Conservation efforts in isolated archipelagos such as Hawaii often focus on habitat-based conservation and restoration efforts that benefit multiple species. Unfortunately, identifying locations where such efforts are safer from climatic shifts is still challenging. We aimed to provide a method to approximate these potential habitat shifts for similar data- and research-limited contexts. We modeled the relationship between climate and the potential distribution of native biomes across the Hawaiian archipelago to provide a first approximation of potential native biome shifts under end-of-century projected climate. Our correlative model circumvents the lack of data necessary for the parameterization of mechanistic vegetation models in isolated and data-poor islands. We identified locations consistently expected to remain the same in terms of the native biome compatibility by the end of the century with a robust evaluation of sources of uncertainty in our projections. Our results show that, despite large differences in climate projections considered, 35% of the areas considered are consistently projected to maintain their current compatibility to native biomes. By integrating our native biome compatibility projections with maps of current actual cover, we identified areas ideal for long-term habitat conservation and restoration. Our modeling approach can be used with relatively simple data; offers multiple forms of projection confidence estimates, model calibration, and variable selection routines; and is compatible with ensemble projections. This method is not only applicable to potential native cover, as done in this study, but to any set of vegetation classes that are related to environmental predictors available for modeling.
","language":"English","publisher":"Springer","doi":"10.1007/s10113-018-1342-6","usgsCitation":"Fortini, L., and Jacobi, J.D., 2018, Identifying opportunities for long-lasting habitat conservation and restoration in Hawaii’s shifting climate: Regional Environmental Change, v. 18, no. 8, p. 2391-2402, https://doi.org/10.1007/s10113-018-1342-6.","productDescription":"12 p.","startPage":"2391","endPage":"2402","ipdsId":"IP-080046","costCenters":[{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true}],"links":[{"id":360740,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Hawaii","volume":"18","issue":"8","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2018-05-16","publicationStatus":"PW","scienceBaseUri":"5c5022c5e4b0708288f7e821","contributors":{"authors":[{"text":"Fortini, Lucas B. 0000-0002-5781-7295","orcid":"https://orcid.org/0000-0002-5781-7295","contributorId":202074,"corporation":false,"usgs":true,"family":"Fortini","given":"Lucas B.","affiliations":[{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true}],"preferred":true,"id":754903,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jacobi, James D. 0000-0003-2313-7862 jjacobi@usgs.gov","orcid":"https://orcid.org/0000-0003-2313-7862","contributorId":3705,"corporation":false,"usgs":true,"family":"Jacobi","given":"James","email":"jjacobi@usgs.gov","middleInitial":"D.","affiliations":[{"id":5049,"text":"Pacific Islands Ecosys Research Center","active":true,"usgs":true},{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true}],"preferred":true,"id":754904,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70202320,"text":"70202320 - 2018 - Historical patterns of wildfire ignition sources in California ecosystems","interactions":[],"lastModifiedDate":"2019-02-22T13:01:08","indexId":"70202320","displayToPublicDate":"2018-12-01T13:01:03","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2083,"text":"International Journal of Wildland Fire","active":true,"publicationSubtype":{"id":10}},"title":"Historical patterns of wildfire ignition sources in California ecosystems","docAbstract":"State and federal agencies have reported fire causes since the early 1900s, explicitly for the purpose of helping land managers design fire-prevention programs. We document fire-ignition patterns in five homogenous climate divisions in California over the past 98 years on state Cal Fire protected lands and 107 years on federal United States Forest Service lands. Throughout the state, fire frequency increased steadily until a peak c. 1980, followed by a marked drop to 2016. There was not a tight link between frequency of ignition sources and area burned by those sources and the relationships have changed over time. Natural lightning-ignited fires were consistently fewer from north to south and from high to low elevation. Throughout most of the state, human-caused fires dominated the record and were positively correlated with population density for the first two-thirds of the record, but this relationship reversed in recent decades. We propose a mechanistic multi-variate model of factors driving fire frequency, where the importance of different factors has changed over time. Although ignition sources have declined markedly in recent decades, one notable exception is powerline ignitions. One important avenue for future fire-hazard reduction will be consideration of solutions to reduce this source of dangerous fires.
","language":"English","publisher":"International Association of Wildland Fire","doi":"10.1071/WF18026","usgsCitation":"Keeley, J.E., and Syphard, A.D., 2018, Historical patterns of wildfire ignition sources in California ecosystems: International Journal of Wildland Fire, v. 27, no. 12, p. 781-799, https://doi.org/10.1071/WF18026.","productDescription":"19 p.","startPage":"781","endPage":"799","ipdsId":"IP-095350","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":468216,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1071/wf18026","text":"Publisher Index Page"},{"id":361467,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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\"}}]}","volume":"27","issue":"12","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Keeley, Jon E. 0000-0002-4564-6521 jon_keeley@usgs.gov","orcid":"https://orcid.org/0000-0002-4564-6521","contributorId":1268,"corporation":false,"usgs":true,"family":"Keeley","given":"Jon","email":"jon_keeley@usgs.gov","middleInitial":"E.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":757820,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Syphard, Alexandra D.","contributorId":8977,"corporation":false,"usgs":false,"family":"Syphard","given":"Alexandra","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":757821,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70201286,"text":"70201286 - 2018 - Evaluating riparian vegetation change in canyon-bound reaches of the Colorado River using spatially extensive matched photo sets","interactions":[],"lastModifiedDate":"2018-12-10T12:49:01","indexId":"70201286","displayToPublicDate":"2018-12-01T12:48:53","publicationYear":"2018","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Evaluating riparian vegetation change in canyon-bound reaches of the Colorado River using spatially extensive matched photo sets","docAbstract":"Much of what we know about the functional ecology of aquatic and riparian ecosystems comes from work on regulated rivers (Johnson et al. 2012). What little we know about unregulated conditions on many of our larger rivers is often inferred from recollections of individuals, personal diaries, notes, maps, and collections from early scientific surveys (Webb et al. 2007) and from repeat photography (Turner and Karpiscak 1980; Webb 1996). Later surveys often included photographs typically taken at specific and relatively few locations. Because rivers and their related riparian ecosystems vary in both longitudinal and lateral dimensions, such records provide relatively general and incomplete information about historical resource conditions, especially at large spatial scales and over long spans of time.
","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"Riparian research and management: Past, present, future: Volume 1 (General Technical Report RMRS-GTR-377)","largerWorkSubtype":{"id":1,"text":"Federal Government Series"},"language":"English","publisher":"U.S. Forest Service","doi":"10.2737/RMRS-GTR-377-CHAP9","usgsCitation":"Scott, M.L., Webb, R., Johnson, R.R., Turner, R.M., Friedman, J.M., and Fairley, H.C., 2018, Evaluating riparian vegetation change in canyon-bound reaches of the Colorado River using spatially extensive matched photo sets, chap. of Riparian research and management: Past, present, future: Volume 1 (General Technical Report RMRS-GTR-377), p. 148-173, https://doi.org/10.2737/RMRS-GTR-377-CHAP9.","productDescription":"26 p.","startPage":"148","endPage":"173","ipdsId":"IP-073114","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":468217,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.2737/rmrs-gtr-377-chap9","text":"Publisher Index Page"},{"id":360105,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arizona, Colorado","otherGeospatial":"Colorado River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -114,\n 35.75\n ],\n [\n -111,\n 35.75\n ],\n [\n -111,\n 37.5\n ],\n [\n -114,\n 37.5\n ],\n [\n -114,\n 35.75\n ]\n ]\n ]\n }\n }\n ]\n}","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5c0f897be4b0c53ecb2c71f6","contributors":{"authors":[{"text":"Scott, Michael L.","contributorId":204827,"corporation":false,"usgs":false,"family":"Scott","given":"Michael","email":"","middleInitial":"L.","affiliations":[{"id":36206,"text":"Retired","active":true,"usgs":false}],"preferred":false,"id":753486,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Webb, Robert H. rhwebb@usgs.gov","contributorId":1573,"corporation":false,"usgs":false,"family":"Webb","given":"Robert H.","email":"rhwebb@usgs.gov","affiliations":[{"id":12625,"text":"School of Natural Resources and the Environment, University of Arizona, Tucson, AZ, 85721, USA","active":true,"usgs":false}],"preferred":false,"id":753487,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Johnson, R. Roy","contributorId":211262,"corporation":false,"usgs":false,"family":"Johnson","given":"R.","email":"","middleInitial":"Roy","affiliations":[],"preferred":false,"id":753488,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Turner, Raymond M.","contributorId":211263,"corporation":false,"usgs":false,"family":"Turner","given":"Raymond","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":753489,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Friedman, Jonathan M. 0000-0002-1329-0663 friedmanj@usgs.gov","orcid":"https://orcid.org/0000-0002-1329-0663","contributorId":2473,"corporation":false,"usgs":true,"family":"Friedman","given":"Jonathan","email":"friedmanj@usgs.gov","middleInitial":"M.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":753485,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Fairley, Helen C. 0000-0001-6151-4804 hfairley@usgs.gov","orcid":"https://orcid.org/0000-0001-6151-4804","contributorId":3040,"corporation":false,"usgs":true,"family":"Fairley","given":"Helen","email":"hfairley@usgs.gov","middleInitial":"C.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":false,"id":753490,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70201275,"text":"70201275 - 2018 - Ontogenetic changes in swimming speed of silver carp, bighead carp, and grass carp larvae: implications for larval dispersal","interactions":[],"lastModifiedDate":"2018-12-10T12:43:46","indexId":"70201275","displayToPublicDate":"2018-12-01T12:43:43","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3840,"text":"PeerJ","active":true,"publicationSubtype":{"id":10}},"title":"Ontogenetic changes in swimming speed of silver carp, bighead carp, and grass carp larvae: implications for larval dispersal","docAbstract":"Bighead, silver, and grass carps are invasive in the waterways of central North America, and grass carp reproduction in tributaries of the Great Lakes has now been documented. Questions about recruitment potential motivate a need for accurate models of egg and larval dispersal. Quantitative data on swimming behaviors and capabilities during early ontogeny are needed to improve these dispersal models. We measured ontogenetic changes in routine and maximum swimming speeds of bighead, grass, and silver carp larvae. Daily measurements of routine swimming speed were taken for two weeks post-hatch using a still camera and the LARVEL program, a custom image-analysis software. Larval swimming speed was calculated using larval locations in subsequent image frames and time between images. Using an endurance chamber, we determined the maximum swimming speed of larvae (post-gas bladder inflation) for four to eight weeks post-hatch. For all species, larval swimming speeds showed similar trends with respect to ontogeny: increases in maximum speed, and decreases in routine speed. Maximum speeds of bighead and grass carp larvae were similar and generally faster than silver carp larvae. Routine swimming speeds of all larvae were highest before gas bladder inflation, most likely because gas bladder inflation allowed the fish to maintain position without swimming. Downward vertical velocities of pre-gas bladder inflation fish were faster than upward velocities. Among the three species, grass carp larvae had the highest swimming speeds in the pre-gas bladder inflation period, and the lowest speeds in the post-gas bladder inflation period. Knowledge of swimming capability of these species, along with hydraulic characteristics of a river, enables further refinement of models of embryonic and larval drift.
","language":"English","publisher":"PeerJ","doi":"10.7717/peerj.5869","usgsCitation":"George, A.E., Garcia, T., Stahlschmidt, B.H., and Chapman, D., 2018, Ontogenetic changes in swimming speed of silver carp, bighead carp, and grass carp larvae: implications for larval dispersal: PeerJ, v. 6, e5869; 18 p., https://doi.org/10.7717/peerj.5869.","productDescription":"e5869; 18 p.","ipdsId":"IP-088251","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"links":[{"id":460799,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.7717/peerj.5869","text":"Publisher Index Page"},{"id":437665,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7WH2NW4","text":"USGS data release","linkHelpText":"Ontogenetic changes in swimming speed of silver carp, bighead carp, and grass carp larvae-Data"},{"id":360104,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"6","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationDate":"2018-11-02","publicationStatus":"PW","scienceBaseUri":"5c0f897be4b0c53ecb2c71fa","contributors":{"authors":[{"text":"George, Amy E. 0000-0003-1150-8646 ageorge@usgs.gov","orcid":"https://orcid.org/0000-0003-1150-8646","contributorId":3950,"corporation":false,"usgs":true,"family":"George","given":"Amy","email":"ageorge@usgs.gov","middleInitial":"E.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":753452,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Garcia, Tatiana 0000-0002-1979-7246 tgarcia@usgs.gov","orcid":"https://orcid.org/0000-0002-1979-7246","contributorId":140327,"corporation":false,"usgs":true,"family":"Garcia","given":"Tatiana","email":"tgarcia@usgs.gov","affiliations":[{"id":344,"text":"Illinois Water Science Center","active":true,"usgs":true}],"preferred":true,"id":753453,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Stahlschmidt, Benjamin H. 0000-0001-6197-662X","orcid":"https://orcid.org/0000-0001-6197-662X","contributorId":211250,"corporation":false,"usgs":true,"family":"Stahlschmidt","given":"Benjamin","email":"","middleInitial":"H.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":753454,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Chapman, Duane 0000-0002-1086-8853 dchapman@usgs.gov","orcid":"https://orcid.org/0000-0002-1086-8853","contributorId":1291,"corporation":false,"usgs":true,"family":"Chapman","given":"Duane","email":"dchapman@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true},{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":753506,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70202223,"text":"70202223 - 2018 - Accounting for surveyor effort in large-scale monitoring programs","interactions":[],"lastModifiedDate":"2019-02-15T12:37:10","indexId":"70202223","displayToPublicDate":"2018-12-01T12:37:04","publicationYear":"2018","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":"Accounting for surveyor effort in large-scale monitoring programs","docAbstract":"Accounting for errors in wildlife surveys is necessary for reliable status assessments and quantification of uncertainty in estimates of population size. We apply a hierarchical log-linear Poisson regression model that accounts for multiple sources of variability in count data collected for the Integrated Waterbird Management and Monitoring Program during 2010–2014. In some large-scale monitoring programs (e.g., Christmas Bird Count) there are diminishing returns in numbers counted as survey effort increases; therefore, we also explore the need to account for variable survey duration as a proxy for effort. In general, we found a high degree of concordance between counts and effort-adjusted estimates of relative abundance from the Integrated Waterbird Management and Monitoring Program (x̄difference = 0.02%; 0.25% SD). We suggest that the model-based adjustments were small because there is only a weak asymptotic relationship with effort and count. Whereas effort adjustments are reasonable and effective when applied to count data from plots of standardized area, such adjustments may not be necessary when the area of sample units is not standardized and surveyor effort increases with number of birds present. That is, large units require more effort only when there are many birds present. The general framework we implemented to evaluate effects of varying survey effort applies to a wide variety of wildlife monitoring efforts.
","language":"English","publisher":"U.S. Fish and Wildlife Service","doi":"10.3996/022018-JFWM-012","usgsCitation":"Aagaard, K., Lyons, J.E., and Thogmartin, W.E., 2018, Accounting for surveyor effort in large-scale monitoring programs: Journal of Fish and Wildlife Management, v. 9, no. 2, p. 459-466, https://doi.org/10.3996/022018-JFWM-012.","productDescription":"8 p.","startPage":"459","endPage":"466","ipdsId":"IP-079755","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":468218,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3996/022018-jfwm-012","text":"Publisher Index Page"},{"id":361285,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"9","issue":"2","publishingServiceCenter":{"id":15,"text":"Madison PSC"},"noUsgsAuthors":false,"publicationDate":"2018-08-14","publicationStatus":"PW","contributors":{"authors":[{"text":"Aagaard, Kevin 0000-0003-0756-2172 kaagaard@usgs.gov","orcid":"https://orcid.org/0000-0003-0756-2172","contributorId":147393,"corporation":false,"usgs":true,"family":"Aagaard","given":"Kevin","email":"kaagaard@usgs.gov","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":757317,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lyons, James E. 0000-0002-9810-8751 jelyons@usgs.gov","orcid":"https://orcid.org/0000-0002-9810-8751","contributorId":177546,"corporation":false,"usgs":true,"family":"Lyons","given":"James","email":"jelyons@usgs.gov","middleInitial":"E.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":false,"id":757318,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Thogmartin, Wayne E. 0000-0002-2384-4279 wthogmartin@usgs.gov","orcid":"https://orcid.org/0000-0002-2384-4279","contributorId":2545,"corporation":false,"usgs":true,"family":"Thogmartin","given":"Wayne","email":"wthogmartin@usgs.gov","middleInitial":"E.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":757319,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70202937,"text":"70202937 - 2018 - Navigating the field of decision analysis","interactions":[],"lastModifiedDate":"2020-12-15T21:21:00.802366","indexId":"70202937","displayToPublicDate":"2018-12-01T12:36:36","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5682,"text":"Decision Point Online","active":true,"publicationSubtype":{"id":10}},"title":"Navigating the field of decision analysis","docAbstract":"Managers, policy makers, and decision makers with responsibility for environmental decisions have an extraordinarily difficult job. The systems they manage are complex (coupled human-natural systems), with many dimensions and complicated dynamics. Our knowledge of how those systems respond to management actions is often limited, so many of the decisions have to be made in the face of uncertainty.\n\nThe field of decision analysis provides a comprehensive set of tools for structuring, analyzing, and making decisions. Arising initially as a way to understand and manage risk, the field has expanded in the last 80 years to cover such topics as multipleobjective trade-offs, time-dependent linked decisions, the value of information, and competition among multiple decision makers. At the same time, cognitive psychologists and behavioural economists have studied human decisions to understand when our innate processes work and when they fail.\n\nFormal decision analysis is increasingly being used in many sectors, including economic, industrial, manufacturing, agricultural, transportation, and medical sectors, by individuals, corporations, non-profits, and government agencies. Occasional application of decision analysis to environmental decisions began in the mid-1970s, but the environmental science and management world was largely unaware of decision analysis until the late 1990s and early 2000s. (A major aim of the ARC Centre of Excellence for Environmental Decisions – CEED –\nwas to better connect decision analysis and environmental management).\n\nToday, the field of environmental decision analysis is coming of age with the maturation of a rich set of tools to help decision makers frame, analyze, and implement decisions. Sometimes\nthe wealth of tools is daunting, but there are core principles that tie decision analysis together. To help the reader navigate this complexity, we summarize the field of decision analysis in four key messages.","language":"English","publisher":"Centre of Excellence for Environmental Decisions","usgsCitation":"Runge, M.C., and McDonald-Madden, E., 2018, Navigating the field of decision analysis: Decision Point Online, no. 107, p. 4-11.","productDescription":"8 p.","startPage":"4","endPage":"11","ipdsId":"IP-103022","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":362837,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":362821,"type":{"id":15,"text":"Index Page"},"url":"https://decision-point.com.au/article/navigating-the-field-of-decision-analysis-2/"}],"issue":"107","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Runge, Michael C. 0000-0002-8081-536X mrunge@usgs.gov","orcid":"https://orcid.org/0000-0002-8081-536X","contributorId":3358,"corporation":false,"usgs":true,"family":"Runge","given":"Michael","email":"mrunge@usgs.gov","middleInitial":"C.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":760551,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McDonald-Madden, Eve","contributorId":139968,"corporation":false,"usgs":false,"family":"McDonald-Madden","given":"Eve","email":"","affiliations":[{"id":13337,"text":"CSIRO Ecosystem Services, Queensland, Australia","active":true,"usgs":false}],"preferred":false,"id":760552,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70202763,"text":"70202763 - 2018 - Characterization of groundwater resources in the Chequamegon-Nicolet National Forest, Wisconsin: Nicolet Unit","interactions":[],"lastModifiedDate":"2019-04-01T15:55:55","indexId":"70202763","displayToPublicDate":"2018-12-01T12:31:27","publicationYear":"2018","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":2,"text":"State or Local Government Series"},"seriesTitle":{"id":138,"text":"Technical Report","active":true,"publicationSubtype":{"id":2}},"seriesNumber":"004-2","title":"Characterization of groundwater resources in the Chequamegon-Nicolet National Forest, Wisconsin: Nicolet Unit","docAbstract":"No abstract available.
","largerWorkTitle":"Wisconsin Geological and Natural History Survey Technical Report 004-2","language":"English","publisher":"Wisconsin Geological and Natural History Survey","usgsCitation":"Fehling, A., Bradbury, K., Schoephoester, P.R., Mauel, S., Leaf, A.T., Juckem, P., and Hunt, R., 2018, Characterization of groundwater resources in the Chequamegon-Nicolet National Forest, Wisconsin: Nicolet Unit: Technical Report 004-2, vi, 61 p.","productDescription":"vi, 61 p.","numberOfPages":"70","ipdsId":"IP-081728","costCenters":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"links":[{"id":362299,"type":{"id":15,"text":"Index Page"},"url":"https://wgnhs.uwex.edu/pubs/000961/"},{"id":362626,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Wisconsin","county":"Taylor County","otherGeospatial":"Chequamegon-Nicolet National Forest","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -91.5,\n 45\n ],\n [\n -88.505859375,\n 45\n ],\n [\n -88.505859375,\n 46.81133924039194\n ],\n [\n -91.5,\n 46.81133924039194\n ],\n [\n -91.5,\n 45\n ]\n ]\n ]\n }\n }\n ]\n}","publishingServiceCenter":{"id":15,"text":"Madison PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Fehling, Anna","contributorId":214436,"corporation":false,"usgs":false,"family":"Fehling","given":"Anna","email":"","affiliations":[{"id":39043,"text":"Wisconsin Geological and Natural History Survey","active":true,"usgs":false}],"preferred":false,"id":759867,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bradbury, Ken","contributorId":214587,"corporation":false,"usgs":false,"family":"Bradbury","given":"Ken","affiliations":[],"preferred":false,"id":759868,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Schoephoester, Peter R.","contributorId":214453,"corporation":false,"usgs":false,"family":"Schoephoester","given":"Peter","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":759869,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Mauel, Stephen","contributorId":214452,"corporation":false,"usgs":false,"family":"Mauel","given":"Stephen","affiliations":[],"preferred":false,"id":759870,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Leaf, Andrew T. 0000-0001-8784-4924 aleaf@usgs.gov","orcid":"https://orcid.org/0000-0001-8784-4924","contributorId":5156,"corporation":false,"usgs":true,"family":"Leaf","given":"Andrew","email":"aleaf@usgs.gov","middleInitial":"T.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true},{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":true,"id":759864,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Juckem, Paul","contributorId":214437,"corporation":false,"usgs":true,"family":"Juckem","given":"Paul","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":true,"id":759865,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Hunt, Randall","contributorId":214438,"corporation":false,"usgs":true,"family":"Hunt","given":"Randall","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":true,"id":759866,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70202212,"text":"70202212 - 2018 - Geomorphic evolution of a gravel‐bed river under sediment‐starved vs. sediment‐rich conditions: River response to the world's largest dam removal","interactions":[],"lastModifiedDate":"2019-02-14T12:21:52","indexId":"70202212","displayToPublicDate":"2018-12-01T12:21:45","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2318,"text":"Journal of Geophysical Research F: Earth Surface","active":true,"publicationSubtype":{"id":10}},"title":"Geomorphic evolution of a gravel‐bed river under sediment‐starved vs. sediment‐rich conditions: River response to the world's largest dam removal","docAbstract":"Understanding river response to sediment pulses is a fundamental problem in geomorphic process studies, with myriad implications for river management. However, because large sediment pulses are rare and usually unanticipated, they are seldom studied at field scale. We examine fluvial response to a massive (~20 Mt) sediment pulse released by the largest dam removal globally, on the Elwha River, Washington, United States, in an 11‐year before‐after/control‐impact study of channel morphology and grain size. We test the hypothesis that for a given flow magnitude, greater geomorphic change occurs under sediment‐rich conditions than under sediment‐starved conditions. Channel response to flow forcing was significantly different during the sediment‐pulse peak, 1–2 years after dam removal began, than earlier or later. During peak sediment supply our hypothesis was supported; major geomorphic change occurred under low flows and unit stream power ≤60 W/m2. However, by 4–6 years after dam removal began, rates of geomorphic change and sensitivity to stream power had decreased substantially such that our hypothesis was no longer unequivocally supported. These findings are consistent with a two‐phase conceptual model of dam‐removal response, involving a transport‐limited state followed by a more supply‐limited state. From comparisons with other dam removals and natural sediment pulses, we infer that the longevity of sediment‐pulse signals in gravel‐bed rivers depends upon gradient, river discharge, valley morphology, and sediment grain size. Stream power associated with substantial geomorphic change varies with sediment supply, such that assigning a general threshold stream power to gravel‐bed rivers may be untenable.
","language":"English","publisher":"AGU","doi":"10.1029/2018JF004703","usgsCitation":"East, A.E., Logan, J.B., Mastin, M.C., Ritchie, A.C., Bountry, J.A., Magirl, C.S., and Sankey, J.B., 2018, Geomorphic evolution of a gravel‐bed river under sediment‐starved vs. sediment‐rich conditions: River response to the world's largest dam removal: Journal of Geophysical Research F: Earth Surface, v. 123, no. 12, p. 3338-3369, https://doi.org/10.1029/2018JF004703.","productDescription":"32 p.","startPage":"3338","endPage":"3369","ipdsId":"IP-096606","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":468219,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2018jf004703","text":"Publisher Index Page"},{"id":361253,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Washington","otherGeospatial":"Elwha River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -123.667,\n 47.9167\n ],\n [\n -123.5,\n 47.9167\n ],\n [\n -123.5,\n 48.1667\n ],\n [\n -123.667,\n 48.1667\n ],\n [\n -123.667,\n 47.9167\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"123","issue":"12","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2018-12-28","publicationStatus":"PW","contributors":{"authors":[{"text":"East, Amy E. 0000-0002-9567-9460 aeast@usgs.gov","orcid":"https://orcid.org/0000-0002-9567-9460","contributorId":196364,"corporation":false,"usgs":true,"family":"East","given":"Amy","email":"aeast@usgs.gov","middleInitial":"E.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":757268,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Logan, Joshua B. 0000-0002-6191-4119 jlogan@usgs.gov","orcid":"https://orcid.org/0000-0002-6191-4119","contributorId":2335,"corporation":false,"usgs":true,"family":"Logan","given":"Joshua","email":"jlogan@usgs.gov","middleInitial":"B.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":757269,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mastin, Mark C. 0000-0003-4018-7861 mcmastin@usgs.gov","orcid":"https://orcid.org/0000-0003-4018-7861","contributorId":1652,"corporation":false,"usgs":true,"family":"Mastin","given":"Mark","email":"mcmastin@usgs.gov","middleInitial":"C.","affiliations":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"preferred":true,"id":757270,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ritchie, Andrew C. aritchie@usgs.gov","contributorId":4984,"corporation":false,"usgs":true,"family":"Ritchie","given":"Andrew","email":"aritchie@usgs.gov","middleInitial":"C.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":757271,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bountry, Jennifer A.","contributorId":30114,"corporation":false,"usgs":false,"family":"Bountry","given":"Jennifer","email":"","middleInitial":"A.","affiliations":[{"id":7183,"text":"U.S. Bureau of Reclamation","active":true,"usgs":false}],"preferred":false,"id":757272,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Magirl, Christopher S. 0000-0002-9922-6549 magirl@usgs.gov","orcid":"https://orcid.org/0000-0002-9922-6549","contributorId":1822,"corporation":false,"usgs":true,"family":"Magirl","given":"Christopher","email":"magirl@usgs.gov","middleInitial":"S.","affiliations":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true},{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"preferred":true,"id":757273,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Sankey, Joel B. 0000-0003-3150-4992 jsankey@usgs.gov","orcid":"https://orcid.org/0000-0003-3150-4992","contributorId":3935,"corporation":false,"usgs":true,"family":"Sankey","given":"Joel","email":"jsankey@usgs.gov","middleInitial":"B.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":757274,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70202764,"text":"70202764 - 2018 - Characterization of groundwater resources in the Chequamegon-Nicolet National Forest, Wisconsin: Washburn/Great Divide Unit","interactions":[],"lastModifiedDate":"2019-04-01T15:54:46","indexId":"70202764","displayToPublicDate":"2018-12-01T12:18:47","publicationYear":"2018","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":2,"text":"State or Local Government Series"},"seriesTitle":{"id":138,"text":"Technical Report","active":true,"publicationSubtype":{"id":2}},"seriesNumber":"004-4","title":"Characterization of groundwater resources in the Chequamegon-Nicolet National Forest, Wisconsin: Washburn/Great Divide Unit","docAbstract":"No abstract; report has an executive summary.","largerWorkTitle":"Wisconsin Geological and Natural History Survey Technical Report 004-4","language":"English","publisher":"Wisconsin Geological and Natural History Survey","usgsCitation":"Anna Fehling, Bradbury, K., Peter R. Schoephoester, Mauel, S., Leaf, A.T., Juckem, P., and Hunt, R., 2018, Characterization of groundwater resources in the Chequamegon-Nicolet National Forest, Wisconsin: Washburn/Great Divide Unit: Technical Report 004-4, vi, 60 p.","productDescription":"vi, 60 p.","numberOfPages":"68","ipdsId":"IP-081727","costCenters":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"links":[{"id":362625,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":362300,"type":{"id":15,"text":"Index Page"},"url":"https://wgnhs.uwex.edu/pubs/000961/"}],"country":"United States","state":"Wisconsin","county":"Taylor County","otherGeospatial":"Chequamegon-Nicolet National Forest","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -91.5,\n 45\n ],\n [\n -88.505859375,\n 45\n ],\n [\n -88.505859375,\n 46.81133924039194\n ],\n [\n -91.5,\n 46.81133924039194\n ],\n [\n -91.5,\n 45\n ]\n ]\n ]\n }\n }\n ]\n}","publishingServiceCenter":{"id":15,"text":"Madison PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Anna Fehling","contributorId":214439,"corporation":false,"usgs":false,"family":"Anna Fehling","affiliations":[{"id":27733,"text":"WGNHS","active":true,"usgs":false}],"preferred":false,"id":759874,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bradbury, Ken","contributorId":190742,"corporation":false,"usgs":false,"family":"Bradbury","given":"Ken","email":"","affiliations":[],"preferred":false,"id":759875,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Peter R. 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If national-scale deployment of CCS is needed in the United States, it may be possible to store only a small fraction of the captured CO2 in oil and natural gas reservoirs (including as a result of CO2 stored in conjunction with utilization for enhanced oil recovery). The vast majority of the captured CO2 would have to be stored in brine-filled reservoirs (Dahowski et al., 2005). Given a lack of long-term commercial-scale CCS projects, there is considerable uncertainty in the risks, dynamic capacity (maximum rate of injection), and their cost implications for geologic storage of CO2. Pressure buildup in the storage reservoir is expected to be a primary source of risk associated with CO2 storage, and could severely limit storage capacities. Most current cost estimates for commercial-scale deployment of CCS estimate CO2 storage costs under assumed availability of a theoretical geologic capacity to store tens, hundreds, or even thousands of gigatons of CO2, without including the costs of the pressure management that will be necessary to make that storage capacity practically available. These assumptions often lead to considerable underestimation of the costs of CO2 storage (Anderson, 2017). We consider the potential impacts on CO2 storage capacity and costs of producing formation waters (brines) to manage pressure. Given that pressure limitations could constrain injection rates per well to be far below the design capacity of a typical CO2 injection well, brine production could possibly increase the efficiency of CO2 injection. We analyze the net costs of pressure management by producing brines. Our results could have implications for how long and to what extent decision makers can expect to be able to deploy CCS before transitioning to other low- or zero-carbon energy technologies.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"U.S. Association for Energy Economics and International Association for Energy Economics North American Conference","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"U.S. Association for Energy Economics and International Association for Energy Economics North American Conference","conferenceLocation":"September 23–26, 2018","language":"English","publisher":"United States Association for Energy Economics / International Association for Energy Economics","usgsCitation":"Anderson, S.T., and Jahediesfanjani, H., 2018, Estimating the potential costs of brine production to expand the pressure-limited CO2 storage capacity of the Mount Simon Sandstone, in U.S. Association for Energy Economics and International Association for Energy Economics North American Conference, September 23–26, 2018, 2 p.","productDescription":"2 p.","ipdsId":"IP-098755","costCenters":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":361073,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"editors":[{"text":"Warwick, Peter D. 0000-0002-3152-7783","orcid":"https://orcid.org/0000-0002-3152-7783","contributorId":205928,"corporation":false,"usgs":true,"family":"Warwick","given":"Peter D.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":739640,"contributorType":{"id":2,"text":"Editors"},"rank":2}],"authors":[{"text":"Anderson, Steven T. 0000-0003-3481-3424 sanderson@usgs.gov","orcid":"https://orcid.org/0000-0003-3481-3424","contributorId":2532,"corporation":false,"usgs":true,"family":"Anderson","given":"Steven","email":"sanderson@usgs.gov","middleInitial":"T.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":739639,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jahediesfanjani, Hossein 0000-0001-6281-5166 hjahediesfanjani@usgs.gov","orcid":"https://orcid.org/0000-0001-6281-5166","contributorId":193397,"corporation":false,"usgs":false,"family":"Jahediesfanjani","given":"Hossein","email":"hjahediesfanjani@usgs.gov","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":false,"id":756786,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70201363,"text":"70201363 - 2018 - GNIS-LD: Serving and visualizing the Geographic Names Information System Gazetteer as linked data","interactions":[],"lastModifiedDate":"2018-12-11T11:58:07","indexId":"70201363","displayToPublicDate":"2018-12-01T11:46:46","publicationYear":"2018","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"GNIS-LD: Serving and visualizing the Geographic Names Information System Gazetteer as linked data","docAbstract":"In this dataset description paper we introduce the GNIS-LD, an authoritative and public domain Linked Dataset derived from the Geographic Names Information System (GNIS) which was developed by the U.S. Geological Survey (USGS) and the U.S. Board on Geographic Names. GNIS provides data about current, as well as historical, physical, and cultural geographic features in the United States. We describe the dataset, introduce an ontology for geographic feature types, and demonstrate the utility of recent linked geographic data contributions made in conjunction with the development of this resource. Co-reference resolution links to GeoNames.org and DBpedia are provided in the form of owl:sameAs relations. Finally, we point out how the adapted workflow is foundational for complex Digital Line Graph (DLG) data from the USGS National Map and how the GNIS-LD data can be integrated with DLG and other data sources such as sensor observations.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"The semantic web; 15th International Conference, ESWC 2018, Heraklion, Crete, Greece, June 3–7, 2018, Proceedings","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"15th International Conference, ESWC 2018","conferenceDate":"Heraklion, Crete, Greece","conferenceLocation":"June 3–7, 2018","language":"English","publisher":"Springer","doi":"10.1007/978-3-319-93417-4_34","usgsCitation":"Regalia, B., Janowicz, K., Mai, G., Varanka, D.E., and Usery, E., 2018, GNIS-LD: Serving and visualizing the Geographic Names Information System Gazetteer as linked data, in The semantic web; 15th International Conference, ESWC 2018, Heraklion, Crete, Greece, June 3–7, 2018, Proceedings, June 3–7, 2018, Heraklion, Crete, Greece, p. 528-540, https://doi.org/10.1007/978-3-319-93417-4_34.","productDescription":"13 p.","startPage":"528","endPage":"540","ipdsId":"IP-087285","costCenters":[{"id":423,"text":"National Geospatial Program","active":true,"usgs":true}],"links":[{"id":360158,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"publishingServiceCenter":{"id":15,"text":"Madison PSC"},"noUsgsAuthors":false,"publicationDate":"2018-06-03","publicationStatus":"PW","scienceBaseUri":"5c10a8e5e4b034bf6a7e4dd8","contributors":{"authors":[{"text":"Regalia, Blake","contributorId":211369,"corporation":false,"usgs":false,"family":"Regalia","given":"Blake","email":"","affiliations":[{"id":36524,"text":"University of California, Santa Barbara","active":true,"usgs":false}],"preferred":false,"id":753807,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Janowicz, Krzysztof","contributorId":149671,"corporation":false,"usgs":false,"family":"Janowicz","given":"Krzysztof","email":"","affiliations":[],"preferred":false,"id":753808,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mai, Gengchen","contributorId":211370,"corporation":false,"usgs":false,"family":"Mai","given":"Gengchen","email":"","affiliations":[],"preferred":false,"id":753810,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Varanka, Dalia E. 0000-0003-2857-9600 dvaranka@usgs.gov","orcid":"https://orcid.org/0000-0003-2857-9600","contributorId":1296,"corporation":false,"usgs":true,"family":"Varanka","given":"Dalia","email":"dvaranka@usgs.gov","middleInitial":"E.","affiliations":[{"id":5074,"text":"Center for Geospatial Information Science (CEGIS)","active":true,"usgs":true},{"id":404,"text":"NGTOC Rolla","active":true,"usgs":true}],"preferred":true,"id":753806,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Usery, E. Lynn 0000-0002-2766-2173","orcid":"https://orcid.org/0000-0002-2766-2173","contributorId":204684,"corporation":false,"usgs":true,"family":"Usery","given":"E. Lynn","affiliations":[{"id":423,"text":"National Geospatial Program","active":true,"usgs":true},{"id":5074,"text":"Center for Geospatial Information Science (CEGIS)","active":true,"usgs":true}],"preferred":true,"id":753809,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70227862,"text":"70227862 - 2018 - Population characteristics of Yellow Perch in a central Appalachia hydropower reservoir","interactions":[],"lastModifiedDate":"2022-02-01T17:52:18.154401","indexId":"70227862","displayToPublicDate":"2018-12-01T11:44:48","publicationYear":"2018","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":"Population characteristics of Yellow Perch in a central Appalachia hydropower reservoir","docAbstract":"Estimates of population characteristics of sport fishes inform fisheries management decisions and provide feedback on management strategies. Cheat Lake provides an unusual fishery in West Virginia because the hydropower reservoir supports a Yellow Perch Perca flavescens population. We estimated age structure, size structure, condition, total instantaneous mortality, growth, and summer diet for Cheat Lake Yellow Perch based on electrofishing collections in 2012. From 302 individuals, we observed a maximum age of 9 y. Maximum age, average size, and growth of females in the sample exceeded those of males. Cheat Lake Yellow Perch scored low on the relative weight index, but generally exhibited faster growth than other populations, even when compared by sex. Estimated annual survival was 0.63 (95% CI = 0.51–0.78), which is comparable to other exploited populations. These data support the presence of an ontogenetic diet shift from consumption of zooplankton to macroinvertebrates and fishes as Yellow Perch age. This study is the first evaluation we are aware of on Yellow Perch population characteristics in West Virginia, providing baseline data to enhance management decisions and direct future studies.
","language":"English","publisher":"U.S. Fish and Wildlife Service","doi":"10.3996/012018-JFWM-007","usgsCitation":"Hilling, C., Taylor, N., Welsh, S.A., and Smith, D., 2018, Population characteristics of Yellow Perch in a central Appalachia hydropower reservoir: Journal of Fish and Wildlife Management, v. 9, no. 2, p. 486-495, https://doi.org/10.3996/012018-JFWM-007.","productDescription":"10 p.","startPage":"486","endPage":"495","ipdsId":"IP-093428","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":468220,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3996/012018-jfwm-007","text":"Publisher Index Page"},{"id":395223,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"West Virginia","otherGeospatial":"Cheat Lake","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -79.89978790283203,\n 39.658041943725856\n ],\n [\n -79.83352661132812,\n 39.658041943725856\n ],\n [\n -79.83352661132812,\n 39.71907125195918\n ],\n [\n -79.89978790283203,\n 39.71907125195918\n ],\n [\n -79.89978790283203,\n 39.658041943725856\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"9","issue":"2","noUsgsAuthors":false,"publicationDate":"2018-08-17","publicationStatus":"PW","contributors":{"authors":[{"text":"Hilling, Corbin D.","contributorId":272977,"corporation":false,"usgs":false,"family":"Hilling","given":"Corbin D.","affiliations":[{"id":36967,"text":"Virginia Tech University","active":true,"usgs":false}],"preferred":false,"id":832432,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Taylor, Nate D.","contributorId":272978,"corporation":false,"usgs":false,"family":"Taylor","given":"Nate D.","affiliations":[{"id":56173,"text":"West Virginia DNR","active":true,"usgs":false}],"preferred":false,"id":832433,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Welsh, Stuart A. 0000-0003-0362-054X swelsh@usgs.gov","orcid":"https://orcid.org/0000-0003-0362-054X","contributorId":1483,"corporation":false,"usgs":true,"family":"Welsh","given":"Stuart","email":"swelsh@usgs.gov","middleInitial":"A.","affiliations":[{"id":205,"text":"Cooperative Research Units","active":false,"usgs":true}],"preferred":false,"id":832431,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Smith, Dustin M.","contributorId":272979,"corporation":false,"usgs":false,"family":"Smith","given":"Dustin M.","affiliations":[{"id":56173,"text":"West Virginia DNR","active":true,"usgs":false}],"preferred":false,"id":832434,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70201660,"text":"70201660 - 2018 - Remote sensing vegetation index methods to evaluate changes in greenness and evapotranspiration in riparian vegetation in response to the Minute 319 environmental pulse flow to Mexico","interactions":[],"lastModifiedDate":"2018-12-21T11:42:18","indexId":"70201660","displayToPublicDate":"2018-12-01T11:42:13","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5272,"text":"Proceedings of the International Association of Hydrological Sciences","active":true,"publicationSubtype":{"id":10}},"title":"Remote sensing vegetation index methods to evaluate changes in greenness and evapotranspiration in riparian vegetation in response to the Minute 319 environmental pulse flow to Mexico","docAbstract":"During the spring of 2014, 130 million m3 of water were released from the United States' Morelos Dam on the lower Colorado River to Mexico, allowing water to reach the Gulf of California for the first time in 13 years. Our study assessed the effects of water transfer or ecological environmental flows from one nation to another, using remote sensing. Spatial applications for water resource evaluation are important for binational, integrated water resources management and planning for the Colorado River, which includes seven basin states in the US plus two states in Mexico. Our study examined the effects of the historic binational experiment (the Minute 319 agreement) on vegetative response along the riparian corridor. We used 250 m Moderate Resolution Imaging Spectroradiometer (MODIS), Enhanced Vegetation Index (EVI) and 30 m Landsat 8 satellite imagery to track evapotranspiration (ET) and the normalized difference vegetation index (NDVI). Our analysis showed an overall increase in NDVI and evapotranspiration (ET) in the year following the 2014 pulse, which reversed a decline in those metrics since the last major flood in 2000. NDVI and ET levels decreased in 2015, but were still significantly higher (P < 0.001) than pre-pulse (2013) levels. Preliminary findings show that the decline in 2015 persisted into 2016 and 2017. We continue to analyse results for 2018 in comparison to short-term (2013–2018) and long-term (2000–2018) trends. Our results support the conclusion that these environmental flows from the US to Mexico via the Minute 319 “pulse” had a positive, but short-lived (1 year), impact on vegetation growth in the delta.
","language":"English","publisher":"International Association of Hydrological Sciences","doi":"10.5194/piahs-380-45-2018","usgsCitation":"Nagler, P.L., Jarchow, C., and Glenn, E., 2018, Remote sensing vegetation index methods to evaluate changes in greenness and evapotranspiration in riparian vegetation in response to the Minute 319 environmental pulse flow to Mexico: Proceedings of the International Association of Hydrological Sciences, v. 380, p. 45-54, https://doi.org/10.5194/piahs-380-45-2018.","productDescription":"10 p.","startPage":"45","endPage":"54","ipdsId":"IP-097590","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":468221,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.5194/piahs-380-45-2018","text":"Publisher Index Page"},{"id":360670,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Mexico","otherGeospatial":" Colorado River Delta","volume":"380","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2018-12-18","publicationStatus":"PW","scienceBaseUri":"5c1e0a30e4b0708288cb021b","contributors":{"authors":[{"text":"Nagler, Pamela L. 0000-0003-0674-103X pnagler@usgs.gov","orcid":"https://orcid.org/0000-0003-0674-103X","contributorId":1398,"corporation":false,"usgs":true,"family":"Nagler","given":"Pamela","email":"pnagler@usgs.gov","middleInitial":"L.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":754756,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jarchow, Christopher J. 0000-0002-0424-4104","orcid":"https://orcid.org/0000-0002-0424-4104","contributorId":211737,"corporation":false,"usgs":false,"family":"Jarchow","given":"Christopher J.","affiliations":[{"id":38314,"text":"USGS Southwest Biological Science Center, Flagstaff, AZ","active":true,"usgs":false}],"preferred":false,"id":754757,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Glenn, Edward P.","contributorId":56542,"corporation":false,"usgs":false,"family":"Glenn","given":"Edward P.","affiliations":[{"id":13060,"text":"Department of Soil, Water and Environmental Science, University of Arizona","active":true,"usgs":false}],"preferred":false,"id":754758,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70202495,"text":"70202495 - 2018 - The Introduced Argentine ant (Linepithema humile) on the California Channel Islands: Distribution and Patterns of Spread","interactions":[],"lastModifiedDate":"2019-03-06T11:14:22","indexId":"70202495","displayToPublicDate":"2018-12-01T11:14:10","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3746,"text":"Western North American Naturalist","onlineIssn":"1944-8341","printIssn":"1527-0904","active":true,"publicationSubtype":{"id":10}},"displayTitle":"The Introduced Argentine ant (Linepithema humile) on the California Channel Islands: Distribution and Patterns of Spread","title":"The Introduced Argentine ant (Linepithema humile) on the California Channel Islands: Distribution and Patterns of Spread","docAbstract":"The Argentine ant (Linepithema humile) is a widespread and abundant introduced species that disrupts ecosystems throughout its introduced range. This invader was inadvertently introduced to Santa Catalina, San Clemente, Santa Cruz, and San Nicolas Islands at various points during the past century but currently appears to be absent from the remaining Channel Islands. Multiple spatially disjunct infestations on each invaded island individually range in size from <500 m2 to >427 ha and encompass a variety of habitats, including large areas that are entirely dominated by native perennial vegetation. The existence of multiple infestations on individual islands suggests that inadvertent introduction by humans serves as an important within-island dispersal mechanism. Multiyear surveys of individual infestations on San Clemente Island and Santa Cruz Island reveal approximately radial patterns of expansion (as a result of colony budding) away from the edge of each infestation. Rates of spread by budding on San Clemente Island range from 10 m/year to 57 m/year and are comparable to those on mainland California. Given the documented effects of Argentine ant invasions on Santa Cruz Island, the continued spread of the Argentine ant on the Channel Islands represents a serious environmental concern. Eradication programs underway on San Clemente and Santa Cruz Islands will hopefully result in island-wide elimination of this detrimental invader.\n\nNative to southern South America (Wild 2004), the Argentine ant (Linepithema humile) has become an abundant and disruptive invader in many parts of its introduced range (Holway et al. 2002a). The Argentine ant was first found in California as early as 1905 (Smith 1936) and now widely occurs there, especially along the coast and in the Central Valley (Ward 1987, Holway 1995, Suarez et al. 1998). Areas invaded by L. humile in Califor- nia support few native ant species (Tremper 1976, Ward 1987, Human and Gordon 1996, Holway 1998a, 1998b, 2005, Suarez et al. 1998, Mitrovich et al. 2010, Hanna et al. 2015b). Additional impacts of this invasion include reduced prey availability for vertebrate insectivores, such as horned lizards (Suarez and Case 2002) and shrews (Laakkonen et al. 2001), and the disruption of seed dispersal (Bond and Slingsby 1984) and pollination mutualisms (Hanna et al. 2015b).","language":"English","publisher":"Monte L. Bean Life Science Museum","doi":"10.3398/064.078.0421","usgsCitation":"Boser, C.L., Merrell, K., Fisher, R.N., Naughton, I., and Holway, D.A., 2018, The Introduced Argentine ant (Linepithema humile) on the California Channel Islands: Distribution and Patterns of Spread: Western North American Naturalist, v. 78, no. 4, p. 820-828, https://doi.org/10.3398/064.078.0421.","productDescription":"9 p.","startPage":"820","endPage":"828","ipdsId":"IP-093802","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":361794,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"California Channel Islands","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -120.59417724609375,\n 33.84988869610126\n ],\n [\n -119.3280029296875,\n 33.84988869610126\n ],\n [\n -119.3280029296875,\n 34.15272698011818\n ],\n [\n -120.59417724609375,\n 34.15272698011818\n ],\n [\n -120.59417724609375,\n 33.84988869610126\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"78","issue":"4","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Boser, Christina L.","contributorId":127476,"corporation":false,"usgs":false,"family":"Boser","given":"Christina","email":"","middleInitial":"L.","affiliations":[{"id":7041,"text":"The Nature Conservancy","active":true,"usgs":false}],"preferred":false,"id":758836,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Merrell, Korie","contributorId":213968,"corporation":false,"usgs":false,"family":"Merrell","given":"Korie","affiliations":[{"id":38943,"text":"Department of Entomology, University of California at Riverside & Soil Ecology Research Group, San Diego State University, San Diego","active":true,"usgs":false}],"preferred":false,"id":758837,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fisher, Robert N. 0000-0002-2956-3240 rfisher@usgs.gov","orcid":"https://orcid.org/0000-0002-2956-3240","contributorId":1529,"corporation":false,"usgs":true,"family":"Fisher","given":"Robert","email":"rfisher@usgs.gov","middleInitial":"N.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":758835,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Naughton, Ida","contributorId":213969,"corporation":false,"usgs":false,"family":"Naughton","given":"Ida","email":"","affiliations":[{"id":38944,"text":"University of California at San Diego, La Jolla","active":true,"usgs":false}],"preferred":false,"id":758838,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Holway, David A","contributorId":213970,"corporation":false,"usgs":false,"family":"Holway","given":"David","email":"","middleInitial":"A","affiliations":[{"id":38944,"text":"University of California at San Diego, La Jolla","active":true,"usgs":false}],"preferred":false,"id":758839,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70201299,"text":"70201299 - 2018 - Biodiversity of amphibians and reptiles at the Camp Cady Wildlife Area, Mojave Desert, California and comparisons with other desert locations","interactions":[],"lastModifiedDate":"2018-12-11T11:12:48","indexId":"70201299","displayToPublicDate":"2018-12-01T11:12:43","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1153,"text":"California Fish and Game","active":true,"publicationSubtype":{"id":10}},"title":"Biodiversity of amphibians and reptiles at the Camp Cady Wildlife Area, Mojave Desert, California and comparisons with other desert locations","docAbstract":"We examined the biodiversity of amphibian and reptile species living in and near constructed ponds in the riparian area at the Camp Cady Wildlife Area (CCWA) in the Mojave Desert of San Bernardino County, California, based on field work from 1998-1999, 2016-2017, review of the literature, and searches for museum specimens using VertNet.org. A total of 11 species (201 captures), including two frogs and toads (one non-native frog), one turtle, three snakes, and five lizards were captured at terrestrial drift fences with pitfall traps encircling two ponds (0.5 hectares total) on the property in 1999. Four additional species (one frog, one lizard, and two snakes) were previously reported in 1978 from a ranch 1.6 km southwest from CCWA for a total of 15 species in the local area. The southwestern pond turtle (Actinemys pallida), was commonly observed at CCWA from 1998 to 1999 and documented as a breeding population. However, the species was extirpated at CCWA sometime after 2014 when the last individuals were photographed, and none have been detected since then despite significant efforts to do so. Biodiversity of amphibians and reptiles at CCWA is relatively low compared with sites elsewhere in the Mojave Desert with more elevational diversity. The 14 native species documented at CCWA accounts for approximately 21% of the native reptile and amphibian species reported by Stewart (1994) for the entire Mojave Desert, including peripheral species. Our smaller sample likely represents a group of easily detected species and is biased toward those found in or near water, especially amphibians. However, the relative proportion of amphibians vs. reptiles that inhabited CCWA in the last 40 years is not significantly different from the recently compiled proportions at five military installations in the California deserts. The herpetofauna inhabiting CCWA is notable for including riparian obligates like the western toad (Anaxyrus boreas), Northern Baja California treefrog (Pseudacris h. hypochondriaca), and A. pallida that are otherwise absent from large portions of the Mojave Desert. Other species are typical of those that are expected in the low-elevation creosote scrubdominated ecosystem in the area.
","language":"English","publisher":"California Department of Fish and Wildllife","usgsCitation":"Cummings, K.L., Puffer, S., Holmen, J.B., Wallace, J.K., Lovich, J.E., Meyer-Wilkins, K., Petersen, C., and Lovich, R.E., 2018, Biodiversity of amphibians and reptiles at the Camp Cady Wildlife Area, Mojave Desert, California and comparisons with other desert locations: California Fish and Game, v. 104, no. 3, p. 129-147.","productDescription":"19 p.","startPage":"129","endPage":"147","ipdsId":"IP-095405","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":360153,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":360115,"type":{"id":15,"text":"Index Page"},"url":"https://nrm.dfg.ca.gov/Documents/ContextDocs.aspx?cat=OCEO-CFGJournal"}],"country":"United States","state":"California","otherGeospatial":"Mojave Desert","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -118.23486328125,\n 32.690243035492266\n ],\n [\n -114.49951171875,\n 32.690243035492266\n ],\n [\n -114.49951171875,\n 36.230981283477924\n ],\n [\n -118.23486328125,\n 36.230981283477924\n ],\n [\n -118.23486328125,\n 32.690243035492266\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"104","issue":"3","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5c10a8e5e4b034bf6a7e4ddd","contributors":{"authors":[{"text":"Cummings, Kristy L. 0000-0002-8316-5059","orcid":"https://orcid.org/0000-0002-8316-5059","contributorId":202061,"corporation":false,"usgs":true,"family":"Cummings","given":"Kristy","email":"","middleInitial":"L.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":753528,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Puffer, Shellie R. 0000-0003-4957-0963","orcid":"https://orcid.org/0000-0003-4957-0963","contributorId":193099,"corporation":false,"usgs":true,"family":"Puffer","given":"Shellie R.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":753529,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Holmen, Jenny B.","contributorId":211276,"corporation":false,"usgs":false,"family":"Holmen","given":"Jenny","email":"","middleInitial":"B.","affiliations":[{"id":38215,"text":"7400 Falls Creek Main, Durango, CO 81301, USA","active":true,"usgs":false}],"preferred":false,"id":753534,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wallace, Jason K.","contributorId":211277,"corporation":false,"usgs":false,"family":"Wallace","given":"Jason","email":"","middleInitial":"K.","affiliations":[{"id":38216,"text":"California Desert Studies Consortium, Department of Biological Science, California State University, Fullerton, POB 490, Baker, CA 92309, USA","active":true,"usgs":false}],"preferred":false,"id":753535,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Lovich, Jeffrey E. 0000-0002-7789-2831 jeffrey_lovich@usgs.gov","orcid":"https://orcid.org/0000-0002-7789-2831","contributorId":458,"corporation":false,"usgs":true,"family":"Lovich","given":"Jeffrey","email":"jeffrey_lovich@usgs.gov","middleInitial":"E.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true},{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":753530,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Meyer-Wilkins, Kathie","contributorId":8742,"corporation":false,"usgs":false,"family":"Meyer-Wilkins","given":"Kathie","affiliations":[],"preferred":false,"id":753531,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Petersen, Chris","contributorId":211274,"corporation":false,"usgs":false,"family":"Petersen","given":"Chris","email":"","affiliations":[{"id":38213,"text":"Naval Facilities Engineering Command Atlantic, 6506 Hampton Blvd., Norfolk, VA 23508 USA (CP)","active":true,"usgs":false}],"preferred":false,"id":753532,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Lovich, Robert E.","contributorId":211275,"corporation":false,"usgs":false,"family":"Lovich","given":"Robert","email":"","middleInitial":"E.","affiliations":[{"id":38214,"text":"Naval Facilities Engineering Command Southwest, 1220 Pacific Highway, San Diego, CA 92132, USA","active":true,"usgs":false}],"preferred":false,"id":753533,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70206809,"text":"70206809 - 2018 - Early life history","interactions":[],"lastModifiedDate":"2019-11-22T11:12:27","indexId":"70206809","displayToPublicDate":"2018-12-01T11:12:01","publicationYear":"2018","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"chapter":"4","title":"Early life history","docAbstract":"No abstract available.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Atlantic Cod: A bio-ecology","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Wiley","isbn":"978-1-119-46067-1","usgsCitation":"Grabowski, T.B., and Grabowski, J., 2018, Early life history, chap. 4 of Atlantic Cod: A bio-ecology, p. 133-168.","productDescription":"35 p.","startPage":"133","endPage":"168","ipdsId":"IP-089034","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":369467,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":369466,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.wiley.com/en-us/Atlantic+Cod%3A+A+Bio+Ecology-p-9781119460671"}],"publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Grabowski, Timothy B. 0000-0001-9763-8948 tgrabowski@usgs.gov","orcid":"https://orcid.org/0000-0001-9763-8948","contributorId":4178,"corporation":false,"usgs":true,"family":"Grabowski","given":"Timothy","email":"tgrabowski@usgs.gov","middleInitial":"B.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":775834,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Grabowski, Jonathan","contributorId":220823,"corporation":false,"usgs":false,"family":"Grabowski","given":"Jonathan","email":"","affiliations":[{"id":40280,"text":"Department of Marine and Environmental Science, Northeastern University","active":true,"usgs":false}],"preferred":false,"id":775835,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70201572,"text":"70201572 - 2018 - The National Elevation Dataset","interactions":[],"lastModifiedDate":"2018-12-20T11:11:14","indexId":"70201572","displayToPublicDate":"2018-12-01T11:11:10","publicationYear":"2018","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"The National Elevation Dataset","docAbstract":"The National Elevation Dataset (NED) is a primary elevation data product that has been produced and distributed by the U.S. Geological Survey (USGS). Since its inception, the USGS has compiled and published topographic information in many forms, and the NED is a significant development in this long line of products that describe the land surface. The NED provides seamless raster elevation data of the conterminous United States (CONUS), Alaska, Hawaii, U.S. island territories, Mexico, and Canada. The NED is derived from diverse source datasets that are processed to a specification with consistent resolutions, coordinate system, elevation units, and horizontal and vertical datums. The NED was developed as the logical result of the maturation of the long-standing USGS elevation program, which for many years concentrated on production of quadrangle-based digital elevation models (DEM). The NED contributes to the elevation layer of The National Map, and it provides basic elevation information for earth science studies and mapping applications in the U.S. and most of North America.\n For over 15 years (1999–2014), the NED served as the flagship elevation product of the USGS. In 2015, the 3D Elevation Program (3DEP) was initiated. When the 3DEP initiative became operational, the name “National Elevation Dataset” (and the abbreviation “NED”) were retired as the USGS elevation activities and data were rebranded under the 3DEP banner. However, elevation data produced and distributed as part of the NED are still widely used (and distributed by other entities), so there is a continuing need for detailed documentation, including how it was produced, its accuracy, and how it is used. This chapter directly addresses that need for detailed information about the NED. The most recent detailed description of the NED appeared in the 2nd edition of the DEM Users Manual (2007), and because NED production continued through 2014, the details reported herein provide valuable information for data accessed by the user community from 2007 through 2014. The NED has been widely used in operational applications and research studies and is extensively cited in reports on those activities, so it is important for the user community to have access to information about the NED to better judge how its qualities and characteristics might affect results derived from its use as the elevation data source. Additionally, the NED seamless layers serve as one of the input data sources for the current 3DEP elevation production system, so, as with any input data source, an understanding of the data characteristics is critical.","language":"English","publisher":"American Society for Photogrammetry and Remote Sensing","usgsCitation":"Gesch, D.B., Evans, G.A., Oimoen, M., and Arundel, S., 2018, The National Elevation Dataset, p. 83-110.","productDescription":"28 p.","startPage":"83","endPage":"110","ipdsId":"IP-051285","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":360618,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":360617,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.asprs.org/dem"}],"publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5c1cb860e4b0708288c8382d","contributors":{"authors":[{"text":"Gesch, Dean B. 0000-0002-8992-4933 gesch@usgs.gov","orcid":"https://orcid.org/0000-0002-8992-4933","contributorId":2956,"corporation":false,"usgs":true,"family":"Gesch","given":"Dean","email":"gesch@usgs.gov","middleInitial":"B.","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true},{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true},{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":754462,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Evans, Gayla A. 0000-0001-5072-4232 gevans@usgs.gov","orcid":"https://orcid.org/0000-0001-5072-4232","contributorId":3125,"corporation":false,"usgs":true,"family":"Evans","given":"Gayla","email":"gevans@usgs.gov","middleInitial":"A.","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true},{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":true,"id":754463,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Oimoen, Michael J. 0000-0003-3611-6227","orcid":"https://orcid.org/0000-0003-3611-6227","contributorId":211599,"corporation":false,"usgs":true,"family":"Oimoen","given":"Michael J.","affiliations":[{"id":38270,"text":"SGT Inc., contractor to USGS EROS","active":true,"usgs":false}],"preferred":false,"id":754464,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Arundel, Samantha T. 0000-0002-4863-0138 sarundel@usgs.gov","orcid":"https://orcid.org/0000-0002-4863-0138","contributorId":192598,"corporation":false,"usgs":true,"family":"Arundel","given":"Samantha","email":"sarundel@usgs.gov","middleInitial":"T.","affiliations":[{"id":404,"text":"NGTOC Rolla","active":true,"usgs":true},{"id":5074,"text":"Center for Geospatial Information Science (CEGIS)","active":true,"usgs":true}],"preferred":true,"id":754465,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70201999,"text":"70201999 - 2018 - Executive summary. In Second State of the Carbon Cycle Report (SOCCR2): A Sustained Assessment Report","interactions":[],"lastModifiedDate":"2019-02-05T11:08:01","indexId":"70201999","displayToPublicDate":"2018-12-01T11:07:41","publicationYear":"2018","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":1,"text":"Federal Government Series"},"title":"Executive summary. In Second State of the Carbon Cycle Report (SOCCR2): A Sustained Assessment Report","docAbstract":"Central to life on Earth, carbon is essential to the molecular makeup of all living things and plays a key role in regulating global climate. To understand carbon’s role in these processes, researchers measure and evaluate carbon stocks and fluxes. A stock is the quantity of carbon contained in a pool or reservoir in the Earth system (e.g., carbon in forest trees), and a flux is the direction and rate of carbon’s transfer between pools (e.g., the movement of carbon from the atmosphere into forest trees during photosynthesis). This document, the Second State of the Carbon Cycle Report (SOCCR2), examines the patterns of carbon stocks and fluxes—collectively called the “carbon cycle.” Emphasis is given to these patterns in specific sectors (e.g., agriculture and energy) and ecosystems (e.g., forests and coastal waters) and to the response of the carbon cycle to human activity. The purpose of SOCCR2 is to assess the current state of the North American carbon cycle and to present recent advances in understanding the factors that influence it. Concentrating on North America—Canada, the United States, and Mexico—the report describes carbon cycling for air, land, inland waters (streams, rivers, lakes, and reservoirs), and coastal waters (see Figure ES.1, p. 23).
The questions framing the publication A U.S. Carbon Cycle Science Plan (Michalak et al., 2011) inspired development of three slightly modified questions that guide SOCCR2’s content and focus on North America in a global context:
SOCCR2 synthesizes the most recent understanding of carbon cycling in North America, assessing new carbon cycle findings and information, the state of knowledge regarding core methods used to study the carbon cycle, and future research needed to best inform carbon management and policy options. Focusing on scientific developments in the decade since the First State of the Carbon Cycle Report (SOCCR1; CCSP 2007), SOCCR2 summarizes the past, current, and projected state of carbon sources, sinks, and natural processes, as well as contributions by human activities. In addition to CO2 and CH4, the report sometimes discusses nitrous oxide (N2O), a GHG associated with activities and processes that affect fluxes of carbon gases.1 SOCCR2 also describes improvements in analysis tools; developments in decision support; and new insights into ecosystem carbon cycling, human causes of changes in the carbon cycle, and social science perspectives on carbon. Since publication of SOCCR1, coordinated research from agencies in the three North American countries has enabled innovative observational, analytical, and modeling capabilities to further advance understanding of the North American carbon cycle (see Appendix D: Carbon Measurement Approaches and Accounting Frameworks, p. 834). Some of the report’s main conclusions, based on the Key Findings of each chapter, are highlighted in Box ES.1, Main Findings of SOCCR2, p. 24.
","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"Second State of the Carbon Cycle Report (SOCCR2): A Sustained Assessment Report","largerWorkSubtype":{"id":1,"text":"Federal Government Series"},"language":"English","publisher":"U.S. Global Change Research Program","doi":"10.7930/SOCCR2.2018.ES","usgsCitation":"Birdsey, R., Mayes, M.A., Romero-Lankao, P., Najjar, R., Reed, S.C., Cavallaro, N., Shrestha, G., Hayes, D.J., Lorenzoni, L., Marsh, A., Tedesco, K., Wirth, T., and Zhu, Z., 2018, Executive summary. In Second State of the Carbon Cycle Report (SOCCR2): A Sustained Assessment Report, 20 p., https://doi.org/10.7930/SOCCR2.2018.ES.","productDescription":"20 p.","startPage":"21","endPage":"40","ipdsId":"IP-088979","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":361013,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"editors":[{"text":"Cavallaro, Nancy","contributorId":212784,"corporation":false,"usgs":false,"family":"Cavallaro","given":"Nancy","email":"","affiliations":[{"id":38681,"text":"USDA National Institute of Food and Agriculture","active":true,"usgs":false}],"preferred":false,"id":756620,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Shrestha, 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Pollock’s robust design combines methods for open populations with methods for closed populations. Open population features of the robust design allow for estimation of rates of death or permanent emigration, and closed population features enhance estimation of population sizes. We describe a similar design, but for use with removal data. Data collection occurs on secondary sampling occasions clustered within primary sampling periods. Primary sampling periods are intervals of brief enough duration that it can be safely assumed that the population is unchanged by births, deaths, immigration or emigration during them; all population change and movement occurs between primary sampling periods. Our model provides a basis for inference about population size, changes in population size, and movement rates among sample locations between primary sampling periods. Movement rates are modeled as functions of distance and time. Capture probabilities are modeled as a function of effort. We apply the model to data obtained in attempting to eradicate an introduced population of veiled chameleons (Chamaeleo calyptratus) on the island of Maui in Hawaii.
","language":"English","publisher":"Springer","doi":"10.1007/s13253-018-0335-8","usgsCitation":"Link, W.A., Converse, S.J., Yackel Adams, A.A., and Hostetter, N.J., 2018, Analysis of population change and movement using robust design removal data: Journal of Agricultural, Biological, and Environmental Statistics, v. 23, no. 4, p. 463-477, https://doi.org/10.1007/s13253-018-0335-8.","productDescription":"15 p.","startPage":"463","endPage":"477","ipdsId":"IP-087462","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":437666,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7Z31X54","text":"USGS data release","linkHelpText":"Removal count data of Veiled Chameleons on Maui, 2002-2012"},{"id":361226,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"23","issue":"4","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationDate":"2018-09-27","publicationStatus":"PW","contributors":{"authors":[{"text":"Link, William A. 0000-0002-9913-0256 wlink@usgs.gov","orcid":"https://orcid.org/0000-0002-9913-0256","contributorId":146920,"corporation":false,"usgs":true,"family":"Link","given":"William","email":"wlink@usgs.gov","middleInitial":"A.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":757150,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Converse, Sarah J. 0000-0002-3719-5441 sconverse@usgs.gov","orcid":"https://orcid.org/0000-0002-3719-5441","contributorId":173772,"corporation":false,"usgs":true,"family":"Converse","given":"Sarah","email":"sconverse@usgs.gov","middleInitial":"J.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":757151,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Yackel Adams, Amy A. 0000-0002-7044-8447 yackela@usgs.gov","orcid":"https://orcid.org/0000-0002-7044-8447","contributorId":3116,"corporation":false,"usgs":true,"family":"Yackel Adams","given":"Amy","email":"yackela@usgs.gov","middleInitial":"A.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":757152,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hostetter, Nathan J. 0000-0001-6075-2157 nhostetter@usgs.gov","orcid":"https://orcid.org/0000-0001-6075-2157","contributorId":198843,"corporation":false,"usgs":true,"family":"Hostetter","given":"Nathan","email":"nhostetter@usgs.gov","middleInitial":"J.","affiliations":[],"preferred":true,"id":757153,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70201477,"text":"70201477 - 2018 - Hydrogeochemical controls on brook trout spawning habitats in a coastal stream","interactions":[],"lastModifiedDate":"2018-12-14T10:48:49","indexId":"70201477","displayToPublicDate":"2018-12-01T10:48:42","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1928,"text":"Hydrology and Earth System Sciences","active":true,"publicationSubtype":{"id":10}},"title":"Hydrogeochemical controls on brook trout spawning habitats in a coastal stream","docAbstract":"Brook trout (Salvelinus fontinalis) spawn in fall and overwintering egg development can benefit from stable, relatively warm temperatures in groundwater-seepage zones. However, eggs are also sensitive to dissolved oxygen concentration, which may be reduced in discharging groundwater (i.e., seepage). We investigated a 2 km reach of the coastal Quashnet River in Cape Cod, Massachusetts, USA, to relate preferred fish spawning habitats to geology, geomorphology, and discharging groundwater geochemistry. Thermal reconnaissance methods were used to locate zones of rapid groundwater discharge, which were predominantly found along the central channel of a wider stream valley section. Pore-water chemistry and temporal vertical groundwater flux were measured at a subset of these zones during field campaigns over several seasons. Seepage zones in open-valley sub-reaches generally showed suboxic conditions and higher dissolved solutes compared to the underlying glacial outwash aquifer. These discharge zones were cross-referenced with preferred brook trout redds and evaluated during 10 years of observation, all of which were associated with discrete alcove features in steep cutbanks, where stream meander bends intersect the glacial valley walls. Seepage in these repeat spawning zones was generally stronger and more variable than in open-valley sites, with higher dissolved oxygen and reduced solute concentrations. The combined evidence indicates that regional groundwater discharge along the broader valley bottom is predominantly suboxic due to the influence of near-stream organic deposits; trout show no obvious preference for these zones when spawning. However, the meander bends that cut into sandy deposits near the valley walls generate strong oxic seepage zones that are utilized routinely for redd construction and the overwintering of trout eggs. Stable water isotopic data support the conclusion that repeat spawning zones are located directly on preferential discharges of more localized groundwater. In similar coastal systems with extensive valley peat deposits, the specific use of groundwater-discharge points by brook trout may be limited to morphologies such as cutbanks, where groundwater flow paths do not encounter substantial buried organic material and remain oxygen-rich.
","language":"English","publisher":"Copernicus Publications","doi":"10.5194/hess-22-6383-2018","usgsCitation":"Briggs, M.A., Harvey, J.W., Hurley, S., Rosenberry, D.O., McCobb, T., Werkema, D.D., and Lane, J., 2018, Hydrogeochemical controls on brook trout spawning habitats in a coastal stream: Hydrology and Earth System Sciences, v. 22, p. 6383-6398, https://doi.org/10.5194/hess-22-6383-2018.","productDescription":"16 p.","startPage":"6383","endPage":"6398","ipdsId":"IP-090873","costCenters":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"links":[{"id":468222,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.5194/hess-22-6383-2018","text":"Publisher Index Page"},{"id":360296,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"22","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2018-12-10","publicationStatus":"PW","scienceBaseUri":"5c14cfb7e4b006c4f8545d34","contributors":{"authors":[{"text":"Briggs, Martin A. 0000-0003-3206-4132 mbriggs@usgs.gov","orcid":"https://orcid.org/0000-0003-3206-4132","contributorId":4114,"corporation":false,"usgs":true,"family":"Briggs","given":"Martin","email":"mbriggs@usgs.gov","middleInitial":"A.","affiliations":[{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true},{"id":493,"text":"Office of Ground Water","active":true,"usgs":true},{"id":486,"text":"OGW Branch of Geophysics","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":754264,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Harvey, Judson W. 0000-0002-2654-9873 jwharvey@usgs.gov","orcid":"https://orcid.org/0000-0002-2654-9873","contributorId":1796,"corporation":false,"usgs":true,"family":"Harvey","given":"Judson","email":"jwharvey@usgs.gov","middleInitial":"W.","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":754265,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hurley, Stephen T.","contributorId":108214,"corporation":false,"usgs":true,"family":"Hurley","given":"Stephen T.","affiliations":[],"preferred":false,"id":754266,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Rosenberry, Donald O. 0000-0003-0681-5641 rosenber@usgs.gov","orcid":"https://orcid.org/0000-0003-0681-5641","contributorId":1312,"corporation":false,"usgs":true,"family":"Rosenberry","given":"Donald","email":"rosenber@usgs.gov","middleInitial":"O.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":754267,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"McCobb, Timothy D. 0000-0003-1533-847X","orcid":"https://orcid.org/0000-0003-1533-847X","contributorId":203069,"corporation":false,"usgs":true,"family":"McCobb","given":"Timothy D.","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":754268,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Werkema, Dale D.","contributorId":190401,"corporation":false,"usgs":false,"family":"Werkema","given":"Dale","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":754269,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Lane, John W. 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Observations of downhole core samples suggest that these natural fractures are in fact veins filled with minerals such as calcite (Mighani et al., 2016). We study this interaction during the approach of a hydraulic fracture to a smooth saw-cut fracture under triaxial stress conditions. The specimen is Solnhofen limestone, a fine-grained (<5 µm grain), low permeability (<10 nD) carbonate. The differential stress (1-20 MPa) and inclination of the fault which determines the approach angle, θ (30, 60°) are the experimental variables. We conduct the experiments on both bare surface and gouge-filled fault surfaces. The gouge is a 1 mm thick crushed powder of Solnhofen limestone with <106 µm grain size. During the hydraulic fracture, acoustic emissions (AE), inferred slip velocity, axial stress and pore pressure are recorded at a 5 MHz sampling rate.\nThe hydraulic fracture was able to cross the bare surface fault with small induced fault slip. The fault gouge increased the coefficient of friction significantly from 0.12 (bare, polished surface) to > 0.44 (gouged layer). However, the gouge-filled fault arrested the hydraulic fracture and generated a slip event with different characteristics: 1- The stress drop was larger while the generated AE signals had lower magnitude. 2- Slip velocity recorded by the vibrometer was of the same order of magnitude for the bare and gouge-filled faults, but the slip duration increased from 29 µsec for bare surface to ~2.5 msec (~90 times longer rise time) for the gouge-filled fault. The experiments suggest that the gouge-filled fault can accommodate much larger displacement while promoting slow slip on the fault which is harder to detect as AE signals. The observed long duration slip events are similar to the field observations of the long period and long duration (LPLD) events during the stimulation of clay-rich shale formations (Zoback et al., 2012). While the intrinsic low strength, high ductility, and unfavorably oriented natural fractures in shale formations are expected to reduce the occurrence of induced seismicity, our experiments suggest an additional mechanism for the observed LPLD events, i.e. the role of fault gouge. They also suggest that the microseismic detection techniques may under-predict the stimulated volume as the activation of natural gouge-filled fractures may proceed aseismically.","conferenceTitle":"52nd US Rock Mechanics/Geomechanics Symposium","conferenceDate":"June 17-20, 2018","conferenceLocation":"Seattle, WA","language":"English","publisher":"American Rock Mechanics Society (ARMA)","usgsCitation":"Mighani, S., Lockner, D.A., Kilgore, B.D., and Evans, B., 2018, Role of fault gouge during Interaction between hydraulic fracture and a preexisting fracture, 52nd US Rock Mechanics/Geomechanics Symposium, Seattle, WA, June 17-20, 2018, 11 p.","productDescription":"11 p.","ipdsId":"IP-095559","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":362379,"rank":1,"type":{"id":1,"text":"Abstract"},"url":"https://www.onepetro.org/conference-paper/ARMA-2018-901"},{"id":362380,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Mighani, S. 0000-0003-3579-4042","orcid":"https://orcid.org/0000-0003-3579-4042","contributorId":205991,"corporation":false,"usgs":false,"family":"Mighani","given":"S.","affiliations":[{"id":37204,"text":"PhD candidate at M.I.T. Cambridge MA","active":true,"usgs":false}],"preferred":false,"id":739114,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lockner, David A. 0000-0001-8630-6833 dlockner@usgs.gov","orcid":"https://orcid.org/0000-0001-8630-6833","contributorId":567,"corporation":false,"usgs":true,"family":"Lockner","given":"David","email":"dlockner@usgs.gov","middleInitial":"A.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true},{"id":234,"text":"Earthquake Hazards Program","active":true,"usgs":true}],"preferred":true,"id":739113,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kilgore, Brian D. 0000-0003-0530-7979 bkilgore@usgs.gov","orcid":"https://orcid.org/0000-0003-0530-7979","contributorId":3887,"corporation":false,"usgs":true,"family":"Kilgore","given":"Brian","email":"bkilgore@usgs.gov","middleInitial":"D.","affiliations":[{"id":234,"text":"Earthquake Hazards Program","active":true,"usgs":true},{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":739115,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Evans, Brian 0000-0003-0324-0969","orcid":"https://orcid.org/0000-0003-0324-0969","contributorId":205993,"corporation":false,"usgs":false,"family":"Evans","given":"Brian","email":"","affiliations":[{"id":37206,"text":"Professor, Massachusetts Institute of Technology: Cambridge, MA","active":true,"usgs":false}],"preferred":false,"id":739116,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70197409,"text":"70197409 - 2018 - Quantifying post-wildfire hillslope erosion with lidar","interactions":[],"lastModifiedDate":"2019-03-27T10:34:21","indexId":"70197409","displayToPublicDate":"2018-12-01T10:34:13","publicationYear":"2018","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Quantifying post-wildfire hillslope erosion with lidar","docAbstract":"Following a wildfire, flooding and debris- flow hazards are common and pose a threat to human life and infrastructure in steep burned terrain. Wildfire enhances both water runoff and soil erosion, which ultimately shape the debris flow potential. The erosional processes that route excess sediment from hillslopes to debris-flow channels in recently burned areas, however, are poorly constrained. In this study we examined erosional processes through repeat terrestrial lidar surveys in a steep mountainous watershed that experienced a high-severity burn in the 2016 San Gabriel complex fire. Three lidar surveys were conducted during a wet winter (2016-2017) on a hillslope plot. We used geomorphometric techniques to better contextualize erosion observations in areas with rills and between rills (interrill areas). A challenge was effectively differentiating DEM pixels that were in the constantly evolving rill network as well as those outside the rill network. By applying a series of DEM filtering processes we found that it was possible to efficiently identify the small-scale rill networks. Our results challenge previously held beliefs about sediment erosion on burned hillslopes, suggesting that prior estimates made without access to high resolution topography likely underestimated the role of interrill erosion.","language":"English","publisher":"Semantic Scholar","usgsCitation":"Rengers, F.K., and McGuire, L., 2018, Quantifying post-wildfire hillslope erosion with lidar, 4 p.","productDescription":"4 p.","ipdsId":"IP-098060","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":362378,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":362377,"rank":1,"type":{"id":11,"text":"Document"},"url":"https://pdfs.semanticscholar.org/4dbb/e7ef67b9ccd69839d3a394cf709e1e37297d.pdf?_ga=2.44062758.389057794.1553700702-768918432.1553700702"}],"publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Rengers, Francis K. 0000-0002-1825-0943 frengers@usgs.gov","orcid":"https://orcid.org/0000-0002-1825-0943","contributorId":150422,"corporation":false,"usgs":true,"family":"Rengers","given":"Francis","email":"frengers@usgs.gov","middleInitial":"K.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":760152,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McGuire, Luke lmcguire@usgs.gov","contributorId":167018,"corporation":false,"usgs":true,"family":"McGuire","given":"Luke","email":"lmcguire@usgs.gov","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":false,"id":760153,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70201500,"text":"70201500 - 2018 - Natural resource condition assessment: Olympic National Park","interactions":[],"lastModifiedDate":"2018-12-17T10:28:27","indexId":"70201500","displayToPublicDate":"2018-12-01T10:28:19","publicationYear":"2018","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":1,"text":"Federal Government Series"},"seriesTitle":{"id":53,"text":"Natural Resource Report","active":false,"publicationSubtype":{"id":1}},"seriesNumber":"NPS/OLYM/NRR—2018/1826","title":"Natural resource condition assessment: Olympic National Park","docAbstract":"The Natural Resource Assessment Program aims to document condition and trends of selected park resources while identifying emerging issues and information needs. This information is intended to serve as a platform for natural resource managers to use in developing future resource stewardship priorities and planning.
Olympic National Park (OLYM) on Washington’s Olympic Peninsula protects remarkable examples of several Pacific Northwestern ecosystems, including the glacier-capped Olympic Mountains, oldgrowth temperate rainforests, pristine river systems, and wild Pacific coastline and islands. The park provides habitat for numerous plants and animals, including at least 16 animal and eight plant taxa endemic to the Olympic Peninsula. The park’s lakes and rivers support over 70 stocks of Pacific salmonids and 29 native freshwater fish species. The rocky intertidal community is one of the most complex and diverse shorelines in the United States.
Although we conducted in-depth assessments on a limited number of resources, the general condition of several other physical and biological components of OLYM ecosystems is described in Chapter 2, along with an overview of park history and ecology. In Chapter 3, we describe how we chose our focal resources and measures, as well as our protocol for conducting the assessment. In Chapter 4, we provide a detailed assessment of each resource, with a summary of condition and trends. In Chapter 5, we further interpret and discuss the implications of each focal resource status, highlighting future areas for monitoring and research. We summarize the general findings from our assessments below.
","language":"English","publisher":"National Park Service","usgsCitation":"2018, Natural resource condition assessment: Olympic National Park: Natural Resource Report NPS/OLYM/NRR—2018/1826, xxxiv, 472 p.","productDescription":"xxxiv, 472 p.","ipdsId":"IP-086434","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":360359,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":360341,"type":{"id":15,"text":"Index Page"},"url":"https://irma.nps.gov/DataStore/Reference/Profile/2257697"}],"country":"United States","state":"Washington","otherGeospatial":"Olympic National Park","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -124.486083984375,\n 47.27922900257082\n ],\n [\n -122.8546142578125,\n 47.27922900257082\n ],\n [\n -122.8546142578125,\n 48.23565029755308\n ],\n [\n -124.486083984375,\n 48.23565029755308\n ],\n [\n -124.486083984375,\n 47.27922900257082\n ]\n ]\n ]\n }\n }\n ]\n}","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5c18c425e4b006c4f856acde","contributors":{"editors":[{"text":"McCaffery, Rebecca M. 0000-0002-0396-0387","orcid":"https://orcid.org/0000-0002-0396-0387","contributorId":211539,"corporation":false,"usgs":true,"family":"McCaffery","given":"Rebecca","middleInitial":"M.","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":754348,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Jenkins, Kurt J. 0000-0003-1415-6607 kurt_jenkins@usgs.gov","orcid":"https://orcid.org/0000-0003-1415-6607","contributorId":3415,"corporation":false,"usgs":true,"family":"Jenkins","given":"Kurt","email":"kurt_jenkins@usgs.gov","middleInitial":"J.","affiliations":[{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true},{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":754347,"contributorType":{"id":2,"text":"Editors"},"rank":2}]}} ,{"id":70195323,"text":"70195323 - 2018 - Strategic and critical metals in produced geothermal fluids from Nevada and Utah","interactions":[],"lastModifiedDate":"2019-03-28T10:51:32","indexId":"70195323","displayToPublicDate":"2018-12-01T10:23:08","publicationYear":"2018","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Strategic and critical metals in produced geothermal fluids from Nevada and Utah","docAbstract":"Herein we summarize the results of an investigation dealing with the concentrations and inventories of strategic, critical and valuable materials (SCVM) in produced fluids from geothermal and hydrocarbon reservoirs (50-250° C) in Nevada and Utah. Water samples were collected from thirty-four production wells across eight geothermal fields, the Uinta Basin oil/gas province in northeast Utah, and the Covenant oil field in southwestern Utah; additional water samples were collected from six hot springs in the Sevier Thermal Belt in southwestern Utah. Most SCVM concentrations in produced waters range from <0.1 to 100 µg/kg; the main exception is lithium, which has concentrations that range from <1000 to 25,000 ug/kg. Relatively high concentrations of gallium, germanium, scandium, selenium, and tellurium are measured too. Geothermal waters contain very low concentrations of REEs, below analytical detections limits (0.01 µg/kg), but the concentrations of lanthanum, cerium, and europium range from 0.05 to 5 µg/kg in Uinta basin waters. Among the geothermal fields, the Roosevelt Hot Spring reservoir appears to have the largest inventories of germanium and lithium, and Patua appears to have the largest inventories of gallium, scandium, selenium, and tellurium. By comparison, the Uinta basin has larger inventories of gallium. The concentrations of gallium, germanium, lithium, scandium, selenium, and tellurium in produced waters appear to be partly related to reservoir temperature and concentrations of total dissolved salts. The relatively high concentration and large inventory of lithium occurring at Roosevelt Hot Springs may be related to granitic-gneissic crystalline rocks, which host the reservoir. Analyses of calcite scales from Dixie Valley indicate enrichments in cobalt, gallium, gold, palladium, selenium and tellurium, and these metals appear to be depositing at deep levels in production wells due to boiling. Comparisons with SCVM mineral deposits suggest that brines in sedimentary basins, or derived from lacustrine evaporites, enable aqueous transport of gallium, germanium, and lithium.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Proceedings 43rd Stanford Geothermal Workshop","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"43rd Workshop on Geothermal Reservoir Engineering","conferenceDate":"February 12-14, 2018","conferenceLocation":"Stanford, CA","language":"English","publisher":"OSTI","usgsCitation":"Simmons, S.F., Kirby, S.H., Verplanck, P., and Kelley, K.D., 2018, Strategic and critical metals in produced geothermal fluids from Nevada and Utah, in Proceedings 43rd Stanford Geothermal Workshop, Stanford, CA, February 12-14, 2018, 12 p.","productDescription":"12 p.","ipdsId":"IP-093498","costCenters":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"links":[{"id":362374,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":362373,"rank":1,"type":{"id":11,"text":"Document"},"url":"https://www.osti.gov/servlets/purl/1433889"}],"publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Simmons, Stuart F.","contributorId":127612,"corporation":false,"usgs":false,"family":"Simmons","given":"Stuart","email":"","middleInitial":"F.","affiliations":[{"id":7079,"text":"Energy and Geoscience Institute, University of Utah","active":true,"usgs":false}],"preferred":false,"id":727847,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kirby, Stephe H.","contributorId":140745,"corporation":false,"usgs":false,"family":"Kirby","given":"Stephe","email":"","middleInitial":"H.","affiliations":[{"id":590,"text":"U.S. Army Corps of Engineers","active":false,"usgs":false}],"preferred":false,"id":727848,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Verplanck, Philip L. 0000-0002-3653-6419","orcid":"https://orcid.org/0000-0002-3653-6419","contributorId":202205,"corporation":false,"usgs":true,"family":"Verplanck","given":"Philip L.","affiliations":[{"id":387,"text":"Mineral Resources Program","active":true,"usgs":true},{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":727849,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kelley, Karen Duttweiler 0000-0002-3232-5809 kdkelley@usgs.gov","orcid":"https://orcid.org/0000-0002-3232-5809","contributorId":192758,"corporation":false,"usgs":true,"family":"Kelley","given":"Karen","email":"kdkelley@usgs.gov","middleInitial":"Duttweiler","affiliations":[{"id":387,"text":"Mineral Resources Program","active":true,"usgs":true},{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":727846,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70263399,"text":"70263399 - 2018 - Effects of simulated magnitude 9 earthquake motions on structures in the Pacific Northwest","interactions":[],"lastModifiedDate":"2025-02-12T16:24:54.670783","indexId":"70263399","displayToPublicDate":"2018-12-01T10:22:50","publicationYear":"2018","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Effects of simulated magnitude 9 earthquake motions on structures in the Pacific Northwest","docAbstract":"The Cascadia Subduction Zone (CSZ) produces long-duration, large-magnitude earthquakes that could severely affect structures in the Pacific Northwest (PNW). The impact of synthetic M9.0 CSZ earthquakes on buildings in the Pacific Northwest is studied using eight reinforced concrete wall archetypes that range from 4 to 40 stories. These archetypes were subjected to an ensemble of simulated ground-motions from 30 M9 earthquakes for a location in Seattle that overlies a ~8km deep sedimentary basin and an equivalent location outside the basin. Long-period (1-7s) ground motions are strongly amplified in the CSZ synthetics within the Seattle Basin, leading to a 6-fold increase in deformation demand (inter-story drift) compared to an equivalent out of basin site. The variability in demand was also found to be much larger inside the basin than outside the basin.
","conferenceTitle":"11th U.S.National Conference on Earthquake Engineering","conferenceDate":"June 25-29, 2018","conferenceLocation":"Los Angeles, CA","language":"English","publisher":"Earthquake Engineering Research Institute (EERI)","usgsCitation":"Marafi, N.A., Eberhard, M., Berman, J., Wirth, E.A., Frankel, A.D., and Vidale, J., 2018, Effects of simulated magnitude 9 earthquake motions on structures in the Pacific Northwest, 11th U.S.National Conference on Earthquake Engineering, Los Angeles, CA, June 25-29, 2018, 5 p.","productDescription":"5 p.","ipdsId":"IP-097646","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":481981,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Marafi, Nasser A.","contributorId":197874,"corporation":false,"usgs":false,"family":"Marafi","given":"Nasser","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":926825,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Eberhard, M.","contributorId":197875,"corporation":false,"usgs":false,"family":"Eberhard","given":"M.","affiliations":[],"preferred":false,"id":926826,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Berman, J.","contributorId":350734,"corporation":false,"usgs":false,"family":"Berman","given":"J.","affiliations":[{"id":6934,"text":"University of Washington","active":true,"usgs":false}],"preferred":false,"id":926827,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wirth, Erin A. 0000-0002-8592-4442","orcid":"https://orcid.org/0000-0002-8592-4442","contributorId":207853,"corporation":false,"usgs":true,"family":"Wirth","given":"Erin","middleInitial":"A.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":926828,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Frankel, Arthur D. 0000-0001-9119-6106 afrankel@usgs.gov","orcid":"https://orcid.org/0000-0001-9119-6106","contributorId":146285,"corporation":false,"usgs":true,"family":"Frankel","given":"Arthur","email":"afrankel@usgs.gov","middleInitial":"D.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":926829,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Vidale, J.","contributorId":349703,"corporation":false,"usgs":false,"family":"Vidale","given":"J.","affiliations":[{"id":13249,"text":"University of Southern California","active":true,"usgs":false}],"preferred":false,"id":926830,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ]}