{"pageNumber":"1319","pageRowStart":"32950","pageSize":"25","recordCount":165326,"records":[{"id":70188033,"text":"70188033 - 2014 - Application of spatially gridded temperature and land cover data sets for urban heat island analysis","interactions":[],"lastModifiedDate":"2017-05-31T15:15:03","indexId":"70188033","displayToPublicDate":"2014-06-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5408,"text":"Urban Climate","active":true,"publicationSubtype":{"id":10}},"title":"Application of spatially gridded temperature and land cover data sets for urban heat island analysis","docAbstract":"

Two gridded data sets that included (1) daily mean temperatures from 2006 through 2011 and (2) satellite-derived impervious surface area, were combined for a spatial analysis of the urban heat-island effect within the Dallas-Ft. Worth Texas region. The primary advantage of using these combined datasets included the capability to designate each 1 × 1 km grid cell of available temperature data as urban or rural based on the level of impervious surface area within the grid cell. Generally, the observed differences in urban and rural temperature increased as the impervious surface area thresholds used to define an urban grid cell were increased. This result, however, was also dependent on the size of the sample area included in the analysis. As the spatial extent of the sample area increased and included a greater number of rural defined grid cells, the observed urban and rural differences in temperature also increased. A cursory comparison of the spatially gridded temperature observations with observations from climate stations suggest that the number and location of stations included in an urban heat island analysis requires consideration to assure representative samples of each (urban and rural) environment are included in the analysis.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.uclim.2014.04.005","usgsCitation":"Gallo, K., and Xian, G.Z., 2014, Application of spatially gridded temperature and land cover data sets for urban heat island analysis: Urban Climate, v. 8, p. 1-10, https://doi.org/10.1016/j.uclim.2014.04.005.","productDescription":"10 p.","startPage":"1","endPage":"10","ipdsId":"IP-053639","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":341957,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Texas","city":"Dallas, Ft. Worth","volume":"8","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"592fd63fe4b0e9bd0ea89704","contributors":{"authors":[{"text":"Gallo, Kevin 0000-0001-9162-5011 kgallo@usgs.gov","orcid":"https://orcid.org/0000-0001-9162-5011","contributorId":192334,"corporation":false,"usgs":true,"family":"Gallo","given":"Kevin","email":"kgallo@usgs.gov","affiliations":[],"preferred":true,"id":696260,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Xian, George Z. 0000-0001-5674-2204 xian@usgs.gov","orcid":"https://orcid.org/0000-0001-5674-2204","contributorId":2263,"corporation":false,"usgs":true,"family":"Xian","given":"George","email":"xian@usgs.gov","middleInitial":"Z.","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":true,"id":696259,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70186889,"text":"70186889 - 2014 - Relationships between water and gas chemistry in mature coalbed methane reservoirs of the Black Warrior Basin","interactions":[],"lastModifiedDate":"2017-04-13T13:05:36","indexId":"70186889","displayToPublicDate":"2014-06-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2033,"text":"International Journal of Coal Geology","active":true,"publicationSubtype":{"id":10}},"title":"Relationships between water and gas chemistry in mature coalbed methane reservoirs of the Black Warrior Basin","docAbstract":"

Water and gas chemistry in coalbed methane reservoirs of the Black Warrior Basin reflects a complex interplay among burial processes, basin hydrodynamics, thermogenesis, and late-stage microbial methanogenesis. These factors are all important considerations for developing production and water management strategies. Produced water ranges from nearly potable sodium-bicarbonate water to hypersaline sodium-chloride brine. The hydrodynamic framework of the basin is dominated by structurally controlled fresh-water plumes that formed by meteoric recharge along the southeastern margin of the basin. The produced water contains significant quantities of hydrocarbons and nitrogen compounds, and the produced gas appears to be of mixed thermogenic-biogenic origin.

Late-stage microbial methanogenesis began following unroofing of the basin, and stable isotopes in the produced gas and in mineral cements indicate that late-stage methanogenesis occurred along a CO2-reduction metabolic pathway. Hydrocarbons, as well as small amounts of nitrate in the formation water, probably helped nourish the microbial consortia, which were apparently active in fresh to hypersaline water. The produced water contains NH4+ and NH3, which correlate strongly with brine concentration and are interpreted to be derived from silicate minerals. Denitrification reactions may have generated some N2, which is the only major impurity in the coalbed gas. Carbon dioxide is a minor component of the produced gas, but significant quantities are dissolved in the formation water. Degradation of organic compounds, augmented by deionization of NH4+, may have been the principal sources of hydrogen facilitating late-stage CO2 reduction.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.coal.2013.10.002","usgsCitation":"Pashin, J.C., McIntyre-Redden, M.R., Mann, S.D., Kopaska-Merkel, D.C., Varonka, M.S., and Orem, W.H., 2014, Relationships between water and gas chemistry in mature coalbed methane reservoirs of the Black Warrior Basin: International Journal of Coal Geology, v. 126, p. 92-105, https://doi.org/10.1016/j.coal.2013.10.002.","productDescription":"14 p.","startPage":"92","endPage":"105","ipdsId":"IP-046063","costCenters":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":339689,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alabama","otherGeospatial":"Black Warrior Basin","volume":"126","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58f08e63e4b06911a29fa85e","contributors":{"authors":[{"text":"Pashin, Jack C.","contributorId":190847,"corporation":false,"usgs":false,"family":"Pashin","given":"Jack","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":690868,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McIntyre-Redden, Marcella R.","contributorId":190845,"corporation":false,"usgs":false,"family":"McIntyre-Redden","given":"Marcella","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":690866,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mann, Steven D.","contributorId":190741,"corporation":false,"usgs":false,"family":"Mann","given":"Steven","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":690867,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kopaska-Merkel, David C.","contributorId":190859,"corporation":false,"usgs":false,"family":"Kopaska-Merkel","given":"David","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":690905,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Varonka, Matthew S. 0000-0003-3620-5262 mvaronka@usgs.gov","orcid":"https://orcid.org/0000-0003-3620-5262","contributorId":4726,"corporation":false,"usgs":true,"family":"Varonka","given":"Matthew","email":"mvaronka@usgs.gov","middleInitial":"S.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":690865,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Orem, William H. 0000-0003-4990-0539 borem@usgs.gov","orcid":"https://orcid.org/0000-0003-4990-0539","contributorId":577,"corporation":false,"usgs":true,"family":"Orem","given":"William","email":"borem@usgs.gov","middleInitial":"H.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":690864,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70186574,"text":"70186574 - 2014 - Global ocean conveyor lowers extinction risk in the deep sea","interactions":[],"lastModifiedDate":"2017-04-05T15:54:55","indexId":"70186574","displayToPublicDate":"2014-06-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1369,"text":"Deep Sea Research Part A, Oceanographic Research Papers","active":true,"publicationSubtype":{"id":10}},"title":"Global ocean conveyor lowers extinction risk in the deep sea","docAbstract":"

General paradigms of species extinction risk are urgently needed as global habitat loss and rapid climate change threaten Earth with what could be its sixth mass extinction. Using the stony coral Lophelia pertusa as a model organism with the potential for wide larval dispersal, we investigated how the global ocean conveyor drove an unprecedented post-glacial range expansion in Earth׳s largest biome, the deep sea. We compiled a unique ocean-scale dataset of published radiocarbon and uranium-series dates of fossil corals, the sedimentary protactinium–thorium record of Atlantic meridional overturning circulation (AMOC) strength, authigenic neodymium and lead isotopic ratios of circulation pathways, and coral biogeography, and integrated new Bayesian estimates of historic gene flow. Our compilation shows how the export of Southern Ocean and Mediterranean waters after the Younger Dryas 11.6 kyr ago simultaneously triggered two dispersal events in the western and eastern Atlantic respectively. Each pathway injected larvae from refugia into ocean currents powered by a re-invigorated AMOC that led to the fastest postglacial range expansion ever recorded, covering 7500 km in under 400 years. In addition to its role in modulating global climate, our study illuminates how the ocean conveyor creates broad geographic ranges that lower extinction risk in the deep sea.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.dsr.2014.03.004","usgsCitation":"Henry, L., Frank, N., Hebbeln, D., Weinberg, C., Robinson, L., van de Flierdt, T., Dahl, M., Douarin, M., Morrison, C.L., Correa, M.L., Rogers, A.D., Ruckelshausen, M., and Roberts, J., 2014, Global ocean conveyor lowers extinction risk in the deep sea: Deep Sea Research Part A, Oceanographic Research Papers, v. 88, p. 8-16, https://doi.org/10.1016/j.dsr.2014.03.004.","productDescription":"9 p.","startPage":"8","endPage":"16","ipdsId":"IP-051918","costCenters":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"links":[{"id":472973,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.dsr.2014.03.004","text":"Publisher Index Page"},{"id":339266,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"88","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58e60273e4b09da6799ac689","chorus":{"doi":"10.1016/j.dsr.2014.03.004","url":"http://dx.doi.org/10.1016/j.dsr.2014.03.004","publisher":"Elsevier BV","authors":"Henry Lea-Anne, Frank Norbert, Hebbeln Dierk, Wienberg Claudia, Robinson Laura, de Flierdt Tina van, Dahl Mikael, Douarin Mélanie, Morrison Cheryl L., Correa Matthias López, Rogers Alex D., Ruckelshausen Mario, Roberts J. Murray","journalName":"Deep Sea Research Part I: Oceanographic Research Papers","publicationDate":"6/2014","auditedOn":"7/24/2015","publiclyAccessibleDate":"4/16/2014"},"contributors":{"authors":[{"text":"Henry, Lea-Anne","contributorId":190570,"corporation":false,"usgs":false,"family":"Henry","given":"Lea-Anne","email":"","affiliations":[],"preferred":false,"id":689620,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Frank, Norbert","contributorId":190571,"corporation":false,"usgs":false,"family":"Frank","given":"Norbert","email":"","affiliations":[],"preferred":false,"id":689621,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hebbeln, Dierk","contributorId":190572,"corporation":false,"usgs":false,"family":"Hebbeln","given":"Dierk","email":"","affiliations":[],"preferred":false,"id":689622,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Weinberg, Claudia","contributorId":190576,"corporation":false,"usgs":false,"family":"Weinberg","given":"Claudia","email":"","affiliations":[],"preferred":false,"id":689627,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Robinson, Laura","contributorId":152570,"corporation":false,"usgs":false,"family":"Robinson","given":"Laura","affiliations":[],"preferred":false,"id":689623,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"van de Flierdt, Tina","contributorId":190573,"corporation":false,"usgs":false,"family":"van de Flierdt","given":"Tina","email":"","affiliations":[],"preferred":false,"id":689624,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Dahl, Mikael","contributorId":190574,"corporation":false,"usgs":false,"family":"Dahl","given":"Mikael","email":"","affiliations":[],"preferred":false,"id":689625,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Douarin, Melanie","contributorId":190575,"corporation":false,"usgs":false,"family":"Douarin","given":"Melanie","email":"","affiliations":[],"preferred":false,"id":689626,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Morrison, Cheryl L. 0000-0001-9425-691X cmorrison@usgs.gov","orcid":"https://orcid.org/0000-0001-9425-691X","contributorId":146488,"corporation":false,"usgs":true,"family":"Morrison","given":"Cheryl","email":"cmorrison@usgs.gov","middleInitial":"L.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":false,"id":689619,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Correa, Matthias Lopez","contributorId":190577,"corporation":false,"usgs":false,"family":"Correa","given":"Matthias","email":"","middleInitial":"Lopez","affiliations":[],"preferred":false,"id":689628,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Rogers, Alex D.","contributorId":190578,"corporation":false,"usgs":false,"family":"Rogers","given":"Alex","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":689629,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Ruckelshausen, Mario","contributorId":190579,"corporation":false,"usgs":false,"family":"Ruckelshausen","given":"Mario","email":"","affiliations":[],"preferred":false,"id":689630,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Roberts, J. Murray","contributorId":190580,"corporation":false,"usgs":false,"family":"Roberts","given":"J. Murray","affiliations":[],"preferred":false,"id":689631,"contributorType":{"id":1,"text":"Authors"},"rank":13}]}} ,{"id":70136519,"text":"70136519 - 2014 - The UCERF3 grand inversion: Solving for the long‐term rate of ruptures in a fault system","interactions":[],"lastModifiedDate":"2016-07-11T14:13:45","indexId":"70136519","displayToPublicDate":"2014-06-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1135,"text":"Bulletin of the Seismological Society of America","onlineIssn":"1943-3573","printIssn":"0037-1106","active":true,"publicationSubtype":{"id":10}},"title":"The UCERF3 grand inversion: Solving for the long‐term rate of ruptures in a fault system","docAbstract":"

We present implementation details, testing, and results from a new inversion‐based methodology, known colloquially as the “grand inversion,” developed for the Uniform California Earthquake Rupture Forecast (UCERF3). We employ a parallel simulated annealing algorithm to solve for the long‐term rate of all ruptures that extend through the seismogenic thickness on major mapped faults in California while simultaneously satisfying available slip‐rate, paleoseismic event‐rate, and magnitude‐distribution constraints. The inversion methodology enables the relaxation of fault segmentation and allows for the incorporation of multifault ruptures, which are needed to remove magnitude‐distribution misfits that were present in the previous model, UCERF2. The grand inversion is more objective than past methodologies, as it eliminates the need to prescriptively assign rupture rates. It also provides a means to easily update the model as new data become available. In addition to UCERF3 model results, we present verification of the grand inversion, including sensitivity tests, tuning of equation set weights, convergence metrics, and a synthetic test. These tests demonstrate that while individual rupture rates are poorly resolved by the data, integrated quantities such as magnitude–frequency distributions and, most importantly, hazard metrics, are much more robust.

","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0120130180","usgsCitation":"Page, M.T., Field, E.H., Milner, K., and Powers, P.M., 2014, The UCERF3 grand inversion: Solving for the long‐term rate of ruptures in a fault system: Bulletin of the Seismological Society of America, v. 104, no. 3, p. 1181-1204, https://doi.org/10.1785/0120130180.","productDescription":"24 p.","startPage":"1181","endPage":"1204","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-054102","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":325035,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"104","issue":"3","noUsgsAuthors":false,"publicationDate":"2014-06-06","publicationStatus":"PW","scienceBaseUri":"5784c345e4b0e02680be59ec","contributors":{"authors":[{"text":"Page, Morgan T. 0000-0001-9321-2990 mpage@usgs.gov","orcid":"https://orcid.org/0000-0001-9321-2990","contributorId":3762,"corporation":false,"usgs":true,"family":"Page","given":"Morgan","email":"mpage@usgs.gov","middleInitial":"T.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true},{"id":234,"text":"Earthquake Hazards Program","active":true,"usgs":true}],"preferred":true,"id":537512,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Field, Edward H. 0000-0001-8172-7882 field@usgs.gov","orcid":"https://orcid.org/0000-0001-8172-7882","contributorId":52242,"corporation":false,"usgs":true,"family":"Field","given":"Edward","email":"field@usgs.gov","middleInitial":"H.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":537513,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Milner, Kevin","contributorId":28886,"corporation":false,"usgs":true,"family":"Milner","given":"Kevin","affiliations":[],"preferred":false,"id":537514,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Powers, Peter M. pmpowers@usgs.gov","contributorId":4434,"corporation":false,"usgs":true,"family":"Powers","given":"Peter","email":"pmpowers@usgs.gov","middleInitial":"M.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":false,"id":537515,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70150351,"text":"70150351 - 2014 - Mount Baker lahars and debris flows, ancient, modern, and future","interactions":[],"lastModifiedDate":"2015-06-24T11:12:45","indexId":"70150351","displayToPublicDate":"2014-06-01T00:00:00","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":"Mount Baker lahars and debris flows, ancient, modern, and future","docAbstract":"

The Middle Fork Nooksack River drains the southwestern slopes of the active Mount Baker stratovolcano in northwest Washington State. The river enters Bellingham Bay at a growing delta 98 km to the west. Various types of debris flows have descended the river, generated by volcano collapse or eruption (lahars), glacial outburst floods, and moraine landslides. Initial deposition of sediment during debris flows occurs on the order of minutes to a few hours. Long-lasting, down-valley transport of sediment, all the way to the delta, occurs over a period of decades, and affects fish habitat, flood risk, gravel mining, and drinking water.

\n

Holocene lahars and large debris flows (>106 m3) have left recognizable deposits in the Middle Fork Nooksack valley. A debris flow in 2013 resulting from a landslide in a Little Ice Age moraine had an estimated volume of 100,000 m3, yet affected turbidity for the entire length of the river, and produced a slug of sediment that is currently being reworked and remobilized in the river system. Deposits of smaller-volume debris flows, deposited as terraces in the upper valley, may be entirely eroded within a few years. Consequently, the geologic record of small debris flows such as those that occurred in 2013 is probably very fragmentary. Small debris flows may still have significant impacts on hydrology, biology, and human uses of rivers downstream. Impacts include the addition of waves of fine sediment to stream loads, scouring or burying salmon-spawning gravels, forcing unplanned and sudden closure of municipal water intakes, damaging or destroying trail crossings, extending river deltas into estuaries, and adding to silting of harbors near river mouths.

","language":"English","publisher":"Geological Society of America","doi":"10.1130/2014.0038(03)","usgsCitation":"Tucker, D.S., Scott, K.M., Grossman, E., and Linneman, S., 2014, Mount Baker lahars and debris flows, ancient, modern, and future: GSA Field Guides, no. 38, p. 33-52, https://doi.org/10.1130/2014.0038(03).","productDescription":"20 p.","startPage":"33","endPage":"52","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-056008","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":302278,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Washington","otherGeospatial":"Middle Fork Nooksack River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -122.354736328125,\n 48.715430944296834\n ],\n [\n -122.354736328125,\n 48.90083790234088\n ],\n [\n -121.7889404296875,\n 48.90083790234088\n ],\n [\n -121.7889404296875,\n 48.715430944296834\n ],\n [\n -122.354736328125,\n 48.715430944296834\n ]\n ]\n ]\n }\n }\n ]\n}","issue":"38","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2014-10-09","publicationStatus":"PW","scienceBaseUri":"558bd4bee4b0b6d21dd65319","contributors":{"authors":[{"text":"Tucker, David S.","contributorId":143676,"corporation":false,"usgs":false,"family":"Tucker","given":"David","email":"","middleInitial":"S.","affiliations":[{"id":15299,"text":"Geology Department, Western Washington University, Bellingham, WA 98225","active":true,"usgs":false}],"preferred":false,"id":556725,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Scott, Kevin M.","contributorId":88331,"corporation":false,"usgs":true,"family":"Scott","given":"Kevin","email":"","middleInitial":"M.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":false,"id":556726,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Grossman, Eric E. 0000-0003-0269-6307 egrossman@usgs.gov","orcid":"https://orcid.org/0000-0003-0269-6307","contributorId":2334,"corporation":false,"usgs":true,"family":"Grossman","given":"Eric E.","email":"egrossman@usgs.gov","affiliations":[],"preferred":false,"id":556724,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Linneman, Scott","contributorId":143677,"corporation":false,"usgs":false,"family":"Linneman","given":"Scott","email":"","affiliations":[{"id":15300,"text":"Geology Department, Western Washington University, Bellingham, WA 98225","active":true,"usgs":false}],"preferred":false,"id":556727,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70155205,"text":"70155205 - 2014 - Water quality of potential reference lakes in the Arkansas Valley and Ouachita Mountain ecoregions, Arkansas","interactions":[],"lastModifiedDate":"2015-08-05T10:00:15","indexId":"70155205","displayToPublicDate":"2014-06-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1552,"text":"Environmental Monitoring and Assessment","onlineIssn":"1573-2959","printIssn":"0167-6369","active":true,"publicationSubtype":{"id":10}},"title":"Water quality of potential reference lakes in the Arkansas Valley and Ouachita Mountain ecoregions, Arkansas","docAbstract":"

This report describes a study to identify reference lakes in two lake classifications common to parts of two level III ecoregions in western Arkansas—the Arkansas Valley and Ouachita Mountains. Fifty-two lakes were considered. A screening process that relied on land-use data was followed by reconnaissance water-quality sampling, and two lakes from each ecoregion were selected for intensive water-quality sampling. Our data suggest that Spring Lake is a suitable reference lake for the Arkansas Valley and that Hot Springs Lake is a suitable reference lake for the Ouachita Mountains. Concentrations for five nutrient constituents—orthophosphorus, total phosphorus, total kjeldahl nitrogen, total nitrogen, and total organic carbon—were lower at Spring Lake on all nine sampling occasions and transparency measurements at Spring Lake were significantly deeper than measurements at Cove Lake. For the Ouachita Mountains ecoregion, water quality at Hot Springs Lake slightly exceeded that of Lake Winona. The most apparent water-quality differences for the two lakes were related to transparency and total organic carbon concentrations, which were deeper and lower at Hot Springs Lake, respectively. Our results indicate that when nutrient concentrations are low, transparency may be more valuable for differentiating between lake water quality than chemical constituents that have been useful for distinguishing between water-quality conditions in mesotrophic and eutrophic settings. For example, in this oligotrophic setting, concentrations for chlorophyll a can be less than 5 μg/L and diurnal variability that is typically associated with dissolved oxygen in more productive settings was not evident.

","language":"English","publisher":"Springer","doi":"10.1007/s10661-014-3657-1","usgsCitation":"Justus, B., and Meredith, B.J., 2014, Water quality of potential reference lakes in the Arkansas Valley and Ouachita Mountain ecoregions, Arkansas: Environmental Monitoring and Assessment, v. 186, no. 6, p. 3785-3800, https://doi.org/10.1007/s10661-014-3657-1.","productDescription":"16 p.","startPage":"3785","endPage":"3800","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-053314","costCenters":[{"id":129,"text":"Arkansas Water Science Center","active":true,"usgs":true}],"links":[{"id":306422,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arkansas","otherGeospatial":"Arkansas Valley; Ouachita Mountain","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -94.47143554687499,\n 34.052659421375964\n ],\n [\n -93.85620117187499,\n 34.07086232376631\n ],\n [\n -93.109130859375,\n 34.08906131584996\n ],\n [\n -92.52685546875,\n 34.45221847282654\n ],\n [\n -91.92260742187499,\n 35.074964853989556\n ],\n [\n -91.40625,\n 35.7019167328534\n ],\n [\n -94.493408203125,\n 35.755428369259626\n ],\n [\n -94.4384765625,\n 35.27253175660236\n ],\n [\n -94.47143554687499,\n 34.052659421375964\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"186","issue":"6","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"noUsgsAuthors":false,"publicationDate":"2014-02-15","publicationStatus":"PW","scienceBaseUri":"55c333b1e4b033ef52106aaa","contributors":{"authors":[{"text":"Justus, B. G. 0000-0002-3458-9656 bjustus@usgs.gov","orcid":"https://orcid.org/0000-0002-3458-9656","contributorId":2052,"corporation":false,"usgs":true,"family":"Justus","given":"B. G.","email":"bjustus@usgs.gov","affiliations":[{"id":129,"text":"Arkansas Water Science Center","active":true,"usgs":true}],"preferred":false,"id":565068,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Meredith, Bradley J. bmeredith@usgs.gov","contributorId":5515,"corporation":false,"usgs":true,"family":"Meredith","given":"Bradley","email":"bmeredith@usgs.gov","middleInitial":"J.","affiliations":[{"id":129,"text":"Arkansas Water Science Center","active":true,"usgs":true}],"preferred":true,"id":565069,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70143269,"text":"70143269 - 2014 - Small mammals from the Chelemhá Cloud Forest Reserve, Alta Verapaz, Guatemala","interactions":[],"lastModifiedDate":"2015-03-18T12:09:53","indexId":"70143269","displayToPublicDate":"2014-06-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3451,"text":"Southwestern Naturalist","active":true,"publicationSubtype":{"id":10}},"title":"Small mammals from the Chelemhá Cloud Forest Reserve, Alta Verapaz, Guatemala","docAbstract":"

We surveyed the small mammals of remnant mixed hardwood-coniferous cloud forest at elevations ranging from 2,100–2,300 m in the Chelemhá Cloud Forest Reserve, Alta Verapaz, Guatemala. Removal-trapping using a combination of live traps, snap traps, and pitfall traps for 6 days in January 2007 resulted in 175 captures of 15 species of marsupials, shrews, and rodents. This diversity of small mammals is the highest that we have recorded from a single locality of the 10 visited during eight field seasons in the highlands of Guatemala. Based on captures, the most abundant species in the community of small mammals is Peromyscus grandis (n = 50), followed by Handleyomys rhabdops (n = 27), Heteromys desmarestianus(n = 18), Reithrodontomys mexicanus (n = 17), Handleyomys saturatior (n = 16), Sorex veraepacis (n = 15), and Scotinomys teguina (n = 13). The remaining eight species were represented by one to five individuals.

","language":"English","publisher":"Southwestern Association of Naturalists","publisherLocation":"Dallas, TX","doi":"10.1894/F14-TAL-60.1","usgsCitation":"Matson, J.O., Ordonez-Garza, N., Woodman, N., Bulmer, W., Eckerlin, R., and Hanson, J.D., 2014, Small mammals from the Chelemhá Cloud Forest Reserve, Alta Verapaz, Guatemala: Southwestern Naturalist, v. 59, no. 2, p. 258-262, https://doi.org/10.1894/F14-TAL-60.1.","startPage":"258","endPage":"262","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-049848","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":298719,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Guatemala","state":"Alta Verapaz","otherGeospatial":"Chelemhá Cloud Forest Reserve","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -90.07759094238281,\n 15.378136199728472\n ],\n [\n -90.07759094238281,\n 15.392204527403543\n ],\n [\n -90.05699157714844,\n 15.392204527403543\n ],\n [\n -90.05699157714844,\n 15.378136199728472\n ],\n [\n -90.07759094238281,\n 15.378136199728472\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"59","issue":"2","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"550aa1bfe4b02e76d7590c04","contributors":{"authors":[{"text":"Matson, Jason O.","contributorId":139698,"corporation":false,"usgs":false,"family":"Matson","given":"Jason","email":"","middleInitial":"O.","affiliations":[{"id":12882,"text":"Department of Biological Sciences, San Jose State University, San Jose, CA 95192-0100","active":true,"usgs":false}],"preferred":false,"id":542544,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ordonez-Garza, Nicte","contributorId":139699,"corporation":false,"usgs":false,"family":"Ordonez-Garza","given":"Nicte","email":"","affiliations":[{"id":12883,"text":"Department of Biological Sciences, Texas Tech University, Lubbock, TX 79409-3131","active":true,"usgs":false}],"preferred":false,"id":542545,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Woodman, Neal 0000-0003-2689-7373 nwoodman@usgs.gov","orcid":"https://orcid.org/0000-0003-2689-7373","contributorId":3547,"corporation":false,"usgs":true,"family":"Woodman","given":"Neal","email":"nwoodman@usgs.gov","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":542543,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bulmer, Walter","contributorId":26923,"corporation":false,"usgs":false,"family":"Bulmer","given":"Walter","email":"","affiliations":[],"preferred":false,"id":542546,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Eckerlin, Ralph P.","contributorId":17087,"corporation":false,"usgs":true,"family":"Eckerlin","given":"Ralph P.","affiliations":[],"preferred":false,"id":542547,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hanson, J. Delton","contributorId":139700,"corporation":false,"usgs":false,"family":"Hanson","given":"J.","email":"","middleInitial":"Delton","affiliations":[{"id":12884,"text":"Research and Testing Laboratory, Lubbock, TX 79416","active":true,"usgs":false}],"preferred":false,"id":542548,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70145801,"text":"70145801 - 2014 - Food consumption and growth rates of juvenile black carp fed natural and prepared feeds","interactions":[],"lastModifiedDate":"2015-04-10T15:19:36","indexId":"70145801","displayToPublicDate":"2014-06-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2287,"text":"Journal of Fish and Wildlife Management","active":true,"publicationSubtype":{"id":10}},"title":"Food consumption and growth rates of juvenile black carp fed natural and prepared feeds","docAbstract":"

The introduced mollusciphagic black carp Mylopharyngodon piceus poses a significant threat to native mollusks in temperate waters throughout the northern hemisphere, but consumption rates necessary to estimate the magnitude of impact on mollusks have not been established. We measured food consumption and growth rates for small (77–245 g) and large (466–1,071 g) triploid black carp held individually under laboratory conditions at 20, 25, and 30°C. Daily consumption rates (g food · g wet weight fish−1·d−1·100) of black carp that received prepared feed increased with temperature (small black carp 1.39–1.71; large black carp 1.28–2.10), but temperature-related increases in specific growth rate (100[ln(final weight) - ln(initial weight)]/number of days) only occurred for the large black carp (small black carp −0.02 to 0.19; large black carp 0.16–0.65). Neither daily consumption rates (5.90–6.28) nor specific growth rates (0.05–0.24) differed among temperatures for small black carp fed live snails. The results of these laboratory feeding trials indicate food consumption rates can vary from 289.9 to 349.5 J·g−1·d−1 for 150 g black carp receiving prepared feed, from 268.8 to 441.0 J·g−1·d−1for 800 g black carp receiving prepared feed, and from 84.8 to 90.2 J·g−1·d−1 for 150 g black carp that feed on snails. Applying estimated daily consumption rates to estimated biomass of native mollusks indicates that a relatively low biomass of bla

","language":"English","publisher":"U.S. Fish and Wildlife Service","doi":"10.3996/112012-JFWM-101","usgsCitation":"Hodgins, N.C., Schramm, H., and Gerard, P., 2014, Food consumption and growth rates of juvenile black carp fed natural and prepared feeds: Journal of Fish and Wildlife Management, v. 5, no. 1, p. 35-45, https://doi.org/10.3996/112012-JFWM-101.","productDescription":"11 p.","startPage":"35","endPage":"45","numberOfPages":"11","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-022588","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":473154,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3996/112012-jfwm-101","text":"Publisher Index Page"},{"id":299590,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"5","issue":"1","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationDate":"2014-01-01","publicationStatus":"PW","scienceBaseUri":"5528f42fe4b026915857cb15","contributors":{"authors":[{"text":"Hodgins, Nathaniel C.","contributorId":140180,"corporation":false,"usgs":false,"family":"Hodgins","given":"Nathaniel","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":544615,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Schramm, Harold L. Jr. hschramm@usgs.gov","contributorId":530,"corporation":false,"usgs":true,"family":"Schramm","given":"Harold L.","suffix":"Jr.","email":"hschramm@usgs.gov","affiliations":[],"preferred":false,"id":544387,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gerard, Patrick D.","contributorId":140181,"corporation":false,"usgs":false,"family":"Gerard","given":"Patrick D.","affiliations":[{"id":7084,"text":"Clemson University","active":true,"usgs":false}],"preferred":false,"id":544616,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70108191,"text":"ds853 - 2014 - Land-margin ecosystem hydrologic data for the coastal Everglades, Florida, water years 1996-2012","interactions":[],"lastModifiedDate":"2014-05-30T15:53:00","indexId":"ds853","displayToPublicDate":"2014-05-30T15:46:00","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":310,"text":"Data Series","code":"DS","onlineIssn":"2327-638X","printIssn":"2327-0271","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"853","title":"Land-margin ecosystem hydrologic data for the coastal Everglades, Florida, water years 1996-2012","docAbstract":"

Mangrove forests and salt marshes dominate the landscape of the coastal Everglades (Odum and McIvor, 1990). However, the ecological effects from potential sea-level rise and increased water flows from planned freshwater Everglades restoration on these coastal systems are poorly understood. The National Park Service (NPS) proposed the South Florida Global Climate Change Project (SOFL-GCC) in 1990 to evaluate climate change and the effect from rising sea levels on the coastal Everglades, particularly at the marsh/mangrove interface or ecotone (Soukup and others, 1990). A primary objective of SOFL-GCC project was to monitor and synthesize the hydrodynamics of the coastal Everglades from the upstream freshwater marsh to the downstream estuary mangrove. Two related hypotheses were set forward (Nuttle and Cosby, 1993):

\n
\n

1. There exists hydrologic conditions (tide, local rainfall, and upstream water deliveries), which characterize the location of the marsh/mangrove ecotone along the marine and terrestrial hydrologic gradient; and
\n2. The marsh/mangrove ecotone is sensitive to fluctuations in sea level and freshwater inflow from inland areas.

\n
\n

Hydrologic monitoring of the SOFL-GCC network began in 1995 after startup delays from Hurricane Andrew (August 1992) and organizational transfers from the NPS to the National Biological Survey (October 1993) and the merger with the U.S. Geological Survey (USGS) Biological Research Division in 1996 (Smith, 2004). As the SOFL-GCC project progressed, concern by environmental scientists and land managers over how the diversion of water from Everglades National Park would affect the restoration of the greater Everglades ecosystem. Everglades restoration scenarios were based on hydrodynamic models, none of which included the coastal zone (Fennema and others, 1994). Modeling efforts were expanded to include the Everglades coastal zone (Schaffranek and others, 2001) with SOFL-GCC hydrologic data assisting the ecological modeling needs. In 2002, as a response for a more interdisciplinary science approach to understanding the coastal Everglades ecological system, the SOFL-GCC hydrology project was integrated into the “Dynamics of Land-Margin Ecosystems: Historical Change, Hydrology, Vegetation, Sediment, and Climate” study (Smith and others, 2002). Data from the ongoing study has been useful in providing an empirical hydrologic baseline for the greater Everglades ecosystem restoration science and management needs.

\n
\n

The hydrology network consisted of 13 hydrologic gaging stations installed in the southwestern coastal region of Everglades National Park along three transects: Shark River (Shark or SH) transect, Lostmans River (Lostmans or LO) transect, and Chatham River (Chatham or CH) transect (fig. 1). There were five paired surface-water/groundwater gaging stations on the Shark transect (SH1, SH2, SH3, SH4, and SH5) and one stage gaging station (BSC) in the Big Sable Creek; four paired surface-water/groundwater gaging stations on the Lostmans transect (LO1, LO2, LO3, and LO4); and three paired surface-water/groundwater gaging stations on the Chatham transect (CH1, CH2, and CH3). Both surface-water and groundwater levels, salinities, and temperatures were monitored at the paired gaging stations. Rainfall was recorded at marsh and open canopy gaging stations. This report details the study introduction, method, and description of data collected, which are accessible through the final instantaneous hydrologic dataset stored in the USGS South Florida Information Access (SOFIA) South Florida Hydrology Database website, http://sofia.usgs.gov/exchange/sfl_hydro_data/location.html#brdlandmargin.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds853","collaboration":"Prepared as part of the U.S. Geological Survey Greater Everglades Priority Ecosystem Science Program. Prepared in cooperation with the U.S. Army Corps of Engineers and Everglades National Park","usgsCitation":"Anderson, G.H., Smith, T.J., and Balentine, K., 2014, Land-margin ecosystem hydrologic data for the coastal Everglades, Florida, water years 1996-2012: U.S. Geological Survey Data Series 853, vi, 38 p., https://doi.org/10.3133/ds853.","productDescription":"vi, 38 p.","numberOfPages":"48","onlineOnly":"Y","ipdsId":"IP-046122","costCenters":[{"id":285,"text":"Florida Water Science Center","active":false,"usgs":true}],"links":[{"id":287902,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ds853.PNG"},{"id":287899,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/853/"},{"id":287901,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/ds/853/pdf/ds853.pdf"}],"country":"United States","state":"Florida","otherGeospatial":"Everglades National Park","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -81.4938,24.9885 ], [ -81.4938,25.8005 ], [ -80.7636,25.8005 ], [ -80.7636,24.9885 ], [ -81.4938,24.9885 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53ae7758e4b0abf75cf2c108","contributors":{"authors":[{"text":"Anderson, Gordon H. 0000-0003-1675-8329 gordon_anderson@usgs.gov","orcid":"https://orcid.org/0000-0003-1675-8329","contributorId":2771,"corporation":false,"usgs":true,"family":"Anderson","given":"Gordon","email":"gordon_anderson@usgs.gov","middleInitial":"H.","affiliations":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":493993,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Smith, Thomas J. III tom_j_smith@usgs.gov","contributorId":1615,"corporation":false,"usgs":true,"family":"Smith","given":"Thomas","suffix":"III","email":"tom_j_smith@usgs.gov","middleInitial":"J.","affiliations":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"preferred":false,"id":493992,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Balentine, Karen M.","contributorId":79806,"corporation":false,"usgs":true,"family":"Balentine","given":"Karen M.","affiliations":[],"preferred":false,"id":493994,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70094787,"text":"sir20145034 - 2014 - 2010 Volcanic activity in Alaska, Kamchatka, and the Kurile Islands: Summary of events and response of the Alaska Volcano Observatory","interactions":[],"lastModifiedDate":"2019-03-13T15:37:17","indexId":"sir20145034","displayToPublicDate":"2014-05-30T14:55:00","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2014-5034","title":"2010 Volcanic activity in Alaska, Kamchatka, and the Kurile Islands: Summary of events and response of the Alaska Volcano Observatory","docAbstract":"The Alaska Volcano Observatory (AVO) responded to eruptions, possible eruptions, volcanic unrest or suspected unrest at 12 volcanic centers in Alaska during 2010. The most notable volcanic activity consisted of intermittent ash emissions from long-active Cleveland volcano in the Aleutian Islands. AVO staff also participated in hazard communication regarding eruptions or unrest at seven volcanoes in Russia as part of an ongoing collaborative role in the Kamchatka and Sakhalin Volcanic Eruption Response Teams.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20145034","collaboration":"The Alaska Volcano Observatory is a cooperative program of the U.S. Geological Survey, University of Alaska Fairbanks Geophysical Institute, and the Alaska Division of Geological and Geophysical Surveys. The Alaska Volcano Observatory is funded by the U.S. Geological Survey Volcano Hazards Program and the State of Alaska.","usgsCitation":"Neal, C., Herrick, J., Girina, O., Chibisova, M., Rybin, A., McGimsey, R.G., and Dixon, J., 2014, 2010 Volcanic activity in Alaska, Kamchatka, and the Kurile Islands: Summary of events and response of the Alaska Volcano Observatory: U.S. Geological Survey Scientific Investigations Report 2014-5034, vii, 76 p., https://doi.org/10.3133/sir20145034.","productDescription":"vii, 76 p.","numberOfPages":"88","onlineOnly":"Y","ipdsId":"IP-051129","costCenters":[{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":287895,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20145034.jpg"},{"id":287893,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2014/5034/"},{"id":287894,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2014/5034/pdf/sir2014-5034.pdf"}],"country":"Russia;United States","state":"Alaska","otherGeospatial":"Aleutian Islands, Kamchatka Peninsula, Kurile Islands","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"539a2a13e4b0a59b26496f9c","contributors":{"authors":[{"text":"Neal, Christina A. 0000-0002-7697-7825","orcid":"https://orcid.org/0000-0002-7697-7825","contributorId":82660,"corporation":false,"usgs":true,"family":"Neal","given":"Christina A.","affiliations":[],"preferred":false,"id":490916,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Herrick, Julie","contributorId":77853,"corporation":false,"usgs":true,"family":"Herrick","given":"Julie","affiliations":[],"preferred":false,"id":490915,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Girina, O.A.","contributorId":93393,"corporation":false,"usgs":true,"family":"Girina","given":"O.A.","affiliations":[],"preferred":false,"id":490917,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Chibisova, Marina","contributorId":35016,"corporation":false,"usgs":true,"family":"Chibisova","given":"Marina","affiliations":[],"preferred":false,"id":490913,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Rybin, Alexander","contributorId":65187,"corporation":false,"usgs":true,"family":"Rybin","given":"Alexander","affiliations":[],"preferred":false,"id":490914,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"McGimsey, Robert G. 0000-0001-5379-7779 mcgimsey@usgs.gov","orcid":"https://orcid.org/0000-0001-5379-7779","contributorId":2352,"corporation":false,"usgs":true,"family":"McGimsey","given":"Robert","email":"mcgimsey@usgs.gov","middleInitial":"G.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":490912,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Dixon, Jim","contributorId":104997,"corporation":false,"usgs":true,"family":"Dixon","given":"Jim","email":"","affiliations":[],"preferred":false,"id":490918,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70103045,"text":"ds845 - 2014 - A pier-scour database: 2,427 field and laboratory measurements of pier scour","interactions":[],"lastModifiedDate":"2019-12-23T09:33:17","indexId":"ds845","displayToPublicDate":"2014-05-30T13:02:00","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":310,"text":"Data Series","code":"DS","onlineIssn":"2327-638X","printIssn":"2327-0271","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"845","title":"A pier-scour database: 2,427 field and laboratory measurements of pier scour","docAbstract":"The U.S. Geological Survey conducted a literature review to identify potential sources of published pier-scour data, and selected data were compiled into a digital spreadsheet called the 2014 USGS Pier-Scour Database (PSDb-2014) consisting of 569 laboratory and 1,858 field measurements. These data encompass a wide range of laboratory and field conditions and represent field data from 23 States within the United States and from 6 other countries. The digital spreadsheet is available on the Internet and offers a valuable resource to engineers and researchers seeking to understand pier-scour relations in the laboratory and field.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds845","collaboration":"Prepared in cooperation with the South Carolina Department of Transportation","usgsCitation":"Benedict, S., and Caldwell, A.W., 2014, A pier-scour database: 2,427 field and laboratory measurements of pier scour: U.S. Geological Survey Data Series 845, Report: vi, 22 p.; Table, https://doi.org/10.3133/ds845.","productDescription":"Report: vi, 22 p.; Table","numberOfPages":"32","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-050919","costCenters":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"links":[{"id":287882,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ds845.jpg"},{"id":287880,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/ds/0845/pdf/ds845.pdf"},{"id":287879,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/0845/"},{"id":287881,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/ds/0845/table/ds845_psdb-2014_version1.0.xlsx"}],"country":"Canada, China, Russia, United States","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53ae7617e4b0abf75cf2be83","contributors":{"authors":[{"text":"Benedict, Stephen T. benedict@usgs.gov","contributorId":3198,"corporation":false,"usgs":true,"family":"Benedict","given":"Stephen T.","email":"benedict@usgs.gov","affiliations":[{"id":559,"text":"South Carolina Water Science Center","active":true,"usgs":true}],"preferred":false,"id":493135,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Caldwell, Andral W. 0000-0003-1269-5463 acaldwel@usgs.gov","orcid":"https://orcid.org/0000-0003-1269-5463","contributorId":3228,"corporation":false,"usgs":true,"family":"Caldwell","given":"Andral","email":"acaldwel@usgs.gov","middleInitial":"W.","affiliations":[{"id":559,"text":"South Carolina Water Science Center","active":true,"usgs":true}],"preferred":true,"id":493136,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70170508,"text":"70170508 - 2014 - Three-dimensional seismic velocity structure of Mauna Loa and Kilauea volcanoes in Hawaii from local seismic tomography","interactions":[],"lastModifiedDate":"2019-03-13T15:38:49","indexId":"70170508","displayToPublicDate":"2014-05-30T10:30:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2314,"text":"Journal of Geophysical Research B: Solid Earth","active":true,"publicationSubtype":{"id":10}},"title":"Three-dimensional seismic velocity structure of Mauna Loa and Kilauea volcanoes in Hawaii from local seismic tomography","docAbstract":"

We present a new three-dimensional seismic velocity model of the crustal and upper mantle structure for Mauna Loa and Kilauea volcanoes in Hawaii. Our model is derived from the first-arrival times of the compressional and shear waves from about 53,000 events on and near the Island of Hawaii between 1992 and 2009 recorded by the Hawaiian Volcano Observatory stations. The Vp model generally agrees with previous studies, showing high-velocity anomalies near the calderas and rift zones and low-velocity anomalies in the fault systems. The most significant difference from previous models is in Vp/Vs structure. The high-Vp and high-Vp/Vs anomalies below Mauna Loa caldera are interpreted as mafic magmatic cumulates. The observed low-Vp and high-Vp/Vs bodies in the Kaoiki seismic zone between 5 and 15 km depth are attributed to the underlying volcaniclastic sediments. The high-Vp and moderate- to low-Vp/Vs anomalies beneath Kilauea caldera can be explained by a combination of different mafic compositions, likely to be olivine-rich gabbro and dunite. The systematically low-Vp and low-Vp/Vs bodies in the southeast flank of Kilauea may be caused by the presence of volatiles. Another difference between this study and previous ones is the improved Vp model resolution in deeper layers, owing to the inclusion of events with large epicentral distances. The new velocity model is used to relocate the seismicity of Mauna Loa and Kilauea for improved absolute locations and ultimately to develop a high-precision earthquake catalog using waveform cross-correlation data.

","language":"English","publisher":"American Geophysical Union","doi":"10.1002/2013JB010820","usgsCitation":"Lin, G., Shearer, P., Matoza, R.S., Okubo, P.G., and Amelung, F., 2014, Three-dimensional seismic velocity structure of Mauna Loa and Kilauea volcanoes in Hawaii from local seismic tomography: Journal of Geophysical Research B: Solid Earth, v. 119, no. 5, p. 4377-4392, https://doi.org/10.1002/2013JB010820.","productDescription":"16 p.","startPage":"4377","endPage":"4392","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-055205","costCenters":[{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":472977,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://escholarship.org/uc/item/02000169","text":"Publisher Index Page"},{"id":320500,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Hawaii","county":"Hawaii","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"Polygon\",\"coordinates\":[[[-155.8799,20.2589],[-155.8389,20.2672],[-155.7974,20.2483],[-155.7717,20.2467],[-155.7307,20.217],[-155.7276,20.2014],[-155.6597,20.1689],[-155.5966,20.1224],[-155.5519,20.1275],[-155.4406,20.0928],[-155.2746,20.0165],[-155.2142,19.9761],[-155.1417,19.9175],[-155.0839,19.8533],[-155.0923,19.8101],[-155.0842,19.7247],[-155.0378,19.74],[-155.0008,19.735],[-154.9786,19.69],[-154.98,19.6376],[-154.9483,19.6236],[-154.9444,19.6025],[-154.9053,19.5706],[-154.8211,19.5322],[-154.8058,19.5161],[-154.8183,19.4997],[-154.8194,19.4794],[-154.8362,19.46],[-154.8895,19.4144],[-154.9283,19.3947],[-154.9725,19.3489],[-155.0705,19.3112],[-155.1543,19.2657],[-155.2084,19.2564],[-155.2631,19.2709],[-155.2968,19.2616],[-155.3566,19.2069],[-155.4154,19.1838],[-155.4543,19.1464],[-155.5053,19.1312],[-155.5528,19.0803],[-155.5531,19.0467],[-155.5772,19.0208],[-155.6017,18.9683],[-155.6183,18.9692],[-155.6386,18.935],[-155.6771,18.9105],[-155.6886,18.9394],[-155.7159,18.9606],[-155.7587,18.9769],[-155.7975,19.0094],[-155.8508,19.0189],[-155.8817,19.0358],[-155.8844,19.0525],[-155.9067,19.0786],[-155.9186,19.1344],[-155.8994,19.2111],[-155.8864,19.3433],[-155.9106,19.3961],[-155.9061,19.4131],[-155.9292,19.4589],[-155.9194,19.4728],[-155.9503,19.4858],[-155.9774,19.6064],[-155.9944,19.6375],[-156.0308,19.6515],[-156.0269,19.6731],[-156.0601,19.7255],[-156.0503,19.7744],[-156.0394,19.7878],[-155.9739,19.8481],[-155.9242,19.8558],[-155.9017,19.9056],[-155.8872,19.9144],[-155.8895,19.93],[-155.8544,19.9669],[-155.8356,19.9739],[-155.828,19.9894],[-155.8231,20.0228],[-155.8839,20.1058],[-155.9004,20.1635],[-155.8994,20.2281],[-155.8799,20.2589]]]},\"properties\":{\"name\":\"Hawaii\",\"state\":\"HI\"}}]}","volume":"119","issue":"5","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2014-05-30","publicationStatus":"PW","scienceBaseUri":"571f3fe5e4b071321fe56a87","contributors":{"authors":[{"text":"Lin, Guoqing","contributorId":168856,"corporation":false,"usgs":false,"family":"Lin","given":"Guoqing","affiliations":[{"id":5112,"text":"University of Miami","active":true,"usgs":false}],"preferred":false,"id":627496,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Shearer, Peter M.","contributorId":78946,"corporation":false,"usgs":true,"family":"Shearer","given":"Peter M.","affiliations":[],"preferred":false,"id":627497,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Matoza, Robin S.","contributorId":54873,"corporation":false,"usgs":true,"family":"Matoza","given":"Robin","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":627498,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Okubo, Paul G. 0000-0002-0381-6051 pokubo@usgs.gov","orcid":"https://orcid.org/0000-0002-0381-6051","contributorId":2730,"corporation":false,"usgs":true,"family":"Okubo","given":"Paul","email":"pokubo@usgs.gov","middleInitial":"G.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":false,"id":627495,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Amelung, Falk","contributorId":124563,"corporation":false,"usgs":false,"family":"Amelung","given":"Falk","email":"","affiliations":[{"id":5112,"text":"University of Miami","active":true,"usgs":false}],"preferred":false,"id":627499,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70101668,"text":"sir20145071 - 2014 - An analysis of potential water availability from the Charles Mill, Clendening, Piedmont, Pleasant Hill, Senecaville, and Wills Creek Lakes in the Muskingum River Watershed, Ohio","interactions":[],"lastModifiedDate":"2014-05-30T10:20:29","indexId":"sir20145071","displayToPublicDate":"2014-05-30T10:10:00","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2014-5071","title":"An analysis of potential water availability from the Charles Mill, Clendening, Piedmont, Pleasant Hill, Senecaville, and Wills Creek Lakes in the Muskingum River Watershed, Ohio","docAbstract":"

This report presents the results of a study to assess potential water availability from the Charles Mill, Clendening, Piedmont, Pleasant Hill, Senecaville, and Wills Creek Lakes, located within the Muskingum River Watershed, Ohio. The assessment was based on the criterion that water withdrawals should not appreciably affect maintenance of recreation-season pool levels in current use. To facilitate and simplify the assessment, it was assumed that historical lake operations were successful in maintaining seasonal pool levels, and that any discharges from lakes constituted either water that was discharged to prevent exceeding seasonal pool levels or discharges intended to meet minimum in-stream flow targets downstream from the lakes. It further was assumed that the volume of water discharged in excess of the minimum in-stream flow target is available for use without negatively impacting seasonal pool levels or downstream water uses and that all or part of it is subject to withdrawal.

\n
\n

Historical daily outflow data for the lakes were used to determine the quantity of water that potentially could be withdrawn and the resulting quantity of water that would flow downstream (referred to as “flow-by”) on a daily basis as a function of all combinations of three hypothetical target minimum flow-by amounts (1, 2, and 3 times current minimum in-stream flow targets) and three pumping capacities (1, 2, and 3 million gallons per day). Using both U.S. Geological Survey streamgage data (where available) and lake-outflow data provided by the U.S. Army Corps of Engineers resulted in analytical periods ranging from 51 calendar years for Charles Mill, Clendening, and Piedmont Lakes to 74 calendar years for Pleasant Hill, Senecaville, and Wills Creek Lakes.

\n
\n

The observed outflow time series and the computed time series of daily flow-by amounts and potential withdrawals were analyzed to compute and report order statistics (95th, 75th, 50th, 25th, 10th, and 5th percentiles) and means for the analytical period, in aggregate, and broken down by calendar month. In addition, surplus-water mass curve data were tabulated for each of the lakes.

\n
\n

Monthly order statistics of computed withdrawals indicated that, for the three pumping capacities considered, increasing the target minimum flow-by amount tended to reduce the amount of water that can be withdrawn. The reduction was greatest in the lower percentiles of withdrawal; however, increasing the flow-by amount had no impact on potential withdrawals during high flow. In addition, for a given target minimum flow-by amount, increasing the pumping rate typically increased the total amount of water that could be withdrawn; however, that increase was less than a direct multiple of the increase in pumping rate for most flow statistics. Potential monthly withdrawals were observed to be more variable and more limited in some calendar months than others.

\n
\n

Monthly order statistics and means of computed daily mean flow-by amounts indicated that flow-by amounts generally tended to be lowest during June–October. Increasing the target minimum flow-by amount for a given pumping rate resulted in some small increases in the magnitudes of the mean and 50th percentile and lower order statistics of computed mean flow-by, but had no effect on the magnitudes of the higher percentile statistics. Increasing the pumping rate for a given target minimum flow-by amount resulted in decreases in magnitudes of higher-percentile flow-by statistics by an amount equal to the flow equivalent of the increase in pumping rate; however, some lower percentile statistics remained unchanged.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20145071","collaboration":"Prepared in cooperation with the Muskingum Watershed Conservancy District","usgsCitation":"Koltun, G., 2014, An analysis of potential water availability from the Charles Mill, Clendening, Piedmont, Pleasant Hill, Senecaville, and Wills Creek Lakes in the Muskingum River Watershed, Ohio: U.S. Geological Survey Scientific Investigations Report 2014-5071, Report: v, 61 p.; Appendix 1, Table 1-2, https://doi.org/10.3133/sir20145071.","productDescription":"Report: v, 61 p.; Appendix 1, Table 1-2","numberOfPages":"72","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-054063","costCenters":[{"id":513,"text":"Ohio Water Science Center","active":true,"usgs":true}],"links":[{"id":287855,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20145071.jpg"},{"id":287854,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2014/5071/appendix/sir2014-5071_table-1-2.xlsx"},{"id":287852,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2014/5071/"},{"id":287853,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2014/5071/pdf/sir2014-5071.pdf"}],"projection":"Universal Transverse Mercator projection, Zone 17","datum":"North American Datum of 1983","country":"United States","state":"Ohio","otherGeospatial":"Charles Mill Lake;Clendening Lake;Muskingum River Watershed;Piedmont Lake;Pleasant Hill Lake;Senecaville Lake;Wills Creek Lake","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -83.0,39.0 ], [ -83.0,41.4 ], [ -80.5,41.4 ], [ -80.5,39.0 ], [ -83.0,39.0 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53ae7626e4b0abf75cf2bea8","contributors":{"authors":[{"text":"Koltun, G. F. 0000-0003-0255-2960","orcid":"https://orcid.org/0000-0003-0255-2960","contributorId":49817,"corporation":false,"usgs":true,"family":"Koltun","given":"G. F.","affiliations":[],"preferred":false,"id":492729,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70123758,"text":"70123758 - 2014 - Connecting the dots: a collaborative USGS-NPS effort to expand the utility of monitoring data","interactions":[],"lastModifiedDate":"2014-09-09T09:15:51","indexId":"70123758","displayToPublicDate":"2014-05-30T09:06:53","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3561,"text":"The George Wright Forum","active":true,"publicationSubtype":{"id":10}},"title":"Connecting the dots: a collaborative USGS-NPS effort to expand the utility of monitoring data","docAbstract":"

The Natural Resource Challenge (National Park Service 1999) was a call to action. It \nconstituted a mandate for monitoring based on the twin premises that (1) natural resources \nin national parks require active management and stewardship if we are to protect them from \ngradual degradation, and (2) we cannot protect what we do not understand. The intent of the \nchallenge was embodied in its original description:

\n
\n

We must expand existing inventory programs and develop efficient ways to monitor the vital signs of natural systems. We must enlist others in the scientific community to help, and also facilitate their inquiry. Managers must have and apply this information to preserve our natural resources.

\n
\n

In this article, we report on ongoing collaborative work between the National Park Service (NPS) and the US Geological Survey (USGS) that seeks to add to our scientific understanding of the ecological processes operating behind vital signs monitoring data. The ultimate goal of this work is to provide insights that can facilitate an understanding of the systems and identify potential opportunities for active stewardship by NPS managers (Bennetts et al. 2007; Mitchell et al. 2014). The bulk of the work thus far has involved Acadia and Rocky Mountain national parks, but there are plans for extending the work to additional parks.

\n
\n

Our story stats with work designed to consider ways of assessing the status and condition of natural resources and the potential for historical or ongoing influences of human activities. In the 1990s, the concept of \"biotic integrity\" began to take hold as an aspiration for developing quantitative indices describing how closely the conditions at a site resemble those found at pristine, unimpacted sites. Quantitative methods for developing indices of biotic integrity (IBIs) and elaborations of that idea (e.g., ecological integrity) have received considerable attention and application of these methods to natural resources has become widespread (Karr 1991; Barbour et al. 1999; Stoddard et al. 2008). Despite widespread use, many questions remain about how metrics are combined to form effective indices and about how to interpret both.

\n
\n

Scientists and natural resource specialists within NPS and USGS have joined forces to critique the current analysis methods, with the collaboration involving the Rocky Mountain and Northeast Temperate NPS Inventory and Monitoring (I & M) networks, along with others, and USGS scientists from the National Wetlands Research Center and Patuxent Wildlife Research Center. Funding that initiated the project was from a joint-partnership fund managed by the USGS Ecosystems Program for National Park Monitoring research and the work was focused at Acadia National Park and Rocky Mountain National Park. Here we present synopses of two major issues addressed by the group.

","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"The George Wright Forum","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"The George Wright Society","publisherLocation":"Hancock, MI","usgsCitation":"Grace, J.B., Schoolmaster, D.R., Schweiger, E.W., Mitchell, B.R., Miller, K., and Guntenspergen, G.R., 2014, Connecting the dots: a collaborative USGS-NPS effort to expand the utility of monitoring data: The George Wright Forum, v. 31, no. 2, p. 181-190.","productDescription":"10 p.","startPage":"181","endPage":"190","numberOfPages":"10","ipdsId":"IP-056172","costCenters":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"links":[{"id":293487,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":293470,"type":{"id":15,"text":"Index Page"},"url":"https://www.georgewright.org/312grace.pdf"}],"volume":"31","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5410144ee4b07ab1cd9808e6","contributors":{"authors":[{"text":"Grace, James B. 0000-0001-6374-4726 gracej@usgs.gov","orcid":"https://orcid.org/0000-0001-6374-4726","contributorId":884,"corporation":false,"usgs":true,"family":"Grace","given":"James","email":"gracej@usgs.gov","middleInitial":"B.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"preferred":true,"id":500213,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Schoolmaster, Donald R. Jr. 0000-0003-0910-4458 schoolmasterd@usgs.gov","orcid":"https://orcid.org/0000-0003-0910-4458","contributorId":4746,"corporation":false,"usgs":true,"family":"Schoolmaster","given":"Donald","suffix":"Jr.","email":"schoolmasterd@usgs.gov","middleInitial":"R.","affiliations":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":500215,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Schweiger, E. William","contributorId":53635,"corporation":false,"usgs":true,"family":"Schweiger","given":"E.","email":"","middleInitial":"William","affiliations":[],"preferred":false,"id":500217,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Mitchell, Brian R.","contributorId":14683,"corporation":false,"usgs":true,"family":"Mitchell","given":"Brian","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":500216,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Miller, Kathryn","contributorId":94226,"corporation":false,"usgs":true,"family":"Miller","given":"Kathryn","affiliations":[],"preferred":false,"id":500218,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Guntenspergen, Glenn R. 0000-0002-8593-0244 glenn_guntenspergen@usgs.gov","orcid":"https://orcid.org/0000-0002-8593-0244","contributorId":2885,"corporation":false,"usgs":true,"family":"Guntenspergen","given":"Glenn","email":"glenn_guntenspergen@usgs.gov","middleInitial":"R.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":500214,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70101307,"text":"fs20143035 - 2014 - Lithium: for harnessing renewable energy","interactions":[],"lastModifiedDate":"2016-08-31T12:08:12","indexId":"fs20143035","displayToPublicDate":"2014-05-29T14:26:00","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":"2014-3035","title":"Lithium: for harnessing renewable energy","docAbstract":"

Lithium, which has the chemical symbol Li and an atomic number of 3, is the first metal in the periodic table. Lithium has many uses, the most prominent being in batteries for cell phones, laptops, and electric and hybrid vehicles. Worldwide sources of lithium are broken down by ore-deposit type as follows: closed-basin brines, 58%; pegmatites and related granites, 26%; lithium-enriched clays, 7%; oilfield brines, 3%; geothermal brines, 3%; and lithium-enriched zeolites, 3% (2013 statistics). There are over 39 million tons of lithium resources worldwide. Of this resource, the USGS estimates there to be approximately 13 million tons of current economically recoverable lithium reserves. To help predict where future lithium supplies might be located, USGS scientists study how and where identified resources are concentrated in the Earth’s crust, and they use that knowledge to assess the likelihood that undiscovered resources also exist.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20143035","issn":"2327-6932","collaboration":"USGS Mineral Resources Program","usgsCitation":"Bradley, D., and Jaskula, B.W., 2014, Lithium: for harnessing renewable energy: U.S. Geological Survey Fact Sheet 2014-3035, 2 p., https://doi.org/10.3133/fs20143035.","productDescription":"2 p.","numberOfPages":"2","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-050745","costCenters":[{"id":387,"text":"Mineral Resources Program","active":true,"usgs":true}],"links":[{"id":287835,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs20143035.jpg"},{"id":287833,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2014/3035/"},{"id":287834,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2014/3035/pdf/fs2014-3035.pdf","text":"Report","size":"1.88 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Report"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"538848d0e4b0318b93124a2c","contributors":{"authors":[{"text":"Bradley, Dwight","contributorId":32641,"corporation":false,"usgs":true,"family":"Bradley","given":"Dwight","affiliations":[],"preferred":false,"id":492656,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jaskula, Brian W. bjaskula@usgs.gov","contributorId":1935,"corporation":false,"usgs":true,"family":"Jaskula","given":"Brian","email":"bjaskula@usgs.gov","middleInitial":"W.","affiliations":[{"id":432,"text":"National Minerals Information Center","active":true,"usgs":true}],"preferred":false,"id":492655,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70110741,"text":"70110741 - 2014 - Winter browse selection by white-tailed deer and implications for bottomland forest restoration in the Upper Mississippi River Valley, USA","interactions":[],"lastModifiedDate":"2014-05-29T09:49:15","indexId":"70110741","displayToPublicDate":"2014-05-29T09:31:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2821,"text":"Natural Areas Journal","active":true,"publicationSubtype":{"id":10}},"title":"Winter browse selection by white-tailed deer and implications for bottomland forest restoration in the Upper Mississippi River Valley, USA","docAbstract":"White-tailed deer (Odocoileus virginianus) forage selectively, modifying upland forest species composition and in some cases shifting ecosystems to alternative stable states. Few studies, however, have investigated plant selection by deer in bottomland forests. Herbaceous invasive species are common in wetlands and their expansion could be promoted if deer avoid them and preferentially feed on native woody species. We surveyed plant species composition and winter deer browsing in 14 floodplain forest restoration sites along the Upper Mississippi River and tributaries. Tree seedling density declined rapidly with increasing cover of invasive Phalaris arundinacea, averaging less than 1 per m2 in all sites in which the grass was present. Deer browsed ∼46% of available tree seedling stems (branches) at mainland restorations, compared to ∼3% at island sites. Across all tree species, the number of browsed stems increased linearly with the number available and responded unimodally to tree height. Maximum browsing rates were observed on trees with high stem abundances (>10 per plant) and of heights between 50 and 150 cm. Deer preferred Ulmus americana and Acer saccharinum, and avoided Fraxinus pennsylvanica, Acer negundo, and Quercus spp. at mainland sites, and did not browse Phalaris arundinacea if present. Depending on plant growth responses to herbivory and the competitive effects of unbrowsed species, our results suggest that selective foraging could promote the expansion of invasive species and/or alter tree species composition in bottomland forest restorations. Islands may, however, serve as refuges from browsing on a regional scale.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Natural Areas Journal","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Natural Areas Association","doi":"10.3375/043.034.0204","usgsCitation":"Cogger, B.J., De Jager, N.R., Thomsen, M., and Adams, C.R., 2014, Winter browse selection by white-tailed deer and implications for bottomland forest restoration in the Upper Mississippi River Valley, USA: Natural Areas Journal, v. 34, no. 2, p. 144-153, https://doi.org/10.3375/043.034.0204.","productDescription":"10 p.","startPage":"144","endPage":"153","numberOfPages":"10","ipdsId":"IP-038544","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":287794,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":287654,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.3375/043.034.0204"}],"country":"United States","otherGeospatial":"Upper Mississippi River","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -93.3728,42.9725 ], [ -93.3728,44.5425 ], [ -90.3076,44.5425 ], [ -90.3076,42.9725 ], [ -93.3728,42.9725 ] ] ] } } ] }","volume":"34","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"538848d1e4b0318b93124a34","contributors":{"authors":[{"text":"Cogger, Benjamin J.","contributorId":53297,"corporation":false,"usgs":true,"family":"Cogger","given":"Benjamin","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":494126,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"De Jager, Nathan R. 0000-0002-6649-4125","orcid":"https://orcid.org/0000-0002-6649-4125","contributorId":104616,"corporation":false,"usgs":true,"family":"De Jager","given":"Nathan","email":"","middleInitial":"R.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":false,"id":494129,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Thomsen, Meredith","contributorId":82956,"corporation":false,"usgs":true,"family":"Thomsen","given":"Meredith","affiliations":[],"preferred":false,"id":494127,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Adams, Carrie Reinhardt","contributorId":83840,"corporation":false,"usgs":true,"family":"Adams","given":"Carrie","email":"","middleInitial":"Reinhardt","affiliations":[],"preferred":false,"id":494128,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70099901,"text":"70099901 - 2014 - Nonlethal screening of bat-wing skin with the use of ultraviolet fluorescence to detect lesions indicative of white-nose syndrome","interactions":[],"lastModifiedDate":"2018-09-14T16:47:32","indexId":"70099901","displayToPublicDate":"2014-05-29T09:27:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2507,"text":"Journal of Wildlife Diseases","active":true,"publicationSubtype":{"id":10}},"title":"Nonlethal screening of bat-wing skin with the use of ultraviolet fluorescence to detect lesions indicative of white-nose syndrome","docAbstract":"

Definitive diagnosis of the bat disease white-nose syndrome (WNS) requires histologic analysis to identify the cutaneous erosions caused by the fungal pathogen Pseudogymnoascus [formerly Geomyces] destructans (Pd). Gross visual inspection does not distinguish bats with or without WNS, and no nonlethal, on-site, preliminary screening methods are available for WNS in bats. We demonstrate that long-wave ultraviolet (UV) light (wavelength 368–385 nm) elicits a distinct orange–yellow fluorescence in bat-wing membranes (skin) that corresponds directly with the fungal cupping erosions in histologic sections of skin that are the current gold standard for diagnosis of WNS. Between March 2009 and April 2012, wing membranes from 168 North American bat carcasses submitted to the U.S. Geological Survey National Wildlife Health Center were examined with the use of both UV light and histology. Comparison of these techniques showed that 98.8% of the bats with foci of orange–yellow wing fluorescence (n = 80) were WNS-positive based on histologic diagnosis; bat wings that did not fluoresce under UV light (n = 88) were all histologically negative for WNS lesions. Punch biopsy samples as small as 3 mm taken from areas of wing with UV fluorescence were effective for identifying lesions diagnostic for WNS by histopathology. In a nonlethal biopsy-based study of 62 bats sampled (4-mm diameter) in hibernacula of the Czech Republic during 2012, 95.5% of fluorescent (n = 22) and 100% of nonfluorescent (n = 40) wing samples were confirmed by histopathology to be WNS positive and negative, respectively. This evidence supports use of long-wave UV light as a nonlethal and field-applicable method to screen bats for lesions indicative of WNS. Further, UV fluorescence can be used to guide targeted, nonlethal biopsy sampling for follow-up molecular testing, fungal culture analysis, and histologic confirmation of WNS.

","language":"English","publisher":"Wildlife Disease Association","doi":"10.7589/2014-03-058","usgsCitation":"Turner, G.G., Meteyer, C.U., Barton, H., Gumbs, J.F., Reeder, D.M., Overton, B., Bandouchova, H., Bartonicka, T., Martinkova, N., Pikula, J., Zukal, J., and Blehert, D., 2014, Nonlethal screening of bat-wing skin with the use of ultraviolet fluorescence to detect lesions indicative of white-nose syndrome: Journal of Wildlife Diseases, v. 50, no. 3, p. 566-573, https://doi.org/10.7589/2014-03-058.","productDescription":"8 p.","startPage":"566","endPage":"573","numberOfPages":"8","onlineOnly":"N","additionalOnlineFiles":"N","temporalStart":"2009-03-01","temporalEnd":"2012-04-30","ipdsId":"IP-054986","costCenters":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true},{"id":34983,"text":"Contaminant Biology 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Hana","contributorId":11951,"corporation":false,"usgs":true,"family":"Bandouchova","given":"Hana","email":"","affiliations":[],"preferred":false,"id":492042,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Bartonicka, Tomas","contributorId":102799,"corporation":false,"usgs":true,"family":"Bartonicka","given":"Tomas","email":"","affiliations":[],"preferred":false,"id":492050,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Martinkova, Natalia","contributorId":70693,"corporation":false,"usgs":true,"family":"Martinkova","given":"Natalia","email":"","affiliations":[],"preferred":false,"id":492044,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Pikula, Jiri","contributorId":94977,"corporation":false,"usgs":true,"family":"Pikula","given":"Jiri","email":"","affiliations":[],"preferred":false,"id":492047,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Zukal, Jan","contributorId":101995,"corporation":false,"usgs":true,"family":"Zukal","given":"Jan","email":"","affiliations":[],"preferred":false,"id":492048,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Blehert, David S. 0000-0002-1065-9760 dblehert@usgs.gov","orcid":"https://orcid.org/0000-0002-1065-9760","contributorId":1816,"corporation":false,"usgs":true,"family":"Blehert","given":"David S.","email":"dblehert@usgs.gov","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":false,"id":492041,"contributorType":{"id":1,"text":"Authors"},"rank":12}]}} ,{"id":70110364,"text":"sir20145097 - 2014 - Extending the turbidity record: making additional use of continuous data from turbidity, acoustic-Doppler, and laser diffraction instruments and suspended-sediment samples in the Colorado River in Grand Canyon","interactions":[],"lastModifiedDate":"2018-03-21T15:47:21","indexId":"sir20145097","displayToPublicDate":"2014-05-28T16:09:00","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2014-5097","title":"Extending the turbidity record: making additional use of continuous data from turbidity, acoustic-Doppler, and laser diffraction instruments and suspended-sediment samples in the Colorado River in Grand Canyon","docAbstract":"Turbidity is a measure of the scattering and absorption of light in water, which in rivers is primarily caused by particles, usually sediment, suspended in the water. Turbidity varies significantly with differences in the design of the instrument measuring turbidity, a point that is illustrated in this study by side-by-side comparisons of two different models of instruments. Turbidity also varies with changes in the physical parameters of the particles in the water, such as concentration, grain size, grain shape, and color. A turbidity instrument that is commonly used for continuous monitoring of rivers has a light source in the near-infrared range (860±30 nanometers) and a detector oriented 90 degrees from the incident light path. This type of optical turbidity instrument has a limited measurement range (depending on pathlength) that is unable to capture the high turbidity levels of rivers that carry high suspended-sediment loads. The Colorado River in Grand Canyon is one such river, in which approximately 60 percent of the range in suspended-sediment concentration during the study period had unmeasurable turbidity using this type of optical instrument. Although some optical turbidimeters using backscatter or other techniques can measure higher concentrations of suspended sediment than the models used in this study, the maximum turbidity measurable using these other turbidimeters may still be exceeded in conditions of especially high concentrations of suspended silt and clay. In Grand Canyon, the existing optical turbidity instruments remain in use in part to provide consistency over time as new techniques are investigated. As a result, during these periods of high suspended-sediment concentration, turbidity values that could not be measured with the optical turbidity instruments were instead estimated from concurrent acoustic attenuation data collected using side-looking acoustic-Doppler profiler (ADP) instruments. Extending the turbidity record to the full range of sediment concentrations in the study area using data from the ADP instruments is particularly useful for biological studies. In Grand Canyon, turbidity has been correlated with food availability for aquatic organisms (gross primary production) as well as with fish behavior specific to predator-prey interactions. On the basis of the complete “extended” turbidity record and the relation between suspended-sediment concentration and turbidity, levels were higher before the construction of Glen Canyon Dam by a factor of approximately 2,000 at the Lees Ferry monitoring station (15 miles downstream from the dam) and by a factor of approximately 20 at the monitoring station 87 miles downstream from Lees Ferry (102 miles downstream from the dam). A comparison of turbidity data with data from Laser In-Situ Scattering and Transmissometry (LISST) laser-diffraction instruments, suspended-sediment concentration data, and ADP data shows the influence of the physical properties of suspended sediment. Apparent outliers in relations between turbidity, ADP, and suspended-sediment data during two events within the study period, a 2007 tributary flood from a watershed altered by a recent wildfire and a 2008 experimental controlled-flood release from Glen Canyon Dam, are explained in part by atypical grain sizes, shapes, densities, colors, and (or) clay mineral assemblages of suspended sediment occurring in the Colorado River during these two events. These analyses demonstrate the value of using multiple data-collection strategies for turbidity and sediment-transport studies and of continuous monitoring for capturing the full range and duration of turbidity and sediment-transport conditions, identifying the provenance of the sediment causing turbidity, and detecting physical and chemical processes that may be important for management of critical physical and biological resources.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20145097","issn":"2328-0328","usgsCitation":"Voichick, N., and Topping, D.J., 2014, Extending the turbidity record: making additional use of continuous data from turbidity, acoustic-Doppler, and laser diffraction instruments and suspended-sediment samples in the Colorado River in Grand Canyon: U.S. Geological Survey Scientific Investigations Report 2014-5097, vi, 31 p., https://doi.org/10.3133/sir20145097.","productDescription":"vi, 31 p.","numberOfPages":"40","onlineOnly":"Y","ipdsId":"IP-044817","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":287713,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20145097.jpg"},{"id":287711,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2014/5097/"},{"id":287712,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2014/5097/pdf/sir2014-5097.pdf"}],"country":"United States","state":"Arizona","otherGeospatial":"Colorado River;Grand Canyon","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -114.5,35.5 ], [ -114.5,37.0 ], [ -111.0,37.0 ], [ -111.0,35.5 ], [ -114.5,35.5 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5386f750e4b0aa26cd7b5372","contributors":{"authors":[{"text":"Voichick, Nicholas nvoichick@usgs.gov","contributorId":5015,"corporation":false,"usgs":true,"family":"Voichick","given":"Nicholas","email":"nvoichick@usgs.gov","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":494044,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Topping, David J. 0000-0002-2104-4577 dtopping@usgs.gov","orcid":"https://orcid.org/0000-0002-2104-4577","contributorId":715,"corporation":false,"usgs":true,"family":"Topping","given":"David","email":"dtopping@usgs.gov","middleInitial":"J.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":false,"id":494045,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70103410,"text":"ofr20141090 - 2014 - Electron microprobe analyses of glasses from Kīlauea tephra units, Kīlauea Volcano, Hawaii","interactions":[],"lastModifiedDate":"2019-03-06T08:31:19","indexId":"ofr20141090","displayToPublicDate":"2014-05-28T13:29:00","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":"2014-1090","title":"Electron microprobe analyses of glasses from Kīlauea tephra units, Kīlauea Volcano, Hawaii","docAbstract":"This report presents approximately 2,100 glass analyses from three tephra units of Kīlauea Volcano: the Keanakākoʻi Tephra, the Kulanaokuaiki Tephra, and the Pāhala Ash. It also includes some new analyses obtained as part of a re-evaluation of the MgO contents of glasses in two of the three original datasets; this re-evaluation was conducted to improve the consistency of glass MgO contents among the three datasets. The glass data are a principal focus of Helz and others (in press), which will appear in the AGU Monograph Hawaiian Volcanoes—From Source to Surface. The report is intended to support this publication, in addition to making the data available to the scientific community.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20141090","issn":"2331-1258","usgsCitation":"Helz, R.L., Clague, D.A., Mastin, L.G., and Rose, T.R., 2014, Electron microprobe analyses of glasses from Kīlauea tephra units, Kīlauea Volcano, Hawaii: U.S. Geological Survey Open-File Report 2014-1090, Report: iv, 24 p.; Appendix A: XLS; Appendix B: 10 p., https://doi.org/10.3133/ofr20141090.","productDescription":"Report: iv, 24 p.; Appendix A: XLS; Appendix B: 10 p.","onlineOnly":"Y","ipdsId":"IP-050845","costCenters":[{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true}],"links":[{"id":287683,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20141090.jpg"},{"id":287681,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/of/2014/1090/appendixes/of2014-1090_tables.xls"},{"id":287682,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/of/2014/1090/appendixes/of2014-1090_tableB1.pdf"},{"id":287680,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2014/1090/"},{"id":287795,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2014/1090/pdf/of2014-1090.pdf"}],"country":"United States","state":"Hawai'i","otherGeospatial":"Kilauea Volcano","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -155.303007,19.410477 ], [ -155.303007,19.431523 ], [ -155.270993,19.431523 ], [ -155.270993,19.410477 ], [ -155.303007,19.410477 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5386f750e4b0aa26cd7b536e","contributors":{"authors":[{"text":"Helz, Rosalind L. 0000-0003-1550-0684 rhelz@usgs.gov","orcid":"https://orcid.org/0000-0003-1550-0684","contributorId":1952,"corporation":false,"usgs":true,"family":"Helz","given":"Rosalind","email":"rhelz@usgs.gov","middleInitial":"L.","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}],"preferred":true,"id":493337,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Clague, David A.","contributorId":77105,"corporation":false,"usgs":false,"family":"Clague","given":"David","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":493339,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mastin, Larry G. 0000-0002-4795-1992 lgmastin@usgs.gov","orcid":"https://orcid.org/0000-0002-4795-1992","contributorId":555,"corporation":false,"usgs":true,"family":"Mastin","given":"Larry","email":"lgmastin@usgs.gov","middleInitial":"G.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":493336,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Rose, Timothy R.","contributorId":31275,"corporation":false,"usgs":true,"family":"Rose","given":"Timothy","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":493338,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70110692,"text":"70110692 - 2014 - Mountain landscapes offer few opportunities for high-elevation tree species migration","interactions":[],"lastModifiedDate":"2014-05-28T10:17:20","indexId":"70110692","displayToPublicDate":"2014-05-28T10:10:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1837,"text":"Global Change Biology","active":true,"publicationSubtype":{"id":10}},"title":"Mountain landscapes offer few opportunities for high-elevation tree species migration","docAbstract":"Climate change is anticipated to alter plant species distributions. Regional context, notably the spatial complexity of climatic gradients, may influence species migration potential. While high-elevation species may benefit from steep climate gradients in mountain regions, their persistence may be threatened by limited suitable habitat as land area decreases with elevation. To untangle these apparently contradictory predictions for mountainous regions, we evaluated the climatic suitability of four coniferous forest tree species of the western United States based on species distribution modeling (SDM) and examined changes in climatically suitable areas under predicted climate change. We used forest structural information relating to tree species dominance, productivity, and demography from an extensive forest inventory system to assess the strength of inferences made with a SDM approach. We found that tree species dominance, productivity, and recruitment were highest where climatic suitability (i.e., probability of species occurrence under certain climate conditions) was high, supporting the use of predicted climatic suitability in examining species risk to climate change. By predicting changes in climatic suitability over the next century, we found that climatic suitability will likely decline, both in areas currently occupied by each tree species and in nearby unoccupied areas to which species might migrate in the future. These trends were most dramatic for high elevation species. Climatic changes predicted over the next century will dramatically reduce climatically suitable areas for high-elevation tree species while a lower elevation species, Pinus ponderosa, will be well positioned to shift upslope across the region. Reductions in suitable area for high-elevation species imply that even unlimited migration would be insufficient to offset predicted habitat loss, underscoring the vulnerability of these high-elevation species to climatic changes.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Global Change Biology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Wiley","doi":"10.1111/gcb.12504","usgsCitation":"Bell, D.M., Bradford, J.B., and Lauenroth, W.K., 2014, Mountain landscapes offer few opportunities for high-elevation tree species migration: Global Change Biology, v. 20, no. 5, p. 1441-1451, https://doi.org/10.1111/gcb.12504.","productDescription":"11 p.","startPage":"1441","endPage":"1451","numberOfPages":"11","ipdsId":"IP-042944","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":287655,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":287644,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1111/gcb.12504"}],"country":"United States","state":"Arizona;California;Colorado;Idaho;Kansas;Montana;Nebraska;Nevada;New Mexico;North Dakota;Oregon;South Dakota;Utah;Washington;Wyoming","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -120.96,31.35 ], [ -120.96,49.0 ], [ -96.79,49.0 ], [ -96.79,31.35 ], [ -120.96,31.35 ] ] ] } } ] }","volume":"20","issue":"5","noUsgsAuthors":false,"publicationDate":"2014-02-24","publicationStatus":"PW","scienceBaseUri":"5386f751e4b0aa26cd7b5376","contributors":{"authors":[{"text":"Bell, David M.","contributorId":34423,"corporation":false,"usgs":true,"family":"Bell","given":"David","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":494124,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bradford, John B. 0000-0001-9257-6303 jbradford@usgs.gov","orcid":"https://orcid.org/0000-0001-9257-6303","contributorId":611,"corporation":false,"usgs":true,"family":"Bradford","given":"John","email":"jbradford@usgs.gov","middleInitial":"B.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":494123,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lauenroth, William K.","contributorId":80982,"corporation":false,"usgs":false,"family":"Lauenroth","given":"William","email":"","middleInitial":"K.","affiliations":[{"id":7098,"text":"University of Wyoming, Department of Botany, 1000 E. University Avenue, Laramie, WY 82071, USA","active":true,"usgs":false}],"preferred":false,"id":494125,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70143004,"text":"70143004 - 2014 - Groundwater Dating with Atmospheric Halogenated Compounds","interactions":[],"lastModifiedDate":"2015-10-16T15:47:49","indexId":"70143004","displayToPublicDate":"2014-05-28T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Groundwater Dating with Atmospheric Halogenated Compounds","docAbstract":"

\"Atmospheric environmental releases refer to the emission of stable, long-lived compounds of solely anthropogenic origin into the atmosphere and the use of the compounds to estimate dates of their incorporation into groundwater.\"

","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Encyclopedia of Scientific Dating Methods","language":"English","publisher":"Springer Netherlands","doi":"10.1007/978-94-007-6326-5_257-1","usgsCitation":"Haase, K.B., and Busenberg, E., 2014, Groundwater Dating with Atmospheric Halogenated Compounds, chap. of Encyclopedia of Scientific Dating Methods, p. 1-17, https://doi.org/10.1007/978-94-007-6326-5_257-1.","productDescription":"17 p.","startPage":"1","endPage":"17","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-056547","costCenters":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"links":[{"id":309990,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":298566,"type":{"id":15,"text":"Index Page"},"url":"https://link.springer.com/book/10.1007/978-94-007-6326-5"}],"edition":"1","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2014-05-28","publicationStatus":"PW","scienceBaseUri":"56221fb1e4b06217fc479221","contributors":{"authors":[{"text":"Haase, Karl B. 0000-0002-6897-6494 khaase@usgs.gov","orcid":"https://orcid.org/0000-0002-6897-6494","contributorId":3405,"corporation":false,"usgs":true,"family":"Haase","given":"Karl","email":"khaase@usgs.gov","middleInitial":"B.","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":542411,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Busenberg, Eurybiades ebusenbe@usgs.gov","contributorId":2271,"corporation":false,"usgs":true,"family":"Busenberg","given":"Eurybiades","email":"ebusenbe@usgs.gov","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":542412,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70100998,"text":"sir20115053 - 2014 - Proceedings of the U.S. Geological Survey Eighth Biennial Geographic Information Science Workshop and first The National Map Users Conference, Denver, Colorado, May 10-13, 2011","interactions":[],"lastModifiedDate":"2018-02-15T12:38:59","indexId":"sir20115053","displayToPublicDate":"2014-05-27T15:31:00","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2011-5053","displayTitle":"Proceedings of the U.S. Geological Survey Eighth Biennial Geographic Information Science Workshop and first The National Map Users Conference, Denver, Colorado, May 10-13, 2011","title":"Proceedings of the U.S. Geological Survey Eighth Biennial Geographic Information Science Workshop and first The National Map Users Conference, Denver, Colorado, May 10-13, 2011","docAbstract":"

The U.S. Geological Survey (USGS) is sponsoring the first The National Map Users Conference in conjunction with the eighth biennial Geographic Information Science (GIS) Workshop on May 10-13, 2011, in Lakewood, Colorado. The GIS Workshop will be held at the USGS National Training Center, located on the Denver Federal Center, Lakewood, Colorado, May 10-11. The National Map Users Conference will be held directly after the GIS Workshop at the Denver Marriott West, a convention hotel in the Lakewood, Colorado area, May 12-13.

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The National Map is designed to serve the Nation by providing geographic data and knowledge for government, industry, and public uses. The goal of The National Map Users Conference is to enhance communications and collaboration among the communities of users of and contributors to The National Map, including USGS, Department of the Interior, and other government GIS specialists and scientists, as well as the broader geospatial community. The USGS National Geospatial Program intends the conference to serve as a forum to engage users and more fully discover and meet their needs for the products and services of The National Map.

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The goal of the GIS Workshop is to promote advancement of GIS and related technologies and concepts as well as the sharing of GIS knowledge within the USGS GIS community. This collaborative opportunity for multi-disciplinary GIS and associated professionals will allow attendees to present and discuss a wide variety of geospatial-related topics.

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The Users Conference and Workshop collaboration will bring together scientists, managers, and data users who, through presentations, posters, seminars, workshops, and informal gatherings, will share accomplishments and progress on a variety of geospatial topics. During this joint event, attendees will have the opportunity to present or demonstrate their work; to develop their knowledge by attending hands-on workshops, seminars, and presentations given by professionals from USGS and other Federal Agencies, GIS related companies, and academia; and to network with other professionals to develop collaborative opportunities.

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Specific conference topics include scientific and modeling applications using The National Map, opportunities for partnerships, and advances in geospatial technologies.

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The first part of the week will be the GIS Workshop, offered as a pre-conference seminar. It will focus on hands-on GIS training and seminars concerning current topics of geospatial interest. The focus of the USGS GIS Workshop is to showcase specific techniques and concepts for using GIS in support of science. The presentations will be educational and not a marketing endeavor. To promote awareness of and interaction with selected USGS corporate and local science center data products, as well as promoting collaboration, a “GIS Olympics” event will be held Tuesday evening during the GIS Workshop.

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The second part of the week will feature interactive briefings and discussions on issues and opportunities of The National Map. The focus of the Users Conference will be on the role of The National Map in supporting science initiatives, emergency response, land and wildlife management, and other activities. All presentations at the Users Conference include use or innovations related to a The National Map data theme or application. On Wednesday evening, a poster session is being held as a combined event for all attendees and as a juncture between the events. On Thursday evening, the Henry Gannett Award will be presented. Additionally, poster awards will be presented.

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Several prominent speakers are featured at plenary sessions at The National Map Users Conference, including Deanna A. Archuleta, Deputy Assistant Secretary for Water and Science, Department of the Interior; Dr. Barbara P. Buttenfield, Professor of Geography at the University of Colorado in Boulder; best-selling author Frederick Reuss; and Dr. Joel Scheraga, Senior Advisor for Climate Adaptation, U.S. Environmental Protection Agency. Additionally, panel discussions have attracted participation from notable experts from government, academia, and the private sector.

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This Proceedings volume will serve as an activity reference for workshop attendees, as well as an archive of technical abstracts presented at the workshop. Author, co-author, and presenter names, affiliations, and contact information are listed with presentation titles with the abstracts. Some hands-on sessions are offered twice; in these instances, abstracts submitted for publication are presented in the proceedings on both days on which they are offered.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20115053","issn":"2328-0328","usgsCitation":"2014, Proceedings of the U.S. Geological Survey Eighth Biennial Geographic Information Science Workshop and first The National Map Users Conference, Denver, Colorado, May 10-13, 2011: U.S. Geological Survey Scientific Investigations Report 2011-5053, xiii, 91 p., https://doi.org/10.3133/sir20115053.","productDescription":"xiii, 91 p.","numberOfPages":"112","onlineOnly":"Y","temporalStart":"2011-05-10","temporalEnd":"2011-05-13","ipdsId":"IP-028727","costCenters":[{"id":423,"text":"National Geospatial Program","active":true,"usgs":true}],"links":[{"id":287634,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20115053.jpg"},{"id":287633,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2011/5053/pdf/sir2011-5053.pdf"},{"id":287632,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2011/5053/"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5385a5d6e4b09e18fc0239f7","contributors":{"editors":[{"text":"Sieverling, Jennifer B. jbsiever@usgs.gov","contributorId":4806,"corporation":false,"usgs":true,"family":"Sieverling","given":"Jennifer","email":"jbsiever@usgs.gov","middleInitial":"B.","affiliations":[],"preferred":true,"id":728631,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Dietterle, Jeffrey jdietterle@usgs.gov","contributorId":4150,"corporation":false,"usgs":true,"family":"Dietterle","given":"Jeffrey","email":"jdietterle@usgs.gov","affiliations":[],"preferred":true,"id":728632,"contributorType":{"id":2,"text":"Editors"},"rank":2}]}} ,{"id":70093208,"text":"sir20145021 - 2014 - Simulation of natural flows in major river basins in Alabama","interactions":[],"lastModifiedDate":"2014-05-27T15:20:17","indexId":"sir20145021","displayToPublicDate":"2014-05-27T15:14:00","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2014-5021","title":"Simulation of natural flows in major river basins in Alabama","docAbstract":"The Office of Water Resources (OWR) in the Alabama Department of Economic and Community Affairs (ADECA) is charged with the assessment of the State’s water resources. This study developed a watershed model for the major river basins that are within Alabama or that cross Alabama’s borders, which serves as a planning tool for water-resource decisionmakers. The watershed model chosen to assess the natural amount of available water was the Precipitation-Runoff Modeling System (PRMS). Models were configured and calibrated for the following four river basins: Mobile, Gulf of Mexico, Middle Tennessee, and Chattahoochee. These models required calibrating unregulated U.S. Geological Survey (USGS) streamflow gaging stations to estimate natural flows, with emphases on low-flow calibration. The target calibration criteria required the errors be within the range of: (1) ±10 percent for total-streamflow volume, (2) ±10 percent for low-flow volume, (3) ±15 percent for high-flow volume, (4) ±30 percent for summer volume, and (5) above 0.5 for the correlation coefficient (R2). Seventy-one of the 90 calibration stations in the watershed models for the four major river basins within Alabama met the target calibration criteria. Variability in the model performance can be attributed to limitations in correctly representing certain hydrologic conditions that are characterized by some of the ecoregions in Alabama. Ecoregions consisting of predominantly clayey soils and (or) low topographic relief yield less successful calibration results, whereas ecoregions consisting of loamy and sandy soils and (or) high topographic relief yield more successful calibration results. Results indicate that the model does well in hilly regions with sandy soils because of rapid surface runoff and more direct interaction with subsurface flow.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20145021","collaboration":"Prepared in cooperation with the Alabama Department of Economic and Community Affairs—Office of Water Resources","usgsCitation":"Hunt, A.M., and García, A., 2014, Simulation of natural flows in major river basins in Alabama: U.S. Geological Survey Scientific Investigations Report 2014-5021, Report: vi, 32 p.; Appendix 1; Downloads Directory, https://doi.org/10.3133/sir20145021.","productDescription":"Report: vi, 32 p.; Appendix 1; Downloads Directory","numberOfPages":"42","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-049894","costCenters":[{"id":105,"text":"Alabama Water Science Center","active":true,"usgs":true}],"links":[{"id":287629,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20145021.jpg"},{"id":287627,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2014/5021/appendix/sir2014-5021_appendix1.pdf"},{"id":287628,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/sir/2014/5021/downloads"},{"id":287625,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2014/5021/"},{"id":287626,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2014/5021/pdf/sir2014-5021.pdf"}],"country":"United States","state":"Alabama","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -90.0,29.5 ], [ -90.0,37.01 ], [ -82.99,37.01 ], [ -82.99,29.5 ], [ -90.0,29.5 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5385a5d6e4b09e18fc0239fb","contributors":{"authors":[{"text":"Hunt, Alexandria M. amhunt@usgs.gov","contributorId":4927,"corporation":false,"usgs":true,"family":"Hunt","given":"Alexandria","email":"amhunt@usgs.gov","middleInitial":"M.","affiliations":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"preferred":true,"id":489980,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"García, Ana María","contributorId":9172,"corporation":false,"usgs":true,"family":"García","given":"Ana María","affiliations":[],"preferred":false,"id":489981,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70110631,"text":"70110631 - 2014 - Organizing phenological data resources to inform natural resource conservation","interactions":[],"lastModifiedDate":"2014-05-27T15:04:25","indexId":"70110631","displayToPublicDate":"2014-05-27T15:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1015,"text":"Biological Conservation","active":true,"publicationSubtype":{"id":10}},"title":"Organizing phenological data resources to inform natural resource conservation","docAbstract":"Changes in the timing of plant and animal life cycle events, in response to climate change, are already happening across the globe. The impacts of these changes may affect biodiversity via disruption to mutualisms, trophic mismatches, invasions and population declines. To understand the nature, causes and consequences of changed, varied or static phenologies, new data resources and tools are being developed across the globe. The USA National Phenology Network is developing a long-term, multi-taxa phenological database, together with a customizable infrastructure, to support conservation and management needs. We present current and potential applications of the infrastructure, across scales and user groups. The approaches described here are congruent with recent trends towards multi-agency, large-scale research and action.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Biological Conservation","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","doi":"10.1016/j.biocon.2013.07.003","usgsCitation":"Rosemartin, A.H., Crimmins, T., Enquist, C., Gerst, K., Kellermann, J.L., Posthumus, E., Denny, E.G., Guertin, P., Marsh, L., and Weltzin, J., 2014, Organizing phenological data resources to inform natural resource conservation: Biological Conservation, v. 173, p. 90-97, https://doi.org/10.1016/j.biocon.2013.07.003.","productDescription":"8 p.","startPage":"90","endPage":"97","numberOfPages":"8","ipdsId":"IP-042364","costCenters":[{"id":433,"text":"National Phenology Network","active":true,"usgs":true}],"links":[{"id":472978,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.biocon.2013.07.003","text":"Publisher Index Page"},{"id":287624,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":287622,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.biocon.2013.07.003"}],"volume":"173","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5385a5d4e4b09e18fc0239f3","contributors":{"authors":[{"text":"Rosemartin, Alyssa H.","contributorId":30910,"corporation":false,"usgs":true,"family":"Rosemartin","given":"Alyssa","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":494115,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Crimmins, Theresa","contributorId":103579,"corporation":false,"usgs":false,"family":"Crimmins","given":"Theresa","affiliations":[],"preferred":false,"id":494122,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Enquist, Carolyn A.F.","contributorId":87445,"corporation":false,"usgs":true,"family":"Enquist","given":"Carolyn A.F.","affiliations":[],"preferred":false,"id":494121,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gerst, Katharine L.","contributorId":29739,"corporation":false,"usgs":true,"family":"Gerst","given":"Katharine L.","affiliations":[],"preferred":false,"id":494114,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kellermann, Jherime L.","contributorId":73111,"corporation":false,"usgs":true,"family":"Kellermann","given":"Jherime","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":494118,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Posthumus, Erin E.","contributorId":77460,"corporation":false,"usgs":true,"family":"Posthumus","given":"Erin E.","affiliations":[],"preferred":false,"id":494119,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Denny, Ellen G.","contributorId":79803,"corporation":false,"usgs":true,"family":"Denny","given":"Ellen","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":494120,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Guertin, Patricia","contributorId":37428,"corporation":false,"usgs":true,"family":"Guertin","given":"Patricia","affiliations":[],"preferred":false,"id":494116,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Marsh, Lee","contributorId":16755,"corporation":false,"usgs":true,"family":"Marsh","given":"Lee","affiliations":[],"preferred":false,"id":494113,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Weltzin, Jake F.","contributorId":51005,"corporation":false,"usgs":true,"family":"Weltzin","given":"Jake F.","affiliations":[],"preferred":false,"id":494117,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}} ,{"id":70110624,"text":"70110624 - 2014 - An approach for filtering hyperbolically positioned underwater acoustic telemetry data with position precision estimates","interactions":[],"lastModifiedDate":"2014-05-27T14:55:23","indexId":"70110624","displayToPublicDate":"2014-05-27T14:50:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":773,"text":"Animal Biotelemetry","active":true,"publicationSubtype":{"id":10}},"title":"An approach for filtering hyperbolically positioned underwater acoustic telemetry data with position precision estimates","docAbstract":"

Background
\nTelemetry systems that estimate animal positions with hyperbolic positioning algorithms also provide a technology-specific estimate of position precision (e.g., horizontal position error (HPE) for the VEMCO positioning system). Position precision estimates (e.g., dilution of precision for a global positioning system (GPS)) have been used extensively to identify and remove positions with unacceptable measurement error in studies of terrestrial and surfacing aquatic animals such as turtles and seals. Few underwater acoustic telemetry studies report using position precision estimates to filter data in accordance with explicit data quality objectives because the relationship between the precision estimate and measurement error is not understood or not evaluated. A four-step filtering approach which incorporates data-filtering principles developed for GPS tracking of terrestrial animals is demonstrated. HPE was evaluated for its effectiveness to remove uncertain fish positions acquired from a new underwater fine-scale passive acoustic monitoring system.

\n
\n

Results
\nFour filtering objectives were identified based on the need for three sequential future analyses and four data quality criteria were developed for evaluating the performance of individual filters (step 1). The unfiltered, baseline position confidence from known-position test tags was considered to determine if filtering was necessary (step 2). An HPE filter cutoff of 8 was selected to meet the four criteria (step 3), and it was determined that one analysis may need to be adjusted for use with this dataset. The data quality objectives, criteria, and filter selection rationale were reported (step 4).

\n
\n

Conclusions
\nThe use of position precision estimates that reflect the confidence in the positioning process should be considered prior to the use of biological filters that rely on a priori expectations of the subject’s movement capacities and tendencies. Position confidence goals should be determined based upon the needs of the research questions and analysis requirements versus arbitrary selection, in which filters of previous studies are adopted. Data filtering with this approach ensures that data quality is sufficient for the selected analyses and presents the opportunity to adjust or identify a different analysis in the event that the requisite precision was not attained. Ignoring these steps puts a practitioner at risk of reporting errant findings.

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