In late 2007, a perched lava channel, built up to 45 m above the preexisting surface, developed during the ongoing eruption near Pu‘u ‘Ō‘ō cone on Kīlauea Volcano’s east rift zone. The lava channel was segmented into four pools extending over a total of 1.4 km. From late October to mid-December, a cyclic behavior, consisting of steady lava level rise terminated by vigorous spattering and an abrupt drop in lava level, was commonly observed in pool 1. We use geologic observations, video, time-lapse camera images, and seismicity to characterize and understand this cyclic behavior. Spattering episodes occurred at intervals of 40–100 min during peak activity and involved small (5–10-m-high) fountains limited to the margins of the pool. Most spattering episodes had fountains which migrated downchannel. Each spattering episode was associated with a rapid lava level drop of about 1 m, which was concurrent with a conspicuous cigar-shaped tremor burst with peak frequencies of 4–5 Hz. We interpret this cyclic behavior to be gas pistoning, and this is the first documented instance of gas pistoning in lava well away from the deeper conduit. Our observations and data indicate that the gas pistoning was driven by gas accumulation beneath the visco-elastic component of the surface crust, contrary to other studies which attribute similar behavior to the periodic rise of gas slugs. The gas piston events typically had a gas mass of about 2,500 kg (similar to the explosions at Stromboli), with gas accumulation and release rates of about 1.1 and 5.7 kg s−1, respectively. The time-averaged gas output rate of the gas pistoning events accounted for about 1–2% of the total gas output rate of the east rift zone eruption.
","language":"English","publisher":"Springer","doi":"10.1007/s00445-010-0431-2","usgsCitation":"Patrick, M.R., Orr, T.R., Wilson, D.C., Dow, D.C., and Freeman, R., 2011, Cyclic spattering, seismic tremor, and surface fluctuation within a perched lava channel, Kilauea Volcano: Bulletin of Volcanology, v. 73, no. 6, p. 639-653, https://doi.org/10.1007/s00445-010-0431-2.","productDescription":"15 p.","startPage":"639","endPage":"653","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":356175,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Hawaii","otherGeospatial":"Kilauea Volcano ","volume":"73","issue":"6","noUsgsAuthors":false,"publicationDate":"2011-01-13","publicationStatus":"PW","scienceBaseUri":"5b98b475e4b0702d0e844b42","contributors":{"authors":[{"text":"Patrick, Matthew R. 0000-0002-8042-6639 mpatrick@usgs.gov","orcid":"https://orcid.org/0000-0002-8042-6639","contributorId":2070,"corporation":false,"usgs":true,"family":"Patrick","given":"Matthew","email":"mpatrick@usgs.gov","middleInitial":"R.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":741148,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Orr, Tim R. torr@usgs.gov","contributorId":139620,"corporation":false,"usgs":true,"family":"Orr","given":"Tim","email":"torr@usgs.gov","middleInitial":"R.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":false,"id":741149,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wilson, David C. 0000-0003-2582-5159 dwilson@usgs.gov","orcid":"https://orcid.org/0000-0003-2582-5159","contributorId":145580,"corporation":false,"usgs":true,"family":"Wilson","given":"David","email":"dwilson@usgs.gov","middleInitial":"C.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":741150,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Dow, David C.","contributorId":52703,"corporation":false,"usgs":true,"family":"Dow","given":"David","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":741151,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Freeman, R.","contributorId":7525,"corporation":false,"usgs":true,"family":"Freeman","given":"R.","email":"","affiliations":[],"preferred":false,"id":741152,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":5223321,"text":"5223321 - 2011 - Sampling effort and estimates of species richness based on prepositioned area electrofisher samples","interactions":[],"lastModifiedDate":"2025-03-25T15:41:27.698385","indexId":"5223321","displayToPublicDate":"2011-01-08T12:18:40","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2886,"text":"North American Journal of Fisheries Management","active":true,"publicationSubtype":{"id":10}},"title":"Sampling effort and estimates of species richness based on prepositioned area electrofisher samples","docAbstract":"Estimates of species richness based on electrofishing data are commonly used to describe the structure of fish communities. One electrofishing method for sampling riverine fishes that has become popular in the last decade is the prepositioned area electrofisher (PAE). We investigated the relationship between sampling effort and fish species richness at seven sites in the Tallapoosa River system, USA based on 1,400 PAE samples collected during 1994 and 1995. First, we estimated species richness at each site using the first-order jackknife and compared observed values for species richness and jackknife estimates of species richness to estimates based on historical collection data. Second, we used a permutation procedure and nonlinear regression to examine rates of species accumulation. Third, we used regression to predict the number of PAE samples required to collect the jackknife estimate of species richness at each site during 1994 and 1995. We found that jackknife estimates of species richness generally were less than or equal to estimates based on historical collection data. The relationship between PAE electrofishing effort and species richness in the Tallapoosa River was described by a positive asymptotic curve as found in other studies using different electrofishing gears in wadable streams. Results from nonlinear regression analyses indicted that rates of species accumulation were variable among sites and between years. Across sites and years, predictions of sampling effort required to collect jackknife estimates of species richness suggested that doubling sampling effort (to 200 PAEs) would typically increase observed species richness by not more than six species. However, sampling effort beyond about 60 PAE samples typically increased observed species richness by < 10%. We recommend using historical collection data in conjunction with a preliminary sample size of at least 70 PAE samples to evaluate estimates of species richness in medium-sized rivers. Seventy PAE samples should provide enough information to describe the relationship between sampling effort and species richness and thus facilitate evaluation of a sampling effort.","language":"English","publisher":"Wiley","doi":"10.1577/1548-8675(1998)018<0144:SEAEOS>2.0.CO;2","usgsCitation":"Bowen, Z., and Freeman, M.C., 2011, Sampling effort and estimates of species richness based on prepositioned area electrofisher samples: North American Journal of Fisheries Management, v. 18, no. 1, p. 144-153, https://doi.org/10.1577/1548-8675(1998)018<0144:SEAEOS>2.0.CO;2.","productDescription":"10 p.","startPage":"144","endPage":"153","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":198603,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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\"}}]}","volume":"18","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e499fe4b07f02db5bd598","contributors":{"authors":[{"text":"Bowen, Zachary H. 0000-0002-8656-1831","orcid":"https://orcid.org/0000-0002-8656-1831","contributorId":26932,"corporation":false,"usgs":true,"family":"Bowen","given":"Zachary H.","affiliations":[],"preferred":false,"id":338415,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Freeman, Mary C. 0000-0001-7615-6923","orcid":"https://orcid.org/0000-0001-7615-6923","contributorId":99659,"corporation":false,"usgs":true,"family":"Freeman","given":"Mary","email":"","middleInitial":"C.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":false,"id":338416,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70004271,"text":"70004271 - 2011 - Structural and functional effects of herbicides on non-target organisms in aquatic ecosystems with an emphasis on atrazine","interactions":[],"lastModifiedDate":"2018-08-29T08:02:16","indexId":"70004271","displayToPublicDate":"2011-01-08T05:15:00","publicationYear":"2011","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"chapter":"18","title":"Structural and functional effects of herbicides on non-target organisms in aquatic ecosystems with an emphasis on atrazine","docAbstract":"Herbicide use has increased dramatically around the world over the past 6 decades (Gianessi and Reigner, 2007). Few herbicides were in use in the 1950s. However, by 2001 approximately 1.14 billion kilograms of herbicides were applied globally for the control of undesireable vegetation in agricultural, silvicultural, lawncare, aquacultural, and irrigation/recreational water management activities (Kiely et al., 2004). Twenty-eight percent of the total mass of herbicides is applied in the United States, with the remaining 72 percent being applied elsewhere around the globe (Kiely et al., 2004). Herbicides represent 36% of global pesticide use, followed by insecticides (25%), fungicides (10%) and other chemical classes (Kiely et al., 2004).
\nAgricultural production accounts for approximately 90% of herbicide use in the U.S. (Kiely et al., 2004). Gianessi and Reigner (2007) indicated that herbicides are routinely used on more than 90% of the area designated for large commercial crops including corn, soybeans, cotton, sugar beets, peanuts, and rice. Increased farm mechanization, technological advancements in production of inexpensive sources of inorganic nitrogen fertilizer (e.g., anhydrous ammonia), and conversion of forest, grassland, and wetland habitats to cropland has led to a tremendous increase in global food production over the past half-century. Herbicides have augmented advances in large-scale agricultural systems and have largely replaced mechanical and hand-weeding control mechanisms (Gianessi and Reigner, 2007). The wide-spread use of herbicides in agriculture has resulted in frequent chemical detections in surface and groundwaters (Gilliom, 2007). The majority of herbicides used are highly water soluble and are therefore prone to runoff from terrestrial environments. In additon, spray drift and atmospheric deposition can contribute to herbicide contamination of aquatic environments. Lastly, selected herbicides are deliberately applied to aquatic environments for controlling nuisance aquatic vegetation. Although aquatic herbicide exposure has been widely documented, these exposures are not necessarily related to adverse non-target ecological effects on natural communities in aquatic environments. This chapter evaluates the potential for effects of herbicides on the structure and function of aquatic envrionments at the population, community, and ecosystem levels of biological organization. In this manuscript I examine several critical aspects of the subject matter area: primary herbicides in use and chemical modes of action; the regulatory process used for registration and risk assessment of herbicides; data regarding non-target risks and the relative sensitivity of aquatic plants, inveretebrates, and fish to herbicides; and emerging areas of science regarding the potential for endocrine-disrupting effects of herbicides on aquatic vertebrates. Much of the focus of this paper is on atrazine due to the extensive database which exists regarding its fate and effects.
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2008-2009","interactions":[],"lastModifiedDate":"2012-02-10T00:11:57","indexId":"ofr20111002","displayToPublicDate":"2011-01-07T00:00:00","publicationYear":"2011","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":"2011-1002","title":"Seasonal Flux and Assemblage Composition of Planktic Foraminifera from the Northern Gulf of Mexico, 2008-2009","docAbstract":"The U.S. Geological Survey established a sediment trap in the northern Gulf of Mexico to collect time-series data on the flux and assemblage composition of live planktic foraminifers. This report provides an update of the 2008 time-series data to include results from 2009. Ten species, or varieties, of planktic foraminifers constitute >90 percent of the assemblage: Globigerinoides ruber (pink and white varieties), Gs. sacculifer, Globigerina calida, Globigerinella aequilateralis, Globorotalia menardii group, Gt. truncatulinoides, Pulleniatina spp., Orbulina universa, and Neogloboquadrina dutertrei. The mean daily flux is about 215 tests per square meter per day, with maximum fluxes of >800 tests per square meter per day during early February and minimum fluxes of <20 tests per square meter per day during early October. Globorotalia truncatulinoides shows a clear preference for the winter and continues to provide the greatest number of tests for 2009, consistent with data from 2008. Globigerinoides ruber (white variety) flux increased more than 3 orders of magnitude from an average of 3 tests per square meter per day in 2008 to 11 tests per square meter per day in 2009. However, though Gs. ruber (white) abundance increased from 1.5 percent in 2008 to 4.9 percent in 2009, it continues to be a minor contributor to the total assemblage composition, in contrast to assemblage records from nearby sediments that indicate Gs. ruber (white) typically comprises approximately 20-30 percent of the assemblage.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20111002","usgsCitation":"Spear, J.W., and Poore, R.Z., 2011, Seasonal Flux and Assemblage Composition of Planktic Foraminifera from the Northern Gulf of Mexico, 2008-2009: U.S. Geological Survey Open-File Report 2011-1002, 17 p.; XLS Download of Table 1, https://doi.org/10.3133/ofr20111002.","productDescription":"17 p.; XLS Download of Table 1","onlineOnly":"N","additionalOnlineFiles":"Y","temporalStart":"2008-01-01","temporalEnd":"2009-12-31","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":203780,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":19185,"rank":200,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2011/1002/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -100,20 ], [ -100,33 ], [ -80,33 ], [ -80,20 ], [ -100,20 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4abde4b07f02db673e55","contributors":{"authors":[{"text":"Spear, Jessica W. jspear@usgs.gov","contributorId":3619,"corporation":false,"usgs":true,"family":"Spear","given":"Jessica","email":"jspear@usgs.gov","middleInitial":"W.","affiliations":[],"preferred":true,"id":344216,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Poore, Richard Z. rpoore@usgs.gov","contributorId":345,"corporation":false,"usgs":true,"family":"Poore","given":"Richard","email":"rpoore@usgs.gov","middleInitial":"Z.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":344215,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70073548,"text":"70073548 - 2011 - Aftershock distribution as a constraint on the geodetic model of coseismic slip for the 2004 Parkfield earthquake","interactions":[],"lastModifiedDate":"2014-01-20T15:32:47","indexId":"70073548","displayToPublicDate":"2011-01-04T14:53:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3208,"text":"Pure and Applied Geophysics","active":true,"publicationSubtype":{"id":10}},"title":"Aftershock distribution as a constraint on the geodetic model of coseismic slip for the 2004 Parkfield earthquake","docAbstract":"Several studies of the 2004 Parkfield earthquake have linked the spatial distribution of the event’s aftershocks to the mainshock slip distribution on the fault. Using geodetic data, we find a model of coseismic slip for the 2004 Parkfield earthquake with the constraint that the edges of coseismic slip patches align with aftershocks. The constraint is applied by encouraging the curvature of coseismic slip in each model cell to be equal to the negative of the curvature of seismicity density. The large patch of peak slip about 15 km northwest of the 2004 hypocenter found in the curvature-constrained model is in good agreement in location and amplitude with previous geodetic studies and the majority of strong motion studies. The curvature-constrained solution shows slip primarily between aftershock “streaks” with the continuation of moderate levels of slip to the southeast. These observations are in good agreement with strong motion studies, but inconsistent with the majority of published geodetic slip models. Southeast of the 2004 hypocenter, a patch of peak slip observed in strong motion studies is absent from our curvature-constrained model, but the available GPS data do not resolve slip in this region. We conclude that the geodetic slip model constrained by the aftershock distribution fits the geodetic data quite well and that inconsistencies between models derived from seismic and geodetic data can be attributed largely to resolution issues.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Pure and Applied Geophysics","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Springer","doi":"10.1007/s00024-010-0214-x","usgsCitation":"Bennington, N., Thurber, C., Feigl, K., and Murray-Moraleda Jessica, 2011, Aftershock distribution as a constraint on the geodetic model of coseismic slip for the 2004 Parkfield earthquake: Pure and Applied Geophysics, v. 168, no. 10, p. 1553-1565, https://doi.org/10.1007/s00024-010-0214-x.","productDescription":"13 p.","startPage":"1553","endPage":"1565","ipdsId":"IP-016723","costCenters":[],"links":[{"id":281296,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":281295,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s00024-010-0214-x"}],"country":"United States","state":"California","city":"Parkfield","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -120.452654,35.879686 ], [ -120.452654,35.919686 ], [ -120.412654,35.919686 ], [ -120.412654,35.879686 ], [ -120.452654,35.879686 ] ] ] } } ] }","volume":"168","issue":"10","noUsgsAuthors":false,"publicationDate":"2010-11-10","publicationStatus":"PW","scienceBaseUri":"53cd4bf1e4b0b290850f0a7b","contributors":{"authors":[{"text":"Bennington, Ninfa","contributorId":49699,"corporation":false,"usgs":true,"family":"Bennington","given":"Ninfa","affiliations":[],"preferred":false,"id":488914,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Thurber, Clifford","contributorId":44067,"corporation":false,"usgs":true,"family":"Thurber","given":"Clifford","affiliations":[],"preferred":false,"id":488913,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Feigl, Kurt","contributorId":13895,"corporation":false,"usgs":true,"family":"Feigl","given":"Kurt","affiliations":[],"preferred":false,"id":488912,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Murray-Moraleda Jessica","contributorId":128202,"corporation":true,"usgs":false,"organization":"Murray-Moraleda Jessica","id":535624,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70074338,"text":"70074338 - 2011 - Quantifying solute transport processes: Are chemically \"conservative\" tracers electrically conservative?","interactions":[],"lastModifiedDate":"2020-01-14T09:59:44","indexId":"70074338","displayToPublicDate":"2011-01-04T11:31:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1808,"text":"Geophysics","active":true,"publicationSubtype":{"id":10}},"title":"Quantifying solute transport processes: Are chemically \"conservative\" tracers electrically conservative?","docAbstract":"The concept of a nonreactive or conservative tracer, commonly invoked in investigations of solute transport, requires additional study in the context of electrical geophysical monitoring. Tracers that are commonly considered conservative may undergo reactive processes, such as ion exchange, thus changing the aqueous composition of the system. As a result, the measured electrical conductivity may reflect not only solute transport but also reactive processes. We have evaluated the impacts of ion exchange reactions, rate-limited mass transfer, and surface conduction on quantifying tracer mass, mean arrival time, and temporal variance in laboratory-scale column experiments. Numerical examples showed that (1) ion exchange can lead to resistivity-estimated tracer mass, velocity, and dispersivity that may be inaccurate; (2) mass transfer leads to an overestimate in the mobile tracer mass and an underestimate in velocity when using electrical methods; and (3) surface conductance does not notably affect estimated moments when high-concentration tracers are used, although this phenomenon may be important at low concentrations or in sediments with high and/or spatially variable cation-exchange capacity. In all cases, colocated groundwater concentration measurements are of high importance for interpreting geophysical data with respect to the controlling transport processes of interest.","language":"English","publisher":"Society of Exploration Geophysicists","doi":"10.1190/1.3511356","usgsCitation":"Singha, K., Li, L., Day-Lewis, F.D., and Regberg, A.B., 2011, Quantifying solute transport processes: Are chemically \"conservative\" tracers electrically conservative?: Geophysics, v. 76, no. 1, p. F53-F63, https://doi.org/10.1190/1.3511356.","productDescription":"11 p.","startPage":"F53","endPage":"F63","numberOfPages":"11","ipdsId":"IP-022860","costCenters":[{"id":486,"text":"OGW Branch of Geophysics","active":true,"usgs":true},{"id":493,"text":"Office of Ground Water","active":true,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":281650,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"76","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53cd6ec9e4b0b29085105ff4","contributors":{"authors":[{"text":"Singha, Kamini","contributorId":76733,"corporation":false,"usgs":true,"family":"Singha","given":"Kamini","affiliations":[],"preferred":false,"id":489518,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Li, Li","contributorId":107607,"corporation":false,"usgs":true,"family":"Li","given":"Li","affiliations":[],"preferred":false,"id":489519,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Day-Lewis, Frederick D. 0000-0003-3526-886X daylewis@usgs.gov","orcid":"https://orcid.org/0000-0003-3526-886X","contributorId":1672,"corporation":false,"usgs":true,"family":"Day-Lewis","given":"Frederick","email":"daylewis@usgs.gov","middleInitial":"D.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":486,"text":"OGW Branch of Geophysics","active":true,"usgs":true},{"id":493,"text":"Office of Ground Water","active":true,"usgs":true}],"preferred":true,"id":489516,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Regberg, Aaron B.","contributorId":19074,"corporation":false,"usgs":true,"family":"Regberg","given":"Aaron","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":489517,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70175493,"text":"70175493 - 2011 - Chapter 11: Management considerations","interactions":[{"subject":{"id":70175493,"text":"70175493 - 2011 - Chapter 11: Management considerations","indexId":"70175493","publicationYear":"2011","noYear":false,"chapter":"11","title":"Chapter 11: Management considerations"},"predicate":"IS_PART_OF","object":{"id":70118768,"text":"70118768 - 2011 - Sagebrush ecosystem conservation and management: Ecoregional assessment tools and models for the Wyoming Basins","indexId":"70118768","publicationYear":"2011","noYear":false,"title":"Sagebrush ecosystem conservation and management: Ecoregional assessment tools and models for the Wyoming Basins"},"id":1}],"isPartOf":{"id":70118768,"text":"70118768 - 2011 - Sagebrush ecosystem conservation and management: Ecoregional assessment tools and models for the Wyoming Basins","indexId":"70118768","publicationYear":"2011","noYear":false,"title":"Sagebrush ecosystem conservation and management: Ecoregional assessment tools and models for the Wyoming Basins"},"lastModifiedDate":"2020-08-31T14:47:15.690862","indexId":"70175493","displayToPublicDate":"2011-01-03T01:15:00","publicationYear":"2011","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"chapter":"11","title":"Chapter 11: Management considerations","docAbstract":"We conducted an ecoregional assessment of sagebrush (Artemisia spp.) ecosystems in the Wyoming Basins and surrounding regions (WBEA) to determine broad-scale species-environmental relationships. Our goal was to assess the potential influence from threats to the sagebrush ecosystem on associated wildlife through the use of spatially explicit occurrence and abundance models. These models were developed using information from field surveys conducted along gradients of vegetation productivity and human disturbance integrated with spatial datasets delineating land cover, topography, and human land use in the WBEA area. Our evaluation included all sagebrush-associated wildlife species across multiple taxa whose habitat requirements and distributions were appropriate for modeling and interpretation at the broad scales of this assessment. Dominant land uses were included in delineating the human footprint. Although overall levels of the cumulative human footprint were generally low across the WBEA area, oil and gas activities have decreased the amount of shrubland habitats and increased fragmentation within development regions over the last century. At the scale of this assessment, the influence of humans was primarily expressed as an indirect function through actions that altered or reduced available habitat. We identified 65 plant species of conservation concern; 28 of 40 vertebrate species associated with sagebrush were species of concern in at least one state. We modeled environmental relationships for 15 wildlife species from data collected from surveys conducted in 2005 and 2006 designed to sample multiple species and taxa along land cover and land use gradients across the WBEA area. Occurrence of 3 species was negatively influenced by human features; anthropogenic features were a positive influence for 3 species, 8 had a mixed response, and 1 had no measurable relationship. Sagebrush land cover, considered in all wildlife models, was important to most species but differed among species in the proportion of sagebrush required and at what spatial extent. For most species examined, the spatial extent at which sagebrush cover influenced the probability of occupancy was much larger than an individual’s home range size. Exotic plants were strongly associated with human features, particularly roads, which may function as linear vectors to facilitate spread of exotic plants across the WBEA area. We used coarse-grained spatial and thematic data because of the large spatial extent (350,000 km2) of the WBEA area and the need for a consistent land cover map for the region. Distributions of species occurrence or abundance mapped in this assessment need to be corroborated with information on population demographics. In addition, our results should be interpreted relative to assumptions inherent in broad-scale ecoregional assessments. Our assessment provides managers with extensive and detailed maps of occurrence and abundance, allowing for status assessments of native species, diversity and richness, natural communities, and ecological systems present within the Wyoming Basins.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Sagebrush ecosystem conservation and management: Ecoregional assessment tools and models for the Wyoming Basins","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Allen Press","publisherLocation":"Lawrence, Kansas","isbn":"978-0-615-55530-0","usgsCitation":"Knick, S.T., Hanser, S.E., Leu, M., Aldridge, C.L., Nielsen, S.E., Rowland, M.M., Finn, S.P., and Wisdom, M.J., 2011, Chapter 11: Management considerations, chap. 11 of Sagebrush ecosystem conservation and management: Ecoregional assessment tools and models for the Wyoming Basins, p. 387-409.","productDescription":"23 p.","startPage":"387","endPage":"409","numberOfPages":"23","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true},{"id":291,"text":"Fort Collins Science 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Small populations are of particular interest because ecological theory suggests that they are vulnerable to the deleterious effects of environmental, demographic, and genetic stochasticity as well as natural and human-induced catastrophes. However, testing theory and developing applicable conservation measures for small populations is hampered by sparse data. This lack of information is frequently driven by computational issues with small data sets that can be confounded by the impacts of stressors. We present estimates of demographic parameters from a small population of Boreal Toads (Anaxyrus boreas) that has been surveyed since 2001 by using capture-recapture methods. Estimates of annual adult survival probability are high relative to other Boreal Toad populations, whereas estimates of recruitment rate are low. Despite using simple models, clear patterns emerged from the analyses, suggesting that population size is constrained by low recruitment of adults and is declining slowly. These patterns provide insights that are useful in developing management directions for this small population, and this study serves as an example of the potential for small populations to yield robust and useful information despite sample size constraints.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Herpetologica","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"The Herpetologists' League","publisherLocation":"http://www.herpetologistsleague.org","doi":"10.1655/HERPETOLOGICA-D-11-00016.1","usgsCitation":"Muths, E., and Scherer, R.D., 2011, Portrait of a small population of boreal toads (Anaxyrus boreas): Herpetologica, v. 67, no. 4, p. 369-377, https://doi.org/10.1655/HERPETOLOGICA-D-11-00016.1.","productDescription":"9 p.","startPage":"369","endPage":"377","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":257317,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":257315,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1655/HERPETOLOGICA-D-11-00016.1","linkFileType":{"id":5,"text":"html"}}],"volume":"67","issue":"4","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a7dffe4b0c8380cd7a29a","contributors":{"authors":[{"text":"Muths, Erin 0000-0002-5498-3132","orcid":"https://orcid.org/0000-0002-5498-3132","contributorId":14012,"corporation":false,"usgs":true,"family":"Muths","given":"Erin","affiliations":[],"preferred":false,"id":349459,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Scherer, Rick D.","contributorId":97368,"corporation":false,"usgs":false,"family":"Scherer","given":"Rick","email":"","middleInitial":"D.","affiliations":[{"id":6674,"text":"Department of Integrative Biology, University of Colorado Denver","active":true,"usgs":false}],"preferred":false,"id":349460,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70208557,"text":"70208557 - 2011 - Assessment of mangrove forests in the Pacific region using Landsat imagery","interactions":[],"lastModifiedDate":"2020-02-20T10:01:40","indexId":"70208557","displayToPublicDate":"2011-01-01T15:54:17","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2172,"text":"Journal of Applied Remote Sensing","active":true,"publicationSubtype":{"id":10}},"title":"Assessment of mangrove forests in the Pacific region using Landsat imagery","docAbstract":"The information on the mangrove forests for the Pacific region is scarce or outdated. A regional assessment based on a consistent methodology and data sources was needed to understand their true extent. Our investigation offers a regionally consistent, high resolution (30 m), and the most comprehensive mapping of mangrove forests on the islands of American Samoa, Fiji, French Polynesia, Guam, Hawaii, Kiribati, Marshall Islands, Micronesia, Nauru, New Caledonia, Northern Mariana Islands, Palau, Papua New Guinea, Samoa, Solomon Islands, Tonga, Tuvalu, Vanuatu, and Wallis and Futuna Islands for the year 2000. We employed a hybrid supervised and unsupervised image classification technique on a total of 128 Landsat scenes gathered between 1999 and 2004, and validated the results using existing geographic information science (GIS) datasets, high resolution imagery, and published literature. We also draw a comparative analysis with the mangrove forests inventory published by the Food and Agriculture Association (FAO) of the United Nations. Our estimate shows a total of 623755 hectares of mangrove forests in the Pacific region; an increase of 18% from FAO's estimates. Although mangrove forests are disproportionately distributed toward a few larger islands on the western Pacific, they are also significant in many smaller islands.
","language":"English","publisher":"SPIE","doi":"10.1117/1.3563584","usgsCitation":"Bhattarai, B., and Giri, C., 2011, Assessment of mangrove forests in the Pacific region using Landsat imagery: Journal of Applied Remote Sensing, v. 5, no. 1, 053509, https://doi.org/10.1117/1.3563584.","productDescription":"053509","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":372370,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"American Samoa, Fiji, French Polynesia, Guam, Hawaii, Kiribati, Marshall Islands, Micronesia, Nauru, New Caledonia, Northern Mariana Islands, Palau, Papua New Guinea, Samoa, Solomon Islands, Tonga, Tuvalu, Vanuatu, Wallis and Futuna Islands ","volume":"5","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Bhattarai, Bibek","contributorId":222541,"corporation":false,"usgs":false,"family":"Bhattarai","given":"Bibek","email":"","affiliations":[],"preferred":false,"id":782470,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Giri, Chandra cgiri@usgs.gov","contributorId":189128,"corporation":false,"usgs":true,"family":"Giri","given":"Chandra","email":"cgiri@usgs.gov","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":782471,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70118621,"text":"70118621 - 2011 - Challenges of predicting the potential distribution of a slow-spreading invader: a habitat suitability map for an invasive riparian tree","interactions":[],"lastModifiedDate":"2014-07-29T15:49:53","indexId":"70118621","displayToPublicDate":"2011-01-01T15:48:19","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1018,"text":"Biological Invasions","active":true,"publicationSubtype":{"id":10}},"title":"Challenges of predicting the potential distribution of a slow-spreading invader: a habitat suitability map for an invasive riparian tree","docAbstract":"Understanding the potential spread of invasive species is essential for land managers to prevent their establishment and restore impacted habitat. Habitat suitability modeling provides a tool for researchers and managers to understand the potential extent of invasive species spread. Our goal was to use habitat suitability modeling to map potential habitat of the riparian plant invader, Russian olive (Elaeagnus angustifolia). Russian olive has invaded riparian habitat across North America and is continuing to expand its range. We compiled 11 disparate datasets for Russian olive presence locations (n = 1,051 points and 139 polygons) in the western US and used Maximum entropy (Maxent) modeling to develop two habitat suitability maps for Russian olive in the western United States: one with coarse-scale water data and one with fine-scale water data. Our models were able to accurately predict current suitable Russian olive habitat (Coarse model: training AUC = 0.938, test AUC = 0.907; Fine model: training AUC = 0.923, test AUC = 0.885). Distance to water was the most important predictor for Russian olive presence in our coarse-scale water model, but it was only the fifth most important variable in the fine-scale model, suggesting that when water bodies are considered on a fine scale, Russian olive does not necessarily rely on water. Our model predicted that Russian olive has suitable habitat further west from its current distribution, expanding into the west coast and central North America. Our methodology proves useful for identifying potential future areas of invasion. Model results may be influenced by locations of cultivated individuals and sampling bias. Further study is needed to examine the potential for Russian olive to invade beyond its current range. Habitat suitability modeling provides an essential tool for enhancing our understanding of invasive species spread.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Biological Invasions","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Kluwer Academic Publishers","publisherLocation":"Dordrecht","doi":"10.1007/s10530-010-9798-4","usgsCitation":"Jarnevich, C.S., and Reynolds, L., 2011, Challenges of predicting the potential distribution of a slow-spreading invader: a habitat suitability map for an invasive riparian tree: Biological Invasions, v. 13, no. 1, p. 153-163, https://doi.org/10.1007/s10530-010-9798-4.","productDescription":"11 p.","startPage":"153","endPage":"163","numberOfPages":"11","costCenters":[],"links":[{"id":291359,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":291358,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s10530-010-9798-4"}],"volume":"13","issue":"1","noUsgsAuthors":false,"publicationDate":"2010-07-02","publicationStatus":"PW","scienceBaseUri":"57fe7fb6e4b0824b2d1478f8","contributors":{"authors":[{"text":"Jarnevich, Catherine S. 0000-0002-9699-2336 jarnevichc@usgs.gov","orcid":"https://orcid.org/0000-0002-9699-2336","contributorId":3424,"corporation":false,"usgs":true,"family":"Jarnevich","given":"Catherine","email":"jarnevichc@usgs.gov","middleInitial":"S.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":497151,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Reynolds, Lindsay V.","contributorId":102732,"corporation":false,"usgs":true,"family":"Reynolds","given":"Lindsay V.","affiliations":[],"preferred":false,"id":497152,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70200183,"text":"70200183 - 2011 - I3N risk assessment and pathway analysis: Tools for the prevention of biological invasions","interactions":[],"lastModifiedDate":"2018-10-11T15:23:46","indexId":"70200183","displayToPublicDate":"2011-01-01T15:23:39","publicationYear":"2011","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"I3N risk assessment and pathway analysis: Tools for the prevention of biological invasions","docAbstract":"Information on invasive alien species from published and unpublished accounts and databases is usually scattered in locations and formats that are not easily accessible. Customized informatics tools for collecting and organizing invasive species information can help resource managers better control biological invasions. The Invasives Information Network (I3N) of the Inter-American Biodiversity Information Network has created a distributed network of databases of invasive species profiles, subject matter experts, projects, and datasets hosted and published online by natural resource institutions throughout the Americas. Invasive species information is documented and published online in a standard format that can be searched by the public. Profiles and occurrence information on invaders can be documented using the I3N Database on Invasive Alien Species, published online using an easy-to-use template, and exchanged in standard formats. The I3N Risk Assessment and Pathway Analysis tools are designed to be used in conjunction with I3N Databases to assist decision-makers in setting priorities for containment. All these tools are freely available online at http://i3n.iabin.net. Coordinated by the United States Geological Survey National Biological Information Infrastructure, this network serves as an example of successful capacity building and regional collaboration on an issue of global significance.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Plant invasions: Policies, politics, and practices; Proceedings of the 5th Biennial Weeds Across Borders Conference","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"5th Biennial Weeds Across Borders Conference","conferenceDate":"June 1-4, 2010","conferenceLocation":"Shepherdstown, WV","language":"English","publisher":"Montana State University, Center for Invasive Plant Management","usgsCitation":"Simpson, A., and Sellers, E.A., 2011, I3N risk assessment and pathway analysis: Tools for the prevention of biological invasions, in Plant invasions: Policies, politics, and practices; Proceedings of the 5th Biennial Weeds Across Borders Conference, Shepherdstown, WV, June 1-4, 2010, p. 177-183.","productDescription":"7 p.","startPage":"177","endPage":"183","costCenters":[{"id":37226,"text":"Core Science Analytics, Synthesis, and Libraries","active":true,"usgs":true}],"links":[{"id":358303,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5c10c250e4b034bf6a7f1816","contributors":{"authors":[{"text":"Simpson, Annie 0000-0001-8338-5134 asimpson@usgs.gov","orcid":"https://orcid.org/0000-0001-8338-5134","contributorId":127,"corporation":false,"usgs":true,"family":"Simpson","given":"Annie","email":"asimpson@usgs.gov","affiliations":[{"id":208,"text":"Core Science Analytics and Synthesis","active":true,"usgs":true}],"preferred":true,"id":748321,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sellers, Elizabeth A. 0000-0003-4676-2994 esellers@usgs.gov","orcid":"https://orcid.org/0000-0003-4676-2994","contributorId":4704,"corporation":false,"usgs":true,"family":"Sellers","given":"Elizabeth","email":"esellers@usgs.gov","middleInitial":"A.","affiliations":[{"id":208,"text":"Core Science Analytics and Synthesis","active":true,"usgs":true}],"preferred":true,"id":748322,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70124936,"text":"70124936 - 2011 - Tracking the autumn migration of the bar-headed goose (Anser indicus) with satellite telemetry and relationship to environmental conditions","interactions":[],"lastModifiedDate":"2017-08-23T09:18:20","indexId":"70124936","displayToPublicDate":"2011-01-01T15:04:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2084,"text":"International Journal of Zoology","active":true,"publicationSubtype":{"id":10}},"title":"Tracking the autumn migration of the bar-headed goose (Anser indicus) with satellite telemetry and relationship to environmental conditions","docAbstract":"The autumn migration routes of bar-headed geese captured before the 2008 breeding season at Qinghai Lake, China, were documented using satellite tracking data. To assess how the migration strategies of bar-headed geese are influenced by environmental conditions, the relationship between migratory routes, temperatures, and vegetation coverage at stopovers sites estimated with the Normalized Difference Vegetation Index (NDVI) were analyzed. Our results showed that there were four typical migration routes in autumn with variation in timing among individuals in start and end times and in total migration and stopover duration. The observed variation may be related to habitat type and other environmental conditions along the routes. On average, these birds traveled about 1300 to 1500 km, refueled at three to six stopover sites and migrated for 73 to 83 days. The majority of the habitat types at stopover sites were lake, marsh, and shoal wetlands, with use of some mountainous regions, and farmland areas.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"International Journal of Zoology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Hindawi Publishing Corporation","doi":"10.1155/2011/323847","usgsCitation":"Zhang, Y., Hao, M., Takekawa, J.Y., Lei, F., Yan, B., Prosser, D.J., Douglas, D.C., Xing, Z., and Newman, S.H., 2011, Tracking the autumn migration of the bar-headed goose (Anser indicus) with satellite telemetry and relationship to environmental conditions: International Journal of Zoology, v. 2011, 323847; 10 p., https://doi.org/10.1155/2011/323847.","productDescription":"323847; 10 p.","numberOfPages":"10","ipdsId":"IP-030008","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":475045,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1155/2011/323847","text":"Publisher Index Page"},{"id":293847,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":293816,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1155/2011/323847"}],"country":"China","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ 80.0,25.0 ], [ 80.0,35.0 ], [ 100.0,35.0 ], [ 100.0,25.0 ], [ 80.0,25.0 ] ] ] } } ] }","volume":"2011","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"54140b2ce4b082fed288b9af","chorus":{"doi":"10.1155/2011/323847","url":"http://dx.doi.org/10.1155/2011/323847","publisher":"Hindawi Publishing Corporation","authors":"Zhang Yaonan, Hao Meiyu, Takekawa John Y., Lei Fumin, Yan Baoping, Prosser Diann J., Douglas David C., Xing Zhi, Newman Scott H.","journalName":"International Journal of Zoology","publicationDate":"2011","auditedOn":"9/25/2015","publiclyAccessibleDate":"1/1/2011"},"contributors":{"authors":[{"text":"Zhang, Yaonan","contributorId":50448,"corporation":false,"usgs":true,"family":"Zhang","given":"Yaonan","email":"","affiliations":[],"preferred":false,"id":501022,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hao, Meiyu","contributorId":32835,"corporation":false,"usgs":true,"family":"Hao","given":"Meiyu","email":"","affiliations":[],"preferred":false,"id":501020,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Takekawa, John Y. 0000-0003-0217-5907 john_takekawa@usgs.gov","orcid":"https://orcid.org/0000-0003-0217-5907","contributorId":176168,"corporation":false,"usgs":true,"family":"Takekawa","given":"John","email":"john_takekawa@usgs.gov","middleInitial":"Y.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":false,"id":501017,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lei, Fumin","contributorId":33841,"corporation":false,"usgs":true,"family":"Lei","given":"Fumin","email":"","affiliations":[],"preferred":false,"id":501021,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Yan, Baoping","contributorId":76871,"corporation":false,"usgs":true,"family":"Yan","given":"Baoping","affiliations":[],"preferred":false,"id":501024,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Prosser, Diann J. 0000-0002-5251-1799 dprosser@usgs.gov","orcid":"https://orcid.org/0000-0002-5251-1799","contributorId":2389,"corporation":false,"usgs":true,"family":"Prosser","given":"Diann","email":"dprosser@usgs.gov","middleInitial":"J.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":501019,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Douglas, David C. 0000-0003-0186-1104 ddouglas@usgs.gov","orcid":"https://orcid.org/0000-0003-0186-1104","contributorId":2388,"corporation":false,"usgs":true,"family":"Douglas","given":"David","email":"ddouglas@usgs.gov","middleInitial":"C.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":501018,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Xing, Zhi","contributorId":61958,"corporation":false,"usgs":true,"family":"Xing","given":"Zhi","email":"","affiliations":[],"preferred":false,"id":501023,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Newman, Scott H.","contributorId":101372,"corporation":false,"usgs":true,"family":"Newman","given":"Scott","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":501025,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70047050,"text":"70047050 - 2011 - Phase and amplitude inversion of crosswell radar data","interactions":[],"lastModifiedDate":"2013-07-22T14:06:58","indexId":"70047050","displayToPublicDate":"2011-01-01T14:04:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1808,"text":"Geophysics","active":true,"publicationSubtype":{"id":10}},"title":"Phase and amplitude inversion of crosswell radar data","docAbstract":"Phase and amplitude inversion of crosswell radar data estimates the logarithm of complex slowness for a 2.5D heterogeneous model. The inversion is formulated in the frequency domain using the vector Helmholtz equation. The objective function is minimized using a back-propagation method that is suitable for a 2.5D model and that accounts for the near-, intermediate-, and far-field regions of the antennas. The inversion is tested with crosswell radar data collected in a laboratory tank. The model anomalies are consistent with the known heterogeneity in the tank; the model’s relative dielectric permittivity, which is calculated from the real part of the estimated complex slowness, is consistent with independent laboratory measurements. The methodologies developed for this inversion can be adapted readily to inversions of seismic data (e.g., crosswell seismic and vertical seismic profiling data).","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Geophysics","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Society of Exploration Geophysicists","doi":"10.1190/1.3554412","usgsCitation":"Ellefsen, K.J., Mazzella, A.T., Horton, R., and McKenna, J.R., 2011, Phase and amplitude inversion of crosswell radar data: Geophysics, v. 76, no. 3, 12 p., https://doi.org/10.1190/1.3554412.","productDescription":"12 p.","ipdsId":"IP-023078","costCenters":[],"links":[{"id":275232,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":275031,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1190/1.3554412"}],"volume":"76","issue":"3","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51ee5467e4b00ffbed48f8c5","contributors":{"authors":[{"text":"Ellefsen, Karl J. 0000-0003-3075-4703 ellefsen@usgs.gov","orcid":"https://orcid.org/0000-0003-3075-4703","contributorId":789,"corporation":false,"usgs":true,"family":"Ellefsen","given":"Karl","email":"ellefsen@usgs.gov","middleInitial":"J.","affiliations":[{"id":82803,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":false}],"preferred":true,"id":480932,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mazzella, Aldo T.","contributorId":78630,"corporation":false,"usgs":true,"family":"Mazzella","given":"Aldo","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":480934,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Horton, Robert 0000-0001-5578-3733 rhorton@usgs.gov","orcid":"https://orcid.org/0000-0001-5578-3733","contributorId":612,"corporation":false,"usgs":true,"family":"Horton","given":"Robert","email":"rhorton@usgs.gov","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":480931,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"McKenna, Jason R.","contributorId":7141,"corporation":false,"usgs":true,"family":"McKenna","given":"Jason","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":480933,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70047281,"text":"70047281 - 2011 - Carbon and nitrogen biogeochemistry of a Prairie Pothole Wetland, Stutsman County, North Dakota, USA","interactions":[],"lastModifiedDate":"2013-08-28T14:20:30","indexId":"70047281","displayToPublicDate":"2011-01-01T14:01:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":835,"text":"Applied Geochemistry","active":true,"publicationSubtype":{"id":10}},"title":"Carbon and nitrogen biogeochemistry of a Prairie Pothole Wetland, Stutsman County, North Dakota, USA","docAbstract":"The concentration and form of dissolved organic C (DOC) and N species (NH4+ and NO3-) were investigated as part of a larger hydrogeochemical study of the Cottonwood Lake Study Area within the Prairie Potholes region. Groundwater, pore water and surface wetland water data were used to help characterize the relationships between surface and groundwater with respect to nutrient dynamics. Photosynthesis and subsequent decomposition of vegetation in these hydrologically dynamic wetlands generates a large amount of dissolved C and N, although the subsurface till, derived in part from organic matter rich Pierre Shale, is a likely secondary source of nutrients in deeper groundwater. While surface water DOC concentrations ranged from 2.2 to 4.6 mM, groundwater values were 0.15 mM to 3.7 mM. Greater specific UV absorbance (SUVA254) in the wetland water column and in soil pore waters relative to groundwater indicate more reactive DOC in the surface to near-surface waters. Circumneutral wetlands had greater SUVA254, possibly because of variations in vegetation communities. The dominant inorganic nitrogen species was NH4+ in both wetland water and most ground water samples. The exceptions were 3 wells with NO3- ranging from 38 to 115 μM. Shallow groundwater wells (Well 28 and Well 13S) with greater connection to wetland surface water had greater NH4+ concentrations (1.1 mM and 120 μM) than other well samples (3–90 μM). Pore water nutrient chemistry was more similar to surface water than ground water. Nitrogen results suggest reducing conditions in both groundwater and surface water, possibly due to the microbial uptake of O2 by decaying vegetation in the wetland water column, labile organic C available in shallow groundwater, or the oxidation of pyrite associated with the subsurface.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Applied Geochemistry","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","doi":"10.1016/j.apgeochem.2011.03.025","usgsCitation":"Holloway, J.M., Goldhaber, M.B., and Mills, C., 2011, Carbon and nitrogen biogeochemistry of a Prairie Pothole Wetland, Stutsman County, North Dakota, USA: Applied Geochemistry, v. 26, supplement, p. S44-S47, https://doi.org/10.1016/j.apgeochem.2011.03.025.","productDescription":"4 p.","startPage":"S44","endPage":"S47","numberOfPages":"4","ipdsId":"IP-027306","costCenters":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":277116,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":277113,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.apgeochem.2011.03.025"}],"country":"United States","state":"North Dakota","otherGeospatial":"Stutsman County","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -99.4828,46.6294 ], [ -99.4828,47.3272 ], [ -98.4396,47.3272 ], [ -98.4396,46.6294 ], [ -99.4828,46.6294 ] ] ] } } ] }","volume":"26, supplement","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"521f1be3e4b0f8bf2b0760e1","contributors":{"authors":[{"text":"Holloway, JoAnn M. 0000-0003-3603-7668 jholloway@usgs.gov","orcid":"https://orcid.org/0000-0003-3603-7668","contributorId":918,"corporation":false,"usgs":true,"family":"Holloway","given":"JoAnn","email":"jholloway@usgs.gov","middleInitial":"M.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":481607,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Goldhaber, Martin B. 0000-0002-1785-4243 mgold@usgs.gov","orcid":"https://orcid.org/0000-0002-1785-4243","contributorId":1339,"corporation":false,"usgs":true,"family":"Goldhaber","given":"Martin","email":"mgold@usgs.gov","middleInitial":"B.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true},{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":481608,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mills, Christopher T. 0000-0001-8414-1414","orcid":"https://orcid.org/0000-0001-8414-1414","contributorId":93308,"corporation":false,"usgs":true,"family":"Mills","given":"Christopher T.","affiliations":[],"preferred":false,"id":481609,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70118812,"text":"70118812 - 2011 - Effects of climate change on nutrition and genetics of White-tailed Ptarmigan","interactions":[],"lastModifiedDate":"2018-03-28T13:52:21","indexId":"70118812","displayToPublicDate":"2011-01-01T13:41:58","publicationYear":"2011","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"seriesTitle":{"id":5103,"text":"Studies in Avian Biology","printIssn":"0197-9922","active":true,"publicationSubtype":{"id":24}},"title":"Effects of climate change on nutrition and genetics of White-tailed Ptarmigan","docAbstract":"White-tailed Ptarmigan (Lagopus leucura) are well suited as a focal species for the study of climate change because they are adapted to cool, alpine environments that are expected to undergo unusually rapid climate change. We compared samples collected in the late 1930s, the late 1960s, and the late 2000s using molecular genetic and stable isotope methods in an effort to determine whether White-tailed Ptarmigan on Mt. Evans, Colorado, have experiences recent environmental changes resulting in shifts in genetic diversity, gene frequency, and nutritional ecology. We genotyped 115 individuals spanning the three time periods, using nine polymorphic microsatellite loci in our genetic analysis. These samples were also analyzed for stable carbon and nitrogen isotopic composition. We found a slight trend of lower heterozygosity through time, and allelic richness values were significantly lower in more recent times, but not significantly using an alpha of 0.05 (P < 0.1). We found no changes in allele frequencies across time periods, suggesting that population sizes have not changed dramatically. Feather δ13C and δ15N values decreased significantly across time periods, whereas the range in isotope values increased consistently from the late 1930s to the late time periods. Inferred changes in the nutritional ecology of White-tailed Ptarmigan on Mt. Evans relate primarily to increased atmospheric deposition of nutrients that likely influenced foraging habits and tundra plant composition and nutritional quality. Future work seeks to integrate genetic and isotopic data with long-term demographics to develop a detailed understanding of the interaction among environmental stressors on the long-term viability of ptarmigan populations.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Ecology, conservation, and management of grouse (Studies in Avian Biology no. 39)","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"University of California Press","publisherLocation":"Berkeley, CA","isbn":"9780520270060","usgsCitation":"Oyler-McCance, S.J., Stricker, C.A., St. John, J., Braun, C.E., Wann, G.T., and Aldridge, C.L., 2011, Effects of climate change on nutrition and genetics of White-tailed Ptarmigan, chap. of Ecology, conservation, and management of grouse (Studies in Avian Biology no. 39): Studies in Avian Biology, v. 39, p. 283-294.","productDescription":"12 p.","startPage":"283","endPage":"294","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":291420,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":352854,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://www.ucpress.edu/book.php?isbn=9780520270060"}],"volume":"39","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57fe7fd7e4b0824b2d147964","contributors":{"editors":[{"text":"Sandercock, Brett K.","contributorId":95816,"corporation":false,"usgs":true,"family":"Sandercock","given":"Brett","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":731909,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Martin, Kathy","contributorId":13478,"corporation":false,"usgs":true,"family":"Martin","given":"Kathy","affiliations":[],"preferred":false,"id":731910,"contributorType":{"id":2,"text":"Editors"},"rank":2},{"text":"Segelbacher, Gernot","contributorId":90582,"corporation":false,"usgs":true,"family":"Segelbacher","given":"Gernot","affiliations":[],"preferred":false,"id":731911,"contributorType":{"id":2,"text":"Editors"},"rank":3}],"authors":[{"text":"Oyler-McCance, Sara J. 0000-0003-1599-8769 sara_oyler-mccance@usgs.gov","orcid":"https://orcid.org/0000-0003-1599-8769","contributorId":1973,"corporation":false,"usgs":true,"family":"Oyler-McCance","given":"Sara","email":"sara_oyler-mccance@usgs.gov","middleInitial":"J.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":497287,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stricker, Craig A. 0000-0002-5031-9437 cstricker@usgs.gov","orcid":"https://orcid.org/0000-0002-5031-9437","contributorId":1097,"corporation":false,"usgs":true,"family":"Stricker","given":"Craig","email":"cstricker@usgs.gov","middleInitial":"A.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":497286,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"St. John, Judy","contributorId":200881,"corporation":false,"usgs":false,"family":"St. John","given":"Judy","email":"","affiliations":[],"preferred":false,"id":497291,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Braun, Clait E.","contributorId":59368,"corporation":false,"usgs":true,"family":"Braun","given":"Clait","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":497290,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Wann, Gregory T.","contributorId":48492,"corporation":false,"usgs":true,"family":"Wann","given":"Gregory","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":497288,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Aldridge, Cameron L. 0000-0003-3926-6941 aldridgec@usgs.gov","orcid":"https://orcid.org/0000-0003-3926-6941","contributorId":191773,"corporation":false,"usgs":true,"family":"Aldridge","given":"Cameron","email":"aldridgec@usgs.gov","middleInitial":"L.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":false,"id":497289,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70118801,"text":"70118801 - 2011 - High throughput computing: a solution for scientific analysis","interactions":[],"lastModifiedDate":"2014-07-30T13:09:39","indexId":"70118801","displayToPublicDate":"2011-01-01T13:07:00","publicationYear":"2011","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":9,"text":"Other Report"},"title":"High throughput computing: a solution for scientific analysis","docAbstract":"Public land management agencies continually face resource management problems that are exacerbated by climate warming, land-use change, and other human activities. As the U.S. Geological Survey (USGS) Fort Collins Science Center (FORT) works with managers in U.S. Department of the Interior (DOI) agencies and other federal, state, and private entities, researchers are finding that the science needed to address these complex ecological questions across time and space produces substantial amounts of data.
\nThe additional data and the volume of computations needed to analyze it require expanded computing resources well beyond single- or even multiple-computer workstations. To meet this need for greater computational capacity, FORT investigated how to resolve the many computational shortfalls previously encountered when analyzing data for such projects. Our objectives included finding a solution that would:
\noffer an effective, centralized job-management system;\n
handle job failures due to hardware, software, or network interruptions (obviating the need to manually resubmit the job after each stoppage);
\nbe affordable; and most importantly,
\nallow us to complete very large, complex analyses that otherwise would not even be possible.
\nIn short, we envisioned a job-management system that would take advantage of unused FORT CPUs within a local area network (LAN) to effectively distribute and run highly complex analytical processes. What we found was a solution that uses High Throughput Computing (HTC) and High Performance Computing (HPC) systems to do exactly that (Figure 1).","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","usgsCitation":"O'Donnell, M., 2011, High throughput computing: a solution for scientific analysis, 1 p.","productDescription":"1 p.","numberOfPages":"1","costCenters":[],"links":[{"id":291410,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57fe7fd7e4b0824b2d14796c","contributors":{"authors":[{"text":"O'Donnell, M. 0000-0002-9089-2377","orcid":"https://orcid.org/0000-0002-9089-2377","contributorId":28542,"corporation":false,"usgs":true,"family":"O'Donnell","given":"M.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":false,"id":497254,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70043624,"text":"70043624 - 2011 - Status and distribution of mangrove forests of the world using earth observation satellite data","interactions":[],"lastModifiedDate":"2022-01-07T17:13:21.708647","indexId":"70043624","displayToPublicDate":"2011-01-01T13:05:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1839,"text":"Global Ecology and Biogeography","active":true,"publicationSubtype":{"id":10}},"title":"Status and distribution of mangrove forests of the world using earth observation satellite data","docAbstract":"Aim Our scientific understanding of the extent and distribution of mangrove forests of the world is inadequate. The available global mangrove databases, compiled using disparate geospatial data sources and national statistics, need to be improved. Here, we mapped the status and distributions of global mangroves using recently available Global Land Survey (GLS) data and the Landsat archive.\n
\n
\nMethods We interpreted approximately 1000 Landsat scenes using hybrid supervised and unsupervised digital image classification techniques. Each image was normalized for variation in solar angle and earth–sun distance by converting the digital number values to the top-of-the-atmosphere reflectance. Ground truth data and existing maps and databases were used to select training samples and also for iterative labelling. Results were validated using existing GIS data and the published literature to map ‘true mangroves’.\n
\n
\nResults The total area of mangroves in the year 2000 was 137,760 km2 in 118 countries and territories in the tropical and subtropical regions of the world. Approximately 75% of world's mangroves are found in just 15 countries, and only 6.9% are protected under the existing protected areas network (IUCN I-IV). Our study confirms earlier findings that the biogeographic distribution of mangroves is generally confined to the tropical and subtropical regions and the largest percentage of mangroves is found between 5° N and 5° S latitude.\n
\n
\nMain conclusions We report that the remaining area of mangrove forest in the world is less than previously thought. Our estimate is 12.3% smaller than the most recent estimate by the Food and Agriculture Organization (FAO) of the United Nations. We present the most comprehensive, globally consistent and highest resolution (30 m) global mangrove database ever created. We developed and used better mapping techniques and data sources and mapped mangroves with better spatial and thematic details than previous studies.","language":"English","publisher":"Wiley","doi":"10.1111/j.1466-8238.2010.00584.x","usgsCitation":"Giri, C., Ochieng, E., Tieszen, L.L., Zhu, Z., Singh, A., Loveland, T., Masek, J.G., and Duke, N., 2011, Status and distribution of mangrove forests of the world using earth observation satellite data: Global Ecology and Biogeography, v. 20, no. 1, p. 154-159, https://doi.org/10.1111/j.1466-8238.2010.00584.x.","productDescription":"6 p.","startPage":"154","endPage":"159","numberOfPages":"6","ipdsId":"IP-018403","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":275454,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"20","issue":"1","noUsgsAuthors":false,"publicationDate":"2010-08-17","publicationStatus":"PW","scienceBaseUri":"51f39a67e4b0a32220222fa7","contributors":{"authors":[{"text":"Giri, Chandra cgiri@usgs.gov","contributorId":2403,"corporation":false,"usgs":true,"family":"Giri","given":"Chandra","email":"cgiri@usgs.gov","affiliations":[{"id":595,"text":"U.S. Geological Survey","active":false,"usgs":true}],"preferred":false,"id":473992,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ochieng, E.","contributorId":94888,"corporation":false,"usgs":true,"family":"Ochieng","given":"E.","email":"","affiliations":[],"preferred":false,"id":473999,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Tieszen, Larry L. tieszen@usgs.gov","contributorId":2831,"corporation":false,"usgs":true,"family":"Tieszen","given":"Larry","email":"tieszen@usgs.gov","middleInitial":"L.","affiliations":[],"preferred":true,"id":473993,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Zhu, Zhi-Liang","contributorId":70726,"corporation":false,"usgs":true,"family":"Zhu","given":"Zhi-Liang","affiliations":[],"preferred":false,"id":473997,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Singh, Ashbindu singh@usgs.gov","contributorId":5410,"corporation":false,"usgs":true,"family":"Singh","given":"Ashbindu","email":"singh@usgs.gov","affiliations":[],"preferred":true,"id":473995,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Loveland, Thomas R. 0000-0003-3114-6646 loveland@usgs.gov","orcid":"https://orcid.org/0000-0003-3114-6646","contributorId":3005,"corporation":false,"usgs":true,"family":"Loveland","given":"Thomas R.","email":"loveland@usgs.gov","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":false,"id":473994,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Masek, Jeffery G.","contributorId":87438,"corporation":false,"usgs":true,"family":"Masek","given":"Jeffery","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":473998,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Duke, Norm","contributorId":17897,"corporation":false,"usgs":true,"family":"Duke","given":"Norm","email":"","affiliations":[],"preferred":false,"id":473996,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70118784,"text":"70118784 - 2011 - Hibernacula selection by Townsend's big-eared bat in Southwestern Colorado","interactions":[],"lastModifiedDate":"2014-07-30T11:50:25","indexId":"70118784","displayToPublicDate":"2011-01-01T11:48:52","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2508,"text":"Journal of Wildlife Management","active":true,"publicationSubtype":{"id":10}},"title":"Hibernacula selection by Townsend's big-eared bat in Southwestern Colorado","docAbstract":"In western United States, both mine reclamations and renewed mining at previously abandoned mines have increased substantially in the last decade. This increased activity may adversely impact bats that use these mines for roosting. Townsend's big-eared bat (Corynorhinus townsendii) is a species of conservation concern that may be impacted by ongoing mine reclamation and renewed mineral extraction. To help inform wildlife management decisions related to bat use of abandoned mine sites, we used logistic regression, Akaike's information criterion, and multi-model inference to investigate hibernacula use by Townsend's big-eared bats using 9 years of data from surveys inside abandoned mines in southwestern Colorado. Townsend's big-eared bats were found in 38 of 133 mines surveyed (29%), and occupied mines averaged 2.6 individuals per mine. The model explaining the most variability in our data included number of openings and portal temperature at abandoned mines. In southwestern Colorado, we found that abandoned mine sites with more than one opening and portal temperatures near 0°C were more likely to contain hibernating Townsend's big-eared bats. However, mines with only one opening and portal temperatures of ≥10°C were occasionally occupied by Townsend's big-eared bat. Understanding mine use by Townsend's big-eared bat can help guide decisions regarding allocation of resources and placement of bat-compatible closures at mine sites scheduled for reclamation. When feasible we believe that surveys should be conducted inside all abandoned mines in a reclamation project at least once during winter prior to making closure and reclamation recommendations.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Wildlife Management","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Wildlife Society","publisherLocation":"Washington, D.C.","doi":"10.1002/jwmg.6","usgsCitation":"Hayes, M.A., Schorr, R.A., and Navo, K.W., 2011, Hibernacula selection by Townsend's big-eared bat in Southwestern Colorado: Journal of Wildlife Management, v. 75, no. 1, p. 137-143, https://doi.org/10.1002/jwmg.6.","productDescription":"7 p.","startPage":"137","endPage":"143","numberOfPages":"7","costCenters":[],"links":[{"id":503723,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://zotero.org/groups/5435545/items/2MNC9DPV","text":"External Repository"},{"id":291395,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":291394,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1002/jwmg.6"}],"country":"United States","state":"Colorado","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -109.0603,36.9924 ], [ -109.0603,39.3074 ], [ -104.9962,39.3074 ], [ -104.9962,36.9924 ], [ -109.0603,36.9924 ] ] ] } } ] }","volume":"75","issue":"1","noUsgsAuthors":false,"publicationDate":"2011-01-31","publicationStatus":"PW","scienceBaseUri":"57fe7fd9e4b0824b2d14797a","contributors":{"authors":[{"text":"Hayes, Mark A. hayesm@usgs.gov","contributorId":25086,"corporation":false,"usgs":true,"family":"Hayes","given":"Mark","email":"hayesm@usgs.gov","middleInitial":"A.","affiliations":[],"preferred":false,"id":497215,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Schorr, Robert A.","contributorId":105239,"corporation":false,"usgs":true,"family":"Schorr","given":"Robert","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":497217,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Navo, Kirk W.","contributorId":89069,"corporation":false,"usgs":true,"family":"Navo","given":"Kirk","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":497216,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70154830,"text":"70154830 - 2011 - An evaluation of agreement between pectoral spines and otoliths for estimating ages of catfishes","interactions":[],"lastModifiedDate":"2015-08-21T10:32:38","indexId":"70154830","displayToPublicDate":"2011-01-01T11:30:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":718,"text":"American Fisheries Society Symposium","active":true,"publicationSubtype":{"id":10}},"title":"An evaluation of agreement between pectoral spines and otoliths for estimating ages of catfishes","docAbstract":"
Otoliths have been shown to provide more accurate ages than pectoral spine sections for several catfish populations; but sampling otoliths requires euthanizing the specimen, whereas spines can be sampled non-lethally. To evaluate whether, and under what conditions, spines provide the same or similar age estimates as otoliths, we examined data sets of individual fish aged from pectoral spines and otoliths for six blue catfish Ictalurus furcatus populations (n=420), 14 channel catfish Ictalurus punctatus populations (n=997), and 10 flathead catfish Pylodictus olivaris populations (n=947) from lotic and lentic waters throughout the central and eastern U.S. Logistic regression determined that agreement between ages estimated from otoliths and spines was consistently related to age, but inconsistently related to growth rate. When modeled at mean growth rate, we found at least 80% probability of no difference in spine- and otolith-assigned ages up to ages 4 and 5 for blue and channel catfish, respectively. For flathead catfish, an 80% probability of agreement between spine- and otolith-assigned ages did not occur at any age due to high incidence of differences in assigned ages even for age-1 fish. Logistic regression models predicted at least 80% probability that spine and otolith ages differed by ≤1 year up to ages 13, 16, and 9 for blue, channel, and flathead catfish, respectively. Age-bias assessment found mean spine-assigned age differed by less than 1 year from otolith-assigned age up to ages 19, 9, and 17 for blue catfish, channel catfish, and flathead catfish, respectively. These results can be used to help guide decisions about which structure is most appropriate for estimating catfish ages for particular populations and management objectives.
","language":"English","publisher":"American Fisheries Society","publisherLocation":"Bethesda, MD","usgsCitation":"Olive, J., Schramm, H., Gerard, P., and Irwin, E., 2011, An evaluation of agreement between pectoral spines and otoliths for estimating ages of catfishes: American Fisheries Society Symposium, v. 77, p. 679-688.","productDescription":"10 p.","startPage":"679","endPage":"688","numberOfPages":"10","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-024579","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":307109,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":307108,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.coopunits.org/Alabama/Research/Peer_Publications/2.7481231361E10/"}],"volume":"77","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"55d84baee4b0518e3546efc9","contributors":{"authors":[{"text":"Olive, J.A.","contributorId":58080,"corporation":false,"usgs":true,"family":"Olive","given":"J.A.","email":"","affiliations":[],"preferred":false,"id":569131,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Schramm, Harold Jr. hschramm@usgs.gov","contributorId":145495,"corporation":false,"usgs":true,"family":"Schramm","given":"Harold","suffix":"Jr.","email":"hschramm@usgs.gov","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":false,"id":564244,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gerard, Patrick D.","contributorId":140181,"corporation":false,"usgs":false,"family":"Gerard","given":"Patrick D.","affiliations":[{"id":7084,"text":"Clemson University","active":true,"usgs":false}],"preferred":false,"id":569132,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Irwin, E.","contributorId":95721,"corporation":false,"usgs":true,"family":"Irwin","given":"E.","email":"","affiliations":[],"preferred":false,"id":569133,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70148713,"text":"70148713 - 2011 - Life-history notes on Cambarus hubbsi creaser (Hubbs crayfish) from the South Fork Spring River, Arkansas","interactions":[],"lastModifiedDate":"2015-06-22T09:41:57","indexId":"70148713","displayToPublicDate":"2011-01-01T10:45:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3444,"text":"Southeastern Naturalist","active":true,"publicationSubtype":{"id":10}},"title":"Life-history notes on Cambarus hubbsi creaser (Hubbs crayfish) from the South Fork Spring River, Arkansas","docAbstract":"Many crayfish species native to the southeastern United States are imperiled due to small range sizes and anthropogenic impacts such as habitat loss and introduction of non-native species. Furthermore, effective management of crayfish is limited by the scarcity of life-history and ecological data for many of these species. We report results of the first life-history study of the crayfish Cambarus hubbsi (Hubbs Crayfish). We collected 466 Hubbs Crayfish from the South Fork Spring River, AR throughout 2006 and recorded carapace lengths, wet weights, indicators of reproductive activity, and number of eggs on ovigerous females. Using length-frequency distributions, we identified four Hubbs Crayfish age classes and evaluated growth rates by plotting size by season (winter, spring, summer, autumn). Male Hubbs Crayfish were more common than females in all seasons except autumn, and males weighed more at equivalent lengths than females. Reproductive activity in Hubbs Crayfish peaked in late winter and spring, and ovigerous females were collected in March, April, and June. Ovigerous females were age II or III and carried few eggs relative to co-occurring crayfish of the genus Orconectes. Compared to these Orconectes species, Hubbs Crayfish is comparatively slow growing, long lived, with low reproductive potential, and as a result may be categorized as a K life-history strategist. Based on this species' life-history strategy and previously documented habitat specificity and taxonomic distinctiveness, Hubbs Crayfish may require monitoring and management attention normally reserved for species with smaller ranges.
","language":"English","publisher":"Humboldt Field Research Institute","publisherLocation":"Steuben, ME","doi":"10.1656/058.010.0110","collaboration":"Arkansas Game and Fish Commission; University of Arkansas; USGS; Wildlife Management Institute","usgsCitation":"Larson, E., and Magoulick, D.D., 2011, Life-history notes on Cambarus hubbsi creaser (Hubbs crayfish) from the South Fork Spring River, Arkansas: Southeastern Naturalist, v. 10, no. 1, p. 121-132, https://doi.org/10.1656/058.010.0110.","productDescription":"12 p.","startPage":"121","endPage":"132","numberOfPages":"12","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-015638","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":301403,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"10","issue":"1","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"558931cfe4b0b6d21dd61bf7","contributors":{"authors":[{"text":"Larson, E.R.","contributorId":94114,"corporation":false,"usgs":true,"family":"Larson","given":"E.R.","email":"","affiliations":[],"preferred":false,"id":549104,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Magoulick, Daniel D. 0000-0001-9665-5957 danmag@usgs.gov","orcid":"https://orcid.org/0000-0001-9665-5957","contributorId":2513,"corporation":false,"usgs":true,"family":"Magoulick","given":"Daniel","email":"danmag@usgs.gov","middleInitial":"D.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":549080,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70118768,"text":"70118768 - 2011 - Sagebrush ecosystem conservation and management: Ecoregional assessment tools and models for the Wyoming Basins","interactions":[{"subject":{"id":70175150,"text":"70175150 - 2011 - Chapter 1: Study area description","indexId":"70175150","publicationYear":"2011","noYear":false,"chapter":"1","title":"Chapter 1: Study area description"},"predicate":"IS_PART_OF","object":{"id":70118768,"text":"70118768 - 2011 - Sagebrush ecosystem conservation and management: Ecoregional assessment tools and models for the Wyoming Basins","indexId":"70118768","publicationYear":"2011","noYear":false,"title":"Sagebrush ecosystem conservation and management: Ecoregional assessment tools and models for the Wyoming Basins"},"id":1},{"subject":{"id":70175156,"text":"70175156 - 2011 - Chapter 2: Sagebrush-associated species of conservation concern","indexId":"70175156","publicationYear":"2011","noYear":false,"chapter":"2","title":"Chapter 2: Sagebrush-associated species of conservation concern"},"predicate":"IS_PART_OF","object":{"id":70118768,"text":"70118768 - 2011 - Sagebrush ecosystem conservation and management: Ecoregional assessment tools and models for the Wyoming Basins","indexId":"70118768","publicationYear":"2011","noYear":false,"title":"Sagebrush ecosystem conservation and management: Ecoregional assessment tools and models for the Wyoming Basins"},"id":2},{"subject":{"id":70175157,"text":"70175157 - 2011 - Chapter 3: Changes to the Wyoming Basins landscape from oil and natural gas development","indexId":"70175157","publicationYear":"2011","noYear":false,"chapter":"3","title":"Chapter 3: Changes to the Wyoming Basins landscape from oil and natural gas development"},"predicate":"IS_PART_OF","object":{"id":70118768,"text":"70118768 - 2011 - Sagebrush ecosystem conservation and management: Ecoregional assessment tools and models for the Wyoming Basins","indexId":"70118768","publicationYear":"2011","noYear":false,"title":"Sagebrush ecosystem conservation and management: Ecoregional assessment tools and models for the Wyoming Basins"},"id":3},{"subject":{"id":70175161,"text":"70175161 - 2011 - Chapter 4: A sampling and analytical approach to develop spatial distribution models for sagebrush-associated species","indexId":"70175161","publicationYear":"2011","noYear":false,"chapter":"4","title":"Chapter 4: A sampling and analytical approach to develop spatial distribution models for sagebrush-associated species"},"predicate":"IS_PART_OF","object":{"id":70118768,"text":"70118768 - 2011 - Sagebrush ecosystem conservation and management: Ecoregional assessment tools and models for the Wyoming Basins","indexId":"70118768","publicationYear":"2011","noYear":false,"title":"Sagebrush ecosystem conservation and management: Ecoregional assessment tools and models for the Wyoming Basins"},"id":4},{"subject":{"id":70175386,"text":"70175386 - 2011 - Chapter 5: Greater sage-grouse: General use and roost site occurrence with pellet counts as a measure of relative abundance","indexId":"70175386","publicationYear":"2011","noYear":false,"chapter":"5","title":"Chapter 5: Greater sage-grouse: General use and roost site occurrence with pellet counts as a measure of relative abundance"},"predicate":"IS_PART_OF","object":{"id":70118768,"text":"70118768 - 2011 - Sagebrush ecosystem conservation and management: Ecoregional assessment tools and models for the Wyoming Basins","indexId":"70118768","publicationYear":"2011","noYear":false,"title":"Sagebrush ecosystem conservation and management: Ecoregional assessment tools and models for the Wyoming Basins"},"id":5},{"subject":{"id":70175388,"text":"70175388 - 2011 - Chapter 6: Detectability adjusted count models of songbird abundance","indexId":"70175388","publicationYear":"2011","noYear":false,"chapter":"6","title":"Chapter 6: Detectability adjusted count models of songbird abundance"},"predicate":"IS_PART_OF","object":{"id":70118768,"text":"70118768 - 2011 - Sagebrush ecosystem conservation and management: Ecoregional assessment tools and models for the Wyoming Basins","indexId":"70118768","publicationYear":"2011","noYear":false,"title":"Sagebrush ecosystem conservation and management: Ecoregional assessment tools and models for the Wyoming Basins"},"id":6},{"subject":{"id":70175389,"text":"70175389 - 2011 - Chapter 7: Occurrence and abundance of ants, reptiles, and mammals","indexId":"70175389","publicationYear":"2011","noYear":false,"chapter":"7","title":"Chapter 7: Occurrence and abundance of ants, reptiles, and mammals"},"predicate":"IS_PART_OF","object":{"id":70118768,"text":"70118768 - 2011 - Sagebrush ecosystem conservation and management: Ecoregional assessment tools and models for the Wyoming Basins","indexId":"70118768","publicationYear":"2011","noYear":false,"title":"Sagebrush ecosystem conservation and management: Ecoregional assessment tools and models for the Wyoming Basins"},"id":7},{"subject":{"id":70175392,"text":"70175392 - 2011 - Chapter 8: Occurrence of large and medium-sized mammals: Occurrence but not count models predict pronghorn distribution","indexId":"70175392","publicationYear":"2011","noYear":false,"chapter":"8","title":"Chapter 8: Occurrence of large and medium-sized mammals: Occurrence but not count models predict pronghorn distribution"},"predicate":"IS_PART_OF","object":{"id":70118768,"text":"70118768 - 2011 - Sagebrush ecosystem conservation and management: Ecoregional assessment tools and models for the Wyoming Basins","indexId":"70118768","publicationYear":"2011","noYear":false,"title":"Sagebrush ecosystem conservation and management: Ecoregional assessment tools and models for the Wyoming Basins"},"id":8},{"subject":{"id":70175491,"text":"70175491 - 2011 - Chapter 9: Occurrence of small mammals: Deer mice and challenge of trapping across large spatial extents","indexId":"70175491","publicationYear":"2011","noYear":false,"chapter":"9","title":"Chapter 9: Occurrence of small mammals: Deer mice and challenge of trapping across large spatial extents"},"predicate":"IS_PART_OF","object":{"id":70118768,"text":"70118768 - 2011 - Sagebrush ecosystem conservation and management: Ecoregional assessment tools and models for the Wyoming Basins","indexId":"70118768","publicationYear":"2011","noYear":false,"title":"Sagebrush ecosystem conservation and management: Ecoregional assessment tools and models for the Wyoming Basins"},"id":9},{"subject":{"id":70175492,"text":"70175492 - 2011 - Chapter 10: Occurrence of non-native invasive plants: The role of anthropogenic features","indexId":"70175492","publicationYear":"2011","noYear":false,"chapter":"10","title":"Chapter 10: Occurrence of non-native invasive plants: The role of anthropogenic features"},"predicate":"IS_PART_OF","object":{"id":70118768,"text":"70118768 - 2011 - Sagebrush ecosystem conservation and management: Ecoregional assessment tools and models for the Wyoming Basins","indexId":"70118768","publicationYear":"2011","noYear":false,"title":"Sagebrush ecosystem conservation and management: Ecoregional assessment tools and models for the Wyoming Basins"},"id":10},{"subject":{"id":70175493,"text":"70175493 - 2011 - Chapter 11: Management considerations","indexId":"70175493","publicationYear":"2011","noYear":false,"chapter":"11","title":"Chapter 11: Management considerations"},"predicate":"IS_PART_OF","object":{"id":70118768,"text":"70118768 - 2011 - Sagebrush ecosystem conservation and management: Ecoregional assessment tools and models for the Wyoming Basins","indexId":"70118768","publicationYear":"2011","noYear":false,"title":"Sagebrush ecosystem conservation and management: Ecoregional assessment tools and models for the Wyoming Basins"},"id":11},{"subject":{"id":70212839,"text":"70212839 - 2011 - Introduction: An ecoregional assessment of the Wyoming Basins","indexId":"70212839","publicationYear":"2011","noYear":false,"chapter":"Introduction","title":"Introduction: An ecoregional assessment of the Wyoming Basins"},"predicate":"IS_PART_OF","object":{"id":70118768,"text":"70118768 - 2011 - Sagebrush ecosystem conservation and management: Ecoregional assessment tools and models for the Wyoming Basins","indexId":"70118768","publicationYear":"2011","noYear":false,"title":"Sagebrush ecosystem conservation and management: Ecoregional assessment tools and models for the Wyoming Basins"},"id":12}],"lastModifiedDate":"2020-08-31T13:45:58.097435","indexId":"70118768","displayToPublicDate":"2011-01-01T10:13:24","publicationYear":"2011","noYear":false,"publicationType":{"id":4,"text":"Book"},"title":"Sagebrush ecosystem conservation and management: Ecoregional assessment tools and models for the Wyoming Basins","docAbstract":"The Wyoming Basins are one of the remaining strongholds of the sagebrush ecosystem. However, like most sagebrush habitats, threats to this region are numerous. This book adds to current knowledge about the regional status of the sagebrush ecosystem, the distribution of habitats, the threats to the ecosystem, and the influence of threats and habitat conditions on occurrence and abundance of sagebrush associated fauna and flora in the Wyoming Basins. Comprehensive methods are outlined for use in data collection and monitoring of wildlife and plant populations. Field and spatial data are integrated into a spatially explicit analytical framework to develop models of species occurrence and abundance for the egion. This book provides significant new information on distributions, abundances, and habitat relationships for a number of species of conservation concern that depend on sagebrush in the region. The tools and models presented in this book increase our understanding of impacts from land uses and can contribute to the development of comprehensive management and conservation strategies.
","language":"English","publisher":"Allen Press","publisherLocation":"Lawrence, KS","isbn":"978-0-615-55530-0","usgsCitation":"2011, Sagebrush ecosystem conservation and management: Ecoregional assessment tools and models for the Wyoming Basins, 409 p.","productDescription":"409 p.","numberOfPages":"409","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":378010,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/ja/70118768/70118768.pdf","linkFileType":{"id":1,"text":"pdf"},"linkHelpText":"The U.S. Geological Survey has been given express permission by the publisher to provide full-text access online for this publication, and is posted with the express permission from the Publications Warehouse Guidance Subcommittee"},{"id":291381,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Wyoming","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -111.0569,40.9947 ], [ -111.0569,45.0059 ], [ -104.0522,45.0059 ], [ -104.0522,40.9947 ], [ -111.0569,40.9947 ] ] ] } } ] }","publicComments":"The U.S. Geological Survey has been given express permission by the publisher to provide full-text access online for this publication, and is posted with the express permission from the Publications Warehouse Guidance Subcommittee","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57fe7fd9e4b0824b2d147982","contributors":{"editors":[{"text":"Hanser, Steve E. 0000-0002-4430-2073 shanser@usgs.gov","orcid":"https://orcid.org/0000-0002-4430-2073","contributorId":152523,"corporation":false,"usgs":true,"family":"Hanser","given":"Steve","email":"shanser@usgs.gov","middleInitial":"E.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true},{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true},{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true},{"id":506,"text":"Office of the AD Ecosystems","active":true,"usgs":true},{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true}],"preferred":true,"id":797619,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Leu, Matthias","contributorId":68393,"corporation":false,"usgs":true,"family":"Leu","given":"Matthias","affiliations":[],"preferred":false,"id":797620,"contributorType":{"id":2,"text":"Editors"},"rank":2},{"text":"Knick, Steven T. 0000-0003-4025-1704 steve_knick@usgs.gov","orcid":"https://orcid.org/0000-0003-4025-1704","contributorId":159,"corporation":false,"usgs":true,"family":"Knick","given":"Steven","email":"steve_knick@usgs.gov","middleInitial":"T.","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true},{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true}],"preferred":true,"id":797621,"contributorType":{"id":2,"text":"Editors"},"rank":3},{"text":"Aldridge, Cameron L. 0000-0003-3926-6941 aldridgec@usgs.gov","orcid":"https://orcid.org/0000-0003-3926-6941","contributorId":191773,"corporation":false,"usgs":true,"family":"Aldridge","given":"Cameron","email":"aldridgec@usgs.gov","middleInitial":"L.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":false,"id":797622,"contributorType":{"id":2,"text":"Editors"},"rank":4}]}} ,{"id":70006125,"text":"70006125 - 2011 - The Edwardsburg Formation and related rocks, Windermere Supergroup, central Idaho, USA","interactions":[],"lastModifiedDate":"2013-07-31T09:53:37","indexId":"70006125","displayToPublicDate":"2011-01-01T09:38:00","publicationYear":"2011","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"The Edwardsburg Formation and related rocks, Windermere Supergroup, central Idaho, USA","docAbstract":"In central Idaho, Neoproterozoic stratified rocks are engulfed by the Late Cretaceous Idaho batholith and by Eocene volcanic and plutonic rocks of the Challis event. Studied sections in the Gospel Peaks and Big Creek areas of west-central Idaho are in roof pendants of the Idaho batholith. A drill core section studied from near Challis, east-central Idaho, lies beneath the Challis Volcanic Group and is not exposed at the surface. Metamorphic and deformational overprinting, as well as widespread dismembering by the younger igneous rocks, conceals many primary details. Despite this, these rocks provide important links for regional correlations and have produced critical geochronological data for two Neoproterozoic glacial periods in the North American Cordillera.\nThe time frame for natural attenuation of crude oil contamination in the subsurface has been studied for the last 27 years at a spill site located near Bemidji, Minnesota, USA. Data from the
groundwater contaminant plume show that dissolved benzene concentrations adjacent to the oil decreased by 50% between 1993 and 2007. To assess how this decrease is related to benzene
concentrations in the crude oil, samples of oil were bailed from floating oil in five wells and analysed for volatile components. Compared to reference oil collected from the pipeline in 1984, benzene
concentrations in the well located farthest downgradient in the oil have decreased an average of 50%. Benzene and ethylbenzene depletion are linearly correlated with oil saturation in the pore space
suggesting that dissolution is the primary removal mechanism and biodegradation within the oil body is insignificant.
This review of the lignite resources of Arkansas is a part of the U.S. Geological Survey's (USGS) National Coal Resource Assessment (NCRA) of the Gulf Coastal Plain Coal Province, which also includes coal-bearing areas in the states of Texas, Louisiana, Alabama, Mississippi, Tennessee, and Kentucky (see Ruppert et al., 2002; Dennen, 2009; and other chapters of this publication). Lignite mining is not planned in Arkansas in the immediate future, and the lignite resources of the state were not assessed in detail as part of the NCRA. This chapter includes reviews of the geology of the lignite-bearing units, historical mining, previous investigations of lignite resources, and coal quality. Palynological data for lignite samples collected in Arkansas as part of this work are presented in Table 1.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Geologic assessment of coal in the Gulf of Mexico coastal plain: AAPG Studies in Geology vol. 62","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"American Association of Petroleum Geologists","usgsCitation":"Hackley, P.C., Willett, J.C., Warwick, P.D., Law, S., and Nichols, D.J., 2011, A review of the lignite resources of Arkansas, chap. 17 of Geologic assessment of coal in the Gulf of Mexico coastal plain: AAPG Studies in Geology vol. 62: AAPG Studies in Geology, v. 62, p. 313-325.","productDescription":"13 p.","startPage":"313","endPage":"325","ipdsId":"IP-020070","costCenters":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":332108,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":350893,"rank":2,"type":{"id":15,"text":"Index 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