Future fisheries professionals will face decision-making challenges in an increasingly complex field of fisheries management. Though fisheries students are well trained in the use of the scientific method to understand the natural world, they are rarely exposed to structured decision making (SDM) as part of an undergraduate or graduate education. Specifically, SDM encourages users (e.g., students, managers) to think critically and communicate the problem and then identify specific, measurable objectives as they relate to the problem. Next, users must think critically and creatively about management alternatives that can be used to meet the objectives—there must be more than one alternative or there is no decision to be made. Lastly, the management alternatives are evaluated with regard to how likely they are to succeed in terms of multiple, possibly completing, objectives, such as how stakeholder groups value outcomes of management actions versus monetary cost. We believe that exposure to SDM and its elements is an important part of preparing future fisheries professional to meet the challenges they may face. These challenges include reduced budgets, the growth of potentially competing natural resource interest groups, and stakeholder desire to be involved in management decisions affecting public trust resources, just to name a few.
","language":"English","publisher":"Taylor & Francis","doi":"10.1080/03632415.2016.1199233","usgsCitation":"Colvin, M., and Peterson, J., 2017, Preparing future fisheries professionals to make good decisions: Fisheries, v. 41, no. 8, p. 473-474, https://doi.org/10.1080/03632415.2016.1199233.","productDescription":"2 p.","startPage":"473","endPage":"474","ipdsId":"IP-076018","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":336347,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"41","issue":"8","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2016-08-02","publicationStatus":"PW","scienceBaseUri":"58b69a3de4b01ccd54ff3f75","contributors":{"authors":[{"text":"Colvin, Michael E. 0000-0002-6581-4764","orcid":"https://orcid.org/0000-0002-6581-4764","contributorId":171431,"corporation":false,"usgs":false,"family":"Colvin","given":"Michael E.","affiliations":[{"id":26913,"text":"Iowa State University, Ames, Iowa","active":true,"usgs":false}],"preferred":false,"id":673760,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Peterson, James T. 0000-0002-7709-8590 james_peterson@usgs.gov","orcid":"https://orcid.org/0000-0002-7709-8590","contributorId":2111,"corporation":false,"usgs":true,"family":"Peterson","given":"James","email":"james_peterson@usgs.gov","middleInitial":"T.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":673750,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70182761,"text":"70182761 - 2017 - Defining snow drought and why it matters","interactions":[],"lastModifiedDate":"2017-03-03T11:32:04","indexId":"70182761","displayToPublicDate":"2017-02-28T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3879,"text":"Eos, Earth and Space Science News","active":true,"publicationSubtype":{"id":10}},"title":"Defining snow drought and why it matters","docAbstract":"On 12 February, water resource managers at the Oroville Dam issued an evacuation warning that forced some 180,000 Californians to relocate to higher ground. The story of how conditions got to this point involves several factors, but two clearly stand out: the need to prevent water shortages during a record drought, followed by one of the wettest October–February periods in California history.
The situation at Oroville Dam highlights difficulties that many reservoir managers face in managing flood risks while simultaneously storing water to mitigate severe droughts and smaller snowpacks. Central to this difficulty is the idea of “snow drought,” a term that’s gaining traction in both scientific and lay literature.
","language":"English","publisher":"AGU Publications","doi":"10.1029/2017EO068775","collaboration":"none","usgsCitation":"Harpold, A., Dettinger, M.D., and Rajagopal, S., 2017, Defining snow drought and why it matters: Eos, Earth and Space Science News, v. 98, Webpage, https://doi.org/10.1029/2017EO068775.","productDescription":"Webpage","ipdsId":"IP-080163","costCenters":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"links":[{"id":470053,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2017eo068775","text":"Publisher Index Page"},{"id":336344,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"98","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58b69a3ee4b01ccd54ff3f79","contributors":{"authors":[{"text":"Harpold, Adrian","contributorId":184147,"corporation":false,"usgs":false,"family":"Harpold","given":"Adrian","affiliations":[],"preferred":false,"id":673650,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dettinger, Michael D. 0000-0002-7509-7332 mddettin@usgs.gov","orcid":"https://orcid.org/0000-0002-7509-7332","contributorId":149896,"corporation":false,"usgs":true,"family":"Dettinger","given":"Michael","email":"mddettin@usgs.gov","middleInitial":"D.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":673649,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rajagopal, Seshadri","contributorId":184148,"corporation":false,"usgs":false,"family":"Rajagopal","given":"Seshadri","email":"","affiliations":[],"preferred":false,"id":673651,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70189316,"text":"70189316 - 2017 - Aquatic concentrations of chemical analytes compared to ecotoxicity estimates","interactions":[],"lastModifiedDate":"2017-07-11T09:53:53","indexId":"70189316","displayToPublicDate":"2017-02-28T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3352,"text":"Science of the Total Environment","active":true,"publicationSubtype":{"id":10}},"title":"Aquatic concentrations of chemical analytes compared to ecotoxicity estimates","docAbstract":"We describe screening level estimates of potential aquatic toxicity posed by 227 chemical analytes that were measured in 25 ambient water samples collected as part of a joint USGS/USEPA drinking water plant study. Measured concentrations were compared to biological effect concentration (EC) estimates, including USEPA aquatic life criteria, effective plasma concentrations of pharmaceuticals, published toxicity data summarized in the USEPA ECOTOX database, and chemical structure-based predictions. Potential dietary exposures were estimated using a generic 3-tiered food web accumulation scenario. For many analytes, few or no measured effect data were found, and for some analytes, reporting limits exceeded EC estimates, limiting the scope of conclusions. Results suggest occasional occurrence above ECs for copper, aluminum, strontium, lead, uranium, and nitrate. Sparse effect data for manganese, antimony, and vanadium suggest that these analytes may occur above ECs, but additional effect data would be desirable to corroborate EC estimates. These conclusions were not affected by bioaccumulation estimates. No organic analyte concentrations were found to exceed EC estimates, but ten analytes had concentrations in excess of 1/10th of their respective EC: triclocarban, norverapamil, progesterone, atrazine, metolachlor, triclosan, para-nonylphenol, ibuprofen, venlafaxine, and amitriptyline, suggesting more detailed characterization of these analytes.
","language":"English","publisher":"ScienceDirect","doi":"10.1016/j.scitotenv.2016.06.234","usgsCitation":"Kostich, M.S., Flick, R.W., Angela L. Batt, Mash, H.E., Boone, J.S., Furlong, E.T., Kolpin, D.W., and Glassmeyer, S., 2017, Aquatic concentrations of chemical analytes compared to ecotoxicity estimates: Science of the Total Environment, v. 579, p. 1649-1657, https://doi.org/10.1016/j.scitotenv.2016.06.234.","productDescription":"9 p. ","startPage":"1649","endPage":"1657","ipdsId":"IP-061630","costCenters":[{"id":351,"text":"Iowa Water Science Center","active":true,"usgs":true}],"links":[{"id":470054,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://www.ncbi.nlm.nih.gov/pmc/articles/6145067","text":"External Repository"},{"id":343556,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"579","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5965b210e4b0d1f9f05b37d8","contributors":{"authors":[{"text":"Kostich, Mitchell S.","contributorId":194444,"corporation":false,"usgs":false,"family":"Kostich","given":"Mitchell","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":704161,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Flick, Robert W.","contributorId":194447,"corporation":false,"usgs":false,"family":"Flick","given":"Robert","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":704162,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Angela L. Batt","contributorId":184072,"corporation":false,"usgs":false,"family":"Angela L. Batt","affiliations":[],"preferred":false,"id":704163,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Mash, Heath E.","contributorId":184073,"corporation":false,"usgs":false,"family":"Mash","given":"Heath","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":704164,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Boone, J. Scott","contributorId":178697,"corporation":false,"usgs":false,"family":"Boone","given":"J.","email":"","middleInitial":"Scott","affiliations":[],"preferred":false,"id":704165,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Furlong, Edward T. 0000-0002-7305-4603 efurlong@usgs.gov","orcid":"https://orcid.org/0000-0002-7305-4603","contributorId":740,"corporation":false,"usgs":true,"family":"Furlong","given":"Edward","email":"efurlong@usgs.gov","middleInitial":"T.","affiliations":[{"id":503,"text":"Office of Water Quality","active":true,"usgs":true},{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true},{"id":5046,"text":"Branch of Analytical Serv (NWQL)","active":true,"usgs":true},{"id":27111,"text":"National Water Quality Program","active":true,"usgs":true}],"preferred":true,"id":704166,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Kolpin, Dana W. 0000-0002-3529-6505 dwkolpin@usgs.gov","orcid":"https://orcid.org/0000-0002-3529-6505","contributorId":1239,"corporation":false,"usgs":true,"family":"Kolpin","given":"Dana","email":"dwkolpin@usgs.gov","middleInitial":"W.","affiliations":[{"id":351,"text":"Iowa Water Science Center","active":true,"usgs":true}],"preferred":true,"id":704118,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Glassmeyer, Susan T.","contributorId":72924,"corporation":false,"usgs":true,"family":"Glassmeyer","given":"Susan T.","affiliations":[],"preferred":false,"id":704167,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70192276,"text":"70192276 - 2017 - Potential concerns with analytical Methods Used for the detection of Batrachochytrium salamandrivorans from archived DNA of amphibian swab samples, Oregon, USA","interactions":[],"lastModifiedDate":"2021-03-22T15:38:36.403361","indexId":"70192276","displayToPublicDate":"2017-02-28T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1536,"text":"Environmental Entomology","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Potential concerns with analytical Methods Used for the detection of Batrachochytrium salamandrivorans from archived DNA of amphibian swab samples, Oregon, USA","title":"Potential concerns with analytical Methods Used for the detection of Batrachochytrium salamandrivorans from archived DNA of amphibian swab samples, Oregon, USA","docAbstract":"Taxonomic identification of pollen has historically been accomplished via light microscopy but requires specialized knowledge and reference collections, particularly when identification to lower taxonomic levels is necessary. Recently, next-generation sequencing technology has been used as a cost-effective alternative for identifying bee-collected pollen; however, this novel approach has not been tested on a spatially or temporally robust number of pollen samples. Here, we compare pollen identification results derived from light microscopy and DNA sequencing techniques with samples collected from honey bee colonies embedded within a gradient of intensive agricultural landscapes in the Northern Great Plains throughout the 2010–2011 growing seasons. We demonstrate that at all taxonomic levels, DNA sequencing was able to discern a greater number of taxa, and was particularly useful for the identification of infrequently detected species. Importantly, substantial phenological overlap did occur for commonly detected taxa using either technique, suggesting that DNA sequencing is an appropriate, and enhancing, substitutive technique for accurately capturing the breadth of bee-collected species of pollen present across agricultural landscapes. We also show that honey bees located in high and low intensity agricultural settings forage on dissimilar plants, though with overlap of the most abundantly collected pollen taxa. We highlight practical applications of utilizing sequencing technology, including addressing ecological issues surrounding land use, climate change, importance of taxa relative to abundance, and evaluating the impact of conservation program habitat enhancement efforts.
","language":"English","publisher":"Oxford University Press","usgsCitation":"Iwanowicz, D.D., Schill, W.B., Olson, D.H., Adams, M.J., Densmore, C.L., Cornman, R.S., Adams, C.R., Figiel, C., Anderson, C.W., Blaustein, A.R., and Chestnut, T., 2017, Potential concerns with analytical Methods Used for the detection of Batrachochytrium salamandrivorans from archived DNA of amphibian swab samples, Oregon, USA: Environmental Entomology, v. 48, no. 2, p. 352-355.","productDescription":"4 p.","startPage":"352","endPage":"355","ipdsId":"IP-067758","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true},{"id":365,"text":"Leetown Science Center","active":true,"usgs":true},{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"links":[{"id":349654,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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J. 0000-0001-8844-042X mjadams@usgs.gov","orcid":"https://orcid.org/0000-0001-8844-042X","contributorId":3133,"corporation":false,"usgs":false,"family":"Adams","given":"M.","email":"mjadams@usgs.gov","middleInitial":"J.","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true},{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true}],"preferred":true,"id":715105,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Densmore, Christine L. 0000-0001-6440-0781 cdensmore@usgs.gov","orcid":"https://orcid.org/0000-0001-6440-0781","contributorId":4560,"corporation":false,"usgs":true,"family":"Densmore","given":"Christine","email":"cdensmore@usgs.gov","middleInitial":"L.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":715109,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Cornman, Robert S. 0000-0001-9511-2192 rcornman@usgs.gov","orcid":"https://orcid.org/0000-0001-9511-2192","contributorId":5356,"corporation":false,"usgs":true,"family":"Cornman","given":"Robert","email":"rcornman@usgs.gov","middleInitial":"S.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true},{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":812612,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Adams, Cynthia R. 0000-0003-4383-530X cradams@usgs.gov","orcid":"https://orcid.org/0000-0003-4383-530X","contributorId":176965,"corporation":false,"usgs":true,"family":"Adams","given":"Cynthia","email":"cradams@usgs.gov","middleInitial":"R.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":715106,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Figiel, Chester","contributorId":198103,"corporation":false,"usgs":false,"family":"Figiel","given":"Chester","affiliations":[],"preferred":false,"id":715110,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Anderson, Chauncey W. 0000-0002-1016-3781 chauncey@usgs.gov","orcid":"https://orcid.org/0000-0002-1016-3781","contributorId":140160,"corporation":false,"usgs":true,"family":"Anderson","given":"Chauncey","email":"chauncey@usgs.gov","middleInitial":"W.","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":true,"id":715107,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Blaustein, Andrew R","contributorId":198102,"corporation":false,"usgs":false,"family":"Blaustein","given":"Andrew","email":"","middleInitial":"R","affiliations":[],"preferred":false,"id":715108,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Chestnut, Tara","contributorId":196413,"corporation":false,"usgs":false,"family":"Chestnut","given":"Tara","affiliations":[],"preferred":false,"id":715112,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}} ,{"id":70195815,"text":"70195815 - 2017 - Contaminants of emerging concern in the Great Lakes Basin: A report on sediment, water, and fish tissue chemistry collected in 2010-2012","interactions":[],"lastModifiedDate":"2023-01-20T16:13:03.85333","indexId":"70195815","displayToPublicDate":"2017-02-28T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":1,"text":"Federal Government Series"},"seriesTitle":{"id":10,"text":"Biological Technical Publication","active":false,"publicationSubtype":{"id":1}},"seriesNumber":"BTP-R3017-2013","title":"Contaminants of emerging concern in the Great Lakes Basin: A report on sediment, water, and fish tissue chemistry collected in 2010-2012","docAbstract":"Despite being detected at low levels in surface waters and sediments across the United States, contaminants of emerging concern (CECs) in the Great Lakes Basin are not well characterized in terms of spatial and temporal occurrence. Additionally, although the detrimental effects of exposure to CECs on fish and wildlife have been documented for many CECs in laboratory studies, we do not adequately understand the implications of the presence of CECs in the environment. Based on limited studies using current environmentally relevant concentrations of chemicals, however, risks to fish and wildlife are evident. As a result, there is an increasing urgency to address data gaps that are vital to resource management decisions. The U.S. Fish and Wildlife Service, in collaboration with the U.S. Geological Survey, is leading a Great Lakes Basin-wide evaluation of CECs (CEC Project) with the objectives to (a) characterize the spatial and temporal distribution of CECs; (b) evaluate risks to fish and wildlife resources; and (c) develop tools to aid resource managers in detecting, averting, or minimizing the ecological consequences to fish and wildlife that are exposed to CECs. This report addresses objective (a) of the CEC Project, summarizing sediment and water chemistry data collected from 2010 to 2012 and fish liver tissue chemistry data collected in 2012; characterizes the sampling locations with respect to potential sources of CECs in the landscape; and provides an initial interpretation of the variation in CEC concentrations relative to the identified sources. Data collected during the first three years of our study, which included 12 sampling locations and analysis of 134 chemicals, indicate that contaminants were more frequently detected in sediment compared to water. Chemicals classified as alkyphenols, flavors/ fragrances, hormones, PAHs, and sterols had higher average detection frequencies in sediment compared to water, while the opposite was observed for pesticides, pharmaceuticals, and plasticizers/flame retardants. The St. Louis River and Maumee River sampling locations had the most CEC detections in water and sediment, relative to other sites, as well as the largest number of maximum detected concentrations across all sites in the Basin. No consistent temporal CEC occurrence patterns were observed at locations sampled multiple times each day. Most appearances and increases in chemical concentrations in sediments occurred at sites immediately downstream from wastewater treatment plants and at sites with predominantly developed land use. The location with the most observed appearances and increases was the St. Louis River. Perfluorinated compounds were commonly detected in fish liver tissues with detections in 100% of both benthic and pelagic species. The occurrence of these chemicals in liver tissue of benthic and pelagic species was generally similar. Abstract
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Service, Alaska Maritime National Wildlife Refuge","active":true,"usgs":false}],"preferred":false,"id":730069,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bowman, Sarah R.","contributorId":152219,"corporation":false,"usgs":false,"family":"Bowman","given":"Sarah","email":"","middleInitial":"R.","affiliations":[{"id":6987,"text":"U.S. Fish and Wildlife Sevice","active":true,"usgs":false}],"preferred":false,"id":730070,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Brigham, Mark E. 0000-0001-7412-6800 mbrigham@usgs.gov","orcid":"https://orcid.org/0000-0001-7412-6800","contributorId":1840,"corporation":false,"usgs":true,"family":"Brigham","given":"Mark","email":"mbrigham@usgs.gov","middleInitial":"E.","affiliations":[{"id":392,"text":"Minnesota Water Science Center","active":true,"usgs":true}],"preferred":true,"id":730071,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Elliott, Sarah M. 0000-0002-1414-3024 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Lafayette Road N., St. Paul, MN 55155","active":true,"usgs":false}],"preferred":false,"id":730079,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Jorgenson, Zachary G.","contributorId":69476,"corporation":false,"usgs":false,"family":"Jorgenson","given":"Zachary","email":"","middleInitial":"G.","affiliations":[{"id":13317,"text":"Saint Cloud State University","active":true,"usgs":false}],"preferred":false,"id":730080,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Lee, Kathy 0000-0002-7683-1367 klee@usgs.gov","orcid":"https://orcid.org/0000-0002-7683-1367","contributorId":2538,"corporation":false,"usgs":true,"family":"Lee","given":"Kathy","email":"klee@usgs.gov","affiliations":[{"id":392,"text":"Minnesota Water Science Center","active":true,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"preferred":true,"id":730081,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Moore, Jeremy N.","contributorId":138669,"corporation":false,"usgs":false,"family":"Moore","given":"Jeremy","email":"","middleInitial":"N.","affiliations":[{"id":6678,"text":"U.S. Fish and Wildlife Service, Alaska Maritime National Wildlife Refuge","active":true,"usgs":false}],"preferred":false,"id":730082,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Tucker, William A.","contributorId":202894,"corporation":false,"usgs":false,"family":"Tucker","given":"William","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":730083,"contributorType":{"id":1,"text":"Authors"},"rank":12}]}} ,{"id":70182452,"text":"sir20165176 - 2017 - Trends in the quality of water in New Jersey streams, water years 1971–2011","interactions":[],"lastModifiedDate":"2017-02-27T10:45:09","indexId":"sir20165176","displayToPublicDate":"2017-02-27T10:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2016-5176","title":"Trends in the quality of water in New Jersey streams, water years 1971–2011","docAbstract":"In a study conducted by the U.S. Geological Survey in cooperation with the New Jersey Department of Environmental Protection and the Delaware River Basin Commission, trend tests were conducted on selected water-quality characteristics measured at stations on streams in New Jersey during selected periods over water years 1971‒2011. Tests were conducted on 3 nutrients (total nitrogen, filtered nitrate plus nitrite, and total phosphorus) at 28 water-quality stations. At 4 of these stations, tests were also conducted on 3 measures of major ions (specific conductance, filtered chloride, and total dissolved solids).
Two methods were used to identify trends—Weighted Regressions on Time, Discharge, and Season (WRTDS) models and seasonal rank-sum tests. For this report, the use of WRTDS models included the use of the WRTDS Bootstrap Test (WBT). WRTDS models identified trends in flow-normalized annual concentrations and flow-normalized annual fluxes over water years 1980‒2011 and 2000‒11 for each nutrient, filtered chloride, and total dissolved solids. WRTDS models were developed for each nutrient at the 20 or 21 stations at which streamflow was measured or estimated. Trends in nutrient concentration were reported for these stations; trends in nutrient fluxes were reported only for 15–17 of these stations.
The results of WRTDS models for water years 1980‒2011 identified more stations with downward trends in concentrations of either total nitrogen or total phosphorus than upward trends. For total nitrogen, there were downward trends at 9 stations and an upward trend at 1 station. For total phosphorus, there were downward trends at 8 stations and an upward trend at 1 station. For filtered nitrate plus nitrite, there were downward trends at 6 stations and upward trends at 6 stations. The result of the trend test in flux for a selected nutrient at a selected station (downward trend, no trend, or upward trend) usually matched the trend result in concentration.
Seasonal rank-sum tests, the second method used, identified step trends in water-quality measured in different decades—1970s, 1980s, 1990s, and 2000s. Tests were conducted on all nutrients at 28 stations and on all measures of major ions at the 4 selected stations. Results of seasonal rank-sum tests between the 1980s and the 2000s identified more stations with downward trends in concentrations of total nitrogen (14) than stations with upward trends (2) and more stations with downward trends in concentrations of total phosphorus (18) than stations with upward trends (1).
A combined dataset of trend results for concentrations over water years 1980‒2011 was created from the results of the two tests for the period. Results of WRTDS models were included in this combined dataset, if available. Otherwise, the results of the seasonal rank-sum tests between water-quality characteristics measured in the 1980s and 2000s were included.
Trend results over water years 1980‒2011 in the combined dataset show that few of the 28 stations had upward trends in concentrations of either total nitrogen or total phosphorus. There were only 2 stations with upward trends in total nitrogen concentration and 1 station with an upward trend in total phosphorus concentration. Results for filtered nitrate plus nitrite show about the same number of stations with upward trends (9) as stations with downward trends (7). Results for all measures of major ions show upward trends at the four stations tested.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20165176","collaboration":"Prepared in cooperation with the New Jersey Department of Environmental Protection and the Delaware River Basin Commission","usgsCitation":"Hickman, R.E., and Hirsch, R.M., 2017, Trends in the quality of water in New Jersey streams, water years 1971–2011: U.S. Geological Survey Scientific Investigations Report 2016–5176, 58 p., https://doi.org/10.3133/sir20165176.","productDescription":"Report: vi, 58 p.; Data release","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-066358","costCenters":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"links":[{"id":336067,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2016/5176/coverthb.jpg"},{"id":336068,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2016/5176/sir20165176.pdf","text":"Report","size":"7.38 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Jersey\",\"nation\":\"USA \"}}]}","contact":"Director New Jersey Water Science Center
U.S. Geological Survey
3450 Princeton Pike, Suite 110
Lawrenceville, NJ 08648
http://nj.usgs.gov/
The two nonnative invasive bigheaded carp species (bighead carp Hypophthalmichthys nobilis and silver carp H. molitrix) that were accidentally released in the 1970s have spread widely into the rivers and waterways of the Mississippi River Basin. First detected in the lower reaches of the Illinois Waterway (IWW, the combined Illinois River-Des Plaines River-Chicago Area Waterway System) in the 1990s, bighead and silver carps moved quickly upstream, approaching the Chicago Area Waterway System. The potential of substantial negative ecological and economic impact to the Great Lakes from the presence of these species is a concern. However, since 2006, the population front of bigheaded carps has remained in the vicinity of Joliet, Illinois, near river mile 278. This reach of the IWW is characterized by stark changes in habitat, water quality, and food resources as the waterway transitions from a primarily agricultural landscape to a metropolitan and industrial canal system. This report describes a 2015 plan for sampling the IWW to establish water-quality conditions that might be contributing to the apparent stalling of the population front of bigheaded carps in this reach. A detailed description of the study plan, Lagrangian-style sampling approach, selected analytes, sampling methods and protocols are provided. Hydrographs from streamflow-gaging stations show IWW conditions during the 2015 sampling runs.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20171019","collaboration":"Prepared in cooperation with the U.S. Environmental Protection Agency- Great Lakes Restoration Initiative","usgsCitation":"Duncker, J.J., and Terrio, P.J., 2017, Water-quality sampling plan for evaluating the distribution of bigheaded carps in the Illinois Waterway: U.S. Geological Survey Open File Report 2017–1019, 9 p., https://doi.org/10.3133/ofr20171019.\n\n","productDescription":"iv, 9 p.","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-077191","costCenters":[{"id":344,"text":"Illinois Water Science Center","active":true,"usgs":true}],"links":[{"id":336228,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2017/1019/coverthb.jpg"},{"id":336229,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2017/1019/ofr20171019.pdf","text":"Report","size":"7.68 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2017-1019"}],"country":"United States","state":"Illinois","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -91.527099609375,\n 38.64261790634527\n ],\n [\n -87.506103515625,\n 38.64261790634527\n ],\n [\n -87.506103515625,\n 42.48830197960227\n ],\n [\n -91.527099609375,\n 42.48830197960227\n ],\n [\n -91.527099609375,\n 38.64261790634527\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, Illinois Water Science Center
405 N. Goodwin Avenue
Urbana, IL 61801-2347
Phone: (217) 328-8747
http://il.water.usgs.gov/
The processes that affect water chemistry as the water flows from recharge areas through breccia-pipe uranium deposits in the Grand Canyon region of the southwestern United States are not well understood. Pigeon Spring had elevated uranium in 1982 (44 μg/L), compared to other perched springs (2.7–18 μg/L), prior to mining operations at the nearby Pigeon Mine. Perched groundwater springs in an area around the Pigeon Mine were sampled between 2009 and 2015 and compared with material from the Pigeon Mine to better understand the geochemistry and hydrology of the area. Two general groups of perched groundwater springs were identified from this study; one group is characterized by calcium sulfate type water, low uranium activity ratio 234U/238U (UAR) values, and a mixture of water with some component of modern water, and the other group by calcium-magnesium sulfate type water, higher UAR values, and radiocarbon ages indicating recharge on the order of several thousand years ago. Multivariate statistical principal components analysis of Pigeon Mine and spring samples indicate Cu, Pb, As, Mn, and Cd concentrations distinguished mining-related leachates from perched groundwater springs. The groundwater potentiometric surface indicates that perched groundwater at Pigeon Mine would likely flow toward the northwest away from Pigeon Spring. The geochemical analysis of the water, sediment and rock samples collected from the Snake Gulch area indicate that the elevated uranium at Pigeon Spring is likely related to a natural source of uranium upgradient from the spring and not likely related to the Pigeon Mine.
","language":"English","publisher":"Springer","publisherLocation":"Berlin","doi":"10.1007/s10040-016-1494-8","usgsCitation":"Beisner, K.R., Paretti, N.V., Tillman, F.D., Naftz, D.L., Bills, D.J., Walton-Day, K., and Gallegos, T.J., 2017, Geochemistry and hydrology of perched groundwater springs: assessing elevated uranium concentrations at Pigeon Spring relative to nearby Pigeon Mine, Arizona (USA): Hydrogeology Journal, v. 25, no. 2, p. 539-556, https://doi.org/10.1007/s10040-016-1494-8.","productDescription":"18 p.","startPage":"539","endPage":"556","ipdsId":"IP-076753","costCenters":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":470055,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s10040-016-1494-8","text":"Publisher Index 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David L., Bills Donald J., Walton-Day Katie, Gallegos Tanya J.","journalName":"Hydrogeology Journal","publicationDate":"11/23/2016","auditedOn":"2/15/2017","publiclyAccessibleDate":"11/23/2016"},"contributors":{"authors":[{"text":"Beisner, Kimberly R. 0000-0002-2077-6899 kbeisner@usgs.gov","orcid":"https://orcid.org/0000-0002-2077-6899","contributorId":2733,"corporation":false,"usgs":true,"family":"Beisner","given":"Kimberly","email":"kbeisner@usgs.gov","middleInitial":"R.","affiliations":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true},{"id":472,"text":"New Mexico Water Science Center","active":true,"usgs":true}],"preferred":true,"id":673392,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Paretti, Nicholas V. 0000-0003-2178-4820 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surface waters impacted by unconventional oil and gas wastewater revealed by metagenomics","interactions":[],"lastModifiedDate":"2017-06-26T12:30:24","indexId":"70188849","displayToPublicDate":"2017-02-27T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3352,"text":"Science of the Total Environment","active":true,"publicationSubtype":{"id":10}},"title":"Shifts in microbial community structure and function in surface waters impacted by unconventional oil and gas wastewater revealed by metagenomics","docAbstract":"Unconventional oil and gas (UOG) production produces large quantities of wastewater with complex geochemistry and largely uncharacterized impacts on surface waters. In this study, we assessed shifts in microbial community structure and function in sediments and waters upstream and downstream from a UOG wastewater disposal facility. To do this, quantitative PCR for 16S rRNA and antibiotic resistance genes along with metagenomic sequencing were performed. Elevated conductivity and markers of UOG wastewater characterized sites sampled downstream from the disposal facility compared to background sites. Shifts in overall high level functions and microbial community structure were observed between background sites and downstream sediments. Increases in Deltaproteobacteria and Methanomicrobia and decreases in Thaumarchaeota were observed at downstream sites. Genes related to dormancy and sporulation and methanogenic respiration were 18–86 times higher at downstream, impacted sites. The potential for these sediments to serve as reservoirs of antimicrobial resistance was investigated given frequent reports of the use of biocides to control the growth of nuisance bacteria in UOG operations. A shift in resistance profiles downstream of the UOG facility was observed including increases in acrB and mexB genes encoding for multidrug efflux pumps, but not overall abundance of resistance genes. The observed shifts in microbial community structure and potential function indicate changes in respiration, nutrient cycling, and markers of stress in a stream impacted by UOG waste disposal operations.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.scitotenv.2016.12.079","usgsCitation":"Fahrenfeld, N., Reyes, H.D., Eramo, A., Akob, D.M., Mumford, A.C., and Cozzarelli, I.M., 2017, Shifts in microbial community structure and function in surface waters impacted by unconventional oil and gas wastewater revealed by metagenomics: Science of the Total Environment, no. 580, p. 1205-1213, https://doi.org/10.1016/j.scitotenv.2016.12.079.","productDescription":"9 p. ","startPage":"1205","endPage":"1213","ipdsId":"IP-080176","costCenters":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"links":[{"id":342881,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"West Virginia","city":"Fayetteville ","otherGeospatial":"Wolf Creek","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -81.30706787109375,\n 37.95556802659207\n ],\n [\n -81.02691650390625,\n 37.95556802659207\n ],\n [\n -81.02691650390625,\n 38.09998264736481\n ],\n [\n -81.30706787109375,\n 38.09998264736481\n ],\n [\n -81.30706787109375,\n 37.95556802659207\n ]\n ]\n ]\n }\n }\n ]\n}","issue":"580","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59521d20e4b062508e3c3671","contributors":{"authors":[{"text":"Fahrenfeld, N.L.","contributorId":193506,"corporation":false,"usgs":false,"family":"Fahrenfeld","given":"N.L.","affiliations":[],"preferred":false,"id":700667,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Reyes, Hannah Delos","contributorId":193507,"corporation":false,"usgs":false,"family":"Reyes","given":"Hannah","email":"","middleInitial":"Delos","affiliations":[],"preferred":false,"id":700668,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Eramo, Alessia","contributorId":193508,"corporation":false,"usgs":false,"family":"Eramo","given":"Alessia","email":"","affiliations":[],"preferred":false,"id":700669,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Akob, Denise M. 0000-0003-1534-3025 dakob@usgs.gov","orcid":"https://orcid.org/0000-0003-1534-3025","contributorId":4980,"corporation":false,"usgs":true,"family":"Akob","given":"Denise","email":"dakob@usgs.gov","middleInitial":"M.","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true},{"id":5058,"text":"Office of the Chief Scientist for Water","active":true,"usgs":true}],"preferred":true,"id":700666,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Mumford, Adam C. 0000-0002-8082-8910 amumford@usgs.gov","orcid":"https://orcid.org/0000-0002-8082-8910","contributorId":171791,"corporation":false,"usgs":true,"family":"Mumford","given":"Adam","email":"amumford@usgs.gov","middleInitial":"C.","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":700670,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Cozzarelli, Isabelle M. 0000-0002-5123-1007 icozzare@usgs.gov","orcid":"https://orcid.org/0000-0002-5123-1007","contributorId":1693,"corporation":false,"usgs":true,"family":"Cozzarelli","given":"Isabelle","email":"icozzare@usgs.gov","middleInitial":"M.","affiliations":[{"id":49175,"text":"Geology, Energy & Minerals Science Center","active":true,"usgs":true},{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":700671,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70179200,"text":"fs20163100 - 2017 - Water resources of Iberia Parish, Louisiana","interactions":[],"lastModifiedDate":"2017-02-27T08:45:53","indexId":"fs20163100","displayToPublicDate":"2017-02-24T16:30:00","publicationYear":"2017","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":"2016-3100","title":"Water resources of Iberia Parish, Louisiana","docAbstract":"Information concerning the availability, use, and quality of water in Iberia Parish, Louisiana, is critical for proper water-resource management. This fact sheet summarizes the availability, past and current use, use trends, and water quality from groundwater and surface-water sources in the parish for water managers, parish residents, and others to assist in stewardship of this vital resource. Previously published reports and data stored in the U.S. Geological Survey’s National Water Information System are the primary sources of the information presented here.
In 2010, about 31.24 million gallons per day (Mgal/d) of water were withdrawn in Iberia Parish, Louisiana, including about 23.13 Mgal/d from groundwater sources and 8.11 Mgal/d from surface-water sources. Withdrawals for public supply and industrial use each accounted for about 32 percent of the total water withdrawn. Other water-use categories included rural domestic, livestock, rice irrigation, general irrigation, and aquaculture. Water-use data collected at 5-year intervals from 1960 to 2010 indicated that water withdrawals in Iberia Parish peaked at about 58.57 Mgal/d in 1975.
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Lower Mississippi-Gulf Water Science Center
U.S. Geological Survey
3535 S. Sherwood Forest Blvd.
Suite 120
Baton Rouge, LA 70816
https://la.water.usgs.gov/
Information concerning the availability, use, and quality of water in Concordia Parish, Louisiana, is critical for proper water-supply management. The purpose of this fact sheet is to present information that can be used by water managers, parish residents, and others for stewardship of this vital resource. Information on the availability, past and current use, use trends, and water quality from groundwater and surface-water sources in the parish is presented. Previously published reports and data stored in the U.S. Geological Survey’s National Water Information System are the primary sources of the information presented here.
In 2010, over 50 million gallons per day (Mgal/d) of water were withdrawn in Concordia Parish, including about 28.7 Mgal/d from groundwater sources and 22.3 Mgal/d from surface-water sources. Withdrawals for agricultural use, composed of livestock, rice irrigation, general irrigation, and aquaculture accounted for about 77 percent (39.2 Mgal/d) of the total water withdrawn. Other categories of use included public supply, power generation, and rural domestic. Water-use data collected at 5-year intervals from 1960 to 2010 indicated that water withdrawals peaked in 2010.
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Lower Mississippi-Gulf Water Science Center
U.S. Geological Survey
3535 S. Sherwood Forest Blvd.
Suite 120
Baton Rouge, LA 70816
https://la.water.usgs.gov/
Information concerning the availability, use, and quality of water in Catahoula Parish, Louisiana, is critical for proper water-supply management. The purpose of this fact sheet is to present information that can be used by water managers, parish residents, and others for stewardship of this vital resource. Information on the availability, past and current use, use trends, and water quality from groundwater and surface-water sources in the parish is presented. Previously published reports and data stored in the U.S. Geological Survey’s National Water Information System are the primary sources of the information presented here.
In 2010, 30.01 million gallons per day (Mgal/d) of water were withdrawn in Catahoula Parish, Louisiana, including about 22.63 Mgal/d from groundwater sources and 7.38 Mgal/d from surface-water sources. Withdrawals for agricultural use, composed of aquaculture, general irrigation, livestock, and rice irrigation, accounted for about 93 percent (28.05 Mgal/d) of the total water withdrawn. Other categories of use included public supply and rural domestic. Water-use data collected at 5-year intervals from 1960 to 2010 indicated that water withdrawals peaked in 2000 at 30.99 Mgal/d.
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Lower Mississippi-Gulf Water Science Center
U.S. Geological Survey
3535 S. Sherwood Forest Blvd.
Suite 120
Baton Rouge, LA 70816
https://la.water.usgs.gov/
Using a geology-based assessment methodology, the U.S. Geological Survey estimated undiscovered, technically recoverable mean resources of 4.5 trillion cubic feet of coalbed gas in the Kalahari Basin Province of Botswana, Zambia, and Zimbabwe, Africa.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20173003","usgsCitation":"Brownfield, M.E., Schenk, C.J., Klett, T.R., Tennyson, M.E., Mercier, T.J., Gaswirth, S.B., Marra, K.R., Hawkins, S.J., Finn, T.M., Le, P.A., and Leathers-Miller, H.M., 2017, Assessment of coalbed gas resources of the Kalahari Basin Province of Botswana, Zimbabwe, and Zambia, Africa, 2016: U.S. Geological Survey Fact Sheet 2017–3003, 2 p., https://doi.org/10.3133/fs20173003.\n","productDescription":"2 p.","onlineOnly":"N","ipdsId":"IP-080699","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":335876,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2017/3003/fs20173003.pdf","text":"Report","size":"380 kB","linkFileType":{"id":1,"text":"pdf"},"description":"FS 2017-3003"},{"id":335874,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2017/3003/coverthb.jpg"}],"country":"Botswana, Zambia, Zimbabwe","otherGeospatial":"Kalahari Basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n 16,\n -14\n ],\n [\n 35,\n -14\n ],\n [\n 35,\n -30\n ],\n [\n 16,\n -30\n ],\n [\n 16,\n -14\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, Central Energy Resources Science Center
U.S. Geological Survey
Box 25046, MS-939
Denver Federal Center
Denver, CO 80225-0046
The magmatic, tectonic, and topographic evolution of what is now the northern Great Basin remains controversial, notably the temporal and spatial relation between magmatism and extensional faulting. This controversy is exemplified in the northern Toiyabe Range of central Nevada, where previous geologic mapping suggested the presence of a caldera that sourced the late Eocene (34.0 mega-annum [Ma]) tuff of Hall Creek. This region was also inferred to be the locus of large-magnitude middle Tertiary extension (more than 100 percent strain) localized along the Bernd Canyon detachment fault, and to be the approximate location of a middle Tertiary paleodivide that separated east and west-draining paleovalleys. Geologic mapping, 40Ar/39Ar dating, and geochemical analyses document the geologic history and extent of the Hall Creek caldera, define the regional paleotopography at the time it formed, and clarify the timing and kinematics of post-caldera extensional faulting. During and after late Eocene volcanism, the northern Toiyabe Range was characterized by an east-west trending ridge in the area of present-day Mount Callaghan, probably localized along a Mesozoic anticline. Andesite lava flows erupted around 35–34 Ma ponded hundreds of meters thick in the erosional low areas surrounding this structural high, particularly in the Simpson Park Mountains. The Hall Creek caldera formed ca. 34.0 Ma during eruption of the approximately 400 cubic kilometers (km3) tuff of Hall Creek, a moderately crystal-rich rhyolite (71–77 percent SiO2) ash-flow tuff. Caldera collapse was piston-like with an intact floor block, and the caldera filled with thick (approximately 2,600 meters) intracaldera tuff and interbedded breccia lenses shed from the caldera walls. The most extensive exposed megabreccia deposits are concentrated on or close to the caldera floor in the southwestern part of the caldera. Both silicic and intermediate post-caldera lavas were locally erupted within 400 thousand years of the main eruption, and for the next approximately 10 million years sedimentary rocks and distal tuffs sourced from calderas farther west ponded in the caldera basin surrounding low areas nearby. Patterns of tuff deposition indicate that the area was characterized by east-west trending paleovalleys and ridges in the late Eocene and Oligocene, which permitted tuffs to disperse east-west but limited their north-south extent. Although a low-angle fault contact of limited extent separates Cambrian and Ordovician strata in the southwestern part of the study area, there is no evidence that this fault cuts overlying Tertiary rocks. Total extensional strain across the caldera is on the order of 15 percent, and there is no evidence for progressive tilting of 34–25 Ma rocks that would indicate protracted Eocene–Oligocene extension. The caldera appears to have been tilted as an intact block after 25 Ma, probably during the middle Miocene extensional faulting well documented to the north and south of the study area.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/pp1832","collaboration":"Prepared in cooperation with the Nevada Bureau of Mines and Geology","usgsCitation":"Colgan, J.P., and Henry, C.D., 2017, Eruptive history, geochronology, and post-eruption structural evolution of the late Eocene Hall Creek Caldera, Toiyabe Range, Nevada: U.S. Geological Survey Professional Paper 1832, 44 p., https://doi.org/10.3133/pp1832.","productDescription":"Report: viii, 43 p.; Figure; Data release","onlineOnly":"Y","ipdsId":"IP-075500","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":336053,"rank":3,"type":{"id":29,"text":"Figure"},"url":"https://pubs.usgs.gov/pp/1832/pp1832_figure_4.pdf","text":"Figure 4","size":"888 kB","linkFileType":{"id":1,"text":"pdf"},"description":"PP 1832 Figure 4"},{"id":336052,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/pp/1832/pp1832.pdf","text":"Report","size":"5.06 MB","linkFileType":{"id":1,"text":"pdf"},"description":"PP 1832"},{"id":336051,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/pp/1832/coverthb.jpg"},{"id":336166,"rank":4,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7JD4TX8","text":" Geochemical and geochronologic data from the Hall Creek caldera, Toiyabe Range, Nevada"}],"country":"United States","state":"Nevada","otherGeospatial":"Late Eocene Hall Creek Caldera, Toiyabe Range","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -117.033333,\n 39.8375\n ],\n [\n -116.733333,\n 39.8375\n ],\n [\n -116.733333,\n 39.708333\n ],\n [\n -117.033333,\n 39.708333\n ],\n [\n -117.033333,\n 39.8375\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Center Director, Geosciences and Environmental Change Science Center
U.S. Geological Survey
Box 25046, Mail Stop 980
Denver, CO 80225
The establishment and invasion of non-native plant species have the ability to alter the composition of native species and functioning of ecological systems with financial costs resulting from mitigation and loss of ecological services. Spatially documenting invasions has applications for management and theory, but the utility of maps is challenged by availability and uncertainty of data, and the reliability of extrapolating mapped data in time and space. The extent and resolution of projections also impact the ability to inform invasive species science and management. Early invasive species maps were coarse-grained representations that underscored the phenomena, but had limited capacity to direct management aside from development of watch lists for priorities for prevention and containment. Integrating mapped data sets with fine-resolution environmental variables in the context of species-distribution models allows a description of species-environment relationships and an understanding of how, why, and where invasions may occur. As with maps, the extent and resolution of models impact the resulting insight. Models of cheatgrass (Bromus tectorum) across a variety of spatial scales and grain result in divergent species-environment relationships. New data can improve models and efficiently direct further inventories. Mapping can target areas of greater model uncertainty or the bounds of modeled distribution to efficiently refine models and maps. This iterative process results in dynamic, living maps capable of describing the ongoing process of species invasions.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Mapping across academia","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Springer Netherlands","doi":"10.1007/978-94-024-1011-2","isbn":"978-94-024-1009-9 ","usgsCitation":"Barnett, D.T., Jarnevich, C.S., Chong, G.W., Stohlgren, T.J., Kumar, S., and Holcombe, T.R., 2017, Ecology and space: A case study in mapping harmful invasive species, chap. of Mapping across academia, p. 63-81, https://doi.org/10.1007/978-94-024-1011-2.","productDescription":"19 p.","startPage":"63","endPage":"81","ipdsId":"IP-035081","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true},{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":336224,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58b15438e4b01ccd54fc5e97","contributors":{"editors":[{"text":"Brunn, Stanley D.","contributorId":182523,"corporation":false,"usgs":false,"family":"Brunn","given":"Stanley","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":671705,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Dodge, Martin","contributorId":182524,"corporation":false,"usgs":false,"family":"Dodge","given":"Martin","email":"","affiliations":[],"preferred":false,"id":671706,"contributorType":{"id":2,"text":"Editors"},"rank":2}],"authors":[{"text":"Barnett, David T.","contributorId":182406,"corporation":false,"usgs":false,"family":"Barnett","given":"David","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":671365,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jarnevich, Catherine S. 0000-0002-9699-2336 jarnevichc@usgs.gov","orcid":"https://orcid.org/0000-0002-9699-2336","contributorId":3424,"corporation":false,"usgs":true,"family":"Jarnevich","given":"Catherine","email":"jarnevichc@usgs.gov","middleInitial":"S.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":671363,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Chong, Geneva W. 0000-0003-3883-5153 geneva_chong@usgs.gov","orcid":"https://orcid.org/0000-0003-3883-5153","contributorId":419,"corporation":false,"usgs":true,"family":"Chong","given":"Geneva","email":"geneva_chong@usgs.gov","middleInitial":"W.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":671361,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Stohlgren, Thomas J. 0000-0001-9696-4450 stohlgrent@usgs.gov","orcid":"https://orcid.org/0000-0001-9696-4450","contributorId":2902,"corporation":false,"usgs":true,"family":"Stohlgren","given":"Thomas","email":"stohlgrent@usgs.gov","middleInitial":"J.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":671364,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kumar, Sunil","contributorId":182407,"corporation":false,"usgs":false,"family":"Kumar","given":"Sunil","email":"","affiliations":[],"preferred":false,"id":671366,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Holcombe, Tracy R. holcombet@usgs.gov","contributorId":3694,"corporation":false,"usgs":true,"family":"Holcombe","given":"Tracy","email":"holcombet@usgs.gov","middleInitial":"R.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":671362,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70176248,"text":"70176248 - 2017 - Measuring urban water conservation policies: Toward a comprehensive index","interactions":[],"lastModifiedDate":"2017-04-04T08:57:12","indexId":"70176248","displayToPublicDate":"2017-02-24T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2529,"text":"Journal of the American Water Resources Association","active":true,"publicationSubtype":{"id":10}},"title":"Measuring urban water conservation policies: Toward a comprehensive index","docAbstract":"This article (1) discusses existing efforts to measure water conservation policies (WCPs) in the United States (U.S.); (2) suggests general methodological guidelines for creating robust water conservation indices (WCIs); (3) presents a comprehensive template for coding WCPs; (4) introduces a summary index, the Vanderbilt Water Conservation Index (VWCI), which is derived from 79 WCP observations for 197 cities for the year 2015; and (5) compares the VWCI to WCP data extracted from the 2010 American Water Works Association (AWWA) Water and Wastewater Rates survey. Existing approaches to measuring urban WCPs in U.S. cities are limited because they consider only a portion of WCPs or they are restricted geographically. The VWCI consists of a more comprehensive set of 79 observations classified as residential, commercial/industrial, billing structure, drought plan, or general. Our comparison of the VWCI and AWWA survey responses indicate reasonable agreement (ρ = 0.76) between the two WCIs for 98 cities where the data overlap. The correlation suggests the AWWA survey responses can provide fairly robust longitudinal WCP information, but we argue the measurement of WCPs is still in its infancy, and our approach suggests strategies for improving existing methods.
","language":"English","publisher":"American Water Resources Association","publisherLocation":"Herndon, VA","doi":"10.1111/1752-1688.12506","usgsCitation":"Hess, D., Wold, C., Worland, S.C., and Hornberger, G., 2017, Measuring urban water conservation policies: Toward a comprehensive index: Journal of the American Water Resources Association, v. 53, no. 2, p. 442-455, https://doi.org/10.1111/1752-1688.12506.","productDescription":"14 p.","startPage":"442","endPage":"455","ipdsId":"IP-074939","costCenters":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"links":[{"id":470057,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/1752-1688.12506","text":"Publisher Index Page"},{"id":336193,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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\"}}]}\n","volume":"53","issue":"2","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"noUsgsAuthors":false,"publicationDate":"2017-02-16","publicationStatus":"PW","scienceBaseUri":"58b15438e4b01ccd54fc5e99","chorus":{"doi":"10.1111/1752-1688.12506","url":"http://dx.doi.org/10.1111/1752-1688.12506","publisher":"Wiley-Blackwell","authors":"Hess David J., Wold Christopher A., Worland Scott C., Hornberger George M.","journalName":"JAWRA Journal of the American Water Resources Association","publicationDate":"2/16/2017","publiclyAccessibleDate":"2/16/2017"},"contributors":{"authors":[{"text":"Hess, David","contributorId":174357,"corporation":false,"usgs":false,"family":"Hess","given":"David","email":"","affiliations":[{"id":6739,"text":"Vanderbilt University School of Medicine","active":true,"usgs":false}],"preferred":false,"id":648074,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wold, 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While the number of contaminants detected in canal waters was greater during the wet season than the dry season, no seasonal difference was evident for Biscayne Bay or coastal wetland waters. Estrogen equivalency (as 17β-estradiol equivalents), as predicted by the Yeast Estrogen Screen, for extracts of passive water samplers deployed in canals and wetlands was elevated during the wet relative to the dry season. Generally, contamination in water, sediments, and fish was greater in the canals than in Biscayne Bay and the wetlands. Guideline levels for sediment contaminant were exceeded most frequently in canals relative to the coastal wetlands and the Bay. Further investigation is necessary to better understand the impact of contaminants in Biscayne National Park.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.marpolbul.2016.11.044","usgsCitation":"Bargar, T.A., Whelan, K.R., Alvarez, D., Echols, K.R., and Peterman, P.H., 2017, Baseline aquatic contamination and endocrine status in a resident fish of Biscayne National Park: Marine Pollution Bulletin, v. 115, no. 1-2, p. 525-533, https://doi.org/10.1016/j.marpolbul.2016.11.044.","productDescription":"9 p.","startPage":"525","endPage":"533","ipdsId":"IP-074772","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":470056,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.marpolbul.2016.11.044","text":"Publisher Index Page"},{"id":438433,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7N014PH","text":"USGS data release","linkHelpText":"Baseline aquatic contamination and endocrine status in a resident fish of Biscayne National Park"},{"id":336179,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Florida","otherGeospatial":"Biscayne National Park","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -80.606689453125,\n 25.260842624760226\n ],\n [\n -80.101318359375,\n 25.260842624760226\n ],\n [\n -80.101318359375,\n 25.752898642900437\n ],\n [\n -80.606689453125,\n 25.752898642900437\n ],\n [\n -80.606689453125,\n 25.260842624760226\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"115","issue":"1-2","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58b15437e4b01ccd54fc5e93","contributors":{"authors":[{"text":"Bargar, Timothy A. 0000-0001-8588-3436 tbargar@usgs.gov","orcid":"https://orcid.org/0000-0001-8588-3436","contributorId":2450,"corporation":false,"usgs":true,"family":"Bargar","given":"Timothy","email":"tbargar@usgs.gov","middleInitial":"A.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"preferred":true,"id":671411,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Whelan, Kevin R.T.","contributorId":53894,"corporation":false,"usgs":true,"family":"Whelan","given":"Kevin","email":"","middleInitial":"R.T.","affiliations":[],"preferred":false,"id":671413,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Alvarez, David 0000-0002-6918-2709 dalvarez@usgs.gov","orcid":"https://orcid.org/0000-0002-6918-2709","contributorId":150499,"corporation":false,"usgs":true,"family":"Alvarez","given":"David","email":"dalvarez@usgs.gov","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":671415,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Echols, Kathy R. 0000-0003-2631-9143 kechols@usgs.gov","orcid":"https://orcid.org/0000-0003-2631-9143","contributorId":2799,"corporation":false,"usgs":true,"family":"Echols","given":"Kathy","email":"kechols@usgs.gov","middleInitial":"R.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":671414,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Peterman, Paul H. ppeterman@usgs.gov","contributorId":2872,"corporation":false,"usgs":true,"family":"Peterman","given":"Paul","email":"ppeterman@usgs.gov","middleInitial":"H.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":671416,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70182531,"text":"70182531 - 2017 - Adapting California’s ecosystems to a changing climate","interactions":[],"lastModifiedDate":"2017-02-24T12:11:34","indexId":"70182531","displayToPublicDate":"2017-02-24T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":997,"text":"BioScience","active":true,"publicationSubtype":{"id":10}},"title":" Adapting California’s ecosystems to a changing climate","docAbstract":"Significant efforts are underway to translate improved understanding of how climate change is altering ecosystems into practical actions for sustaining ecosystem functions and benefits. We explore this transition in California, where adaptation and mitigation are advancing relatively rapidly, through four case studies that span large spatial domains and encompass diverse ecological systems, institutions, ownerships, and policies. The case studies demonstrate the context specificity of societal efforts to adapt ecosystems to climate change and involve applications of diverse scientific tools (e.g., scenario analyses, downscaled climate projections, ecological and connectivity models) tailored to specific planning and management situations (alternative energy siting, wetland management, rangeland management, open space planning). They illustrate how existing institutional and policy frameworks provide numerous opportunities to advance adaptation related to ecosystems and suggest that progress is likely to be greatest when scientific knowledge is integrated into collective planning and when supportive policies and financing enable action.","language":"English","publisher":"Oxford University Press","doi":"10.1093/biosci/biu233","usgsCitation":"Chornesky, E., Ackerly, D., Paul Beier, Davis, F.W., Flint, L.E., Lawler, J.J., Moyle, P.B., Moritz, M.A., Scoonover, M., Byrd, K.B., Alvarez, P., Heller, N.E., Micheli, E., and Weiss, S., 2017, Adapting California’s ecosystems to a changing climate: BioScience, v. 65, no. 3, p. 247-262, https://doi.org/10.1093/biosci/biu233.","productDescription":"16 p. ","startPage":"247","endPage":"262","ipdsId":"IP-059955","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":461715,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1093/biosci/biu233","text":"Publisher Index Page"},{"id":336195,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"65","issue":"3","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationDate":"2015-02-26","publicationStatus":"PW","scienceBaseUri":"58b15436e4b01ccd54fc5e91","contributors":{"authors":[{"text":"Chornesky, Elizabeth","contributorId":182431,"corporation":false,"usgs":false,"family":"Chornesky","given":"Elizabeth","email":"","affiliations":[],"preferred":false,"id":671429,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ackerly, David","contributorId":182432,"corporation":false,"usgs":false,"family":"Ackerly","given":"David","email":"","affiliations":[],"preferred":false,"id":671430,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Paul Beier","contributorId":182433,"corporation":false,"usgs":false,"family":"Paul Beier","affiliations":[],"preferred":false,"id":671431,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Davis, Frank W.","contributorId":182340,"corporation":false,"usgs":false,"family":"Davis","given":"Frank","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":671432,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Flint, Lorraine E. 0000-0002-7868-441X lflint@usgs.gov","orcid":"https://orcid.org/0000-0002-7868-441X","contributorId":1184,"corporation":false,"usgs":true,"family":"Flint","given":"Lorraine","email":"lflint@usgs.gov","middleInitial":"E.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":671428,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Lawler, Joshua J.","contributorId":73327,"corporation":false,"usgs":false,"family":"Lawler","given":"Joshua","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":671435,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Moyle, Peter B.","contributorId":117099,"corporation":false,"usgs":false,"family":"Moyle","given":"Peter","email":"","middleInitial":"B.","affiliations":[{"id":7214,"text":"University of California, Davis","active":true,"usgs":false}],"preferred":false,"id":671433,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Moritz, Max A.","contributorId":182434,"corporation":false,"usgs":false,"family":"Moritz","given":"Max","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":671434,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Scoonover, Mary","contributorId":182460,"corporation":false,"usgs":false,"family":"Scoonover","given":"Mary","email":"","affiliations":[],"preferred":false,"id":671493,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Byrd, Kristin B. 0000-0002-5725-7486 kbyrd@usgs.gov","orcid":"https://orcid.org/0000-0002-5725-7486","contributorId":3814,"corporation":false,"usgs":true,"family":"Byrd","given":"Kristin","email":"kbyrd@usgs.gov","middleInitial":"B.","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":671494,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Alvarez, Pelayo","contributorId":89438,"corporation":false,"usgs":true,"family":"Alvarez","given":"Pelayo","affiliations":[],"preferred":false,"id":671495,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Heller, Nicole E.","contributorId":140429,"corporation":false,"usgs":false,"family":"Heller","given":"Nicole","email":"","middleInitial":"E.","affiliations":[{"id":13495,"text":"Dwight Center for Conservation Science at Pepperwood Preserve","active":true,"usgs":false}],"preferred":false,"id":671496,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Micheli, Elisabeth","contributorId":105615,"corporation":false,"usgs":true,"family":"Micheli","given":"Elisabeth","email":"","affiliations":[],"preferred":false,"id":671497,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Weiss, Stuart","contributorId":7590,"corporation":false,"usgs":true,"family":"Weiss","given":"Stuart","email":"","affiliations":[],"preferred":false,"id":671498,"contributorType":{"id":1,"text":"Authors"},"rank":14}]}} ,{"id":70182521,"text":"70182521 - 2017 - A serosurvey of diseases of free-ranging gray wolves (Canis lupus) in Minnesota","interactions":[],"lastModifiedDate":"2018-09-21T09:11:49","indexId":"70182521","displayToPublicDate":"2017-02-24T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2507,"text":"Journal of Wildlife Diseases","active":true,"publicationSubtype":{"id":10}},"displayTitle":"A serosurvey of diseases of free-ranging gray wolves (Canis lupus) in Minnesota","title":"A serosurvey of diseases of free-ranging gray wolves (Canis lupus) in Minnesota","docAbstract":"We tested serum samples from 387 free-ranging wolves (Canis lupus) from 2007 to 2013 for exposure to eight canid pathogens to establish baseline data on disease prevalence and spatial distribution in Minnesota's wolf population. We found high exposure to canine adenoviruses 1 and 2 (88% adults, 45% pups), canine parvovirus (82% adults, 24% pups), and Lyme disease (76% adults, 39% pups). Sixty-six percent of adults and 36% of pups exhibited exposure to the protozoan parasite Neospora caninum. Exposure to arboviruses was confirmed, including West Nile virus (37% adults, 18% pups) and eastern equine encephalitis (3% adults). Exposure rates were lower for canine distemper (19% adults, 5% pups) and heartworm (7% adults, 3% pups). Significant spatial trends were observed in wolves exposed to canine parvovirus and Lyme disease. Serologic data do not confirm clinical disease, but better understanding of disease ecology of wolves can provide valuable insight into wildlife population dynamics and improve management of these species.
","language":"English","publisher":"Wildlife Diseases Association","doi":"10.7589/2016-06-140","usgsCitation":"Carstensen, M., Giudice, J.H., Hildebrand, E.C., Dubey, J.P., Erb, J., Stark, D., Hart, J., Barber-Meyer, S., Mech, L.D., Windels, S.K., and Edwards, A.J., 2017, A serosurvey of diseases of free-ranging gray wolves (Canis lupus) in Minnesota: Journal of Wildlife Diseases, v. 53, no. 3, p. 459-471, https://doi.org/10.7589/2016-06-140.","productDescription":"13 p.","startPage":"459","endPage":"471","ipdsId":"IP-076995","costCenters":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":336167,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Minnesota","volume":"53","issue":"3","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58b15437e4b01ccd54fc5e95","contributors":{"authors":[{"text":"Carstensen, Michelle","contributorId":127724,"corporation":false,"usgs":false,"family":"Carstensen","given":"Michelle","email":"","affiliations":[{"id":7123,"text":"Minnesota Department of Natural Resources, Wildlife Health Program, 5463-C West Broadway, Forest Lake, Minnesota, 55025, USA","active":true,"usgs":false}],"preferred":false,"id":671395,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Giudice, John H.","contributorId":182418,"corporation":false,"usgs":false,"family":"Giudice","given":"John","email":"","middleInitial":"H.","affiliations":[{"id":33344,"text":"University of Idaho, Moscow, ID 83844","active":true,"usgs":false}],"preferred":false,"id":671396,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hildebrand, Erik C.","contributorId":168399,"corporation":false,"usgs":false,"family":"Hildebrand","given":"Erik","email":"","middleInitial":"C.","affiliations":[{"id":6964,"text":"Minnesota Department of Natural Resources","active":true,"usgs":false}],"preferred":false,"id":671397,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Dubey, J. P.","contributorId":182419,"corporation":false,"usgs":false,"family":"Dubey","given":"J.","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":671398,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Erb, John","contributorId":170057,"corporation":false,"usgs":false,"family":"Erb","given":"John","email":"","affiliations":[],"preferred":false,"id":671399,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Stark, Dan","contributorId":182420,"corporation":false,"usgs":false,"family":"Stark","given":"Dan","email":"","affiliations":[],"preferred":false,"id":671400,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Hart, John","contributorId":182421,"corporation":false,"usgs":false,"family":"Hart","given":"John","email":"","affiliations":[],"preferred":false,"id":671401,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Barber-Meyer, Shannon M. 0000-0002-3048-2616 sbarber-meyer@usgs.gov","orcid":"https://orcid.org/0000-0002-3048-2616","contributorId":147904,"corporation":false,"usgs":true,"family":"Barber-Meyer","given":"Shannon M.","email":"sbarber-meyer@usgs.gov","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":false,"id":671402,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Mech, L. David 0000-0003-3944-7769 david_mech@usgs.gov","orcid":"https://orcid.org/0000-0003-3944-7769","contributorId":2518,"corporation":false,"usgs":true,"family":"Mech","given":"L.","email":"david_mech@usgs.gov","middleInitial":"David","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":671394,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Windels, Steve K.","contributorId":182422,"corporation":false,"usgs":false,"family":"Windels","given":"Steve","email":"","middleInitial":"K.","affiliations":[{"id":18939,"text":"Voyageurs National Park","active":true,"usgs":false}],"preferred":false,"id":671403,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Edwards, Andrew J.","contributorId":182423,"corporation":false,"usgs":false,"family":"Edwards","given":"Andrew","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":671404,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}} ,{"id":70174949,"text":"70174949 - 2017 - Grand challenges in the management and conservation of North American inland fishes and fisheries","interactions":[],"lastModifiedDate":"2018-04-24T13:34:00","indexId":"70174949","displayToPublicDate":"2017-02-24T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1657,"text":"Fisheries","onlineIssn":"1548-8446","printIssn":"0363-2415","active":true,"publicationSubtype":{"id":10}},"title":"Grand challenges in the management and conservation of North American inland fishes and fisheries","docAbstract":"Even with long-standing management and extensive science support, North American inland fish and fisheries still face many conservation and management challenges. We used a grand challenges approach to identify critical roadblocks that if removed would help solve important problems in the management and long-term conservation of North American inland fish and fisheries. We identified seven grand challenges within three themes (valuation, governance, and externalities) and 34 research needs and management actions. The major themes identified are to (1) raise awareness of diverse values associated with inland fish and fisheries, (2) govern inland fish and fisheries to satisfy multiple use and conservation objectives, and (3) ensure productive inland fisheries given nonfishing sector externalities. Addressing these grand challenges will help the broader community understand the diverse values of inland fish and fisheries, promote open forums for engagement of diverse stakeholders in fisheries management, and better integrate the inland fish sector into the greater water and land use policy process.
","language":"English","publisher":"American Fisheries Society","publisherLocation":"Bethesda, MD","doi":"10.1080/03632415.2017.1259945","usgsCitation":"Lynch, A., Cooke, S., Beard, Kao, Y., Lorenzen, K., Song, A.M., Allen, M.S., Basher, Z., Bunnell, D., Camp, E.V., Cowx, I.G., Freedman, J., Nguyen, V., Nohner, J.K., Rogers, M.W., Siders, Z.A., Taylor, W., and Youn, S., 2017, Grand challenges in the management and conservation of North American inland fishes and fisheries: Fisheries, v. 42, no. 2, p. 115-124, https://doi.org/10.1080/03632415.2017.1259945.","productDescription":"11 p.","startPage":"115","endPage":"124","ipdsId":"IP-070790","costCenters":[{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true},{"id":36940,"text":"National Climate Adaptation Science Center","active":true,"usgs":true}],"links":[{"id":490015,"rank":0,"type":{"id":41,"text":"Open Access External Repository 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,{"id":70182156,"text":"ds1039 - 2017 - Coastal single-beam bathymetry data collected in 2015 from the Chandeleur Islands, Louisiana","interactions":[],"lastModifiedDate":"2017-02-24T08:26:44","indexId":"ds1039","displayToPublicDate":"2017-02-23T17:30:00","publicationYear":"2017","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":310,"text":"Data Series","code":"DS","onlineIssn":"2327-638X","printIssn":"2327-0271","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"1039","title":"Coastal single-beam bathymetry data collected in 2015 from the Chandeleur Islands, Louisiana","docAbstract":"As part of the Louisiana Coastal Protection and Restoration Authority (CPRA) Barrier Island Comprehensive Monitoring Program, scientists from the U.S. Geological Survey (USGS) St. Petersburg Coastal and Marine Science Center conducted a single-beam bathymetry survey around the Chandeleur Islands, Louisiana, in June 2015. The goal of the program is to provide long-term data on Louisiana’s barrier islands and use this data to plan, design, evaluate, and maintain current and future barrier island restoration projects. The data described in this report, along with (1) USGS bathymetry data collected in 2013 as a part of the Barrier Island Evolution Research project covering the northern Chandeleur Islands, and (2) data collected in 2014 in collaboration with the Louisiana CPRA Barrier Island Comprehensive Monitoring Program around Breton Island, will be used to assess bathymetric change since 2006‒2007 as well as serve as a bathymetric control in supporting modeling of future changes in response to restoration and storm impacts. The survey area encompasses approximately 435 square kilometers of nearshore and back-barrier environments around Hewes Point, the Chandeleur Islands, and Curlew and Grand Gosier Shoals. This Data Series serves as an archive of processed single-beam bathymetry data, collected in the nearshore of the Chandeleur Islands, Louisiana, from June 17‒24, 2015, during USGS Field Activity Number 2015-317-FA. Geographic information system data products include a 200-meter-cell-size interpolated bathymetry grid, trackline maps, and xyz point data files. Additional files include error analysis maps, Field Activity Collection System logs, and formal Federal Geographic Data Committee metadata.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds1039","usgsCitation":"Stalk, C.A., DeWitt, N.T., Bernier, J.C., Kindinger, J.G., Flocks, J.G., Miselis, J.L., Locker, S.D., Kelso, K.W., and Tuten, T.M., 2017, Coastal single-beam bathymetry data collected in 2015 from the Chandeleur Islands, Louisiana: U.S. Geological Survey Data Series 1039, https://doi.org/10.3133/ds1039.","productDescription":"HTML Document","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-076323","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":335883,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/ds/1039/index.html","text":"Report HTML","linkFileType":{"id":5,"text":"html"},"description":"DS 1039 HTML"},{"id":335882,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/ds/1039/coverthb.jpg"}],"country":"United States","state":"Louisiana","otherGeospatial":"Chandeleur Islands","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -89.116667,\n 30.116667\n ],\n [\n -88.75,\n 30.116667\n ],\n [\n -88.75,\n 29.533333\n ],\n [\n -89.116667,\n 29.533333\n ],\n [\n -89.116667,\n 30.116667\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"St. Petersburg Coastal and Marine Science Center
U.S. Geological Survey
600 4th Street South
St. Petersburg, FL 33701
(727) 502-8000
http://coastal.er.usgs.gov/
The goals of the USA National Phenology Network (USA-NPN, www.usanpn.org) are to advance science, inform decisions, and communicate and connect with the public regarding phenology and species’ responses to environmental variation and climate change. The USA-NPN seeks to facilitate informed ecosystem stewardship and management by providing phenological information freely and openly. One way the USA-NPN is endeavoring to accomplish these goals is by providing data and data products in a wide range of formats, including gridded real-time, short-term forecasted, and historical maps of phenological events, patterns and trends. This document describes the suite of gridded phenologically relevant data products produced and provided by the USA National Phenology Network, which can be accessed at www.usanpn.org/data/phenology_maps and also through web services at geoserver.usanpn.org/geoserver/wms?request=GetCapabilities.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20171003","collaboration":"Prepared in cooperation with the University of Arizona","usgsCitation":"Crimmins, T.M., Marsh, R.L., Switzer, J.R., Crimmins, M.A., Gerst, K.L., Rosemartin, A.H., and Weltzin, J.F., 2017, USA National Phenology Network gridded products documentation: U.S. Geological Survey Open-File Report 2017–1003, 27 p., https://doi.org/10.3133/ofr20171003.","productDescription":"vi, 27 p.","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-076553","costCenters":[{"id":433,"text":"National Phenology Network","active":true,"usgs":true}],"links":[{"id":334617,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2017/1003/ofr20171003.pdf","text":"Report","size":"432 KB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2017-1003"},{"id":334616,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2017/1003/coverthb.jpg"}],"contact":"Executive Director
USA National Phenology Network
http://www.usanpn.org
The U.S. Geological Survey (USGS), in cooperation with Gwinnett County Department of Water Resources, established a Long-Term Trend Monitoring (LTTM) program in 1996. The LTTM program is a comprehensive, long-term, water-quantity and water-quality monitoring program designed to document and analyze the hydrologic and water-quality conditions of selected watersheds in Gwinnett County, Georgia. Water-quality monitoring initially began in six watersheds and currently [2016] includes 13 watersheds.
As part of the LTTM program, streamflow, precipitation, water temperature, specific conductance, and turbidity were measured every 15 minutes for water years 2001–15 at 12 of the 13 watershed monitoring stations and for water years 2010–15 at the other watershed. In addition, discrete water-quality samples were collected seasonally from May through October (summer) and November through April (winter), including one base-flow and three stormflow event composite samples, during the study period. Samples were analyzed for nutrients (nitrogen and phosphorus), total organic carbon, trace elements (total lead and total zinc), total dissolved solids, and total suspended sediment (total suspended solids and suspended-sediment concentrations). The sampling scheme was designed to identify variations in water quality both hydrologically and seasonally.
The 13 watersheds were characterized for basin slope, population density, land use for 2012, and the percentage of impervious area from 2000 to 2014. Several droughts occurred during the study period—water years 2002, 2007–08, and 2011–12. Watersheds with the highest percentage of impervious areas had the highest runoff ratios, which is the portion of precipitation that occurs as runoff. Watershed base-flow indexes, the ratio of base-flow runoff to total runoff, were inversely correlated with watershed impervious area.
Flood-frequency estimates were computed for 13 streamgages in the study area that have 10 or more years of annual peak flow data through water year 2015, using the expected moments algorithm to fit a Pearson Type III distribution to logarithms of annual peak flows. Kendall’s tau nonparametric test was used to determine the statistical significance of trends in the annual peak flows, with none of the 13 streamgages exhibiting significant trends.
A comparison of base-flow and stormflow water-quality samples indicates that turbidity and concentrations of total ammonia plus organic nitrogen, total nitrogen, total phosphorus, total organic carbon, total lead, total zinc, total suspended solids, and suspended-sediment concentrations increased with increasing discharge at all watersheds. Specific conductance decreased during stormflow at all watersheds, and total dissolved solids concentrations decreased during stormflow at a few of the watersheds. Total suspended solids and suspended-sediment concentrations typically were two orders of magnitude higher in stormflow samples, turbidities were about 1.5 orders of magnitude higher, total phosphorus and total zinc were about one order of magnitude higher, and total ammonia plus organic nitrogen, total nitrogen, total organic carbon, and total lead were about twofold higher than in base-flow samples.
Seasonality and long-term trends were identified for the period water years 2001–15 for 10 constituents—total nitrogen, total nitrate plus nitrite, total phosphorus, dissolved phosphorus, total organic carbon, total suspended solids, suspended-sediment concentration, total lead, total zinc, and total dissolved solids. Seasonal patterns were present in most watersheds for all constituents except total dissolved solids, and the watersheds had fairly similar patterns of higher concentrations in the summer and lower concentrations in the winter. A linear long-term trend analysis of residual concentrations from the flow-only load estimation model (without time-trend terms) identified significant trends in 67 of the 130 constituent-watershed combinations. Seventy percent of the significant trends were negative. Total organic carbon and total dissolved solids had predominantly positive trends. Total phosphorus, total suspended solids, suspended-sediment concentration, total lead, and total zinc had only negative trends. The other three constituents exhibited fewer trends, both positive and negative.
Streamwater loads were estimated annually for the 13-year period water years 2003–15 for the same 10 constituents in the trend analysis. Loads were estimated using a regression-model-based approach developed by the USGS for the Gwinnett County LTTM program that accommodates the use of storm-event composited samples. Concentrations were modeled as a function of discharge, base flow, time, season, and turbidity to improve model predictions and reduce errors in load estimates. Total suspended solids annual loads have been identified in Gwinnett County’s Watershed Protection Plan for target performance criterion.
Although the amount of annual runoff was the primary factor in variations in annual loads, climatic conditions (classified as dry, average, or wet) affected annual loads beyond what was attributed to climatic-related variations in annual runoff. Significant negative trends in loads were estimated for the combined area of the watersheds for all constituents except dissolved phosphorus, total organic carbon, and total dissolved solids. The trend analysis indicated that total suspended solids and suspended-sediment concentration loads in the study area were decreasing by 57,000 and 87,000 pounds per day per year, respectively.
Variations in constituent yields between watersheds appeared to be related to various watershed characteristics. Suspended sediment (as either total suspended solids or suspended-sediment concentrations), along with constituents transported predominately in solid phase (total phosphorus, total organic carbon, total lead, and total zinc), and total dissolved solids typically had higher yields from watersheds that had high percentages of impervious areas or high basin slope. High total nitrogen yields were also associated with watersheds with high percentages of impervious areas. Low total nitrogen, total suspended solids, total lead, and total zinc yields appeared to be associated with watersheds that had a low percentage of high-density development.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20175012","collaboration":"Prepared in cooperation with the Gwinnett County Department of Water Resources","usgsCitation":"Aulenbach, B.T., Joiner, J.K., and Painter, J.A., 2017, Hydrology and water quality in 13 watersheds in Gwinnett County, Georgia, 2001–15: U.S. Geological Survey Scientific Investigations Report 2017– 5012, 82 p., https://doi.org/10.3133/sir20175012. 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South Atlantic Water Science Center
U.S. Geological Survey
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Or visit the South Atlantic Water Science Center website at
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A continually increasing number of high-quality digital strong-motion records from stations of the National Strong-Motion Project (NSMP) of the U.S. Geological Survey (USGS), as well as data from regional seismic networks within the United States, call for automated processing of strong-motion records with human review limited to selected significant or flagged records. The NSMP has developed the Processing and Review Interface for Strong Motion data (PRISM) software to meet this need. In combination with the Advanced National Seismic System Quake Monitoring System (AQMS), PRISM automates the processing of strong-motion records. When used without AQMS, PRISM provides batch-processing capabilities. The PRISM version 1.0.0 is platform independent (coded in Java), open source, and does not depend on any closed-source or proprietary software. The software consists of two major components: a record processing engine and a review tool that has a graphical user interface (GUI) to manually review, edit, and process records. To facilitate use by non-NSMP earthquake engineers and scientists, PRISM (both its processing engine and review tool) is easy to install and run as a stand-alone system on common operating systems such as Linux, OS X, and Windows. PRISM was designed to be flexible and extensible in order to accommodate new processing techniques. This report provides a thorough description and examples of the record processing features supported by PRISM. All the computing features of PRISM have been thoroughly tested.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20171008","usgsCitation":"Jones, J., Kalkan, E., and Stephens, C., 2017, Processing and review interface for strong motion data (PRISM) software, version 1.0.0—Methodology and automated processing: U.S. Geological Survey Open-File Report 2017–1008, 81 p., https://doi.org/10.3133/ofr20171008.","productDescription":"x, 81 p.","onlineOnly":"Y","ipdsId":"IP-065005","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":335779,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2017/1008/ofr20171008.pdf","text":"Report","size":"14.2 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2017-1008"},{"id":335778,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2017/1008/coverthb.jpg"}],"contact":"Earthquake Science Center—Menlo Park, Calif. Office
U.S. Geological Survey
345 Middlefield Road, MS 977
Menlo Park, CA 94025
http://earthquake.usgs.gov/