A combination of satellite and airborne high-resolution visible and thermal infrared (TIR) image data detected and measured changes at Redoubt Volcano during the 2008–2009 unrest and eruption. The TIR sensors detected persistent elevated temperatures at summit ice-melt holes as seismicity and gas emissions increased in late 2008 to March 2009. A phreatic explosion on 15 March was followed by more than 19 magmatic explosive events from 23 March to 4 April that produced high-altitude ash clouds and large lahars. Two (or three) lava domes extruded and were destroyed between 23 March and 4 April. After 4 April, the eruption extruded a large lava dome that continued to grow until at least early July 2009.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.jvolgeores.2012.04.014","usgsCitation":"Wessels, R.L., Vaughan, R., Patrick, M.R., and Coombs, M.L., 2013, High-resolution satellite and airborne thermal infrared imaging of precursory unrest and 2009 eruption of Redoubt Volcano, Alaska: Journal of Volcanology and Geothermal Research, v. 259, p. 248-269, https://doi.org/10.1016/j.jvolgeores.2012.04.014.","productDescription":"22 p.","startPage":"248","endPage":"269","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-038414","costCenters":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":306845,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Redoubt Volcano","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -153.204345703125,\n 60.215262157101755\n ],\n [\n -153.204345703125,\n 60.62740755352885\n ],\n [\n -152.22930908203125,\n 60.62740755352885\n ],\n [\n -152.22930908203125,\n 60.215262157101755\n ],\n [\n -153.204345703125,\n 60.215262157101755\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"259","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"55d45731e4b0518e354694cb","contributors":{"authors":[{"text":"Wessels, Rick L. rwessels@usgs.gov","contributorId":566,"corporation":false,"usgs":true,"family":"Wessels","given":"Rick","email":"rwessels@usgs.gov","middleInitial":"L.","affiliations":[{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":false,"id":564504,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Vaughan, R. Greg gvaughan@usgs.gov","contributorId":2711,"corporation":false,"usgs":true,"family":"Vaughan","given":"R. Greg","email":"gvaughan@usgs.gov","affiliations":[],"preferred":false,"id":564501,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"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":564503,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Coombs, Michelle L. 0000-0002-6002-6806 mcoombs@usgs.gov","orcid":"https://orcid.org/0000-0002-6002-6806","contributorId":2809,"corporation":false,"usgs":true,"family":"Coombs","given":"Michelle","email":"mcoombs@usgs.gov","middleInitial":"L.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":564502,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70043261,"text":"70043261 - 2013 - Greater sage-grouse winter habitat use on the eastern edge of their range","interactions":[],"lastModifiedDate":"2013-06-01T15:49:08","indexId":"70043261","displayToPublicDate":"2013-06-01T00:00:00","publicationYear":"2013","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":"Greater sage-grouse winter habitat use on the eastern edge of their range","docAbstract":"Greater sage-grouse (Centrocercus urophasianus) at the western edge of the Dakotas occur in the transition zone between sagebrush and grassland communities. These mixed sagebrush (Artemisia sp.) and grasslands differ from those habitats that comprise the central portions of the sage-grouse range; yet, no information is available on winter habitat selection within this region of their distribution. We evaluated factors influencing greater sage-grouse winter habitat use in North Dakota during 2005–2006 and 2006–2007 and in South Dakota during 2006–2007 and 2007–2008. We captured and radio-marked 97 breeding-age females and 54 breeding-age males from 2005 to 2007 and quantified habitat selection for 98 of these birds that were alive during winter. We collected habitat measurements at 340 (177 ND, 163 SD) sage-grouse use sites and 680 random (340 each at 250 m and 500 m from locations) dependent sites. Use sites differed from random sites with greater percent sagebrush cover (14.75% use vs. 7.29% random; P < 0.001), percent total vegetation cover (36.76% use vs. 32.96% random; P ≤ 0.001), and sagebrush density (2.12 plants/m2 use vs. 0.94 plants/m2 random; P ≤ 0.001), but lesser percent grass cover (11.76% use vs. 16.01% random; P ≤ 0.001) and litter cover (4.34% use vs. 5.55% random; P = 0.001) and lower sagebrush height (20.02 cm use vs. 21.35 cm random; P = 0.13) and grass height (21.47 cm use vs. 23.21 cm random; P = 0.15). We used conditional logistic regression to estimate winter habitat selection by sage-grouse on continuous scales. The model sagebrush cover + sagebrush height + sagebrush cover × sagebrush height (wi = 0.60) was the most supported of the 13 models we considered, indicating that percent sagebrush cover strongly influenced selection. Logistic odds ratios indicated that the probability of selection by sage-grouse increased by 1.867 for every 1% increase in sagebrush cover (95% CI = 1.627–2.141) and by 1.041 for every 1 cm increase in sagebrush height (95% CI = 1.002–1.082). The interaction between percent sagebrush canopy cover and sagebrush height (β = −0.01, SE ≤ 0.01; odds ratio = 0.987 [95% CI = 0.983–0.992]) also was significant. Management could focus on avoiding additional loss of sagebrush habitat, identifying areas of critical winter habitat, and implementing management actions based on causal mechanisms (e.g., soil moisture, precipitation) that affect sagebrush community structure in this region.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Wildlife Management","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Wiley","doi":"10.1002/jwmg.484","usgsCitation":"Swanson, C., Rumble, M.A., Grovenburg, T.W., Kaczor, N., Klaver, R.W., Herman-Brunson, K.M., Jenks, J., and Jensen, K.C., 2013, Greater sage-grouse winter habitat use on the eastern edge of their range: Journal of Wildlife Management, v. 77, no. 3, p. 486-494, https://doi.org/10.1002/jwmg.484.","productDescription":"9 p.","startPage":"486","endPage":"494","ipdsId":"IP-031542","costCenters":[{"id":350,"text":"Iowa Cooperative Fish and Wildlife Research Unit","active":false,"usgs":true}],"links":[{"id":473798,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://lib.dr.iastate.edu/nrem_pubs/211","text":"External Repository"},{"id":273068,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":273067,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1002/jwmg.484"}],"volume":"77","issue":"3","noUsgsAuthors":false,"publicationDate":"2012-12-11","publicationStatus":"PW","scienceBaseUri":"51ab09e7e4b038e354702134","contributors":{"authors":[{"text":"Swanson, Christopher C.","contributorId":58505,"corporation":false,"usgs":true,"family":"Swanson","given":"Christopher C.","affiliations":[],"preferred":false,"id":473254,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rumble, Mark A.","contributorId":84615,"corporation":false,"usgs":true,"family":"Rumble","given":"Mark","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":473257,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Grovenburg, Troy W.","contributorId":57712,"corporation":false,"usgs":true,"family":"Grovenburg","given":"Troy","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":473253,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kaczor, Nicholas W.","contributorId":43217,"corporation":false,"usgs":true,"family":"Kaczor","given":"Nicholas W.","affiliations":[],"preferred":false,"id":473251,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Klaver, Robert W. 0000-0002-3263-9701 bklaver@usgs.gov","orcid":"https://orcid.org/0000-0002-3263-9701","contributorId":3285,"corporation":false,"usgs":true,"family":"Klaver","given":"Robert","email":"bklaver@usgs.gov","middleInitial":"W.","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true},{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":473250,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Herman-Brunson, Katie M.","contributorId":66109,"corporation":false,"usgs":true,"family":"Herman-Brunson","given":"Katie","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":473255,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Jenks, Jonathan A.","contributorId":51591,"corporation":false,"usgs":true,"family":"Jenks","given":"Jonathan A.","affiliations":[],"preferred":false,"id":473252,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Jensen, Kent C.","contributorId":66530,"corporation":false,"usgs":false,"family":"Jensen","given":"Kent","email":"","middleInitial":"C.","affiliations":[{"id":16687,"text":"Department of Natural Resource Management, South Dakota State University, Brookings, SD","active":true,"usgs":false}],"preferred":false,"id":473256,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70193572,"text":"70193572 - 2013 - Injection, transport, and deposition of tephra during event 5 at Redoubt Volcano, 23 March, 2009","interactions":[],"lastModifiedDate":"2017-11-02T16:44:38","indexId":"70193572","displayToPublicDate":"2013-06-01T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2499,"text":"Journal of Volcanology and Geothermal Research","active":true,"publicationSubtype":{"id":10}},"title":"Injection, transport, and deposition of tephra during event 5 at Redoubt Volcano, 23 March, 2009","docAbstract":"Among the events of the 2009 eruption at Redoubt Volcano, Alaska, event 5 was the best documented by radar, satellite imagery, and deposit mapping. We use the new Eulerian tephra transport model Ash3d to simulate transport and deposition of event 5 tephra at distances up to 350 km. The eruption, which started at about 1230 UTC on 23 March, 2009, sent a plume from the vent elevation (estimated at 2.3 ± 0.1 km above sea level or a.s.l.) to about 16 ± 2 km above sea level in 5 min. The plume was a few kilometers higher than would be expected for the estimated average mass eruption rate and atmospheric conditions, possibly due to release of most of the eruptive mass in the first half of the 20-minute event. The eruption injected tephra into a wind field of high shear, with weak easterly winds below ~ 3 km elevation, strong southerly winds at 6–10 km and weak westerlies above ~ 16 km. Model simulations in this wind field predicted development of a northward-migrating inverted “v”-shaped cloud with a southwest-trending arm at a few kilometers elevation, which was not visible in IR satellite images due to cloud cover, and a southeast-trending arm at > 10 km elevation that was clearly visible. Simulations also predicted a deposit distribution that strongly depended on plume height: a plume height below 15 km predicted ash deposits that were located west of those mapped, whereas good agreement was reached with a modeled plume height of 15–18 km. Field sampling of the deposit found it to contain abundant tephra aggregates, which accelerated the removal of tephra from the atmosphere. We were able to reasonably approximate the effect of aggregation on the deposit mass distribution by two methods: (1) adjusting the grain-size distribution, taking the erupted mass < = 0.063 mm in diameter and distributing it evenly into bins of coarser size; and (2) moving 80–90% of the mass < = 0.063 mm into a single particle bin ranging in size from 0.25 to 1 mm. These methods produced an area inside the 100 g m− 2 isomass lines that was within a few tens of percent of mapped area; however they under-predicted deposit mass at very proximal (< 50 km) and very distal (> 250 km) locations. Modeled grain-size distributions at sample locations are also generally coarser than observed. The mismatch may result from a combination of limitations in field sampling, approximations inherent in the model, errors in the numerical wind field, and aggregation of particles larger than 0.063 mm.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.jvolgeores.2012.04.025","usgsCitation":"Mastin, L.G., Schwaiger, H.F., Schneider, D.J., Wallace, K.L., Schaefer, J., and Denlinger, R.P., 2013, Injection, transport, and deposition of tephra during event 5 at Redoubt Volcano, 23 March, 2009: Journal of Volcanology and Geothermal Research, v. 259, p. 201-213, https://doi.org/10.1016/j.jvolgeores.2012.04.025.","productDescription":"13 p.","startPage":"201","endPage":"213","ipdsId":"IP-037047","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":348150,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Redoubt Volcano","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -152.96951293945312,\n 60.38604094380978\n ],\n [\n -152.55203247070312,\n 60.38604094380978\n ],\n [\n -152.55203247070312,\n 60.58696734225869\n ],\n [\n -152.96951293945312,\n 60.58696734225869\n ],\n [\n -152.96951293945312,\n 60.38604094380978\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"259","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59fc2eade4b0531197b27fd4","contributors":{"authors":[{"text":"Mastin, Larry G. 0000-0002-4795-1992 lgmastin@usgs.gov","orcid":"https://orcid.org/0000-0002-4795-1992","contributorId":555,"corporation":false,"usgs":true,"family":"Mastin","given":"Larry","email":"lgmastin@usgs.gov","middleInitial":"G.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":719405,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Schwaiger, Hans F. 0000-0001-7397-8833 hschwaiger@usgs.gov","orcid":"https://orcid.org/0000-0001-7397-8833","contributorId":4108,"corporation":false,"usgs":true,"family":"Schwaiger","given":"Hans","email":"hschwaiger@usgs.gov","middleInitial":"F.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":719403,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Schneider, David J. 0000-0001-9092-1054 djschneider@usgs.gov","orcid":"https://orcid.org/0000-0001-9092-1054","contributorId":198601,"corporation":false,"usgs":true,"family":"Schneider","given":"David","email":"djschneider@usgs.gov","middleInitial":"J.","affiliations":[],"preferred":true,"id":719402,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wallace, Kristi L. 0000-0002-0962-048X kwallace@usgs.gov","orcid":"https://orcid.org/0000-0002-0962-048X","contributorId":3454,"corporation":false,"usgs":true,"family":"Wallace","given":"Kristi","email":"kwallace@usgs.gov","middleInitial":"L.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":719404,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Schaefer, Janet","contributorId":199547,"corporation":false,"usgs":false,"family":"Schaefer","given":"Janet","affiliations":[],"preferred":false,"id":719407,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Denlinger, Roger P. 0000-0003-0930-0635 roger@usgs.gov","orcid":"https://orcid.org/0000-0003-0930-0635","contributorId":2679,"corporation":false,"usgs":true,"family":"Denlinger","given":"Roger","email":"roger@usgs.gov","middleInitial":"P.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true},{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true}],"preferred":true,"id":719406,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70182172,"text":"70182172 - 2013 - Emissions of carbon dioxide and methane from a headwater stream network of interior Alaska","interactions":[],"lastModifiedDate":"2017-02-20T12:00:32","indexId":"70182172","displayToPublicDate":"2013-06-01T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2319,"text":"Journal of Geophysical Research G: Biogeosciences","active":true,"publicationSubtype":{"id":10}},"title":"Emissions of carbon dioxide and methane from a headwater stream network of interior Alaska","docAbstract":"Boreal ecosystems store significant quantities of organic carbon (C) that may be vulnerable to degradation as a result of a warming climate. Despite their limited coverage on the landscape, streams play a significant role in the processing, gaseous emission, and downstream export of C, and small streams are thought to be particularly important because of their close connection with the surrounding landscape. However, ecosystem carbon studies do not commonly incorporate the role of the aquatic conduit. We measured carbon dioxide (CO2) and methane (CH4) concentrations and emissions in a headwater stream network of interior Alaska underlain by permafrost to assess the potential role of stream gas emissions in the regional carbon balance. First-order streams exhibited the greatest variability in fluxes of CO2 and CH4,and the greatest mean pCO2. High-resolution time series of stream pCO2 and discharge at two locations on one first-order stream showed opposing pCO2 responses to storm events, indicating the importance of hydrologic flowpaths connecting CO2-rich soils with surface waters. Repeated longitudinal surveys on the stream showed consistent areas of elevated pCO2 and pCH4, indicative of discrete hydrologic flowpaths delivering soil water and groundwater having varying chemistry. Up-scaled basin estimates of stream gas emissions suggest that streams may contribute significantly to catchment-wide CH4 emissions. Overall, our results indicate that while stream-specific gas emission rates are disproportionately high relative to the terrestrial landscape, both stream surface area and catchment normalized emission rates were lower than those documented for the Yukon River Basin as a whole. This may be due to limitations of C sources and/or C transport to surface waters.
","language":"English","publisher":"AGU Publications","doi":"10.1002/jgrg.20034","usgsCitation":"Crawford, J.T., Striegl, R.G., Wickland, K.P., Dornblaser, M.M., and Stanley, E.H., 2013, Emissions of carbon dioxide and methane from a headwater stream network of interior Alaska: Journal of Geophysical Research G: Biogeosciences, v. 118, no. 2, p. 482-494, https://doi.org/10.1002/jgrg.20034.","productDescription":"13 p.","startPage":"482","endPage":"494","ipdsId":"IP-038788","costCenters":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"links":[{"id":473795,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/jgrg.20034","text":"Publisher Index Page"},{"id":335837,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"118","issue":"2","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2013-04-11","publicationStatus":"PW","scienceBaseUri":"58ac0e31e4b0ce4410e7d608","contributors":{"authors":[{"text":"Crawford, John T. 0000-0003-4440-6945 jtcrawford@usgs.gov","orcid":"https://orcid.org/0000-0003-4440-6945","contributorId":4081,"corporation":false,"usgs":true,"family":"Crawford","given":"John","email":"jtcrawford@usgs.gov","middleInitial":"T.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":669865,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Striegl, Robert G. 0000-0002-8251-4659 rstriegl@usgs.gov","orcid":"https://orcid.org/0000-0002-8251-4659","contributorId":1630,"corporation":false,"usgs":true,"family":"Striegl","given":"Robert","email":"rstriegl@usgs.gov","middleInitial":"G.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":36183,"text":"Hydro-Ecological Interactions Branch","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":false,"id":669868,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wickland, Kimberly P. 0000-0002-6400-0590 kpwick@usgs.gov","orcid":"https://orcid.org/0000-0002-6400-0590","contributorId":1835,"corporation":false,"usgs":true,"family":"Wickland","given":"Kimberly","email":"kpwick@usgs.gov","middleInitial":"P.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":36183,"text":"Hydro-Ecological Interactions Branch","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":669866,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Dornblaser, Mark M. 0000-0002-6298-3757 mmdornbl@usgs.gov","orcid":"https://orcid.org/0000-0002-6298-3757","contributorId":1636,"corporation":false,"usgs":true,"family":"Dornblaser","given":"Mark","email":"mmdornbl@usgs.gov","middleInitial":"M.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":669867,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Stanley, Emily H.","contributorId":55725,"corporation":false,"usgs":false,"family":"Stanley","given":"Emily","email":"","middleInitial":"H.","affiliations":[{"id":12951,"text":"Center for Limnology, University of Wisconsin Madison","active":true,"usgs":false}],"preferred":false,"id":669869,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}} ,{"id":70148609,"text":"70148609 - 2013 - Desert fires fueled by native annual forbs: effects of fire on communities of plants and birds in the lower Sonoran Desert of Arizona","interactions":[],"lastModifiedDate":"2017-11-25T13:35:58","indexId":"70148609","displayToPublicDate":"2013-06-01T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3451,"text":"Southwestern Naturalist","active":true,"publicationSubtype":{"id":10}},"title":"Desert fires fueled by native annual forbs: effects of fire on communities of plants and birds in the lower Sonoran Desert of Arizona","docAbstract":"In 2005, fire ignited by humans swept from Yuma Proving Grounds into Kofa National Wildlife Refuge, Arizona, burning ca. 9,255 ha of Wilderness Area. Fuels were predominantly the native forb Plantago ovata. Large fires at low elevations were rare in the 19th and 20th centuries, and fires fueled by native vegetation are undocumented in the southwestern deserts. We estimated the area damaged by fire using Moderate Resolution Imaging Spectroradiometer and Normalized Difference Vegetation Index, which are more accurate and reduce subjectivity of aerial surveys of perimeters of fires. Assemblages of upland and xeroriparian plants lost 91 and 81% of live cover, respectively, in fires. The trees Olneya tesota and Cercidium had high amounts of top-kill. King Valley was an important xeroriparian corridor for birds. Species richness of birds decreased significantly following the fire. Numbers of breeding birds were lower in burned areas of King Valley 3 years post-fire, compared to numbers in nearby but unburned Alamo Wash. Although birds function within a large geographic scale, the extent of this burn still influenced the relative abundance of local species of breeding birds. This suggests that breeding birds respond to conditions of localized burns and slow recovery of vegetation contributes to continued lower numbers of birds in the burned sites in King Valley.
","language":"English","publisher":"Southwestern Association of Naturalists","doi":"10.1894/0038-4909-58.2.223","usgsCitation":"Esque, T., Webb, R.H., Wallace, C., van Riper, C., McCreedy, C., and Smythe, L.A., 2013, Desert fires fueled by native annual forbs: effects of fire on communities of plants and birds in the lower Sonoran Desert of Arizona: Southwestern Naturalist, v. 58, no. 2, p. 223-233, https://doi.org/10.1894/0038-4909-58.2.223.","productDescription":"11 p.","startPage":"223","endPage":"233","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-013310","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":302568,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arizona","otherGeospatial":"King Valley, Kofa National Wildlife Refuge","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -114.23309326171875,\n 32.909568110575655\n ],\n [\n -114.23309326171875,\n 33.38329288020202\n ],\n [\n -113.61236572265624,\n 33.38329288020202\n ],\n [\n -113.61236572265624,\n 32.909568110575655\n ],\n [\n -114.23309326171875,\n 32.909568110575655\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"58","issue":"2","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"558e77b2e4b0b6d21dd65944","contributors":{"authors":[{"text":"Esque, Todd C. tesque@usgs.gov","contributorId":140024,"corporation":false,"usgs":true,"family":"Esque","given":"Todd C.","email":"tesque@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":false,"id":548873,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Webb, Robert H. rhwebb@usgs.gov","contributorId":141216,"corporation":false,"usgs":true,"family":"Webb","given":"Robert","email":"rhwebb@usgs.gov","middleInitial":"H.","affiliations":[],"preferred":false,"id":548872,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wallace, Cynthia S.A. cwallace@usgs.gov","contributorId":139089,"corporation":false,"usgs":true,"family":"Wallace","given":"Cynthia S.A.","email":"cwallace@usgs.gov","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":false,"id":548874,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"van Riper, Charles III 0000-0003-1084-5843 charles_van_riper@usgs.gov","orcid":"https://orcid.org/0000-0003-1084-5843","contributorId":169488,"corporation":false,"usgs":true,"family":"van Riper","given":"Charles","suffix":"III","email":"charles_van_riper@usgs.gov","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":false,"id":548871,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"McCreedy, Chris","contributorId":141217,"corporation":false,"usgs":false,"family":"McCreedy","given":"Chris","email":"","affiliations":[{"id":6624,"text":"University of Arizona, Laboratory of Tree-Ring Research","active":true,"usgs":false}],"preferred":false,"id":548875,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Smythe, Lindsay A.","contributorId":141218,"corporation":false,"usgs":false,"family":"Smythe","given":"Lindsay","email":"","middleInitial":"A.","affiliations":[{"id":6661,"text":"US Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":548876,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70039999,"text":"70039999 - 2013 - Demography and movement patterns of leopard sharks (Triakis semifasciata) aggregating near the head of a submarine canyon along the open coast of southern California, USA","interactions":[],"lastModifiedDate":"2013-06-03T08:39:28","indexId":"70039999","displayToPublicDate":"2013-06-01T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1528,"text":"Environmental Biology of Fishes","active":true,"publicationSubtype":{"id":10}},"title":"Demography and movement patterns of leopard sharks (Triakis semifasciata) aggregating near the head of a submarine canyon along the open coast of southern California, USA","docAbstract":"The demography, spatial distribution, and movement patterns of leopard sharks (Triakis semifasciata) aggregating near the head of a submarine canyon in La Jolla, California, USA, were investigated to resolve the causal explanations for this and similar shark aggregations. All sharks sampled from the aggregation site (n=140) were sexually mature and 97.1 % were female. Aerial photographs taken during tethered balloon surveys revealed high densities of milling sharks of up to 5470 sharks ha-1. Eight sharks were each tagged with a continuous acoustic transmitter and manually tracked without interruption for up to 48 h. Sharks exhibited strong site-fidelity and were generally confined to a divergence (shadow) zone of low wave energy, which results from wave refraction over the steep bathymetric contours of the submarine canyon. Within this divergence zone, the movements of sharks were strongly localized over the seismically active Rose Canyon Fault. Tracked sharks spent most of their time in shallow water (≤2 m for 71.0 % and ≤10 m for 95.9 % of time), with some dispersing to deeper (max: 53.9 m) and cooler (min: 12.7 °C) water after sunset, subsequently returning by sunrise. These findings suggest multiple functions of this aggregation and that the mechanism controlling its formation, maintenance, and dissolution is complex and rooted in the sharks' variable response to numerous confounding environmental factors.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Environmental Biology of Fishes","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Springer","publisherLocation":"Amsterdam, Netherlands","doi":"10.1007/s10641-012-0083-5","usgsCitation":"Nosal, D., Cartamil, D., Long, J., Luhrmann, M., Wegner, N., and Graham, J., 2013, Demography and movement patterns of leopard sharks (Triakis semifasciata) aggregating near the head of a submarine canyon along the open coast of southern California, USA: Environmental Biology of Fishes, v. 96, no. 7, p. 865-878, https://doi.org/10.1007/s10641-012-0083-5.","productDescription":"14 p.","startPage":"865","endPage":"878","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":262441,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s10641-012-0083-5","linkFileType":{"id":5,"text":"html"}},{"id":262447,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","county":"San Diego","otherGeospatial":"La Jolla Shores Beach","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -117.28,32.85 ], [ -117.28,32.88 ], [ -117.25,32.88 ], [ -117.25,32.85 ], [ -117.28,32.85 ] ] ] } } ] }","volume":"96","issue":"7","noUsgsAuthors":false,"publicationDate":"2012-09-21","publicationStatus":"PW","scienceBaseUri":"50788c7fe4b0cfc2d59f5a30","contributors":{"authors":[{"text":"Nosal, D.C.","contributorId":63662,"corporation":false,"usgs":true,"family":"Nosal","given":"D.C.","email":"","affiliations":[],"preferred":false,"id":467414,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cartamil, D.C.","contributorId":95319,"corporation":false,"usgs":true,"family":"Cartamil","given":"D.C.","email":"","affiliations":[],"preferred":false,"id":467416,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Long, J.W.","contributorId":102733,"corporation":false,"usgs":true,"family":"Long","given":"J.W.","email":"","affiliations":[],"preferred":false,"id":467417,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Luhrmann, M.","contributorId":54059,"corporation":false,"usgs":true,"family":"Luhrmann","given":"M.","email":"","affiliations":[],"preferred":false,"id":467413,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Wegner, N.C.","contributorId":71045,"corporation":false,"usgs":true,"family":"Wegner","given":"N.C.","email":"","affiliations":[],"preferred":false,"id":467415,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Graham, J.B.","contributorId":13308,"corporation":false,"usgs":true,"family":"Graham","given":"J.B.","email":"","affiliations":[],"preferred":false,"id":467412,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70046340,"text":"70046340 - 2013 - Hydrogeomorphology explains acidification-driven variation in aquatic biological communities in the Neversink Basin, USA","interactions":[],"lastModifiedDate":"2013-06-11T15:25:08","indexId":"70046340","displayToPublicDate":"2013-06-01T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1450,"text":"Ecological Applications","active":true,"publicationSubtype":{"id":10}},"title":"Hydrogeomorphology explains acidification-driven variation in aquatic biological communities in the Neversink Basin, USA","docAbstract":"Describing the distribution of aquatic habitats and the health of biological communities can be costly and time-consuming; therefore, simple, inexpensive methods to scale observations of aquatic biota to watersheds that lack data would be useful. In this study, we explored the potential of a simple “hydrogeomorphic” model to predict the effects of acid deposition on macroinvertebrate, fish, and diatom communities in 28 sub-watersheds of the 176-km2 Neversink River basin in the Catskill Mountains of New York State. The empirical model was originally developed to predict stream-water acid neutralizing capacity (ANC) using the watershed slope and drainage density. Because ANC is known to be strongly related to aquatic biological communities in the Neversink, we speculated that the model might correlate well with biotic indicators of ANC response. The hydrogeomorphic model was strongly correlated to several measures of macroinvertebrate and fish community richness and density, but less strongly correlated to diatom acid tolerance. The model was also strongly correlated to biological communities in 18 sub-watersheds independent of the model development, with the linear correlation capturing the strongly acidic nature of small upland watersheds (<1 km2). Overall, we demonstrated the applicability of geospatial data sets and a simple hydrogeomorphic model for estimating aquatic biological communities in areas with stream-water acidification, allowing estimates where no direct field observations are available. Similar modeling approaches have the potential to complement or refine expensive and time-consuming measurements of aquatic biota populations and to aid in regional assessments of aquatic health.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Ecological Applications","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Ecological Society of America","doi":"10.1890/12-0603.1","usgsCitation":"Harpold, A.A., Burns, D.A., Walter, M., and Steenhuis, T.S., 2013, Hydrogeomorphology explains acidification-driven variation in aquatic biological communities in the Neversink Basin, USA: Ecological Applications, v. 23, no. 4, p. 791-800, https://doi.org/10.1890/12-0603.1.","productDescription":"10 p.","startPage":"791","endPage":"800","ipdsId":"IP-034694","costCenters":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"links":[{"id":273616,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":273615,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1890/12-0603.1"}],"country":"United States","state":"New York","otherGeospatial":"Catskill Mountains;Neversink Basin","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -75.45,41.76 ], [ -75.45,42.75 ], [ -73.84,42.75 ], [ -73.84,41.76 ], [ -75.45,41.76 ] ] ] } } ] }","volume":"23","issue":"4","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51b846e8e4b03203c522b1e2","contributors":{"authors":[{"text":"Harpold, Adrian A.","contributorId":80572,"corporation":false,"usgs":true,"family":"Harpold","given":"Adrian","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":479511,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Burns, Douglas A. 0000-0001-6516-2869 daburns@usgs.gov","orcid":"https://orcid.org/0000-0001-6516-2869","contributorId":1237,"corporation":false,"usgs":true,"family":"Burns","given":"Douglas","email":"daburns@usgs.gov","middleInitial":"A.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":479509,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Walter, M.","contributorId":80899,"corporation":false,"usgs":false,"family":"Walter","given":"M.","email":"","affiliations":[{"id":47618,"text":"Retired Calpine","active":true,"usgs":false}],"preferred":false,"id":479512,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Steenhuis, Tammo S.","contributorId":7985,"corporation":false,"usgs":true,"family":"Steenhuis","given":"Tammo","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":479510,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70046560,"text":"70046560 - 2013 - Tracing groundwater with low-level detections of halogenated VOCs in a fractured carbonate-rock aquifer, Leetown Science Center, West Virginia, USA","interactions":[],"lastModifiedDate":"2018-03-21T15:11:56","indexId":"70046560","displayToPublicDate":"2013-06-01T00:00:00","publicationYear":"2013","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":"Tracing groundwater with low-level detections of halogenated VOCs in a fractured carbonate-rock aquifer, Leetown Science Center, West Virginia, USA","docAbstract":"Measurements of low-level concentrations of halogenated volatile organic compounds (VOCs) and estimates of groundwater age interpreted from 3H/3He and SF6 data have led to an improved understanding of groundwater flow, water sources, and transit times in a karstic, fractured, carbonate-rock aquifer at the Leetown Science Center (LSC), West Virginia. The sum of the concentrations of a set of 16 predominant halogenated VOCs (TDVOC) determined by gas chromatography with electron-capture detector (GC–ECD) exceeded that possible for air–water equilibrium in 34 of the 47 samples (median TDVOC of 24,800 pg kg−1), indicating that nearly all the water sampled in the vicinity of the LSC has been affected by addition of halogenated VOCs from non-atmospheric source(s). Leakage from a landfill that was closed and sealed nearly 20 a prior to sampling was recognized and traced to areas east of the LSC using low-level detection of tetrachloroethene (PCE), methyl chloride (MeCl), methyl chloroform (MC), dichlorodifluoromethane (CFC-12), and cis-1,2-dichloroethene (cis-1,2-DCE). Chloroform (CHLF) was the predominant VOC in water from domestic wells surrounding the LSC, and was elevated in groundwater in and near the Fish Health Laboratory at the LSC, where a leak of chlorinated water occurred prior to 2006. The low-level concentrations of halogenated VOCs did not exceed human or aquatic-life health criteria, and were useful in providing an awareness of the intrinsic susceptibility of the fractured karstic groundwater system at the LSC to non-atmospheric anthropogenic inputs. The 3H/3He groundwater ages of spring discharge from the carbonate rocks showed transient behavior, with ages averaging about 2 a in 2004 following a wet climatic period (2003–2004), and ages in the range of 4–7 a in periods of more average precipitation (2008–2009). The SF6 and CFC-12 data indicate older water (model ages of 10s of years or more) in the low-permeability shale of the Martinsburg Formation located to the west of the LSC. A two-a record of specific conductance, water temperature, and discharge recorded at 30-min intervals demonstrated an approximately 3-month lag in discharge at Gray Spring. The low groundwater ages of waters from the carbonate rocks support rapid advective transport of contaminants from the LSC vicinity, yet the nearly ubiquitous occurrence of low-level concentrations of halogenated VOCs at the LSC suggests the presence of long-term persistent sources, such as seepage from the closed and sealed landfill, infiltration of VOCs that may persist locally in the epikarst, exchange with low-permeability zones in fractured rock, and upward leakage of older water that may contain elevated concentrations of halogenated VOCs from earlier land use activities.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Applied Geochemistry","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","doi":"10.1016/j.apgeochem.2013.02.021","usgsCitation":"Plummer, N., Sibrell, P.L., Casile, G.C., Busenberg, E., Hunt, A.G., and Schlosser, P., 2013, Tracing groundwater with low-level detections of halogenated VOCs in a fractured carbonate-rock aquifer, Leetown Science Center, West Virginia, USA: Applied Geochemistry, v. 33, p. 260-280, https://doi.org/10.1016/j.apgeochem.2013.02.021.","productDescription":"21 p.","startPage":"260","endPage":"280","ipdsId":"IP-044434","costCenters":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"links":[{"id":273990,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":273979,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.apgeochem.2013.02.021"}],"country":"United States","state":"West Virginia","county":"Jefferson","otherGeospatial":"Leetown Science Center","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -78.03,39.13 ], [ -78.03,39.45 ], [ -77.71,39.45 ], [ -77.71,39.13 ], [ -78.03,39.13 ] ] ] } } ] }","volume":"33","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51c1816ee4b0dd0e00d9221d","contributors":{"authors":[{"text":"Plummer, Niel 0000-0002-4020-1013 nplummer@usgs.gov","orcid":"https://orcid.org/0000-0002-4020-1013","contributorId":190100,"corporation":false,"usgs":true,"family":"Plummer","given":"Niel","email":"nplummer@usgs.gov","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":479803,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sibrell, Philip L. psibrell@usgs.gov","contributorId":2006,"corporation":false,"usgs":true,"family":"Sibrell","given":"Philip","email":"psibrell@usgs.gov","middleInitial":"L.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":false,"id":479800,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Casile, Gerolamo C. jcasile@usgs.gov","contributorId":4007,"corporation":false,"usgs":true,"family":"Casile","given":"Gerolamo","email":"jcasile@usgs.gov","middleInitial":"C.","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":479802,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Busenberg, Eurybiades ebusenbe@usgs.gov","contributorId":2271,"corporation":false,"usgs":true,"family":"Busenberg","given":"Eurybiades","email":"ebusenbe@usgs.gov","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":479801,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hunt, Andrew G. 0000-0002-3810-8610 ahunt@usgs.gov","orcid":"https://orcid.org/0000-0002-3810-8610","contributorId":1582,"corporation":false,"usgs":true,"family":"Hunt","given":"Andrew","email":"ahunt@usgs.gov","middleInitial":"G.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":479799,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Schlosser, Peter","contributorId":50936,"corporation":false,"usgs":true,"family":"Schlosser","given":"Peter","email":"","affiliations":[],"preferred":false,"id":479804,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70046218,"text":"70046218 - 2013 - Assessing impacts of roads: application of a standard assessment protocol","interactions":[],"lastModifiedDate":"2013-06-01T15:35:21","indexId":"70046218","displayToPublicDate":"2013-06-01T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3228,"text":"Rangeland Ecology and Management","onlineIssn":"1551-5028","printIssn":"1550-7424","active":true,"publicationSubtype":{"id":10}},"title":"Assessing impacts of roads: application of a standard assessment protocol","docAbstract":"Adaptive management of road networks depends on timely data that accurately reflect the impacts those systems are having on ecosystem processes and associated services. In the absence of reliable data, land managers are left with little more than observations and perceptions to support management decisions of road-associated disturbances. Roads can negatively impact the soil, hydrologic, plant, and animal processes on which virtually all ecosystem services depend. The Interpreting Indicators of Rangeland Health (IIRH) protocol is a qualitative method that has been demonstrated to be effective in characterizing impacts of roads. The goal of this study were to develop, describe, and test an approach for using IIRH to systematically evaluate road impacts across large, diverse arid and semiarid landscapes. We developed a stratified random sampling approach to plot selection based on ecological potential, road inventory data, and image interpretation of road impacts. The test application on a semiarid landscape in southern New Mexico, United States, demonstrates that the approach developed is sensitive to road impacts across a broad range of ecological sites but that not all the types of stratification were useful. Ecological site and road inventory strata accounted for significant variability in the functioning of ecological processes but stratification based on apparent impact did not. Analysis of the repeatability of IIRH applied to road plots indicates that the method is repeatable but consensus evaluations based on multiple observers should be used to minimize risk of bias. Landscape-scale analysis of impacts by roads of contrasting designs (maintained dirt or gravel roads vs. non- or infrequently maintained roads) suggests that future travel management plans for the study area should consider concentrating traffic on fewer roads that are well designed and maintained. Application of the approach by land managers will likely provide important insights into minimizing impacts of road networks on key ecosystem services.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Rangeland Ecology and Management","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Society for Range Management","doi":"10.2111/REM-D-11-00130.1","usgsCitation":"Duniway, M.C., and Herrick, J.E., 2013, Assessing impacts of roads: application of a standard assessment protocol: Rangeland Ecology and Management, v. 66, no. 3, p. 364-375, https://doi.org/10.2111/REM-D-11-00130.1.","productDescription":"12 p.","startPage":"364","endPage":"375","ipdsId":"IP-030454","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":473799,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"http://hdl.handle.net/10150/642722","text":"External Repository"},{"id":273066,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":273049,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.2111/REM-D-11-00130.1"}],"volume":"66","issue":"3","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51ab09d1e4b038e354702130","contributors":{"authors":[{"text":"Duniway, Michael C. 0000-0002-9643-2785 mduniway@usgs.gov","orcid":"https://orcid.org/0000-0002-9643-2785","contributorId":4212,"corporation":false,"usgs":true,"family":"Duniway","given":"Michael","email":"mduniway@usgs.gov","middleInitial":"C.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":479199,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Herrick, Jeffrey E.","contributorId":26054,"corporation":false,"usgs":false,"family":"Herrick","given":"Jeffrey","email":"","middleInitial":"E.","affiliations":[{"id":12627,"text":"USDA-ARS Jornada Experimental Range, New Mexico State University, Las Cruces, NM 88003-8003, USA","active":true,"usgs":false}],"preferred":false,"id":479200,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70046219,"text":"sir20125218 - 2013 - Prioritization of constituents for national- and regional-scale ambient monitoring of water and sediment in the United States","interactions":[],"lastModifiedDate":"2017-10-14T11:18:14","indexId":"sir20125218","displayToPublicDate":"2013-06-01T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2012-5218","title":"Prioritization of constituents for national- and regional-scale ambient monitoring of water and sediment in the United States","docAbstract":"A total of 2,541 constituents were evaluated and prioritized for national- and regional-scale ambient monitoring of water and sediment in the United States. This prioritization was done by the U.S. Geological Survey (USGS) in preparation for the upcoming third decade (Cycle 3; 2013–23) of the National Water-Quality Assessment (NAWQA) Program. This report provides the methods used to prioritize the constituents and the results of that prioritization.\n\nConstituents were prioritized by the NAWQA National Target Analyte Strategy (NTAS) work group on the basis of available information on physical and chemical properties, observed or predicted environmental occurrence and fate, and observed or anticipated adverse effects on human health or aquatic life. Constituents were evaluated within constituent groups that were determined on the basis of physical or chemical properties or on uses or sources. Some constituents were evaluated within more than one constituent group. Although comparable objectives were used in the prioritization of constituents within the different constituent groups, differences in the availability of information accessed for each constituent group led to the development of separate prioritization approaches adapted to each constituent group to make best use of available resources. Constituents were assigned to one of three prioritization tiers: Tier 1, those having the highest priority for inclusion in ambient monitoring of water or sediment on a national or regional scale (including NAWQA Cycle 3 monitoring) on the basis of their likelihood of environmental occurrence in ambient water or sediment, or likelihood of effects on human health or aquatic life; Tier 2, those having intermediate priority for monitoring on the basis of their lower likelihood of environmental occurrence or lower likelihood of effects on human health or aquatic life; and Tier 3, those having low or no priority for monitoring on the basis of evidence of nonoccurrence or lack of effects on human health or aquatic life, or of having insufficient evidence of potential occurrence or effects to justify placement into Tier 2.\n\nOf the 1,081 constituents determined to be of highest priority for ambient monitoring (Tier 1), 602 were identified for water and 686 were identified for sediment (note that some constituents were evaluated for both water and sediment). These constituents included various types of organic compounds, trace elements and other inorganic constituents, and radionuclides. Some of these constituents are difficult to analyze, whereas others are mixtures, isomers, congeners, salts, and acids of other constituents; therefore, modifications to the list of high-priority constituents for ambient monitoring could be made on the basis of the availability of suitable methods for preparation, extraction, or analysis. An additional 1,460 constituents were placed into Tiers 2 or 3 for water or sediment, including some constituents that had been placed into Tier 1 for a different matrix; 436 constituents were placed into Tier 2 for water and 246 constituents into Tier 2 for sediment; 979 constituents were placed into Tier 3 for water and 779 constituents into Tier 3 for sediment.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20125218","usgsCitation":"Olsen, L., Valder, J., Carter, J.M., and Zogorski, J.S., 2013, Prioritization of constituents for national- and regional-scale ambient monitoring of water and sediment in the United States: U.S. Geological Survey Scientific Investigations Report 2012-5218, xvi, 203 p.; Downloads Directory; NTAS Database, https://doi.org/10.3133/sir20125218.","productDescription":"xvi, 203 p.; Downloads Directory; NTAS Database","numberOfPages":"224","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-029264","costCenters":[{"id":562,"text":"South Dakota Water Science Center","active":true,"usgs":true},{"id":34685,"text":"Dakota Water Science Center","active":true,"usgs":true}],"links":[{"id":273054,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20125218.gif"},{"id":273052,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/sir/2012/5218/downloads/"},{"id":273050,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2012/5218/"},{"id":273051,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2012/5218/downloads/sir12-5218.pdf"},{"id":273053,"type":{"id":9,"text":"Database"},"url":"https://pubs.usgs.gov/sir/2012/5218/downloads/NTASdatabase.xlsx"}],"country":"United States","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ 173.0,16.916667 ], [ 173.0,71.833333 ], [ -66.95,71.833333 ], [ -66.95,16.916667 ], [ 173.0,16.916667 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51ab09e8e4b038e35470213c","contributors":{"authors":[{"text":"Olsen, Lisa D. ldolsen@usgs.gov","contributorId":2707,"corporation":false,"usgs":true,"family":"Olsen","given":"Lisa D.","email":"ldolsen@usgs.gov","affiliations":[{"id":509,"text":"Office of the Associate Director for Water","active":true,"usgs":true}],"preferred":true,"id":479204,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Valder, Joshua F. 0000-0003-3733-8868 jvalder@usgs.gov","orcid":"https://orcid.org/0000-0003-3733-8868","contributorId":1431,"corporation":false,"usgs":true,"family":"Valder","given":"Joshua F.","email":"jvalder@usgs.gov","affiliations":[{"id":562,"text":"South Dakota Water Science Center","active":true,"usgs":true}],"preferred":false,"id":479203,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Carter, Janet M. 0000-0002-6376-3473 jmcarter@usgs.gov","orcid":"https://orcid.org/0000-0002-6376-3473","contributorId":339,"corporation":false,"usgs":true,"family":"Carter","given":"Janet","email":"jmcarter@usgs.gov","middleInitial":"M.","affiliations":[{"id":34685,"text":"Dakota Water Science Center","active":true,"usgs":true},{"id":562,"text":"South Dakota Water Science Center","active":true,"usgs":true}],"preferred":false,"id":479202,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Zogorski, John S. jszogors@usgs.gov","contributorId":189,"corporation":false,"usgs":true,"family":"Zogorski","given":"John","email":"jszogors@usgs.gov","middleInitial":"S.","affiliations":[],"preferred":true,"id":479201,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70194382,"text":"70194382 - 2013 - Roost selection by western long-eared myotis (Myotis evotis) in burned and unburned piñon–juniper woodlands of southwestern Colorado","interactions":[],"lastModifiedDate":"2017-11-27T14:05:11","indexId":"70194382","displayToPublicDate":"2013-06-01T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2373,"text":"Journal of Mammalogy","onlineIssn":"1545-1542","printIssn":"0022-2372","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Roost selection by western long-eared myotis (Myotis evotis) in burned and unburned piñon–juniper woodlands of southwestern Colorado","title":"Roost selection by western long-eared myotis (Myotis evotis) in burned and unburned piñon–juniper woodlands of southwestern Colorado","docAbstract":"All 16 species of bats known to occur in western Colorado are found at Mesa Verde National Park (MVNP) in the southwestern United States. Since 1996, wildfires have burned more than 70% of MVNP (> 15,000 ha), potentially altering food and roosting resources for bats. During the summers of 2006–2007, we investigated roost use by reproductive female western long-eared myotis (Myotis evotis). We located 33 bat roosts in rock crevices and 1 in a juniper snag. All but 2 of the roosts were in unburned habitat. Bats roosted alone or in small groups (≤3 individuals) and switched roosts frequently (1–7 roosts per bat, median = 1.5 roosts per bat, SE = 0.5 roosts per bat). We compared occupied roosts with randomly selected unoccupied crevices and used an information theoretic approach to determine which variables were most important in determining roost use at microhabitat and landscape scales. At the microhabitat scale, maternity roosts were higher above the ground and deeper than random, unoccupied rock crevices. At the landscape scale, roosts were closer to water and farther from burned habitat than random crevices, providing reproductive female M. evotis with the best opportunities to drink and forage for insects. Tree roosts are apparently not a vital resource for reproductive female M. evotis during the summer months at our study site, presumably because of the extensive availability of rock crevices. Understanding site-specific roosting behavior is important for proper management of bat populations because differences can exist between geographic regions, even among areas with similar plant communities.
","language":"English","publisher":"Oxford Academic","doi":"10.1644/11-MAMM-A-153.1","usgsCitation":"Snider, E.A., Cryan, P.M., and Wilson, K.R., 2013, Roost selection by western long-eared myotis (Myotis evotis) in burned and unburned piñon–juniper woodlands of southwestern Colorado: Journal of Mammalogy, v. 94, no. 3, p. 640-649, https://doi.org/10.1644/11-MAMM-A-153.1.","productDescription":"10 p.","startPage":"640","endPage":"649","ipdsId":"IP-029605","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":473800,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1644/11-mamm-a-153.1","text":"Publisher Index Page"},{"id":349373,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Colorado","volume":"94","issue":"3","noUsgsAuthors":false,"publicationDate":"2013-06-11","publicationStatus":"PW","scienceBaseUri":"5a6102dde4b06e28e9c25490","contributors":{"authors":[{"text":"Snider, E. Apple","contributorId":7554,"corporation":false,"usgs":false,"family":"Snider","given":"E.","email":"","middleInitial":"Apple","affiliations":[],"preferred":false,"id":723636,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cryan, Paul M. 0000-0002-2915-8894 cryanp@usgs.gov","orcid":"https://orcid.org/0000-0002-2915-8894","contributorId":2356,"corporation":false,"usgs":true,"family":"Cryan","given":"Paul","email":"cryanp@usgs.gov","middleInitial":"M.","affiliations":[{"id":547,"text":"Rocky Mountain Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":723637,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wilson, Kenneth R.","contributorId":29255,"corporation":false,"usgs":true,"family":"Wilson","given":"Kenneth","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":723638,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70188806,"text":"70188806 - 2013 - Tectonic setting of the pebble and other copper-gold-molybdenum porphyry deposits within the evolving middle cretaceous continental margin of Northwestern North America","interactions":[],"lastModifiedDate":"2021-04-20T12:00:05.356788","indexId":"70188806","displayToPublicDate":"2013-05-31T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1472,"text":"Economic Geology","active":true,"publicationSubtype":{"id":10}},"title":"Tectonic setting of the pebble and other copper-gold-molybdenum porphyry deposits within the evolving middle cretaceous continental margin of Northwestern North America","docAbstract":"The Pebble Cu-Au-Mo deposit in southwestern Alaska, containing the largest gold resource of any known porphyry in the world, developed in a tectonic setting significantly different from that of the present-day. It is one of a series of metalliferous middle Cretaceous porphyritic granodiorite, quartz monzonite, and diorite bodies, evolved from lower crust and metasomatized lithospheric mantle melts, which formed along much of the length of the North American craton suture with the Peninsular-Alexander-Wrangellia arc. The porphyry deposits were emplaced within the northernmost two of a series of ca. 130 to 80 Ma flysch basins that define the suture, as well as into arc rocks immediately seaward of the two basins. Deposits include the ca. 100 to 90 Ma Pebble, Neacola, and other porphyry prospects along the Kahiltna basin-Peninsula terrane boundary, and the ca. 115 to 105 Ma Baultoff, Carl Creek, Horsfeld, Orange Hill, Bond Creek, and Chisna porphyries along the Nutzotin basin-Wrangellia terrane boundary.
The porphyry deposits probably formed along the craton margin more than 1,000 km to the south of their present latitude. Palinspastic reconstructions of plate kinematics from this period are particularly difficult because magmatism overlaps the 119 to 83 Ma Cretaceous Normal Superchron, a period when sea-floor magnetic data are lacking. Our favored scenario is that ore formation broadly overlaps the cessation of sedimentation and contraction and the transition to a transpressional continental margin regime, such that the remnant ocean basins were converted to strike-slip basins. The basins and outboard Peninsular-Alexander-Wrangellia composite superterrane, which are all located seaward of the deep crustal Denali-Farewell fault system, were subjected to northerly dextral transpression for as long as perhaps 50 m.y., beginning at ca. 95 ± 10 Ma. The onset of this transpression was marked by development of the mineralized bodies along fault segments on the seaward side of the basins.
Geochemical and radiogenic isotopic data for igneous rocks associated with the Pebble porphyry deposit suggest continuous melt derivation from enriched lithosphere of a recently metasomatized mantle. These geochemical characteristics, coupled with the arc-continent-related collisional setting, suggest that lithospheric thickening and postcollisional lithospheric melting are the most likely cause of the ore-related magmatism. Subsequent to translation of the Alaskan margin terranes and early Tertiary oroclinal bending of Alaska, the northernmost Kahiltna basin and the Pebble deposit, as well as the other porphyry systems, reached their present-day locations along southern Alaska.
","language":"English","publisher":"Society of Economic Geologists","doi":"10.2113/econgeo.108.3.405","usgsCitation":"Goldfarb, R.J., Anderson, E., and Hart, C., 2013, Tectonic setting of the pebble and other copper-gold-molybdenum porphyry deposits within the evolving middle cretaceous continental margin of Northwestern North America: Economic Geology, v. 108, no. 3, p. 405-419, https://doi.org/10.2113/econgeo.108.3.405.","productDescription":"15 p.","startPage":"405","endPage":"419","ipdsId":"IP-036827","costCenters":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"links":[{"id":342889,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, United States","state":"Alaska, Yukon","otherGeospatial":"Gulf of Alaska","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -160.048828125,\n 54.265224078605684\n ],\n [\n -160.048828125,\n 50.84757295365389\n ],\n [\n -129.90234375,\n 51.069016659603896\n ],\n [\n -130.25390625,\n 64.47279382008166\n ],\n [\n -160.576171875,\n 64.54844014422517\n ],\n [\n -160.048828125,\n 54.265224078605684\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"108","issue":"3","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2013-03-07","publicationStatus":"PW","scienceBaseUri":"59521d29e4b062508e3c36dc","contributors":{"authors":[{"text":"Goldfarb, Richard J. goldfarb@usgs.gov","contributorId":1205,"corporation":false,"usgs":true,"family":"Goldfarb","given":"Richard","email":"goldfarb@usgs.gov","middleInitial":"J.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":false,"id":700450,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Anderson, Eric D. 0000-0002-0138-6166 ericanderson@usgs.gov","orcid":"https://orcid.org/0000-0002-0138-6166","contributorId":172766,"corporation":false,"usgs":true,"family":"Anderson","given":"Eric","email":"ericanderson@usgs.gov","middleInitial":"D.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":700449,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hart, Craig J.","contributorId":193430,"corporation":false,"usgs":false,"family":"Hart","given":"Craig J.","affiliations":[],"preferred":false,"id":700451,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}} ,{"id":70178334,"text":"70178334 - 2013 - Temporal variability of exchange between groundwater and surface water based on high-frequency direct measurements of seepage at the sediment-water interface","interactions":[],"lastModifiedDate":"2021-01-04T13:11:27.570595","indexId":"70178334","displayToPublicDate":"2013-05-31T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3722,"text":"Water Resources Research","onlineIssn":"1944-7973","printIssn":"0043-1397","active":true,"publicationSubtype":{"id":10}},"title":"Temporal variability of exchange between groundwater and surface water based on high-frequency direct measurements of seepage at the sediment-water interface","docAbstract":"Seepage at the sediment-water interface in several lakes, a large river, and an estuary exhibits substantial temporal variability when measured with temporal resolution of 1 min or less. Already substantial seepage rates changed by 7% and 16% in response to relatively small rain events at two lakes in the northeastern USA, but did not change in response to two larger rain events at a lake in Minnesota. However, seepage at that same Minnesota lake changed by 10% each day in response to withdrawals from evapotranspiration. Seepage increased by more than an order of magnitude when a seiche occurred in the Great Salt Lake, Utah. Near the head of a fjord in Puget Sound, Washington, seepage in the intertidal zone varied greatly from −115 to +217 cm d−1 in response to advancing and retreating tides when the time-averaged seepage was upward at +43 cm d−1. At all locations, seepage variability increased by one to several orders of magnitude in response to wind and associated waves. Net seepage remained unchanged by wind unless wind also induced a lake seiche. These examples from sites distributed across a broad geographic region indicate that temporal variability in seepage in response to common hydrological events is much larger than previously realized. At most locations, seepage responded within minutes to changes in surface-water stage and within minutes to hours to groundwater recharge associated with rainfall. Likely implications of this dynamism include effects on water residence time, geochemical transformations, and ecological conditions at and near the sediment-water interface.","language":"English","publisher":"American Geophysical Union","doi":"10.1002/wrcr.20198","usgsCitation":"Rosenberry, D.O., Sheibley, R.W., Cox, S.E., Simonds, F.W., and Naftz, D.L., 2013, Temporal variability of exchange between groundwater and surface water based on high-frequency direct measurements of seepage at the sediment-water interface: Water Resources Research, v. 49, no. 5, p. 2975-2986, https://doi.org/10.1002/wrcr.20198.","productDescription":"11 p.","startPage":"2975","endPage":"2986","ipdsId":"IP-043964","costCenters":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"links":[{"id":473804,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/wrcr.20198","text":"Publisher Index Page"},{"id":330964,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -95.537109375,\n 49.15296965617042\n ],\n [\n -122.51953124999999,\n 49.32512199104001\n ],\n [\n -122.87109375,\n 48.10743118848039\n ],\n [\n -125.068359375,\n 48.40003249610685\n ],\n [\n -124.62890625,\n 46.73986059969267\n ],\n [\n -125.068359375,\n 43.13306116240612\n ],\n [\n -120.41015624999999,\n 33.211116472416855\n ],\n [\n -118.65234374999999,\n 32.47269502206151\n ],\n [\n -115.6640625,\n 32.84267363195431\n ],\n [\n -113.37890625,\n 32.54681317351514\n ],\n [\n -110.21484375,\n 31.57853542647338\n ],\n [\n -106.171875,\n 32.10118973232094\n ],\n [\n -104.501953125,\n 30.524413269923986\n ],\n [\n -103.271484375,\n 29.458731185355344\n ],\n [\n -102.568359375,\n 30.06909396443887\n ],\n [\n -101.07421875,\n 30.29701788337205\n ],\n [\n -99.931640625,\n 29.22889003019423\n ],\n [\n -98.701171875,\n 27.21555620902969\n ],\n [\n -97.998046875,\n 26.352497858154024\n ],\n [\n -96.416015625,\n 27.449790329784214\n ],\n [\n -95.00976562499999,\n 28.613459424004414\n ],\n [\n -91.318359375,\n 28.844673680771795\n ],\n [\n -88.681640625,\n 29.075375179558346\n ],\n [\n -88.06640625,\n 29.76437737516313\n ],\n [\n -86.484375,\n 29.611670115197377\n ],\n [\n -85.078125,\n 28.92163128242129\n ],\n [\n -83.84765625,\n 28.92163128242129\n ],\n [\n -82.44140625,\n 26.03704188651584\n ],\n [\n -80.33203125,\n 24.686952411999155\n ],\n [\n -79.013671875,\n 26.509904531413927\n ],\n [\n -80.244140625,\n 29.611670115197377\n ],\n [\n -80.244140625,\n 31.27855085894653\n ],\n [\n -75.5859375,\n 35.31736632923788\n ],\n [\n -75.234375,\n 36.4566360115962\n ],\n [\n -74.44335937499999,\n 38.34165619279595\n ],\n [\n -72.333984375,\n 40.58058466412761\n ],\n [\n -69.697265625,\n 42.22851735620852\n ],\n [\n -69.697265625,\n 43.004647127794435\n ],\n [\n -67.1484375,\n 44.15068115978094\n ],\n [\n -66.97265625,\n 45.460130637921004\n ],\n [\n -68.115234375,\n 46.800059446787316\n ],\n [\n -68.994140625,\n 47.15984001304432\n ],\n [\n -70.048828125,\n 45.521743896993634\n ],\n [\n -72.59765625,\n 44.653024159812\n ],\n [\n -75.05859375,\n 44.77793589631623\n ],\n [\n -76.904296875,\n 43.644025847699496\n ],\n [\n -78.837890625,\n 43.58039085560784\n ],\n [\n -79.013671875,\n 42.4234565179383\n ],\n [\n -81.73828125,\n 41.57436130598913\n ],\n [\n -83.583984375,\n 41.83682786072714\n ],\n [\n -82.96875,\n 43.068887774169625\n ],\n [\n -82.529296875,\n 45.089035564831036\n ],\n [\n -84.0234375,\n 46.195042108660154\n ],\n [\n -87.099609375,\n 47.517200697839414\n ],\n [\n -88.505859375,\n 48.28319289548349\n ],\n [\n -90.703125,\n 47.989921667414194\n ],\n [\n -92.28515625,\n 48.16608541901253\n ],\n [\n -94.482421875,\n 48.69096039092549\n ],\n [\n -95.537109375,\n 49.15296965617042\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"49","issue":"5","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2013-05-31","publicationStatus":"PW","scienceBaseUri":"5826b95de4b01fad86eb905c","contributors":{"authors":[{"text":"Rosenberry, Donald O. 0000-0003-0681-5641 rosenber@usgs.gov","orcid":"https://orcid.org/0000-0003-0681-5641","contributorId":1312,"corporation":false,"usgs":true,"family":"Rosenberry","given":"Donald","email":"rosenber@usgs.gov","middleInitial":"O.","affiliations":[{"id":5044,"text":"National Research Program - 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2013 - Geospace environment modeling 2008--2009 challenge: Dst index","interactions":[],"lastModifiedDate":"2013-05-30T10:59:24","indexId":"70045238","displayToPublicDate":"2013-05-30T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3456,"text":"Space Weather","active":true,"publicationSubtype":{"id":10}},"title":"Geospace environment modeling 2008--2009 challenge: Dst index","docAbstract":"This paper reports the metrics-based results of the Dst index part of the 2008–2009 GEM Metrics Challenge. The 2008–2009 GEM Metrics Challenge asked modelers to submit results for four geomagnetic storm events and five different types of observations that can be modeled by statistical, climatological or physics-based models of the magnetosphere-ionosphere system. We present the results of 30 model settings that were run at the Community Coordinated Modeling Center and at the institutions of various modelers for these events. To measure the performance of each of the models against the observations, we use comparisons of 1 hour averaged model data with the Dst index issued by the World Data Center for Geomagnetism, Kyoto, Japan, and direct comparison of 1 minute model data with the 1 minute Dst index calculated by the United States Geological Survey. The latter index can be used to calculate spectral variability of model outputs in comparison to the index. We find that model rankings vary widely by skill score used. None of the models consistently perform best for all events. We find that empirical models perform well in general. Magnetohydrodynamics-based models of the global magnetosphere with inner magnetosphere physics (ring current model) included and stand-alone ring current models with properly defined boundary conditions perform well and are able to match or surpass results from empirical models. Unlike in similar studies, the statistical models used in this study found their challenge in the weakest events rather than the strongest events.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Space Weather","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Wiley","doi":"10.1002/swe.20036","usgsCitation":"Rastatter, L., Kuznetsova, M., Glocer, A., Welling, D., Meng, X., Raeder, J., Wittberger, M., Jordanova, V., Yu, Y., Zaharia, S., Weigel, R., Sazykin, S., Boynton, R., Wei, H., Eccles, V., Horton, W., Mays, M., and Gannon, J., 2013, Geospace environment modeling 2008--2009 challenge: Dst index: Space Weather, v. 11, no. 4, p. 187-205, https://doi.org/10.1002/swe.20036.","productDescription":"19 p.","startPage":"187","endPage":"205","ipdsId":"IP-044644","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":473805,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/swe.20036","text":"Publisher Index Page"},{"id":273011,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":273010,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1002/swe.20036"}],"volume":"11","issue":"4","noUsgsAuthors":false,"publicationDate":"2013-04-11","publicationStatus":"PW","scienceBaseUri":"51a866d7e4b082d85d5ed873","contributors":{"authors":[{"text":"Rastatter, L.","contributorId":55317,"corporation":false,"usgs":true,"family":"Rastatter","given":"L.","email":"","affiliations":[],"preferred":false,"id":477096,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kuznetsova, M.M.","contributorId":54495,"corporation":false,"usgs":true,"family":"Kuznetsova","given":"M.M.","email":"","affiliations":[],"preferred":false,"id":477095,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Glocer, A.","contributorId":96180,"corporation":false,"usgs":true,"family":"Glocer","given":"A.","email":"","affiliations":[],"preferred":false,"id":477100,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Welling, D.","contributorId":96990,"corporation":false,"usgs":true,"family":"Welling","given":"D.","email":"","affiliations":[],"preferred":false,"id":477101,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Meng, X.","contributorId":56962,"corporation":false,"usgs":true,"family":"Meng","given":"X.","email":"","affiliations":[],"preferred":false,"id":477097,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Raeder, J.","contributorId":15919,"corporation":false,"usgs":true,"family":"Raeder","given":"J.","email":"","affiliations":[],"preferred":false,"id":477087,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Wittberger, M.","contributorId":105204,"corporation":false,"usgs":true,"family":"Wittberger","given":"M.","email":"","affiliations":[],"preferred":false,"id":477102,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Jordanova, V.K.","contributorId":63704,"corporation":false,"usgs":true,"family":"Jordanova","given":"V.K.","email":"","affiliations":[],"preferred":false,"id":477098,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Yu, Y.","contributorId":31292,"corporation":false,"usgs":true,"family":"Yu","given":"Y.","email":"","affiliations":[],"preferred":false,"id":477090,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Zaharia, S.","contributorId":31663,"corporation":false,"usgs":true,"family":"Zaharia","given":"S.","email":"","affiliations":[],"preferred":false,"id":477091,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Weigel, R.S.","contributorId":34809,"corporation":false,"usgs":true,"family":"Weigel","given":"R.S.","affiliations":[],"preferred":false,"id":477092,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Sazykin, S.","contributorId":28512,"corporation":false,"usgs":true,"family":"Sazykin","given":"S.","email":"","affiliations":[],"preferred":false,"id":477089,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Boynton, R.","contributorId":13887,"corporation":false,"usgs":true,"family":"Boynton","given":"R.","email":"","affiliations":[],"preferred":false,"id":477086,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Wei, H.","contributorId":18255,"corporation":false,"usgs":true,"family":"Wei","given":"H.","email":"","affiliations":[],"preferred":false,"id":477088,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Eccles, V.","contributorId":70678,"corporation":false,"usgs":true,"family":"Eccles","given":"V.","email":"","affiliations":[],"preferred":false,"id":477099,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Horton, W.","contributorId":44448,"corporation":false,"usgs":true,"family":"Horton","given":"W.","email":"","affiliations":[],"preferred":false,"id":477093,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Mays, M.L.","contributorId":10705,"corporation":false,"usgs":true,"family":"Mays","given":"M.L.","email":"","affiliations":[],"preferred":false,"id":477085,"contributorType":{"id":1,"text":"Authors"},"rank":17},{"text":"Gannon, J.","contributorId":52869,"corporation":false,"usgs":true,"family":"Gannon","given":"J.","email":"","affiliations":[],"preferred":false,"id":477094,"contributorType":{"id":1,"text":"Authors"},"rank":18}]}} ,{"id":70046204,"text":"70046204 - 2013 - Microbial community responses to 17 years of altered precipitation are seasonally dependent and coupled to co-varying effects of water content on vegetation and soil C","interactions":[],"lastModifiedDate":"2013-05-30T22:17:51","indexId":"70046204","displayToPublicDate":"2013-05-30T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3416,"text":"Soil Biology and Biochemistry","active":true,"publicationSubtype":{"id":10}},"title":"Microbial community responses to 17 years of altered precipitation are seasonally dependent and coupled to co-varying effects of water content on vegetation and soil C","docAbstract":"Precipitation amount and seasonal timing determine the duration and distribution of water available for plant and microbial activity in the cold desert sagebrush steppe. In this study, we sought to determine if a sustained shift in the amount and timing of precipitation would affect soil microbial diversity, community composition, and soil carbon (C) storage. Field plots were irrigated (+200 mm) during the dormant or growing-season for 17 years. Microbial community responses were assessed over the course of a year at two depths (15–20 cm, 95–100 cm) by terminal restriction fragment length polymorphism (T-RFLP), along with co-occurring changes in plant cover and edaphic properties. Bacterial richness, Shannon Weaver diversity, and composition in shallow soils (15–20 cm) as well as evenness in deep soils (95–100 cm) differed across irrigation treatments during July. Irrigation timing affected fungal community diversity and community composition during the dormant season and most strongly in deep soils (95–100 cm). Dormant-season irrigation increased the ratio of shrubs to forbs and reduced soil C in shallow soils by 16% relative to ambient conditions. It is unclear whether or not soil C will continue to decline with continued treatment application or if microbial adaptation could mitigate sustained soil C losses. Future changes in precipitation timing will affect soil microbes in a seasonally dependent manner and be coupled to co-varying effects of water content on vegetation and soil C.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Soil Biology and Biochemistry","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","doi":"10.1016/j.soilbio.2013.04.014","usgsCitation":"Sorensen, P.O., Germino, M., and Feris, K.P., 2013, Microbial community responses to 17 years of altered precipitation are seasonally dependent and coupled to co-varying effects of water content on vegetation and soil C: Soil Biology and Biochemistry, v. 64, p. 155-163, https://doi.org/10.1016/j.soilbio.2013.04.014.","productDescription":"9 p.","startPage":"155","endPage":"163","ipdsId":"IP-044329","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":273042,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":273041,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.soilbio.2013.04.014"}],"volume":"64","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51a866d9e4b082d85d5ed877","contributors":{"authors":[{"text":"Sorensen, Patrick O.","contributorId":55719,"corporation":false,"usgs":true,"family":"Sorensen","given":"Patrick","email":"","middleInitial":"O.","affiliations":[],"preferred":false,"id":479159,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Germino, Matthew J.","contributorId":50029,"corporation":false,"usgs":true,"family":"Germino","given":"Matthew J.","affiliations":[],"preferred":false,"id":479157,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Feris, Kevin P.","contributorId":51188,"corporation":false,"usgs":true,"family":"Feris","given":"Kevin","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":479158,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70046201,"text":"sir20135115 - 2013 - Recharge sources and residence times of groundwater as determined by geochemical tracers in the Mayfield Area, southwestern Idaho, 2011–12","interactions":[],"lastModifiedDate":"2013-05-30T15:09:50","indexId":"sir20135115","displayToPublicDate":"2013-05-30T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2013-5115","title":"Recharge sources and residence times of groundwater as determined by geochemical tracers in the Mayfield Area, southwestern Idaho, 2011–12","docAbstract":"Parties proposing residential development in the area of Mayfield, Idaho are seeking a sustainable groundwater supply. During 2011–12, the U.S. Geological Survey, in cooperation with the Idaho Department of Water Resources, used geochemical tracers in the Mayfield area to evaluate sources of aquifer recharge and differences in groundwater residence time. Fourteen groundwater wells and one surface-water site were sampled for major ion chemistry, metals, stable isotopes, and age tracers; data collected from this study were used to evaluate the sources of groundwater recharge and groundwater residence times in the area. Major ion chemistry varied along a flow path between deeper wells, suggesting an upgradient source of dilute water, and a downgradient source of more concentrated water with the geochemical signature of the Idaho Batholith. Samples from shallow wells had elevated nutrient concentrations, a more positive oxygen-18 signature, and younger carbon-14 dates than deep wells, suggesting that recharge comes from young precipitation and surface-water infiltration. Samples from deep wells generally had higher concentrations of metals typical of geothermal waters, a more negative oxygen-18 signature, and older carbon-14 values than samples from shallow wells, suggesting that recharge comes from both infiltration of meteoric water and another source. The chemistry of groundwater sampled from deep wells is somewhat similar to the chemistry in geothermal waters, suggesting that geothermal water may be a source of recharge to this aquifer. Results of NETPATH mixing models suggest that geothermal water composes 1–23 percent of water in deep wells. Chlorofluorocarbons were detected in every sample, which indicates that all groundwater samples contain at least a component of young recharge, and that groundwater is derived from multiple recharge sources. Conclusions from this study can be used to further refine conceptual hydrological models of the area.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20135115","collaboration":"Prepared in cooperation with the Idaho Department of Water Resources","usgsCitation":"Hopkins, C.B., 2013, Recharge sources and residence times of groundwater as determined by geochemical tracers in the Mayfield Area, southwestern Idaho, 2011–12: U.S. Geological Survey Scientific Investigations Report 2013-5115, vi, 38 p., https://doi.org/10.3133/sir20135115.","productDescription":"vi, 38 p.","numberOfPages":"46","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"links":[{"id":273032,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20135115.jpg"},{"id":273031,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2013/5115/pdf/sir20135115.pdf"},{"id":273030,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2013/5115/"}],"country":"United States","state":"Idaho","otherGeospatial":"Mayfield Area","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -116.50,43.15 ], [ -116.50,43.30 ], [ -115,43.30 ], [ -115,43.15 ], [ -116.50,43.15 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51a866d9e4b082d85d5ed87b","contributors":{"authors":[{"text":"Hopkins, Candice B. 0000-0003-3207-7267 chopkins@usgs.gov","orcid":"https://orcid.org/0000-0003-3207-7267","contributorId":1379,"corporation":false,"usgs":true,"family":"Hopkins","given":"Candice","email":"chopkins@usgs.gov","middleInitial":"B.","affiliations":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"preferred":true,"id":479147,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70046188,"text":"sir20135011 - 2013 - Estimation of volume and mass and of changes in volume and mass of selected chat piles in the Picher mining district, Ottawa County, Oklahoma, 2005-10","interactions":[],"lastModifiedDate":"2013-05-30T10:19:23","indexId":"sir20135011","displayToPublicDate":"2013-05-30T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2013-5011","title":"Estimation of volume and mass and of changes in volume and mass of selected chat piles in the Picher mining district, Ottawa County, Oklahoma, 2005-10","docAbstract":"From the 1890s through the 1970s the Picher mining district in northeastern Ottawa County, Oklahoma, was the site of mining and processing of lead and zinc ore. When mining ceased in about 1979, as much as 165–300 million tons of mine tailings, locally referred to as “chat,” remained in the Picher mining district. Since 1979, some chat piles have been mined for aggregate materials and have decreased in volume and mass. Currently (2013), the land surface in the Picher mining district is covered by thousands of acres of chat, much of which remains on Indian trust land owned by allottees. The Bureau of Indian Affairs manages these allotted lands and oversees the sale and removal of chat from these properties. To help the Bureau of Indian Affairs better manage the sale and removal of chat, the U.S. Geological Survey, in cooperation with the Bureau of Indian Affairs, estimated the 2005 and 2010 volumes and masses of selected chat piles remaining on allotted lands in the Picher mining district. The U.S. Geological Survey also estimated the changes in volume and mass of these chat piles for the period 2005 through 2010.\n\nThe 2005 and 2010 chat-pile volume and mass estimates were computed for 34 selected chat piles on 16 properties in the study area. All computations of volume and mass were performed on individual chat piles and on groups of chat piles in the same property. The Sooner property had the greatest estimated volume (4.644 million cubic yards) and mass (5.253 ± 0.473 million tons) of chat in 2010. Five of the selected properties (Sooner, Western, Lawyers, Skelton, and St. Joe) contained estimated chat volumes exceeding 1 million cubic yards and estimated chat masses exceeding 1 million tons in 2010. Four of the selected properties (Lucky Bill Humbah, Ta Mee Heh, Bird Dog, and St. Louis No. 6) contained estimated chat volumes of less than 0.1 million cubic yards and estimated chat masses of less than 0.1 million tons in 2010. The total volume of all selected chat piles was estimated to be 18.073 million cubic yards in 2005 and 16.171 million cubic yards in 2010. The total mass of all selected chat piles was estimated to be 20.445 ± 1.840 million tons in 2005 and 18.294 ± 1.646 million tons in 2010.\n\nAll of the selected chat piles decreased in volume and mass for the period 2005 through 2010. Chat piles CP022 (Ottawa property) and CP013 (Sooner property) had some within-property chat-pile redistribution, with both chat piles having net decreases in volume and mass for the period 2005 through 2010. The Sooner property and the St. Joe property had the greatest volume (and mass) changes, with 1.266 million cubic yards and 0.217 million cubic yards (1.432 ± 0.129 million tons and 0.246 ± 0.022 million tons) of chat being removed, respectively. The chat removed from the Sooner and St. Joe properties accounts for about 78 percent of the chat removed from all selected chat piles and properties. The total volume and mass removed from all selected chat piles for the period 2005 through 2010 were estimated to be 1.902 million cubic yards and 2.151 ± 0.194 million tons, respectively.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20135011","collaboration":"Prepared in cooperation with the Bureau of Indian Affairs","usgsCitation":"Smith, S.J., 2013, Estimation of volume and mass and of changes in volume and mass of selected chat piles in the Picher mining district, Ottawa County, Oklahoma, 2005-10: U.S. Geological Survey Scientific Investigations Report 2013-5011, iv, 20 p., https://doi.org/10.3133/sir20135011.","productDescription":"iv, 20 p.","numberOfPages":"28","onlineOnly":"Y","additionalOnlineFiles":"N","temporalStart":"2005-01-01","temporalEnd":"2010-12-31","costCenters":[{"id":516,"text":"Oklahoma Water Science Center","active":true,"usgs":true}],"links":[{"id":273009,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20135011.gif"},{"id":273007,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2013/5011/"},{"id":273008,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2013/5011/sir2013-5011.pdf"}],"country":"United States","state":"Oklahoma","county":"Ottawa County","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -95.0,36.6693 ], [ -95.0,37.0 ], [ -94.6175,37.0 ], [ -94.6175,36.6693 ], [ -95.0,36.6693 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51a866d7e4b082d85d5ed86f","contributors":{"authors":[{"text":"Smith, S. Jerrod 0000-0002-9379-8167 sjsmith@usgs.gov","orcid":"https://orcid.org/0000-0002-9379-8167","contributorId":981,"corporation":false,"usgs":true,"family":"Smith","given":"S.","email":"sjsmith@usgs.gov","middleInitial":"Jerrod","affiliations":[{"id":516,"text":"Oklahoma Water Science Center","active":true,"usgs":true}],"preferred":true,"id":479121,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70046206,"text":"sir20135090 - 2013 - Computed statistics at streamgages, and methods for estimating low-flow frequency statistics and development of regional regression equations for estimating low-flow frequency statistics at ungaged locations in Missouri","interactions":[],"lastModifiedDate":"2013-05-30T21:49:14","indexId":"sir20135090","displayToPublicDate":"2013-05-30T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2013-5090","title":"Computed statistics at streamgages, and methods for estimating low-flow frequency statistics and development of regional regression equations for estimating low-flow frequency statistics at ungaged locations in Missouri","docAbstract":"The weather and precipitation patterns in Missouri vary considerably from year to year. In 2008, the statewide average rainfall was 57.34 inches and in 2012, the statewide average rainfall was 30.64 inches. This variability in precipitation and resulting streamflow in Missouri underlies the necessity for water managers and users to have reliable streamflow statistics and a means to compute select statistics at ungaged locations for a better understanding of water availability. Knowledge of surface-water availability is dependent on the streamflow data that have been collected and analyzed by the U.S. Geological Survey for more than 100 years at approximately 350 streamgages throughout Missouri. The U.S. Geological Survey, in cooperation with the Missouri Department of Natural Resources, computed streamflow statistics at streamgages through the 2010 water year, defined periods of drought and defined methods to estimate streamflow statistics at ungaged locations, and developed regional regression equations to compute selected streamflow statistics at ungaged locations.\n\nStreamflow statistics and flow durations were computed for 532 streamgages in Missouri and in neighboring States of Missouri. For streamgages with more than 10 years of record, Kendall’s tau was computed to evaluate for trends in streamflow data. If trends were detected, the variable length method was used to define the period of no trend. Water years were removed from the dataset from the beginning of the record for a streamgage until no trend was detected. Low-flow frequency statistics were then computed for the entire period of record and for the period of no trend if 10 or more years of record were available for each analysis.\n\nThree methods are presented for computing selected streamflow statistics at ungaged locations. The first method uses power curve equations developed for 28 selected streams in Missouri and neighboring States that have multiple streamgages on the same streams. Statistical estimates on one of these streams can be calculated at an ungaged location that has a drainage area that is between 40 percent of the drainage area of the farthest upstream streamgage and within 150 percent of the drainage area of the farthest downstream streamgage along the stream of interest. The second method may be used on any stream with a streamgage that has operated for 10 years or longer and for which anthropogenic effects have not changed the low-flow characteristics at the ungaged location since collection of the streamflow data. A ratio of drainage area of the stream at the ungaged location to the drainage area of the stream at the streamgage was computed to estimate the statistic at the ungaged location. The range of applicability is between 40- and 150-percent of the drainage area of the streamgage, and the ungaged location must be located on the same stream as the streamgage. The third method uses regional regression equations to estimate selected low-flow frequency statistics for unregulated streams in Missouri. This report presents regression equations to estimate frequency statistics for the 10-year recurrence interval and for the N-day durations of 1, 2, 3, 7, 10, 30, and 60 days.\n\nBasin and climatic characteristics were computed using geographic information system software and digital geospatial data. A total of 35 characteristics were computed for use in preliminary statewide and regional regression analyses based on existing digital geospatial data and previous studies. Spatial analyses for geographical bias in the predictive accuracy of the regional regression equations defined three low-flow regions with the State representing the three major physiographic provinces in Missouri. Region 1 includes the Central Lowlands, Region 2 includes the Ozark Plateaus, and Region 3 includes the Mississippi Alluvial Plain. A total of 207 streamgages were used in the regression analyses for the regional equations. Of the 207 U.S. Geological Survey streamgages, 77 were located in Region 1, 120 were located in Region 2, and 10 were located in Region 3. Streamgages located outside of Missouri were selected to extend the range of data used for the independent variables in the regression analyses. Streamgages included in the regression analyses had 10 or more years of record and were considered to be affected minimally by anthropogenic activities or trends. Regional regression analyses identified three characteristics as statistically significant for the development of regional equations. For Region 1, drainage area, longest flow path, and streamflow-variability index were statistically significant. The range in the standard error of estimate for Region 1 is 79.6 to 94.2 percent. For Region 2, drainage area and streamflow variability index were statistically significant, and the range in the standard error of estimate is 48.2 to 72.1 percent. For Region 3, drainage area and streamflow-variability index also were statistically significant with a range in the standard error of estimate of 48.1 to 96.2 percent.\n\nLimitations on the use of estimating low-flow frequency statistics at ungaged locations are dependent on the method used. The first method outlined for use in Missouri, power curve equations, were developed to estimate the selected statistics for ungaged locations on 28 selected streams with multiple streamgages located on the same stream. A second method uses a drainage-area ratio to compute statistics at an ungaged location using data from a single streamgage on the same stream with 10 or more years of record. Ungaged locations on these streams may use the ratio of the drainage area at an ungaged location to the drainage area at a streamgage location to scale the selected statistic value from the streamgage location to the ungaged location. This method can be used if the drainage area of the ungaged location is within 40 to 150 percent of the streamgage drainage area. The third method is the use of the regional regression equations. The limits for the use of these equations are based on the ranges of the characteristics used as independent variables and that streams must be affected minimally by anthropogenic activities.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20135090","collaboration":"Prepared in cooperation with the Missouri Department of Natural Resources","usgsCitation":"Southard, R.E., 2013, Computed statistics at streamgages, and methods for estimating low-flow frequency statistics and development of regional regression equations for estimating low-flow frequency statistics at ungaged locations in Missouri: U.S. Geological Survey Scientific Investigations Report 2013-5090, vii, 28 p., https://doi.org/10.3133/sir20135090.","productDescription":"vii, 28 p.","numberOfPages":"40","ipdsId":"IP-042887","costCenters":[{"id":396,"text":"Missouri Water Science Center","active":true,"usgs":true}],"links":[{"id":273040,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20135090.gif"},{"id":273039,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/sir/2013/5090/downloads/"},{"id":273037,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2013/5090/"},{"id":273038,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2013/5090/sir13-5090.pdf"}],"country":"United States","state":"Missouri","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -95.77,36.0 ], [ -95.77,40.61 ], [ -89.1,40.61 ], [ -89.1,36.0 ], [ -95.77,36.0 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51a866cfe4b082d85d5ed86b","contributors":{"authors":[{"text":"Southard, Rodney E. 0000-0001-8024-9698 southard@usgs.gov","orcid":"https://orcid.org/0000-0001-8024-9698","contributorId":3880,"corporation":false,"usgs":true,"family":"Southard","given":"Rodney","email":"southard@usgs.gov","middleInitial":"E.","affiliations":[],"preferred":true,"id":479171,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70046172,"text":"sir20135063 - 2013 - Reserve growth of oil and gas fields—Investigations and applications","interactions":[],"lastModifiedDate":"2013-05-30T07:42:42","indexId":"sir20135063","displayToPublicDate":"2013-05-29T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2013-5063","title":"Reserve growth of oil and gas fields—Investigations and applications","docAbstract":"The reserve growth of fields has been a topic for ongoing discussion for over half a century and will continue to be studied well into the future. This is due to the expected size of the volumetric contribution of reserve growth to the future supply of oil and natural gas. Understanding past methods of estimating future volumes based on the data assembly methods that have been used can lead to a better understanding of their applicability. The statistical nature of past methods and the (1) possible high level of dependency on a limited number of fields, (2) assumption of an age-based correlation with effective reserve growth, and (3) assumption of long-lived and more common than not reserve growth, may be improved by employing a more geologically based approach.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20135063","usgsCitation":"Cook, T.A., 2013, Reserve growth of oil and gas fields—Investigations and applications: U.S. Geological Survey Scientific Investigations Report 2013-5063, iv, 30 p., https://doi.org/10.3133/sir20135063.","productDescription":"iv, 30 p.","onlineOnly":"Y","additionalOnlineFiles":"N","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":272971,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20135063.gif"},{"id":272969,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2013/5063/"},{"id":272970,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2013/5063/SIR13-5063_508.pdf"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51a71567e4b09db86f875c87","contributors":{"authors":[{"text":"Cook, Troy A.","contributorId":52519,"corporation":false,"usgs":true,"family":"Cook","given":"Troy","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":479085,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70046182,"text":"70046182 - 2013 - How does pedogenesis drive plant diversity?","interactions":[],"lastModifiedDate":"2013-06-06T14:50:52","indexId":"70046182","displayToPublicDate":"2013-05-29T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3653,"text":"Trends in Ecology and Evolution","active":true,"publicationSubtype":{"id":10}},"title":"How does pedogenesis drive plant diversity?","docAbstract":"Some of the most species-rich plant communities occur on ancient, strongly weathered soils, whereas those on recently developed soils tend to be less diverse. Mechanisms underlying this well-known pattern, however, remain unresolved. Here, we present a conceptual model describing alternative mechanisms by which pedogenesis (the process of soil formation) might drive plant diversity. We suggest that long-term soil chronosequences offer great, yet largely untapped, potential as 'natural experiments' to determine edaphic controls over plant diversity. Finally, we discuss how our conceptual model can be evaluated quantitatively using structural equation modeling to advance multivariate theories about the determinants of local plant diversity. This should help us to understand broader-scale diversity patterns, such as the latitudinal gradient of plant diversity.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Trends in Ecology and Evolution","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","doi":"10.1016/j.tree.2013.02.008","usgsCitation":"Laliberte, E., Grace, J.B., Huston, M.A., Lambers, H., Teste, F.P., Turner, B.L., and Wardle, D.A., 2013, How does pedogenesis drive plant diversity?: Trends in Ecology and Evolution, v. 28, no. 6, p. 331-340, https://doi.org/10.1016/j.tree.2013.02.008.","productDescription":"10 p.","startPage":"331","endPage":"340","ipdsId":"IP-041446","costCenters":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"links":[{"id":473806,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1016/j.tree.2013.02.008","text":"External Repository"},{"id":272993,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":272984,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.tree.2013.02.008"}],"volume":"28","issue":"6","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51a71566e4b09db86f875c7f","contributors":{"authors":[{"text":"Laliberte, Etienne","contributorId":93802,"corporation":false,"usgs":true,"family":"Laliberte","given":"Etienne","email":"","affiliations":[],"preferred":false,"id":479111,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Grace, James B. 0000-0001-6374-4726 gracej@usgs.gov","orcid":"https://orcid.org/0000-0001-6374-4726","contributorId":884,"corporation":false,"usgs":true,"family":"Grace","given":"James","email":"gracej@usgs.gov","middleInitial":"B.","affiliations":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true},{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":479107,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Huston, Michael A.","contributorId":57351,"corporation":false,"usgs":true,"family":"Huston","given":"Michael","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":479109,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lambers, Hans","contributorId":80165,"corporation":false,"usgs":true,"family":"Lambers","given":"Hans","email":"","affiliations":[],"preferred":false,"id":479110,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Teste, Francois P.","contributorId":28511,"corporation":false,"usgs":true,"family":"Teste","given":"Francois","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":479108,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Turner, Benjamin L.","contributorId":106782,"corporation":false,"usgs":true,"family":"Turner","given":"Benjamin","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":479113,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Wardle, David A.","contributorId":94903,"corporation":false,"usgs":true,"family":"Wardle","given":"David","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":479112,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70046181,"text":"70046181 - 2013 - Winter climate change and coastal wetland foundation species: Salt marshes vs. mangrove forests in the southeastern United States","interactions":[],"lastModifiedDate":"2019-06-06T08:03:24","indexId":"70046181","displayToPublicDate":"2013-05-29T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1837,"text":"Global Change Biology","active":true,"publicationSubtype":{"id":10}},"title":"Winter climate change and coastal wetland foundation species: Salt marshes vs. mangrove forests in the southeastern United States","docAbstract":"We live in an era of unprecedented ecological change in which ecologists and natural resource managers are increasingly challenged to anticipate and prepare for the ecological effects of future global change. In this study, we investigated the potential effect of winter climate change upon salt marsh and mangrove forest foundation species in the southeastern United States. Our research addresses the following three questions: (1) What is the relationship between winter climate and the presence and abundance of mangrove forests relative to salt marshes; (2) How vulnerable are salt marshes to winter climate change-induced mangrove forest range expansion; and (3) What is the potential future distribution and relative abundance of mangrove forests under alternative winter climate change scenarios? We developed simple winter climate-based models to predict mangrove forest distribution and relative abundance using observed winter temperature data (1970–2000) and mangrove forest and salt marsh habitat data. Our results identify winter climate thresholds for salt marsh–mangrove forest interactions and highlight coastal areas in the southeastern United States (e.g., Texas, Louisiana, and parts of Florida) where relatively small changes in the intensity and frequency of extreme winter events could cause relatively dramatic landscape-scale ecosystem structural and functional change in the form of poleward mangrove forest migration and salt marsh displacement. The ecological implications of these marsh-to-mangrove forest conversions are poorly understood, but would likely include changes for associated fish and wildlife populations and for the supply of some ecosystem goods and services.","language":"English","publisher":"Wiley","doi":"10.1111/gcb.12126","usgsCitation":"Osland, M.J., Day, R.H., Doyle, T.W., and Enwright, N., 2013, Winter climate change and coastal wetland foundation species: Salt marshes vs. mangrove forests in the southeastern United States: Global Change Biology, v. 19, no. 5, p. 1482-1494, https://doi.org/10.1111/gcb.12126.","productDescription":"13 p.","startPage":"1482","endPage":"1494","ipdsId":"IP-041147","costCenters":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"links":[{"id":272996,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":272983,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1111/gcb.12126"}],"country":"United States","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ 172.5,18.9 ], [ 172.5,71.4 ], [ -67.0,71.4 ], [ -67.0,18.9 ], [ 172.5,18.9 ] ] ] } } ] }","volume":"19","issue":"5","noUsgsAuthors":false,"publicationDate":"2013-02-11","publicationStatus":"PW","scienceBaseUri":"51a71568e4b09db86f875c9b","contributors":{"authors":[{"text":"Osland, Michael J. 0000-0001-9902-8692 mosland@usgs.gov","orcid":"https://orcid.org/0000-0001-9902-8692","contributorId":3080,"corporation":false,"usgs":true,"family":"Osland","given":"Michael","email":"mosland@usgs.gov","middleInitial":"J.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"preferred":true,"id":479105,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Day, Richard H. 0000-0002-5959-7054 dayr@usgs.gov","orcid":"https://orcid.org/0000-0002-5959-7054","contributorId":2427,"corporation":false,"usgs":true,"family":"Day","given":"Richard","email":"dayr@usgs.gov","middleInitial":"H.","affiliations":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":479104,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Doyle, Thomas W. 0000-0001-5754-0671 doylet@usgs.gov","orcid":"https://orcid.org/0000-0001-5754-0671","contributorId":703,"corporation":false,"usgs":true,"family":"Doyle","given":"Thomas","email":"doylet@usgs.gov","middleInitial":"W.","affiliations":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"preferred":true,"id":479103,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Enwright, Nicholas 0000-0002-7887-3261","orcid":"https://orcid.org/0000-0002-7887-3261","contributorId":32435,"corporation":false,"usgs":true,"family":"Enwright","given":"Nicholas","affiliations":[],"preferred":false,"id":479106,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70046186,"text":"sir20135092 - 2013 - Analysis of 1997–2008 groundwater level changes in the upper Deschutes Basin, Central Oregon","interactions":[],"lastModifiedDate":"2013-05-29T21:25:07","indexId":"sir20135092","displayToPublicDate":"2013-05-29T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2013-5092","title":"Analysis of 1997–2008 groundwater level changes in the upper Deschutes Basin, Central Oregon","docAbstract":"Groundwater-level monitoring in the upper Deschutes Basin of central Oregon from 1997 to 2008 shows water-level declines in some places that are larger than might be expected from climate variations alone, raising questions regarding the influence of groundwater pumping, canal lining (which decreases recharge), and other human influences. Between the mid-1990s and mid-2000s, water levels in the central part of the basin near Redmond steadily declined as much as 14 feet. Water levels in the Cascade Range, in contrast, rose more than 20 feet from the mid-1990s to about 2000, and then declined into the mid-2000s, with little or no net change.\n\nAn existing U.S. Geological Survey regional groundwater-flow model was used to gain insights into groundwater-level changes from 1997 to 2008, and to determine the relative influence of climate, groundwater pumping, and irrigation canal lining on observed water-level trends. To utilize the model, input datasets had to be extended to include post-1997 changes in groundwater pumping, changes in recharge from precipitation, irrigation canal leakage, and deep percolation of applied irrigation water (also known as on-farm loss). Mean annual groundwater recharge from precipitation during the 1999–2008 period was 25 percent less than during the 1979–88 period because of drying climate conditions. This decrease in groundwater recharge is consistent with measured decreases in streamflow and discharge to springs. For example, the mean annual discharge of Fall River, which is a spring-fed stream, decreased 12 percent between the 1979–88 and 1999–2008 periods. Between the mid-1990s and late 2000s, groundwater pumping for public-supply and irrigation uses increased from about 32,500 to 52,000 acre-feet per year, partially because of population growth. Between 1997 and 2008, the rate of recharge from leaking irrigation canals decreased by about 58,000 acre-feet per year as a result of lining and piping of canals. Decreases in recharge from on-farm losses over the past decade were relatively small, approaching an estimated 1,000 acre-feet per year by the late 2000s. All these changes in the hydrologic budget contributed to declines in groundwater levels.\n\nGroundwater flow model simulations indicate that climate variations have the largest influence on groundwater levels throughout the upper Deschutes Basin, and that impacts from pumping and canal lining also contribute but are largely restricted to the central part of the basin that extends north from near Benham Falls to Lower Bridge, and east from Sisters to the community of Powell Butte. Outside of this central area, the water-level response from changes in pumping and irrigation canal leakage cannot be discerned from the larger response to climate-driven changes in recharge. Within this central area, where measured water-level declines have generally ranged from about 5 to 14 feet since the mid-1990s, climate variations are still the dominant factor influencing groundwater levels, accounting for approximately 60–70 percent of the measured declines. Post-1994 increases in groundwater pumping account for about 20–30 percent of the measured declines in the central part of the basin, depending on location, and decreases in recharge due to canal lining account for about 10 percent of the measured declines. Decreases in recharge from on-farm losses were simulated, but the effects were negligible compared to climate influences, groundwater pumping, and the effects of canal lining and piping.\n\nObservation well data and model simulation results indicate that water levels in the Cascade Range rose and declined tens of feet in response to wet and dry climate cycles over the past two decades. Water levels in the central part of the basin, in contrast, steadily declined during the same period, with the rate of decline lessening during wet periods. This difference is because the water-level response from recharge is damped as water moves (diffuses) from the principal recharge area in the Cascade Range to discharge points along the main stems of the Deschutes, Crooked, and Metolius Rivers in the central part of the basin. Water levels in the central part of the basin respond more to multi-decadal climate trends than shorter term changes.\n\nGroundwater-flow simulations show that the effects from increased pumping and decreased irrigation canal leakage extend south into the Bend area. However, the only wells presently monitored in the Bend area are heavily influenced by the Deschutes River, which dampens any response of water levels to external stresses such as groundwater pumping, changes in canal leakage, or climate variations.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20135092","collaboration":"Prepared in cooperation with the Oregon Water Resources Department","usgsCitation":"Gannett, M.W., and Lite, K.E., 2013, Analysis of 1997–2008 groundwater level changes in the upper Deschutes Basin, Central Oregon: U.S. Geological Survey Scientific Investigations Report 2013-5092, vi, 34 p., https://doi.org/10.3133/sir20135092.","productDescription":"vi, 34 p.","numberOfPages":"44","additionalOnlineFiles":"N","temporalStart":"1997-01-01","temporalEnd":"2008-12-31","costCenters":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"links":[{"id":272990,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20135092.jpg"},{"id":272988,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2013/5092/"},{"id":272989,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2013/5092/pdf/sir20135092.pdf"}],"country":"United States","state":"Oregon","otherGeospatial":"Deschutes Basin","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -124.61,42.0 ], [ -124.61,46.29 ], [ -116.46,46.29 ], [ -116.46,42.0 ], [ -124.61,42.0 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51a71551e4b09db86f875c5f","contributors":{"authors":[{"text":"Gannett, Marshall W. 0000-0003-2498-2427 mgannett@usgs.gov","orcid":"https://orcid.org/0000-0003-2498-2427","contributorId":2942,"corporation":false,"usgs":true,"family":"Gannett","given":"Marshall","email":"mgannett@usgs.gov","middleInitial":"W.","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":true,"id":479119,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lite, Kenneth E. Jr.","contributorId":37373,"corporation":false,"usgs":true,"family":"Lite","given":"Kenneth","suffix":"Jr.","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":479120,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70046145,"text":"70046145 - 2013 - Foraging area fidelity for Kemp's ridleys in the Gulf of Mexico","interactions":[],"lastModifiedDate":"2013-11-06T13:47:05","indexId":"70046145","displayToPublicDate":"2013-05-29T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1467,"text":"Ecology and Evolution","active":true,"publicationSubtype":{"id":10}},"title":"Foraging area fidelity for Kemp's ridleys in the Gulf of Mexico","docAbstract":"For many marine species, locations of key foraging areas are not well defined. We used satellite telemetry and switching state-space modeling (SSM) to identify distinct foraging areas used by Kemp's ridley turtles (Lepidochelys kempii) tagged after nesting during 1998–2011 at Padre Island National Seashore, Texas, USA (PAIS; N = 22), and Rancho Nuevo, Tamaulipas, Mexico (RN; N = 9). Overall, turtles traveled a mean distance of 793.1 km (±347.8 SD) to foraging sites, where 24 of 31 turtles showed foraging area fidelity (FAF) over time (N = 22 in USA, N = 2 in Mexico). Multiple turtles foraged along their migratory route, prior to arrival at their \"final\" foraging sites. We identified new foraging \"hotspots\" where adult female Kemp's ridley turtles spent 44% of their time during tracking (i.e., 2641/6009 tracking days in foraging mode). Nearshore Gulf of Mexico waters served as foraging habitat for all turtles tracked in this study; final foraging sites were located in water <68 m deep and a mean distance of 33.2 km (±25.3 SD) from the nearest mainland coast. Distance to release site, distance to mainland shore, annual mean sea surface temperature, bathymetry, and net primary production were significant predictors of sites where turtles spent large numbers of days in foraging mode. Spatial similarity of particular foraging sites selected by different turtles over the 13-year tracking period indicates that these areas represent critical foraging habitat, particularly in waters off Louisiana. Furthermore, the wide distribution of foraging sites indicates that a foraging corridor exists for Kemp's ridleys in the Gulf. Our results highlight the need for further study of environmental and bathymetric components of foraging sites and prey resources contained therein, as well as international cooperation to protect essential at-sea foraging habitats for this imperiled species.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Ecology and Evolution","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"John Wiley & Sons Ltd.","doi":"10.1002/ece3.594","usgsCitation":"Shaver, D.J., Hart, K.M., Fujisaki, I., Rubio, C., Sartain-Iverson, A.R., Peña, J., Burchfield, P.M., Gamez, D.G., and Ortiz, J., 2013, Foraging area fidelity for Kemp's ridleys in the Gulf of Mexico: Ecology and Evolution, v. 3, no. 7, p. 2002-2012, https://doi.org/10.1002/ece3.594.","productDescription":"11 p.","startPage":"2002","endPage":"2012","numberOfPages":"11","costCenters":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"links":[{"id":473809,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ece3.594","text":"Publisher Index Page"},{"id":272935,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":272934,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1002/ece3.594"}],"otherGeospatial":"Gulf Of Mexico","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -97.86,18.18 ], [ -97.86,30.4 ], [ -81.04,30.4 ], [ -81.04,18.18 ], [ -97.86,18.18 ] ] ] } } ] }","volume":"3","issue":"7","noUsgsAuthors":false,"publicationDate":"2013-05-28","publicationStatus":"PW","scienceBaseUri":"51a71565e4b09db86f875c73","contributors":{"authors":[{"text":"Shaver, Donna J.","contributorId":11104,"corporation":false,"usgs":true,"family":"Shaver","given":"Donna","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":479035,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hart, Kristen M. 0000-0002-5257-7974 kristen_hart@usgs.gov","orcid":"https://orcid.org/0000-0002-5257-7974","contributorId":1966,"corporation":false,"usgs":true,"family":"Hart","given":"Kristen","email":"kristen_hart@usgs.gov","middleInitial":"M.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":479033,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fujisaki, Ikuko","contributorId":31108,"corporation":false,"usgs":false,"family":"Fujisaki","given":"Ikuko","email":"","affiliations":[{"id":12557,"text":"University of Florida, FLREC","active":true,"usgs":false}],"preferred":false,"id":479036,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Rubio, Cynthia","contributorId":39277,"corporation":false,"usgs":true,"family":"Rubio","given":"Cynthia","email":"","affiliations":[],"preferred":false,"id":479039,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Sartain-Iverson, Autumn R. 0000-0002-8353-6745 asartain@usgs.gov","orcid":"https://orcid.org/0000-0002-8353-6745","contributorId":5477,"corporation":false,"usgs":true,"family":"Sartain-Iverson","given":"Autumn","email":"asartain@usgs.gov","middleInitial":"R.","affiliations":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"preferred":false,"id":479034,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Peña, Jaime","contributorId":34810,"corporation":false,"usgs":true,"family":"Peña","given":"Jaime","affiliations":[],"preferred":false,"id":479038,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Burchfield, Patrick M.","contributorId":47676,"corporation":false,"usgs":true,"family":"Burchfield","given":"Patrick","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":479040,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Gamez, Daniel Gomez","contributorId":32065,"corporation":false,"usgs":true,"family":"Gamez","given":"Daniel","email":"","middleInitial":"Gomez","affiliations":[],"preferred":false,"id":479037,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Ortiz, Jaime","contributorId":77447,"corporation":false,"usgs":true,"family":"Ortiz","given":"Jaime","email":"","affiliations":[],"preferred":false,"id":479041,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70044054,"text":"70044054 - 2013 - Genomic patterns of introgression in rainbow and westslope cutthroat trout illuminated by overlapping paired-end RAD sequencing","interactions":[],"lastModifiedDate":"2013-06-17T09:43:28","indexId":"70044054","displayToPublicDate":"2013-05-29T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2774,"text":"Molecular Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Genomic patterns of introgression in rainbow and westslope cutthroat trout illuminated by overlapping paired-end RAD sequencing","docAbstract":"Rapid and inexpensive methods for genomewide single nucleotide polymorphism (SNP) discovery and genotyping are urgently needed for population management and conservation. In hybridized populations, genomic techniques that can identify and genotype thousands of species-diagnostic markers would allow precise estimates of population- and individual-level admixture as well as identification of 'super invasive' alleles, which show elevated rates of introgression above the genomewide background (likely due to natural selection). Techniques like restriction-site-associated DNA (RAD) sequencing can discover and genotype large numbers of SNPs, but they have been limited by the length of continuous sequence data they produce with Illumina short-read sequencing. We present a novel approach, overlapping paired-end RAD sequencing, to generate RAD contigs of >300–400 bp. These contigs provide sufficient flanking sequence for design of high-throughput SNP genotyping arrays and strict filtering to identify duplicate paralogous loci. We applied this approach in five populations of native westslope cutthroat trout that previously showed varying (low) levels of admixture from introduced rainbow trout (RBT). We produced 77 141 RAD contigs and used these data to filter and genotype 3180 previously identified species-diagnostic SNP loci. Our population-level and individual-level estimates of admixture were generally consistent with previous microsatellite-based estimates from the same individuals. However, we observed slightly lower admixture estimates from genomewide markers, which might result from natural selection against certain genome regions, different genomic locations for microsatellites vs. RAD-derived SNPs and/or sampling error from the small number of microsatellite loci (n = 7). We also identified candidate adaptive super invasive alleles from RBT that had excessively high admixture proportions in hybridized cutthroat trout populations.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Molecular Ecology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Wiley","doi":"10.1111/mec.12239","usgsCitation":"Hohenlohe, P.A., Day, M.D., Amish, S.J., Miller, M.R., Kamps-Hughes, N., Boyer, M.C., Muhlfeld, C.C., Allendorf, F., Johnson, E.A., and Luikart, G., 2013, Genomic patterns of introgression in rainbow and westslope cutthroat trout illuminated by overlapping paired-end RAD sequencing: Molecular Ecology, v. 22, no. 11, p. 3002-3013, https://doi.org/10.1111/mec.12239.","productDescription":"12 p.","startPage":"3002","endPage":"3013","ipdsId":"IP-039490","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":473808,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://www.ncbi.nlm.nih.gov/pmc/articles/3664261","text":"External Repository"},{"id":272941,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":272940,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1111/mec.12239"}],"volume":"22","issue":"11","noUsgsAuthors":false,"publicationDate":"2013-02-21","publicationStatus":"PW","scienceBaseUri":"51a71565e4b09db86f875c77","contributors":{"authors":[{"text":"Hohenlohe, Paul A.","contributorId":46399,"corporation":false,"usgs":false,"family":"Hohenlohe","given":"Paul","email":"","middleInitial":"A.","affiliations":[{"id":12708,"text":"Institute for Bioinformatics and Evolutionary Studies, Department of Biological Sciences, University of Idaho, Moscow, ID 83844","active":true,"usgs":false}],"preferred":false,"id":474718,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Day, Mitch D.","contributorId":19867,"corporation":false,"usgs":true,"family":"Day","given":"Mitch","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":474716,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Amish, Stephen J.","contributorId":104799,"corporation":false,"usgs":false,"family":"Amish","given":"Stephen","email":"","middleInitial":"J.","affiliations":[{"id":5097,"text":"University of Montana, Division of Biological Sciences","active":true,"usgs":false}],"preferred":false,"id":474723,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Miller, Michael R.","contributorId":45796,"corporation":false,"usgs":false,"family":"Miller","given":"Michael","email":"","middleInitial":"R.","affiliations":[{"id":12709,"text":"Department of Animal Science, University of California, Davis, One Shields Avenue, Davis, CA 95616, USA","active":true,"usgs":false}],"preferred":false,"id":474717,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kamps-Hughes, Nick","contributorId":9945,"corporation":false,"usgs":true,"family":"Kamps-Hughes","given":"Nick","email":"","affiliations":[],"preferred":false,"id":474715,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Boyer, Matthew C.","contributorId":48468,"corporation":false,"usgs":false,"family":"Boyer","given":"Matthew","email":"","middleInitial":"C.","affiliations":[{"id":5133,"text":"Montana Fish Wildlife and Parks, Kalispell, Montana 59901","active":true,"usgs":false}],"preferred":false,"id":474719,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Muhlfeld, Clint C. 0000-0002-4599-4059 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