Natural Resource Condition Assessments (NRCAs) evaluate current conditions for a subset of natural resources and resource indicators in national parks. NRCAs also report on trends in resource condition (when possible), identify critical data gaps, and characterize a general level of confidence for study findings. The resources and indicators emphasized in a given project depend on the park’s resource setting, status of resource stewardship planning and science in identifying high-priority indicators, and availability of data and expertise to assess current conditions for a variety of potential study resources and indicators. Although the primary objective of NRCAs is to report on current conditions relative to logical forms of reference conditions and values, NRCAs also report on trends, when appropriate (i.e., when the underlying data and methods support such reporting), as well as influences on resource conditions. These influences may include past activities or conditions that provide a helpful context for understanding current conditions and present-day threats and stressors that are best interpreted at park, watershed, or landscape scales (though NRCAs do not report on condition status for land areas and natural resources beyond park boundaries). Intensive cause-andeffect analyses of threats and stressors, and development of detailed treatment options, are outside the scope of NRCAs. It is also important to note that NRCAs do not address resources that lack sufficient data for assessment. For Mount Rainier National Park, this includes most invertebrate species and many other animal species that are subject to significant stressors from climate change and other anthropogenic sources such as air pollutants and recreational use. In addition, we did not include an analysis of the physical hydrology associated with streams (such as riverine landforms, erosion and aggradation which is significant in MORA streams), due to a loss of staff expertise from the USGS-BRD staff conducting the work, and human disturbance landcover issues such as the effects of roads, trails, and other anthropogenic developments due to lack of funds.
","language":"English","publisher":"National Park Service","usgsCitation":"Hoffman, R., Woodward, A., Haggerty, P.K., Jenkins, K.J., Griffin, P., Adams, M.J., Hagar, J., Cummings, T., Duriscoe, D., Kopper, K., Riedel, J., Samora, B., Marin, L., Mauger, G., Bumbaco, K., and Littell, J.S., 2014, Mount Rainier National Park, xxvi., 353 p. .","productDescription":"xxvi., 353 p. 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The individual periods of time that males spent exhibiting behavior consistent with being present in a spawning aggregation—i.e. periods consisting of a clear tidal signature in the DST depth profile associated with an individual remaining on or near the substrate—were longer than those of females. Over the course of a spawning season, male cod spent approximately twice the amount of time in spawning aggregations than females, but female cod visited more aggregations per unit time. On average, males participated in approximately 57% more putative spawning events, i.e. vertical ascents potentially corresponding to gamete release, than did females. However, males <85 cm total length participated in the same number of putative spawning events as females of comparable size. In both sexes, larger individuals and/or individuals that spent a longer period of time within an aggregation participated in a larger number of putative spawning events. Although further validation and refinement is necessary, particularly in the identification of spawning events, the ability offered by DSTs to quantify cod spawning behavior may aid in the development of management and conservation plans.
","language":"English","publisher":"Inter-Research","doi":"10.3354/meps10787","usgsCitation":"Grabowski, T.B., Thorsteinsson, V., and Marteinsdottir, G., 2014, Spawning behavior in Atlantic cod: analysis by use of data storage tags: Marine Ecology Progress Series, v. 506, p. 279-290, https://doi.org/10.3354/meps10787.","productDescription":"12 p.","startPage":"279","endPage":"290","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-050100","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":473317,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3354/meps10787","text":"Publisher Index Page"},{"id":301015,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Iceland","volume":"506","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5570253fe4b0d9246a9fd1b3","contributors":{"authors":[{"text":"Grabowski, Timothy B. 0000-0001-9763-8948 tgrabowski@usgs.gov","orcid":"https://orcid.org/0000-0001-9763-8948","contributorId":4178,"corporation":false,"usgs":true,"family":"Grabowski","given":"Timothy","email":"tgrabowski@usgs.gov","middleInitial":"B.","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":547457,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Thorsteinsson, Vilhjalmur","contributorId":49215,"corporation":false,"usgs":true,"family":"Thorsteinsson","given":"Vilhjalmur","email":"","affiliations":[],"preferred":false,"id":548146,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Marteinsdottir, Gudrun","contributorId":11099,"corporation":false,"usgs":false,"family":"Marteinsdottir","given":"Gudrun","email":"","affiliations":[],"preferred":false,"id":548147,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70143455,"text":"70143455 - 2014 - An ecological response model for the Cache la Poudre River through Fort Collins","interactions":[],"lastModifiedDate":"2016-07-18T16:19:01","indexId":"70143455","displayToPublicDate":"2014-01-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":2,"text":"State or Local Government Series"},"title":"An ecological response model for the Cache la Poudre River through Fort Collins","docAbstract":"The Poudre River Ecological Response Model (ERM) is a collaborative effort initiated by the City of Fort Collins and a team of nine river scientists to provide the City with a tool to improve its understanding of the past, present, and likely future conditions of the Cache la Poudre River ecosystem. The overall ecosystem condition is described through the measurement of key ecological indicators such as shape and character of the stream channel and banks, streamside plant communities and floodplain wetlands, aquatic vegetation and insects, and fishes, both coolwater trout and warmwater native species. The 13- mile-long study area of the Poudre River flows through Fort Collins, Colorado, and is located in an ecological transition zone between the upstream, cold-water, steep-gradient system in the Front Range of the Southern Rocky Mountains and the downstream, warm-water, low-gradient reach in the Colorado high plains.
\nThe City wanted to better understand the ecological response of the Poudre River ecosystem to potential changes in stream flow and other physical parameters through the conceptual framework of a multivariable integrated model. This goal was met through the use of a probabilistic model based on Bayesian concepts. This construct allowed the integration of a wide range of data and expert opinion (as informed by local data) to predict potential changes to ecosystem conditions under various flow scenarios. Nine flow scenarios representing past, present, and possible future hydrology were developed as the primary model input. Both reach-scale drivers such as stream channel conditions and pollutant loads, as well as ecological conditions, including species composition, interactions, and habitat requirements influenced model-predicted ecosystem outcomes. Model output consisted of probability distributions for eight ecological indicators collectively representing the physical setting, aquatic life, and riparian habitats of the river ecosystem.
\nWe are confident in model predictions related to probable trends, relative magnitude of changes and potential ecosystem responses to changing flow conditions, though data availability and the process of converting diverse data types into a common unit (probabilities) limit precision of individual results. Key findings suggest that:
\nEnvironmental flows that combine stable and adequate flows in base-flow periods with occasional rejuvenating high flows that meet target levels defined in this study are likely improve all biological indicators across the system. ERM test scenarios that include both stable base flows and rejuvenating high flows indicate that substantial improvements in the river ecosystem can be achieved with improved management of flow volumes similar to those observed in the river during the last half century of intensive water development. These results underscore the possibility of improving the river ecosystem through active management while still maintaining the Poudre’s diverse economic benefits and role as a working river.
\nThe ERM was designed to represent the multi-dimensional ecological character of the contemporary urban Poudre River. It provides a scientific foundation that can serve as a decision support tool and foster a more informed community discussion about the future of the river as it provides a better understanding of the likely response of the Poudre River ecosystem to environmental flow management and other stewardship activities. In particular, model results can assist managers in developing specific management actions to achieve desirable goals for key indicators of river health.
","language":"English","publisher":"City of Fort Collins Natural Areas Department","publisherLocation":"Fort Collins, CO","usgsCitation":"Shanahan, J., Baker, D., Bledsoe, B.P., Poff, L., Merritt, D.M., Bestgen, K.R., Auble, G.T., Kondratieff, B.C., Stokes, J., Lorie, M., and Sanderson, J., 2014, An ecological response model for the Cache la Poudre River through Fort Collins, xv, 95 p.","productDescription":"xv, 95 p.","numberOfPages":"112","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-056554","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":325403,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":298735,"type":{"id":15,"text":"Index Page"},"url":"https://www.fcgov.com/naturalareas/eco-response.php"}],"country":"United States","state":"Colorado","otherGeospatial":"Cache la Poudre River Watershed, Poudre River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -105.15426635742188,\n 40.49395938772784\n ],\n [\n -105.15426635742188,\n 40.63896734381723\n ],\n [\n -104.9798583984375,\n 40.63896734381723\n ],\n [\n -104.9798583984375,\n 40.49395938772784\n ],\n [\n -105.15426635742188,\n 40.49395938772784\n ]\n ]\n ]\n }\n }\n ]\n}","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"578dfdaee4b0f1bea0e0f816","contributors":{"authors":[{"text":"Shanahan, Jennifer","contributorId":172960,"corporation":false,"usgs":false,"family":"Shanahan","given":"Jennifer","email":"","affiliations":[],"preferred":false,"id":642787,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Baker, Daniel","contributorId":172961,"corporation":false,"usgs":false,"family":"Baker","given":"Daniel","affiliations":[],"preferred":false,"id":642788,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bledsoe, Brian P.","contributorId":140605,"corporation":false,"usgs":false,"family":"Bledsoe","given":"Brian","email":"","middleInitial":"P.","affiliations":[{"id":13538,"text":"Department of Civil and Environmental Engineering, Colorado State University, Fort Collins, Colorado","active":true,"usgs":false}],"preferred":false,"id":642789,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Poff, LeRoy","contributorId":172962,"corporation":false,"usgs":false,"family":"Poff","given":"LeRoy","email":"","affiliations":[],"preferred":false,"id":642790,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Merritt, David M.","contributorId":95976,"corporation":false,"usgs":true,"family":"Merritt","given":"David","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":642791,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Bestgen, Kevin R. 0000-0001-8691-2227","orcid":"https://orcid.org/0000-0001-8691-2227","contributorId":171573,"corporation":false,"usgs":false,"family":"Bestgen","given":"Kevin","email":"","middleInitial":"R.","affiliations":[{"id":6621,"text":"Colorado State University","active":true,"usgs":false}],"preferred":false,"id":642792,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Auble, Gregor T. 0000-0002-0843-2751 aubleg@usgs.gov","orcid":"https://orcid.org/0000-0002-0843-2751","contributorId":2187,"corporation":false,"usgs":true,"family":"Auble","given":"Gregor","email":"aubleg@usgs.gov","middleInitial":"T.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":542726,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Kondratieff, Boris C.","contributorId":24868,"corporation":false,"usgs":false,"family":"Kondratieff","given":"Boris","email":"","middleInitial":"C.","affiliations":[{"id":17860,"text":"Colorado State University, Fort Collins, Colorado","active":true,"usgs":false}],"preferred":false,"id":642793,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Stokes, John","contributorId":172963,"corporation":false,"usgs":false,"family":"Stokes","given":"John","email":"","affiliations":[],"preferred":false,"id":642794,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Lorie, Mark","contributorId":172964,"corporation":false,"usgs":false,"family":"Lorie","given":"Mark","email":"","affiliations":[],"preferred":false,"id":642795,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Sanderson, John","contributorId":172965,"corporation":false,"usgs":false,"family":"Sanderson","given":"John","affiliations":[],"preferred":false,"id":642796,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}} ,{"id":70143191,"text":"70143191 - 2014 - Characterization of deep coral and sponge communities in the Gulf of the Farallones National Marine Sanctuary: Rittenburg Bank, Cochrane Bank and the Farallon Escarpment.","interactions":[],"lastModifiedDate":"2015-12-21T16:12:42","indexId":"70143191","displayToPublicDate":"2014-01-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":4,"text":"Other Government Series"},"seriesNumber":"NOS NCCOS 190","title":"Characterization of deep coral and sponge communities in the Gulf of the Farallones National Marine Sanctuary: Rittenburg Bank, Cochrane Bank and the Farallon Escarpment.","docAbstract":"Benthic surveys were conducted in the Gulf of Farallones National Marine Sanctuary (GFNMS) aboard R/V Fulmar, October 3-11, 2012 using the large observation-class remotely operated vehicle (ROV) Beagle. The purpose of the surveys was to groundtruth mapping data collected in 2011, and to characterize the seafloor biota, particularly corals and sponges, in order to support Essential Fish Habitat designations under Magnuson-Stevens Act (MSA) and other conservation and management goals under the National Marine Sanctuaries Act (NMSA). A total area of 25,416 sq. meters of sea floor was surveyed during 34 ROV transects. The overall research priorities were: (1) to locate and characterize DSC and sponge habitats in priority areas; (2) to collect information to help understand the value of DSCs and sponges as reservoirs of biodiversity, or habitat for associated species, including commercially important fishes and invertebrates; (3) to assess the condition of DSC/sponge assemblages in relation to potential anthropogenic or environmental disturbances; and (4) to make this information available to support fisheries and sanctuary management needs under MSA and NMSA requirements.
","language":"English","publisher":"NCCOS","collaboration":"NOAA","usgsCitation":"Etnoyer, P., Cochrane, G.R., Salgado, E., Graiff, K., Roletto, J., Williams, G., Reyna, K., and Hyland, J., 2014, Characterization of deep coral and sponge communities in the Gulf of the Farallones National Marine Sanctuary: Rittenburg Bank, Cochrane Bank and the Farallon Escarpment., iii; 38 p.","productDescription":"iii; 38 p.","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-061536","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":312666,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":298636,"type":{"id":15,"text":"Index Page"},"url":"https://www2.coastalscience.noaa.gov/publications/detail.aspx?resource=5zy3qIWZ22tZM7wpcwF1ynGoSLypy/xF9QO4coSEshs="}],"country":"United States","otherGeospatial":"he Gulf of the Farallones National Marine Sanctuary: Rittenburg Bank, Cochrane Bank and the Farallon Escarpment","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -123.16875457763672,\n 37.81737834565083\n ],\n [\n -123.00567626953125,\n 37.6816466602918\n ],\n [\n -123.12103271484375,\n 37.638975567983245\n ],\n [\n -123.24943542480467,\n 37.79323632157157\n ],\n [\n -123.27827453613281,\n 37.82442958216432\n ],\n [\n -123.19965362548828,\n 37.851543444173984\n ],\n [\n -123.16875457763672,\n 37.81737834565083\n ]\n ]\n ]\n }\n }\n ]\n}","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"567930c1e4b0da412f4fb53d","contributors":{"authors":[{"text":"Etnoyer, P.","contributorId":139690,"corporation":false,"usgs":false,"family":"Etnoyer","given":"P.","affiliations":[{"id":12641,"text":"NOAA NMFS","active":true,"usgs":false}],"preferred":false,"id":542506,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cochrane, Guy R. 0000-0002-8094-4583 gcochrane@usgs.gov","orcid":"https://orcid.org/0000-0002-8094-4583","contributorId":2870,"corporation":false,"usgs":true,"family":"Cochrane","given":"Guy","email":"gcochrane@usgs.gov","middleInitial":"R.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true},{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true}],"preferred":true,"id":542505,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Salgado, E.","contributorId":139691,"corporation":false,"usgs":false,"family":"Salgado","given":"E.","email":"","affiliations":[{"id":12641,"text":"NOAA NMFS","active":true,"usgs":false}],"preferred":false,"id":542507,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Graiff, K.","contributorId":139692,"corporation":false,"usgs":false,"family":"Graiff","given":"K.","affiliations":[{"id":12641,"text":"NOAA NMFS","active":true,"usgs":false}],"preferred":false,"id":542508,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Roletto, J.","contributorId":139693,"corporation":false,"usgs":false,"family":"Roletto","given":"J.","affiliations":[{"id":12641,"text":"NOAA NMFS","active":true,"usgs":false}],"preferred":false,"id":542509,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Williams, G.J.","contributorId":26158,"corporation":false,"usgs":true,"family":"Williams","given":"G.J.","email":"","affiliations":[],"preferred":false,"id":542510,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Reyna, K.","contributorId":139694,"corporation":false,"usgs":false,"family":"Reyna","given":"K.","email":"","affiliations":[{"id":12641,"text":"NOAA NMFS","active":true,"usgs":false}],"preferred":false,"id":542511,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Hyland, J.","contributorId":139695,"corporation":false,"usgs":false,"family":"Hyland","given":"J.","affiliations":[{"id":12641,"text":"NOAA NMFS","active":true,"usgs":false}],"preferred":false,"id":542512,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70147238,"text":"70147238 - 2014 - Post-breeding migration of Dutch-breeding black-tailed godwits: timing, routes, use of stopovers, and nonbreeding destinations","interactions":[],"lastModifiedDate":"2018-05-20T11:23:54","indexId":"70147238","displayToPublicDate":"2014-01-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":900,"text":"Ardea","active":true,"publicationSubtype":{"id":10}},"title":"Post-breeding migration of Dutch-breeding black-tailed godwits: timing, routes, use of stopovers, and nonbreeding destinations","docAbstract":"Conservation of long-distance migratory shorebirds is complex because these species use habitats spread across continents and hemispheres, making identification of critical habitats and potential bottlenecks in the annual cycle especially difficult. The population of Black-tailed Godwits that breeds in Western Europe, Limosa limosa limosa, has declined precipitously over the past few decades. Despite significant efforts to identify the root causes of this decline, much remains unclear. To better understand the migratory timing, use of stopover and nonbreeding sites, and the potential impact of breeding success on these parameters, we attached 15 Argos satellite transmitters and 10 geolocation tracking devices to adult godwits nearing completion of incubation at breeding sites in southwest Friesland, The Netherlands during the spring of 2009. We successfully tracked 16 adult godwits for their entire southward migration and two others for part of it. Three migration patterns and four regions of use were apparent. Most godwits left their breeding sites and proceeded south directly to stopover sites in the Mediterranean — e.g. Spain, Portugal, and Morocco — before flying on to non-breeding sites in West Africa. Other individuals spent the entire nonbreeding season in the Mediterranean. A third pattern included a few individuals that flew nonstop from their Dutch breeding sites to nonbreeding sites in West Africa. Tracking data from this study will be immediately useful for conservation efforts focused on preserving the dispersed network of sites used by godwits during their southward migration.
","language":"English","publisher":"Netherlands Ornithologists' Union","doi":"10.5253/078.101.0209","usgsCitation":"Hooijmeijer, J.C., Senner, N.R., Tibbitts, T.L., Gill, R., Douglas, D.C., Bruinzeel, L.W., Wymenga, E., and Piersma, T., 2014, Post-breeding migration of Dutch-breeding black-tailed godwits: timing, routes, use of stopovers, and nonbreeding destinations: Ardea, v. 101, no. 2, p. 141-152, https://doi.org/10.5253/078.101.0209.","productDescription":"12 p.","startPage":"141","endPage":"152","numberOfPages":"12","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-048977","costCenters":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"links":[{"id":473318,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.5253/078.101.0209","text":"Publisher Index Page"},{"id":299955,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"The Netherlands","state":"Friesland","otherGeospatial":"Mediterranean, West Africa","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n 7.207031249999999,\n 53.225768435790194\n ],\n [\n 6.30615234375,\n 53.605544099238\n ],\n [\n 5.07568359375,\n 53.409531853086435\n ],\n [\n 4.581298828125,\n 53.034607110319044\n ],\n [\n 4.306640625,\n 52.18066872927715\n ],\n [\n 3.40576171875,\n 51.60437164681676\n ],\n [\n -1.494140625,\n 46.28622391806706\n ],\n [\n -9.4482421875,\n 38.85682013474361\n ],\n [\n -17.402343749999996,\n 14.774882506516272\n ],\n [\n -16.34765625,\n 11.523087506868514\n ],\n [\n -5.16357421875,\n 7.100892668623654\n ],\n [\n -3.6035156249999996,\n 13.923403897723347\n ],\n [\n 4.482421875,\n 15.792253570362446\n ],\n [\n -4.921875,\n 35.460669951495305\n ],\n [\n 5.053710937499999,\n 49.781264058178344\n ],\n [\n 7.207031249999999,\n 53.225768435790194\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"101","issue":"2","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5542012de4b0a658d793b44f","contributors":{"authors":[{"text":"Hooijmeijer, Jos C. E. W.","contributorId":64996,"corporation":false,"usgs":false,"family":"Hooijmeijer","given":"Jos","email":"","middleInitial":"C. E. W.","affiliations":[],"preferred":false,"id":545756,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Senner, Nathan R.","contributorId":140465,"corporation":false,"usgs":false,"family":"Senner","given":"Nathan","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":545757,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Tibbitts, T. 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These data, collected during eight separate surveys between 2002 and 2013, covering almost 180,000 square kilometers are published here in large format map sheet and digital spatial data. This report describes the common multibeam data collection, and processing methods used to produce the bathymetric terrain model and corresponding data source polygon. Details documenting the complete provenance of the data are also provided in the metadata in the Data Catalog section.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston VA","doi":"10.3133/ofr20131125","usgsCitation":"Andrews, B., ten Brink, U., Danforth, W.W., Chaytor, J.D., Granja-Bruna, J., and Carbo-Gorosabel, A., 2014, Bathymetric Terrain Model of the Puerto Rico Trench and the Northeastern Caribbean Region for Marine Geological Investigations: U.S. Geological Survey Open-File Report 2013-1125, online only, https://doi.org/10.3133/ofr20131125.","productDescription":"online only","startPage":"1-10","ipdsId":"IP-046051","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":349188,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":296255,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2013/1125/"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57f7f032e4b0bc0bec09f5fc","contributors":{"authors":[{"text":"Andrews, Brian D. bandrews@usgs.gov","contributorId":2132,"corporation":false,"usgs":true,"family":"Andrews","given":"Brian D.","email":"bandrews@usgs.gov","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":525691,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"ten Brink, Uri S. 0000-0001-6858-3001 utenbrink@usgs.gov","orcid":"https://orcid.org/0000-0001-6858-3001","contributorId":127560,"corporation":false,"usgs":true,"family":"ten Brink","given":"Uri S.","email":"utenbrink@usgs.gov","affiliations":[{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true},{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":525693,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Danforth, William W. 0000-0002-6382-9487 bdanforth@usgs.gov","orcid":"https://orcid.org/0000-0002-6382-9487","contributorId":3292,"corporation":false,"usgs":true,"family":"Danforth","given":"William","email":"bdanforth@usgs.gov","middleInitial":"W.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":525692,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Chaytor, Jason D. jchaytor@usgs.gov","contributorId":127559,"corporation":false,"usgs":true,"family":"Chaytor","given":"Jason","email":"jchaytor@usgs.gov","middleInitial":"D.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":525694,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Granja-Bruna, J","contributorId":127563,"corporation":false,"usgs":false,"family":"Granja-Bruna","given":"J","affiliations":[{"id":7051,"text":"Technophysics Group, Universidad Complutense, Madrid, Spain","active":true,"usgs":false}],"preferred":false,"id":525695,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Carbo-Gorosabel, A","contributorId":118472,"corporation":false,"usgs":true,"family":"Carbo-Gorosabel","given":"A","affiliations":[],"preferred":false,"id":525696,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70128306,"text":"70128306 - 2014 - 2011 Summary: Coastal wetland restoration research","interactions":[],"lastModifiedDate":"2017-04-25T10:36:08","indexId":"70128306","displayToPublicDate":"2014-01-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":1,"text":"Federal Government Series"},"title":"2011 Summary: Coastal wetland restoration research","docAbstract":"The Great Lakes Restoration Initiative (GLRI) projects currently taking place in Great Lakes coastal wetlands provide a unique opportunity to study ecosystem response to management actions as practitioners strive to improve wetland function and increase ecosystem services. Through a partnership between the U.S. Geological Survey – Great Lakes Science Center (GLSC), U.S. Fish and Wildlife Service (USFWS), and Ducks Unlimited, a GLRI-funded project has reestablished the hydrologic connection between an intensively managed impounded wetland (Pool 2B) and Crane Creek, a small Lake Erie tributary, by building a water-control structure that was opened in the spring of 2011. The study site is located within the USFWS Ottawa National Wildlife Refuge (ONWR) and lies within the boundaries of the U.S. Environmental Protection Agency (EPA)-designated Maumee River Area of Concern. The broad objective of the project is to evaluate how hydrologically reconnecting a previously diked wetland impacts fish, mollusks, and other biota and affects nutrient transport, nutrient cycling, water quality, flood storage, and many other abiotic conditions. The results from this project suggest large system-wide benefits from sustainable reestablishment of lake-driven hydrology in this and other similar systems.
We comprehensively sampled water chemistry, fish, birds, plants, and invertebrates in Crane Creek coastal wetlands, Pool 2A (a reference diked wetland), and Pool 2B (the reconnected wetland) in 2010 and 2011 to:
1) Characterize spatial and seasonal patterns for these parameters.
2) Examine ecosystem response to the opening of a water-control structure that allows fish passage
Our sampling efforts have yielded data that reveal striking changes in water quality, hydrology, and fish assemblages in our experimental unit (2B). Prior to the reconnection, the water chemistry in pools 2A and 2B were very similar. Afterwards, we found that the water chemistry in reconnected Pool 2B was more similar to Crane Creek (e.g., greater turbidity, higher concentration of nitrogen). Sites closest to the structure showed the most creek influence with that influence decreasing with distance from the structure, suggesting that input water from Crane Creek is not mixing fully with the pool water. We also found that water level fluctuations were much greater in the reconnected wetland due to the influence of seiches in Lake Erie. We measured the nutrient concentrations of water flowing into and out of Pool 2B during seiche events and found that the phosphorous and nitrogen concentrations generally were drastically reduced after pulsing through the reconnected wetland. Fish response to the reconnection was equally striking. High-resolution sonar revealed extensive bidirectional movement of fish through the structure on a daily and seasonal basis. There also were significant increases in both the catch per unit effort (CPUE) and the species richness of all sites in Pool 2B from 2010 to 2011. Reconnecting the diked pool to the larger Crane Creek wetland complex, and therefore Lake Erie, has opened up rich new habitat for many fish species. Thirteen species of fish not previously found in the pool entered through the structure and actively used the reconnected wetland. We also found that the wetland functions as a productive spawning ground and nursery area with notable shifts in the predominant age-class of several species of fish, especially northern pike. We observed no negative effects of reconnection on the avian or vegetative communities. All sites within the connected pool had increases in diversity and abundance in the avian community and decreases in the species richness and Floristic Quality Assessment Index values for vegetative communities. After one year of study, data suggest that maintaining a hydrologic connection between diked and coastal wetlands in Lake Erie allows fishes to use vegetated habitats regularly, reduces the concentration of nutrients in coastal waters, and maintains productive habitats for birds and other biota. It will be important to continue to monitor the status of the reconnected wetland to determine the effect of long-term connection to Crane Creek and Lake Erie. If conditions degrade, periodic management actions involving hydrologic isolation of the rehabilitated coastal wetland could be used to mimic intermediate levels of disturbance and maintain wetland vegetation.
","publisher":"Great Lakes Science Center","usgsCitation":"Kowalski, K., Wiley, M., Wilcox, D.A., Carlson Mazur, M.L., Czayka, A., Dominguez, A., Doty, S., Eggleston, M., Green, S., and Sweetman, A., 2014, 2011 Summary: Coastal wetland restoration research, 65 p.","productDescription":"65 p.","ipdsId":"IP-040652","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":340239,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":295008,"type":{"id":11,"text":"Document"},"url":"https://www.fws.gov/refuge/Ottawa/what_we_do/resource_management.html"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59006065e4b0e85db3a5ddf1","contributors":{"authors":[{"text":"Kowalski, Kurt P. 0000-0002-8424-4701 kkowalski@usgs.gov","orcid":"https://orcid.org/0000-0002-8424-4701","contributorId":3768,"corporation":false,"usgs":true,"family":"Kowalski","given":"Kurt P.","email":"kkowalski@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":519710,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wiley, Michael J.","contributorId":73942,"corporation":false,"usgs":false,"family":"Wiley","given":"Michael J.","affiliations":[{"id":6649,"text":"University of Michigan, School of Natural Resources and Environment","active":true,"usgs":false}],"preferred":false,"id":692726,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wilcox, Douglas A.","contributorId":36880,"corporation":false,"usgs":true,"family":"Wilcox","given":"Douglas","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":692727,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Carlson Mazur, Martha L.","contributorId":95377,"corporation":false,"usgs":true,"family":"Carlson Mazur","given":"Martha","email":"","middleInitial":"L.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":false,"id":692728,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Czayka, Alex","contributorId":191324,"corporation":false,"usgs":false,"family":"Czayka","given":"Alex","email":"","affiliations":[],"preferred":false,"id":692729,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Dominguez, Andrea","contributorId":191325,"corporation":false,"usgs":false,"family":"Dominguez","given":"Andrea","email":"","affiliations":[],"preferred":false,"id":692730,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Doty, Susan","contributorId":191326,"corporation":false,"usgs":false,"family":"Doty","given":"Susan","email":"","affiliations":[],"preferred":false,"id":692731,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Eggleston, Mike","contributorId":191327,"corporation":false,"usgs":false,"family":"Eggleston","given":"Mike","email":"","affiliations":[],"preferred":false,"id":692732,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Green, Sean","contributorId":191328,"corporation":false,"usgs":false,"family":"Green","given":"Sean","email":"","affiliations":[],"preferred":false,"id":692733,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Sweetman, Amanda","contributorId":191329,"corporation":false,"usgs":false,"family":"Sweetman","given":"Amanda","email":"","affiliations":[],"preferred":false,"id":692734,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}} ,{"id":70136151,"text":"70136151 - 2014 - Demography and behavior of polar bears summering on land in Alaska","interactions":[],"lastModifiedDate":"2018-07-14T13:24:08","indexId":"70136151","displayToPublicDate":"2014-01-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":6,"text":"USGS Unnumbered Series"},"title":"Demography and behavior of polar bears summering on land in Alaska","docAbstract":"Polar bears (Ursus maritimus) in the southern Beaufort Sea population (SB) are spending increased time on the coastal North Slope of Alaska between July and October (Gleason and Rode 2010). The duration spent on land by polar bears, satellite collared on the sea-ice in the spring, during the summer and fall has also increased (USGS, unpublished data; Figure 1). This change in polar bear ecology has relevance for human-bear interactions, subsistence harvest, prevalence of defense kills, and disturbance associated with existing land-based development [e.g., National Petroleum Reserve of Alaska (NPRA), Arctic National Wildlife Refuge (ANWR)], Native Alaskan communities, recreation (ANWR) and tourism (e.g., bear viewing in Kaktovik, AK). These activities have the potential to impact, in new ways, the status of the entire SB population. Concomitantly, the change in polar bear ecology will impact these human activities, and a base-line characterization of this phenomenon can better inform mitigation (e.g., industry permitting under the Endangered Species Act and Marine Mammal Protection Act). In this study we aim to characterize the demography, habitat-use, and aspects of foraging ecology and health of polar bears spending fall on land. The SB population is characterized by a divergent-sea ice ecology, where polar bears typically spend most of the year on the sea-ice, even as the pack ice retreats northward, away from the coast, to its minimal extent in September (Amstrup et al. 2008; Durner et al. 2009). From 2000 – 2005, using coastal aerial surveys, Schliebe et al. (2008) observed between 3.7 and 8% of polar bears from SB (~ 60 – 120 of 1526, Regher et al. 2006) on land during the autumn. Sighting probability was not estimated in these surveys, and therefore the numbers represent minimum numbers of bears on land. Our analysis of USGS data suggest an annual average of 15% (± 3%, SE) of polar bears satellite-tagged on the spring-time sea ice (total n = 18 of 124 satellite tags, 2003 – 2009) come to land during July – October. Based on these data, and an assumption that bears satellite-tagged on the spring time sea ice are representative of the entire SB population of independent bears, there would be an average of 230 bears on land each fall. In contrast to the SB population, in five of the world’s 19 polar bear populations (Obbard et al. 2010), polar bears spend significant periods of time on land (1 – 5 months) when ice completely melts. In these seasonal-ice populations (Amstrup et al. 2008), polar bears are largely in a hypophagic condition (e.g., Hobson et al. 2009), relying on fat stores from the spring hyperphagic season, when ringed seals (Phoca hispida) pup. In general, these seasonal-ice populations are demographically productive (Taylor et al. 2005), although recently an increase in the ice-free season has resulted in a population decline in western Hudson Bay (Stirling et al. 1999; Regehr et al. 2007). There have been measured declines in the body condition and productivity of polar bears in SB, and changes in these parameters have been linked to declining optimal ice habitat (e.g., Durner et al. 2009; Regehr et al. 2010). We do not understand the relationship between land-use and the overall status of the population. Individual polar bears that use land may have increased or decreased fitness, in comparison to polar bears that remain on ice in the autumn. This project, which focuses on the biology of animals that spend time on-shore, will help address this question. This project is funded by the Bureau of Ocean Energy Management (BOEM) under Agreement No. M09PG00025 and the USGS Outer Continental Shelf Program (OCS) for FY 2009-2014. Parts of this study are also funded by US Fish and Wildlife Service, Office of Marine Mammals Management; the Bureau of Land Management; and the North Slope Borough, Department of Wildlife Management. This report is comprehensive, describing results for achieving the overlap
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The EP models developed from a previous study were based on the satellite vegetation index, site geophysical and biophysical features, and weather and climate drivers. The future climate data used in this study were derived from the National Center for Atmospheric Research Community Climate System Model 3.0 ‘SRES A1B’ (a ‘middle’ emissions path). The main objective of this study is to assess the future sustainability of the potential biofuel feedstock areas identified in a previous study. Results show that the potential biofuel feedstock areas (the more mesic eastern part of the GPRB) will remain productive (i.e., aboveground grassland biomass productivity >2750 kg ha−1 year−1) with a slight increasing trend in the future. The spatially averaged EPs for these areas are 3519, 3432, 3557, 3605, 3752, and 3583 kg ha−1 year−1 for current site potential (2000–2008 average), 2020, 2030, 2040, 2050, and 2099, respectively. Therefore, the identified potential biofuel feedstock areas will likely continue to be sustainable for future biofuel development. On the other hand, grasslands identified as having no biofuel potential in the drier western part of the GPRB would be expected to stay unproductive in the future (spatially averaged EPs are 1822, 1691, 1896, 2306, 1994, and 2169 kg ha−1 year−1 for site potential, 2020, 2030, 2040, 2050, and 2099). These areas should continue to be unsuitable for biofuel feedstock development in the future. These future grassland productivity estimation maps can help land managers to understand and adapt to the expected changes in future EP in the GPRB and to assess the future sustainability and feasibility of potential biofuel feedstock areas.
","language":"English","publisher":"WIley","doi":"10.1111/gcbb.12059","usgsCitation":"Gu, Y., Wylie, B.K., Boyte, S.P., and Phuyal, K.P., 2014, Projecting future grassland productivity to assess thesustainability of potential biofuel feedstock areas in theGreater Platte River Basin: GCB Bioenergy, v. 6, no. 1, p. 35-43, https://doi.org/10.1111/gcbb.12059.","productDescription":"9 p.","startPage":"35","endPage":"43","ipdsId":"IP-041312","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":473288,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/gcbb.12059","text":"Publisher Index Page"},{"id":341965,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"6","issue":"1","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationDate":"2013-07-17","publicationStatus":"PW","scienceBaseUri":"54faddbbe4b02419550db6df","contributors":{"authors":[{"text":"Gu, Yingxin 0000-0002-3544-1856 ygu@usgs.gov","orcid":"https://orcid.org/0000-0002-3544-1856","contributorId":139586,"corporation":false,"usgs":true,"family":"Gu","given":"Yingxin","email":"ygu@usgs.gov","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":541945,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wylie, Bruce K. 0000-0002-7374-1083 wylie@usgs.gov","orcid":"https://orcid.org/0000-0002-7374-1083","contributorId":750,"corporation":false,"usgs":true,"family":"Wylie","given":"Bruce","email":"wylie@usgs.gov","middleInitial":"K.","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":541944,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Boyte, Stephen P. 0000-0002-5462-3225 sboyte@usgs.gov","orcid":"https://orcid.org/0000-0002-5462-3225","contributorId":139238,"corporation":false,"usgs":true,"family":"Boyte","given":"Stephen","email":"sboyte@usgs.gov","middleInitial":"P.","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true},{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":541943,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Phuyal, Khem P.","contributorId":28517,"corporation":false,"usgs":true,"family":"Phuyal","given":"Khem","email":"","middleInitial":"P.","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":false,"id":541946,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70155023,"text":"70155023 - 2014 - Seismometer Self-Noise and Measuring Methods","interactions":[],"lastModifiedDate":"2016-08-31T12:00:57","indexId":"70155023","displayToPublicDate":"2014-01-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Seismometer Self-Noise and Measuring Methods","docAbstract":"Seismometer self-noise is usually not considered when selecting and using seismic waveform data in scientific research as it is typically assumed that the self-noise is negligibly small compared to seismic signals. However, instrumental noise is part of the noise in any seismic record, and in particular, at frequencies below a few mHz, the instrumental noise has a frequency-dependent character and may dominate the noise. When seismic noise itself is considered as a carrier of information, as in seismic interferometry (e.g., Chaput et al. 2012), it becomes extremely important to estimate the contribution of instrumental noise to the recordings.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Encyclopedia of Earthquake Engineering","language":"English","publisher":"Springer Berlin Heidelberg","doi":"10.1007/978-3-642-36197-5_175-1","collaboration":"R. Sleeman; C. R. Hutt; L. S. Gee","usgsCitation":"Ringler, A.T., R. Sleeman, Hutt, C.R., and Gee, L.S., 2014, Seismometer Self-Noise and Measuring Methods, chap. of Encyclopedia of Earthquake Engineering, p. 1-13, https://doi.org/10.1007/978-3-642-36197-5_175-1.","productDescription":"14 p.","startPage":"1","endPage":"13","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-052770","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":328127,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":305672,"type":{"id":15,"text":"Index Page"},"url":"https://link.springer.com/referenceworkentry/10.1007/978-3-642-36197-5_175-1"}],"publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2014-09-24","publicationStatus":"PW","scienceBaseUri":"57c7ffbee4b0f2f0cebfc334","contributors":{"authors":[{"text":"Ringler, Adam T. 0000-0002-9839-4188 aringler@usgs.gov","orcid":"https://orcid.org/0000-0002-9839-4188","contributorId":145576,"corporation":false,"usgs":true,"family":"Ringler","given":"Adam","email":"aringler@usgs.gov","middleInitial":"T.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":564695,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"R. Sleeman","contributorId":145584,"corporation":false,"usgs":false,"family":"R. Sleeman","affiliations":[{"id":16158,"text":"Royal Netherlands Meteorological Institute","active":true,"usgs":false}],"preferred":false,"id":564696,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hutt, Charles R. 0000-0001-9033-9195 bhutt@usgs.gov","orcid":"https://orcid.org/0000-0001-9033-9195","contributorId":1622,"corporation":false,"usgs":true,"family":"Hutt","given":"Charles","email":"bhutt@usgs.gov","middleInitial":"R.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":564697,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gee, Lind S. lgee@usgs.gov","contributorId":145579,"corporation":false,"usgs":true,"family":"Gee","given":"Lind","email":"lgee@usgs.gov","middleInitial":"S.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":false,"id":564698,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70141751,"text":"70141751 - 2014 - Stratigraphy, structure and regional correlation of eastern Blue Ridge sequences in southern Virginia and northwestern North Carolina: an interim report from new USGS mapping","interactions":[],"lastModifiedDate":"2015-03-06T10:12:29","indexId":"70141751","displayToPublicDate":"2014-01-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1724,"text":"GSA Field Guides","active":true,"publicationSubtype":{"id":10}},"title":"Stratigraphy, structure and regional correlation of eastern Blue Ridge sequences in southern Virginia and northwestern North Carolina: an interim report from new USGS mapping","docAbstract":"Examination of key outcrops in the eastern Blue Ridge in southern Virginia and northwestern North Carolina is used to evaluate existing stratigraphic and structural models. Recent detailed mapping along the Blue Ridge Parkway and the eastern flank of the Mount Rogers massif provides the opportunity to (1) evaluate legacy data and interpretations and (2) formulate new ideas for regional correlation of eastern Blue Ridge geology.
\nLynchburg Group rocks in central Virginia (metagraywacke, quartzite, graphitic schist, amphibolite, and ultramafic rocks) carry southward along strike where they transition with other units. Wills Ridge Formation consists of graphitic schist, metagraywacke, and metaconglomerate, and marks the western boundary of the eastern Blue Ridge. The Ashe Formation consists of conglomeratic metagraywacke in southern Virginia, and mica gneiss, mica schist, and ultramafic rocks in North Carolina. The overlying Alligator Back Formation shows characteristic compositional pin-striped layers in mica gneiss, schist, and amphibolite.
\nThe contact between eastern Blue Ridge stratified rocks above Mesoproterozoic basement rocks is mostly faulted (Gossan Lead and Red Valley). The Callaway fault juxtaposes Ashe and Lynchburg rocks above Wills Ridge Formation. Alligator Back Formation rocks overlie Ashe and Lynchburg rocks along the Rock Castle Creek fault, which juxtaposes rocks of different metamorphism. The fault separates major structural domains: rocks with one penetrative foliation in the footwall, and pin-striped recrystallized compositional layering, superposed penetrative foliations, and cleavage characterize the hanging wall. These relationships are ambiguous along strike to the southwest, where the Ashe and Alligator Back formations are recrystallized at higher metamorphic grades.
","language":"English","publisher":"Geological Society of America","publisherLocation":"Boulder, CO","doi":"10.1130/2014.0035(07)","usgsCitation":"Carter, M.W., and Merschat, A.J., 2014, Stratigraphy, structure and regional correlation of eastern Blue Ridge sequences in southern Virginia and northwestern North Carolina: an interim report from new USGS mapping: GSA Field Guides, v. 35, p. 215-241, https://doi.org/10.1130/2014.0035(07).","productDescription":"27 p.","startPage":"215","endPage":"241","numberOfPages":"27","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-054099","costCenters":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"links":[{"id":298319,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"North Carolina, Virginia","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -81.4581298828125,\n 36.45000844447082\n ],\n [\n -81.4581298828125,\n 37.13842453422676\n ],\n [\n -80.08209228515625,\n 37.13842453422676\n ],\n [\n -80.08209228515625,\n 36.45000844447082\n ],\n [\n -81.4581298828125,\n 36.45000844447082\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"35","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2014-04-01","publicationStatus":"PW","scienceBaseUri":"54faddbce4b02419550db6e2","contributors":{"authors":[{"text":"Carter, Mark W. 0000-0003-0460-7638 mcarter@usgs.gov","orcid":"https://orcid.org/0000-0003-0460-7638","contributorId":4808,"corporation":false,"usgs":true,"family":"Carter","given":"Mark","email":"mcarter@usgs.gov","middleInitial":"W.","affiliations":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true},{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true},{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":540998,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Merschat, Arthur J. 0000-0002-9314-4067 amerschat@usgs.gov","orcid":"https://orcid.org/0000-0002-9314-4067","contributorId":4556,"corporation":false,"usgs":true,"family":"Merschat","given":"Arthur","email":"amerschat@usgs.gov","middleInitial":"J.","affiliations":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true},{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"preferred":true,"id":540999,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70123296,"text":"fs20143090 - 2014 - Continuous water-quality and suspended-sediment transport monitoring in the San Francisco Bay, California, water years 2011–13","interactions":[],"lastModifiedDate":"2017-10-30T11:20:08","indexId":"fs20143090","displayToPublicDate":"2014-01-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2014-3090","title":"Continuous water-quality and suspended-sediment transport monitoring in the San Francisco Bay, California, water years 2011–13","docAbstract":"The U.S. Geological Survey (USGS) monitors water quality and suspended-sediment transport in the San Francisco Bay. The San Francisco Bay area is home to millions of people, and the bay teems with both resident and migratory wildlife, plants, and fish. Fresh water mixes with salt water in the bay, which is subject both to riverine and marine (tides, waves, influx of salt water) influences. To understand this environment, the USGS, along with its partners, has been monitoring the bay’s waters continuously since 1988. Several water-quality variables are of particular importance to State and Federal resource managers and are monitored at key locations throughout the bay. Salinity, which indicates the relative mixing of fresh and ocean waters in the bay, is derived from specific conductance measurements. Water temperature, along with salinity, affects the density of water, which causes gravity driven circulation patterns and stratification in the water column. Turbidity is measured using light-scattering from suspended solids in water, and is used as a surrogate for suspended-sediment concentration (SSC). Suspended sediment often carries adsorbed contaminants; attenuates sunlight in the water column; deposits on tidal marsh and intertidal mudflats, which can help sustain these habitats as sea level rises; and deposits in ports and shipping channels, which can necessitate dredging. Dissolved oxygen, which is essential to a healthy ecosystem, is a fundamental indicator of water quality, and its concentration is affected by water temperature, salinity, ecosystem metabolism, tidal currents, and wind. Tidal currents in the bay reverse four times a day, and wind direction and intensity typically change on a daily cycle: consequently, salinity, water temperature, suspendedsediment concentration, and dissolvedoxygen concentration vary spatially and temporally throughout the bay, and continuous measurements are needed to observe these changes. The purpose of this fact sheet is to inform the public and resource managers of the availability of these water-quality data.\r\n","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20143090","usgsCitation":"Buchanan, P.A., Downing-Kunz, M.A., Schoellhamer, D., Shellenbarger, G., and Weidich, K., 2014, Continuous water-quality and suspended-sediment transport monitoring in the San Francisco Bay, California, water years 2011–13: U.S. Geological Survey Fact Sheet 2014-3090, 4 p., https://doi.org/10.3133/fs20143090.","productDescription":"4 p.","ipdsId":"IP-050934","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true},{"id":552,"text":"San Francisco Bay-Delta","active":false,"usgs":true}],"links":[{"id":294438,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2014/3090/"},{"id":347671,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":347670,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2014/3090/pdf/fs2014-3090.pdf"}],"country":"United States","state":"California","otherGeospatial":"San Francisco Bay","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -123.01391601562499,\n 37.29153547292737\n ],\n [\n -121.33300781249999,\n 37.29153547292737\n ],\n [\n -121.33300781249999,\n 38.35027253825765\n ],\n [\n -123.01391601562499,\n 38.35027253825765\n ],\n [\n -123.01391601562499,\n 37.29153547292737\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5423cf09e4b037b608f9d3b9","contributors":{"authors":[{"text":"Buchanan, Paul A. 0000-0002-4796-4734 buchanan@usgs.gov","orcid":"https://orcid.org/0000-0002-4796-4734","contributorId":1018,"corporation":false,"usgs":true,"family":"Buchanan","given":"Paul","email":"buchanan@usgs.gov","middleInitial":"A.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":519347,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Downing-Kunz, Maureen A. 0000-0002-4879-0318 mdowning-kunz@usgs.gov","orcid":"https://orcid.org/0000-0002-4879-0318","contributorId":3690,"corporation":false,"usgs":true,"family":"Downing-Kunz","given":"Maureen","email":"mdowning-kunz@usgs.gov","middleInitial":"A.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":519349,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Schoellhamer, David H. 0000-0001-9488-7340 dschoell@usgs.gov","orcid":"https://orcid.org/0000-0001-9488-7340","contributorId":631,"corporation":false,"usgs":true,"family":"Schoellhamer","given":"David H.","email":"dschoell@usgs.gov","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":519346,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Shellenbarger, Gregory gshellen@usgs.gov","contributorId":1133,"corporation":false,"usgs":true,"family":"Shellenbarger","given":"Gregory","email":"gshellen@usgs.gov","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":false,"id":519348,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Weidich, Kurt kweidich@usgs.gov","contributorId":5922,"corporation":false,"usgs":true,"family":"Weidich","given":"Kurt","email":"kweidich@usgs.gov","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":519350,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70134311,"text":"ofr20141213 - 2014 - U.S. Geological Survey Science for the Wyoming Landscape Conservation Initiative - 2013 Annual Report","interactions":[],"lastModifiedDate":"2017-12-27T15:14:30","indexId":"ofr20141213","displayToPublicDate":"2014-01-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2014-1213","title":"U.S. Geological Survey Science for the Wyoming Landscape Conservation Initiative - 2013 Annual Report","docAbstract":"This is the sixth report produced by the U.S. Geological Survey (USGS) for the Wyoming Landscape Conservation Initiative (WLCI) to detail annual activities conducted by USGS for addressing specific management needs identified by WLCI partners. In FY2013, there were 25 ongoing and new projects conducted by the USGS. These projects fall into 8 major categories: (1) synthesizing and analyzing existing data to describe (model and map) current conditions on the landscape; (2) developing models for projecting past and future landscape conditions; (3) monitoring indicators of ecosystem conditions and the effectiveness of on-the-ground habitat projects; (4) conducting research to elucidate the mechanisms underlying wildlife and habitat responses to changing land uses; (5) managing and making accessible the large number of databases, maps, and other products being developed; (6) helping to integrate WLCI outcomes with future habitat enhancement and research projects; (7) coordinating efforts among WLCI partners; and (8) providing support to WLCI decision-makers and assisting with overall evaluation of the WLCI program. The two new projects initiated in FY2013 address (1) important agricultural lands in southwestern Wyoming, and (2) the influence of energy development on native fish communities. The remaining activities entailed our ongoing efforts to compile data, model landscape conditions, monitor trends in habitat conditions, conduct studies of wildlife responses to energy development, and upgrade Web-based products in support of both individual and overall WLCI efforts.\r\nMilestone FY2013 accomplishments included completing the development of a WLCI inventory and monitoring framework and the associated monitoring strategies, protocols, and analytics; and initial development of an Interagency Inventory and Monitoring Database, which will be accessible through the Monitoring page of the WLCI Web site at http://www.wlci.gov/monitoring. We also completed the initial phase of the mountain shrub-mapping project in the Big Piney-La Barge mule deer winter range. Finally, a 3-year survey of pygmy rabbits in four major gas-field areas was completed and used to validate the pygmy rabbit habitat model/map developed earlier in the project. Important products that became available for use by WLCI partners included publication of USGS Data Series report (http://pubs.usgs.gov/ds/800/pdf/ds800.pdf) that compiles our WLCI land cover and land use data, which depict current and historical patterns of sage-grouse habitat in relation to energy development and will be used to pose “what-if” scenarios to evaluate possible outcomes of alternative land-use strategies and practices on habitat and wildlife. Another important FY2013 product was a journal article (http://aapgbull.geoscienceworld.org/content/97/6/899.full) that describes the Mowry Shale and Frontier formation, which harbors coalbed methane and shale gas resources in Wyoming, Colorado, and Utah, for use in future scenario-building work. We also produced maps and databases that depict the structure and condition of aspen stands in the Little Mountain Ecosystem, and then presented this information to the Bureau of Land Management, Wyoming Game and Fish Department, and other interested entities for supporting aspen-management objectives.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston VA","doi":"10.3133/ofr20141213","usgsCitation":"Bowen, Z.H., Aldridge, C.L., Anderson, P.J., Assal, T.J., Bern, C., Biewick, L.R., Boughton, G.K., Chalfoun, A.D., Chong, G.W., Dematatis, M.K., Fedy, B., Garman, S.L., Germaine, S., Hethcoat, M.G., Homer, C.G., Huber, C., Kauffman, M., Latysh, N., Manier, D.J., Melcher, C.P., Miller, K.A., Potter, C.J., Schell, S., Sweat, M.J., Walters, A.W., and Wilson, A.B., 2014, U.S. Geological Survey Science for the Wyoming Landscape Conservation Initiative - 2013 Annual Report: U.S. Geological Survey Open-File Report 2014-1213, https://doi.org/10.3133/ofr20141213.","startPage":"60","ipdsId":"IP-058179","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":350222,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":296296,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2014/1213/"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"54759a1ee4b042f27ef134ef","contributors":{"authors":[{"text":"Bowen, Zachary H. 0000-0002-8656-1831 bowenz@usgs.gov","orcid":"https://orcid.org/0000-0002-8656-1831","contributorId":821,"corporation":false,"usgs":true,"family":"Bowen","given":"Zachary","email":"bowenz@usgs.gov","middleInitial":"H.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":525847,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Aldridge, Cameron L. 0000-0003-3926-6941 aldridgec@usgs.gov","orcid":"https://orcid.org/0000-0003-3926-6941","contributorId":191773,"corporation":false,"usgs":true,"family":"Aldridge","given":"Cameron","email":"aldridgec@usgs.gov","middleInitial":"L.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":false,"id":525848,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Anderson, Patrick J. 0000-0003-2281-389X andersonpj@usgs.gov","orcid":"https://orcid.org/0000-0003-2281-389X","contributorId":3590,"corporation":false,"usgs":true,"family":"Anderson","given":"Patrick","email":"andersonpj@usgs.gov","middleInitial":"J.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":525849,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Assal, Timothy J. 0000-0001-6342-2954 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mjsweat@usgs.gov","contributorId":356,"corporation":false,"usgs":true,"family":"Sweat","given":"Michael","email":"mjsweat@usgs.gov","middleInitial":"J.","affiliations":[{"id":5050,"text":"WY-MT Water Science Center","active":true,"usgs":true}],"preferred":true,"id":525869,"contributorType":{"id":1,"text":"Authors"},"rank":24},{"text":"Walters, Annika W. 0000-0002-8638-6682 awalters@usgs.gov","orcid":"https://orcid.org/0000-0002-8638-6682","contributorId":4190,"corporation":false,"usgs":true,"family":"Walters","given":"Annika","email":"awalters@usgs.gov","middleInitial":"W.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":525870,"contributorType":{"id":1,"text":"Authors"},"rank":25},{"text":"Wilson, Anna B. 0000-0002-9737-2614 awilson@usgs.gov","orcid":"https://orcid.org/0000-0002-9737-2614","contributorId":1619,"corporation":false,"usgs":true,"family":"Wilson","given":"Anna","email":"awilson@usgs.gov","middleInitial":"B.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":525871,"contributorType":{"id":1,"text":"Authors"},"rank":26}]}} ,{"id":70127907,"text":"70127907 - 2014 - \"Report a Landslide” A website to engage the public in identifying geologic hazards","interactions":[],"lastModifiedDate":"2018-08-21T17:07:20","indexId":"70127907","displayToPublicDate":"2014-01-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"\"Report a Landslide” A website to engage the public in identifying geologic hazards","docAbstract":"Direct observation by people is the most practical way of identifying, locating, and describing most damaging landslides. In an effort to increase public awareness of landslide hazards and encourage public participation in collecting basic data about landslides, the USGS recently launched a website called “Report a landslide.” The website is modeled in part after the highly successful USGS website “Did you feel it?” which has been used for several years to gather data from the public about intensity of felt earthquakes. The new “Report a landslide” website encourages visitors to report where and when they observed a landslide and to classify the landslide by movement type. Interested users also can report information about damage and casualties, dimensions, and simple geological observations, and can submit photographs of the landslide. Once a user submits a report, the location of the reported landslide appears on a map, and the location is linked to a summary of submitted data. Photos are reviewed prior to posting on the event page. By adding existing USGS data from historical landslides and promoting the website in the wake of large, regional landslide events, we hope to generate widespread awareness and interest in the website. The “Report a landslide” site has great potential for eventually creating a nationwide source of basic landslide data.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Landslide science for a safer geoenvironment, Vol.1: The International Programme on Landslides (IPL)","largerWorkSubtype":{"id":12,"text":"Conference publication"},"language":"English","publisher":"Springer","doi":"10.1007/978-3-319-04999-1_8","usgsCitation":"Baum, R.L., Highland, L.M., Lyttle, P.T., Fee, J., Martinez, E., and Wald, L.A., 2014, \"Report a Landslide” A website to engage the public in identifying geologic hazards, in Landslide science for a safer geoenvironment, Vol.1: The International Programme on Landslides (IPL), p. 95-100, https://doi.org/10.1007/978-3-319-04999-1_8.","productDescription":"6 p.","startPage":"95","endPage":"100","ipdsId":"IP-049597","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":339730,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationDate":"2014-04-30","publicationStatus":"PW","scienceBaseUri":"58f1e0cae4b08144348b7e1a","contributors":{"authors":[{"text":"Baum, Rex L. 0000-0001-5337-1970 baum@usgs.gov","orcid":"https://orcid.org/0000-0001-5337-1970","contributorId":1288,"corporation":false,"usgs":true,"family":"Baum","given":"Rex","email":"baum@usgs.gov","middleInitial":"L.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":519666,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Highland, Lynn M. highland@usgs.gov","contributorId":1292,"corporation":false,"usgs":true,"family":"Highland","given":"Lynn","email":"highland@usgs.gov","middleInitial":"M.","affiliations":[],"preferred":true,"id":519667,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lyttle, Peter T. plyttle@usgs.gov","contributorId":293,"corporation":false,"usgs":true,"family":"Lyttle","given":"Peter","email":"plyttle@usgs.gov","middleInitial":"T.","affiliations":[],"preferred":true,"id":519663,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Fee, Jeremy jmfee@usgs.gov","contributorId":3775,"corporation":false,"usgs":true,"family":"Fee","given":"Jeremy","email":"jmfee@usgs.gov","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":false,"id":519668,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Martinez, Eric emartinez@usgs.gov","contributorId":1111,"corporation":false,"usgs":true,"family":"Martinez","given":"Eric","email":"emartinez@usgs.gov","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":false,"id":519665,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Wald, Lisa A. 0000-0002-5467-0523 lisa@usgs.gov","orcid":"https://orcid.org/0000-0002-5467-0523","contributorId":449,"corporation":false,"usgs":true,"family":"Wald","given":"Lisa","email":"lisa@usgs.gov","middleInitial":"A.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":519664,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70147911,"text":"70147911 - 2014 - Development of a multimetric index for fish assemblages in a cold tailwater in Tennessee","interactions":[],"lastModifiedDate":"2015-05-08T11:03:49","indexId":"70147911","displayToPublicDate":"2014-01-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3624,"text":"Transactions of the American Fisheries Society","active":true,"publicationSubtype":{"id":10}},"title":"Development of a multimetric index for fish assemblages in a cold tailwater in Tennessee","docAbstract":"Tailwaters downstream of hypolimnetic-release hydropeaking dams exhibit a unique combination of stressors that affects the structure and function of resident fish assemblages. We developed a statistically and biologically defensible multimetric index of fish assemblages for the Caney Fork River below Center Hill Dam, Tennessee. Fish assemblages were sampled at five sites using boat-mounted and backpack electrofishing gear from fall 2009 through summer 2011. A multivariate statistical approach was used to select metrics that best reflected the downstream gradients in abiotic variables. Five metrics derived from boat electrofishing samples and four metrics derived from backpack electrofishing samples were selected for incorporation into the index based on their high correlation with environmental data. The nine metrics demonstrated predictable patterns of increase or decrease with increasing distance downstream of the dam. The multimetric index generally exhibited a pattern of increasing scores with increasing distance from the dam, indicating a downstream recovery gradient in fish assemblage composition. The index can be used to monitor anticipated changes in the fish communities of the Caney Fork River when repairs to Center Hill Dam are completed later this decade, resulting in altered dam operations.
","language":"English","publisher":"Taylor & Francis","doi":"10.1080/00028487.2013.866982","usgsCitation":"Ivasauskas, T.J., and Bettoli, P.W., 2014, Development of a multimetric index for fish assemblages in a cold tailwater in Tennessee: Transactions of the American Fisheries Society, v. 143, no. 2, p. 495-507, https://doi.org/10.1080/00028487.2013.866982.","productDescription":"13 p.","startPage":"495","endPage":"507","numberOfPages":"13","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-049161","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":300182,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Tennessee","otherGeospatial":"Caney Fork River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n 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Atlanta","active":true,"usgs":true}],"preferred":true,"id":546367,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70156247,"text":"70156247 - 2014 - Modeling structured population dynamics using data from unmarked individuals","interactions":[],"lastModifiedDate":"2017-02-13T15:08:48","indexId":"70156247","displayToPublicDate":"2014-01-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1465,"text":"Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Modeling structured population dynamics using data from unmarked individuals","docAbstract":"The study of population dynamics requires unbiased, precise estimates of abundance and vital rates that account for the demographic structure inherent in all wildlife and plant populations. Traditionally, these estimates have only been available through approaches that rely on intensive mark–recapture data. We extended recently developed N-mixture models to demonstrate how demographic parameters and abundance can be estimated for structured populations using only stage-structured count data. Our modeling framework can be used to make reliable inferences on abundance as well as recruitment, immigration, stage-specific survival, and detection rates during sampling. We present a range of simulations to illustrate the data requirements, including the number of years and locations necessary for accurate and precise parameter estimates. We apply our modeling framework to a population of northern dusky salamanders (Desmognathus fuscus) in the mid-Atlantic region (USA) and find that the population is unexpectedly declining. Our approach represents a valuable advance in the estimation of population dynamics using multistate data from unmarked individuals and should additionally be useful in the development of integrated models that combine data from intensive (e.g., mark–recapture) and extensive (e.g., counts) data sources.
Active long-path differential optical absorption spectroscopy (LP-DOAS) has been an effective tool for measuring atmospheric trace gases for several decades. However, instruments were large, heavy and power-inefficient, making their application to remote environments extremely challenging. Recent developments in fibre-coupling telescope technology and the availability of ultraviolet light emitting diodes (UV-LEDS) have now allowed us to design and construct a lightweight, portable, low-power LP-DOAS instrument for use at remote locations and specifically for measuring degassing from active volcanic systems. The LP-DOAS was used to measure sulfur dioxide (SO2) emissions from La Fossa crater, Vulcano, Italy, where column densities of up to 1.2 × 1018 molec cm−2 (~ 500 ppmm) were detected along open paths of up to 400 m in total length. The instrument's SO2 detection limit was determined to be 2 × 1016 molec cm−2 (~ 8 ppmm), thereby making quantitative detection of even trace amounts of SO2 possible. The instrument is capable of measuring other volcanic volatile species as well. Though the spectral evaluation of the recorded data showed that chlorine monoxide (ClO) and carbon disulfide (CS2) were both below the instrument's detection limits during the experiment, the upper limits for the X / SO2 ratio (X = ClO, CS2) could be derived, and yielded 2 × 10−3 and 0.1, respectively. The robust design and versatility of the instrument make it a promising tool for monitoring of volcanic degassing and understanding processes in a range of volcanic systems.
Conservation efforts for threatened or endangered species are challenging because the multi-scale factors that relate to their decline or inhibit their recovery are often unknown. To further exacerbate matters, the perceptions associated with the mechanisms of species decline are often viewed myopically rather than across the entire species range. We used over 80 years of fish presence data collected from the Great Plains and associated ecoregions of the United States, to investigate the relative influence of changing environmental factors on the historic and current truncated distributions of the Arkansas River shiner Notropis girardi. Arkansas River shiner represent a threatened reproductive ecotype considered especially well adapted to the harsh environmental extremes of the Great Plains. Historic (n = 163 records) and current (n = 47 records) species distribution models were constructed using a vector-based approach in MaxEnt by splitting the available data at a time when Arkansas River shiner dramatically declined. Discharge and stream order were significant predictors in both models; however, the shape of the relationship between the predictors and species presence varied between time periods. Drift distance (river fragment length available for ichthyoplankton downstream drift before meeting a barrier) was a more important predictor in the current model and indicated river segments 375–780 km had the highest probability of species presence. Performance for the historic and current models was high (area under the curve; AUC > 0.95); however, forecasting and backcasting to alternative time periods suggested less predictive power. Our results identify fragments that could be considered refuges for endemic plains fish species and we highlight significant environmental factors (e.g., discharge) that could be manipulated to aid recovery.
","language":"English","publisher":"Wiley","doi":"10.1111/gcb.12329","usgsCitation":"Worthington, T.A., Brewer, S.K., Grabowski, T.B., and Mueller, J., 2014, Backcasting the decline of a vulnerable Great Plains reproductive ecotype: identifying threats and conservation priorities: Global Change Biology, v. 20, no. 1, p. 89-102, https://doi.org/10.1111/gcb.12329.","productDescription":"14 p.","startPage":"89","endPage":"102","numberOfPages":"14","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-045497","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":300250,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Great Plains","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -107.9736328125,\n 34.052659421375964\n ],\n [\n -107.9736328125,\n 40.245991504199026\n ],\n [\n -91.49414062499999,\n 40.245991504199026\n ],\n [\n -91.49414062499999,\n 34.052659421375964\n ],\n [\n -107.9736328125,\n 34.052659421375964\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"20","issue":"1","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationDate":"2013-10-16","publicationStatus":"PW","scienceBaseUri":"554dde29e4b082ec54129f19","contributors":{"authors":[{"text":"Worthington, Thomas A.","contributorId":140662,"corporation":false,"usgs":false,"family":"Worthington","given":"Thomas","email":"","middleInitial":"A.","affiliations":[{"id":7249,"text":"Oklahoma State University","active":true,"usgs":false}],"preferred":false,"id":546500,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Brewer, Shannon K. 0000-0002-1537-3921 skbrewer@usgs.gov","orcid":"https://orcid.org/0000-0002-1537-3921","contributorId":2252,"corporation":false,"usgs":true,"family":"Brewer","given":"Shannon","email":"skbrewer@usgs.gov","middleInitial":"K.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true},{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":546501,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Grabowski, Timothy B. 0000-0001-9763-8948 tgrabowski@usgs.gov","orcid":"https://orcid.org/0000-0001-9763-8948","contributorId":4178,"corporation":false,"usgs":true,"family":"Grabowski","given":"Timothy","email":"tgrabowski@usgs.gov","middleInitial":"B.","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":546502,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Mueller, Julia","contributorId":140663,"corporation":false,"usgs":false,"family":"Mueller","given":"Julia","affiliations":[],"preferred":false,"id":546503,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70196084,"text":"70196084 - 2014 - Mapping advanced argillic alteration at Cuprite, Nevada, using imaging spectroscopy","interactions":[],"lastModifiedDate":"2018-03-29T15:07:37","indexId":"70196084","displayToPublicDate":"2014-01-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1472,"text":"Economic Geology","active":true,"publicationSubtype":{"id":10}},"title":"Mapping advanced argillic alteration at Cuprite, Nevada, using imaging spectroscopy","docAbstract":"Mineral maps based on Airborne Visible/Infrared Imaging Spectrometer (AVIRIS) data were used to study late Miocene advanced argillic alteration at Cuprite, Nevada. Distributions of Fe-bearing minerals, clays, micas, sulfates, and carbonates were mapped using the Tetracorder spectral-shape matching system. The Al content of white micas increases toward altered areas and near intrusive rocks. Alunite composition varies from pure K to intimate mixtures of Na-K endmembers with subpixel occurrences of huangite, the Ca analogue of alunite. Intimately mixed Na-K alunite marks areas of relatively lower alteration temperature, whereas co-occurring Na-alunite and dickite may delineate relict hydrothermal conduits. The presence of dickite, halloysite, and well-ordered kaolinite, but absence of disordered kaolinite, is consistent with acidic conditions during hydrothermal alteration. Partial lichen cover on opal spectrally mimics chalcedony, limiting its detection to lichen-free areas. Pods of buddingtonite are remnants of initial quartz-adularia-smectite alteration. Thus, spectral maps provide a synoptic view of the surface mineralogy, and define a previously unrecognized early steam-heated hydrothermal event.
Faulting and episodes of hydrothermal alteration at Cuprite were intimately linked to upper plate movements above the Silver Peak-Lone Mountain detachment and growth, collapse, and resurgence of the nearby Stonewall Mountain volcanic complex between 8 and 5 Ma. Isotopic dating indicates that hydrothermal activity started at least by 7.61 Ma and ended by about 6.2 Ma. Spectral and stable isotope data suggest that Cuprite is a late Miocene low-sulfidation adularia-sericite type hot spring deposit overprinted by late-stage, steam-heated advanced argillic alteration formed along the margin of the Stonewall Mountain caldera.
","language":"English","publisher":"Society of Economic Geologists","doi":"10.2113/econgeo.109.5.1179","usgsCitation":"Swayze, G.A., Clark, R.N., Goetz, A., Livo, K., Breit, G.N., Kruse, F.A., Sutley, S.J., Snee, L., Lowers, H., Post, J.L., Stoffregen, R.E., and Ashley, R.P., 2014, Mapping advanced argillic alteration at Cuprite, Nevada, using imaging spectroscopy: Economic Geology, v. 109, no. 5, p. 1179-1221, https://doi.org/10.2113/econgeo.109.5.1179.","productDescription":"43 p.","startPage":"1179","endPage":"1221","costCenters":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":352616,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":352959,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://bit.ly/2J6IshC","linkFileType":{"id":1,"text":"pdf"}}],"country":"United States","state":"Nevada","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -117.25,\n 37.5\n ],\n [\n -117.15,\n 37.5\n ],\n [\n -117.15,\n 37.56666667\n ],\n [\n -117.25,\n 37.56666667\n ],\n [\n -117.25,\n 37.5\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"109","issue":"5","noUsgsAuthors":false,"publicationDate":"2014-05-15","publicationStatus":"PW","scienceBaseUri":"5afeee10e4b0da30c1bfc74b","contributors":{"authors":[{"text":"Swayze, Gregg A. 0000-0002-1814-7823 gswayze@usgs.gov","orcid":"https://orcid.org/0000-0002-1814-7823","contributorId":518,"corporation":false,"usgs":true,"family":"Swayze","given":"Gregg","email":"gswayze@usgs.gov","middleInitial":"A.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true},{"id":309,"text":"Geology and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":731250,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Clark, Roger N. 0000-0002-7021-1220 rclark@usgs.gov","orcid":"https://orcid.org/0000-0002-7021-1220","contributorId":515,"corporation":false,"usgs":true,"family":"Clark","given":"Roger","email":"rclark@usgs.gov","middleInitial":"N.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":731251,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Goetz, Alexander F.H.","contributorId":89805,"corporation":false,"usgs":true,"family":"Goetz","given":"Alexander F.H.","affiliations":[],"preferred":false,"id":731252,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Livo, K. 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These avalanches are typically difficult to trigger, yet when they are triggered they tend to propagate far and result in large and destructive avalanches. For this work we define deep slab avalanches as those that fail on persistent weak layers deeper than 0.9m (3 feet), and that occur after February 1st. We utilized a 44-year record of avalanche control and meteorological data from Bridger Bowl Ski Area to test the usefulness of meteorological variables for predicting deep slab avalanches. As in previous studies, we used data from the days preceding deep slab cycles, but we also considered meteorological metrics over the early months of the season. We utilized classification trees for our analyses. Our results showed warmer temperatures in the prior twenty-four hours and more loading over the seven days before days with deep slab avalanches on persistent weak layers. In line with previous research, extended periods of above freezing temperatures led to days with deep wet slab avalanches on persistent weak layers. Seasons with either dry or wet avalanches on deep persistent weak layers typically had drier early months, and often had some significant snow depth prior to those dry months. This paper provides insights for ski patrollers, guides, and avalanche forecasters who struggle to forecast deep slab avalanches on persistent weak layers late in the season.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Proceedings, International Snow Science Workshop, Banff, 2014 ","largerWorkSubtype":{"id":12,"text":"Conference publication"},"language":"English","publisher":"ISSW","usgsCitation":"Marienthal, A., Hendrikx, J., Birkeland, K.W., and Irvine, K.M., 2014, Meteorological variables associated with deep slab avalanches on persistent weak layers, in Proceedings, International Snow Science Workshop, Banff, 2014 , p. 21-28.","productDescription":"8 p.","startPage":"21","endPage":"28","ipdsId":"IP-059242","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":328143,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":325996,"type":{"id":15,"text":"Index Page"},"url":"https://arc.lib.montana.edu/snow-science/item.php?id=2023"}],"publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57c7ffbae4b0f2f0cebfc2fc","contributors":{"authors":[{"text":"Marienthal, Alex","contributorId":173365,"corporation":false,"usgs":false,"family":"Marienthal","given":"Alex","email":"","affiliations":[{"id":27212,"text":"Snow and Avalanche Laboratory, Montana State University, Bozeman, MT, USA","active":true,"usgs":false}],"preferred":false,"id":644422,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hendrikx, Jordy 0000-0001-6194-3596","orcid":"https://orcid.org/0000-0001-6194-3596","contributorId":140954,"corporation":false,"usgs":false,"family":"Hendrikx","given":"Jordy","email":"","affiliations":[{"id":13628,"text":"Department of Earth Sciences, P.O. Box 173480, Montana State University, Bozeman, MT, USA. 59717.","active":true,"usgs":false}],"preferred":false,"id":644423,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Birkeland, Karl W.","contributorId":173366,"corporation":false,"usgs":false,"family":"Birkeland","given":"Karl","middleInitial":"W.","affiliations":[{"id":27213,"text":"USDA Forest Service National Avalanche Center, Bozeman, MT, USA","active":true,"usgs":false}],"preferred":false,"id":644424,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Irvine, Kathryn M. 0000-0002-6426-940X kirvine@usgs.gov","orcid":"https://orcid.org/0000-0002-6426-940X","contributorId":2218,"corporation":false,"usgs":true,"family":"Irvine","given":"Kathryn","email":"kirvine@usgs.gov","middleInitial":"M.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":644421,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70175378,"text":"70175378 - 2014 - Summary of preliminary step-trend analysis from the Interagency Whitebark Pine Long-termMonitoring Program—2004-2013","interactions":[],"lastModifiedDate":"2016-10-13T13:50:38","indexId":"70175378","displayToPublicDate":"2014-01-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":1,"text":"Federal Government Series"},"seriesTitle":{"id":52,"text":"Natural Resource Data Series","active":false,"publicationSubtype":{"id":1}},"seriesNumber":"NPS/GRYN/NRDS—2014/600","title":"Summary of preliminary step-trend analysis from the Interagency Whitebark Pine Long-termMonitoring Program—2004-2013","docAbstract":"In mixed and dominant stands, whitebark pine (Pinus albicaulis) occurs in over two million acres within the six national forests and two national parks that comprise the Greater Yellowstone Ecosystem (GYE). Currently, whitebark pine, an ecologically important species, is impacted by multiple ecological disturbances; white pine blister rust (Cronartium ribicola), mountain pine beetle (Dendroctonus ponderosae), wildfire, and climate change all pose significant threats to the persistence of whitebark pine populations. Substantial declines in whitebark pine populations have been documented throughout its range.
Under the auspices of the Greater Yellowstone Coordinating Committee (GYCC), several agencies began a collaborative, long-term monitoring program to track and document the status of whitebark pine across the GYE. This alliance resulted in the formation of the Greater Yellowstone Whitebark Pine Monitoring Working Group (GYWPMWG), which consists of representatives from the U.S. Forest Service (USFS), National Park Service (NPS), U.S. Geological Survey (USGS), and Montana State University (MSU). This groundbased monitoring program was initiated in 2004 and follows a peer-reviewed protocol (GYWPMWG 2011). The program is led by the Greater Yellowstone Inventory and Monitoring Network (GRYN) of the National Park Service in coordination with multiple agencies. More information about this monitoring effort is available at: http://science. nature.nps.gov/im/units/gryn/monitor/whitebark_pine.cfm.
The purpose of this report is to provide a draft summary of the first step-trend analysis for the interagency, long-term monitoring of whitebark pine health to the Interagency Grizzly Bear Study Team (IGBST) as part of a synthesis of the state of whitebark pine in the GYE. Due to the various stages of the analyses and reporting, this is the most efficient way to provide these results to the IGBST.
","language":"English","publisher":"National Park Service","publisherLocation":"Fort Collins, CO","usgsCitation":"Legg, K., Shanahan, E., Daley, R., and Irvine, K.M., 2014, Summary of preliminary step-trend analysis from the Interagency Whitebark Pine Long-termMonitoring Program—2004-2013: Natural Resource Data Series NPS/GRYN/NRDS—2014/600, vi, 16 p.","productDescription":"vi, 16 p.","numberOfPages":"24","ipdsId":"IP-053283","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":329539,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":329538,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://irma.nps.gov/DataStore/Reference/Profile/2206461"}],"country":"United States","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -113.477783203125,\n 42.147114459220994\n ],\n [\n -113.477783203125,\n 45.92822950933618\n ],\n [\n -108.56689453125,\n 45.92822950933618\n ],\n [\n -108.56689453125,\n 42.147114459220994\n ],\n [\n -113.477783203125,\n 42.147114459220994\n ]\n ]\n ]\n }\n }\n ]\n}","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57ffdf00e4b0824b2d179d02","contributors":{"authors":[{"text":"Legg, Kristin","contributorId":146451,"corporation":false,"usgs":false,"family":"Legg","given":"Kristin","affiliations":[{"id":16697,"text":"National Park Service, Greater Yellowstone Network, 2327 University Way, Suite 2, Bozeman, MT 59715, USA","active":true,"usgs":false}],"preferred":false,"id":644984,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Shanahan, Erin","contributorId":173524,"corporation":false,"usgs":false,"family":"Shanahan","given":"Erin","affiliations":[{"id":27242,"text":"Greater Yellowstone Inventory and Monitoring Network, NPS","active":true,"usgs":false}],"preferred":false,"id":644985,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Daley, Rob","contributorId":146450,"corporation":false,"usgs":false,"family":"Daley","given":"Rob","affiliations":[{"id":16696,"text":"5National Park Service, Greater Yellowstone Network, 2327 University Way, Suite 2, Bozeman, MT 59715, USA","active":true,"usgs":false}],"preferred":false,"id":644986,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Irvine, Kathryn M. 0000-0002-6426-940X kirvine@usgs.gov","orcid":"https://orcid.org/0000-0002-6426-940X","contributorId":2218,"corporation":false,"usgs":true,"family":"Irvine","given":"Kathryn","email":"kirvine@usgs.gov","middleInitial":"M.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":644983,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70178389,"text":"70178389 - 2014 - Water quality monitoring protocol for wadeable streams and rivers in the Northern Great Plains Network","interactions":[],"lastModifiedDate":"2018-02-12T13:26:08","indexId":"70178389","displayToPublicDate":"2014-01-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":1,"text":"Federal Government Series"},"seriesTitle":{"id":53,"text":"Natural Resource Report","active":false,"publicationSubtype":{"id":1}},"seriesNumber":"NPS/NGPN/NRR—2014/868","title":"Water quality monitoring protocol for wadeable streams and rivers in the Northern Great Plains Network","docAbstract":"Preserving the national parks unimpaired for the enjoyment of future generations is a fundamental purpose of the National Park Service (NPS). To address growing concerns regarding the overall physical, chemical, and biological elements and processes of park ecosystems, the NPS implemented science-based management through “Vital Signs” monitoring in 270 national parks (NPS 2007). The Northern Great Plains Network (NGPN) is among the 32 National Park Service Networks participating in this monitoring effort. The NGPN will develop protocols over the next several years to determine the overall health or condition of resources within 13 parks located in Nebraska, North Dakota, South Dakota, and Wyoming.\nThe NGPN identified water resources as a Vital Sign to monitor because water quality and quantity are important aspects of ecological processes that operate across multiple temporal and spatial scales. In the semi-arid region of the Northern Great Plains, surface-water resources within the NGPN are ecologically important. The 13 parks within the NGPN are diverse and vary greatly in size, visitation, and water resources. For example, the measured surface area of the Badlands National Park is about 243,000 acres, which represents nearly one-half of the combined acreage of all 13 NGPN park units; however, water resources within the park are scarce and the majority of streams are intermittent. The Badlands National Park annually hosts nearly 860,000 visitors. Mount Rushmore National Memorial also has limited water resources but hosts nearly 3 million visitors per year within its 1,278 acres. The Missouri National Recreational River contains the greatest portion of waterbodies within the NGPN, consisting of 139 rivers and streams within an areal extent of about 69,000 acres. Although water resources and acreage of the NGPN parks are varied, unifying factors among the parks include the relatively low population density within the Great Plains area and the strong emphasis on agrarian land use throughout the region.\nTo address the diverse water quality concerns, NGPN received input from park staff and conducted pilot studies in 2009 and 2010. These factors, in combination with the NGPN budget allocations, resulted in development of the NGPN’s water quality monitoring protocol. This protocol will provide a context to aid park resource managers in their day-to-day decisions and allow the assessment of the status (current conditions) and trends (directional changes across time) of streams/rivers within selected NGPN parks. Data collected from integrating water resource monitoring, in combination with the inventory of additional Vital Signs, can be used to assess resources and to aid in sound managerial decisions by the NGPN parks.\nAs recommended by Oakley et al. (2003), this protocol provides a narrative and the rationale for selection of streams and rivers within the NGPN that will be measured for water quality, including dissolved oxygen, pH, specific conductivity, and temperature. Standard operating procedures (SOPs) that detail the steps to collect, manage, and disseminate the NGPN water quality data are in an accompanying document. The sampling design documented in this protocol may be updated as monitoring information is collected and interpreted, and as refinement of methodologies develop through time. In addition, evaluation of data and refinement of the program may necessitate potential changes of program objectives. Changes to the NGPN water quality protocols and SOPs will be carefully documented in a revision history log.","language":"English","publisher":"National Park Service","usgsCitation":"Wilson, M.H., Rowe, B.L., Gitzen, R.A., Wilson, S.K., and Paintner-Green, K.J., 2014, Water quality monitoring protocol for wadeable streams and rivers in the Northern Great Plains Network: Natural Resource Report NPS/NGPN/NRR—2014/868, xxi., 52p.","productDescription":"xxi., 52p.","ipdsId":"IP-042869","costCenters":[{"id":562,"text":"South Dakota Water Science Center","active":true,"usgs":true},{"id":34685,"text":"Dakota Water Science Center","active":true,"usgs":true}],"links":[{"id":332301,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":331056,"type":{"id":15,"text":"Index Page"},"url":"https://irma.nps.gov/DataStore/Reference/Profile/2216799"}],"country":"United States","state":"Colorado, Montana, Nebraska, North Dakota, South Dakota","otherGeospatial":"Northern Great Plains ","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -96.21826171874999,\n 42.27730877423709\n ],\n [\n -100.5029296875,\n 40.17887331434696\n ],\n [\n -103.22753906249999,\n 39.87601941962116\n ],\n [\n -105.09521484375,\n 40.48038142908172\n ],\n [\n -106.2158203125,\n 42.73087427928485\n ],\n [\n -106.06201171875,\n 45.79816953017265\n ],\n [\n -106.10595703125,\n 48.1367666796927\n ],\n [\n -105.75439453125,\n 49.023461463214126\n ],\n [\n -97.31689453125,\n 49.023461463214126\n ],\n [\n -97.1630859375,\n 48.67645370777654\n ],\n [\n -97.09716796875,\n 47.88688085106901\n ],\n [\n -96.8115234375,\n 47.12995075666307\n ],\n [\n -96.61376953125,\n 46.210249600187225\n ],\n [\n -96.85546875,\n 45.66012730272194\n ],\n [\n -96.416015625,\n 45.336701909968134\n ],\n [\n -96.48193359375,\n 43.34116005412307\n ],\n [\n -96.50390625,\n 42.601619944327965\n ],\n [\n -96.328125,\n 42.374778361114195\n ],\n [\n -96.21826171874999,\n 42.27730877423709\n ]\n ]\n ]\n }\n }\n ]\n}","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5859000ae4b03639a6025e37","contributors":{"authors":[{"text":"Wilson, Marcia H.","contributorId":6149,"corporation":false,"usgs":true,"family":"Wilson","given":"Marcia","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":653915,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rowe, Barbara L. blrowe@usgs.gov","contributorId":2673,"corporation":false,"usgs":true,"family":"Rowe","given":"Barbara","email":"blrowe@usgs.gov","middleInitial":"L.","affiliations":[{"id":562,"text":"South Dakota Water Science Center","active":true,"usgs":true}],"preferred":true,"id":653913,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gitzen, Robert A.","contributorId":75498,"corporation":false,"usgs":true,"family":"Gitzen","given":"Robert","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":653916,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wilson, Stephen K.","contributorId":191011,"corporation":false,"usgs":false,"family":"Wilson","given":"Stephen","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":653917,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Paintner-Green, Kara J.","contributorId":176899,"corporation":false,"usgs":false,"family":"Paintner-Green","given":"Kara","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":653914,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70160725,"text":"70160725 - 2014 - Fisheries research and monitoring activities of the Lake Erie Biological Station, 2013","interactions":[],"lastModifiedDate":"2016-10-20T10:06:45","indexId":"70160725","displayToPublicDate":"2014-01-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":9,"text":"Other Report"},"title":"Fisheries research and monitoring activities of the Lake Erie Biological Station, 2013","docAbstract":"In 2013, the U.S. Geological Survey’s Lake Erie Biological Station successfully completed large vessel surveys in all three of Lake Erie’s basins. Lake Erie Biological Station’s primary vessel surveys included the Western Basin Forage Fish Assessment and East Harbor Forage Fish Assessment as well as contributing to the cooperative multi-agency Central Basin Hydroacoustics Assessment and the Eastern Basin Coldwater Community Assessment (see Forage Task Group and Coldwater Task Group reports, respectively). Further large vessel sampling included individual research data collection as well as assisting with University (e.g., University of Toledo) and agency (e.g., USFWS, USEPA) large vessel sampling needs. Our 2013 vessel operations began on April 4th and concluded on November 21 with a total of 77 large vessel sampling days (83 total days). During this time, crews of the R/V Muskie and R/V Bowfin deployed 174 trawls covering 147 km of lake-bottom, over 13 km of gillnet, collected hydroacoustic data that extended over 250 km of the central and eastern basins, and approximately 180 collective zooplankton, benthos, and water samples.
2013 was the first complete sampling year using the R/V Muskie. Technologies available on the new platform provided opportunities for LEBS to improve data sampling methods and results. An investment was made in mensuration gear for the trawls. This gear is attached to the trawl’s headrope, footrope, and wings; thus, allowing measurement of the area swept and conversion of catches to densities. Another improvement included real-time output of water parameter sonde profiles (e.g., temperature, dissolved oxygen). The ability to view profile data on a tablet allowed quick identification of thermoclines as well as the presence (or absence) of hypoxia. Minor modifications were made to survey designs relative to last year (see 2013 report), and thus, collection of long-term data from the R/V Muskie has commenced. One minor change was that we are now indexing yellow perch maturation data during our fall trawl surveys in response to a request from the Lake Erie Yellow Perch Task Group. Within the following sections, we describe results from our 2013 sampling efforts in Lake Erie.
","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"Compiled Reports to the Great Lakes Fishery Commission of the Annual Bottom Trawl and Acoustic Surveys, 2013","largerWorkSubtype":{"id":9,"text":"Other Report"},"language":"English","publisher":"Great Lakes Fishery Commission","usgsCitation":"Kraus, R.T., Rogers, M.W., Kocovsky, P., Edwards, W., Bodamer Scarbro, B.L., Keretz, K.R., and Berkman, S.A., 2014, Fisheries research and monitoring activities of the Lake Erie Biological Station, 2013, 43 p.","productDescription":"43 p.","startPage":"3","endPage":"45","ipdsId":"IP-055461","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":330112,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":313004,"type":{"id":15,"text":"Index Page"},"url":"https://www.glfc.org/lakecom/common_docs/Compiled%20Reports%20from%20USGS%202014.pdf"}],"publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5809d7c4e4b0f497e78fca73","contributors":{"authors":[{"text":"Kraus, Richard T. 0000-0003-4494-1841 rkraus@usgs.gov","orcid":"https://orcid.org/0000-0003-4494-1841","contributorId":2609,"corporation":false,"usgs":true,"family":"Kraus","given":"Richard","email":"rkraus@usgs.gov","middleInitial":"T.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":583697,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rogers, Mark W. 0000-0001-7205-5623 mwrogers@usgs.gov","orcid":"https://orcid.org/0000-0001-7205-5623","contributorId":4590,"corporation":false,"usgs":true,"family":"Rogers","given":"Mark","email":"mwrogers@usgs.gov","middleInitial":"W.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true},{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":583695,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kocovsky, Patrick 0000-0003-4325-4265 pkocovsky@usgs.gov","orcid":"https://orcid.org/0000-0003-4325-4265","contributorId":150837,"corporation":false,"usgs":true,"family":"Kocovsky","given":"Patrick","email":"pkocovsky@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":583696,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Edwards, William wedwards@usgs.gov","contributorId":3668,"corporation":false,"usgs":true,"family":"Edwards","given":"William","email":"wedwards@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":583699,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bodamer Scarbro, Betsy L. 0000-0002-9022-7027 bbodamerscarbro@usgs.gov","orcid":"https://orcid.org/0000-0002-9022-7027","contributorId":5857,"corporation":false,"usgs":true,"family":"Bodamer Scarbro","given":"Betsy","email":"bbodamerscarbro@usgs.gov","middleInitial":"L.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":583698,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Keretz, Kevin R. 0000-0002-4808-8350 kkeretz@usgs.gov","orcid":"https://orcid.org/0000-0002-4808-8350","contributorId":5859,"corporation":false,"usgs":true,"family":"Keretz","given":"Kevin","email":"kkeretz@usgs.gov","middleInitial":"R.","affiliations":[{"id":17848,"text":"Mississippi State University","active":true,"usgs":false},{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":false,"id":583701,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Berkman, Stephanie A. sberkman@usgs.gov","contributorId":5858,"corporation":false,"usgs":true,"family":"Berkman","given":"Stephanie","email":"sberkman@usgs.gov","middleInitial":"A.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":583700,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ]}