The Priority Basin Project (PBP) of the Groundwater Ambient Monitoring and Assessment (GAMA) program was developed in response to the Groundwater Quality Monitoring Act of 2001 and is being conducted by the U.S. Geological Survey (USGS) in cooperation with the California State Water Resources Control Board (SWRCB). From May 2004 to March 2012, the GAMA-PBP collected samples from more than 2,300 wells in 35 study units across the State. Selected wells in each study unit were sampled again approximately 3 years after initial sampling as part of an assessment of temporal trends in water quality by the GAMA-PBP. This triennial (every 3 years) trend sampling of GAMA-PBP study units concluded in December 2013. Fifteen of the study units, initially sampled between January 2006 and June 2010 and sampled a second time between April 2009 and April 2013 to assess temporal trends, are the subject of this report.
\nThe initial sampling was designed to provide a spatially unbiased assessment of the quality of untreated groundwater used for public water supplies in the 15 study units. In these study units, 730 wells were selected by using a spatially distributed, randomized grid-based method to provide statistical representation of the areas assessed (grid wells, also called “status wells”). Approximately 3 years after the initial sampling, 93 of the previously sampled status wells (approximately 10 percent in each study unit) were randomly selected for trend sampling (“trend wells”). The 15 study units sampled for trends were distributed among 4 hydrogeologic provinces: Central Valley, Basin and Range, Desert, and Transverse and selected Peninsular Ranges.
\nThe total number of status wells sampled, along with those sampled again for trends, varied by study unit. In the Central Valley hydrogeologic province, the numbers of status wells and trend wells in each study unit were as follows:
\nIn the Transverse and Selected Peninsular Ranges hydrogeologic province, the numbers of wells were as follows:
\n\n
The groundwater samples were analyzed for a number of synthetic organic constituents (volatile organic compounds, pesticides, and pesticide degradates), constituents of special interest (perchlorate, N-nitrosodimethylamine [NDMA], and 1,2,3-trichloropropane [1,2,3-TCP]), and naturally occurring inorganic constituents (nutrients, major and minor ions, and trace elements). Naturally occurring isotopes (tritium, carbon-14, and stable isotopes of hydrogen and oxygen in water) also were measured to help identify processes affecting groundwater quality and the sources and ages of the sampled groundwater. More than 200 constituents and water-quality indicators were investigated.
\nQuality-control samples (blanks, replicates, or samples for matrix spikes) were collected at 34 percent of the trend wells, and the results for these samples were used to evaluate the quality of the data for the groundwater samples. On the basis of detections in laboratory and field blanks in samples from GAMA-PBP study units, including the study units presented here, some groundwater results were adjusted in this report. Differences between replicate samples were mostly within acceptable ranges, indicating acceptably low variability in analytical results. Median matrix-spike recoveries were within the acceptable range (70 to 130 percent) for 189 of the 224 compounds for which matrix spikes were analyzed (84 percent).
\nThis study did not attempt to evaluate the quality of water delivered to consumers. After withdrawal, groundwater used for drinking water typically is treated, disinfected, and blended with other waters to attain acceptable water quality. The benchmarks used in this report apply to treated water that is served to the consumer, not to untreated groundwater. To provide some context for the results, however, concentrations of constituents measured in these groundwater samples were compared with benchmarks established by the U.S. Environmental Protection Agency and California Department of Public Health. Comparisons between data collected for this study and benchmarks for drinking-water quality are for illustrative purposes only and are not indicative of compliance or non-compliance with those benchmarks.
\nMost constituents that were detected in groundwater samples from the trend wells were found at concentrations less than drinking-water benchmarks. Two volatile organic compounds (VOCs)—tetrachloroethene and trichloroethene—were detected in samples from one or more wells at concentrations greater than their health-based benchmarks, and three VOCs—chloroform, tetrachloroethene, and trichloroethene—were detected in at least 10 percent of the trend-well samples from the initial sampling period and the later trend sampling period. No pesticides were detected at concentrations near or greater than their health-based benchmarks. Three pesticide constituents—atrazine, deethylatrazine, and simazine—were detected in more than 10 percent of the trend-well samples in both sampling periods. Perchlorate, a constituent of special interest, was detected at a concentration greater than its health-based benchmark in samples from one trend well in the initial sampling and trend sampling periods, and in an additional trend well sample only in the trend sampling period. Most detections of nutrients, major and minor ions, and trace elements in samples from trend wells were less than health-based benchmarks in both sampling periods. Exceptions included nitrate, fluoride, arsenic, boron, molybdenum, strontium, and uranium; these were all detected at concentrations greater than their health-based benchmarks in at least one well sample in both sampling periods. Lead and vanadium were detected above their health-based benchmarks in one sample each collected in the initial sampling period only. The isotopic ratios of oxygen and hydrogen in water and the activities of tritium and carbon-14 generally changed little between sampling periods.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds919","collaboration":"Prepared in cooperation with the California State Water Resources Control Board","usgsCitation":"Kent, Robert, 2015, Groundwater quality data in 15 GAMA study units: Results from the 2006–10 initial sampling and the 2009–13 resampling of wells, California GAMA Priority Basin Project: U.S. Geological Survey Data Series 919, 219 p., https://dx.doi.org/10.3133/ds919.","productDescription":"Report: x, 220 p.; Appendix tables","numberOfPages":"234","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-050712","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":307704,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/ds/0919/ds919.pdf","text":"Report","size":"20.9 MB","linkFileType":{"id":1,"text":"pdf"},"description":"DS 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\"}}]}","contact":"Director, California Water Science Center
U.S. Geological Survey
6000 J Street, Placer Hall
Sacramento, CA 95819
http://ca.water.usgs.gov
Soil carbon storage plays a key role in the global carbon cycle and is important for sustaining forest productivity. Removal of unpaved forest roads has the potential for increasing carbon storage in soils on forested terrain as treated sites revegetate and soil properties improve on the previously compacted road surfaces. We compared soil organic carbon (SOC) content at several depths on treated roads to SOC in adjacent second-growth forests and old-growth redwood forests in California, determined whether SOC in the upper 50 cm of soil varies with the type of road treatment, and assessed the relative importance of site-scale and landscape-scale variables in predicting SOC accumulation in treated road prisms and second-growth redwood forests. Soils were sampled at 5, 20, and 50 cm depths on roads treated by two methods (decommissioning and full recontouring), and in adjacent second-growth and old-growth forests in north coastal California. Road treatments spanned a period of 32 years, and covered a range of geomorphic and vegetative conditions. SOC decreased with depth at all sites. Treated roads on convex sites exhibited higher SOC than on concave sites, and north aspect sites had higher SOC than south aspect sites. SOC at 5, 20, and 50 cm depths did not differ significantly between decommissioned roads (treated 18–32 years previous) and fully recontoured roads (treated 2–12 years previous). Nevertheless, stepwise multiple regression models project higher SOC developing on fully recontoured roads in the next few decades. The best predictors for SOC on treated roads and in second-growth forest incorporated aspect, vegetation type, soil depth, lithology, distance from the ocean, years since road treatment (for the road model) and years since harvest (for the forest model). The road model explained 48% of the variation in SOC in the upper 50 cm of mineral soils and the forest model, 54%
","language":"English","publisher":"Wiley","doi":"10.1002/esp.3781","usgsCitation":"Seney, J., and Madej, M.A., 2015, Soil carbon storage following road removal and timber harvesting in redwood forests: Earth Surface Processes and Landforms, v. 40, no. 15, p. 2084-2092, https://doi.org/10.1002/esp.3781.","productDescription":"9 p.","startPage":"2084","endPage":"2092","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-059660","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":471842,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/esp.3781","text":"Publisher Index Page"},{"id":307736,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Redwood National and State Parks","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -124.10705566406249,\n 41.21585377825921\n ],\n [\n -124.10705566406249,\n 41.176586696571015\n ],\n [\n -123.99719238281249,\n 41.071069130806414\n ],\n [\n -123.93402099609374,\n 41.05864414643029\n ],\n [\n -123.8653564453125,\n 41.089702205437405\n ],\n [\n -123.837890625,\n 41.143501411390766\n ],\n [\n -123.91204833984375,\n 41.19725651800892\n ],\n [\n -123.95599365234375,\n 41.244772343082104\n ],\n [\n -123.9312744140625,\n 41.31907562295136\n ],\n [\n -123.914794921875,\n 41.3850519497068\n ],\n [\n -123.99444580078125,\n 41.44684402008925\n ],\n [\n -124.03289794921876,\n 41.48389104267175\n ],\n [\n -124.09332275390624,\n 41.50652046891492\n ],\n [\n -124.068603515625,\n 41.47154438707647\n ],\n [\n -124.07135009765625,\n 41.38917324986403\n ],\n [\n -124.08782958984375,\n 41.29638081886435\n ],\n [\n -124.09606933593751,\n 41.22824901518532\n ],\n [\n -124.10705566406249,\n 41.21585377825921\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"40","issue":"15","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationDate":"2015-08-03","publicationStatus":"PW","scienceBaseUri":"55e56ca3e4b05561fa208672","contributors":{"authors":[{"text":"Seney, Joseph","contributorId":53265,"corporation":false,"usgs":true,"family":"Seney","given":"Joseph","email":"","affiliations":[],"preferred":false,"id":570243,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Madej, Mary Ann 0000-0003-2831-3773 mary_ann_madej@usgs.gov","orcid":"https://orcid.org/0000-0003-2831-3773","contributorId":40304,"corporation":false,"usgs":true,"family":"Madej","given":"Mary","email":"mary_ann_madej@usgs.gov","middleInitial":"Ann","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":570242,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70156722,"text":"70156722 - 2015 - Tree mortality from drought, insects, and their interactions in a changing climate","interactions":[],"lastModifiedDate":"2018-01-23T09:30:31","indexId":"70156722","displayToPublicDate":"2015-08-31T14:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2863,"text":"New Phytologist","active":true,"publicationSubtype":{"id":10}},"title":"Tree mortality from drought, insects, and their interactions in a changing climate","docAbstract":"Climate change is expected to drive increased tree mortality through drought, heat stress, and insect attacks, with manifold impacts on forest ecosystems. Yet, climate-induced tree mortality and biotic disturbance agents are largely absent from process-based ecosystem models. Using data sets from the western USA and associated studies, we present a framework for determining the relative contribution of drought stress, insect attack, and their interactions, which is critical for modeling mortality in future climates. We outline a simple approach that identifies the mechanisms associated with two guilds of insects – bark beetles and defoliators – which are responsible for substantial tree mortality. We then discuss cross-biome patterns of insect-driven tree mortality and draw upon available evidence contrasting the prevalence of insect outbreaks in temperate and tropical regions. We conclude with an overview of tools and promising avenues to address major challenges. Ultimately, a multitrophic approach that captures tree physiology, insect populations, and tree–insect interactions will better inform projections of forest ecosystem responses to climate change.
","language":"English","publisher":"Wiley","doi":"10.1111/nph.13477","usgsCitation":"Anderegg, W.R., Hicke, J.A., Fisher, R.A., Allen, C.D., Aukema, J.E., Bentz, B., Hood, S., Lichstein, J.W., Macalady, A.K., McDowell, N.G., Pan, Y., Raffa, K., Sala, A., Shaw, J.D., Stephenson, N.L., Tague, C.L., and Zeppel, M., 2015, Tree mortality from drought, insects, and their interactions in a changing climate: New Phytologist, v. 208, no. 3, p. 674-683, https://doi.org/10.1111/nph.13477.","productDescription":"10 p.","startPage":"674","endPage":"683","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-057138","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true},{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":471843,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/nph.13477","text":"Publisher Index Page"},{"id":307729,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"208","issue":"3","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationDate":"2015-06-09","publicationStatus":"PW","scienceBaseUri":"55e56ca3e4b05561fa208675","chorus":{"doi":"10.1111/nph.13477","url":"http://dx.doi.org/10.1111/nph.13477","publisher":"Wiley-Blackwell","authors":"Anderegg William R. L., Hicke Jeffrey A., Fisher Rosie A., Allen Craig D., Aukema Juliann, Bentz Barbara, Hood Sharon, Lichstein Jeremy W., Macalady Alison K., McDowell Nate, Pan Yude, Raffa Kenneth, Sala Anna, Shaw John D., Stephenson Nathan L., Tague Christina, Zeppel Melanie","journalName":"New Phytologist","publicationDate":"6/9/2015","auditedOn":"10/27/2015"},"contributors":{"authors":[{"text":"Anderegg, William R.L.","contributorId":147089,"corporation":false,"usgs":false,"family":"Anderegg","given":"William","email":"","middleInitial":"R.L.","affiliations":[{"id":16784,"text":"Princeton U.","active":true,"usgs":false}],"preferred":false,"id":570245,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hicke, Jeffrey A.","contributorId":36475,"corporation":false,"usgs":true,"family":"Hicke","given":"Jeffrey","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":570246,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fisher, Rosie A.","contributorId":147090,"corporation":false,"usgs":false,"family":"Fisher","given":"Rosie","email":"","middleInitial":"A.","affiliations":[{"id":16785,"text":"National Center for Atmospheric Research, Boulder, CO","active":true,"usgs":false}],"preferred":false,"id":570247,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Allen, Craig D. 0000-0002-8777-5989 craig_allen@usgs.gov","orcid":"https://orcid.org/0000-0002-8777-5989","contributorId":2597,"corporation":false,"usgs":true,"family":"Allen","given":"Craig","email":"craig_allen@usgs.gov","middleInitial":"D.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true},{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":570248,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Aukema, Juliann E.","contributorId":145837,"corporation":false,"usgs":false,"family":"Aukema","given":"Juliann","email":"","middleInitial":"E.","affiliations":[{"id":16252,"text":"National Center for Ecological Analysis & Synthesis (NCEAS), University of California Santa Barbara","active":true,"usgs":false}],"preferred":false,"id":570249,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Bentz, Barbara","contributorId":146954,"corporation":false,"usgs":false,"family":"Bentz","given":"Barbara","affiliations":[],"preferred":false,"id":570250,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Hood, Sharon","contributorId":147091,"corporation":false,"usgs":false,"family":"Hood","given":"Sharon","affiliations":[{"id":16786,"text":"U of Montana, Missoula, MT","active":true,"usgs":false}],"preferred":false,"id":570251,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Lichstein, Jeremy W.","contributorId":147092,"corporation":false,"usgs":false,"family":"Lichstein","given":"Jeremy","email":"","middleInitial":"W.","affiliations":[{"id":16787,"text":"U of Florida, Gainesville, FL","active":true,"usgs":false}],"preferred":false,"id":570252,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Macalady, Alison K.","contributorId":69855,"corporation":false,"usgs":true,"family":"Macalady","given":"Alison","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":570253,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"McDowell, Nate G.","contributorId":46839,"corporation":false,"usgs":true,"family":"McDowell","given":"Nate","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":570254,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Pan, Yude","contributorId":68872,"corporation":false,"usgs":true,"family":"Pan","given":"Yude","email":"","affiliations":[],"preferred":false,"id":570255,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Raffa, Kenneth","contributorId":147093,"corporation":false,"usgs":false,"family":"Raffa","given":"Kenneth","affiliations":[{"id":13562,"text":"University of Wisconsin, Madison","active":true,"usgs":false}],"preferred":false,"id":570256,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Sala, Anna","contributorId":147094,"corporation":false,"usgs":false,"family":"Sala","given":"Anna","email":"","affiliations":[{"id":5103,"text":"The University of Montana, Division of Biological Sciences, Missoula, Montana 59812","active":true,"usgs":false}],"preferred":false,"id":570257,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Shaw, John D.","contributorId":147095,"corporation":false,"usgs":false,"family":"Shaw","given":"John","email":"","middleInitial":"D.","affiliations":[{"id":6679,"text":"US Forest Service, Rocky Mountain Research Station","active":true,"usgs":false}],"preferred":false,"id":570258,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Stephenson, Nathan L. 0000-0003-0208-7229 nstephenson@usgs.gov","orcid":"https://orcid.org/0000-0003-0208-7229","contributorId":2836,"corporation":false,"usgs":true,"family":"Stephenson","given":"Nathan","email":"nstephenson@usgs.gov","middleInitial":"L.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":570244,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Tague, Christina L.","contributorId":54493,"corporation":false,"usgs":true,"family":"Tague","given":"Christina","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":570259,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Zeppel, Melanie","contributorId":147096,"corporation":false,"usgs":false,"family":"Zeppel","given":"Melanie","email":"","affiliations":[{"id":16788,"text":"Macquarie University","active":true,"usgs":false}],"preferred":false,"id":570260,"contributorType":{"id":1,"text":"Authors"},"rank":17}]}} ,{"id":70156723,"text":"70156723 - 2015 - Concentration and retention of Toxoplasma gondii oocysts by marine snails demonstrate a novel mechanism for transmission of terrestrial zoonotic pathogens in coastal ecosystems","interactions":[],"lastModifiedDate":"2015-11-30T11:11:16","indexId":"70156723","displayToPublicDate":"2015-08-31T14:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1548,"text":"Environmental Microbiology","active":true,"publicationSubtype":{"id":10}},"title":"Concentration and retention of Toxoplasma gondii oocysts by marine snails demonstrate a novel mechanism for transmission of terrestrial zoonotic pathogens in coastal ecosystems","docAbstract":"The parasite Toxoplasma gondii is an environmentally persistent pathogen that can cause fatal disease in humans, terrestrial warm-blooded animals and aquatic mammals. Although an association between T. gondii exposure and prey specialization on marine snails was identified in threatened California sea otters, the ability of kelp-dwelling snails to transmit terrestrially derived pathogens has not been previously investigated. The objective of this study was to measure concentration and retention of T. gondii by marine snails in laboratory aquaria, and to test for natural T. gondii contamination in field-collected snails. Following exposure to T. gondii-containing seawater, oocysts were detected by microscopy in snail faeces and tissues for 10 and 3 days respectively. Nested polymerase chain reaction was also applied as a method for confirming putative T. gondii oocysts detected in snail faeces and tissues by microscopy. Toxoplasma gondiiwas not detected in field-collected snails. Results suggest that turban snails are competent transport hosts for T. gondii. By concentrating oocysts in faecal pellets, snails may facilitate entry of T. gondii into the nearshore marine food web. This novel mechanism also represents a general pathway by which marine transmission of terrestrially derived microorganisms can be mediated via pathogen concentration and retention by benthic invertebrates.
","language":"English","publisher":"Wiley","doi":"10.1111/1462-2920.12927","usgsCitation":"Krusor, C., Smith, W.A., Tinker, M.T., Silver, M., Conrad, P., and Shapiro, K., 2015, Concentration and retention of Toxoplasma gondii oocysts by marine snails demonstrate a novel mechanism for transmission of terrestrial zoonotic pathogens in coastal ecosystems: Environmental Microbiology, v. 17, no. 11, p. 4527-4537, https://doi.org/10.1111/1462-2920.12927.","productDescription":"11 p.","startPage":"4527","endPage":"4537","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-066042","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":307728,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"17","issue":"11","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationDate":"2015-07-22","publicationStatus":"PW","scienceBaseUri":"55e56ca2e4b05561fa20866a","contributors":{"authors":[{"text":"Krusor, Colin","contributorId":147097,"corporation":false,"usgs":false,"family":"Krusor","given":"Colin","email":"","affiliations":[{"id":7214,"text":"University of California, Davis","active":true,"usgs":false}],"preferred":false,"id":570262,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Smith, Woutrina A.","contributorId":147098,"corporation":false,"usgs":false,"family":"Smith","given":"Woutrina","email":"","middleInitial":"A.","affiliations":[{"id":7214,"text":"University of California, Davis","active":true,"usgs":false}],"preferred":false,"id":570263,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Tinker, M. Tim 0000-0002-3314-839X ttinker@usgs.gov","orcid":"https://orcid.org/0000-0002-3314-839X","contributorId":2796,"corporation":false,"usgs":true,"family":"Tinker","given":"M.","email":"ttinker@usgs.gov","middleInitial":"Tim","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":570261,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Silver, Mary","contributorId":147099,"corporation":false,"usgs":false,"family":"Silver","given":"Mary","email":"","affiliations":[{"id":6949,"text":"University of California, Santa Cruz","active":true,"usgs":false}],"preferred":false,"id":570264,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Conrad, Patricia A.","contributorId":88289,"corporation":false,"usgs":true,"family":"Conrad","given":"Patricia A.","affiliations":[],"preferred":false,"id":570265,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Shapiro, Karen","contributorId":147100,"corporation":false,"usgs":false,"family":"Shapiro","given":"Karen","email":"","affiliations":[{"id":7214,"text":"University of California, Davis","active":true,"usgs":false}],"preferred":false,"id":570266,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70156557,"text":"ds952 - 2015 - Baseline Coastal Oblique Aerial Photographs Collected from Navarre Beach, Florida, to Breton Island, Louisiana,The U.S. Geological Survey (USGS), as part of the National Assessment for Coastal Change Hazards Project, conducts baseline and storm response photography missions to document and understand the changes in vulnerability of the Nation's coasts to extreme storms (Morgan, 2009). On September 1, 2014, the USGS conducted an oblique aerial photographic survey from Navarre Beach, Florida, to Breton Island, Louisiana (Figure 1), aboard a Maule MT57 aircraft at an altitude of 500 feet (ft) and approximately 1,200 ft offshore (Figure 2). This mission was flown to collect baseline data for assessing incremental changes since the last survey, flown July 2013, and the data can be used in the assessment of future coastal change.
\nThe photographs provided here are Joint Photographic Experts Group (JPEG) images. ExifTool was used to add the following to the header of each photo: time of collection, Global Positioning System (GPS) latitude, GPS longitude, keywords, credit, artist (photographer), caption, copyright, and contact information. The photograph locations are an estimate of the position of the aircraft and do not indicate the location of any feature in the images (see the Navigation Data page). These photographs document the configuration of the barrier islands and other coastal features at the time of the survey. Pages containing thumbnail images of the photographs, referred to as contact sheets, were created in 5-minute segments of flight time. These segments can be found on the Photos and Maps page. Photographs can be opened directly with any JPEG-compatible image viewer by clicking on a thumbnail on the contact sheet.
\nTable 1 provides detailed information about the GPS location, image name, and date of each of the 1,111 photographs taken along with links to each photograph.
\nIn addition to the photographs, a Google Earth Keyhole Markup Language (KML) file is provided and can be used to view the images by clicking on the marker and then clicking on either the thumbnail or the link above the thumbnail. The KML files were created using the photographic navigation files.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds952","usgsCitation":"Morgan, K.L.M., 2015, Baseline coastal oblique aerial photographs collected from Navarre Beach, Florida, to Breton Island, Louisiana, September 1, 2014: U.S. Geological Survey Data Series 952, https://dx.doi.org/10.3133/ds952.","productDescription":"HTML Document","onlineOnly":"Y","additionalOnlineFiles":"N","temporalStart":"2014-09-01","ipdsId":"IP-065592","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":307593,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/ds/0952/index.html","text":"Report","linkFileType":{"id":5,"text":"html"},"description":"Data Series 952"},{"id":307592,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/ds/0952/coverthb.jpg"}],"country":"United States","state":"Alabama, Florida, Lousianna, Mississippi","otherGeospatial":"Navarre Beach, Breton Island","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -86.94305419921875,\n 30.484183951487754\n ],\n [\n -86.91558837890625,\n 30.28041626667403\n ],\n [\n -87.31109619140625,\n 30.090484220005344\n ],\n [\n -88.40972900390625,\n 29.776297851831366\n ],\n [\n -88.86016845703125,\n 29.547177213315784\n ],\n [\n -89.09088134765625,\n 29.563901551414443\n ],\n [\n -89.07989501953125,\n 29.702368038541767\n ],\n [\n -89.0936279296875,\n 30.109493896732292\n ],\n [\n -89.132080078125,\n 30.351546261929034\n ],\n [\n -89.04144287109375,\n 30.43683404544223\n ],\n [\n -88.83544921874999,\n 30.510216587229984\n ],\n [\n -87.58575439453125,\n 30.500750980290693\n ],\n [\n -87.03094482421875,\n 30.50311746839939\n ],\n [\n -86.94305419921875,\n 30.484183951487754\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"St. Petersburg Coastal and Marine Science Center
600 4th Street South
St. Petersburg, FL 33701
(727) 502-8000
http://coastal.er.usgs.gov/
At the Amazon estuary, the oldest logging frontier in the Amazon, no studies have comprehensively explored the potential long-term population and yield consequences of multiple timber harvests over time. Matrix population modeling is one way to simulate long-term impacts of tree harvests, but this approach has often ignored common impacts of tree harvests including incidental damage, changes in post-harvest demography, shifts in the distribution of merchantable trees, and shifts in stand composition. We designed a matrix-based forest management model that incorporates these harvest-related impacts so resulting simulations reflect forest stand dynamics under repeated timber harvests as well as the realities of local smallholder timber management systems. Using a wide range of values for management criteria (e.g., length of cutting cycle, minimum cut diameter), we projected the long-term population dynamics and yields of hundreds of timber management regimes in the Amazon estuary, where small-scale, unmechanized logging is an important economic activity. These results were then compared to find optimal stand-level and species-specific sustainable timber management (STM) regimes using a set of timber yield and population growth indicators. Prospects for STM in Amazonian tidal floodplain forests are better than for many other tropical forests. However, generally high stock recovery rates between harvests are due to the comparatively high projected mean annualized yields from fast-growing species that effectively counterbalance the projected yield declines from other species. For Amazonian tidal floodplain forests, national management guidelines provide neither the highest yields nor the highest sustained population growth for species under management. Our research shows that management guidelines specific to a region’s ecological settings can be further refined to consider differences in species demographic responses to repeated harvests. In principle, such fine-tuned management guidelines could make management more attractive, thus bridging the currently prevalent gap between tropical timber management practice and regulation.
","language":"English","publisher":"Public Library of Science","publisherLocation":"San Francisco, CA","doi":"10.1371/journal.pone.0136740","usgsCitation":"Fortini, L.B., Cropper, W.P., and Zarin, D.J., 2015, Modeling the complex impacts of timber harvests to find optimal management regimes for Amazon tidal floodplain forests: PLoS ONE, v. 10, no. 8, p. 1-17, https://doi.org/10.1371/journal.pone.0136740.","productDescription":"e0136740; 17 p.","startPage":"1","endPage":"17","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-066968","costCenters":[{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true}],"links":[{"id":471846,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0136740","text":"Publisher Index Page"},{"id":312008,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Brazil","otherGeospatial":"Amazon River, Mazagão watershed","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -51.6,\n -0.5\n ],\n [\n -51.6,\n -0.4 \n ],\n [\n -51.5,\n -0.4 \n ],\n [\n -51.5,\n -0.5\n ],\n [\n -51.6,\n -0.5\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"10","issue":"8","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2015-08-31","publicationStatus":"PW","scienceBaseUri":"5666bbe6e4b06a3ea36c8b3a","contributors":{"authors":[{"text":"Fortini, Lucas B. 0000-0002-5781-7295 lfortini@usgs.gov","orcid":"https://orcid.org/0000-0002-5781-7295","contributorId":4645,"corporation":false,"usgs":true,"family":"Fortini","given":"Lucas","email":"lfortini@usgs.gov","middleInitial":"B.","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":false,"id":581403,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cropper, Wendell P.","contributorId":150362,"corporation":false,"usgs":false,"family":"Cropper","given":"Wendell","email":"","middleInitial":"P.","affiliations":[{"id":12557,"text":"University of Florida, FLREC","active":true,"usgs":false}],"preferred":false,"id":581404,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Zarin, Daniel J.","contributorId":150363,"corporation":false,"usgs":false,"family":"Zarin","given":"Daniel","email":"","middleInitial":"J.","affiliations":[{"id":18011,"text":"Climate and Land Use Alliance","active":true,"usgs":false}],"preferred":false,"id":581405,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70157344,"text":"70157344 - 2015 - Late Pleistocene ages for the most recent volcanism and glacial-pluvial deposits at Big Pine volcanic field, California, USA, from cosmogenic 36Cl dating","interactions":[],"lastModifiedDate":"2015-09-23T11:39:58","indexId":"70157344","displayToPublicDate":"2015-08-30T12:45:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1757,"text":"Geochemistry, Geophysics, Geosystems","active":true,"publicationSubtype":{"id":10}},"title":"Late Pleistocene ages for the most recent volcanism and glacial-pluvial deposits at Big Pine volcanic field, California, USA, from cosmogenic 36Cl dating","docAbstract":"The Big Pine volcanic field is one of several Quaternary volcanic fields that poses a potential volcanic hazard along the tectonically active Owens Valley of east-central California, and whose lavas are interbedded with deposits from Pleistocene glaciations in the Sierra Nevada Range. Previous geochronology indicates an ∼1.2 Ma history of volcanism, but the eruption ages and distribution of volcanic products associated with the most-recent eruptions have been poorly resolved. To delimit the timing and products of the youngest volcanism, we combine field mapping and cosmogenic 36Cl dating of basaltic lava flows in the area where lavas with youthful morphology and well-preserved flow structures are concentrated. Field mapping and petrology reveal approximately 15 vents and 6 principal flow units with variable geochemical composition and mineralogy. Cosmogenic 36Cl exposure ages for lava flow units from the top, middle, and bottom of the volcanic stratigraphy indicate eruptions at ∼17, 27, and 40 ka, revealing several different and previously unrecognized episodes of late Pleistocene volcanism. Olivine to plagioclase-pyroxene phyric basalt erupted from several vents during the most recent episode of volcanism at ∼17 ka, and produced a lava flow field covering ∼35 km2. The late Pleistocene 36Cl exposure ages indicate that moraine and pluvial shoreline deposits that overlie or modify the youngest Big Pine lavas reflect Tioga stage glaciation in the Sierra Nevada and the shore of paleo-Owens Lake during the last glacial cycle.
","language":"English","publisher":"American Geophysical Union","publisherLocation":"Washington, D.C.","doi":"10.1002/2015GC005889","usgsCitation":"Vazquez, J.A., and Woolford, J.M., 2015, Late Pleistocene ages for the most recent volcanism and glacial-pluvial deposits at Big Pine volcanic field, California, USA, from cosmogenic 36Cl dating: Geochemistry, Geophysics, Geosystems, v. 16, p. 1-17, https://doi.org/10.1002/2015GC005889.","productDescription":"17 p.","startPage":"1","endPage":"17","numberOfPages":"17","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-063301","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":471847,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/2015gc005889","text":"Publisher Index Page"},{"id":308442,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"16","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2015-08-30","publicationStatus":"PW","scienceBaseUri":"5603cd4ae4b03bc34f544b1c","chorus":{"doi":"10.1002/2015gc005889","url":"http://dx.doi.org/10.1002/2015gc005889","publisher":"Wiley-Blackwell","authors":"Vazquez J. A., Woolford J. M.","journalName":"Geochemistry, Geophysics, Geosystems","publicationDate":"8/30/2015","auditedOn":"10/14/2015"},"contributors":{"authors":[{"text":"Vazquez, Jorge A. 0000-0003-2754-0456 jvazquez@usgs.gov","orcid":"https://orcid.org/0000-0003-2754-0456","contributorId":4458,"corporation":false,"usgs":true,"family":"Vazquez","given":"Jorge","email":"jvazquez@usgs.gov","middleInitial":"A.","affiliations":[{"id":5056,"text":"Office of the AD Energy and Minerals, and Environmental Health","active":true,"usgs":true},{"id":501,"text":"Office of Science Quality and Integrity","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true},{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true}],"preferred":true,"id":572760,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Woolford, Jeff M","contributorId":147805,"corporation":false,"usgs":false,"family":"Woolford","given":"Jeff","email":"","middleInitial":"M","affiliations":[{"id":16939,"text":"California State University - Northridge","active":true,"usgs":false}],"preferred":false,"id":572762,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70157351,"text":"70157351 - 2015 - Controls on the breach geometry and flood hydrograph during overtopping of non-cohesive earthen dams","interactions":[],"lastModifiedDate":"2015-09-21T15:13:26","indexId":"70157351","displayToPublicDate":"2015-08-30T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3722,"text":"Water Resources Research","onlineIssn":"1944-7973","printIssn":"0043-1397","active":true,"publicationSubtype":{"id":10}},"title":"Controls on the breach geometry and flood hydrograph during overtopping of non-cohesive earthen dams","docAbstract":"Overtopping failure of non-cohesive earthen dams was investigated in 13 large-scale experiments with dams built of compacted, damp, fine-grained sand. Breaching was initiated by cutting a notch across the dam crest and allowing water escaping from a finite upstream reservoir to form its own channel. The channel developed a stepped profile, and upstream migration of the steps, which coalesced into a headcut, led to the establishment of hydraulic control (critical flow) at the channel head, or breach crest, an arcuate erosional feature that functions hydraulically as a weir. Novel photogrammetric methods, along with underwater videography, revealed that the retreating headcut maintained a slope near the angle of friction of the sand, while the cross section at the breach crest maintained a geometrically similar shape through time. That cross-sectional shape was nearly unaffected by slope failures, contrary to the assumption in many models of dam breaching. Flood hydrographs were quite reproducible--for sets of dams ranging in height from 0.55 m to 0.98 m--when the time datum was chosen as the time that the migrating headcut intersected the breach crest. Peak discharge increased almost linearly as a function of initial dam height. Early-time variability between flood hydrographs for nominally identical dams is probably a reflection of subtle experiment-to-experiment differences in groundwater hydrology and the interaction between surface water and groundwater.
","language":"English","publisher":"American Geophysical Union","doi":"10.1002/2014WR016620","usgsCitation":"Walder, J.S., Iverson, R.M., Godt, J.W., Logan, M., and Solovitz, S.A., 2015, Controls on the breach geometry and flood hydrograph during overtopping of non-cohesive earthen dams: Water Resources Research, v. 51, no. 8, p. 6701-6724, https://doi.org/10.1002/2014WR016620.","productDescription":"24 p.","startPage":"6701","endPage":"6724","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-060938","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":308321,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"51","issue":"8","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2015-08-30","publicationStatus":"PW","scienceBaseUri":"56012a3ce4b03bc34f5443f3","chorus":{"doi":"10.1002/2014wr016620","url":"http://dx.doi.org/10.1002/2014wr016620","publisher":"Wiley-Blackwell","authors":"Walder Joseph S., Iverson Richard M., Godt Jonathan W., Logan Matthew, Solovitz Stephen A.","journalName":"Water Resources Research","publicationDate":"8/2015","auditedOn":"10/1/2015"},"contributors":{"authors":[{"text":"Walder, Joseph S. jswalder@usgs.gov","contributorId":2046,"corporation":false,"usgs":true,"family":"Walder","given":"Joseph","email":"jswalder@usgs.gov","middleInitial":"S.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":572808,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Iverson, Richard M. 0000-0002-7369-3819 riverson@usgs.gov","orcid":"https://orcid.org/0000-0002-7369-3819","contributorId":536,"corporation":false,"usgs":true,"family":"Iverson","given":"Richard","email":"riverson@usgs.gov","middleInitial":"M.","affiliations":[{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":572809,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Godt, Jonathan W. 0000-0002-8737-2493 jgodt@usgs.gov","orcid":"https://orcid.org/0000-0002-8737-2493","contributorId":1166,"corporation":false,"usgs":true,"family":"Godt","given":"Jonathan","email":"jgodt@usgs.gov","middleInitial":"W.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true},{"id":508,"text":"Office of the AD Hazards","active":true,"usgs":true}],"preferred":true,"id":572810,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Logan, Matthew 0000-0002-3558-2405 mlogan@usgs.gov","orcid":"https://orcid.org/0000-0002-3558-2405","contributorId":638,"corporation":false,"usgs":true,"family":"Logan","given":"Matthew","email":"mlogan@usgs.gov","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true},{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true}],"preferred":true,"id":572811,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Solovitz, Stephen A.","contributorId":21434,"corporation":false,"usgs":true,"family":"Solovitz","given":"Stephen","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":572812,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70148363,"text":"70148363 - 2015 - Predicting watershed post-fire sediment yield with the InVEST sediment retention model: Accuracy and uncertainties","interactions":[],"lastModifiedDate":"2022-02-07T18:09:46.569795","indexId":"70148363","displayToPublicDate":"2015-08-29T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Predicting watershed post-fire sediment yield with the InVEST sediment retention model: Accuracy and uncertainties","docAbstract":"Increased sedimentation following wildland fire can negatively impact water supply and water quality. Understanding how changing fire frequency, extent, and location will affect watersheds and the ecosystem services they supply to communities is of great societal importance in the western USA and throughout the world. In this work we assess the utility of the InVEST (Integrated Valuation of Ecosystem Services and Tradeoffs) Sediment Retention Model to accurately characterize erosion and sedimentation of burned watersheds. InVEST was developed by the Natural Capital Project at Stanford University (Tallis et al., 2014) and is a suite of GIS-based implementations of common process models, engineered for high-end computing to allow the faster simulation of larger landscapes and incorporation into decision-making. The InVEST Sediment Retention Model is based on common soil erosion models (e.g., USLE – Universal Soil Loss Equation) and determines which areas of the landscape contribute the greatest sediment loads to a hydrological network and conversely evaluate the ecosystem service of sediment retention on a watershed basis. In this study, we evaluate the accuracy and uncertainties for InVEST predictions of increased sedimentation after fire, using measured postfire sediment yields available for many watersheds throughout the western USA from an existing, published large database. We show that the model can be parameterized in a relatively simple fashion to predict post-fire sediment yield with accuracy. Our ultimate goal is to use the model to accurately predict variability in post-fire sediment yield at a watershed scale as a function of future wildfire conditions.
","conferenceTitle":"3rd Joint Federal Interagency Conference","conferenceDate":"April 19-23, 2015","conferenceLocation":"Reno, NV","language":"English","publisher":"Joint Federal Interagency Conference","usgsCitation":"Sankey, J.B., McVay, J., Kreitler, J.R., Hawbaker, T., Vaillant, N., and Lowe, S., 2015, Predicting watershed post-fire sediment yield with the InVEST sediment retention model: Accuracy and uncertainties, 3rd Joint Federal Interagency Conference, Reno, NV, April 19-23, 2015, p. 987-998.","productDescription":"12 p.","startPage":"987","endPage":"998","ipdsId":"IP-061071","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":342116,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":395555,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://acwi.gov/sos/pubs/3rdJFIC/Proceedings.pdf","linkFileType":{"id":1,"text":"pdf"}}],"publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59366daae4b0f6c2d0d7d630","contributors":{"authors":[{"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":547853,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McVay, Jason","contributorId":274867,"corporation":false,"usgs":false,"family":"McVay","given":"Jason","affiliations":[{"id":12698,"text":"Northern Arizona University","active":true,"usgs":false}],"preferred":false,"id":547854,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kreitler, Jason R. 0000-0002-0243-5281 jkreitler@usgs.gov","orcid":"https://orcid.org/0000-0002-0243-5281","contributorId":4050,"corporation":false,"usgs":true,"family":"Kreitler","given":"Jason","email":"jkreitler@usgs.gov","middleInitial":"R.","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":547855,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hawbaker, Todd 0000-0003-0930-9154 tjhawbaker@usgs.gov","orcid":"https://orcid.org/0000-0003-0930-9154","contributorId":568,"corporation":false,"usgs":true,"family":"Hawbaker","given":"Todd","email":"tjhawbaker@usgs.gov","affiliations":[{"id":547,"text":"Rocky Mountain Geographic Science Center","active":true,"usgs":true},{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":547856,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Vaillant, Nicole","contributorId":140987,"corporation":false,"usgs":false,"family":"Vaillant","given":"Nicole","affiliations":[{"id":13638,"text":"Western Wildland environmental threat assessment Center","active":true,"usgs":false}],"preferred":false,"id":547857,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Lowe, Scott bslowe@usgs.gov","contributorId":3299,"corporation":false,"usgs":true,"family":"Lowe","given":"Scott","email":"bslowe@usgs.gov","affiliations":[],"preferred":true,"id":547858,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70155950,"text":"ofr20151146 - 2015 - Summary of oceanographic measurements for characterizing light attenuation and sediment resuspension in the Barnegat Bay-Little Egg Harbor Estuary, New Jersey, 2013","interactions":[],"lastModifiedDate":"2015-08-31T09:56:10","indexId":"ofr20151146","displayToPublicDate":"2015-08-28T13:45:00","publicationYear":"2015","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2015-1146","title":"Summary of oceanographic measurements for characterizing light attenuation and sediment resuspension in the Barnegat Bay-Little Egg Harbor Estuary, New Jersey, 2013","docAbstract":"The U.S. Geological Survey, in cooperation with the New Jersey Department of Environmental Protection, measured suspended-sediment concentrations, currents, waves, light attenuation, and a variety of other water-quality parameters in the summer of 2013 in Barnegat Bay-Little Egg Harbor, New Jersey. These measurements quantified light attenuation and sediment resuspension in three seagrass meadows. Data were acquired sequentially at three paired channel-shoal sites, as the equipment was moved from south to north in the estuary. Data were collected for approximately 3 weeks at each site.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20151146","collaboration":"Prepared in cooperation with the New Jersey Department of Environmental Protection","usgsCitation":"Dickhudt, P.J., Ganju, N.K, and Montgomery, E.T., 2015, Summary of oceanographic measurements for characterizing light attenuation and sediment resuspension in the Barnegat Bay-Little Egg Harbor estuary, New Jersey, 2013: U.S. Geological Survey Open-File Report 2015–1146, 18 p., https://dx.doi.org/10.3133/ofr20151146.","productDescription":"Report: vi, 18 p.; Dataset","numberOfPages":"28","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-065792","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":307544,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2015/1146/ofr20151146.pdf","text":"Report","size":"4.59 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2015-1146"},{"id":307640,"rank":3,"type":{"id":28,"text":"Dataset"},"url":"https://dx.doi.org/10.5066/F7GB224S","text":"Oceanographic measurements for characterizing light attenuation and sediment resuspension in the Barnegat Bay-Little Egg Harbor Estuary, New Jersey, 2013","linkFileType":{"id":5,"text":"html"}},{"id":307543,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2015/1146/coverthb.jpg"}],"country":"United States","state":"New Jersey","otherGeospatial":"Barnegat Bay-Little Egg Harbor Estuary","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -73.90228271484375,\n 40.29419163838167\n ],\n [\n -74.26483154296875,\n 40.3130432088809\n ],\n [\n -74.4598388671875,\n 39.84439484396462\n ],\n [\n -74.63836669921874,\n 39.53793974517628\n ],\n [\n -74.8114013671875,\n 39.3130504637139\n ],\n [\n -74.66033935546875,\n 39.179046210512645\n ],\n [\n -74.619140625,\n 39.17052936145295\n ],\n [\n -74.58343505859374,\n 39.18117526158749\n ],\n [\n -74.39666748046874,\n 39.29392267616436\n ],\n [\n -74.2510986328125,\n 39.442556532077376\n ],\n [\n -74.102783203125,\n 39.64165260123416\n ],\n [\n -74.0423583984375,\n 39.83174093314558\n ],\n [\n -73.90228271484375,\n 40.29419163838167\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, Woods Hole Coastal and Marine Science Center
U.S. Geological Survey
384 Woods Hole Road
Quissett Campus
Woods Hole, MA 02543-1598
508-548-8700 or 508-457-2200
Or visit our Web site at:
http://woodshole.er.usgs.gov/
Over the last decades and centuries, European mountain landscapes have experienced substantial transformations. Natural and anthropogenic LULC changes (land use and land cover changes), especially agro-pastoral activities, have directly influenced the spatial organization and composition of European mountain landscapes. For the past sixty years, natural reforestation has been occurring due to a decline in both agricultural production activities and rural population. Stakeholders, to better anticipate future changes, need spatially and temporally explicit models to identify areas at risk of land change and possible abandonment. This paper presents an integrated approach combining forecasting scenarios and a LULC changes simulation model to assess where LULC changes may occur in the Pyrenees Mountains, based on historical LULC trends and a range of future socio-economic drivers. The proposed methodology considers local specificities of the Pyrenean valleys, sub-regional climate and topographical properties, and regional economic policies. Results indicate that some regions are projected to face strong abandonment, regardless of the scenario conditions. Overall, high rates of change are associated with administrative regions where land productivity is highly dependent on socio-economic drivers and climatic and environmental conditions limit intensive (agricultural and/or pastoral) production and profitability. The combination of the results for the four scenarios allows assessments of where encroachment (e.g. colonization by shrublands) and reforestation are the most probable. This assessment intends to provide insight into the potential future development of the Pyrenees to help identify areas that are the most sensitive to change and to guide decision makers to help their management decisions.
","language":"English","publisher":"Institute of Mountain Hazards and Environment","publisherLocation":"Beijing","doi":"10.1007/s11629-014-3405-6","collaboration":"Laure Vacquie - University of Toulouse, France;\nThomas Houet - University of Toulouse, France;","usgsCitation":"Vacquie, L., Houet, T., Sohl, T.L., Reker, R.R., and Sayler, K., 2015, Modelling regional land change scenarios to assess land abandonment and reforestation dynamics in the Pyrenees (France): Journal of Mountain Science, v. 12, no. 4, p. 905-920, https://doi.org/10.1007/s11629-014-3405-6.","productDescription":"16 p.","startPage":"905","endPage":"920","numberOfPages":"16","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-057948","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":471848,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://univ-tlse2.hal.science/hal-01194834","text":"External 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Drainage density patterns for these networks can be derived to characterize local landscape, bedrock and climate conditions, and further inform hydrologic and geomorphological analysis by indicating areas where too few headwater channels have been extracted. But natural drainage density patterns are not consistently available in existing hydrographic data for the United States because compilation and capture criteria historically varied, along with climate, during the period of data collection over the various terrain types throughout the country. This paper demonstrates an automated workflow that is being tested in a high-performance computing environment by the U.S. Geological Survey (USGS) to map natural drainage density patterns at the 1:24,000-scale (24K) for the conterminous United States. Hydrographic network drainage patterns may be extracted from elevation data to guide corrections for existing hydrographic network data. The paper describes three stages in this workflow including data pre-processing, natural channel extraction, and generation of drainage density patterns from extracted channels. The workflow is concurrently implemented by executing procedures on multiple subbasin watersheds within the U.S. National Hydrography Dataset (NHD). Pre-processing defines parameters that are needed for the extraction process. Extraction proceeds in standard fashion: filling sinks, developing flow direction and weighted flow accumulation rasters. Drainage channels with assigned Strahler stream order are extracted within a subbasin and simplified. Drainage density patterns are then estimated with 100-meter resolution and subsequently smoothed with a low-pass filter. The extraction process is found to be of better quality in higher slope terrains. Concurrent processing through the high performance computing environment is shown to facilitate and refine the choice of drainage density extraction parameters and more readily improve extraction procedures than conventional processing.
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Synthesis","active":true,"usgs":true}],"preferred":true,"id":564555,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Buttenfield, Barbara P.","contributorId":145538,"corporation":false,"usgs":false,"family":"Buttenfield","given":"Barbara P.","affiliations":[{"id":16144,"text":"University of Colorado-Boulder","active":true,"usgs":false}],"preferred":false,"id":564556,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70181003,"text":"70181003 - 2015 - Assessing dorsal scute microchemistry for reconstruction of shortnose sturgeon life histories","interactions":[],"lastModifiedDate":"2017-02-11T19:05:57","indexId":"70181003","displayToPublicDate":"2015-08-28T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1528,"text":"Environmental Biology of Fishes","active":true,"publicationSubtype":{"id":10}},"title":"Assessing dorsal scute microchemistry for reconstruction of shortnose sturgeon life histories","docAbstract":"The imperiled status of sturgeons worldwide places priority on the identification and protection of critical habitats. We assessed the micro-structural and micro-chemical scope for a novel calcified structure, dorsal scutes, to be used for reconstruction of past habitat use and group separation in shortnose sturgeon (Acipenser brevirostrum). Dorsal scutes contained a dual-layered structure composed of a thin multi-layered translucent zone lying dorsally above a thicker multi-layered zone. Banding in the thick multi-layered zone correlated strongly with pectoral fin spine annuli supporting the presence of chronological structuring that could contain a chemical record of past environmental exposure. Trace element profiles (Sr:Ca), collected using both wavelength dispersive electron microprobe analysis and laser ablation inductively coupled mass spectrometry, suggest scutes record elemental information useful for tracing transitions between freshwater and marine environments. Moreover, mirror-image like Sr:Ca profiles were observed across the dual-zone structuring of the scute that may indicate duplication of the microchemical profile in a single structure. Additional element:calcium ratios measured in natal regions of dorsal scutes (Ba:Ca, Mg:Ca) suggest the potential for further refinement of techniques for identification of river systems of natal origin. In combination, our results provide proof of concept that dorsal scutes possess the necessary properties to be used as structures for reconstructions of past habitat use in sturgeons. Importantly, scutes may be collected non-lethally and with less injury than current structures, like otoliths and fin spines, affording an opportunity for broader application of microchemical techniques.
","language":"English","publisher":"Springer International","doi":"10.1007/s10641-015-0438-9","usgsCitation":"Altenritter, M.E., Kinnison, M.T., Zydlewski, G., Secor, D.H., and Zydlewski, J.D., 2015, Assessing dorsal scute microchemistry for reconstruction of shortnose sturgeon life histories: Environmental Biology of Fishes, v. 98, no. 12, p. 2321-2335, https://doi.org/10.1007/s10641-015-0438-9.","productDescription":"15 p.","startPage":"2321","endPage":"2335","ipdsId":"IP-062118","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":335189,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"98","issue":"12","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationDate":"2015-08-28","publicationStatus":"PW","scienceBaseUri":"58a00067e4b099f50d3e046b","contributors":{"authors":[{"text":"Altenritter, Matthew E.","contributorId":179378,"corporation":false,"usgs":false,"family":"Altenritter","given":"Matthew","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":663415,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kinnison, Michael T.","contributorId":169617,"corporation":false,"usgs":false,"family":"Kinnison","given":"Michael","email":"","middleInitial":"T.","affiliations":[{"id":7063,"text":"University of Maine","active":true,"usgs":false}],"preferred":false,"id":663416,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Zydlewski, Gayle B.","contributorId":139211,"corporation":false,"usgs":false,"family":"Zydlewski","given":"Gayle B.","affiliations":[{"id":12606,"text":"University of Maine, Dept of Plant, Soil, & Envir Sciences","active":true,"usgs":false}],"preferred":false,"id":663161,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Secor, David H.","contributorId":179379,"corporation":false,"usgs":false,"family":"Secor","given":"David","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":663417,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Zydlewski, Joseph D. 0000-0002-2255-2303 jzydlewski@usgs.gov","orcid":"https://orcid.org/0000-0002-2255-2303","contributorId":2004,"corporation":false,"usgs":true,"family":"Zydlewski","given":"Joseph","email":"jzydlewski@usgs.gov","middleInitial":"D.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true},{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":false,"id":663418,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70156346,"text":"ofr20151157 - 2015 - Vulnerability of larval lamprey to Columbia River hydropower system operations—effects of dewatering on larval lamprey movements and survival","interactions":[],"lastModifiedDate":"2015-08-31T09:48:16","indexId":"ofr20151157","displayToPublicDate":"2015-08-27T16:30:00","publicationYear":"2015","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2015-1157","title":"Vulnerability of larval lamprey to Columbia River hydropower system operations—effects of dewatering on larval lamprey movements and survival","docAbstract":"Numbers of adult and juvenile Pacific lamprey ( Entosphenus tridentatus ) in the upper Columbia River Basin of the interior Pacific Northwest have decreased from historical levels (Close and others, 2002), raising concerns f rom State and Federal agencies and Tribal entities. In 1994, the U.S. Fish and Wildlife Service designated Pacific lamprey as a Category 2 candidate species and in 2003, the species was petitioned for listing under the Endangered Species Act. Listing consideration and potential recovery planning are significantly hindered by a lack of information on the basic biology and ecology of lampreys, including limiting factors. To date (2015), several factors that may limit lamprey production require study, including dam passage issues, contaminants, and effects on habitat.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20151157","collaboration":"Prepared in cooperation with U.S. Army Corps of Engineers","usgsCitation":"Liedtke, T.L., Weiland, L.K., and Mesa, M.G., 2015, Vulnerability of larval lamprey to Columbia River hydropower system operations—Effects of dewatering on larval lamprey movements and survival: U.S. Geological Survey Open-File Report 2015-1157, 28 p., https://dx.doi.org/10.3133/ofr20151157.","productDescription":"iv, 28 p.","numberOfPages":"36","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-066361","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":307622,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2015/1157/coverthb.jpg"},{"id":307047,"rank":1,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2015/1157/ofr20151157.pdf","text":"Report","size":"1 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2015-1157 PDF"}],"contact":"Director, Western Fisheries Research Center
U.S. Geological Survey
6505 NE 65th Street
Seattle, Washington 98115
http://wfrc.usgs.gov/
The southern San Andreas fault system (California, USA) provides an excellent natural laboratory for studying the controls on vertical crustal motions related to strike-slip deformation. Here we present geologic, geomorphic, and gravity data that provide evidence for active northeastward tilting of the Santa Rosa Mountains and southern Coachella Valley about a horizontal axis oriented parallel to the San Jacinto and San Andreas faults. The Santa Rosa fault, a strand of the San Jacinto fault zone, is a large southwest-dipping normal fault on the west flank of the Santa Rosa Mountains that displays well-developed triangular facets, narrow footwall canyons, and steep hanging-wall alluvial fans. Geologic and geomorphic data reveal ongoing footwall uplift in the southern Santa Rosa Mountains, and gravity data suggest total vertical separation of ∼5.0–6.5 km from the range crest to the base of the Clark Valley basin. The northeast side of the Santa Rosa Mountains has a gentler topographic gradient, large alluvial fans, no major active faults, and tilted inactive late Pleistocene fan surfaces that are deeply incised by modern upper fan channels. Sediments beneath the Coachella Valley thicken gradually northeast to a depth of ∼4–5 km at an abrupt boundary at the San Andreas fault. These features all record crustal-scale tilting to the northeast that likely started when the San Jacinto fault zone initiated ca. 1.2 Ma. Tilting appears to be driven by oblique shortening and loading across a northeast-dipping southern San Andreas fault, consistent with the results of a recent boundary-element modeling study.
","language":"English","publisher":"Geological Society of America","publisherLocation":"Boulder, CO","doi":"10.1130/GES01167.1","collaboration":"University of Oregon","usgsCitation":"Dorsey, R., and Langenheim, V., 2015, Crustal-scale tilting of the central Salton block, southern California: Geosphere, v. 11, no. 5, p. 1365-1383, https://doi.org/10.1130/GES01167.1.","productDescription":"19 p.","startPage":"1365","endPage":"1383","numberOfPages":"19","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-055297","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":471849,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1130/ges01167.1","text":"Publisher Index Page"},{"id":313229,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Southern California","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -123.74999999999999,\n 39.487084981687495\n ],\n [\n -120.03662109374999,\n 39.791654835253425\n ],\n [\n -119.99267578124999,\n 39.095962936305504\n ],\n [\n -114.521484375,\n 34.92197103616377\n ],\n [\n -114.36767578124999,\n 34.50655662164561\n ],\n [\n -114.08203125,\n 34.34343606848294\n ],\n [\n -114.41162109375,\n 33.99802726234877\n ],\n [\n -114.45556640625,\n 33.63291573870476\n ],\n [\n -114.7412109375,\n 33.119150226768866\n ],\n [\n -114.43359375,\n 32.99023555965106\n ],\n [\n -114.43359375,\n 32.713355353177555\n ],\n [\n -117.13623046874999,\n 32.509761735919426\n ],\n [\n -117.31201171875001,\n 32.82421110161336\n ],\n [\n -117.333984375,\n 33.063924198120645\n ],\n [\n -117.53173828125,\n 33.284619968887675\n ],\n [\n -118.10302734374999,\n 33.7243396617476\n ],\n [\n -118.38867187500001,\n 33.7243396617476\n ],\n [\n -119.3115234375,\n 34.27083595165\n ],\n [\n -119.77294921874999,\n 34.470335121217495\n ],\n [\n -120.32226562500001,\n 34.397844946449865\n ],\n [\n -120.65185546875,\n 34.50655662164561\n ],\n [\n -120.65185546875,\n 35.10193405724606\n ],\n [\n -120.89355468749999,\n 35.209721645221386\n ],\n [\n -120.89355468749999,\n 35.371135022800985\n ],\n [\n -121.33300781249999,\n 35.71083783530009\n ],\n [\n -121.904296875,\n 36.29741818650811\n ],\n [\n -121.9482421875,\n 36.5978891330702\n ],\n [\n -121.77246093750001,\n 36.84446074079564\n ],\n [\n -121.92626953124999,\n 36.98500309285596\n ],\n [\n -122.14599609375001,\n 36.949891786813296\n ],\n [\n -122.54150390625,\n 37.37015718405753\n ],\n [\n -122.56347656249999,\n 37.68382032669382\n ],\n [\n -123.02490234375,\n 37.996162679728116\n ],\n [\n -123.00292968749999,\n 38.22091976683121\n ],\n [\n -123.24462890625,\n 38.46219172306828\n ],\n [\n -123.74999999999999,\n 38.95940879245423\n ],\n [\n -123.74999999999999,\n 39.487084981687495\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"11","issue":"5","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2015-08-27","publicationStatus":"PW","scienceBaseUri":"568ba5c8e4b0e7594ee77669","contributors":{"authors":[{"text":"Dorsey, Rebecca","contributorId":140302,"corporation":false,"usgs":false,"family":"Dorsey","given":"Rebecca","affiliations":[{"id":6604,"text":"University of Oregon","active":true,"usgs":false}],"preferred":false,"id":584144,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Langenheim, Victoria E. 0000-0003-2170-5213 zulanger@usgs.gov","orcid":"https://orcid.org/0000-0003-2170-5213","contributorId":151042,"corporation":false,"usgs":true,"family":"Langenheim","given":"Victoria E.","email":"zulanger@usgs.gov","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":584143,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70159634,"text":"70159634 - 2015 - Managing more than the mean: Using quantile regression to identify factors related to large elk groups","interactions":[],"lastModifiedDate":"2018-08-09T12:31:18","indexId":"70159634","displayToPublicDate":"2015-08-27T02:30:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2163,"text":"Journal of Applied Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Managing more than the mean: Using quantile regression to identify factors related to large elk groups","docAbstract":"Though the potential for information to measurably improve management has been highlighted for several decades, in recent years the “value of information” has surfaced with increasing frequency in natural resources. However, the use of this phrase belies the fact that many in natural resources have only a limited understanding about what it actually means, how to measure it, and what to do with it. We introduce and describe several forms of the value of information in a context of the management of renewable natural resources. The value of information is discussed in terms of a potential gain in value with the addition of new information, as well as a loss in value associated with the absence of information. Value metrics are developed for uncertainty about resource status as well as resource processes and responses to management. We provide a common notation for the metrics of value, and discuss linkages of the value of information to strategic approaches such as adaptive resources management and partially observable decision processes.
","language":"English","publisher":"Wildlife Society","publisherLocation":"Bethesda, MD","doi":"10.1002/wsb.575","usgsCitation":"Williams, B.K., and Johnson, F.A., 2015, Value of information and natural resources decision-making: Wildlife Society Bulletin, v. 39, no. 3, p. 488-496, https://doi.org/10.1002/wsb.575.","productDescription":"9 p.","startPage":"488","endPage":"496","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-057835","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":499971,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doaj.org/article/2406f5a1d6ab45f2b2a000c0cab6a442","text":"External Repository"},{"id":312241,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"39","issue":"3","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationDate":"2015-08-27","publicationStatus":"PW","scienceBaseUri":"566ff658e4b09cfe53ca79d5","contributors":{"authors":[{"text":"Williams, Byron K. 0000-0001-7644-1396","orcid":"https://orcid.org/0000-0001-7644-1396","contributorId":86616,"corporation":false,"usgs":true,"family":"Williams","given":"Byron","email":"","middleInitial":"K.","affiliations":[{"id":554,"text":"Science and Decisions Center","active":true,"usgs":true}],"preferred":false,"id":582089,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Johnson, Fred A. 0000-0002-5854-3695 fjohnson@usgs.gov","orcid":"https://orcid.org/0000-0002-5854-3695","contributorId":2773,"corporation":false,"usgs":true,"family":"Johnson","given":"Fred","email":"fjohnson@usgs.gov","middleInitial":"A.","affiliations":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true},{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":582088,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70155907,"text":"70155907 - 2015 - Changes in data sharing and data reuse practices and perceptions among scientists worldwide","interactions":[],"lastModifiedDate":"2018-08-10T13:39:46","indexId":"70155907","displayToPublicDate":"2015-08-26T18:30:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2980,"text":"PLoS ONE","active":true,"publicationSubtype":{"id":10}},"title":"Changes in data sharing and data reuse practices and perceptions among scientists worldwide","docAbstract":"The incorporation of data sharing into the research lifecycle is an important part of modern scholarly debate. In this study, the DataONE Usability and Assessment working group addresses two primary goals: To examine the current state of data sharing and reuse perceptions and practices among research scientists as they compare to the 2009/2010 baseline study, and to examine differences in practices and perceptions across age groups, geographic regions, and subject disciplines. We distributed surveys to a multinational sample of scientific researchers at two different time periods (October 2009 to July 2010 and October 2013 to March 2014) to observe current states of data sharing and to see what, if any, changes have occurred in the past 3–4 years. We also looked at differences across age, geographic, and discipline-based groups as they currently exist in the 2013/2014 survey. Results point to increased acceptance of and willingness to engage in data sharing, as well as an increase in actual data sharing behaviors. However, there is also increased perceived risk associated with data sharing, and specific barriers to data sharing persist. There are also differences across age groups, with younger respondents feeling more favorably toward data sharing and reuse, yet making less of their data available than older respondents. Geographic differences exist as well, which can in part be understood in terms of collectivist and individualist cultural differences. An examination of subject disciplines shows that the constraints and enablers of data sharing and reuse manifest differently across disciplines. Implications of these findings include the continued need to build infrastructure that promotes data sharing while recognizing the needs of different research communities. Moving into the future, organizations such as DataONE will continue to assess, monitor, educate, and provide the infrastructure necessary to support such complex grand science challenges.
","language":"English","publisher":"Public Library of Science","doi":"10.1371/journal.pone.0134826","usgsCitation":"Tenopir, C., Dalton, E.D., Allard, S., Frame, M., Pjesivac, I., Birch, B., Pollock, D., and Dorsett, K., 2015, Changes in data sharing and data reuse practices and perceptions among scientists worldwide: PLoS ONE, v. 10, no. 8, e0134826.; 24 p., https://doi.org/10.1371/journal.pone.0134826.","productDescription":"e0134826.; 24 p.","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-063754","costCenters":[{"id":208,"text":"Core Science Analytics and Synthesis","active":true,"usgs":true},{"id":37226,"text":"Core Science Analytics, Synthesis, and Libraries","active":true,"usgs":true}],"links":[{"id":471851,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0134826","text":"Publisher Index Page"},{"id":324942,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"10","issue":"8","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2015-08-26","publicationStatus":"PW","scienceBaseUri":"5780ceb2e4b08116168222d0","contributors":{"authors":[{"text":"Tenopir, Carol","contributorId":172632,"corporation":false,"usgs":false,"family":"Tenopir","given":"Carol","email":"","affiliations":[],"preferred":false,"id":641968,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dalton, Elizabeth D.","contributorId":172768,"corporation":false,"usgs":false,"family":"Dalton","given":"Elizabeth","email":"","middleInitial":"D.","affiliations":[{"id":16989,"text":"University of Tennessee, Knoxville, TN","active":true,"usgs":false}],"preferred":false,"id":641969,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Allard, Suzie","contributorId":172634,"corporation":false,"usgs":false,"family":"Allard","given":"Suzie","email":"","affiliations":[],"preferred":false,"id":641970,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Frame, Mike 0000-0001-9995-2172 mike_frame@usgs.gov","orcid":"https://orcid.org/0000-0001-9995-2172","contributorId":4541,"corporation":false,"usgs":true,"family":"Frame","given":"Mike","email":"mike_frame@usgs.gov","affiliations":[{"id":208,"text":"Core Science Analytics and Synthesis","active":true,"usgs":true}],"preferred":true,"id":566732,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Pjesivac, Ivanka","contributorId":172769,"corporation":false,"usgs":false,"family":"Pjesivac","given":"Ivanka","email":"","affiliations":[{"id":12697,"text":"University of Georgia","active":true,"usgs":false}],"preferred":false,"id":641971,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Birch, Ben","contributorId":172635,"corporation":false,"usgs":false,"family":"Birch","given":"Ben","email":"","affiliations":[],"preferred":false,"id":641972,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Pollock, Danielle","contributorId":172770,"corporation":false,"usgs":false,"family":"Pollock","given":"Danielle","email":"","affiliations":[{"id":16989,"text":"University of Tennessee, Knoxville, TN","active":true,"usgs":false}],"preferred":false,"id":641973,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Dorsett, Kristina","contributorId":172771,"corporation":false,"usgs":false,"family":"Dorsett","given":"Kristina","email":"","affiliations":[{"id":16989,"text":"University of Tennessee, Knoxville, TN","active":true,"usgs":false}],"preferred":false,"id":641974,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70156264,"text":"fs20153057 - 2015 - Science from genes to landscapes","interactions":[{"subject":{"id":70156264,"text":"fs20153057 - 2015 - Science from genes to landscapes","indexId":"fs20153057","publicationYear":"2015","noYear":false,"title":"Science from genes to landscapes"},"predicate":"SUPERSEDED_BY","object":{"id":70196848,"text":"fs20183030 - 2018 - Ecosystems science: Genes to landscapes","indexId":"fs20183030","publicationYear":"2018","noYear":false,"title":"Ecosystems science: Genes to landscapes"},"id":1}],"supersededBy":{"id":70196848,"text":"fs20183030 - 2018 - Ecosystems science: Genes to landscapes","indexId":"fs20183030","publicationYear":"2018","noYear":false,"title":"Ecosystems science: Genes to landscapes"},"lastModifiedDate":"2018-05-11T14:00:47","indexId":"fs20153057","displayToPublicDate":"2015-08-26T18:15:00","publicationYear":"2015","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2015-3057","title":"Science from genes to landscapes","docAbstract":"Wherever flowering plants flourish, pollinating bees, birds, butterflies, bats, and other animals are at work, providing vital and often unnoticed services. Many of these species are in serious decline, a situation if unabated, threatens agricultural production, maintenance of natural plant communities, and other important services. Responding to this urgent challenge, the U.S. Geological Survey (USGS) is part of efforts to provide scientific information to support pollinator conservation, including the implementation of a national pollinator health strategy (http://www.usgs.gov/ecosystems/wildlife/pollinators/.)
\nThis science is but one example of how the Ecosystems Science Mission Area of the USGS conducts science to support sound management and conservation of our Nation’s biological resources. It does this through research, technical assistance, and education conducted by Cooperative Research Units and Science Centers located in nearly every State.
\nThe quality of life and economic strength in America hinges on healthy ecosystems that support living things and natural processes. Ecosystem science better enables society to understand how and why ecosystems change, to predict and forecast future changes, and to guide actions that can prevent damage to, and restore and sustain ecosystems. It is through this knowledge that informed decisions are made about natural resources that can enhance our Nation's economic and environmental well-being.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20153057","usgsCitation":"U.S. Geological Survey, 2015, Science from genes to landscapes: U.S. Geological Survey Fact Sheet 2015-3057, 4 p., https://dx.doi.org/10.3133/fs20153057.","productDescription":"4 p.; HTML Document","numberOfPages":"4","onlineOnly":"N","additionalOnlineFiles":"Y","ipdsId":"IP-068444","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":307557,"rank":1,"type":{"id":2,"text":"Additional Report Piece"},"url":"https://pubs.usgs.gov/fs/2015/3057/","text":"Report HTML","description":"HTML version of FS 2015-3057"},{"id":307558,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2015/3057/pdf/fs20153057.pdf","text":"Report","size":"1.7 MB","linkFileType":{"id":1,"text":"pdf"},"description":"FS 2015-3057 PDF"},{"id":307559,"rank":3,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2015/3057/images/coverthb.jpg"}],"contact":"Ecosystems Mission Area
http://www.usgs.gov/ecosystems/
http://www.usgs.gov/ask/
1-888-ASK-USGS (1-888-275-8747)
An extensive canal and water management system exists in south Florida to prevent flooding, replenish groundwater, and impede saltwater intrusion. The unconfined Biscayne aquifer, which underlies southeast Florida and provides water for millions of residents, interacts with the canal system. The Biscayne aquifer is composed of a highly transmissive karst limestone; therefore, canal stage and flow may be affected by production well pumping, especially in locations where production wells and canals are in proximity.
\nThe U.S. Geological Survey developed a local-scale, transient, numerical groundwater flow model of a well field in Miami-Dade County to (1) quantify relations between well-field pumping and C-2 Canal (herein referred to as the Snapper Creek Canal) leakage, (2) determine primary controls on canal leakage variability, and (3) summarize results that could simplify characterization of canal/well-field interactions in other locations. In addition to the groundwater model development, stable isotope data from water-quality samples were used to characterize the relations between production well pumping and canal leakage. The results from the groundwater model and the isotope data were used to refine the conceptual flow model of the study area.
\nThe groundwater flow model MODFLOW-NWT was used for simulating groundwater flow and quantifying interactions between pumping from the well field and Snapper Creek Canal leakage. Input data for the groundwater model included precipitation, evapotranspiration, pumping, canal stage, and regional groundwater elevation. The inverse modeling tool UCODE and groundwater data from June 2010 to July 2011 were used to calibrate the model. Parameter sensitivity analyses were performed with UCODE. Model sensitivities to geologic heterogeneity, non-laminar flow, and changes in the regional flow boundary were evaluated. The groundwater model generally fits the calibration criteria well within estimated error ranges for groundwater elevations and canal leakage values. The mean average error for heads simulated with the model was 0.19 meter, and head residuals were generally randomly distributed.
\nThe model simulated groundwater flow under ambient conditions without production well pumping to establish background leakage. Groundwater flow also was simulated with production well pumping to estimate induced leakage from the Snapper Creek Canal that occurs in response to pumping.
\nCanal leakage was quantified as a percentage of total canal leakage. The percentage of leakage during pumping increased non-linearly with pumping rate, indicating a decreasing sensitivity of canal leakage to pumping at relatively large pumping magnitudes. The results for Snapper Creek Canal may serve as an upper limit for well-field interaction with surface-water features in Miami-Dade County, given the proximity (about 50 meters) of the pumping wells in this study to the Snapper Creek Canal.
\nThe isotopic compositions of hydrogen (H) and oxygen (O) in groundwater samples were used to distinguish sources for groundwater within the study area and to assess the extent of natural mixing and pumping-induced mixing with water in the Snapper Creek Canal. Water-level data and water-quality samples were collected from monitoring well clusters, production wells, and the Snapper Creek Canal during discrete sampling events under ambient and pumping conditions. Trends in the isotope data generally follow the regional west-to-east hydraulic gradient across the study area. Data collected within the monitoring-well clusters in closest proximity to the canal indicate that groundwater/surface-water interactions are greatest within the shallow flow zone of the aquifer, especially during pumping conditions. The isotopic composition of samples collected within the study area indicates that the shallow, highly transmissive preferential flow zone receives substantial recharge from the canal. The isotope data from the production wells which are open to the deeper flow zone within the aquifer, indicate only traces of mixing with a 2H- and 18O-enriched source, suggesting little canal admixture with waters of the deeper flow zone.
\nResults from the groundwater model and the stable isotope data analysis indicate the importance of considering geologic heterogeneity when investigating the relations between pumping and canal leakage, not only at this site, but also at other sites with similar heterogeneous geology. The model results were consistently sensitive to the hydrogeologic framework and changes in hydraulic conductivities. The model and the isotope data indicate that the majority of the groundwater/surface-water interactions occurred within the shallow flow zone. A relatively lower-permeability geologic layer occurring between the shallowest and deep preferential flow zones lessens the interactions between the production wells and the canal.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20155095","collaboration":"Prepared in cooperation with the Miami-Dade Water and Sewer Department","usgsCitation":"Nemec, Katherine, Antolino, Dominick, Turtora, Michael, and Foster, Adam, 2015, Relations between well-field pumping and induced canal leakage in east-central Miami-Dade County, Florida, 2010–2011: U.S. Geological Survey Scientific Investigations Report 2015–5095, 65 p., https://dx.doi.org/10.3133/sir20155095.","productDescription":"Report: ix, 65 p.; Table","numberOfPages":"80","onlineOnly":"Y","additionalOnlineFiles":"Y","temporalStart":"2010-01-01","temporalEnd":"2011-12-31","ipdsId":"IP-056802","costCenters":[{"id":269,"text":"FLWSC-Ft. Lauderdale","active":true,"usgs":true}],"links":[{"id":307064,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2015/5095/coverthb.jpg"},{"id":307065,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2015/5095/sir20155095.pdf","text":"Report","size":"8.21 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2015-5095"},{"id":307066,"rank":3,"type":{"id":27,"text":"Table"},"url":"https://pubs.usgs.gov/sir/2015/5095/sir20155095_table1-6.xlsx","text":"Table 6","size":"69.7 KB","linkFileType":{"id":3,"text":"xlsx"},"description":"SIR 2015-5095","linkHelpText":"Summary of water-level and water-quality results for visited sites in Miami-Dade county, October 2008 through April 2011."}],"country":"United States","state":"Florida","county":"Miami-Dade County","otherGeospatial":"Snapper Creek","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -80.37700653076172,\n 25.692430237791747\n ],\n [\n -80.37700653076172,\n 25.712074241522732\n ],\n [\n -80.35160064697266,\n 25.712074241522732\n ],\n [\n -80.35160064697266,\n 25.692430237791747\n ],\n [\n -80.37700653076172,\n 25.692430237791747\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, USGS Caribbean-Florida Water Science Center
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This report presents five storage assessment units (SAUs) that have been identified as potentially suitable for geologic carbon dioxide sequestration within a 35,075-square-mile area that includes the entire onshore and State-water portions of the South Florida Basin. Platform-wide, thick successions of laterally extensive carbonates and evaporites deposited in highly cyclic depositional environments in the South Florida Basin provide several massive, porous carbonate reservoirs that are separated by evaporite seals. For each storage assessment unit identified within the basin, the areal distribution of the reservoir-seal couplet identified as suitable for geologic Carbon dioxide sequestration is presented, along with a description of the geologic characteristics that influence the potential carbon dioxide storage volume and reservoir performance. On a case-by-case basis, strategies for estimating the pore volume existing within structurally and (or) stratigraphically closed traps are also discussed. Geologic information presented in this report has been employed to calculate potential storage capacities for carbon dioxide sequestration in the storage assessment units assessed herein, although complete assessment results are not contained in this report.
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12201 Sunrise Valley Drive
National Center, MS 913
Reston, VA 20192
USGS ERP: Geologic CO2 Sequestration