Surface and groundwater samples within the Montezuma mining district were sampled to evaluate the use of strontium isotopic compositions as signatures of different water types. Waters draining Precambrian metamorphic units had distinctly higher 87Sr/ 86Sr values (0.72893 to 0.73833) than waters draining Tertiaryage plutonic rocks (0.71064 and 0.71114). Waters draining mine workings along Tertiary-age mineralized veins in Precambrian metamorphic units had isotopic compositions between these two endmembers such that Sr isotopic composition could not be used as a unique signature of mining-related waters.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Proceedings of the 12th International Symposium on Applied Isotope Geochemistry (AIG-12)","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"12th International Symposium on Applied Isotope Geochemistry (AIG-12)","conferenceDate":"September 17-22, 2017","conferenceLocation":"Coppper Mountain, CO","language":"English","publisher":"International Association of GeoChemistry","usgsCitation":"Verplanck, P.L., and Runkel, R.L., 2017, Strontium isotopic systematics of mineralized and background water samples, Montezuma Mining District, Colorado, in Proceedings of the 12th International Symposium on Applied Isotope Geochemistry (AIG-12), Coppper Mountain, CO, September 17-22, 2017, 5 p.","productDescription":"5 p.","ipdsId":"IP-087838","costCenters":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"links":[{"id":361019,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":361018,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.appliedisotopegeochemistry.com/queries/AIG/Abstracts.jsp"}],"publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Verplanck, Philip L. 0000-0002-3653-6419 plv@usgs.gov","orcid":"https://orcid.org/0000-0002-3653-6419","contributorId":728,"corporation":false,"usgs":true,"family":"Verplanck","given":"Philip","email":"plv@usgs.gov","middleInitial":"L.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":756639,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Runkel, Robert L. 0000-0003-3220-481X runkel@usgs.gov","orcid":"https://orcid.org/0000-0003-3220-481X","contributorId":685,"corporation":false,"usgs":true,"family":"Runkel","given":"Robert","email":"runkel@usgs.gov","middleInitial":"L.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":756640,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70199144,"text":"70199144 - 2017 - Adaptive harvest management for the Svalbard population of pink-footed geese (Anser brachyrhynchus)","interactions":[],"lastModifiedDate":"2018-09-11T10:57:33","indexId":"70199144","displayToPublicDate":"2017-01-01T10:57:27","publicationYear":"2017","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":9,"text":"Other Report"},"seriesTitle":{"id":5740,"text":"EGMP Technical Report","active":true,"publicationSubtype":{"id":9}},"seriesNumber":"5","displayTitle":"Adaptive harvest management for the Svalbard population of pink-footed geese (Anser brachyrhynchus)","title":"Adaptive harvest management for the Svalbard population of pink-footed geese (Anser brachyrhynchus)","docAbstract":"This document describes progress to date on the development of an adaptive harvest-management strategy for maintaining the Svalbard population of pink-footed geese (Anser brachyrhynchus) near their target level (60,000) by providing for sustainable harvests in Norway and Denmark. Specifically, this report provides an assessment of the most recent monitoring information and its implications for the harvest management strategy.
The development of an adaptive harvest management (AHM) strategy requires specification of four elements: (a) a set of alternative population models, which bound the uncertainty about effects of harvest and other relevant environmental factors; (b) a set of probabilities (or weights) describing the relative credibility of the alternative models, which are updated each year based on a comparison of model predictions and monitoring information; (c) a set of alternative harvest quotas from which to choose; and (d) a management objective function, by which alternative harvest strategies can be evaluated and a mathematically optimal strategy identified.
By combining varying hypotheses about survival and reproduction, a suite of nine models were developed. Those models represent a wide range of possibilities concerning the extent to which demographic rates are density dependent, and the extent to which spring temperatures influence survival and reproduction. Five of the models incorporate density-dependent mechanisms that would maintain the population near a carrying capacity (i.e., in the absence of harvest) of 65,000 – 129,000 depending on the specific model. The remaining four models are density independent and predict an exponentially growing population even with moderate levels of harvest.
The most current set of monitoring information was used to update model weights for the period 1991 – 2016. Current model weights suggest little evidence for density-dependent survival and reproduction. These results suggest that the pink-footed goose population may have recently experienced a release from density-dependent mechanisms, corresponding to the period of most rapid growth in population size. There is equivocal evidence for the effect of May temperature days in Svalbard (number of days with temperatures above freezing) on survival and reproduction.
Beginning with the 2016 hunting season, harvest quotas are chosen on an annual basis rather than every three years because of the potential to better meet management objectives. The optimal harvest strategy, however, remains “knife-edged,” meaning that small changes in resource status can precipitate large changes in the annual harvest quota. This potential outcome is likely to be of concern to hunters, and we are investigating ways in which large swings in harvest quotas might be dampened. Based on updated model probabilities, the recent observations of record-high population size (88,000), the aboveaverage proportion of the population comprised of one-year-old birds (0.196), and temperature days in Svalbard (4), the suggested harvest quota for the 2017 hunting season is 36,000. Last year the quota was 25,000, yet a harvest of only 16,143 was realized. We are increasingly concerned that with the return of average spring temperatures in Svalbard, the population will continue to grow beyond managers’ ability to control it, as is the case with many goose populations in Europe and North America.
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","language":"English","publisher":"The Wildlife Society","usgsCitation":"Howensee, P., Samuel, M.D., and Drake, D., 2017, For what it's worth : appreciating the economic value of wildlife: The Wildlife Professional, v. 11.","productDescription":"4 p.","startPage":"43","ipdsId":"IP-076076","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":356130,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"11","edition":"40","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5b6fc777e4b0f5d57878ebe0","contributors":{"authors":[{"text":"Howensee, P.","contributorId":206700,"corporation":false,"usgs":false,"family":"Howensee","given":"P.","email":"","affiliations":[],"preferred":false,"id":741504,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Samuel, Michael D. msamuel@usgs.gov","contributorId":1419,"corporation":false,"usgs":true,"family":"Samuel","given":"Michael","email":"msamuel@usgs.gov","middleInitial":"D.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":741359,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Drake, D.","contributorId":206701,"corporation":false,"usgs":false,"family":"Drake","given":"D.","affiliations":[],"preferred":false,"id":741505,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70228712,"text":"70228712 - 2017 - Yellowstone grizzly bear investigations — Annual report of the Interagency Grizzly Bear Study Team 2016","interactions":[],"lastModifiedDate":"2022-09-13T15:23:56.790699","indexId":"70228712","displayToPublicDate":"2017-01-01T09:54:42","publicationYear":"2017","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":1,"text":"Federal Government Series"},"seriesTitle":{"id":3,"text":"Annual Report","active":false,"publicationSubtype":{"id":1}},"title":"Yellowstone grizzly bear investigations — Annual report of the Interagency Grizzly Bear Study Team 2016","docAbstract":"This Annual Report summarizes results of grizzly bear (Ursus arctos) monitoring and research conducted in the Greater Yellowstone Ecosystem (GYE) by the Interagency Grizzly Bear Study Team (IGBST) during 2016. The report also contains a summary of grizzly bear management actions to address conflict situations.
","language":"English","publisher":"Interagency Grizzly Bear Study Team","usgsCitation":"2017, Yellowstone grizzly bear investigations — Annual report of the Interagency Grizzly Bear Study Team 2016: Annual Report, 185 p.","productDescription":"185 p.","ipdsId":"IP-130271","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":406598,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":406597,"rank":1,"type":{"id":11,"text":"Document"},"url":"https://www.sciencebase.gov/catalog/file/get/6266a697d34e76103cce5808?f=__disk__a1%2F87%2Fe7%2Fa187e75c128cd250f77e0e549d1081f5c071191e","linkFileType":{"id":1,"text":"pdf"}}],"country":"United States","state":"Idaho, Montana, Wyoming","otherGeospatial":"Greater Yellowstone Ecosystem","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -111.68701171875,\n 42.85985981506279\n ],\n [\n -109.27001953125,\n 42.85985981506279\n ],\n [\n -109.27001953125,\n 45.583289756006316\n ],\n [\n -111.68701171875,\n 45.583289756006316\n ],\n [\n -111.68701171875,\n 42.85985981506279\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"editors":[{"text":"van Manen, Frank T. 0000-0001-5340-8489 fvanmanen@usgs.gov","orcid":"https://orcid.org/0000-0001-5340-8489","contributorId":2267,"corporation":false,"usgs":true,"family":"van Manen","given":"Frank","email":"fvanmanen@usgs.gov","middleInitial":"T.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":835180,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Haroldson, Mark A. 0000-0002-7457-7676 mharoldson@usgs.gov","orcid":"https://orcid.org/0000-0002-7457-7676","contributorId":1773,"corporation":false,"usgs":true,"family":"Haroldson","given":"Mark","email":"mharoldson@usgs.gov","middleInitial":"A.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":835181,"contributorType":{"id":2,"text":"Editors"},"rank":2},{"text":"Karabensh, Bryn 0000-0002-2052-5256","orcid":"https://orcid.org/0000-0002-2052-5256","contributorId":219113,"corporation":false,"usgs":true,"family":"Karabensh","given":"Bryn","email":"","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":835182,"contributorType":{"id":2,"text":"Editors"},"rank":3}]}} ,{"id":70148686,"text":"70148686 - 2017 - Scientific records appraisal process: U.S. Geological Survey case study","interactions":[],"lastModifiedDate":"2024-07-03T14:14:05.913453","indexId":"70148686","displayToPublicDate":"2017-01-01T09:09:48","publicationYear":"2017","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Scientific records appraisal process: U.S. Geological Survey case study","docAbstract":"No abstract available.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Curating research data, volume two: A handbook of current practice","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Association of College & Research Libraries","usgsCitation":"Faundeen, J., 2017, Scientific records appraisal process: U.S. Geological Survey case study, chap. of Curating research data, volume two: A handbook of current practice, p. 57-60.","productDescription":"4 p.","startPage":"57","endPage":"60","ipdsId":"IP-066404","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":430759,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://hdl.handle.net/11299/185335","linkFileType":{"id":5,"text":"html"}},{"id":430760,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"editors":[{"text":"Johnston, Lisa R.","contributorId":339919,"corporation":false,"usgs":false,"family":"Johnston","given":"Lisa","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":905588,"contributorType":{"id":2,"text":"Editors"},"rank":1}],"authors":[{"text":"Faundeen, John 0000-0003-0287-2921 faundeen@usgs.gov","orcid":"https://orcid.org/0000-0003-0287-2921","contributorId":3097,"corporation":false,"usgs":true,"family":"Faundeen","given":"John","email":"faundeen@usgs.gov","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true},{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":true,"id":549046,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70238858,"text":"70238858 - 2017 - USGS revision of global iron ore production data—Clarification of the reporting of iron ore production in China and application of a uniform comparison methodology (2000-2015)","interactions":[],"lastModifiedDate":"2025-03-05T15:17:29.764006","indexId":"70238858","displayToPublicDate":"2017-01-01T09:05:32","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2755,"text":"Mining Engineering","active":true,"publicationSubtype":{"id":10}},"displayTitle":"USGS revision of global iron ore production data—Clarification of the reporting of iron ore production in China and application of a uniform comparison methodology (2000-2015)","title":"USGS revision of global iron ore production data—Clarification of the reporting of iron ore production in China and application of a uniform comparison methodology (2000-2015)","docAbstract":"Iron ore is the source of primary iron for the world’s iron and steel industries. Its production can be reported as crude ore, usable ore or iron content of ore. Historically, the U.S. Geological Survey (USGS) used reported crude ore production from China in tabulations of world iron ore production while other countries have typically reported their production in terms of usable iron ore. When China’s crude ore production was tabulated with usable ore production from other countries, world iron ore production totals have been overestimated by 10 percent to a high of 32 percent (Figs. 1, 2). The significant increase in iron ore production in China from 2000 through 2015 amplified the overestimation resulting from tabulating inconsistent forms of the material. Sources of data for usable iron ore production in China, beginning in 2000, have become available. This article documents the revision of world iron ore production totals and augments historical China iron ore production figures to show both crude and usable ore values.
","language":"English","publisher":"Society for Mining, Metallurgy, & Exploration","usgsCitation":"Tuck, C.C., Xun, S., and Singerling, S.A., 2017, USGS revision of global iron ore production data—Clarification of the reporting of iron ore production in China and application of a uniform comparison methodology (2000-2015): Mining Engineering, v. 69, no. 2, p. 20-23.","productDescription":"4 p.","startPage":"20","endPage":"23","ipdsId":"IP-081862","costCenters":[{"id":432,"text":"National Minerals Information Center","active":true,"usgs":true}],"links":[{"id":410473,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.er.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":410540,"rank":2,"type":{"id":42,"text":"Open Access USGS Document"},"url":"https://pubs.usgs.gov/ja/70238858/report.pdf","text":"USGS Accepted Manuscript","size":"295 KB","linkFileType":{"id":1,"text":"pdf"}},{"id":410448,"rank":3,"type":{"id":15,"text":"Index 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TUSK is home to extensive and stratigraphically complex groundwater discharge (GWD) deposits, called the Las Vegas Formation, which represent springs and desert wetlands that covered much of the valley during the late Quaternary. The GWD deposits record hydrologic changes that occurred here in a dynamic and temporally congruent response to abrupt climatic oscillations over the last ~300 ka (thousands of years). The deposits also entomb the Tule Springs Local Fauna (TSLF), one of the most significant late Pleistocene (Rancholabrean) vertebrate assemblages in the American Southwest. The TSLF is both prolific and diverse, and includes a large mammal assemblage dominated by Mammuthus columbi and Camelops hesternus. Two and possibly three distinct species of Equus, two species of Bison, Panthera atrox, Smilodon fatalis, Canis dirus, Megalonyx jeffersonii, and Nothrotheriops shastensis are also present, and newly recognized faunal components include micromammals, amphibians, snakes, and birds. Invertebrates, plant macrofossils, and pollen also occur in the deposits and provide important and complementary paleoenvironmental information. This field compendium highlights some of the classic stratigraphic sequences of the Las Vegas Formation within TUSK, emphasizes the significant hydrologic changes that occurred in the area during the recent geologic past, and examines the subsequent and repeated effect of rapid climate change on the local desert wetland ecosystem.
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Specifically, this practice can reduce soil erosion and water quality impairment from pesticides and fertilizer, improve ecosystem services and sustainability (e.g., serve as carbon sinks), and minimize impacts on global food supplies. The main goal of this study was to identify high-risk marginal croplands that are potentially suitable for growing cellulosic feedstock crops (e.g., switchgrass) in the US Great Plains (GP). Satellite-derived growing season Normalized Difference Vegetation Index, a switchgrass biomass productivity map obtained from a previous study, US Geological Survey (USGS) irrigation and crop masks, and US Department of Agriculture (USDA) crop indemnity maps for the GP were used in this study. Our hypothesis was that croplands with relatively low crop yield but high productivity potential for switchgrass may be suitable for converting to switchgrass. Areas with relatively low crop indemnity (crop indemnity <$2 157 068) were excluded from the suitable areas based on low probability of crop failures. Results show that approximately 650 000 ha of marginal croplands in the GP are potentially suitable for switchgrass development. The total estimated switchgrass biomass productivity gain from these suitable areas is about 5.9 million metric tons. Switchgrass can be cultivated in either lowland or upland regions in the GP depending on the local soil and environmental conditions. This study improves our understanding of ecosystem services and the sustainability of cropland systems in the GP. Results from this study provide useful information to land managers for making informed decisions regarding switchgrass development in the GP.
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In general, Golden-winged Warbler nest survival declined as each breeding season advanced, but nest survival was similar across management scenarios. Within each management scenario, vegetation variables had little influence on nest survival. Still, percent Rubus cover and density of >2 m tall shrubs were relevant in some management scenarios. All five management scenarios rarely attained recommended levels of nest site vegetation conditions for Golden-winged, yet nest survival was high. Fledgling productivity estimates for each management scenario ranged from 2.1 to 8.6 fledglings/10 hectares. Our results indicate that targeted habitat management for Golden-winged Warblers using a variety of management techniques on private lands has the capability to yield high nest survival and fledgling productivity, and thus have the potential to contribute to the species recovery.
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We conducted camera-trap surveys at Roan Mountain Highlands, Mitchell County, NC, during summer 2016 in a Picea rubens (Red Spruce)—Abies fraseri (Fraser Fir) forest. During the survey, we observed a Long-tailed Weasel at 1893 m in elevation and an Eastern Chipmunk at 1703 m in elevation. These are the highest-elevation records for both species in the eastern United States outside of Great Smoky Mountains National Park, and the highest elevation record for Longtailed Weasel in North Carolina.
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Traditional spatial boundary detection procedures that result in ecoregion maps are typically based on ecological potential (i.e. potential vegetation), and often fail to account for ongoing changes due to stressors such as land use change and climate change and their effects on plant and animal communities. We use Fisher information, an information theory-based method, on both terrestrial and aquatic animal data (U.S. Breeding Bird Survey and marine zooplankton) to identify ecological boundaries, and compare our results to traditional early warning indicators, conventional ecoregion maps and multivariate analyses such as nMDS and cluster analysis. We successfully detected spatial regimes and transitions in both terrestrial and aquatic systems using Fisher information. Furthermore, Fisher information provided explicit spatial information about community change that is absent from other multivariate approaches. Our results suggest that defining spatial regimes based on animal communities may better reflect ecological reality than do traditional ecoregion maps, especially in our current era of rapid and unpredictable ecological change.
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","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Living shorelines: The science and management of nature-based coastal protection","language":"English","publisher":"CRC Research Press","isbn":"9781498740029","usgsCitation":"Bilkovic, D.M., Mitchell, M.M., Toft, J.D., and LaPeyre, M.K., 2017, A primer to living shorelines, chap. of Living shorelines: The science and management of nature-based coastal protection.","ipdsId":"IP-078836","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":350612,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":350611,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.crcpress.com/Living-Shorelines-The-Science-and-Management-of-Nature-Based-Coastal-Protection/Bilkovic-Mitchell-Peyre-Toft/p/book/9781498740029"}],"publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a6afac5e4b06e28e9c9a8f4","contributors":{"authors":[{"text":"Bilkovic, Donna Marie","contributorId":201478,"corporation":false,"usgs":false,"family":"Bilkovic","given":"Donna","email":"","middleInitial":"Marie","affiliations":[],"preferred":false,"id":725819,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mitchell, Molly M.","contributorId":201479,"corporation":false,"usgs":false,"family":"Mitchell","given":"Molly","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":725820,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Toft, Jason D.","contributorId":201480,"corporation":false,"usgs":false,"family":"Toft","given":"Jason","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":725821,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"LaPeyre, Megan K. 0000-0001-9936-2252 mlapeyre@usgs.gov","orcid":"https://orcid.org/0000-0001-9936-2252","contributorId":585,"corporation":false,"usgs":true,"family":"LaPeyre","given":"Megan","email":"mlapeyre@usgs.gov","middleInitial":"K.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":713837,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70192025,"text":"70192025 - 2017 - Evaluation of modeled bacteria loads along an impaired stream reach receiving discharge from a municipal separate storm sewer system in Independence, Mo.","interactions":[],"lastModifiedDate":"2018-02-27T13:35:22","indexId":"70192025","displayToPublicDate":"2017-01-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Evaluation of modeled bacteria loads along an impaired stream reach receiving discharge from a municipal separate storm sewer system in Independence, Mo.","docAbstract":"The Little Blue River in Jackson County, Missouri, was listed as impaired in 2012 due to Escherichia coli (E. coli) from urban runoff and storm sewers. A study was initiated to characterize E. coli concentrations and loads to aid in the development of a total maximum daily load implementation plan. Longitudinal sampling along the stream revealed spatial and temporal variability in E. coli loads. Regression models were developed to better represent E. coli variability in the impaired reach using continuous hydrologic and water-quality parameters as predictive parameters. Daily loads calculated from main-stem samples were significantly higher downstream compared to upstream even though there was no significant difference between the upstream and downstream measured concentrations and no significant conclusions could be drawn from model-estimated loads due to model-associated uncertainty. Increasing sample frequency could decrease the bias and increase the accuracy of the modeled results.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Proceedings of the Water Environment Federation, WEFTEC 2017","largerWorkSubtype":{"id":12,"text":"Conference publication"},"language":"English","publisher":"Water Environment Federation","doi":"10.2175/193864717822156730","usgsCitation":"Flickinger, A., and Christensen, E.D., 2017, Evaluation of modeled bacteria loads along an impaired stream reach receiving discharge from a municipal separate storm sewer system in Independence, Mo., in Proceedings of the Water Environment Federation, WEFTEC 2017, p. 4753-4782, https://doi.org/10.2175/193864717822156730.","productDescription":"30 p.","startPage":"4753","endPage":"4782","ipdsId":"IP-087590","costCenters":[{"id":396,"text":"Missouri Water Science Center","active":true,"usgs":true}],"links":[{"id":438459,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F77W6B4Z","text":"USGS data release","linkHelpText":"Escherichia coli data and continuous hydrologic and physical parameters at U.S. Geological Survey (USGS) streamgage sites on the Little Blue River and its tributaries in Independence, MO"},{"id":352084,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Missouri","city":"Independence","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5afee8f7e4b0da30c1bfc4f8","contributors":{"authors":[{"text":"Flickinger, Allison aflickinger@usgs.gov","contributorId":197591,"corporation":false,"usgs":true,"family":"Flickinger","given":"Allison","email":"aflickinger@usgs.gov","affiliations":[],"preferred":true,"id":713863,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Christensen, Eric D. echriste@usgs.gov","contributorId":4230,"corporation":false,"usgs":true,"family":"Christensen","given":"Eric","email":"echriste@usgs.gov","middleInitial":"D.","affiliations":[{"id":396,"text":"Missouri Water Science Center","active":true,"usgs":true}],"preferred":true,"id":713864,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70192002,"text":"70192002 - 2017 - Comparison of oyster populations, shoreline protection service, and site characteristics at seven created fringing reefs in Louisiana: Key parameters and responses to consider","interactions":[],"lastModifiedDate":"2018-01-25T13:07:45","indexId":"70192002","displayToPublicDate":"2017-01-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Comparison of oyster populations, shoreline protection service, and site characteristics at seven created fringing reefs in Louisiana: Key parameters and responses to consider","docAbstract":"Coastal erosion threatens many low-lying areas around the globe. Rising sea levels from climate change are expected to increase coastal erosion and exacerbate flooding and storm surges. This is particularly true in low-lying coastal Louisiana, which developed as the Mississippi River changed course (delta switching) over the past 7000 years. Periods of land loss and gain resulted in an intricate coastal environment composed of shallow water areas with wetlands, swamps, barrier islands, and ridges (Day et al. 2007). This complex habitat sustains high economic and biological productivity, supporting the largest commercial fishery in the lower 48 states, providing habitat for important species of fish and wildlife, mitigating storm surge, and delivering protection for oil and gas production facilities, including five of the nation’s largest ports. Because of past and ongoing geological and physical processes, such as subsidence, sea level rise, tropical cyclonic activity, and direct human activities (Barras 2009; Chmura et al. 1992; Georgiou et al. 2005), coastal Louisiana is estimated to have lost an area almost the size of Delaware (4877 km2) between 1932 and 2010, with recent analyses indicating losses averaging 42.9 km2/year (Couvillion et al. 2011).
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Living shorelines: The science and management of nature-based coastal protection","language":"English","publisher":"CRC Research Press","isbn":"9781498740029","usgsCitation":"LaPeyre, M.K., Schwarting Miller, L., Miller, S., and Melancon, E., 2017, Comparison of oyster populations, shoreline protection service, and site characteristics at seven created fringing reefs in Louisiana: Key parameters and responses to consider, chap. of Living shorelines: The science and management of nature-based coastal protection, 20 p.","productDescription":"20 p.","ipdsId":"IP-069979","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":350608,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":350607,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.crcpress.com/Living-Shorelines-The-Science-and-Management-of-Nature-Based-Coastal-Protection/Bilkovic-Mitchell-Peyre-Toft/p/book/9781498740029"}],"publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a6afac5e4b06e28e9c9a8f6","contributors":{"authors":[{"text":"LaPeyre, Megan K. 0000-0001-9936-2252 mlapeyre@usgs.gov","orcid":"https://orcid.org/0000-0001-9936-2252","contributorId":585,"corporation":false,"usgs":true,"family":"LaPeyre","given":"Megan","email":"mlapeyre@usgs.gov","middleInitial":"K.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":713829,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Schwarting Miller, Lindsay","contributorId":200035,"corporation":false,"usgs":false,"family":"Schwarting Miller","given":"Lindsay","email":"","affiliations":[],"preferred":false,"id":725816,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Miller, Shea","contributorId":103544,"corporation":false,"usgs":true,"family":"Miller","given":"Shea","email":"","affiliations":[],"preferred":false,"id":725817,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Melancon, Earl","contributorId":201481,"corporation":false,"usgs":false,"family":"Melancon","given":"Earl","email":"","affiliations":[],"preferred":false,"id":725818,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70192519,"text":"70192519 - 2017 - Mapping tree canopy cover in support of proactive prairie grouse conservation in western North America","interactions":[],"lastModifiedDate":"2017-10-26T13:39:12","indexId":"70192519","displayToPublicDate":"2017-01-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3228,"text":"Rangeland Ecology and Management","onlineIssn":"1551-5028","printIssn":"1550-7424","active":true,"publicationSubtype":{"id":10}},"title":"Mapping tree canopy cover in support of proactive prairie grouse conservation in western North America","docAbstract":"Invasive woody plant expansion is a primary threat driving fragmentation and loss of sagebrush (Artemisia spp.) and prairie habitats across the central and western United States. Expansion of native woody plants, including conifer (primarily Juniperus spp.) and mesquite (Prosopis spp.), over the past century is primarily attributable to wildfire suppression, historic periods of intensive livestock grazing, and changes in climate. To guide successful conservation programs aimed at reducing top-down stressors, we mapped invasive woody plants at regional scales to evaluate landscape level impacts, target restoration actions, and monitor restoration outcomes. Our overarching goal was to produce seamless regional products across sociopolitical boundaries with resolution fine enough to depict the spatial extent and degree of woody plant invasion relevant to greater sage-grouse (Centrocercus urophasianus) and lesser prairie-chicken (Tympanuchus pallidicinctus)conservation efforts. We mapped tree canopy cover at 1-m spatial resolution across an 11-state region (508 265 km2). Greater than 90% of occupied lesser prairie-chicken habitat was largely treeless for conifers (< 1% canopy cover), whereas > 67% was treeless for mesquite. Conifers in the higher canopy cover classes (16 − 50% and > 50% canopy cover) were scarce (< 2% and 1% canopy cover), as was mesquite (< 5% and 1% canopy cover). Occupied habitat by sage-grouse was more variable but also had a relatively large proportion of treeless areas (
In southeast New Hampshire, where reformulated gasoline was used from the 1990s to 2007, methyl tert-butyl ether (MtBE) concentrations ≥0.2 μg/L were found in water from 26.7% of 195 domestic wells sampled in 2005. Ten years later in 2015, and eight years after MtBE was banned, 10.3% continue to have MtBE. Most wells (140 of 195) had no MtBE detections (concentrations <0.2 μg/L) in 2005 and 2015. Of the remaining wells, MtBE concentrations increased in 4 wells, decreased in 47 wells, and did not change in 4 wells. On average, MtBE concentrations decreased 65% among 47 wells whereas MtBE concentrations increased 17% among 4 wells between 2005 and 2015. The percent change in detection frequency from 2005 to 2015 (the decontamination rate) was lowest (45.5%) in high-population-density areas and in wells completed in the Berwick Formation geologic units. The decontamination rate was the highest (78.6%) where population densities were low and wells were completed in bedrock composed of granite, metamorphic, and mafic rocks. Wells in the Berwick Formation are characteristically deeper and have lower yields than wells in other rock types and have shallower overburden cover, which may allow for more rapid transport of MtBE from land-surface releases. Low-yielding, deep bedrock wells may require large contributing areas to achieve adequate well yield, and thus have a greater chance of intercepting MtBE, in addition to diluting contaminants at a slower rate and thus requiring more time to decontaminate.
","language":"English","publisher":"ACS","doi":"10.1021/acs.est.6b04149","usgsCitation":"Flanagan, S., Levitt, J.P., and Ayotte, J.D., 2017, Trends in methyl tert-butyl ether concentrations in private wells in southeast New Hampshire: 2005 to 2015: Environmental Science & Technology, v. 51, no. 3, p. 1168-1175, https://doi.org/10.1021/acs.est.6b04149.","productDescription":"8 p.","startPage":"1168","endPage":"1175","ipdsId":"IP-074814","costCenters":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"links":[{"id":352954,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"New Hampshire","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -72.06207275390625,\n 42.70464124398721\n ],\n [\n -70.7025146484375,\n 42.70464124398721\n ],\n [\n -70.7025146484375,\n 43.624147145668076\n ],\n [\n -72.06207275390625,\n 43.624147145668076\n ],\n [\n -72.06207275390625,\n 42.70464124398721\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"51","issue":"3","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"noUsgsAuthors":false,"publicationDate":"2017-01-11","publicationStatus":"PW","scienceBaseUri":"5afee8f7e4b0da30c1bfc4f2","contributors":{"authors":[{"text":"Flanagan, Sarah 0000-0002-7728-0982 sflanaga@usgs.gov","orcid":"https://orcid.org/0000-0002-7728-0982","contributorId":198352,"corporation":false,"usgs":true,"family":"Flanagan","given":"Sarah","email":"sflanaga@usgs.gov","affiliations":[{"id":405,"text":"NH/VT office of New England Water Science Center","active":true,"usgs":true},{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":715778,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Levitt, Joseph P. 0000-0002-2058-9516 jlevitt@usgs.gov","orcid":"https://orcid.org/0000-0002-2058-9516","contributorId":198353,"corporation":false,"usgs":false,"family":"Levitt","given":"Joseph","email":"jlevitt@usgs.gov","middleInitial":"P.","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":715779,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ayotte, Joseph D. 0000-0002-1892-2738 jayotte@usgs.gov","orcid":"https://orcid.org/0000-0002-1892-2738","contributorId":149619,"corporation":false,"usgs":true,"family":"Ayotte","given":"Joseph","email":"jayotte@usgs.gov","middleInitial":"D.","affiliations":[{"id":405,"text":"NH/VT office of New England Water Science Center","active":true,"usgs":true},{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":715780,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70191830,"text":"70191830 - 2017 - Extreme geomagnetic storms: Probabilistic forecasts and their uncertainties","interactions":[],"lastModifiedDate":"2017-10-19T13:24:21","indexId":"70191830","displayToPublicDate":"2017-01-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3456,"text":"Space Weather","active":true,"publicationSubtype":{"id":10}},"title":"Extreme geomagnetic storms: Probabilistic forecasts and their uncertainties","docAbstract":"Extreme space weather events are low-frequency, high-risk phenomena. Estimating their rates of occurrence, as well as their associated uncertainties, is difficult. In this study, we derive statistical estimates and uncertainties for the occurrence rate of an extreme geomagnetic storm on the scale of the Carrington event (or worse) occurring within the next decade. We model the distribution of events as either a power law or lognormal distribution and use (1) Kolmogorov-Smirnov statistic to estimate goodness of fit, (2) bootstrapping to quantify the uncertainty in the estimates, and (3) likelihood ratio tests to assess whether one distribution is preferred over another. Our best estimate for the probability of another extreme geomagnetic event comparable to the Carrington event occurring within the next 10 years is 10.3% 95% confidence interval (CI) [0.9,18.7] for a power law distribution but only 3.0% 95% CI [0.6,9.0] for a lognormal distribution. However, our results depend crucially on (1) how we define an extreme event, (2) the statistical model used to describe how the events are distributed in intensity, (3) the techniques used to infer the model parameters, and (4) the data and duration used for the analysis. We test a major assumption that the data represent time stationary processes and discuss the implications. If the current trends persist, suggesting that we are entering a period of lower activity, our forecasts may represent upper limits rather than best estimates.
","language":"English","publisher":"AGU Publications","doi":"10.1002/2016SW001470","usgsCitation":"Riley, P., and Love, J.J., 2017, Extreme geomagnetic storms: Probabilistic forecasts and their uncertainties: Space Weather, v. 15, no. 1, p. 53-64, https://doi.org/10.1002/2016SW001470.","productDescription":"12 p.","startPage":"53","endPage":"64","ipdsId":"IP-081721","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":346971,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"15","issue":"1","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2017-01-10","publicationStatus":"PW","scienceBaseUri":"59e9b996e4b05fe04cd65cba","contributors":{"authors":[{"text":"Riley, Pete","contributorId":145704,"corporation":false,"usgs":false,"family":"Riley","given":"Pete","email":"","affiliations":[{"id":16202,"text":"Predictive Science Inc.","active":true,"usgs":false}],"preferred":false,"id":713249,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Love, Jeffrey J. 0000-0002-3324-0348 jlove@usgs.gov","orcid":"https://orcid.org/0000-0002-3324-0348","contributorId":760,"corporation":false,"usgs":true,"family":"Love","given":"Jeffrey","email":"jlove@usgs.gov","middleInitial":"J.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":713250,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70191836,"text":"70191836 - 2017 - Reexamination of the magnitudes for the 1906 and 1922 Chilean earthquakes using Japanese tsunami amplitudes: Implications for source depth constraints","interactions":[],"lastModifiedDate":"2017-10-18T14:32:17","indexId":"70191836","displayToPublicDate":"2017-01-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2314,"text":"Journal of Geophysical Research B: Solid Earth","active":true,"publicationSubtype":{"id":10}},"title":"Reexamination of the magnitudes for the 1906 and 1922 Chilean earthquakes using Japanese tsunami amplitudes: Implications for source depth constraints","docAbstract":"Far-field tsunami records from the Japanese tide gauge network allow the reexamination of the moment magnitudes (Mw) for the 1906 and 1922 Chilean earthquakes, which to date rely on limited information mainly from seismological observations alone. Tide gauges along the Japanese coast provide extensive records of tsunamis triggered by six great (Mw >8) Chilean earthquakes with instrumentally determined moment magnitudes. These tsunami records are used to explore the dependence of tsunami amplitudes in Japan on the parent earthquake magnitude of Chilean origin. Using the resulting regression parameters together with tide gauge amplitudes measured in Japan we estimate apparent moment magnitudes of Mw 8.0–8.2 and Mw8.5–8.6 for the 1906 central and 1922 north-central Chile earthquakes. The large discrepancy of the 1906 magnitude estimated from the tsunami observed in Japan as compared with those previously determined from seismic waves (Ms 8.4) suggests a deeper than average source with reduced tsunami excitation. A deep dislocation along the Chilean megathrust would favor uplift of the coast rather than beneath the sea, giving rise to a smaller tsunami and producing effects consistent with those observed in 1906. The 1922 magnitude inferred from far-field tsunami amplitudes appear to better explain the large extent of damage and the destructive tsunami that were locally observed following the earthquake than the lower seismic magnitudes (Ms 8.3) that were likely affected by the well-known saturation effects. Thus, a repeat of the large 1922 earthquake poses seismic and tsunami hazards in a region identified as a mature seismic gap.
","language":"English","publisher":"AGU","doi":"10.1002/2016JB013269","usgsCitation":"Carvajal, M., Cisternas, M., Gubler, A., Catalan, P.A., Winckler, P., and Wesson, R.L., 2017, Reexamination of the magnitudes for the 1906 and 1922 Chilean earthquakes using Japanese tsunami amplitudes: Implications for source depth constraints: Journal of Geophysical Research B: Solid Earth, v. 122, no. 1, p. 4-17, https://doi.org/10.1002/2016JB013269.","productDescription":"14 p.","startPage":"4","endPage":"17","ipdsId":"IP-083322","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":470246,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/2016jb013269","text":"Publisher Index Page"},{"id":346884,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"122","issue":"1","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2017-01-09","publicationStatus":"PW","scienceBaseUri":"59e86838e4b05fe04cd4d20e","contributors":{"authors":[{"text":"Carvajal, M.","contributorId":197359,"corporation":false,"usgs":false,"family":"Carvajal","given":"M.","email":"","affiliations":[],"preferred":false,"id":713300,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cisternas, M.","contributorId":193403,"corporation":false,"usgs":false,"family":"Cisternas","given":"M.","email":"","affiliations":[],"preferred":false,"id":713301,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gubler, A.","contributorId":197360,"corporation":false,"usgs":false,"family":"Gubler","given":"A.","email":"","affiliations":[],"preferred":false,"id":713302,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Catalan, P. A.","contributorId":197361,"corporation":false,"usgs":false,"family":"Catalan","given":"P.","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":713303,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Winckler, P.","contributorId":197362,"corporation":false,"usgs":false,"family":"Winckler","given":"P.","email":"","affiliations":[],"preferred":false,"id":713304,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Wesson, Robert L. 0000-0003-2702-0012 rwesson@usgs.gov","orcid":"https://orcid.org/0000-0003-2702-0012","contributorId":850,"corporation":false,"usgs":true,"family":"Wesson","given":"Robert","email":"rwesson@usgs.gov","middleInitial":"L.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":713305,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70192976,"text":"70192976 - 2017 - Remote measurement of surface-water velocity using infrared videography and PIV: a proof-of-concept for Alaskan rivers","interactions":[],"lastModifiedDate":"2018-02-15T10:51:40","indexId":"70192976","displayToPublicDate":"2017-01-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Remote measurement of surface-water velocity using infrared videography and PIV: a proof-of-concept for Alaskan rivers","docAbstract":"Thermal cameras with high sensitivity to medium and long wavelengths can resolve features at the surface of flowing water arising from turbulent mixing. \nImages acquired by these cameras can be processed with particle image velocimetry (PIV) to compute surface velocities based on the displacement of thermal features as they advect with the flow. \nWe conducted a series of field measurements to test this methodology for remote sensing of surface velocities in rivers. \nWe positioned an infrared video camera at multiple stations across bridges that spanned five rivers in Alaska. \nSimultaneous non-contact measurements of surface velocity were collected with a radar gun. \nIn situ velocity profiles were collected with Acoustic Doppler Current Profilers (ADCP). \nInfrared image time series were collected at a frequency of 10Hz for a one-minute duration at a number of stations spaced across each bridge. \nCommercial PIV software used a cross-correlation algorithm to calculate pixel displacements between successive frames, which were then scaled to produce surface velocities. \nA blanking distance below the ADCP prevents a direct measurement of the surface velocity. \nHowever, we estimated surface velocity from the ADCP measurements using a program that normalizes each ADCP transect and combines those normalized transects to compute a mean measurement profile. \nThe program can fit a power law to the profile and in so doing provides a velocity index, the ratio between the depth-averaged and surface velocity. \nFor the rivers in this study, the velocity index ranged from 0.82 – 0.92. Average radar and extrapolated ADCP surface velocities were in good agreement with average infrared PIV calculations.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"E-proceedings of the 37th IAHR World Congress","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"37th IAHR World Congress","conferenceDate":"August 13-18, 2017","conferenceLocation":"Kuala Lumpur, Malaysia","language":"English","publisher":"IAHR","usgsCitation":"Kinzel, P.J., Legleiter, C.J., Nelson, J.M., and Conaway, J.S., 2017, Remote measurement of surface-water velocity using infrared videography and PIV: a proof-of-concept for Alaskan rivers, in E-proceedings of the 37th IAHR World Congress, Kuala Lumpur, Malaysia, August 13-18, 2017, p. 1-9.","productDescription":"9 p.","startPage":"1","endPage":"9","ipdsId":"IP-085349","costCenters":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"links":[{"id":351648,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":351647,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.iahrworldcongress.org/index.php/submission/congress-proceedings"}],"publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5afee8ebe4b0da30c1bfc4e4","contributors":{"authors":[{"text":"Kinzel, Paul J. 0000-0002-6076-9730 pjkinzel@usgs.gov","orcid":"https://orcid.org/0000-0002-6076-9730","contributorId":743,"corporation":false,"usgs":true,"family":"Kinzel","given":"Paul","email":"pjkinzel@usgs.gov","middleInitial":"J.","affiliations":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":717507,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Legleiter, Carl J. 0000-0003-0940-8013 cjl@usgs.gov","orcid":"https://orcid.org/0000-0003-0940-8013","contributorId":169002,"corporation":false,"usgs":true,"family":"Legleiter","given":"Carl","email":"cjl@usgs.gov","middleInitial":"J.","affiliations":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":717508,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Nelson, Jonathan M. 0000-0002-7632-8526 jmn@usgs.gov","orcid":"https://orcid.org/0000-0002-7632-8526","contributorId":2812,"corporation":false,"usgs":true,"family":"Nelson","given":"Jonathan","email":"jmn@usgs.gov","middleInitial":"M.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"preferred":true,"id":717509,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Conaway, Jeffrey S. 0000-0002-3036-592X jconaway@usgs.gov","orcid":"https://orcid.org/0000-0002-3036-592X","contributorId":2026,"corporation":false,"usgs":true,"family":"Conaway","given":"Jeffrey","email":"jconaway@usgs.gov","middleInitial":"S.","affiliations":[{"id":120,"text":"Alaska Science Center Water","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":717510,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70192865,"text":"70192865 - 2017 - Adaptive management of rangeland systems","interactions":[],"lastModifiedDate":"2018-01-26T16:10:04","indexId":"70192865","displayToPublicDate":"2017-01-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Adaptive management of rangeland systems","docAbstract":"Adaptive management is an approach to natural resource management that uses structured learning to reduce uncertainties for the improvement of management over time. The origins of adaptive management are linked to ideas of resilience theory and complex systems. Rangeland management is particularly well suited for the application of adaptive management, having sufficient controllability and reducible uncertainties. Adaptive management applies the tools of structured decision making and requires monitoring, evaluation, and adjustment of management. Adaptive governance, involving sharing of power and knowledge among relevant stakeholders, is often required to address conflict situations. Natural resource laws and regulations can present a barrier to adaptive management when requirements for legal certainty are met with environmental uncertainty. However, adaptive management is possible, as illustrated by two cases presented in this chapter. Despite challenges and limitations, when applied appropriately adaptive management leads to improved management through structured learning, and rangeland management is an area in which adaptive management shows promise and should be further explored.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Rangeland Systems: Processes, Management and Challenges","language":"English","publisher":"Springer","doi":"10.1007/978-3-319-46709-2_11","usgsCitation":"Allen, C.R., Angeler, D., Fontaine, J.J., Garmestani, A.S., Hart, N.M., Pope, K.L., and Twidwell, D., 2017, Adaptive management of rangeland systems, chap. of Rangeland Systems: Processes, Management and Challenges, p. 373-394, https://doi.org/10.1007/978-3-319-46709-2_11.","productDescription":"22 p.","startPage":"373","endPage":"394","ipdsId":"IP-068646","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":490034,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/978-3-319-46709-2_11","text":"Publisher Index Page"},{"id":350719,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2017-04-14","publicationStatus":"PW","scienceBaseUri":"5a6c4c94e4b06e28e9cabafe","contributors":{"authors":[{"text":"Allen, Craig R. 0000-0001-8655-8272 allencr@usgs.gov","orcid":"https://orcid.org/0000-0001-8655-8272","contributorId":1979,"corporation":false,"usgs":true,"family":"Allen","given":"Craig","email":"allencr@usgs.gov","middleInitial":"R.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":726009,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Angeler, David G.","contributorId":25027,"corporation":false,"usgs":true,"family":"Angeler","given":"David G.","affiliations":[],"preferred":false,"id":726010,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fontaine, Joseph J. 0000-0002-7639-9156 jfontaine@usgs.gov","orcid":"https://orcid.org/0000-0002-7639-9156","contributorId":3820,"corporation":false,"usgs":true,"family":"Fontaine","given":"Joseph","email":"jfontaine@usgs.gov","middleInitial":"J.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":726011,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Garmestani, Ahjond S.","contributorId":77285,"corporation":false,"usgs":true,"family":"Garmestani","given":"Ahjond","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":726012,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hart, Noelle M.","contributorId":82208,"corporation":false,"usgs":true,"family":"Hart","given":"Noelle","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":726013,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Pope, Kevin L. 0000-0003-1876-1687 kpope@usgs.gov","orcid":"https://orcid.org/0000-0003-1876-1687","contributorId":1574,"corporation":false,"usgs":true,"family":"Pope","given":"Kevin","email":"kpope@usgs.gov","middleInitial":"L.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":717243,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Twidwell, Dirac","contributorId":187431,"corporation":false,"usgs":false,"family":"Twidwell","given":"Dirac","email":"","affiliations":[],"preferred":false,"id":726014,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70193356,"text":"70193356 - 2017 - Episodic formation of the world-class Waihi epithermal Au-Ag vein system, Hauraki Goldfield, New Zealand","interactions":[],"lastModifiedDate":"2018-02-28T11:53:19","indexId":"70193356","displayToPublicDate":"2017-01-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Episodic formation of the world-class Waihi epithermal Au-Ag vein system, Hauraki Goldfield, New Zealand","docAbstract":"The world-class Waihi vein system in New Zealand has produced more than 248,400 kg Au and 1.43 million kg Ag. New high-precision 40Ar/39Ar dates of adularia from different veins show that some veins formed at different times (6.15 Ma Martha vs. 5.83 and 5.85 Ma Empire and Welcome, respectively), even though they have similar mineralogy. The Martha vein formed over a period of approximately 150,000 years. The Moonlight vein, which has a different ore mineral assemblage, appears to have formed over a longer time interval that spanned formation of the Martha, Welcome, and Empire veins. These dates suggest that some veins in the Waihi vein system formed relatively quickly during only part of the lifetime of the hydrothermal system, whereas other veins may have formed over longer periods of time. However, the Au endowment of the Martha vein exceeds the Au endowment of the Moonlight vein, indicating that the total lifetime of the vein-forming hydrothermal system does not determine metal endowment.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Mineral Resources to Discover - Volume 1, Proceeding of the 14th Biennial SGA Meeting","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"14th Biennial SGA Meeting","conferenceDate":"August 20-23, 2015","language":"English","publisher":"Society for Geology Applied to Mineral Deposits","isbn":"978-2-9816898-0-1","usgsCitation":"Gasston, E., Mauk, J.L., Cosca, M.A., Morgan, L.E., and Hall, C.M., 2017, Episodic formation of the world-class Waihi epithermal Au-Ag vein system, Hauraki Goldfield, New Zealand, in Mineral Resources to Discover - Volume 1, Proceeding of the 14th Biennial SGA Meeting, v. 1, August 20-23, 2015, p. 35-38.","productDescription":"4 p.","startPage":"35","endPage":"38","ipdsId":"IP-086416","costCenters":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"links":[{"id":352129,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"1","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5afee8ebe4b0da30c1bfc4e2","contributors":{"authors":[{"text":"Gasston, Erin","contributorId":199365,"corporation":false,"usgs":false,"family":"Gasston","given":"Erin","email":"","affiliations":[],"preferred":false,"id":718808,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mauk, Jeffrey L. 0000-0002-6244-2774 jmauk@usgs.gov","orcid":"https://orcid.org/0000-0002-6244-2774","contributorId":4101,"corporation":false,"usgs":true,"family":"Mauk","given":"Jeffrey","email":"jmauk@usgs.gov","middleInitial":"L.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":718807,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cosca, Michael A. 0000-0002-0600-7663 mcosca@usgs.gov","orcid":"https://orcid.org/0000-0002-0600-7663","contributorId":1000,"corporation":false,"usgs":true,"family":"Cosca","given":"Michael","email":"mcosca@usgs.gov","middleInitial":"A.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":718809,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Morgan, Leah E. 0000-0001-9930-524X lemorgan@usgs.gov","orcid":"https://orcid.org/0000-0001-9930-524X","contributorId":176174,"corporation":false,"usgs":true,"family":"Morgan","given":"Leah","email":"lemorgan@usgs.gov","middleInitial":"E.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":718810,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hall, Chris M. 0000-0002-0372-2629","orcid":"https://orcid.org/0000-0002-0372-2629","contributorId":199366,"corporation":false,"usgs":false,"family":"Hall","given":"Chris","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":718811,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70193167,"text":"70193167 - 2017 - Validation of daily increments periodicity in otoliths of spotted gar","interactions":[],"lastModifiedDate":"2017-11-20T15:37:49","indexId":"70193167","displayToPublicDate":"2017-01-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3909,"text":"Journal of the Southeastern Association of Fish and Wildlife Agencies","active":true,"publicationSubtype":{"id":10}},"title":"Validation of daily increments periodicity in otoliths of spotted gar","docAbstract":"Accurate age and growth information is essential in successful management of fish populations and for understanding early life history. We validated daily increment deposition, including the timing of first ring formation, for spotted gar (Lepisosteus oculatus) through 127 days post hatch. Fry were produced from hatchery-spawned specimens, and up to 10 individuals per week were sacrificed and their otoliths (sagitta, lapillus, and asteriscus) removed for daily age estimation. Daily age estimates for all three otolith pairs were significantly related to known age. The strongest relationships existed for measurements from the sagitta (r2 = 0.98) and the lapillus (r2 = 0.99) with asteriscus (r2 = 0.95) the lowest. All age prediction models resulted in a slope near unity, indicating that ring deposition occurred approximately daily. Initiation of ring formation varied among otolith types, with deposition beginning 3, 7, and 9 days for the sagitta, lapillus, and asteriscus, respectively. Results of this study suggested that otoliths are useful to estimate daily age of spotted gar juveniles; these data may be used to back calculate hatch dates, estimate early growth rates, and correlate with environmental factor that influence spawning in wild populations. is early life history information will be valuable in better understanding the ecology of this species.
","language":"English","publisher":"Southeastern Association of Fish and Wildlife Agencies","usgsCitation":"Snow, R.A., Long, J.M., and Frenette, B.D., 2017, Validation of daily increments periodicity in otoliths of spotted gar: Journal of the Southeastern Association of Fish and Wildlife Agencies, v. 4, p. 60-65.","productDescription":"6 p.","startPage":"60","endPage":"65","ipdsId":"IP-077724","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":349158,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":349157,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.seafwa.org/publications/journal/?id=402080"}],"volume":"4","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a60fc3de4b06e28e9c23bf9","contributors":{"authors":[{"text":"Snow, Richard A.","contributorId":176213,"corporation":false,"usgs":false,"family":"Snow","given":"Richard","email":"","middleInitial":"A.","affiliations":[{"id":27443,"text":"Oklahoma Department of Wildlife Conservation","active":true,"usgs":false}],"preferred":false,"id":722924,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Long, James M. 0000-0002-8658-9949 jmlong@usgs.gov","orcid":"https://orcid.org/0000-0002-8658-9949","contributorId":3453,"corporation":false,"usgs":true,"family":"Long","given":"James","email":"jmlong@usgs.gov","middleInitial":"M.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":718115,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Frenette, Bryan D.","contributorId":200628,"corporation":false,"usgs":false,"family":"Frenette","given":"Bryan","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":722925,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70187262,"text":"70187262 - 2017 - An integrated moral obligation model for landowner conservation norms","interactions":[],"lastModifiedDate":"2017-04-27T11:10:16","indexId":"70187262","displayToPublicDate":"2017-01-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3404,"text":"Society & Natural Resources: An International Journal","active":true,"publicationSubtype":{"id":10}},"title":"An integrated moral obligation model for landowner conservation norms","docAbstract":"This study applies an integrated moral obligation model to examine the role of environmental and cultural values, and beliefs in the activation of landowner conservation norms. Data for this study were collected through a self-administered survey of riparian landowners in two Minnesota watersheds: Sand Creek and Vermillion River watersheds. Study findings suggest that collectivistic and biospheric–altruistic values form the bases for the activation of personal norms. Further, beliefs about local responsibility and ability to act influence personal norms to protect water resources. Findings suggest that landowners’ personal norms of water conservation are more likely to be activated by conservation strategies that appeal to biospheric–altruistic and collectivistic values, emphasize adverse consequences of water pollution, highlight water resource protection as a local responsibility, and provide the resources needed to protect water resources.
","language":"English","publisher":"Taylor & Francis","doi":"10.1080/08941920.2016.1239289","usgsCitation":"Pradhananga, A.K., Davenport, M.A., Fulton, D.C., Maruyama, G.M., and Current, D., 2017, An integrated moral obligation model for landowner conservation norms: Society & Natural Resources: An International Journal, v. 30, no. 2, p. 212-227, https://doi.org/10.1080/08941920.2016.1239289.","productDescription":"16 p.","startPage":"212","endPage":"227","ipdsId":"IP-056505","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":340498,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"30","issue":"2","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2016-10-31","publicationStatus":"PW","scienceBaseUri":"59030324e4b0e862d230f71d","contributors":{"authors":[{"text":"Pradhananga, Amit K.","contributorId":191478,"corporation":false,"usgs":false,"family":"Pradhananga","given":"Amit","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":693179,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Davenport, Mae A.","contributorId":191479,"corporation":false,"usgs":false,"family":"Davenport","given":"Mae","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":693180,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fulton, David C. 0000-0001-5763-7887 dcf@usgs.gov","orcid":"https://orcid.org/0000-0001-5763-7887","contributorId":2208,"corporation":false,"usgs":true,"family":"Fulton","given":"David","email":"dcf@usgs.gov","middleInitial":"C.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":693120,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Maruyama, Geoffrey M.","contributorId":191480,"corporation":false,"usgs":false,"family":"Maruyama","given":"Geoffrey","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":693181,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Current, Dean","contributorId":191481,"corporation":false,"usgs":false,"family":"Current","given":"Dean","email":"","affiliations":[],"preferred":false,"id":693182,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70188787,"text":"70188787 - 2017 - A 600-year-long stratigraphic record of tsunamis in south-central Chile","interactions":[],"lastModifiedDate":"2017-06-23T15:43:28","indexId":"70188787","displayToPublicDate":"2017-01-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3562,"text":"The Holocene","active":true,"publicationSubtype":{"id":10}},"title":"A 600-year-long stratigraphic record of tsunamis in south-central Chile","docAbstract":"The stratigraphy within coastal river valleys in south-central Chile clarifies and extends the region’s history of large, earthquakes and accompanying tsunamis. Our site at Quidico (38.1°S, 73.3°W) is located in an overlap zone between ruptures of magnitude 8–9 earthquakes in 1960 and 2010, and, therefore, records tsunamis originating from subduction-zone ruptures north and south of the city of Concepción. Hand-dug pits and cores in a 3-m-thick sequence of freshwater peat in an abandoned meander (a little-examined depositional environment for tsunami deposits) and exposures along the Quidico River show five sand beds that extend as much as 1.2 km inland. Evidence for deposition of the beds by tsunamis includes tabular sand beds that are laterally extensive (>100 m), well sorted, fine upward, have sharp lower contacts, and contain diatom assemblages dominated by brackish and marine taxa. Using eyewitness accounts of tsunami inundation, 137Cs analyses, and 14C dating, we matched the upper four sand beds with historical tsunamis in 2010, 1960, 1835, and 1751. The oldest prehistoric bed dates to 1445–1490 CE and correlates with lacustrine and coastal records of similar-aged earthquakes and tsunamis in south-central Chile.
","language":"English","publisher":"SAGE","doi":"10.1177/0959683616646191","usgsCitation":"Hong, I., Dura, T., Ely, L.L., Horton, B.P., Nelson, A.R., Cisternas, M., Nikitina, D., and Wesson, R.L., 2017, A 600-year-long stratigraphic record of tsunamis in south-central Chile: The Holocene, v. 27, no. 1, p. 39-51, https://doi.org/10.1177/0959683616646191.","productDescription":"13 p.","startPage":"39","endPage":"51","ipdsId":"IP-074503","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":342830,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Chile","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -76.1572265625,\n -47.27922900257082\n ],\n [\n -70.3564453125,\n -47.27922900257082\n ],\n [\n -70.3564453125,\n -30.864510226258346\n ],\n [\n -76.1572265625,\n -30.864510226258346\n ],\n [\n -76.1572265625,\n -47.27922900257082\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"27","issue":"1","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2016-07-28","publicationStatus":"PW","scienceBaseUri":"594e28b6e4b062508e3abe28","contributors":{"authors":[{"text":"Hong, Isabel","contributorId":193398,"corporation":false,"usgs":false,"family":"Hong","given":"Isabel","email":"","affiliations":[{"id":12727,"text":"Rutgers University","active":true,"usgs":false}],"preferred":false,"id":700360,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dura, Tina","contributorId":48482,"corporation":false,"usgs":true,"family":"Dura","given":"Tina","affiliations":[],"preferred":false,"id":700361,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ely, Lisa L.","contributorId":19854,"corporation":false,"usgs":true,"family":"Ely","given":"Lisa","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":700362,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Horton, Benajamin P.","contributorId":192918,"corporation":false,"usgs":false,"family":"Horton","given":"Benajamin","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":700363,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Nelson, Alan R. 0000-0001-7117-7098 anelson@usgs.gov","orcid":"https://orcid.org/0000-0001-7117-7098","contributorId":812,"corporation":false,"usgs":true,"family":"Nelson","given":"Alan","email":"anelson@usgs.gov","middleInitial":"R.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":700364,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Cisternas, Marco","contributorId":120988,"corporation":false,"usgs":true,"family":"Cisternas","given":"Marco","affiliations":[],"preferred":false,"id":700365,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Nikitina, Daria","contributorId":193404,"corporation":false,"usgs":false,"family":"Nikitina","given":"Daria","email":"","affiliations":[{"id":16171,"text":"West Chester University","active":true,"usgs":false}],"preferred":false,"id":700366,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Wesson, Robert L. 0000-0003-2702-0012 rwesson@usgs.gov","orcid":"https://orcid.org/0000-0003-2702-0012","contributorId":850,"corporation":false,"usgs":true,"family":"Wesson","given":"Robert","email":"rwesson@usgs.gov","middleInitial":"L.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":700367,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70186020,"text":"70186020 - 2017 - Quantifying the relative contribution of an ecological reserve to conservation objectives","interactions":[],"lastModifiedDate":"2017-03-30T15:18:26","indexId":"70186020","displayToPublicDate":"2017-01-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3871,"text":"Global Ecology and Conservation","active":true,"publicationSubtype":{"id":10}},"title":"Quantifying the relative contribution of an ecological reserve to conservation objectives","docAbstract":"Evaluating the role public lands play in meeting conservation goals is an essential step in good governance. We present a tool for comparing the regional contribution of each of a suite of wildlife management units to conservation goals. We use weighted summation (simple additive weighting) to compute a Unit Contribution Index (UCI) based on species richness, population abundance, and a conservation score based on IUCN Red List classified threat levels. We evaluate UCI for a subset of the 729 participating wetlands of the Integrated Waterbird Management and Monitoring (IWMM) Program across U.S. Fish and Wildlife Service Regions 3 (Midwest USA), 4 (Southeast USA), and 5 (Northeast USA). We found that the median across-Region UCI for Region 5 was greater than Regions 3 and 4, while Region 4 had the greatest within-Region UCI median. This index is a powerful tool for wildlife managers to evaluate the performance of units within the conservation estate.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.gecco.2017.01.002","usgsCitation":"Aagaard, K., Lyons, J.E., and Thogmartin, W.E., 2017, Quantifying the relative contribution of an ecological reserve to conservation objectives: Global Ecology and Conservation, v. 9, p. 142-147, https://doi.org/10.1016/j.gecco.2017.01.002.","productDescription":"6 p.","startPage":"142","endPage":"147","ipdsId":"IP-079772","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":470174,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.gecco.2017.01.002","text":"Publisher Index Page"},{"id":338844,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"9","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58de194fe4b02ff32c699ca3","contributors":{"authors":[{"text":"Aagaard, Kevin 0000-0003-0756-2172 kaagaard@usgs.gov","orcid":"https://orcid.org/0000-0003-0756-2172","contributorId":147393,"corporation":false,"usgs":true,"family":"Aagaard","given":"Kevin","email":"kaagaard@usgs.gov","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":687363,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lyons, James E. 0000-0002-9810-8751 jelyons@usgs.gov","orcid":"https://orcid.org/0000-0002-9810-8751","contributorId":177546,"corporation":false,"usgs":true,"family":"Lyons","given":"James","email":"jelyons@usgs.gov","middleInitial":"E.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":false,"id":687364,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Thogmartin, Wayne E. 0000-0002-2384-4279 wthogmartin@usgs.gov","orcid":"https://orcid.org/0000-0002-2384-4279","contributorId":2545,"corporation":false,"usgs":true,"family":"Thogmartin","given":"Wayne","email":"wthogmartin@usgs.gov","middleInitial":"E.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":687365,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ]}