [\n -81.903076171875,\n 46.14178273759234\n ],\n [\n -82.85888671875,\n 46.20264638061019\n ],\n [\n -83.7158203125,\n 46.263442671779885\n ],\n [\n -83.75976562499999,\n 46.21785176740299\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"273","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"56865fcae4b0e7594ee74cd7","contributors":{"authors":[{"text":"Langseth, Brian J.","contributorId":60934,"corporation":false,"usgs":true,"family":"Langseth","given":"Brian","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":583571,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jones, Michael L.","contributorId":7219,"corporation":false,"usgs":false,"family":"Jones","given":"Michael L.","affiliations":[{"id":6590,"text":"Department of Fisheries and Wildlife, Michigan State University","active":true,"usgs":false}],"preferred":false,"id":583572,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Riley, Stephen C. 0000-0002-8968-8416 sriley@usgs.gov","orcid":"https://orcid.org/0000-0002-8968-8416","contributorId":2661,"corporation":false,"usgs":true,"family":"Riley","given":"Stephen","email":"sriley@usgs.gov","middleInitial":"C.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":false,"id":583570,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70144434,"text":"70144434 - 2014 - Identifying objectives and alternative actions to frame a decision problem.","interactions":[],"lastModifiedDate":"2015-10-23T15:57:40","indexId":"70144434","displayToPublicDate":"2014-02-08T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Identifying objectives and alternative actions to frame a decision problem.","docAbstract":"In this chapter, we discuss the role of objectives and alternative actions in framing a natural resource management decision problem, with particular attention to thresholds. We outline a number of considerations in developing objectives and measurable attributes, including when utility thresholds may be needed to express the decision-makers’ values.We also discuss the development of a set of alternative actions, and how these might give rise to decision thresholds, particularly when the predictive models contain ecological thresholds. Framing of a decision problem plays a central role in decision analysis because it helps determine the needs for a predictive ecological model, the type of solution method required, and the value and structure of a monitoring system.
","language":"English","publisher":"Springer New York","publisherLocation":"New York City, New York","doi":"10.1007/978-1-4899-8041-0_3","usgsCitation":"Runge, M.C., and Walshe, T., 2014, Identifying objectives and alternative actions to frame a decision problem., p. 29-43, https://doi.org/10.1007/978-1-4899-8041-0_3.","productDescription":"14 p.","startPage":"29","endPage":"43","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-061262","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":310617,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationDate":"2014-02-08","publicationStatus":"PW","scienceBaseUri":"562b5a30e4b00162522207d1","contributors":{"authors":[{"text":"Runge, Michael C. 0000-0002-8081-536X mrunge@usgs.gov","orcid":"https://orcid.org/0000-0002-8081-536X","contributorId":3358,"corporation":false,"usgs":true,"family":"Runge","given":"Michael","email":"mrunge@usgs.gov","middleInitial":"C.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":543591,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Walshe, Terry","contributorId":28151,"corporation":false,"usgs":true,"family":"Walshe","given":"Terry","affiliations":[],"preferred":false,"id":543592,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70049032,"text":"ofr20131228 - 2014 - Active tensor magnetic gradiometer system final report for Project MM–1514","interactions":[],"lastModifiedDate":"2025-05-14T18:52:40.696917","indexId":"ofr20131228","displayToPublicDate":"2014-02-07T17:08:00","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2013-1228","title":"Active tensor magnetic gradiometer system final report for Project MM–1514","docAbstract":"An interactive computer simulation program, based on physical models of system sensors, platform geometry, Earth environment, and spheroidal magnetically-permeable targets, was developed to generate synthetic magnetic field data from a conceptual tensor magnetic gradiometer system equipped with an active primary field generator. The system sensors emulate the prototype tensor magnetic gradiometer system (TMGS) developed under a separate contract for unexploded ordnance (UXO) detection and classification. Time-series data from different simulation scenarios were analyzed to recover physical dimensions of the target source. Helbig-Euler simulations were run with rectangular and rod-like source bodies to determine whether such a system could separate the induced component of the magnetization from the remanent component for each target. This report concludes with an engineering assessment of a practical system design.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20131228","collaboration":"Prepared in cooperation with the U.S. Department of Defense Strategic Environmental R esearch and Development Program","usgsCitation":"Smith, D.V., Phillips, J.D., and Hutton, S.R., 2014, Active tensor magnetic gradiometer system final report for Project MM–1514: U.S. Geological Survey Open-File Report 2013-1228, v, 39 p., https://doi.org/10.3133/ofr20131228.","productDescription":"v, 39 p.","onlineOnly":"Y","ipdsId":"IP-049589","costCenters":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":282131,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20131228.jpg"},{"id":282130,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2013/1228/"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53cd4b17e4b0b290850f0259","contributors":{"authors":[{"text":"Smith, David V. 0000-0003-0426-4401 dvsmith@usgs.gov","orcid":"https://orcid.org/0000-0003-0426-4401","contributorId":1306,"corporation":false,"usgs":true,"family":"Smith","given":"David","email":"dvsmith@usgs.gov","middleInitial":"V.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":486056,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Phillips, Jeffrey D. 0000-0002-6459-2821 jeff@usgs.gov","orcid":"https://orcid.org/0000-0002-6459-2821","contributorId":1572,"corporation":false,"usgs":true,"family":"Phillips","given":"Jeffrey","email":"jeff@usgs.gov","middleInitial":"D.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":false,"id":486057,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hutton, S. Raymond","contributorId":45627,"corporation":false,"usgs":true,"family":"Hutton","given":"S.","email":"","middleInitial":"Raymond","affiliations":[],"preferred":false,"id":486058,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70058455,"text":"sir20135226 - 2014 - Geochemistry of groundwater in the Beaver and Camas Creek drainage basins, eastern Idaho","interactions":[],"lastModifiedDate":"2014-02-07T08:07:04","indexId":"sir20135226","displayToPublicDate":"2014-02-07T07:40:00","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2013-5226","title":"Geochemistry of groundwater in the Beaver and Camas Creek drainage basins, eastern Idaho","docAbstract":"The U.S. Geological Survey (USGS), in cooperation with the U.S. Department of Energy, is studying the fate and transport of waste solutes in the eastern Snake River Plain (ESRP) aquifer at the Idaho National Laboratory (INL) in eastern Idaho. This effort requires an understanding of the natural and anthropogenic geochemistry of groundwater at the INL and of the important physical and chemical processes controlling the geochemistry. In this study, the USGS applied geochemical modeling to investigate the geochemistry of groundwater in the Beaver and Camas Creek drainage basins, which provide groundwater recharge to the ESRP aquifer underlying the northeastern part of the INL.
\nData used in this study include petrology and mineralogy from 2 sediment and 3 rock samples, and water-quality analyses from 4 surface-water and 18 groundwater samples. The mineralogy of the sediment and rock samples was analyzed with X-ray diffraction, and the mineralogy and petrology of the rock samples were examined in thin sections. The water samples were analyzed for field parameters, major ions, silica, nutrients, dissolved organic carbon, trace elements, tritium, and the stable isotope ratios of hydrogen, oxygen, carbon, sulfur, and nitrogen.
\nGroundwater geochemistry was influenced by reactions with rocks of the geologic terranes—carbonate rocks, rhyolite, basalt, evaporite deposits, and sediment comprised of all of these rocks. Agricultural practices near and south of Dubois and application of road anti-icing liquids on U.S. Interstate Highway 15 were likely sources of nitrate, chloride, calcium, and magnesium to groundwater.
\nGroundwater geochemistry was successfully modeled in the alluvial aquifer in Camas Meadows and the ESRP fractured basalt aquifer using the geochemical modeling code PHREEQC. The primary geochemical processes appear to be precipitation or dissolution of calcite and dissolution of silicate minerals. Dissolution of evaporite minerals, associated with Pleistocene Lake Terreton, is an important contributor of solutes in the Mud Lake-Dubois area. Oxidation-reduction reactions are important influences on the chemistry of groundwater at Camas Meadows and the Camas National Wildlife Refuge. In addition, mixing of different groundwaters or surface water with groundwater appears to be an important physical process influencing groundwater geochemistry in much of the study area, and evaporation may be an important physical process influencing the groundwater geochemistry of the Camas National Wildlife Refuge. The mass-balance modeling results from this study provide an explanation of the natural geochemistry of groundwater in the ESRP aquifer northeast of the INL, and thus provide a starting point for evaluating the natural and anthropogenic geochemistry of groundwater at the INL.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20135226","collaboration":"DOE/ID-22227. Prepared in cooperation with the U.S. Department of Energy","usgsCitation":"Rattray, G.W., and Ginsbach, M.L., 2014, Geochemistry of groundwater in the Beaver and Camas Creek drainage basins, eastern Idaho: U.S. Geological Survey Scientific Investigations Report 2013-5226, viii, 70 p., https://doi.org/10.3133/sir20135226.","productDescription":"viii, 70 p.","numberOfPages":"82","onlineOnly":"Y","ipdsId":"IP-037491","costCenters":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"links":[{"id":282086,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20135226.jpg"},{"id":282084,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2013/5226/"},{"id":282085,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2013/5226/pdf/sir2013-5226.pdf"}],"datum":"NAD 1927","country":"United States","state":"Idaho","otherGeospatial":"Beaver Creek;Camas Creek;Camas National Wildlife Refuge;Eastern Snake River Plain","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -115.2006,41.9922 ], [ -115.2006,45.3019 ], [ -110.3906,45.3019 ], [ -110.3906,41.9922 ], [ -115.2006,41.9922 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53cd5b02e4b0b290850f9bca","contributors":{"authors":[{"text":"Rattray, Gordon W. 0000-0002-1690-3218 grattray@usgs.gov","orcid":"https://orcid.org/0000-0002-1690-3218","contributorId":2521,"corporation":false,"usgs":true,"family":"Rattray","given":"Gordon","email":"grattray@usgs.gov","middleInitial":"W.","affiliations":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"preferred":true,"id":487060,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ginsbach, Michael L.","contributorId":56972,"corporation":false,"usgs":true,"family":"Ginsbach","given":"Michael","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":487061,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70074669,"text":"fs20143006 - 2014 - The 3D Elevation Program: summary for New York","interactions":[],"lastModifiedDate":"2016-08-17T15:56:56","indexId":"fs20143006","displayToPublicDate":"2014-02-06T14:08:00","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2014-3006","title":"The 3D Elevation Program: summary for New York","docAbstract":"Elevation data are essential to a broad range of applications, including forest resources management, wildlife and habitat management, national security, recreation, and many others. For the State of New York, elevation data are critical for coastal zone management, natural resources conservation, agriculture and precision farming, flood risk management, infrastructure and construction management, water supply and quality, and other business uses. Today, high-density light detection and ranging (lidar) data are the primary sources for deriving elevation models and other datasets. Federal, State, Tribal, and local agencies work in partnership to (1) replace data that are older and of lower quality and (2) provide coverage where publicly accessible data do not exist. A joint goal of State and Federal partners is to acquire consistent, statewide coverage to support existing and emerging applications enabled by lidar data.
\nThe National Enhanced Elevation Assessment evaluated multiple elevation data acquisition options to determine the optimal data quality and data replacement cycle relative to cost to meet the identified requirements of the user community. The evaluation demonstrated that lidar acquisition at quality level 2 for the conterminous United States and quality level 5 ifsar data for Alaska with a 6- to 10-year acquisition cycle provided the highest benefit/cost ratios. The 3D Elevation Program (3DEP) initiative selected an 8-year acquisition cycle for the respective quality levels. 3DEP, managed by the U.S. Geological Survey (USGS), the Office of Management and Budget Circular A–16 lead agency for terrestrial elevation data, responds to the growing need for high-quality topographic data and a wide range of other 3D representations of the Nation’s natural and constructed features.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20143006","usgsCitation":"Carswell, W., 2014, The 3D Elevation Program: summary for New York: U.S. Geological Survey Fact Sheet 2014-3006, 2 p., https://doi.org/10.3133/fs20143006.","productDescription":"2 p.","numberOfPages":"2","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-052807","costCenters":[{"id":423,"text":"National Geospatial Program","active":true,"usgs":true}],"links":[{"id":282076,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs20143006.jpg"},{"id":282074,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2014/3006/"},{"id":282075,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2014/3006/pdf/fs2014-3006.pdf","text":"Report","size":"370 KB","linkFileType":{"id":1,"text":"pdf"},"description":"Report"}],"country":"United States","state":"New 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Jr. carswell@usgs.gov","contributorId":1787,"corporation":false,"usgs":true,"family":"Carswell","given":"William J.","suffix":"Jr.","email":"carswell@usgs.gov","affiliations":[{"id":423,"text":"National Geospatial Program","active":true,"usgs":true}],"preferred":false,"id":489750,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70074056,"text":"fs20143005 - 2014 - The 3D Elevation Program: summary for Maryland","interactions":[],"lastModifiedDate":"2016-08-17T16:25:35","indexId":"fs20143005","displayToPublicDate":"2014-02-06T14:06:00","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2014-3005","title":"The 3D Elevation Program: summary for Maryland","docAbstract":"Elevation data are essential to a broad range of applications, including forest resources management, wildlife and habitat management, national security, recreation, and many others. For the State of Maryland, elevation data are critical for agriculture and precision farming, natural resources conservation such as the Chesapeake Bay and its watershed, flood risk management, urban and regional planning, infrastructure and construction management, water supply and quality, coastal zone management, and other business uses. Today, high-density light detection and ranging (lidar) data are the primary sources for deriving elevation models and other datasets. Federal, State, Tribal, and local agencies work in partnership to (1) replace data that are older and of lower quality and (2) provide coverage where publicly accessible data do not exist. A joint goal of State and Federal partners is to acquire consistent, statewide coverage to support existing and emerging applications enabled by lidar data.
\nThe National Enhanced Elevation Assessment evaluated multiple elevation data acquisition options to determine the optimal data quality and data replacement cycle relative to cost to meet the identified requirements of the user community. The evaluation demonstrated that lidar acquisition at quality level 2 for the conterminous United States and quality level 5 ifsar data for Alaska with a 6- to 10-year acquisition cycle provided the highest benefit/cost ratios. The 3D Elevation Program (3DEP) initiative selected an 8-year acquisition cycle for the respective quality levels. 3DEP, managed by the U.S. Geological Survey (USGS), the Office of Management and Budget Circular A–16 lead agency for terrestrial elevation data, responds to the growing need for high-quality topographic data and a wide range of other 3D representations of the Nation’s natural and constructed features.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20143005","usgsCitation":"Carswell, W., 2014, The 3D Elevation Program: summary for Maryland: U.S. Geological Survey Fact Sheet 2014-3005, 2 p., https://doi.org/10.3133/fs20143005.","productDescription":"2 p.","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-051742","costCenters":[{"id":423,"text":"National Geospatial Program","active":true,"usgs":true}],"links":[{"id":282077,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs20143005.jpg"},{"id":282072,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2014/3005/"},{"id":282073,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2014/3005/pdf/fs2014-3005.pdf","text":"Report","size":"435 KB","linkFileType":{"id":1,"text":"pdf"},"description":"Report"}],"country":"United 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