The Arctic Coastal Plain of northern Alaska is an area of strategic economic importance to the United States, is home to remote Native communities, and encompasses unique habitats of global significance. Coastal erosion along the Arctic coast is chronic, widespread, and may be accelerating, which threatens defense- and energy-related infrastructure, natural shoreline habitats, and Native communities. There is an increased demand for accurate information regarding past and present shoreline changes across the United States. To meet these national needs, the Coastal and Marine Geology Program of the U.S. Geological Survey is compiling existing reliable historical shoreline data along sandy shores of the conterminous United States and parts of Alaska and Hawaii under the National Assessment of Shoreline Change Project (hereafter referred to as the \"National Assessment project\";http://coastal.er.usgs.gov/shoreline-change/). A comprehensive database of digital vector shorelines and rates of shoreline change for Alaska, from the U.S.-Canadian border to Icy Cape, is presented in this report as part of the National Assessment project.
\nThere is no widely accepted standard for analyzing shoreline change. Existing shoreline data measurements and rate calculation methods vary from study to study and prevent combining results into state-wide or regional assessments. The impetus behind the National Assessment project was to develop a standardized method of measuring changes in shoreline position that is consistent from coast to coast. The goal was to facilitate the process of periodically and systematically updating the results in an internally consistent manner. A detailed report on shoreline change for the north coast of Alaska that contains a discussion of the data presented here is available and cited in section, \"Geospatial Data.\"
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20151030","usgsCitation":"Gibbs, A.E., Ohman, K.A., and Richmond, B.M., 2015, National assessment of shoreline change: a GIS compilation of vector shorelines and associated shoreline change data for the north coast of Alaska, U.S.-Canadian border to Icy Cape: U.S. Geological Survey Open-File Report 2015-1030, HTML Document, https://doi.org/10.3133/ofr20151030.","productDescription":"HTML Document","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-053360","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":305511,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20151030.jpg"},{"id":305509,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2015/1030/html/ofr2015-1030_title.html","text":"Report","linkFileType":{"id":5,"text":"html"},"description":"Report"},{"id":305510,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/of/2015/1048/","text":"Open-File Report 2015-1048","description":"Open-File Report 2015-1048"},{"id":305494,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2015/1030/"}],"country":"Canada, United States","state":"Alaska","otherGeospatial":"Icy Cape","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -162.94921875,\n 69.4575536150494\n ],\n [\n -162.94921875,\n 71.45515260247822\n ],\n [\n -141.0205078125,\n 71.45515260247822\n ],\n [\n -141.0205078125,\n 69.4575536150494\n ],\n [\n -162.94921875,\n 69.4575536150494\n ]\n ]\n ]\n }\n }\n ]\n}","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"55950122e4b0b6d21dd6cbb8","contributors":{"authors":[{"text":"Gibbs, Ann E. 0000-0002-0883-3774 agibbs@usgs.gov","orcid":"https://orcid.org/0000-0002-0883-3774","contributorId":2644,"corporation":false,"usgs":true,"family":"Gibbs","given":"Ann","email":"agibbs@usgs.gov","middleInitial":"E.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":563999,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ohman, Karen A.","contributorId":139262,"corporation":false,"usgs":false,"family":"Ohman","given":"Karen","email":"","middleInitial":"A.","affiliations":[{"id":12712,"text":"Michael Baker International","active":true,"usgs":false}],"preferred":false,"id":564000,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Richmond, Bruce M. 0000-0002-0056-5832 brichmond@usgs.gov","orcid":"https://orcid.org/0000-0002-0056-5832","contributorId":2459,"corporation":false,"usgs":true,"family":"Richmond","given":"Bruce","email":"brichmond@usgs.gov","middleInitial":"M.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":564001,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70150412,"text":"ofr20151122 - 2015 - Trench logs, terrestrial lidar system imagery, and radiocarbon data from the kilometer-62 site on the Greenville Fault, southeastern Alameda County, California, 2014","interactions":[],"lastModifiedDate":"2015-07-01T09:14:40","indexId":"ofr20151122","displayToPublicDate":"2015-07-01T10:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2015-1122","title":"Trench logs, terrestrial lidar system imagery, and radiocarbon data from the kilometer-62 site on the Greenville Fault, southeastern Alameda County, California, 2014","docAbstract":"In 2014, we investigated an abrupt 8.5-meter (m), right-laterally deflected stream channel located near the Greenville Fault in southeastern Alameda County, California (-121.56224° E, 37.53430° N) that we discovered using 0.5-m resolution, 2011 aerial lidar imagery flown along the active fault trace. Prior to trenching we surveyed the site using a terrestrial lidar system (TLS) to document the exact geomorphic expression of this deflected stream channel before excavating a trench adjacent to it. We trenched perpendicular to the fault hoping to document the prehistoric history of earthquake ruptures along the fault. However, the alluvial stratigraphy that we document in these trench logs shows conclusively that this trench did not expose any active fault trace. Using other local geomorphic evidence for the fault location, a straight fault scarp immediately north of this stream projects slightly upslope of the west end of our trench and may be the actual location of the active fault trace. Five radiocarbon samples establish age control for the alluvial sequence documented in the trench, which may in the future be useful in constraining the long-term slip rate of the Greenville Fault. The deflection had been caused by an abrupt nontectonic termination of unit u30, a relatively thick (0.15–0.35 m) silt that is more erosion resistant than the adjacent cohesionless sand and gravel.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20151122","usgsCitation":"Lienkaemper, J.J., DeLong, S.B., Avdievitch, N.N., Pickering, A.J., and Guilderson, T.P., 2015, Trench logs, terrestrial lidar system imagery, and radiocarbon data from the kilometer-62 site on the Greenville Fault, southeastern Alameda County, California, 2014: U.S. Geological Survey Open-File Report 2015-1122, 1 Sheet, https://doi.org/10.3133/ofr20151122.","productDescription":"1 Sheet","onlineOnly":"Y","additionalOnlineFiles":"N","temporalStart":"2014-01-01","temporalEnd":"2014-12-31","ipdsId":"IP-065482","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":305505,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20151122.gif"},{"id":305472,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2015/1122/"},{"id":305504,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2015/1122/pdf/ofr20151122.pdf","text":"Report","size":"3.8 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Report"}],"country":"United States","state":"California","county":"Alameda County","otherGeospatial":"Greenville Fault","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -121.7449951171875,\n 37.41816326969145\n ],\n [\n -121.7449951171875,\n 37.64468458716586\n ],\n [\n -121.3604736328125,\n 37.64468458716586\n ],\n [\n -121.3604736328125,\n 37.41816326969145\n ],\n [\n -121.7449951171875,\n 37.41816326969145\n ]\n ]\n ]\n }\n }\n ]\n}","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"55950124e4b0b6d21dd6cbc6","contributors":{"authors":[{"text":"Lienkaemper, James J. 0000-0002-7578-7042 jlienk@usgs.gov","orcid":"https://orcid.org/0000-0002-7578-7042","contributorId":1941,"corporation":false,"usgs":true,"family":"Lienkaemper","given":"James","email":"jlienk@usgs.gov","middleInitial":"J.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":563988,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"DeLong, Stephen B. 0000-0002-0945-2172 sdelong@usgs.gov","orcid":"https://orcid.org/0000-0002-0945-2172","contributorId":5240,"corporation":false,"usgs":true,"family":"DeLong","given":"Stephen","email":"sdelong@usgs.gov","middleInitial":"B.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":563989,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Avdievitch, Nikita N.","contributorId":143693,"corporation":false,"usgs":false,"family":"Avdievitch","given":"Nikita","email":"","middleInitial":"N.","affiliations":[{"id":15304,"text":"University of Tubingen, Wilhelmstrasse 56, Tugingen, GER 72076","active":true,"usgs":false}],"preferred":false,"id":563990,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Pickering, Alexandra J. 0000-0002-1281-6117 apickering@usgs.gov","orcid":"https://orcid.org/0000-0002-1281-6117","contributorId":5990,"corporation":false,"usgs":true,"family":"Pickering","given":"Alexandra","email":"apickering@usgs.gov","middleInitial":"J.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":563991,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Guilderson, Thomas P.","contributorId":59121,"corporation":false,"usgs":true,"family":"Guilderson","given":"Thomas","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":563992,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70148461,"text":"ofr20151113 - 2015 - Chemical mixtures and environmental effects: a pilot study to assess ecological exposure and effects in streams","interactions":[],"lastModifiedDate":"2015-07-01T08:56:34","indexId":"ofr20151113","displayToPublicDate":"2015-07-01T09:45:00","publicationYear":"2015","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2015-1113","title":"Chemical mixtures and environmental effects: a pilot study to assess ecological exposure and effects in streams","docAbstract":"Assessment and management of the risks of exposure to complex chemical mixtures in streams are priorities for human and environmental health organizations around the world. The current lack of information on the composition and variability of environmental mixtures and a limited understanding of their combined effects are fundamental obstacles to timely identification and prevention of adverse human and ecological effects of exposure. This report describes the design of a field-based study of the composition and biological activity of chemical mixtures in U.S. stream waters affected by a wide range of human activities and contaminant sources. The study is a collaborative effort by the U.S. Geological Survey and the U.S. Environmental Protection Agency. Scientists sampled 38 streams spanning 24 States and Puerto Rico. Thirty-four of the sites were located in watersheds impacted by multiple contaminant sources, including industrial and municipal wastewater discharges, crop and animal agricultural runoff, urban runoff, and other point and nonpoint contaminant sources. The remaining four sites were minimally development reference watersheds. All samples underwent comprehensive chemical and biological characterization, including sensitive and specific direct analysis for over 700 dissolved organic and inorganic chemicals and field parameters, identification of unknown contaminants (environmental diagnostics), and a variety of bioassays to evaluate biological activity and toxicity.
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source of some of the largest earthquakes and tsunamis, the history of its pre–twentieth century tsunamis is largely unknown west of the rupture zone of the great (magnitude, M 9.2) 1964 earthquake. Stratigraphy in core transects at two boggy lowland sites on Chirikof Island’s southwest coast preserves tsunami deposits dating from the postglacial to the twentieth century. In a 500-m-long basin 13–15 m above sea level and 400 m from the sea, 4 of 10 sandy to silty beds in a 3–5-m-thick sequence of freshwater peat were probably deposited by tsunamis. The freshwater peat sequence beneath a gently sloping alluvial fan 2 km to the east, 5–15 m above sea level and 550 m from the sea, contains 20 sandy to silty beds deposited since 3.5 ka; at least 13 were probably deposited by tsunamis. Although most of the sandy beds have consistent thicknesses (over distances of 10–265 m), sharp lower contacts, good sorting, and/or upward fining typical of tsunami deposits, the beds contain abundant freshwater diatoms, very few brackish-water diatoms, and no marine diatoms. Apparently, tsunamis traveling inland over low dunes and boggy lowland entrained largely freshwater diatoms. Abundant fragmented diatoms, and lake species in some sandy beds not found in host peat, were probably transported by tsunamis to elevations of >10 m at the eastern site. Single-aliquot regeneration optically stimulated luminescence dating of the third youngest bed is consistent with its having been deposited by the tsunami recorded at Russian hunting outposts in 1788, and with the second youngest bed being deposited by a tsunami during an upper plate earthquake in 1880. We infer from stratigraphy, 14C-dated peat deposition rates, and unpublished analyses of the island’s history that the 1938 tsunami may locally have reached an elevation of >10 m. As this is the first record of Aleutian tsunamis extending throughout the Holocene, we cannot estimate source earthquake locations or magnitudes for most tsunami-deposited beds. We infer that no more than 3 of the 23 possible tsunamis beds at both sites were deposited following upper plate faulting or submarine landslides independent of megathrust earthquakes. If so, the Semidi segment of the Alaska-Aleutian megathrust near Chirikof Island probably sent high tsunamis southward every 180–270 yr for at least the past 3500 yr.
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The methodology for US Congress-mandated national biological C sequestration potential assessment was used to evaluate ecosystem C dynamics in CONUS federal lands at present and in the future under three Intergovernmental Panel on Climate Change Special Report on Emission Scenarios (IPCC SRES) A1B, A2, and B1. The total ecosystem C stock was estimated as 11,613 Tg C in 2005 and projected to be 13,965 Tg C in 2050, an average increase of 19.4% from the baseline. The projected annual C sequestration rate (in kilograms of carbon per hectare per year) from 2006 to 2050 would be sinks of 620 and 228 for forests and grasslands, respectively, and C sources of 13 for shrublands. The federal lands’ contribution to the national ecosystem C budget could decrease from 23.3% in 2005 to 20.8% in 2050. The C sequestration potential in the future depends not only on the footprint of individual ecosystems but also on each federal agency’s land use and management. The results presented here update our current knowledge about the baseline ecosystem C stock and sequestration potential of federal lands, which would be useful for federal agencies to decide management practices to achieve the national greenhouse gas (GHG) mitigation goal.
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Water volumes used (injected) to hydraulically fracture over 263,859 oil and gas wells drilled between 2000 and 2014 were compiled and used to create the first U.S. map of hydraulic fracturing water use. Although median annual volumes of 15,275 m3 and 19,425 m3 of water per well was used to hydraulically fracture individual horizontal oil and gas wells, respectively, in 2014, about 42% of wells were actually either vertical or directional, which required less than 2600 m3 water per well. The highest average hydraulic fracturing water usage (10,000−36,620 m3 per well) in watersheds across the United States generally correlated with shale-gas areas (versus coalbed methane, tight oil, or tight gas) where the greatest proportion of hydraulically fractured wells were horizontally drilled, reflecting that the natural reservoir properties influence water use. This analysis also demonstrates that many oil and gas resources within a given basin are developed using a mix of horizontal, vertical, and some directional wells, explaining why large volume hydraulic fracturing water usage is not widespread. This spatial variability in hydraulic fracturing water use relates to the potential for environmental impacts such as water availability, water quality, wastewater disposal, and possible wastewater injection-induced earthquakes.
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","language":"English","publisher":"SME","usgsCitation":"Apodaca, L.E., 2015, Nitrogen-Ammonia, 2014: Mining Engineering, v. 67, no. 7, p. 31-31.","productDescription":"1 p.","startPage":"31","endPage":"31","ipdsId":"IP-064567","costCenters":[{"id":432,"text":"National Minerals Information Center","active":true,"usgs":true}],"links":[{"id":338926,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":338925,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://me.smenet.org/abstract.cfm?preview=1&articleID=6022&page=31"}],"volume":"67","issue":"7","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58df6ac5e4b02ff32c6aea51","contributors":{"authors":[{"text":"Apodaca, Lori E. lapodaca@usgs.gov","contributorId":1844,"corporation":false,"usgs":true,"family":"Apodaca","given":"Lori","email":"lapodaca@usgs.gov","middleInitial":"E.","affiliations":[{"id":432,"text":"National Minerals Information Center","active":true,"usgs":true}],"preferred":true,"id":687332,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70174152,"text":"70174152 - 2015 - Linking state-and-transition simulation and timber supply models for forest biomass production scenarios","interactions":[],"lastModifiedDate":"2018-12-20T12:54:49","indexId":"70174152","displayToPublicDate":"2015-07-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3893,"text":"AIMS Environmental Science","active":true,"publicationSubtype":{"id":10}},"title":"Linking state-and-transition simulation and timber supply models for forest biomass production scenarios","docAbstract":"We linked state-and-transition simulation models (STSMs) with an economics-based timber supply model to examine landscape dynamics in North Carolina through 2050 for three scenarios of forest biomass production. Forest biomass could be an important source of renewable energy in the future, but there is currently much uncertainty about how biomass production would impact landscapes. In the southeastern US, if forests become important sources of biomass for bioenergy, we expect increased land-use change and forest management. STSMs are ideal for simulating these landscape changes, but the amounts of change will depend on drivers such as timber prices and demand for forest land, which are best captured with forest economic models. We first developed state-and-transition model pathways in the ST-Sim software platform for 49 vegetation and land-use types that incorporated each expected type of landscape change. Next, for the three biomass production scenarios, the SubRegional Timber Supply Model (SRTS) was used to determine the annual areas of thinning and harvest in five broad forest types, as well as annual areas converted among those forest types, agricultural, and urban lands. The SRTS output was used to define area targets for STSMs in ST-Sim under two scenarios of biomass production and one baseline, business-as-usual scenario. We show that ST-Sim output matched SRTS targets in most cases. Landscape dynamics results indicate that, compared with the baseline scenario, forest biomass production leads to more forest and, specifically, more intensively managed forest on the landscape by 2050. Thus, the STSMs, informed by forest economics models, provide important information about potential landscape effects of bioenergy production.
","language":"English","publisher":"AIMS Press","doi":"10.3934/environsci.2015.2.180","usgsCitation":"Costanza, J., Abt, R.C., McKerrow, A., and Collazo, J., 2015, Linking state-and-transition simulation and timber supply models for forest biomass production scenarios: AIMS Environmental Science, v. 2, no. 2, p. 180-202, https://doi.org/10.3934/environsci.2015.2.180.","productDescription":"23 p.","startPage":"180","endPage":"202","ipdsId":"IP-063156","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":37226,"text":"Core Science Analytics, Synthesis, and Libraries","active":true,"usgs":true},{"id":38315,"text":"GAP Analysis Project","active":true,"usgs":true}],"links":[{"id":471975,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3934/environsci.2015.2.180","text":"Publisher Index Page"},{"id":328360,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"2","issue":"2","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57d28bade4b0571647d0f934","contributors":{"authors":[{"text":"Costanza, Jennifer","contributorId":74689,"corporation":false,"usgs":true,"family":"Costanza","given":"Jennifer","affiliations":[],"preferred":false,"id":648330,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Abt, Robert C.","contributorId":174475,"corporation":false,"usgs":false,"family":"Abt","given":"Robert","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":648331,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"McKerrow, Alexa 0000-0002-8312-2905 amckerrow@usgs.gov","orcid":"https://orcid.org/0000-0002-8312-2905","contributorId":127753,"corporation":false,"usgs":true,"family":"McKerrow","given":"Alexa","email":"amckerrow@usgs.gov","affiliations":[{"id":208,"text":"Core Science Analytics and Synthesis","active":true,"usgs":true}],"preferred":true,"id":648332,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Collazo, Jaime jaime_collazo@usgs.gov","contributorId":2613,"corporation":false,"usgs":true,"family":"Collazo","given":"Jaime","email":"jaime_collazo@usgs.gov","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":false,"id":640999,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70155184,"text":"70155184 - 2015 - Can orchards help connect Mediterranean ecosystems? Animal movement data alter conservation priorities","interactions":[],"lastModifiedDate":"2015-08-05T11:12:12","indexId":"70155184","displayToPublicDate":"2015-07-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":737,"text":"American Midland Naturalist","active":true,"publicationSubtype":{"id":10}},"title":"Can orchards help connect Mediterranean ecosystems? Animal movement data alter conservation priorities","docAbstract":"As natural habitats become fragmented by human activities, animals must increasingly move through human-dominated systems, particularly agricultural landscapes. Mapping areas important for animal movement has therefore become a key part of conservation planning. Models of landscape connectivity are often parameterized using expert opinion and seldom distinguish between the risks and barriers presented by different crop types. Recent research, however, suggests different crop types, such as row crops and orchards, differ in the degree to which they facilitate or impede species movements. Like many mammalian carnivores, bobcats (Lynx rufus) are sensitive to fragmentation and loss of connectivity between habitat patches. We investigated how distinguishing between different agricultural land covers might change conclusions about the relative conservation importance of different land uses in a Mediterranean ecosystem. Bobcats moved relatively quickly in row crops but relatively slowly in orchards, at rates similar to those in natural habitats of woodlands and scrub. We found that parameterizing a connectivity model using empirical data on bobcat movements in agricultural lands and other land covers, instead of parameterizing the model using habitat suitability indices based on expert opinion, altered locations of predicted animal movement routes. These results emphasize that differentiating between types of agriculture can alter conservation planning outcomes.
","language":"English","publisher":"University of Notre Dame","doi":"10.1674/0003-0031-174.1.105","usgsCitation":"Nogeire, T.M., Davis, F., Crooks, K.R., McRae, B.H., Lyren, L.M., and Boydston, E.E., 2015, Can orchards help connect Mediterranean ecosystems? Animal movement data alter conservation priorities: American Midland Naturalist, v. 174, no. 1, p. 105-116, https://doi.org/10.1674/0003-0031-174.1.105.","productDescription":"12 p.","startPage":"105","endPage":"116","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-052372","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":471968,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://escholarship.org/uc/item/0ps3x1b0","text":"External Repository"},{"id":306426,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","county":"Orange County","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -117.72262573242188,\n 33.592887216626245\n ],\n [\n -117.72262573242188,\n 33.71862851510573\n ],\n [\n -117.57843017578126,\n 33.71862851510573\n ],\n [\n -117.57843017578126,\n 33.592887216626245\n ],\n [\n -117.72262573242188,\n 33.592887216626245\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"174","issue":"1","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"55c333aae4b033ef52106a81","contributors":{"authors":[{"text":"Nogeire, Theresa M.","contributorId":83434,"corporation":false,"usgs":true,"family":"Nogeire","given":"Theresa","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":565002,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Davis, Frank W.","contributorId":36894,"corporation":false,"usgs":true,"family":"Davis","given":"Frank W.","affiliations":[],"preferred":false,"id":565003,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Crooks, Kevin R.","contributorId":51137,"corporation":false,"usgs":false,"family":"Crooks","given":"Kevin","email":"","middleInitial":"R.","affiliations":[{"id":6621,"text":"Colorado State University","active":true,"usgs":false}],"preferred":false,"id":565004,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"McRae, Brad H.","contributorId":145697,"corporation":false,"usgs":false,"family":"McRae","given":"Brad","email":"","middleInitial":"H.","affiliations":[{"id":7041,"text":"The Nature Conservancy","active":true,"usgs":false}],"preferred":false,"id":565005,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Lyren, Lisa M. llyren@usgs.gov","contributorId":2398,"corporation":false,"usgs":true,"family":"Lyren","given":"Lisa","email":"llyren@usgs.gov","middleInitial":"M.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":565001,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Boydston, Erin E. 0000-0002-8452-835X eboydston@usgs.gov","orcid":"https://orcid.org/0000-0002-8452-835X","contributorId":1705,"corporation":false,"usgs":true,"family":"Boydston","given":"Erin","email":"eboydston@usgs.gov","middleInitial":"E.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":565000,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70186036,"text":"70186036 - 2015 - Rare Earths in 2014","interactions":[],"lastModifiedDate":"2017-03-31T09:59:09","indexId":"70186036","displayToPublicDate":"2015-07-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2755,"text":"Mining Engineering","active":true,"publicationSubtype":{"id":10}},"title":"Rare Earths in 2014","docAbstract":"No abstract available.
","language":"English","publisher":"SME","usgsCitation":"Gambogi, J., 2015, Rare Earths in 2014: Mining Engineering, v. 67, no. 7, p. 31-31.","productDescription":"1 p.","startPage":"31","endPage":"31","ipdsId":"IP-066866","costCenters":[{"id":432,"text":"National Minerals Information Center","active":true,"usgs":true}],"links":[{"id":338898,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":338897,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://me.smenet.org/abstract.cfm?preview=1&articleID=6022&page=31"}],"volume":"67","issue":"7","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58df6ac3e4b02ff32c6aea4b","contributors":{"authors":[{"text":"Gambogi, Joseph 0000-0002-5719-2280 jgambogi@usgs.gov","orcid":"https://orcid.org/0000-0002-5719-2280","contributorId":4424,"corporation":false,"usgs":true,"family":"Gambogi","given":"Joseph","email":"jgambogi@usgs.gov","affiliations":[{"id":432,"text":"National Minerals Information Center","active":true,"usgs":true}],"preferred":false,"id":687430,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70187424,"text":"70187424 - 2015 - Early Holocene Great Salt Lake","interactions":[],"lastModifiedDate":"2017-05-02T14:51:22","indexId":"70187424","displayToPublicDate":"2015-07-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3218,"text":"Quaternary Research","active":true,"publicationSubtype":{"id":10}},"title":"Early Holocene Great Salt Lake","docAbstract":"Shorelines and surficial deposits (including buried forest-floor mats and organic-rich wetland sediments) show that Great Salt Lake did not rise higher than modern lake levels during the earliest Holocene (11.5–10.2 cal ka BP; 10–9 14C ka BP). During that period, finely laminated, organic-rich muds (sapropel) containing brine-shrimp cysts and pellets and interbedded sodium-sulfate salts were deposited on the lake floor. Sapropel deposition was probably caused by stratification of the water column — a freshwater cap possibly was formed by groundwater, which had been stored in upland aquifers during the immediately preceding late-Pleistocene deep-lake cycle (Lake Bonneville), and was actively discharging on the basin floor. A climate characterized by low precipitation and runoff, combined with local areas of groundwater discharge in piedmont settings, could explain the apparent conflict between evidence for a shallow lake (a dry climate) and previously published interpretations for a moist climate in the Great Salt Lake basin of the eastern Great Basin.
","language":"English","publisher":"Cambridge University Press","doi":"10.1016/j.yqres.2015.05.001","usgsCitation":"Oviatt, C., Madsen, D.B., Miller, D., Thompson, R.S., and McGeehin, J.P., 2015, Early Holocene Great Salt Lake: Quaternary Research, v. 84, no. 1, p. 57-68, https://doi.org/10.1016/j.yqres.2015.05.001.","productDescription":"12 p.","startPage":"57","endPage":"68","ipdsId":"IP-064151","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":340752,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Utah","otherGeospatial":"Great Salt Lake","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -113.20037841796875,\n 40.60978237983301\n ],\n [\n -111.8023681640625,\n 40.60978237983301\n ],\n [\n -111.8023681640625,\n 41.73033005046653\n ],\n [\n -113.20037841796875,\n 41.73033005046653\n ],\n [\n -113.20037841796875,\n 40.60978237983301\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"84","issue":"1","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2017-01-20","publicationStatus":"PW","scienceBaseUri":"59099aafe4b0fc4e449157f8","contributors":{"authors":[{"text":"Oviatt, Charles G.","contributorId":13503,"corporation":false,"usgs":true,"family":"Oviatt","given":"Charles G.","affiliations":[],"preferred":false,"id":694001,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Madsen, David B.","contributorId":191727,"corporation":false,"usgs":false,"family":"Madsen","given":"David","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":694002,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Miller, David M. 0000-0003-3711-0441 dmiller@usgs.gov","orcid":"https://orcid.org/0000-0003-3711-0441","contributorId":140769,"corporation":false,"usgs":true,"family":"Miller","given":"David M.","email":"dmiller@usgs.gov","affiliations":[{"id":309,"text":"Geology and Geophysics Science Center","active":true,"usgs":true},{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":694000,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Thompson, Robert S. 0000-0001-9287-2954 rthompson@usgs.gov","orcid":"https://orcid.org/0000-0001-9287-2954","contributorId":891,"corporation":false,"usgs":true,"family":"Thompson","given":"Robert","email":"rthompson@usgs.gov","middleInitial":"S.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":694003,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"McGeehin, John P. 0000-0002-5320-6091 mcgeehin@usgs.gov","orcid":"https://orcid.org/0000-0002-5320-6091","contributorId":130967,"corporation":false,"usgs":true,"family":"McGeehin","given":"John","email":"mcgeehin@usgs.gov","middleInitial":"P.","affiliations":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"preferred":true,"id":694004,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70188037,"text":"70188037 - 2015 - Parameter estimation for groundwater models under uncertain irrigation data","interactions":[],"lastModifiedDate":"2017-05-31T14:13:05","indexId":"70188037","displayToPublicDate":"2015-07-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3825,"text":"Groundwater","active":true,"publicationSubtype":{"id":10}},"title":"Parameter estimation for groundwater models under uncertain irrigation data","docAbstract":"The success of modeling groundwater is strongly influenced by the accuracy of the model parameters that are used to characterize the subsurface system. However, the presence of uncertainty and possibly bias in groundwater model source/sink terms may lead to biased estimates of model parameters and model predictions when the standard regression-based inverse modeling techniques are used. This study first quantifies the levels of bias in groundwater model parameters and predictions due to the presence of errors in irrigation data. Then, a new inverse modeling technique called input uncertainty weighted least-squares (IUWLS) is presented for unbiased estimation of the parameters when pumping and other source/sink data are uncertain. The approach uses the concept of generalized least-squares method with the weight of the objective function depending on the level of pumping uncertainty and iteratively adjusted during the parameter optimization process. We have conducted both analytical and numerical experiments, using irrigation pumping data from the Republican River Basin in Nebraska, to evaluate the performance of ordinary least-squares (OLS) and IUWLS calibration methods under different levels of uncertainty of irrigation data and calibration conditions. The result from the OLS method shows the presence of statistically significant (p < 0.05) bias in estimated parameters and model predictions that persist despite calibrating the models to different calibration data and sample sizes. However, by directly accounting for the irrigation pumping uncertainties during the calibration procedures, the proposed IUWLS is able to minimize the bias effectively without adding significant computational burden to the calibration processes.
","language":"English","publisher":"Wiley","doi":"10.1111/gwat.12235","usgsCitation":"Demissie, Y., Valocchi, A.J., Cai, X., Brozovic, N., Senay, G., and Gebremichael, M., 2015, Parameter estimation for groundwater models under uncertain irrigation data: Groundwater, v. 53, no. 4, p. 614-625, https://doi.org/10.1111/gwat.12235.","productDescription":"12 p.","startPage":"614","endPage":"625","ipdsId":"IP-057423","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":341951,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"53","issue":"4","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationDate":"2014-07-12","publicationStatus":"PW","scienceBaseUri":"592fd63ee4b0e9bd0ea896fd","contributors":{"authors":[{"text":"Demissie, Yonas","contributorId":192369,"corporation":false,"usgs":false,"family":"Demissie","given":"Yonas","email":"","affiliations":[],"preferred":false,"id":696798,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Valocchi, Albert J.","contributorId":25062,"corporation":false,"usgs":true,"family":"Valocchi","given":"Albert","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":696799,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cai, Ximing","contributorId":149230,"corporation":false,"usgs":false,"family":"Cai","given":"Ximing","email":"","affiliations":[{"id":17685,"text":"University of Illinois, Champagne-Urbana","active":true,"usgs":false}],"preferred":false,"id":696800,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Brozovic, Nicholas","contributorId":192552,"corporation":false,"usgs":false,"family":"Brozovic","given":"Nicholas","email":"","affiliations":[],"preferred":false,"id":696801,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Senay, Gabriel B. 0000-0002-8810-8539 senay@usgs.gov","orcid":"https://orcid.org/0000-0002-8810-8539","contributorId":166812,"corporation":false,"usgs":true,"family":"Senay","given":"Gabriel","email":"senay@usgs.gov","middleInitial":"B.","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true},{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":true,"id":696290,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Gebremichael, Mekonnen","contributorId":147882,"corporation":false,"usgs":false,"family":"Gebremichael","given":"Mekonnen","email":"","affiliations":[],"preferred":false,"id":696802,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70173448,"text":"70173448 - 2015 - Spatial and temporal variability in growth of southern flounder (Paralichthys lethostigma)","interactions":[],"lastModifiedDate":"2016-06-20T12:50:02","indexId":"70173448","displayToPublicDate":"2015-07-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1661,"text":"Fisheries Research","active":true,"publicationSubtype":{"id":10}},"title":"Spatial and temporal variability in growth of southern flounder (Paralichthys lethostigma)","docAbstract":"Delineation of stock structure is important for understanding the ecology and management of many fish populations, particularly those with wide-ranging distributions and high levels of harvest. Southern flounder (Paralichthys lethostigma) is a popular commercial and recreational species along the southeast Atlantic coast and Gulf of Mexico, USA. Recent studies have provided genetic and otolith morphology evidence that the Gulf of Mexico and Atlantic Ocean stocks differ. Using age and growth data from four states (Texas, Alabama, South Carolina, and North Carolina) we expanded upon the traditional von Bertalanffy model in order to compare growth rates of putative geographic stocks of southern flounder. We improved the model fitting process by adding a hierarchical Bayesian framework to allow each parameter to vary spatially or temporally as a random effect, as well as log transforming the three model parameters (L∞, K, andt0). Multiple comparisons of parameters showed that growth rates varied (even within states) for females, but less for males. Growth rates were also consistent through time, when long-term data were available. Since within-basin populations are thought to be genetically well-mixed, our results suggest that consistent small-scale environmental conditions (i.e., within estuaries) likely drive growth rates and should be considered when developing broader scale management plans.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.fishres.2015.03.009","usgsCitation":"Midway, S.R., Wagner, T., Arnott, S.A., Biondo, P., Martinez-Andrade, F., and Wadsworth, T.F., 2015, Spatial and temporal variability in growth of southern flounder (Paralichthys lethostigma): Fisheries Research, v. 167, p. 323-332, https://doi.org/10.1016/j.fishres.2015.03.009.","productDescription":"10 p.","startPage":"323","endPage":"332","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-057170","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":323997,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"167","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"576913e7e4b07657d19ff26e","contributors":{"authors":[{"text":"Midway, Stephen R.","contributorId":172159,"corporation":false,"usgs":false,"family":"Midway","given":"Stephen","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":639801,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wagner, Tyler 0000-0003-1726-016X twagner@usgs.gov","orcid":"https://orcid.org/0000-0003-1726-016X","contributorId":1050,"corporation":false,"usgs":true,"family":"Wagner","given":"Tyler","email":"twagner@usgs.gov","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":637142,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Arnott, Stephen A.","contributorId":172168,"corporation":false,"usgs":false,"family":"Arnott","given":"Stephen","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":639802,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Biondo, Patrick","contributorId":172169,"corporation":false,"usgs":false,"family":"Biondo","given":"Patrick","email":"","affiliations":[],"preferred":false,"id":639803,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Martinez-Andrade, Fernando","contributorId":172170,"corporation":false,"usgs":false,"family":"Martinez-Andrade","given":"Fernando","email":"","affiliations":[],"preferred":false,"id":639804,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Wadsworth, Thomas F.","contributorId":172171,"corporation":false,"usgs":false,"family":"Wadsworth","given":"Thomas","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":639805,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70175563,"text":"70175563 - 2015 - Sea level and turbidity controls on mangrove soil surface elevation change","interactions":[],"lastModifiedDate":"2017-05-03T13:32:27","indexId":"70175563","displayToPublicDate":"2015-07-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1587,"text":"Estuarine, Coastal and Shelf Science","active":true,"publicationSubtype":{"id":10}},"title":"Sea level and turbidity controls on mangrove soil surface elevation change","docAbstract":"Increases in sea level are a threat to seaward fringing mangrove forests if levels of inundation exceed the physiological tolerance of the trees; however, tidal wetlands can keep pace with sea level rise if soil surface elevations can increase at the same pace as sea level rise. Sediment accretion on the soil surface and belowground production of roots are proposed to increase with increasing sea level, enabling intertidal habitats to maintain their position relative to mean sea level, but there are few tests of these predictions in mangrove forests. Here we used variation in sea level and the availability of sediments caused by seasonal and inter-annual variation in the intensity of La Nina-El Nino to assess the effects of increasing sea level on surface elevation gains and contributing processes (accretion on the surface, subsidence and root growth) in mangrove forests. We found that soil surface elevation increased with mean sea level (which varied over 250 mm during the study) and with turbidity at sites where fine sediment in the water column is abundant. In contrast, where sediments were sandy, rates of surface elevation gain were high, but not significantly related to variation in turbidity, and were likely to be influenced by other factors that deliver sand to the mangrove forest. Root growth was not linked to soil surface elevation gains, although it was associated with reduced shallow subsidence, and therefore may contribute to the capacity of mangroves to keep pace with sea level rise. Our results indicate both surface (sedimentation) and subsurface (root growth) processes can influence mangrove capacity to keep pace with sea level rise within the same geographic location, and that current models of tidal marsh responses to sea level rise capture the major feature of the response of mangroves where fine, but not coarse, sediments are abundant.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.ecss.2014.11.026","usgsCitation":"Lovelock, C.E., Fernanda Adame, M., Bennion, V., Hayes, M., Reef, R., Santini, N., and Cahoon, D.R., 2015, Sea level and turbidity controls on mangrove soil surface elevation change: Estuarine, Coastal and Shelf Science, v. 153, p. 1-9, https://doi.org/10.1016/j.ecss.2014.11.026.","productDescription":"9 p.","startPage":"1","endPage":"9","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-059638","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":326619,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"153","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57b58b58e4b03bcb0104bc64","contributors":{"authors":[{"text":"Lovelock, Catherine E.","contributorId":64787,"corporation":false,"usgs":true,"family":"Lovelock","given":"Catherine","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":645715,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fernanda Adame, Maria","contributorId":131125,"corporation":false,"usgs":false,"family":"Fernanda Adame","given":"Maria","email":"","affiliations":[],"preferred":false,"id":645716,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bennion, Vicki","contributorId":12174,"corporation":false,"usgs":true,"family":"Bennion","given":"Vicki","email":"","affiliations":[],"preferred":false,"id":645717,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hayes, Matthew","contributorId":173749,"corporation":false,"usgs":false,"family":"Hayes","given":"Matthew","affiliations":[],"preferred":false,"id":645718,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Reef, Ruth","contributorId":44826,"corporation":false,"usgs":true,"family":"Reef","given":"Ruth","email":"","affiliations":[],"preferred":false,"id":645719,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Santini, Nadia","contributorId":131126,"corporation":false,"usgs":false,"family":"Santini","given":"Nadia","email":"","affiliations":[],"preferred":false,"id":645720,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Cahoon, Donald R. 0000-0002-2591-5667 dcahoon@usgs.gov","orcid":"https://orcid.org/0000-0002-2591-5667","contributorId":3791,"corporation":false,"usgs":true,"family":"Cahoon","given":"Donald","email":"dcahoon@usgs.gov","middleInitial":"R.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":645721,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70159730,"text":"70159730 - 2015 - Up in arms: Immune and nervous system response to sea star wasting disease","interactions":[],"lastModifiedDate":"2015-11-19T11:21:33","indexId":"70159730","displayToPublicDate":"2015-07-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2980,"text":"PLoS ONE","active":true,"publicationSubtype":{"id":10}},"title":"Up in arms: Immune and nervous system response to sea star wasting disease","docAbstract":"Echinoderms, positioned taxonomically at the base of deuterostomes, provide an important system for the study of the evolution of the immune system. However, there is little known about the cellular components and genes associated with echinoderm immunity. The 2013–2014 sea star wasting disease outbreak is an emergent, rapidly spreading disease, which has led to large population declines of asteroids in the North American Pacific. While evidence suggests that the signs of this disease, twisting arms and lesions, may be attributed to a viral infection, the host response to infection is still poorly understood. In order to examine transcriptional responses of the sea star Pycnopodia helianthoides to sea star wasting disease, we injected a viral sized fraction (0.2 μm) homogenate prepared from symptomatic P. helianthoides into apparently healthy stars. Nine days following injection, when all stars were displaying signs of the disease, specimens were sacrificed and coelomocytes were extracted for RNA-seq analyses. A number of immune genes, including those involved in Toll signaling pathways, complement cascade, melanization response, and arachidonic acid metabolism, were differentially expressed. Furthermore, genes involved in nervous system processes and tissue remodeling were also differentially expressed, pointing to transcriptional changes underlying the signs of sea star wasting disease. The genomic resources presented here not only increase understanding of host response to sea star wasting disease, but also provide greater insight into the mechanisms underlying immune function in echinoderms.
","language":"English","publisher":"PLOS","doi":"10.1371/journal.pone.0133053","usgsCitation":"Fuess, L.E., Eiselord, M.E., Closek, C.J., Tracy, A.M., Mauntz, R., Gignoux-Wolfsohn, S., Moritsch, M.M., Yoshioka, R., Burge, C.A., Harvell, D., Friedman, C., Hershberger, P., and Roberts, S.B., 2015, Up in arms: Immune and nervous system response to sea star wasting disease: PLoS ONE, v. 10, no. 7, e0133053: 16 p., https://doi.org/10.1371/journal.pone.0133053.","productDescription":"e0133053: 16 p.","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-063508","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":471984,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0133053","text":"Publisher Index Page"},{"id":311567,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"10","issue":"7","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2015-07-15","publicationStatus":"PW","scienceBaseUri":"564f00cde4b064dd1d095596","contributors":{"authors":[{"text":"Fuess, Lauren E","contributorId":149974,"corporation":false,"usgs":false,"family":"Fuess","given":"Lauren","email":"","middleInitial":"E","affiliations":[{"id":17868,"text":"Department of Biology, University of Texas at Arlington, Arlington, TX 76019","active":true,"usgs":false}],"preferred":false,"id":580232,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Eiselord, Morgan E.","contributorId":149975,"corporation":false,"usgs":false,"family":"Eiselord","given":"Morgan","email":"","middleInitial":"E.","affiliations":[{"id":17869,"text":"Department of Ecology & Evolutionary Biology, Cornell University, Ithaca, NY 14853","active":true,"usgs":false}],"preferred":false,"id":580233,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Closek, Collin J.","contributorId":149976,"corporation":false,"usgs":false,"family":"Closek","given":"Collin","email":"","middleInitial":"J.","affiliations":[{"id":17870,"text":"Department of Biology, Pennsylvania State University, University Park, PA 16803","active":true,"usgs":false}],"preferred":false,"id":580234,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Tracy, Allison M.","contributorId":149977,"corporation":false,"usgs":false,"family":"Tracy","given":"Allison","email":"","middleInitial":"M.","affiliations":[{"id":17869,"text":"Department of Ecology & Evolutionary Biology, Cornell University, Ithaca, NY 14853","active":true,"usgs":false}],"preferred":false,"id":580235,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Mauntz, Ruth","contributorId":149978,"corporation":false,"usgs":false,"family":"Mauntz","given":"Ruth","email":"","affiliations":[{"id":17871,"text":"Donald P. Shiley Bioscience Center, San Diego, CA 92115","active":true,"usgs":false}],"preferred":false,"id":580236,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Gignoux-Wolfsohn, Sarah","contributorId":149979,"corporation":false,"usgs":false,"family":"Gignoux-Wolfsohn","given":"Sarah","email":"","affiliations":[{"id":17872,"text":"Marine Science Center, Northeastern University, Nahant, MA, 01908","active":true,"usgs":false}],"preferred":false,"id":580237,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Moritsch, Monica M","contributorId":149980,"corporation":false,"usgs":false,"family":"Moritsch","given":"Monica","email":"","middleInitial":"M","affiliations":[{"id":17873,"text":"Department of Ecology and Evolutionary Biology, University of California, Santa Cruz CA 95060","active":true,"usgs":false}],"preferred":false,"id":580238,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Yoshioka, Reyn","contributorId":149981,"corporation":false,"usgs":false,"family":"Yoshioka","given":"Reyn","affiliations":[{"id":17869,"text":"Department of Ecology & Evolutionary Biology, Cornell University, Ithaca, NY 14853","active":true,"usgs":false}],"preferred":false,"id":580239,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Burge, Colleen A.","contributorId":34814,"corporation":false,"usgs":true,"family":"Burge","given":"Colleen","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":580240,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Harvell, Drew","contributorId":149982,"corporation":false,"usgs":false,"family":"Harvell","given":"Drew","email":"","affiliations":[{"id":17869,"text":"Department of Ecology & Evolutionary Biology, Cornell University, Ithaca, NY 14853","active":true,"usgs":false}],"preferred":false,"id":580241,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Friedman, Carolyn S.","contributorId":13890,"corporation":false,"usgs":true,"family":"Friedman","given":"Carolyn S.","affiliations":[],"preferred":false,"id":580242,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Hershberger, Paul K. 0000-0002-2261-7760 phershberger@usgs.gov","orcid":"https://orcid.org/0000-0002-2261-7760","contributorId":140131,"corporation":false,"usgs":true,"family":"Hershberger","given":"Paul K.","email":"phershberger@usgs.gov","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":false,"id":580231,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Roberts, Steven B.","contributorId":69586,"corporation":false,"usgs":true,"family":"Roberts","given":"Steven","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":580243,"contributorType":{"id":1,"text":"Authors"},"rank":13}]}} ,{"id":70193232,"text":"70193232 - 2015 - Statistical analysis of soil geochemical data to identify pathfinders associated with mineral deposits: An example from the Coles Hill uranium deposit, Virginia, USA","interactions":[],"lastModifiedDate":"2022-10-31T16:53:41.817888","indexId":"70193232","displayToPublicDate":"2015-07-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2302,"text":"Journal of Geochemical Exploration","active":true,"publicationSubtype":{"id":10}},"title":"Statistical analysis of soil geochemical data to identify pathfinders associated with mineral deposits: An example from the Coles Hill uranium deposit, Virginia, USA","docAbstract":"Soil geochemical anomalies can be used to identify pathfinders in exploration for ore deposits. In this study, compositional data analysis is used with multivariate statistical methods to analyse soil geochemical data collected from the Coles Hill uranium deposit, Virginia, USA, to identify pathfinders associated with this deposit. Elemental compositions and relationships were compared between the collected Coles Hill soil and reference soil samples extracted from a regional subset of a national-scale geochemical survey. Results show that pathfinders for the Coles Hill deposit include light rare earth elements (La and Ce), which, when normalised by their Al content, are correlated with U/Al, and elevated Th/Al values, which are not correlated with U/Al, supporting decoupling of U from Th during soil generation. These results can be used in genetic and weathering models of the Coles Hill deposit, and can also be applied to future prospecting for similar U deposits in the eastern United States, and in regions with similar geological/climatic conditions.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.gexplo.2014.12.012","usgsCitation":"Levitan, D.M., Zipper, C.E., Donovan, P., Schreiber, M.E., Seal, R.R., Engle, M.A., Chermak, J.A., Bodnar, R.J., Johnson, D.K., and Aylor, J.G., 2015, Statistical analysis of soil geochemical data to identify pathfinders associated with mineral deposits: An example from the Coles Hill uranium deposit, Virginia, USA: Journal of Geochemical Exploration, v. 154, p. 238-251, https://doi.org/10.1016/j.gexplo.2014.12.012.","productDescription":"14 p.","startPage":"238","endPage":"251","ipdsId":"IP-056717","costCenters":[{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"links":[{"id":349148,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Virginia","otherGeospatial":"Coles Hill uranium deposit","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -79.3333,\n 36.9\n ],\n [\n -79.3333,\n 36.85\n ],\n [\n -79.2667,\n 36.85\n ],\n [\n -79.2667,\n 36.9\n ],\n [\n -79.3333,\n 36.9\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"154","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a60fe80e4b06e28e9c25307","contributors":{"authors":[{"text":"Levitan, Denise M.","contributorId":199138,"corporation":false,"usgs":false,"family":"Levitan","given":"Denise","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":718298,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Zipper, Carl E.","contributorId":198104,"corporation":false,"usgs":false,"family":"Zipper","given":"Carl","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":718299,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Donovan, Patricia","contributorId":199139,"corporation":false,"usgs":false,"family":"Donovan","given":"Patricia","email":"","affiliations":[],"preferred":false,"id":718300,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Schreiber, Madeline E.","contributorId":138959,"corporation":false,"usgs":false,"family":"Schreiber","given":"Madeline","email":"","middleInitial":"E.","affiliations":[{"id":12594,"text":"Department of Geosciences, Virginia Tech, Blacksburg, VA","active":true,"usgs":false}],"preferred":false,"id":718301,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Seal, Robert R. 0000-0003-0901-2529 rseal@usgs.gov","orcid":"https://orcid.org/0000-0003-0901-2529","contributorId":193011,"corporation":false,"usgs":true,"family":"Seal","given":"Robert","email":"rseal@usgs.gov","middleInitial":"R.","affiliations":[{"id":250,"text":"Eastern Water Science Field Team","active":true,"usgs":true},{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":718297,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Engle, Mark A. 0000-0001-5258-7374 engle@usgs.gov","orcid":"https://orcid.org/0000-0001-5258-7374","contributorId":584,"corporation":false,"usgs":true,"family":"Engle","given":"Mark","email":"engle@usgs.gov","middleInitial":"A.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":722887,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Chermak, John A.","contributorId":199140,"corporation":false,"usgs":false,"family":"Chermak","given":"John","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":718302,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Bodnar, Robert J.","contributorId":199141,"corporation":false,"usgs":false,"family":"Bodnar","given":"Robert","email":"","middleInitial":"J.","affiliations":[{"id":12694,"text":"Virginia Tech","active":true,"usgs":false}],"preferred":false,"id":718303,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Johnson, Daniel K.","contributorId":200614,"corporation":false,"usgs":false,"family":"Johnson","given":"Daniel","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":722888,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Aylor, Joseph G. Jr.","contributorId":199142,"corporation":false,"usgs":false,"family":"Aylor","given":"Joseph","suffix":"Jr.","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":718304,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}} ,{"id":70193444,"text":"70193444 - 2015 - Variables associated with detection probability, detection latency, and behavioral responses of Golden-winged Warblers (Vermivora chrysoptera)","interactions":[],"lastModifiedDate":"2017-11-11T13:33:09","indexId":"70193444","displayToPublicDate":"2015-07-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3551,"text":"The Condor","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Variables associated with detection probability, detection latency, and behavioral responses of Golden-winged Warblers (Vermivora chrysoptera)","title":"Variables associated with detection probability, detection latency, and behavioral responses of Golden-winged Warblers (Vermivora chrysoptera)","docAbstract":"Detection probability during point counts and its associated variables are important considerations for bird population monitoring and have implications for conservation planning by influencing population estimates. During 2008–2009, we evaluated variables hypothesized to be associated with detection probability, detection latency, and behavioral responses of male Golden-winged Warblers in pastures in the Monongahela National Forest, West Virginia, USA. This is the first study of male Golden-winged Warbler detection probability, detection latency, or behavioral response based on point-count sampling with known territory locations and identities for all males. During 3-min passive point counts, detection probability decreased as distance to a male's territory and time since sunrise increased. During 3-min point counts with playback, detection probability decreased as distance to a male's territory increased, but remained constant as time since sunrise increased. Detection probability was greater when point counts included type 2 compared with type 1 song playback, particularly during the first 2 min of type 2 song playback. Golden-winged Warblers primarily use type 1 songs (often zee bee bee bee with a higher-pitched first note) in intersexual contexts and type 2 songs (strident, rapid stutter ending with a lower-pitched buzzy note) in intrasexual contexts. Distance to a male's territory, ordinal date, and song playback type were associated with the type of behavioral response to song playback. Overall, ~2 min of type 2 song playback may increase the efficacy of point counts for monitoring populations of Golden-winged Warblers by increasing the conspicuousness of males for visual identification and offsetting the consequences of surveying later in the morning. Because playback may interfere with the ability to detect distant males, it is important to follow playback with a period of passive listening. Our results indicate that even in relatively open pasture vegetation, detection probability of male Golden-winged Warblers is imperfect and highly variable.
","language":"English","publisher":"American Ornithological Society","doi":"10.1650/CONDOR-14-142.1","usgsCitation":"Aldinger, K.R., and Wood, P.B., 2015, Variables associated with detection probability, detection latency, and behavioral responses of Golden-winged Warblers (Vermivora chrysoptera): The Condor, v. 117, no. 3, p. 364-375, https://doi.org/10.1650/CONDOR-14-142.1.","productDescription":"12 p.","startPage":"364","endPage":"375","ipdsId":"IP-029454","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":471980,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1650/condor-14-142.1","text":"Publisher Index Page"},{"id":348605,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"117","issue":"3","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a07eb50e4b09af898c8ccd7","contributors":{"authors":[{"text":"Aldinger, Kyle R.","contributorId":171892,"corporation":false,"usgs":false,"family":"Aldinger","given":"Kyle","email":"","middleInitial":"R.","affiliations":[{"id":34541,"text":"West Virginia Cooperative Fish and Wildlife Research Unit","active":true,"usgs":false},{"id":12432,"text":"West Virginia University","active":true,"usgs":false}],"preferred":false,"id":719075,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wood, Petra B. 0000-0002-8575-1705 pbwood@usgs.gov","orcid":"https://orcid.org/0000-0002-8575-1705","contributorId":199090,"corporation":false,"usgs":true,"family":"Wood","given":"Petra","email":"pbwood@usgs.gov","middleInitial":"B.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":721672,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70180313,"text":"70180313 - 2015 - Enhanced microbial coalbed methane generation: A review of research, commercial activity, and remaining challenges","interactions":[],"lastModifiedDate":"2017-04-25T16:41:06","indexId":"70180313","displayToPublicDate":"2015-07-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2033,"text":"International Journal of Coal Geology","active":true,"publicationSubtype":{"id":10}},"title":"Enhanced microbial coalbed methane generation: A review of research, commercial activity, and remaining challenges","docAbstract":"Coalbed methane (CBM) makes up a significant portion of the world’s natural gas resources. The discovery that approximately 20% of natural gas is microbial in origin has led to interest in microbially enhanced CBM (MECoM), which involves stimulating microorganisms to produce additional CBM from existing production wells. This paper reviews current laboratory and field research on understanding processes and reservoir conditions which are essential for microbial CBM generation, the progress of efforts to stimulate microbial methane generation in coal beds, and key remaining knowledge gaps. Research has been primarily focused on identifying microbial communities present in areas of CBM generation and attempting to determine their function, in-situ reservoir conditions that are most favorable for microbial CBM generation, and geochemical indicators of metabolic pathways of methanogenesis (i.e., acetoclastic or hydrogenotrophic methanogenesis). Meanwhile, researchers at universities, government agencies, and companies have focused on four primary MECoM strategies: 1) microbial stimulation (i.e., addition of nutrients to stimulate native microbes); 2) microbial augmentation (i.e., addition of microbes not native to or abundant in the reservoir of interest); 3) physically increasing microbial access to coal and distribution of amendments; and 4) chemically increasing the bioavailability of coal organics. Most companies interested in MECoM have pursued microbial stimulation: Luca Technologies, Inc., successfully completed a pilot scale field test of their stimulation strategy, while two others, Ciris Energy and Next Fuel, Inc., have undertaken smaller scale field tests. Several key knowledge gaps remain that need to be addressed before MECoM strategies can be implemented commercially. Little is known about the bacterial community responsible for coal biodegradation and how these microorganisms may be stimulated to enhance microbial methanogenesis. In addition, research is needed to understand what fraction of coal is available for biodegradation, and methods need to be developed to determine the extent of in-situ coal biodegradation by MECoM processes for monitoring changes to coal quality. Questions also remain about how well field-scale pilot tests will scale to commercial production, how often amendments will need to be added to maintain new methane generation, and how well MECoM strategies transfer between coal basins with different formation water geochemistries and coal ranks. Addressing these knowledge gaps will be key in determining the feasibility and commercial viability of MECoM technology.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.coal.2015.04.013","usgsCitation":"Ritter, D.J., Vinson, D.S., Barnhart, E.P., Akob, D.M., Fields, M.W., Cunningham, A.B., Orem, W.H., and McIntosh, J.C., 2015, Enhanced microbial coalbed methane generation: A review of research, commercial activity, and remaining challenges: International Journal of Coal Geology, v. 146, p. 28-41, https://doi.org/10.1016/j.coal.2015.04.013.","productDescription":"14 p.","startPage":"28","endPage":"41","ipdsId":"IP-065234","costCenters":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true},{"id":400,"text":"Montana Water Science Center","active":false,"usgs":true},{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"links":[{"id":471974,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://scholarworks.montana.edu/xmlui/handle/1/11535","text":"External Repository"},{"id":334138,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"146","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"588c6a8ee4b08c8121c9090a","contributors":{"authors":[{"text":"Ritter, Daniel J.","contributorId":139869,"corporation":false,"usgs":false,"family":"Ritter","given":"Daniel","email":"","middleInitial":"J.","affiliations":[{"id":13301,"text":"Department of Hydrology and Water Resources, University of Arizona, Tucson, Arizona","active":true,"usgs":false}],"preferred":false,"id":661188,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Vinson, David S.","contributorId":172390,"corporation":false,"usgs":false,"family":"Vinson","given":"David","email":"","middleInitial":"S.","affiliations":[{"id":25392,"text":"Department of Geography and Earth Science, University of North Carolina at Charlotte, North Carolina, USA","active":true,"usgs":false}],"preferred":false,"id":661189,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Barnhart, Elliott P. 0000-0002-8788-8393 epbarnhart@usgs.gov","orcid":"https://orcid.org/0000-0002-8788-8393","contributorId":5385,"corporation":false,"usgs":true,"family":"Barnhart","given":"Elliott","email":"epbarnhart@usgs.gov","middleInitial":"P.","affiliations":[{"id":5050,"text":"WY-MT Water Science Center","active":true,"usgs":true}],"preferred":true,"id":661190,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Akob, Denise M. 0000-0003-1534-3025 dakob@usgs.gov","orcid":"https://orcid.org/0000-0003-1534-3025","contributorId":4980,"corporation":false,"usgs":true,"family":"Akob","given":"Denise","email":"dakob@usgs.gov","middleInitial":"M.","affiliations":[{"id":5058,"text":"Office of the Chief Scientist for Water","active":true,"usgs":true},{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":661191,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Fields, Matthew W.","contributorId":172391,"corporation":false,"usgs":false,"family":"Fields","given":"Matthew","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":661192,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Cunningham, Al B.","contributorId":178823,"corporation":false,"usgs":false,"family":"Cunningham","given":"Al","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":661193,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Orem, William H. 0000-0003-4990-0539 borem@usgs.gov","orcid":"https://orcid.org/0000-0003-4990-0539","contributorId":577,"corporation":false,"usgs":true,"family":"Orem","given":"William","email":"borem@usgs.gov","middleInitial":"H.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":661194,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"McIntosh, Jennifer C. 0000-0001-5055-4202","orcid":"https://orcid.org/0000-0001-5055-4202","contributorId":150557,"corporation":false,"usgs":false,"family":"McIntosh","given":"Jennifer","email":"","middleInitial":"C.","affiliations":[{"id":6624,"text":"University of Arizona, Laboratory of Tree-Ring Research","active":true,"usgs":false}],"preferred":false,"id":661195,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70191095,"text":"70191095 - 2015 - Diverting lava flows in the lab","interactions":[],"lastModifiedDate":"2017-09-26T11:46:23","indexId":"70191095","displayToPublicDate":"2015-07-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2845,"text":"Nature Geoscience","active":true,"publicationSubtype":{"id":10}},"title":"Diverting lava flows in the lab","docAbstract":"Recent volcanic eruptions in Hawai'i, Iceland and Cape Verde highlight the challenges of mitigating hazards when lava flows threaten infrastructure. Diversion barriers are the most common form of intervention, but historical attempts to divert lava flows have met with mixed success and there has been little systematic analysis of optimal barrier design. We examine the interaction of viscous flows of syrup and molten basalt with barriers in the laboratory. We find that flows thicken immediately upslope of an obstacle, forming a localized bow wave that can overtop barriers. Larger bow waves are generated by faster flows and by obstacles oriented at a high angle to the flow direction. The geometry of barriers also influences flow behaviour. Barriers designed to split or dam flows will slow flow advance, but cause the flow to widen, whereas oblique barriers can effectively divert flows, but may also accelerate flow advance. We argue that to be successful, mitigation of lava-flow hazards must incorporate the dynamics of lava flow–obstacle interactions into barrier design. The same generalizations apply to the effect of natural topographic features on flow geometry and advance rates.
","language":"English","publisher":"Nature Publishing Group ","doi":"10.1038/ngeo2470","usgsCitation":"Dietterich, H.R., Cashman, K., Rust, A.C., and Lev, E., 2015, Diverting lava flows in the lab: Nature Geoscience, v. 8, p. 494-496, https://doi.org/10.1038/ngeo2470.","productDescription":"3 p.","startPage":"494","endPage":"496","ipdsId":"IP-062976","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":346092,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"8","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2015-06-30","publicationStatus":"PW","scienceBaseUri":"59cb6735e4b017cf3141c6ab","contributors":{"authors":[{"text":"Dietterich, Hannah R. 0000-0001-7898-4343 hdietterich@usgs.gov","orcid":"https://orcid.org/0000-0001-7898-4343","contributorId":194354,"corporation":false,"usgs":true,"family":"Dietterich","given":"Hannah","email":"hdietterich@usgs.gov","middleInitial":"R.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":711160,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cashman, Katharine V.","contributorId":40097,"corporation":false,"usgs":false,"family":"Cashman","given":"Katharine V.","affiliations":[],"preferred":false,"id":711161,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rust, Alison C.","contributorId":196700,"corporation":false,"usgs":false,"family":"Rust","given":"Alison","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":711162,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lev, Einat 0000-0002-8174-0558","orcid":"https://orcid.org/0000-0002-8174-0558","contributorId":194355,"corporation":false,"usgs":false,"family":"Lev","given":"Einat","email":"","affiliations":[{"id":27369,"text":"Lamont-Doherty Earth Observatory at Columbia University","active":true,"usgs":false}],"preferred":false,"id":711163,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70192560,"text":"70192560 - 2015 - Opinion: Endogenizing culture in sustainability science research and policy","interactions":[],"lastModifiedDate":"2017-11-27T12:46:57","indexId":"70192560","displayToPublicDate":"2015-07-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3165,"text":"Proceedings of the National Academy of Sciences of the United States of America","active":true,"publicationSubtype":{"id":10}},"title":"Opinion: Endogenizing culture in sustainability science research and policy","docAbstract":"Integrating the analysis of natural and social systems to achieve sustainability has been an international scientific goal for years (1, 2). However, full integration has proven challenging, especially in regard to the role of culture (3), which is often missing from the complex sustainability equation. To enact policies and practices that can achieve sustainability, researchers and policymakers must do a better job of accounting for culture, difficult though this task may be.
The concept of culture is complex, with hundreds of definitions that for years have generated disagreement among social scientists (4). Understood at the most basic level, culture constitutes shared values, beliefs, and norms through which people “see,” interpret, or give meaning to ideas, actions, and environments. Culture is often used synonymously with “worldviews” or “cosmologies” (5, 6) to explain the patterned ways of assigning meanings and interpretations among individuals within groups. Used in this way, culture has been found to have only limited empirical support as an explanation of human risk perception (7, 8) and environmentalism (9).
","language":"English","publisher":"National Academy of Sciences of the United States of America","doi":"10.1073/pnas.1510010112","usgsCitation":"Caldas, M.M., Sanderson, M.R., Mather, M.E., Daniels, M.D., Bergtold, J.S., Aistrup, J., Heier Stamm, J.L., Haukos, D.A., Douglas-Mankin, K., Sheshukov, A.Y., and Lopez-Carr, D., 2015, Opinion: Endogenizing culture in sustainability science research and policy: Proceedings of the National Academy of Sciences of the United States of America, v. 112, no. 27, p. 8157-8159, https://doi.org/10.1073/pnas.1510010112.","productDescription":"3 p.","startPage":"8157","endPage":"8159","ipdsId":"IP-060354","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":471978,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1073/pnas.1510010112","text":"External Repository"},{"id":349364,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"112","issue":"27","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationDate":"2015-07-07","publicationStatus":"PW","scienceBaseUri":"5a60fe80e4b06e28e9c2530b","contributors":{"authors":[{"text":"Caldas, Marcellus M.","contributorId":200844,"corporation":false,"usgs":false,"family":"Caldas","given":"Marcellus","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":723563,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sanderson, Matthew R.","contributorId":200845,"corporation":false,"usgs":false,"family":"Sanderson","given":"Matthew","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":723564,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mather, Martha E. 0000-0003-3027-0215 mather@usgs.gov","orcid":"https://orcid.org/0000-0003-3027-0215","contributorId":2580,"corporation":false,"usgs":true,"family":"Mather","given":"Martha","email":"mather@usgs.gov","middleInitial":"E.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":723565,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Daniels, Melinda D.","contributorId":166701,"corporation":false,"usgs":false,"family":"Daniels","given":"Melinda","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":723566,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bergtold, Jason S.","contributorId":200846,"corporation":false,"usgs":false,"family":"Bergtold","given":"Jason","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":723567,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Aistrup, Joseph","contributorId":200847,"corporation":false,"usgs":false,"family":"Aistrup","given":"Joseph","email":"","affiliations":[],"preferred":false,"id":723568,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Heier Stamm, Jessica L.","contributorId":200848,"corporation":false,"usgs":false,"family":"Heier Stamm","given":"Jessica","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":723569,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Haukos, David A. 0000-0001-5372-9960 dhaukos@usgs.gov","orcid":"https://orcid.org/0000-0001-5372-9960","contributorId":3664,"corporation":false,"usgs":true,"family":"Haukos","given":"David","email":"dhaukos@usgs.gov","middleInitial":"A.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":716196,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Douglas-Mankin, Kyle R. 0000-0002-3155-3666","orcid":"https://orcid.org/0000-0002-3155-3666","contributorId":200849,"corporation":false,"usgs":false,"family":"Douglas-Mankin","given":"Kyle R.","affiliations":[],"preferred":false,"id":723570,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Sheshukov, Aleksey Y.","contributorId":172092,"corporation":false,"usgs":false,"family":"Sheshukov","given":"Aleksey","email":"","middleInitial":"Y.","affiliations":[],"preferred":false,"id":723571,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Lopez-Carr, David","contributorId":193003,"corporation":false,"usgs":false,"family":"Lopez-Carr","given":"David","email":"","affiliations":[],"preferred":false,"id":723572,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}} ,{"id":70177800,"text":"70177800 - 2015 - Use of dynamic occupancy models to assess the response of Darters (Teleostei: Percidae) to varying hydrothermal conditions in a southeastern United States tailwater","interactions":[],"lastModifiedDate":"2016-10-21T15:00:24","indexId":"70177800","displayToPublicDate":"2015-07-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3301,"text":"River Research and Applications","active":true,"publicationSubtype":{"id":10}},"title":"Use of dynamic occupancy models to assess the response of Darters (Teleostei: Percidae) to varying hydrothermal conditions in a southeastern United States tailwater","docAbstract":"During the past 100 years, most large rivers in North America have been altered for flood control, hydropower, navigation or water supply development. Although these activities clearly provide important human services, their associated environmental disturbances can profoundly affect stream-dwelling organisms. We used dynamic multi-species occupancy models combined with a trait-based approach to estimate the influence of site-level and species-level characteristics on patch dynamic rates for 15 darter species native to the Elk River, a large, flow-regulated Tennessee River tributary in Tennessee and Alabama. Dynamic occupancy modelling results indicated that for every 2.5 °C increase in stream temperature, darters were 3.94 times more likely to colonize previously unoccupied stream reaches. Additionally, large-bodied darter species were 3.72 times more likely to colonize stream reaches compared with small-bodied species, but crevice-spawning darter species were 5.24 times less likely to colonize previously unoccupied stream reaches. In contrast, darters were 2.21 times less likely to become locally extinct for every 2.5 °C increase in stream temperature, but high stream discharge conditions elevated the risk of local extinction. Lastly, the presence of populations in neighbouring upstream study reaches contributed to a lower risk of extinction, whereas the presence of populations in neighbouring downstream study reaches contributed to higher rates of colonization. Our study demonstrates the application of a trait-based approach combined with a metapopulation framework to assess the patch dynamics of darters in a regulated river. Results from our study will provide a baseline for evaluating the ecological consequences of alternative dam operations.
","language":"English","publisher":"Wiley","doi":"10.1002/rra.2766","usgsCitation":"Shea, C., Bettoli, P.W., Potoka, K., Saylor, C.F., and Shute, P.W., 2015, Use of dynamic occupancy models to assess the response of Darters (Teleostei: Percidae) to varying hydrothermal conditions in a southeastern United States tailwater: River Research and Applications, v. 31, no. 6, p. 676-691, https://doi.org/10.1002/rra.2766.","productDescription":"16 p.","startPage":"676","endPage":"691","ipdsId":"IP-043451","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":330325,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"31","issue":"6","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationDate":"2014-05-13","publicationStatus":"PW","scienceBaseUri":"5810c6e9e4b0f497e797345b","chorus":{"doi":"10.1002/rra.2766","url":"http://dx.doi.org/10.1002/rra.2766","publisher":"Wiley-Blackwell","authors":"Shea C. P., Bettoli P. W., Potoka K. M., Saylor C. F., Shute P. W.","journalName":"River Research and Applications","publicationDate":"5/13/2014","auditedOn":"7/24/2015"},"contributors":{"authors":[{"text":"Shea, C.P.","contributorId":92885,"corporation":false,"usgs":true,"family":"Shea","given":"C.P.","email":"","affiliations":[],"preferred":false,"id":651833,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bettoli, Phillip William pbettoli@usgs.gov","contributorId":1919,"corporation":false,"usgs":true,"family":"Bettoli","given":"Phillip","email":"pbettoli@usgs.gov","middleInitial":"William","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":651823,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Potoka, K. M.","contributorId":176185,"corporation":false,"usgs":false,"family":"Potoka","given":"K. M.","affiliations":[],"preferred":false,"id":651834,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Saylor, C. F.","contributorId":176186,"corporation":false,"usgs":false,"family":"Saylor","given":"C.","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":651835,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Shute, P. W.","contributorId":176187,"corporation":false,"usgs":false,"family":"Shute","given":"P.","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":651836,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70176520,"text":"70176520 - 2015 - Use of structured decision making to identify monitoring variables and management priorities for salt marsh ecosystems","interactions":[],"lastModifiedDate":"2017-05-03T13:12:54","indexId":"70176520","displayToPublicDate":"2015-07-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1584,"text":"Estuaries and Coasts","active":true,"publicationSubtype":{"id":10}},"title":"Use of structured decision making to identify monitoring variables and management priorities for salt marsh ecosystems","docAbstract":"Most salt marshes in the USA have been degraded by human activities, and coastal managers are faced with complex choices among possible actions to restore or enhance ecosystem integrity. We applied structured decision making (SDM) to guide selection of monitoring variables and management priorities for salt marshes within the National Wildlife Refuge System in the northeastern USA. In general, SDM is a systematic process for decomposing a decision into its essential elements. We first engaged stakeholders in clarifying regional salt marsh decision problems, defining objectives and attributes to evaluate whether objectives are achieved, and developing a pool of alternative management actions for achieving objectives. Through this process, we identified salt marsh attributes that were applicable to monitoring National Wildlife Refuges on a regional scale and that targeted management needs. We then analyzed management decisions within three salt marsh units at Prime Hook National Wildlife Refuge, coastal Delaware, as a case example of prioritizing management alternatives. Values for salt marsh attributes were estimated from 2 years of baseline monitoring data and expert opinion. We used linear value modeling to aggregate multiple attributes into a single performance score for each alternative, constrained optimization to identify alternatives that maximized total management benefits subject to refuge-wide cost constraints, and used graphical analysis to identify the optimal set of alternatives for the refuge. SDM offers an efficient, transparent approach for integrating monitoring into management practice and improving the quality of management decisions.
","language":"English","publisher":"Springer","doi":"10.1007/s12237-014-9822-5","usgsCitation":"Neckles, H.A., Lyons, J., Guntenspergen, G.R., Shriver, W.G., and Adamowicz, S.C., 2015, Use of structured decision making to identify monitoring variables and management priorities for salt marsh ecosystems: Estuaries and Coasts, v. 38, no. 4, p. 1215-1232, https://doi.org/10.1007/s12237-014-9822-5.","productDescription":"18 p.","startPage":"1215","endPage":"1232","ipdsId":"IP-050872","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":328759,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"38","issue":"4","noUsgsAuthors":false,"publicationDate":"2014-05-20","publicationStatus":"PW","scienceBaseUri":"57f7ee36e4b0bc0bec09e915","contributors":{"authors":[{"text":"Neckles, Hilary A. 0000-0002-5662-2314 hneckles@usgs.gov","orcid":"https://orcid.org/0000-0002-5662-2314","contributorId":3821,"corporation":false,"usgs":true,"family":"Neckles","given":"Hilary","email":"hneckles@usgs.gov","middleInitial":"A.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":649085,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lyons, James E.","contributorId":35461,"corporation":false,"usgs":true,"family":"Lyons","given":"James E.","affiliations":[],"preferred":false,"id":649086,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Guntenspergen, Glenn R. 0000-0002-8593-0244 glenn_guntenspergen@usgs.gov","orcid":"https://orcid.org/0000-0002-8593-0244","contributorId":2885,"corporation":false,"usgs":true,"family":"Guntenspergen","given":"Glenn","email":"glenn_guntenspergen@usgs.gov","middleInitial":"R.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":649087,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Shriver, W. Gregory","contributorId":174711,"corporation":false,"usgs":false,"family":"Shriver","given":"W.","email":"","middleInitial":"Gregory","affiliations":[],"preferred":false,"id":649088,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Adamowicz, Susan C.","contributorId":174712,"corporation":false,"usgs":false,"family":"Adamowicz","given":"Susan","email":"","middleInitial":"C.","affiliations":[{"id":6987,"text":"U.S. Fish and Wildlife Sevice","active":true,"usgs":false}],"preferred":true,"id":649089,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70182824,"text":"70182824 - 2015 - Paleodischarge of the Mojave River, southwestern U.S.A, investigated with single-pebble measurements of 10Be","interactions":[],"lastModifiedDate":"2017-03-01T13:00:29","indexId":"70182824","displayToPublicDate":"2015-07-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1820,"text":"Geosphere","active":true,"publicationSubtype":{"id":10}},"title":"Paleodischarge of the Mojave River, southwestern U.S.A, investigated with single-pebble measurements of 10Be","docAbstract":"The paleohydrology of ephemeral stream systems is an important constraint on paleoclimatic conditions in arid environments, but remains difficult to constrain quantitatively. For example, sedimentary records of the size and extent of pluvial lakes in the Mojave Desert have been used as a proxy for Quaternary climate variability. Although the delivery mechanisms of this additional water are still being debated, it is generally agreed that the discharge of the Mojave River, which supplied water for several Pleistocene pluvial lakes along its course, must have been significantly greater during lake high stands. We used the 10Be concentrations of 10 individual quartzite pebbles sourced from the San Bernardino Mountains and collected from a ~25 ka strath terrace of the Mojave River near Barstow, Calif., to test whether pebble ages record the timing of large paleodischarge of the Mojave River. Our exposure ages indicate that periods of discharge large enough to transport pebble-sized sediment occurred at least four times over the past ~240 ky; individual pebble ages cluster into four groups with exposure ages of 24.82 ± 2.52 ka (n=3), 55.79 ± 2.59 ka (n=2), 99.14 ± 6.04 ka (n=4) and 239.9 ± 52.16 ka (n=1). These inferred large discharge events occurred during both glacial and interglacial conditions. We demonstrate that bedload materials provide information about the frequency and duration of transport events in river systems. This approach could be further improved with the addition of additional measurements of one or more cosmogenic nuclides coupled with models of river discharge and pebble transport.","language":"English","publisher":"Geological Society of America","doi":"10.1130/GES01134.1","usgsCitation":"Cyr, A.J., Miller, D., and Mahan, S.A., 2015, Paleodischarge of the Mojave River, southwestern U.S.A, investigated with single-pebble measurements of 10Be: Geosphere, v. 11, no. 4, p. 1158-1171, https://doi.org/10.1130/GES01134.1.","productDescription":"14 p.","startPage":"1158","endPage":"1171","ipdsId":"IP-055448","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":471977,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1130/ges01134.1","text":"Publisher Index Page"},{"id":336756,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"11","issue":"4","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2015-07-15","publicationStatus":"PW","scienceBaseUri":"58b7eba9e4b01ccd5500bb27","contributors":{"authors":[{"text":"Cyr, Andrew J. 0000-0003-2293-5395 acyr@usgs.gov","orcid":"https://orcid.org/0000-0003-2293-5395","contributorId":3539,"corporation":false,"usgs":true,"family":"Cyr","given":"Andrew","email":"acyr@usgs.gov","middleInitial":"J.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":673906,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Miller, David M. 0000-0003-3711-0441 dmiller@usgs.gov","orcid":"https://orcid.org/0000-0003-3711-0441","contributorId":140769,"corporation":false,"usgs":true,"family":"Miller","given":"David M.","email":"dmiller@usgs.gov","affiliations":[{"id":309,"text":"Geology and Geophysics Science Center","active":true,"usgs":true},{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":673907,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mahan, Shannon A. 0000-0001-5214-7774 smahan@usgs.gov","orcid":"https://orcid.org/0000-0001-5214-7774","contributorId":147159,"corporation":false,"usgs":true,"family":"Mahan","given":"Shannon","email":"smahan@usgs.gov","middleInitial":"A.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":673908,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70182467,"text":"70182467 - 2015 - Tree mortality predicted from drought-induced vascular damage","interactions":[],"lastModifiedDate":"2017-02-23T12:46:12","indexId":"70182467","displayToPublicDate":"2015-07-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2845,"text":"Nature Geoscience","active":true,"publicationSubtype":{"id":10}},"title":"Tree mortality predicted from drought-induced vascular damage","docAbstract":"The projected responses of forest ecosystems to warming and drying associated with twenty-first-century climate change vary widely from resiliency to widespread tree mortality1, 2, 3. Current vegetation models lack the ability to account for mortality of overstorey trees during extreme drought owing to uncertainties in mechanisms and thresholds causing mortality4, 5. Here we assess the causes of tree mortality, using field measurements of branch hydraulic conductivity during ongoing mortality in Populus tremuloides in the southwestern United States and a detailed plant hydraulics model. We identify a lethal plant water stress threshold that corresponds with a loss of vascular transport capacity from air entry into the xylem. We then use this hydraulic-based threshold to simulate forest dieback during historical drought, and compare predictions against three independent mortality data sets. The hydraulic threshold predicted with 75% accuracy regional patterns of tree mortality as found in field plots and mortality maps derived from Landsat imagery. In a high-emissions scenario, climate models project that drought stress will exceed the observed mortality threshold in the southwestern United States by the 2050s. Our approach provides a powerful and tractable way of incorporating tree mortality into vegetation models to resolve uncertainty over the fate of forest ecosystems in a changing climate.
","language":"English","publisher":"Nature Publishing Group","doi":"10.1038/NGEO2400","usgsCitation":"Anderegg, W.R., Flint, A.L., Huang, C., Flint, L.E., Berry, J.A., Davis, F., Sperry, J.S., and Field, C.B., 2015, Tree mortality predicted from drought-induced vascular damage: Nature Geoscience, v. 8, p. 367-371, https://doi.org/10.1038/NGEO2400.","productDescription":"5 p.","startPage":"367","endPage":"371","ipdsId":"IP-059538","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":336106,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"8","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationDate":"2015-03-30","publicationStatus":"PW","scienceBaseUri":"58b002c7e4b01ccd54fb27d1","contributors":{"authors":[{"text":"Anderegg, William R.L.","contributorId":147089,"corporation":false,"usgs":false,"family":"Anderegg","given":"William","email":"","middleInitial":"R.L.","affiliations":[{"id":16784,"text":"Princeton U.","active":true,"usgs":false}],"preferred":false,"id":671207,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Flint, Alan L. 0000-0002-5118-751X aflint@usgs.gov","orcid":"https://orcid.org/0000-0002-5118-751X","contributorId":1492,"corporation":false,"usgs":true,"family":"Flint","given":"Alan","email":"aflint@usgs.gov","middleInitial":"L.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true},{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":671208,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Huang, Cho-ying","contributorId":182348,"corporation":false,"usgs":false,"family":"Huang","given":"Cho-ying","email":"","affiliations":[],"preferred":false,"id":671209,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Flint, Lorraine E. 0000-0002-7868-441X lflint@usgs.gov","orcid":"https://orcid.org/0000-0002-7868-441X","contributorId":1184,"corporation":false,"usgs":true,"family":"Flint","given":"Lorraine","email":"lflint@usgs.gov","middleInitial":"E.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":671206,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Berry, Joseph A.","contributorId":182349,"corporation":false,"usgs":false,"family":"Berry","given":"Joseph","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":671210,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Davis, Frank W.","contributorId":127849,"corporation":false,"usgs":false,"family":"Davis","given":"Frank W.","affiliations":[{"id":7168,"text":"UCSB","active":true,"usgs":false}],"preferred":false,"id":671211,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Sperry, John S.","contributorId":182350,"corporation":false,"usgs":false,"family":"Sperry","given":"John","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":671212,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Field, Christopher B.","contributorId":182351,"corporation":false,"usgs":false,"family":"Field","given":"Christopher","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":671213,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ]}