{"pageNumber":"1792","pageRowStart":"44775","pageSize":"25","recordCount":184633,"records":[{"id":70192785,"text":"70192785 - 2011 - Front matter: Preface, acknowledgements, table of contents","interactions":[],"lastModifiedDate":"2018-02-01T14:57:48","indexId":"70192785","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"seriesTitle":{"id":5382,"text":"AAPG Studies in Geology","active":false,"publicationSubtype":{"id":24}},"seriesNumber":"62","title":"Front matter: Preface, acknowledgements, table of contents","docAbstract":"This volume is the fifth in a series of reports by the U.S. Geological Survey (USGS) on the assessment of the quantity\nand quality of the nation’s coal deposits that potentially could be mined during the next few decades. For eight\nyears (1995-2003), geologic, geochemical, and resource information was collected and compiled for the five major\ncoal-producing regions of the United States: the Appalachian Basin, Illinois Basin, Northern Rocky Mountains and\nGreat Plains, Colorado Plateau, and the western part of the Gulf of Mexico Coastal Plain (Gulf Coast) region. The\nresults of these other USGS coal assessments may be found at: http://energy.cr.usgs.gov/coal/coal_assessments/\nindex.html and a summary of the results from all assessment areas can be found in Ruppert et al. (2002) and Dennen\n(2009). This volume contains the assessment results for the Gulf Coast region. The contents of this volume were\ncompiled mainly during the eight-year period mentioned above. However, every effort has been made to update the\nreferences and text to incorporate new work that has been completed since the original compilation period.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Discovery Series / Studies in Geology","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Geologic assessment of coal in the Gulf of Mexico coastal plain: AAPG Studies in Geology vol. 62","isbn":" 9781629810256","usgsCitation":"2011, Front matter: Preface, acknowledgements, table of contents, chap. <i>of</i> Discovery Series / Studies in Geology: AAPG Studies in Geology, v. 62, p. i-ix.","productDescription":"ix p.","startPage":"i","endPage":"ix","ipdsId":"IP-020463","costCenters":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":350903,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":350902,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.geoscienceworld.org/books/book/1259/chapter/107077674/front-matter"}],"volume":"62","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a743586e4b0a9a2e9e25cb2","contributors":{"editors":[{"text":"Warwick, Peter D. 0000-0002-3152-7783 pwarwick@usgs.gov","orcid":"https://orcid.org/0000-0002-3152-7783","contributorId":762,"corporation":false,"usgs":true,"family":"Warwick","given":"Peter","email":"pwarwick@usgs.gov","middleInitial":"D.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":false,"id":726413,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Karlsen, Alexander K.","contributorId":44089,"corporation":false,"usgs":false,"family":"Karlsen","given":"Alexander K.","affiliations":[],"preferred":false,"id":726414,"contributorType":{"id":2,"text":"Editors"},"rank":2},{"text":"Merrill, Matthew D. 0000-0003-3766-847X mmerrill@usgs.gov","orcid":"https://orcid.org/0000-0003-3766-847X","contributorId":2584,"corporation":false,"usgs":true,"family":"Merrill","given":"Matthew D.","email":"mmerrill@usgs.gov","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":false,"id":726415,"contributorType":{"id":2,"text":"Editors"},"rank":3},{"text":"Valentine, Brett J. 0000-0002-8678-2431 bvalentine@usgs.gov","orcid":"https://orcid.org/0000-0002-8678-2431","contributorId":3846,"corporation":false,"usgs":true,"family":"Valentine","given":"Brett","email":"bvalentine@usgs.gov","middleInitial":"J.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true},{"id":255,"text":"Energy Resources Program","active":true,"usgs":true}],"preferred":true,"id":726416,"contributorType":{"id":2,"text":"Editors"},"rank":4}]}}
,{"id":70193204,"text":"70193204 - 2011 - Remote sensing and geospatial support to burned area emergency response teams","interactions":[],"lastModifiedDate":"2017-12-18T14:39:29","indexId":"70193204","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1639,"text":"Fire Management Today","active":true,"publicationSubtype":{"id":10}},"title":"Remote sensing and geospatial support to burned area emergency response teams","docAbstract":"<p>A major concern of land managers in the United States is the response of watersheds to weather after a wildfire. With an ever-expanding wildland-urban interface (WUI), land managers must be cognizant of potential damage to private property and other values at risk. In the United States, land-management agencies from the U.S. Department of Agriculture (USDA) and the U.S. Department of the Interior (DOI) deploy Burned Area Emergency Response (BAER) teams to address these concerns and to “prescribe and implement emergency treatments to minimize threats to life or property or to stabilize and prevent unacceptable degradation to natural and cultural resources resulting from the effects of a fire” (USDA Forest Service 2004, p. 17). BAER teams’ objective is emergency stabilization of burned areas, rather than long-term restoration of the landscape after a fire. </p>","language":"English","publisher":"United States Department of Agriculture, Forest Service ","usgsCitation":"McKinley, R., and Clark, J., 2011, Remote sensing and geospatial support to burned area emergency response teams: Fire Management Today, v. 71, no. 2, p. 15-18.","productDescription":"4 p.","startPage":"15","endPage":"18","ipdsId":"IP-028815","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":350091,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":347800,"type":{"id":11,"text":"Document"},"url":"https://www.fs.fed.us/fire/fmt/fmt_pdfs/FMT71-2.pdf"}],"volume":"71","issue":"2","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a6107fde4b06e28e9c25634","contributors":{"authors":[{"text":"McKinley, Randy 0000-0001-7644-6365 rmckinley@usgs.gov","orcid":"https://orcid.org/0000-0001-7644-6365","contributorId":1354,"corporation":false,"usgs":true,"family":"McKinley","given":"Randy","email":"rmckinley@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true},{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":718183,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Clark, Jess","contributorId":199100,"corporation":false,"usgs":false,"family":"Clark","given":"Jess","email":"","affiliations":[],"preferred":false,"id":718184,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}}
,{"id":70192773,"text":"70192773 - 2011 - Coal resources for part of the Wilcox group (Paleocene-Eocene), northeast Texas","interactions":[],"lastModifiedDate":"2020-10-22T16:54:42.754696","indexId":"70192773","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"seriesTitle":{"id":5382,"text":"AAPG Studies in Geology","active":false,"publicationSubtype":{"id":24}},"chapter":"8","title":"Coal resources for part of the Wilcox group (Paleocene-Eocene), northeast Texas","docAbstract":"<p>The Wilcox Group of northeast Texas contains shallow (less than 500 ft) coal deposits that are mined for use in mine-mouth electric power generating plants. The coal deposits, which are lignite in apparent rank (Pierce et al., 2011), are separated from similar shallow coal deposits in the Sabine uplift area by the East Texas Basin (Figure 1). The coal zones and associated strata in the northeast assessment area generally dip to the south and southeast at 28 or less toward the axis of the East Texas Basin. The northeast Texas resource assessment area includes parts of nine counties (Figure 2).</p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Geologic assessment of coal in the Gulf of Mexico coastal plain","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"American Association of Petroleum Geologists","usgsCitation":"Warwick, P.D., Aubourg, C.E., Podwysocki, S.M., and Schultz, A.C., 2011, Coal resources for part of the Wilcox group (Paleocene-Eocene), northeast Texas, chap. 8 <i>of</i> Geologic assessment of coal in the Gulf of Mexico coastal plain: AAPG Studies in Geology, v. 62, p. 142-178.","productDescription":"37 p.","startPage":"142","endPage":"178","ipdsId":"IP-020035","costCenters":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":350918,"rank":1,"type":{"id":15,"text":"Index 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pwarwick@usgs.gov","orcid":"https://orcid.org/0000-0002-3152-7783","contributorId":762,"corporation":false,"usgs":true,"family":"Warwick","given":"Peter","email":"pwarwick@usgs.gov","middleInitial":"D.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":false,"id":716876,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Aubourg, Claire E.","contributorId":87192,"corporation":false,"usgs":true,"family":"Aubourg","given":"Claire","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":716877,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Podwysocki, Steven M.","contributorId":90352,"corporation":false,"usgs":true,"family":"Podwysocki","given":"Steven","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":716878,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Schultz, Adam C.","contributorId":82752,"corporation":false,"usgs":true,"family":"Schultz","given":"Adam","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":716879,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70156751,"text":"70156751 - 2011 - Fire in the Cape Region of South Africa","interactions":[],"lastModifiedDate":"2021-11-10T17:03:48.200503","indexId":"70156751","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"chapter":"7","title":"Fire in the Cape Region of South Africa","docAbstract":"<p>South Africa's mediterranean-type climate (MTC) region is the smallest of the five MTC regions, centered in the southwestern corner of the Western Cape Province (Fig. 7.1). This Cape region is dominated by fynbos shrublands (see Fig. 1.6e) but this fynbos biome continues eastward far outside the MTC. The Cape region is unusual in that shrublands dominate under climate regimes that also support forests. Entire landscapes can support alternative ecosystem states. Even the semi-arid areas can support entirely different vegetation: fire-prone shrublands or fire-resistant broadleaf thickets. Perhaps more than any other MTC region, fire plays a central role in determining major vegetation patterns of winter rainfall regions of South Africa. Soils are also thought to be of major importance since much of the Cape's MTC region is on nutrient-poor sandy soils (see Fig. 1.5). A complex interplay between soils, fire and climate and, in the east, large mammal herbivory, determines boundaries of major biomes. The Cape Floristic Region is extremely rich in species with very high levels of endemism (Linder 2003). It is the world's richest temperate flora and is largely restricted to fire-prone ecosystems (Cowling<span>&nbsp;</span><span class=\"italic\">et al</span>. 1996; Linder 2003). So, contrary to the widely held popular belief that fires are an anthropogenic disturbance (e.g. Pillans 1924; Axelrod 1980), or merely incidental to this formation (Hopper 2009), a rich endemic flora has evolved in the Cape whose members are overwhelmingly fire dependent, implying a long history of natural fires as a selective force.</p><p><span class=\"bold\">Major Vegetation Patterns</span></p><p>This chapter discusses fire regimes in the Cape region, what little is known of their determinants, and how they influence major vegetation patterns in the region. Though a large number of studies have explored plant responses to fire (reviewed by Bond 1997; Cowling<span>&nbsp;</span><span class=\"italic\">et al</span>. 1997a), these are heavily biased toward fynbos shrublands, the dominant vegetation cover of the region (Fig. 7.2). Fire responses of species belonging to other vegetation types are poorly known. Yet the existence of these other vegetation types is one of the central conundrums of the Cape region. It implies failure of climate alone to explain apparent convergence with other MTC regions (Chapter 1). For example, low shrublands would be expected in deserts replaced, as rainfall progressively increases, by taller shrublands, woodlands and then forests. But this is clearly not the case in the Cape region. The dominant fynbos vegetation shows very little variation in aboveground biomass from arid desert fringes (mean annual precipitation ~250 mm) to rain-drenched high-altitude heathlands (&gt; 3000 mm) (Fig. 7.3). Yet across the entire rainfall gradient fynbos co-occurs with alternative ecosystems with much greater woody biomass. These broadleaf thickets and forests have an entirely different floristic and functional composition and often are restricted to isolated fire-protected refugia (Fig. 7.2; Taylor 1978; Kruger 1979; Cowling<span>&nbsp;</span><span class=\"italic\">et al</span>. 2005; Rebelo<span>&nbsp;</span><span class=\"italic\">et al</span>. 2006). The implication is that apparent convergence of shrubby fynbos growth forms with other MTC plant communities cannot be understood in terms of climate alone and that one needs to think in terms of the climate, fire, geology filter (see Fig. 1.4).</p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Fire in Mediterranean ecosystems: Ecology, evolution and management","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Cambridge University Press","doi":"10.1017/CBO9781139033091.009","usgsCitation":"Keeley, J.E., Bond, W.J., Bradstock, R.A., Pausas, J.G., and Rundel, P.W., 2011, Fire in the Cape Region of South Africa, chap. 7 <i>of</i> Fire in Mediterranean ecosystems: Ecology, evolution and management, p. 168-200, https://doi.org/10.1017/CBO9781139033091.009.","productDescription":"32 p.","startPage":"168","endPage":"200","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-018785","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":307621,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"South Africa","otherGeospatial":"Cape region","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              17.402343749999996,\n              -35.02999636902566\n            ],\n            [\n              23.642578125,\n              -35.02999636902566\n            ],\n            [\n              23.642578125,\n              -32.10118973232094\n            ],\n            [\n              17.402343749999996,\n              -32.10118973232094\n            ],\n            [\n              17.402343749999996,\n              -35.02999636902566\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57fe7fede4b0824b2d1479ef","contributors":{"authors":[{"text":"Keeley, Jon E. 0000-0002-4564-6521 jon_keeley@usgs.gov","orcid":"https://orcid.org/0000-0002-4564-6521","contributorId":1268,"corporation":false,"usgs":true,"family":"Keeley","given":"Jon","email":"jon_keeley@usgs.gov","middleInitial":"E.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":570365,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bond, William J.","contributorId":81621,"corporation":false,"usgs":false,"family":"Bond","given":"William","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":570366,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bradstock, Ross A.","contributorId":42826,"corporation":false,"usgs":false,"family":"Bradstock","given":"Ross","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":570367,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Pausas, Juli G.","contributorId":91347,"corporation":false,"usgs":true,"family":"Pausas","given":"Juli","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":570368,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Rundel, Philip W.","contributorId":107552,"corporation":false,"usgs":true,"family":"Rundel","given":"Philip","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":570369,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70192783,"text":"70192783 - 2011 - Executive summary - Geologic assessment of coal in the Gulf of Mexico coastal plain, U.S.A.","interactions":[],"lastModifiedDate":"2020-10-22T17:12:12.859613","indexId":"70192783","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"seriesTitle":{"id":5382,"text":"AAPG Studies in Geology","active":false,"publicationSubtype":{"id":24}},"chapter":"1","title":"Executive summary - Geologic assessment of coal in the Gulf of Mexico coastal plain, U.S.A.","docAbstract":"<p>The National Coal Resource Assessment (NCRA) project of the U.S. Geological Survey (USGS) has assessed the quantity and quality of the nation's coal deposits that potentially could be mined during the next few decades. For eight years, geologic, geochemical, and resource information was collected and compiled for the five major coal-producing regions of the United States: the Appalachian Basin, Illinois Basin, Northern Rocky Mountains and Great Plains, Colorado Plateau, and the western part of the Gulf of Mexico Coastal Plain (Gulf Coast) region (Figure 1). In particular, the NCRA assessed resource estimates, compiled coal-quality information, and characterized environmentally sensitive trace elements, such as arsenic and mercury, that are mentioned in the 1990 Clean Air Act Amendments (U.S. Environmental Protection Agency, 1990). The results of the USGS coal assessment efforts may be found at: http://energy.cr.usgs.gov/coal/coal-assessments/index.html and a summary of the results from all assessment areas can be found in Ruppert et al. (2002) and Dennen (2009).</p><p>Detailed assessments of the major coal-producing areas for the Gulf Coast region along with reviews of the stratigraphy, coal quality, resources, and coalbed methane potential of the Cretaceous, Paleocene, and Eocene coal deposits are presented in this report (Chapters 5-10).</p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Geologic assessment of coal in the Gulf of Mexico coastal plain","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"American Association of Petroleum Geologists","usgsCitation":"Warwick, P.D., 2011, Executive summary - Geologic assessment of coal in the Gulf of Mexico coastal plain, U.S.A., chap. 1 <i>of</i> Geologic assessment of coal in the Gulf of Mexico coastal plain: AAPG Studies in Geology, v. 62, p. 1-8.","productDescription":"8 p.","startPage":"1","endPage":"8","ipdsId":"IP-020018","costCenters":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":350899,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":350898,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://archives.datapages.com/data/specpubs/discovery14/data/001/001001/1_aapg-sp0010001.htm"}],"country":"United States","otherGeospatial":"Gulf of Mexico coastal plain","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -96.7236328125,\n              29.49698759653577\n            ],\n            [\n              -92.4169921875,\n              29.49698759653577\n            ],\n            [\n              -92.4169921875,\n              32.21280106801518\n            ],\n            [\n              -96.7236328125,\n              32.21280106801518\n            ],\n            [\n              -96.7236328125,\n              29.49698759653577\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"62","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a743586e4b0a9a2e9e25cb5","contributors":{"editors":[{"text":"Warwick, Peter D. 0000-0002-3152-7783 pwarwick@usgs.gov","orcid":"https://orcid.org/0000-0002-3152-7783","contributorId":762,"corporation":false,"usgs":true,"family":"Warwick","given":"Peter","email":"pwarwick@usgs.gov","middleInitial":"D.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":false,"id":726395,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Karlsen, Alexander K.","contributorId":44089,"corporation":false,"usgs":false,"family":"Karlsen","given":"Alexander K.","affiliations":[],"preferred":false,"id":726396,"contributorType":{"id":2,"text":"Editors"},"rank":2},{"text":"Merrill, Matthew D. 0000-0003-3766-847X mmerrill@usgs.gov","orcid":"https://orcid.org/0000-0003-3766-847X","contributorId":2584,"corporation":false,"usgs":true,"family":"Merrill","given":"Matthew D.","email":"mmerrill@usgs.gov","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":false,"id":726397,"contributorType":{"id":2,"text":"Editors"},"rank":3},{"text":"Valentine, Brett J. 0000-0002-8678-2431 bvalentine@usgs.gov","orcid":"https://orcid.org/0000-0002-8678-2431","contributorId":3846,"corporation":false,"usgs":true,"family":"Valentine","given":"Brett","email":"bvalentine@usgs.gov","middleInitial":"J.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true},{"id":255,"text":"Energy Resources Program","active":true,"usgs":true}],"preferred":true,"id":726398,"contributorType":{"id":2,"text":"Editors"},"rank":4}],"authors":[{"text":"Warwick, Peter D. 0000-0002-3152-7783 pwarwick@usgs.gov","orcid":"https://orcid.org/0000-0002-3152-7783","contributorId":762,"corporation":false,"usgs":true,"family":"Warwick","given":"Peter","email":"pwarwick@usgs.gov","middleInitial":"D.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":false,"id":716921,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70193259,"text":"70193259 - 2011 - Radiotelemetry to estimate stream life of adult chum salmon in the McNeil River, Alaska","interactions":[],"lastModifiedDate":"2017-11-15T14:50:33","indexId":"70193259","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2886,"text":"North American Journal of Fisheries Management","active":true,"publicationSubtype":{"id":10}},"title":"Radiotelemetry to estimate stream life of adult chum salmon in the McNeil River, Alaska","docAbstract":"<p><span>Estimating salmon escapement is one of the fundamental steps in managing salmon populations. The area-under-the-curve (AUC) method is commonly used to convert periodic aerial survey counts into annual salmon escapement indices. The AUC requires obtaining accurate estimates of stream life (SL) for target species. Traditional methods for estimating SL (e.g., mark–recapture) are not feasible for many populations. Our objective in this study was to determine the average SL of chum salmon&nbsp;</span><i>Oncorhynchus keta</i><span><span>&nbsp;</span>in the McNeil River, Alaska, through radiotelemetry. During the 2005 and 2006 runs, 155 chum salmon were fitted with mortality-indicating radio tags as they entered the McNeil River and tracked until they died. A combination of remote data loggers, aerial surveys, and foot surveys were used to determine the location of fish and provide an estimate of time of death. Higher predation resulted in tagged fish below McNeil Falls having a significantly shorter SL (12.6 d) than those above (21.9 d). The streamwide average SL (13.8 d) for chum salmon at the McNeil River was lower than the regionwide value (17.5 d) previously used to generate AUC indices of chum salmon escapement for the McNeil River. We conclude that radiotelemetry is an effective tool for estimating SL in rivers not well suited to other methods.</span></p>","language":"English","publisher":"Taylor & Francis","doi":"10.1080/02755947.2011.574080","usgsCitation":"Peirce, J., Otis, E.O., Wipfli, M.S., and Follmann, E., 2011, Radiotelemetry to estimate stream life of adult chum salmon in the McNeil River, Alaska: North American Journal of Fisheries Management, v. 31, no. 2, p. 315-322, https://doi.org/10.1080/02755947.2011.574080.","productDescription":"8 p.","startPage":"315","endPage":"322","ipdsId":"IP-013106","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":348914,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"McNeil River","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -154.2978286743164,\n              59.0957028026867\n            ],\n            [\n              -154.2037582397461,\n              59.0957028026867\n            ],\n            [\n              -154.2037582397461,\n              59.13843678215489\n            ],\n            [\n              -154.2978286743164,\n              59.13843678215489\n            ],\n            [\n              -154.2978286743164,\n              59.0957028026867\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"31","issue":"2","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2011-05-02","publicationStatus":"PW","scienceBaseUri":"5a6107fce4b06e28e9c25632","contributors":{"authors":[{"text":"Peirce, Joshua","contributorId":42510,"corporation":false,"usgs":true,"family":"Peirce","given":"Joshua","email":"","affiliations":[],"preferred":false,"id":722265,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Otis, Edward O.","contributorId":19065,"corporation":false,"usgs":true,"family":"Otis","given":"Edward","email":"","middleInitial":"O.","affiliations":[],"preferred":false,"id":722266,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wipfli, Mark S. 0000-0002-4856-6068 mwipfli@usgs.gov","orcid":"https://orcid.org/0000-0002-4856-6068","contributorId":1425,"corporation":false,"usgs":true,"family":"Wipfli","given":"Mark","email":"mwipfli@usgs.gov","middleInitial":"S.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":718461,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Follmann, Erich H.","contributorId":75049,"corporation":false,"usgs":true,"family":"Follmann","given":"Erich H.","affiliations":[],"preferred":false,"id":722267,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70192780,"text":"70192780 - 2011 - Bibliography of the Gulf of Mexico coastal plain coal geology","interactions":[],"lastModifiedDate":"2020-10-22T17:04:19.730078","indexId":"70192780","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"seriesTitle":{"id":5382,"text":"AAPG Studies in Geology","active":false,"publicationSubtype":{"id":24}},"chapter":"19","title":"Bibliography of the Gulf of Mexico coastal plain coal geology","docAbstract":"<p>Unlike scientific literature pertaining to most other coal-bearing regions in the conterminous United States, this bibliography on the coal geology of the Gulf Coastal Plain is dominated by work from the late 20th century. Although coals of this region were mined commercially in the late 1800s and early 1900s, they were eclipsed by the production and use of oil and gas in the middle 1920s and were not mined again as a significant fuel source until the 1970s. As a result, the literature consists mainly of a relatively small number of pre-1920 contributions in state and federal reports, followed by a plethora of technical papers, symposia proceedings, field guides, theses, dissertations, and abstracts over the past 40 years.</p><p>The purpose of this chapter is to record the present work used by U.S. Geological Survey personnel preparing the Gulf Coast Coal Resource Assessment and to furnish an introduction to the larger body of sedimentary, stratigraphic, paleontologic, geochemical, hydrologic, and mining literature that exists in the region. This bibliography is an update of an earlier compilation (Tewalt et al., 1990). Despite its length, it is not exhaustive. Nor is it restricted to papers that focus solely upon coals because an understanding of these coals is rooted in the general geologic literature of the Gulf Coastal Plain.</p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Geologic assessment of coal in the Gulf of Mexico coastal plain","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"American Association of Petroleum Geologists","usgsCitation":"Hook, R.W., Warwick, P.D., Karlsen, A.W., and Tewalt, S.J., 2011, Bibliography of the Gulf of Mexico coastal plain coal geology, chap. 19 <i>of</i> Geologic assessment of coal in the Gulf of Mexico coastal plain: AAPG Studies in Geology, v. 62, p. 348-389.","productDescription":"42 p.","startPage":"348","endPage":"389","ipdsId":"IP-020074","costCenters":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":350931,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":350930,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://archives.datapages.com/data/specpubs/discovery14/data/001/001001/348_aapg-sp0010348.htm"}],"country":"United States","state":"Louisiana, Texas","otherGeospatial":"Gulf of Mexico coastal plain","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -96.7236328125,\n              29.49698759653577\n            ],\n            [\n              -92.4169921875,\n              29.49698759653577\n            ],\n            [\n              -92.4169921875,\n              32.21280106801518\n            ],\n            [\n              -96.7236328125,\n              32.21280106801518\n            ],\n            [\n              -96.7236328125,\n              29.49698759653577\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"62","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a743587e4b0a9a2e9e25cb8","contributors":{"editors":[{"text":"Warwick, Peter D. 0000-0002-3152-7783 pwarwick@usgs.gov","orcid":"https://orcid.org/0000-0002-3152-7783","contributorId":762,"corporation":false,"usgs":true,"family":"Warwick","given":"Peter","email":"pwarwick@usgs.gov","middleInitial":"D.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":false,"id":726475,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Karlsen, Alexander K.","contributorId":44089,"corporation":false,"usgs":false,"family":"Karlsen","given":"Alexander K.","affiliations":[],"preferred":false,"id":726476,"contributorType":{"id":2,"text":"Editors"},"rank":2},{"text":"Merrill, Matthew D. 0000-0003-3766-847X mmerrill@usgs.gov","orcid":"https://orcid.org/0000-0003-3766-847X","contributorId":2584,"corporation":false,"usgs":true,"family":"Merrill","given":"Matthew D.","email":"mmerrill@usgs.gov","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":false,"id":726477,"contributorType":{"id":2,"text":"Editors"},"rank":3},{"text":"Tewalt, Susan J. stewalt@usgs.gov","contributorId":64270,"corporation":false,"usgs":true,"family":"Tewalt","given":"Susan","email":"stewalt@usgs.gov","middleInitial":"J.","affiliations":[{"id":259,"text":"Energy Resources Science Center","active":false,"usgs":true}],"preferred":false,"id":726478,"contributorType":{"id":2,"text":"Editors"},"rank":4}],"authors":[{"text":"Hook, Robert W.","contributorId":26006,"corporation":false,"usgs":true,"family":"Hook","given":"Robert","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":716905,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Warwick, Peter D. 0000-0002-3152-7783 pwarwick@usgs.gov","orcid":"https://orcid.org/0000-0002-3152-7783","contributorId":762,"corporation":false,"usgs":true,"family":"Warwick","given":"Peter","email":"pwarwick@usgs.gov","middleInitial":"D.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":false,"id":716906,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Karlsen, Alexander W.","contributorId":105382,"corporation":false,"usgs":true,"family":"Karlsen","given":"Alexander","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":716907,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Tewalt, Susan J. stewalt@usgs.gov","contributorId":64270,"corporation":false,"usgs":true,"family":"Tewalt","given":"Susan","email":"stewalt@usgs.gov","middleInitial":"J.","affiliations":[{"id":259,"text":"Energy Resources Science Center","active":false,"usgs":true}],"preferred":false,"id":716908,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70182093,"text":"70182093 - 2011 - Inventory and suitability of facilities within the Mid-Columbia Basin for the artificial propagation of Pacific lampreys","interactions":[],"lastModifiedDate":"2017-02-16T10:26:17","indexId":"70182093","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":9,"text":"Other Report"},"title":"Inventory and suitability of facilities within the Mid-Columbia Basin for the artificial propagation of Pacific lampreys","docAbstract":"<p>No abstract available&nbsp;</p>","language":"English","publisher":" Rocky Reach Hydroelectric Project ","usgsCitation":"Mesa, M., and Christiansen, H., 2011, Inventory and suitability of facilities within the Mid-Columbia Basin for the artificial propagation of Pacific lampreys, 150 p. .","productDescription":"150 p. ","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":335685,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58a6c834e4b025c46428629a","contributors":{"authors":[{"text":"Mesa, M.G.","contributorId":17386,"corporation":false,"usgs":true,"family":"Mesa","given":"M.G.","email":"","affiliations":[],"preferred":false,"id":669565,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Christiansen, H.E.","contributorId":81717,"corporation":false,"usgs":true,"family":"Christiansen","given":"H.E.","email":"","affiliations":[],"preferred":false,"id":669566,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70034757,"text":"70034757 - 2011 - Infrasound from the 2007 fissure eruptions of Kīlauea Volcano, Hawai'i","interactions":[],"lastModifiedDate":"2018-10-30T09:37:06","indexId":"70034757","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1807,"text":"Geophysical Research Letters","active":true,"publicationSubtype":{"id":10}},"title":"Infrasound from the 2007 fissure eruptions of Kīlauea Volcano, Hawai'i","docAbstract":"Varied acoustic signals were recorded at Kīlauea Volcano in mid-2007, coincident with dramatic changes in the volcano's activity. Prior to this time period, Pu'u 'Ō'ō crater produced near-continuous infrasonic tremor and was the primary source of degassing and lava effusion at Kīlauea. Collapse and draining of Pu'u 'Ō'ō  crater in mid-June produced impulsive infrasonic signals and fluctuations in infrasonic tremor. Fissure eruptions on 19 June and 21 July were clearly located spatially and temporally using infrasound arrays. The 19 June eruption from a fissure approximately mid-way between Kīlauea's summit and Pu'u 'O'o produced infrasound for ~30 minutes-the only observed geophysical signal associated with the fissure opening. The infrasound signal from the 21 July eruption just east of Pu'u 'Ō'ō  shows a clear azimuthal progression over time, indicative of fissure propagation over 12.9 hours. The total fissure propagation rate is relatively slow at 164 m/hr, although the fissure system ruptured discontinuously. Individual fissure rupture times are estimated using the acoustic data combined with visual observations.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Geophysical Research Letters","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1029/2010GL046422","issn":"00948276","usgsCitation":"Fee, D., Garces, M., Orr, T., and Poland, M.P., 2011, Infrasound from the 2007 fissure eruptions of Kīlauea Volcano, Hawai'i: Geophysical Research Letters, v. 38, 5 p.; L06309, https://doi.org/10.1029/2010GL046422.","productDescription":"5 p.; L06309","costCenters":[{"id":336,"text":"Hawaiian Volcano Observatory","active":false,"usgs":true}],"links":[{"id":475169,"rank":10000,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2010gl046422","text":"Publisher Index Page"},{"id":215635,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1029/2010GL046422"},{"id":243452,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Hawai'i","otherGeospatial":"Kilauea Volcano","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -155.05,19.58 ], [ -155.05,19.76 ], [ -155.03,19.76 ], [ -155.03,19.58 ], [ -155.05,19.58 ] ] ] } } ] }","volume":"38","noUsgsAuthors":false,"publicationDate":"2011-03-30","publicationStatus":"PW","scienceBaseUri":"505a3bcae4b0c8380cd62839","contributors":{"authors":[{"text":"Fee, D.","contributorId":23353,"corporation":false,"usgs":true,"family":"Fee","given":"D.","email":"","affiliations":[],"preferred":false,"id":447441,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Garces, M.","contributorId":42406,"corporation":false,"usgs":true,"family":"Garces","given":"M.","email":"","affiliations":[],"preferred":false,"id":447443,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Orr, Tim R. 0000-0003-1157-7588","orcid":"https://orcid.org/0000-0003-1157-7588","contributorId":26365,"corporation":false,"usgs":true,"family":"Orr","given":"Tim R.","affiliations":[{"id":336,"text":"Hawaiian Volcano Observatory","active":false,"usgs":true}],"preferred":true,"id":447442,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Poland, Michael P. 0000-0001-5240-6123 mpoland@usgs.gov","orcid":"https://orcid.org/0000-0001-5240-6123","contributorId":146118,"corporation":false,"usgs":true,"family":"Poland","given":"Michael","email":"mpoland@usgs.gov","middleInitial":"P.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":447444,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70005025,"text":"70005025 - 2011 - P is for pit","interactions":[],"lastModifiedDate":"2013-06-05T10:24:30","indexId":"70005025","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":674,"text":"Aggregates Manager","active":true,"publicationSubtype":{"id":10}},"title":"P is for pit","docAbstract":"A gravel pit that was a source of happy childhood memories showcases the evolution of mining technology.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Aggregates Manager","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Randall Reilly Publishing","usgsCitation":"Langer, W.H., 2011, P is for pit: Aggregates Manager, v. 16, no. 4, p. 36-36.","productDescription":"1 p.","startPage":"36","endPage":"36","costCenters":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"links":[{"id":203906,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":24506,"rank":200,"type":{"id":11,"text":"Document"},"url":"https://www.aggman.com/carved-in-stone-14/","linkFileType":{"id":5,"text":"html"}}],"volume":"16","issue":"4","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4ae4e4b07f02db689f67","contributors":{"authors":[{"text":"Langer, W. H.","contributorId":44932,"corporation":false,"usgs":true,"family":"Langer","given":"W.","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":351834,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70034647,"text":"70034647 - 2011 - Growth rates of rainbow smelt in Lake Champlain: Effects of density and diet","interactions":[],"lastModifiedDate":"2021-04-14T16:48:35.176951","indexId":"70034647","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1471,"text":"Ecology of Freshwater Fish","active":true,"publicationSubtype":{"id":10}},"title":"Growth rates of rainbow smelt in Lake Champlain: Effects of density and diet","docAbstract":"<p><span>We estimated the densities of rainbow smelt (</span><i>Osmerus mordax</i><span>) using hydroacoustics and obtained specimens for diet analysis and groundtruthed acoustics data from mid‐water trawl sampling in four areas of Lake Champlain, USA–Canada. Densities of rainbow smelt cohorts alternated during the 2‐year study; age‐0 rainbow smelt were very abundant in 2001 (up to 6 fish per m</span><sup>2</sup><span>) and age‐1 and older were abundant (up to 1.2 fish per m</span><sup>2</sup><span>) in 2002. Growth rates and densities varied among areas and years. We used model selection on eight area–year‐specific variables to investigate biologically plausible predictors of rainbow smelt growth rates. The best supported model of growth rates of age‐0 smelt indicated a negative relationship with age‐0 density, likely associated with intraspecific competition for zooplankton. The next best‐fit model had age‐1 density as a predictor of age‐0 growth. The best supported models (</span><i>N </i><span>= 4) of growth rates of age‐1 fish indicated a positive relationship with availability of age‐0 smelt and resulting levels of cannibalism. Other plausible models were contained variants of these parameters. Cannibalistic rainbow smelt consumed younger conspecifics that were up to 53% of their length. Prediction of population dynamics for rainbow smelt requires an understanding of the relationship between density and growth as age‐0 fish outgrow their main predators (adult smelt) by autumn in years with fast growth rates, but not in years with slow growth rates.</span></p>","language":"English","publisher":"Wiley","doi":"10.1111/j.1600-0633.2010.00472.x","issn":"09066691","usgsCitation":"Stritzel, T.J., Parrish, D., Parker-Stetter, S.L., Rudstam, L.G., and Sullivan, P., 2011, Growth rates of rainbow smelt in Lake Champlain: Effects of density and diet: Ecology of Freshwater Fish, v. 20, no. 4, p. 503-512, https://doi.org/10.1111/j.1600-0633.2010.00472.x.","productDescription":"10p.","startPage":"503","endPage":"512","numberOfPages":"10","costCenters":[],"links":[{"id":243758,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":215922,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1111/j.1600-0633.2010.00472.x"}],"country":"United States","state":"New York, Vermont","otherGeospatial":"Lake Champlain","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -73.8446044921875,\n              43.401056495052906\n            ],\n            [\n              -72.94921875,\n              43.401056495052906\n            ],\n            [\n              -72.94921875,\n              45.34056313889858\n            ],\n            [\n              -73.8446044921875,\n              45.34056313889858\n            ],\n            [\n              -73.8446044921875,\n              43.401056495052906\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"20","issue":"4","noUsgsAuthors":false,"publicationDate":"2010-11-24","publicationStatus":"PW","scienceBaseUri":"505a2e06e4b0c8380cd5c233","contributors":{"authors":[{"text":"Stritzel, Thomson J.L.","contributorId":30024,"corporation":false,"usgs":true,"family":"Stritzel","given":"Thomson","email":"","middleInitial":"J.L.","affiliations":[],"preferred":false,"id":446850,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Parrish, D.L.","contributorId":15144,"corporation":false,"usgs":true,"family":"Parrish","given":"D.L.","email":"","affiliations":[],"preferred":false,"id":446848,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Parker-Stetter, S. L.","contributorId":98136,"corporation":false,"usgs":true,"family":"Parker-Stetter","given":"S.","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":446852,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Rudstam, L. G.","contributorId":24720,"corporation":false,"usgs":true,"family":"Rudstam","given":"L.","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":446849,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Sullivan, P.J.","contributorId":38762,"corporation":false,"usgs":true,"family":"Sullivan","given":"P.J.","email":"","affiliations":[],"preferred":false,"id":446851,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70034538,"text":"70034538 - 2011 - <sup>40</sup>Ar/<sup>39</sup>Ar dating of tuff vents in the Campi Flegrei caldera (southern Italy): Toward a new chronostratigraphic reconstruction of the Holocene volcanic activity","interactions":[],"lastModifiedDate":"2016-08-26T19:21:48","indexId":"70034538","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1109,"text":"Bulletin of Volcanology","active":true,"publicationSubtype":{"id":10}},"title":"<sup>40</sup>Ar/<sup>39</sup>Ar dating of tuff vents in the Campi Flegrei caldera (southern Italy): Toward a new chronostratigraphic reconstruction of the Holocene volcanic activity","docAbstract":"<p><span>The Campi Flegrei hosts numerous monogenetic vents inferred to be younger than the 15&nbsp;ka Neapolitan Yellow Tuff. Sanidine crystals from the three young Campi Flegrei vents of Fondi di Baia, Bacoli and Nisida were dated using </span><sup>40</sup><span>Ar/</span><sup>39</sup><span>Ar geochronology. These vents, together with several other young edifices, occur roughly along the inner border of the Campi Flegrei caldera, suggesting that the volcanic conduits are controlled by caldera-bounding faults. Plateau ages of ∼9.6&nbsp;ka (Fondi di Baia), ∼8.6&nbsp;ka (Bacoli) and ∼3.9&nbsp;ka (Nisida) indicate eruptive activity during intervals previously interpreted as quiescent. A critical revision, involving calendar age correction of literature </span><sup>14</sup><span>C data and available </span><sup>40</sup><span>Ar/</span><sup>39</sup><span>Ar age data, is presented. A new reference chronostratigraphic framework for Holocene Phlegrean activity, which significantly differs from the previously adopted ones, is proposed. This has important implications for understanding the Campi Flegrei eruptive history and, ultimately, for the evaluation of related volcanic risk and hazard, for which the inferred history of its recent activity is generally taken into account.</span></p>","language":"English","publisher":"Springer International","doi":"10.1007/s00445-011-0478-8","issn":"02588900","usgsCitation":"Fedele, L., Insinga, D., Calvert, A., Morra, V., Perrotta, A., and Scarpati, C., 2011, <sup>40</sup>Ar/<sup>39</sup>Ar dating of tuff vents in the Campi Flegrei caldera (southern Italy): Toward a new chronostratigraphic reconstruction of the Holocene volcanic activity: Bulletin of Volcanology, v. 73, no. 9, p. 1323-1336, https://doi.org/10.1007/s00445-011-0478-8.","productDescription":"14 p.","startPage":"1323","endPage":"1336","costCenters":[],"links":[{"id":243536,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Italy","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              14.11245346069336,\n              40.800166251701846\n            ],\n            [\n              14.11245346069336,\n              40.83667117059108\n            ],\n            [\n              14.168758392333984,\n              40.83667117059108\n            ],\n            [\n              14.168758392333984,\n              40.800166251701846\n            ],\n            [\n              14.11245346069336,\n              40.800166251701846\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"73","issue":"9","noUsgsAuthors":false,"publicationDate":"2011-05-05","publicationStatus":"PW","scienceBaseUri":"57c1682de4b0f2f0ceb9075c","contributors":{"authors":[{"text":"Fedele, L.","contributorId":89022,"corporation":false,"usgs":true,"family":"Fedele","given":"L.","email":"","affiliations":[],"preferred":false,"id":446284,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Insinga, D.D.","contributorId":24645,"corporation":false,"usgs":true,"family":"Insinga","given":"D.D.","affiliations":[],"preferred":false,"id":446280,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Calvert, A.T.","contributorId":49969,"corporation":false,"usgs":true,"family":"Calvert","given":"A.T.","email":"","affiliations":[],"preferred":false,"id":446283,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Morra, V.","contributorId":101887,"corporation":false,"usgs":true,"family":"Morra","given":"V.","affiliations":[],"preferred":false,"id":446285,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Perrotta, A.","contributorId":40430,"corporation":false,"usgs":true,"family":"Perrotta","given":"A.","email":"","affiliations":[],"preferred":false,"id":446282,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Scarpati, C.","contributorId":34726,"corporation":false,"usgs":true,"family":"Scarpati","given":"C.","affiliations":[],"preferred":false,"id":446281,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70036873,"text":"70036873 - 2011 - Trap style influences wild pig behavior and trapping success","interactions":[],"lastModifiedDate":"2020-12-18T16:30:51.504874","indexId":"70036873","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2508,"text":"Journal of Wildlife Management","active":true,"publicationSubtype":{"id":10}},"title":"Trap style influences wild pig behavior and trapping success","docAbstract":"<p><span>Despite the efforts of many natural resource professionals, wild pig (</span><i>Sus scrofa</i><span>) populations are expanding in many areas of the world. Although many creative techniques for controlling pig populations are being explored, trapping has been and still is the most commonly used method of population control for many public and private land managers. We conducted an observational study to examine the efficiency of 2 frequently used trap styles: a small, portable box‐style trap and a larger, semi‐permanent, corral‐style trap. We used game cameras to examine patterns of trap entry by wild pigs around each style of trap, and we conducted a trapping session to compare trapping success between trap styles. Adult female and juvenile wild pigs entered both styles of trap more readily than did adult males, and adult males seemed particularly averse to entering box traps. Less than 10% of adult male visits to box traps resulted in entries, easily the least percentage of any class at any style of trap. Adult females entered corral traps approximately 2.2 times more often per visit than box traps and re‐entered corral traps &gt;2 times more frequently. Juveniles entered and re‐entered both box and corral traps at similar rates. Overall (all‐class) entry‐per‐visit rates at corral traps (0.71) were nearly double that of box traps (0.37). Subsequent trapping data supported these preliminary entry data; the capture rate for corral traps was &gt;4 times that of box traps. Our data suggest that corral traps are temporally and economically superior to box traps with respect to efficiency; that is, corral traps effectively trap more pigs per trap night at a lower cost per pig than do box traps</span></p>","language":"English","publisher":"The Wildlife Society","doi":"10.1002/jwmg.64","issn":"0022541X","usgsCitation":"Williams, B., Holtfreter, R., Ditchkoff, S., and Grand, J.B., 2011, Trap style influences wild pig behavior and trapping success: Journal of Wildlife Management, v. 75, no. 2, p. 432-436, https://doi.org/10.1002/jwmg.64.","productDescription":"5 p.","startPage":"432","endPage":"436","numberOfPages":"5","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":245861,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":217888,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1002/jwmg.64"}],"country":"United States","state":"Georgia","otherGeospatial":"Fort Bennning","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -84.91333007812499,\n              32.246490096781194\n            ],\n            [\n              -84.6002197265625,\n              32.24532861404601\n            ],\n            [\n              -84.6441650390625,\n              32.676372772089834\n            ],\n            [\n              -85.0946044921875,\n              32.63937487360669\n            ],\n            [\n              -84.99710083007812,\n              32.50281289041497\n            ],\n            [\n              -84.99298095703125,\n              32.45183828577544\n            ],\n            [\n              -84.96002197265624,\n              32.4263401615464\n            ],\n            [\n              -84.98062133789062,\n              32.4031537914036\n            ],\n            [\n              -85.00946044921875,\n              32.332398580730704\n            ],\n            [\n              -84.91333007812499,\n              32.246490096781194\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"75","issue":"2","noUsgsAuthors":false,"publicationDate":"2011-03-29","publicationStatus":"PW","scienceBaseUri":"505bb768e4b08c986b327255","contributors":{"authors":[{"text":"Williams, B.L.","contributorId":69804,"corporation":false,"usgs":true,"family":"Williams","given":"B.L.","email":"","affiliations":[],"preferred":false,"id":458240,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Holtfreter, R.W.","contributorId":67315,"corporation":false,"usgs":true,"family":"Holtfreter","given":"R.W.","email":"","affiliations":[],"preferred":false,"id":458239,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ditchkoff, S.S.","contributorId":100580,"corporation":false,"usgs":true,"family":"Ditchkoff","given":"S.S.","affiliations":[],"preferred":false,"id":458241,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Grand, J. Barry 0000-0002-3576-4567 barry_grand@usgs.gov","orcid":"https://orcid.org/0000-0002-3576-4567","contributorId":579,"corporation":false,"usgs":true,"family":"Grand","given":"J.","email":"barry_grand@usgs.gov","middleInitial":"Barry","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":458238,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70034597,"text":"70034597 - 2011 - Contain or eradicate? Optimizing the management goal for Australian acacia invasions in the face of uncertainty","interactions":[],"lastModifiedDate":"2021-04-16T16:05:36.421892","indexId":"70034597","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1399,"text":"Diversity and Distributions","active":true,"publicationSubtype":{"id":10}},"title":"Contain or eradicate? Optimizing the management goal for Australian acacia invasions in the face of uncertainty","docAbstract":"<p><strong>Aim<span>&nbsp;</span></strong>To identify whether eradication or containment is expected to be the most cost‐effective management goal for an isolated invasive population when knowledge about the current extent is uncertain.</p><p><strong>Location<span>&nbsp;</span></strong>Global and South Africa.</p><p><strong>Methods<span>&nbsp;</span></strong>We developed a decision analysis framework to analyse the best management goal for an invasive species population (eradication, containment or take no action) when knowledge about the current extent is uncertain. We used value of information analysis to identify when investment in learning about the extent will improve this decision‐making and tested the sensitivity of the conclusions to different parameters (e.g. spread rate, maximum extent, and management efficacy and cost). The model was applied to<span>&nbsp;</span><i>Acacia paradoxa</i><span>&nbsp;</span>DC, an Australian shrub with an estimated invasive extent of 310 ha on Table Mountain, South Africa.</p><p><strong>Results<span>&nbsp;</span></strong>Under the parameters used, attempting eradication is cost‐effective for infestations of up to 777 ha. However, if the invasion extent is poorly known, then attempting eradication is only cost‐effective for infestations estimated as 296 ha or smaller. The value of learning is greatest (maximum of 8% saving) when infestation extent is poorly known and if it is close to the maximum extent for which attempting eradication is optimal. The optimal management action is most sensitive to the probability that the action succeeds (which depends on the extent), with the discount rate and cost of management also important, but spread rate less so. Over a 20‐year time‐horizon, attempting to eradicate<span>&nbsp;</span><i>A.&nbsp;paradoxa</i><span>&nbsp;</span>from South Africa is predicted to cost on average ZAR 8 million if the extent is known, and if our current estimate is poor, ZAR 33.6 million as opposed to ZAR 32.8 million for attempting containment.</p><p><strong>Main conclusions<span>&nbsp;</span></strong>Our framework evaluates the cost‐effectiveness of attempting eradication or containment of an invasive population that takes uncertainty in population extent into account. We show that incorporating uncertainty in the analysis avoids overly optimistic beliefs about the effectiveness of management enabling better management decisions. For<span>&nbsp;</span><i>A.&nbsp;paradoxa</i><span>&nbsp;</span>in South Africa, attempting to eradicate is likely to be cost‐effective, particularly if resources are allocated to better understand and improve management efficacy</p>","language":"English","publisher":"Wiley","doi":"10.1111/j.1472-4642.2011.00809.x","issn":"13669516","usgsCitation":"Moore, J., Runge, M., Webber, B., and Wilson, J., 2011, Contain or eradicate? Optimizing the management goal for Australian acacia invasions in the face of uncertainty: Diversity and Distributions, v. 17, no. 5, p. 1047-1059, https://doi.org/10.1111/j.1472-4642.2011.00809.x.","productDescription":"13 p.","startPage":"1047","endPage":"1059","costCenters":[],"links":[{"id":497367,"rank":10000,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://admin.research-repository.uwa.edu.au/en/publications/4fe604be-1ef9-4ef6-873a-54379d1bd326","text":"External Repository"},{"id":243477,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":215658,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1111/j.1472-4642.2011.00809.x"}],"volume":"17","issue":"5","noUsgsAuthors":false,"publicationDate":"2011-08-08","publicationStatus":"PW","scienceBaseUri":"5059fa2ce4b0c8380cd4d983","contributors":{"authors":[{"text":"Moore, J.L.","contributorId":29100,"corporation":false,"usgs":true,"family":"Moore","given":"J.L.","email":"","affiliations":[],"preferred":false,"id":446565,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Runge, M.C. 0000-0002-8081-536X","orcid":"https://orcid.org/0000-0002-8081-536X","contributorId":49312,"corporation":false,"usgs":true,"family":"Runge","given":"M.C.","affiliations":[],"preferred":false,"id":446566,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Webber, B.L.","contributorId":80107,"corporation":false,"usgs":true,"family":"Webber","given":"B.L.","email":"","affiliations":[],"preferred":false,"id":446568,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wilson, J.R.U.","contributorId":50748,"corporation":false,"usgs":true,"family":"Wilson","given":"J.R.U.","email":"","affiliations":[],"preferred":false,"id":446567,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70003979,"text":"70003979 - 2011 - N is for non-metallic","interactions":[],"lastModifiedDate":"2013-06-05T10:22:26","indexId":"70003979","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":674,"text":"Aggregates Manager","active":true,"publicationSubtype":{"id":10}},"title":"N is for non-metallic","docAbstract":"Annual non-metallic minerals are typically twice the value of metallic minerals, which takes a little of the sparkle out of gold.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Aggregates Manager","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Randall Reilly Publishing","usgsCitation":"Langer, W.H., 2011, N is for non-metallic: Aggregates Manager, v. 16, no. 3, p. 64-64.","productDescription":"1 p.","startPage":"64","endPage":"64","costCenters":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"links":[{"id":203905,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":24504,"rank":200,"type":{"id":11,"text":"Document"},"url":"https://www.aggman.com/carved-in-stone-13/","linkFileType":{"id":5,"text":"html"}}],"volume":"16","issue":"3","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4b02e4b07f02db698a0d","contributors":{"authors":[{"text":"Langer, W. H.","contributorId":44932,"corporation":false,"usgs":true,"family":"Langer","given":"W.","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":350012,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70003940,"text":"70003940 - 2011 - M is for millstone","interactions":[],"lastModifiedDate":"2013-06-05T10:16:53","indexId":"70003940","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":674,"text":"Aggregates Manager","active":true,"publicationSubtype":{"id":10}},"title":"M is for millstone","docAbstract":"Among the many European millstones, the geology of the French burrstone was prized for the effect of its quartz grain.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Aggregates Manager","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Randall Reilly Publishing","usgsCitation":"Langer, W.H., 2011, M is for millstone: Aggregates Manager, v. 16, no. 1, p. 44-44.","productDescription":"1 p.","startPage":"44","endPage":"44","costCenters":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"links":[{"id":203903,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":24503,"rank":200,"type":{"id":11,"text":"Document"},"url":"https://www.aggman.com/carved-in-stone-11/","linkFileType":{"id":5,"text":"html"}}],"volume":"16","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a7fe4b07f02db648b14","contributors":{"authors":[{"text":"Langer, W. H.","contributorId":44932,"corporation":false,"usgs":true,"family":"Langer","given":"W.","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":349616,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70036931,"text":"70036931 - 2011 - Productivity of a coral reef using boundary layer and enclosure methods","interactions":[],"lastModifiedDate":"2023-05-11T15:20:42.164159","indexId":"70036931","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1807,"text":"Geophysical Research Letters","active":true,"publicationSubtype":{"id":10}},"title":"Productivity of a coral reef using boundary layer and enclosure methods","docAbstract":"<p><span id=\"_mce_caret\" data-mce-bogus=\"1\" data-mce-type=\"format-caret\"><span class=\"paraNumber\"><span></span></span></span><span>The metabolism of Cayo Enrique Reef, Puerto Rico, was studied using&nbsp;</span><i>in situ</i><span>&nbsp;methods during March 2009. Benthic O</span><sub>2</sub><span>&nbsp;fluxes were used to calculate net community production using both the boundary layer gradient and enclosure techniques. The boundary layer O</span><sub>2</sub><span>&nbsp;gradient and the drag coefficients were used to calculate productivity ranging from −12.3 to 13.7 mmol O</span><sub>2</sub><span>&nbsp;m</span><sup>−2</sup><span>&nbsp;h</span><sup>−1</sup><span>. Productivity measurements from the enclosure method ranged from −11.0 to 12.9 mmol O</span><sub>2</sub><span>&nbsp;m</span><sup>−2</sup><span>&nbsp;h</span><sup>−1</sup><span>. During the study, the mean hourly difference between the methods was 0.65 mmol O</span><sub>2</sub><span>&nbsp;m</span><sup>−2</sup><span>&nbsp;h</span><sup>−1</sup><span>&nbsp;(r</span><sup>2</sup><span>&nbsp;= 0.92), resulting in well‐reconciled estimates of net community production between the boundary layer (−33.1 mmol m</span><sup>−2</sup><span>&nbsp;d</span><sup>−1</sup><span>) and enclosure (−46.3 mmol m</span><sup>−2</sup><span>&nbsp;d</span><sup>−1</sup><span>) techniques. The results of these independent approaches corroborate quantified rates of metabolism at Cayo Enrique Reef. Close agreement between methods demonstrates that boundary layer measurements can provide near real‐time assessments of coral reef health.</span></p>","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2010GL046179","usgsCitation":"McGillis, W.R., Langdon, C., Loose, B., Yates, K.K., and Corredor, J., 2011, Productivity of a coral reef using boundary layer and enclosure methods: Geophysical Research Letters, v. 38, no. 3, L03611, 5 p., https://doi.org/10.1029/2010GL046179.","productDescription":"L03611, 5 p.","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":475155,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2010gl046179","text":"Publisher Index Page"},{"id":245836,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Puerto Rico","otherGeospatial":"Cayo Enrique Reef, Puerto Rico","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -67.05685615539551,\n              17.95089177269445\n            ],\n            [\n              -67.03256607055663,\n              17.95089177269445\n            ],\n            [\n              -67.03256607055663,\n              17.977671776594754\n            ],\n            [\n              -67.05685615539551,\n              17.977671776594754\n            ],\n            [\n              -67.05685615539551,\n              17.95089177269445\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"38","issue":"3","noUsgsAuthors":false,"publicationDate":"2011-02-15","publicationStatus":"PW","scienceBaseUri":"505a8df1e4b0c8380cd7ef14","contributors":{"authors":[{"text":"McGillis, W. R.","contributorId":88474,"corporation":false,"usgs":false,"family":"McGillis","given":"W.","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":458522,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Langdon, C.","contributorId":65597,"corporation":false,"usgs":true,"family":"Langdon","given":"C.","email":"","affiliations":[],"preferred":false,"id":458521,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Loose, B.","contributorId":33042,"corporation":false,"usgs":true,"family":"Loose","given":"B.","email":"","affiliations":[],"preferred":false,"id":458519,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Yates, Kimberly K. 0000-0001-8764-0358 kyates@usgs.gov","orcid":"https://orcid.org/0000-0001-8764-0358","contributorId":420,"corporation":false,"usgs":true,"family":"Yates","given":"Kimberly","email":"kyates@usgs.gov","middleInitial":"K.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":458523,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Corredor, J.","contributorId":37579,"corporation":false,"usgs":true,"family":"Corredor","given":"J.","email":"","affiliations":[],"preferred":false,"id":458520,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70156368,"text":"70156368 - 2011 - A synthesis: Informing collaborative conservation and management of Colorado Plateau resources","interactions":[],"lastModifiedDate":"2021-10-22T15:00:44.464824","indexId":"70156368","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"chapter":"17","title":"A synthesis: Informing collaborative conservation and management of Colorado Plateau resources","docAbstract":"<p>No abstract available.</p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"The Colorado Plateau V: Research, environmental planning, and management for collaborative conservation","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"University of Arizona Press","publisherLocation":"Tucson, AR","usgsCitation":"Villarreal, M.L., van Riper, C., van Riper, C.J., Johnson, M.J., and Selleck, S.S., 2011, A synthesis: Informing collaborative conservation and management of Colorado Plateau resources, chap. 17 <i>of</i> The Colorado Plateau V: Research, environmental planning, and management for collaborative conservation, p. 317-327.","productDescription":"11 p.","startPage":"317","endPage":"327","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-036749","costCenters":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"links":[{"id":307010,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57fe7fede4b0824b2d1479ff","contributors":{"editors":[{"text":"Villarreal, Miguel L. 0000-0003-0720-1422 mvillarreal@usgs.gov","orcid":"https://orcid.org/0000-0003-0720-1422","contributorId":1424,"corporation":false,"usgs":true,"family":"Villarreal","given":"Miguel","email":"mvillarreal@usgs.gov","middleInitial":"L.","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":568910,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Johnson, Matthew J. mjjohnson@usgs.gov","contributorId":3604,"corporation":false,"usgs":true,"family":"Johnson","given":"Matthew","email":"mjjohnson@usgs.gov","middleInitial":"J.","affiliations":[{"id":27989,"text":"Colorado Plateau Research Station, Northern Arizona University, Flagstaff, AZ","active":true,"usgs":false}],"preferred":false,"id":568911,"contributorType":{"id":2,"text":"Editors"},"rank":2},{"text":"van Riper, Charles III 0000-0003-1084-5843 charles_van_riper@usgs.gov","orcid":"https://orcid.org/0000-0003-1084-5843","contributorId":169488,"corporation":false,"usgs":true,"family":"van Riper","given":"Charles","suffix":"III","email":"charles_van_riper@usgs.gov","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":false,"id":568912,"contributorType":{"id":2,"text":"Editors"},"rank":3}],"authors":[{"text":"Villarreal, Miguel L. 0000-0003-0720-1422 mvillarreal@usgs.gov","orcid":"https://orcid.org/0000-0003-0720-1422","contributorId":1424,"corporation":false,"usgs":true,"family":"Villarreal","given":"Miguel","email":"mvillarreal@usgs.gov","middleInitial":"L.","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":568905,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"van Riper, Charles III 0000-0003-1084-5843 charles_van_riper@usgs.gov","orcid":"https://orcid.org/0000-0003-1084-5843","contributorId":169488,"corporation":false,"usgs":true,"family":"van Riper","given":"Charles","suffix":"III","email":"charles_van_riper@usgs.gov","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":false,"id":568906,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"van Riper, Carena J.","contributorId":42827,"corporation":false,"usgs":false,"family":"van Riper","given":"Carena","email":"","middleInitial":"J.","affiliations":[{"id":6747,"text":"Texas A&M University","active":true,"usgs":false}],"preferred":false,"id":568907,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Johnson, Matthew J. mjjohnson@usgs.gov","contributorId":3604,"corporation":false,"usgs":true,"family":"Johnson","given":"Matthew","email":"mjjohnson@usgs.gov","middleInitial":"J.","affiliations":[{"id":27989,"text":"Colorado Plateau Research Station, Northern Arizona University, Flagstaff, AZ","active":true,"usgs":false}],"preferred":false,"id":568908,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Selleck, S. Shane sselleck@usgs.gov","contributorId":123,"corporation":false,"usgs":true,"family":"Selleck","given":"S.","email":"sselleck@usgs.gov","middleInitial":"Shane","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":false,"id":568909,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70192332,"text":"70192332 - 2011 - Multi-scale clustering of functional data with application to hydraulic gradients in wetlands","interactions":[],"lastModifiedDate":"2017-10-25T15:06:27","indexId":"70192332","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5531,"text":"Journal of Data Science","onlineIssn":"1683-8602","printIssn":"1680-743X","active":true,"publicationSubtype":{"id":10}},"title":"Multi-scale clustering of functional data with application to hydraulic gradients in wetlands","docAbstract":"<p>A new set of methods are developed to perform cluster analysis of functions, motivated by a data set consisting of hydraulic gradients at several locations distributed across a wetland complex. The methods build on previous work on clustering of functions, such as Tarpey and Kinateder (2003) and Hitchcock et al. (2007), but explore functions generated from an additive model decomposition (Wood, 2006) of the original time se- ries. Our decomposition targets two aspects of the series, using an adaptive smoother for the trend and circular spline for the diurnal variation in the series. Different measures for comparing locations are discussed, including a method for efficiently clustering time series that are of different lengths using a functional data approach. The complicated nature of these wetlands are highlighted by the shifting group memberships depending on which scale of variation and year of the study are considered.</p>","language":"English","publisher":"Journal of Data Science","usgsCitation":"Greenwood, M.C., Sojda, R.S., Sharp, J.L., Peck, R.G., and Rosenberry, D.O., 2011, Multi-scale clustering of functional data with application to hydraulic gradients in wetlands: Journal of Data Science, v. 9, no. 3, p. 399-426.","productDescription":"28 p.","startPage":"399","endPage":"426","ipdsId":"IP-017612","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":347386,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":347357,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.jds-online.com/volume-9-number-3-july-2011"}],"volume":"9","issue":"3","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59f1a2abe4b0220bbd9d9fd9","contributors":{"authors":[{"text":"Greenwood, Mark C.","contributorId":87844,"corporation":false,"usgs":false,"family":"Greenwood","given":"Mark","email":"","middleInitial":"C.","affiliations":[{"id":13655,"text":"Montana State Univ.","active":true,"usgs":false}],"preferred":false,"id":715669,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sojda, Richard S. sojda@usgs.gov","contributorId":1663,"corporation":false,"usgs":true,"family":"Sojda","given":"Richard","email":"sojda@usgs.gov","middleInitial":"S.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":715670,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sharp, Julia L.","contributorId":33204,"corporation":false,"usgs":false,"family":"Sharp","given":"Julia","email":"","middleInitial":"L.","affiliations":[{"id":33234,"text":"Clemson University, Clemson, SC","active":true,"usgs":false}],"preferred":false,"id":715671,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Peck, Rory G.","contributorId":42984,"corporation":false,"usgs":false,"family":"Peck","given":"Rory","email":"","middleInitial":"G.","affiliations":[{"id":13655,"text":"Montana State Univ.","active":true,"usgs":false}],"preferred":false,"id":715672,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Rosenberry, Donald O. 0000-0003-0681-5641 rosenber@usgs.gov","orcid":"https://orcid.org/0000-0003-0681-5641","contributorId":1312,"corporation":false,"usgs":true,"family":"Rosenberry","given":"Donald","email":"rosenber@usgs.gov","middleInitial":"O.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":715816,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70034622,"text":"70034622 - 2011 - Expansion of tubenose gobies <i>Proterorhinus semilunaris</i> into western Lake Erie and potential effects on native species","interactions":[],"lastModifiedDate":"2012-12-27T14:41:16","indexId":"70034622","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1018,"text":"Biological Invasions","active":true,"publicationSubtype":{"id":10}},"title":"Expansion of tubenose gobies <i>Proterorhinus semilunaris</i> into western Lake Erie and potential effects on native species","docAbstract":"The Eurasian freshwater tubenose goby <i>Proterorhinus semilunaris</i> (formerly <i>Proterorhinus marmoratus</i>) invaded the Laurentian Great Lakes in the 1990s, presumably via ballast water from transoceanic cargo ships. Tubenose gobies spread throughout Lake St. Clair, its tributaries, and the Detroit River system, and also are present in the Duluth-Superior harbor of Lake Superior. Using seines and bottom trawls, we collected 113 tubenose gobies between July 2007 and August 2009 at several locations in western Lake Erie. The number and range of sizes of specimens collected suggest that that tubenose gobies have become established and self-sustaining in the western basin of Lake Erie. Tubenose gobies reached maximum densities in sheltered areas with abundant macrophyte growth, which also is their common habitat in native northern Black Sea populations. The diet of tubenose gobies was almost exclusively invertebrates, suggesting dietary overlap with other benthic fishes, such as darters (<i>Etheostoma</i> spp. and Percina sp.), madtoms (<i>Noturus</i> spp.), and sculpins (<i>Cottus</i> spp.). A single mitochondrial DNA haplotype was identified, which is the most common haplotype found in the original colonization area in the Lake St. Clair region, suggesting a founder effect. Tubenose gobies, like round gobies <i>Neogobius melanostomus</i>, have early life stages that drift owing to vertical migration, which probably allowed them to spread from areas of colonization. The Lake St. Clair-Lake Erie corridor appears to have served as an avenue for them to spread to the western basin of Lake Erie, and abundance of shallow macrophyte-rich habitats may be a key factor facilitating their further expansion within Lake Erie and the remainder of the Laurentian Great Lakes.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Biological Invasions","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Springer","publisherLocation":"Amsterdam, Netherlands","doi":"10.1007/s10530-011-9962-5","issn":"13873547","usgsCitation":"Kocovsky, P., Tallman, J., Jude, D., Murphy, D., Brown, J., and Stepien, C., 2011, Expansion of tubenose gobies <i>Proterorhinus semilunaris</i> into western Lake Erie and potential effects on native species: Biological Invasions, v. 13, no. 12, p. 2775-2784, https://doi.org/10.1007/s10530-011-9962-5.","productDescription":"10 p.","startPage":"2775","endPage":"2784","costCenters":[{"id":355,"text":"Lake Erie Biological Station","active":false,"usgs":true}],"links":[{"id":215564,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s10530-011-9962-5"},{"id":243376,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Lake Erie","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -83.48,41.4 ], [ -83.48,43.26 ], [ -78.85,43.26 ], [ -78.85,41.4 ], [ -83.48,41.4 ] ] ] } } ] }","volume":"13","issue":"12","noUsgsAuthors":false,"publicationDate":"2011-02-26","publicationStatus":"PW","scienceBaseUri":"505a0db6e4b0c8380cd53165","contributors":{"authors":[{"text":"Kocovsky, P.M.","contributorId":78447,"corporation":false,"usgs":true,"family":"Kocovsky","given":"P.M.","affiliations":[],"preferred":false,"id":446727,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Tallman, J.A.","contributorId":90559,"corporation":false,"usgs":true,"family":"Tallman","given":"J.A.","email":"","affiliations":[],"preferred":false,"id":446730,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Jude, D.J.","contributorId":13016,"corporation":false,"usgs":true,"family":"Jude","given":"D.J.","affiliations":[],"preferred":false,"id":446725,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Murphy, D.M.","contributorId":44379,"corporation":false,"usgs":true,"family":"Murphy","given":"D.M.","email":"","affiliations":[],"preferred":false,"id":446726,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Brown, J.E.","contributorId":79322,"corporation":false,"usgs":true,"family":"Brown","given":"J.E.","email":"","affiliations":[],"preferred":false,"id":446728,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Stepien, C.A.","contributorId":89738,"corporation":false,"usgs":true,"family":"Stepien","given":"C.A.","affiliations":[],"preferred":false,"id":446729,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70034405,"text":"70034405 - 2011 - Investigating the spatial distribution of water levels in the Mackenzie Delta using airborne LiDAR","interactions":[],"lastModifiedDate":"2021-04-21T16:38:21.588417","indexId":"70034405","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1924,"text":"Hydrological Processes","active":true,"publicationSubtype":{"id":10}},"title":"Investigating the spatial distribution of water levels in the Mackenzie Delta using airborne LiDAR","docAbstract":"<p><span>Airborne light detection and ranging (LiDAR) data were used to map water level (WL) and hydraulic gradients (δH/δx) in the Mackenzie Delta. The LiDAR WL data were validated against eight independent hydrometric gauge measurements and demonstrated mean offsets from − 0·22 to + 0·04 m (σ&lt; 0·11). LiDAR‐based WL gradients could be estimated with confidence over channel lengths exceeding 5–10 km where the WL change exceeded local noise levels in the LiDAR data. For the entire Delta, the LiDAR sample coverage indicated a rate of change in longitudinal gradient (δ</span><sup>2</sup><span>H/δx) of 5·5 × 10</span><sup>−10</sup><span>&nbsp;m m</span><sup>−2</sup><span>; therefore offering a potential means to estimate average flood stage hydraulic gradient for areas of the Delta not sampled or monitored. In the Outer Delta, within‐channel and terrain gradient measurements all returned a consistent estimate of − 1 × 10</span><sup>−5</sup><span>&nbsp;m m</span><sup>−1</sup><span>, suggesting that this is a typical hydraulic gradient for the downstream end of the Delta. For short reaches (&lt;10 km) of the Peel and Middle Channels in the middle of the Delta, significant and consistent hydraulic gradient estimates of − 5 × 10</span><sup>−5</sup><span>&nbsp;m m</span><sup>−1</sup><span>&nbsp;were observed. Evidence that hydraulic gradients can vary over short distances, however, was observed in the Peel Channel immediately upstream of Aklavik. A positive elevation anomaly (bulge) of &gt; 0·1 m was observed at a channel constriction entering a meander bend, suggesting a localized modification of the channel hydraulics. Furthermore, water levels in the anabranch channels of the Peel River were almost 1 m higher than in Middle Channel of the Mackenzie River. This suggests: (i) the channels are elevated and have shallower bank heights in this part of the delta, leading to increased cross‐delta and along‐channel hydraulic gradients; and/or (ii) a proportion of the Peel River flow is lost to Middle Channel due to drainage across the delta through anastamosing channels. This study has demonstrated that airborne LiDAR data contain valuable information describing Arctic river delta water surface and hydraulic attributes that would be challenging to acquire by other means.&nbsp;</span></p>","language":"English","publisher":"Wiley","doi":"10.1002/hyp.8167","issn":"08856087","usgsCitation":"Hopkinson, C., Crasto, N., Marsh, P., Forbes, D., and Lesack, L., 2011, Investigating the spatial distribution of water levels in the Mackenzie Delta using airborne LiDAR: Hydrological Processes, v. 25, no. 19, p. 2995-3011, https://doi.org/10.1002/hyp.8167.","productDescription":"17 p.","startPage":"2995","endPage":"3011","costCenters":[],"links":[{"id":244441,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":216563,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1002/hyp.8167"}],"country":"Canada","otherGeospatial":"Mackenzie Delta","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -136.669921875,\n              67.09310451852075\n            ],\n            [\n              -130.60546875,\n              67.09310451852075\n            ],\n            [\n              -130.60546875,\n              69.90011762668541\n            ],\n            [\n              -136.669921875,\n              69.90011762668541\n            ],\n            [\n              -136.669921875,\n              67.09310451852075\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"25","issue":"19","noUsgsAuthors":false,"publicationDate":"2011-06-03","publicationStatus":"PW","scienceBaseUri":"505a3e71e4b0c8380cd63dac","contributors":{"authors":[{"text":"Hopkinson, C.","contributorId":67749,"corporation":false,"usgs":true,"family":"Hopkinson","given":"C.","email":"","affiliations":[],"preferred":false,"id":445616,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Crasto, N.","contributorId":21369,"corporation":false,"usgs":true,"family":"Crasto","given":"N.","email":"","affiliations":[],"preferred":false,"id":445614,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Marsh, P.","contributorId":99279,"corporation":false,"usgs":true,"family":"Marsh","given":"P.","affiliations":[],"preferred":false,"id":445618,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Forbes, D.","contributorId":57681,"corporation":false,"usgs":true,"family":"Forbes","given":"D.","email":"","affiliations":[],"preferred":false,"id":445615,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Lesack, L.","contributorId":84177,"corporation":false,"usgs":true,"family":"Lesack","given":"L.","email":"","affiliations":[],"preferred":false,"id":445617,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70003447,"text":"70003447 - 2011 - Estimation of demographic parameters in a tiger population from long-term camera trap data","interactions":[],"lastModifiedDate":"2017-01-31T12:49:05","indexId":"70003447","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Estimation of demographic parameters in a tiger population from long-term camera trap data","docAbstract":"<p><span>Chapter 7 (Karanth et al.) illustrated the use of camera trapping in combination with closed population capture–recapture (CR) models to estimate densities of tigers Panthera tigris. Such estimates can be very useful for investigating variation across space for a particular species (e.g., Karanth et al. 2004) or variation among species at a specific location. In addition, estimates of density continued at the same site(s) over multiple years are very useful for understanding and managing populations of large carnivores. Such multi-year studies can yield estimates of rates of change in abundance. Additionally, because the fates of marked individuals are tracked through time, biologists can delve deeper into factors driving changes in abundance such as rates of survival, recruitment and movement (Williams et al. 2002). Fortunately, modern CR approaches permit the modeling of populations that change between sampling occasions as a result of births, deaths, immigration and emigration (Pollock et al. 1990; Nichols 1992). Some of these early “open population” models focused on estimation of survival rates and, to a lesser extent, abundance, but more recent models permit estimation of recruitment and movement rates as well.</span></p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Camera traps in animal ecology","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Springer","doi":"10.1007/978-4-431-99495-4_9","usgsCitation":"Karanth, K.U., and Nichols, J., 2011, Estimation of demographic parameters in a tiger population from long-term camera trap data, chap. <i>of</i> Camera traps in animal ecology, p. 145-161, https://doi.org/10.1007/978-4-431-99495-4_9.","productDescription":"17 p.","startPage":"145","endPage":"161","numberOfPages":"17","ipdsId":"IP-020298","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":334463,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5891b0aae4b072a7ac1298f9","contributors":{"editors":[{"text":"O’Connell, Allan F. 0000-0001-7032-7023 aoconnell@usgs.gov","orcid":"https://orcid.org/0000-0001-7032-7023","contributorId":471,"corporation":false,"usgs":true,"family":"O’Connell","given":"Allan","email":"aoconnell@usgs.gov","middleInitial":"F.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":661970,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Nichols, James D. jnichols@usgs.gov","contributorId":139087,"corporation":false,"usgs":true,"family":"Nichols","given":"James D.","email":"jnichols@usgs.gov","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":false,"id":661971,"contributorType":{"id":2,"text":"Editors"},"rank":2},{"text":"Karanth, K. Ullas","contributorId":6984,"corporation":false,"usgs":true,"family":"Karanth","given":"K.","email":"","middleInitial":"Ullas","affiliations":[],"preferred":false,"id":661972,"contributorType":{"id":2,"text":"Editors"},"rank":3}],"authors":[{"text":"Karanth, K. Ullas","contributorId":6984,"corporation":false,"usgs":true,"family":"Karanth","given":"K.","email":"","middleInitial":"Ullas","affiliations":[],"preferred":false,"id":661968,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Nichols, James D. jnichols@usgs.gov","contributorId":139087,"corporation":false,"usgs":true,"family":"Nichols","given":"James D.","email":"jnichols@usgs.gov","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":false,"id":661969,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70043293,"text":"70043293 - 2011 - On the terminology of the spectral vegetation index (NIR – SWIR)/(NIR + SWIR)","interactions":[],"lastModifiedDate":"2013-04-30T14:11:09","indexId":"70043293","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2068,"text":"International Journal of Remote Sensing","active":true,"publicationSubtype":{"id":10}},"title":"On the terminology of the spectral vegetation index (NIR – SWIR)/(NIR + SWIR)","docAbstract":"The spectral vegetation index (&rho;NIR – &rho;SWIR)/(&rho;NIR + &rho;SWIR), where &rho;NIR and &rho;SWIR are the near-infrared (NIR) and shortwave-infrared (SWIR) reflectances, respectively, has been widely used to indicate vegetation moisture condition. This index has multiple names in the literature, including infrared index (II), normalized difference infrared index (NDII), normalized difference water index (NDWI), normalized difference moisture index (NDMI), land surface water index (LSWI), and normalized burn ratio (NBR), etc. After reviewing each term’s definition, associated sensors, and channel specifications, we found that the index consists of three variants, differing only in the SWIR region (1.2–1.3 µm, 1.55–1.75 µm, or 2.05–2.45 µm). Thus, three terms are sufficient to represent these three SWIR variants; other names are redundant and therefore unnecessary. Considering the spectral representativeness, the term’s popularity, and the “rule of priority” in scientific nomenclature, NDWI, NDII, and NBR, each corresponding to the three SWIR regions, are more preferable terms.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"International Journal of Remote Sensing","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Taylor & Francis","doi":"10.1080/01431161.2010.510811","usgsCitation":"Ji, L., Zhang, L., Wylie, B.K., and Rover, J.R., 2011, On the terminology of the spectral vegetation index (NIR – SWIR)/(NIR + SWIR): International Journal of Remote Sensing, v. 32, no. 21, p. 6901-6909, https://doi.org/10.1080/01431161.2010.510811.","productDescription":"9 p.","startPage":"6901","endPage":"6909","numberOfPages":"9","additionalOnlineFiles":"N","ipdsId":"IP-022003","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":271677,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":271676,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1080/01431161.2010.510811"}],"volume":"32","issue":"21","noUsgsAuthors":false,"publicationDate":"2011-09-26","publicationStatus":"PW","scienceBaseUri":"5180e7eae4b0df838b924d84","contributors":{"authors":[{"text":"Ji, Lel","contributorId":98609,"corporation":false,"usgs":true,"family":"Ji","given":"Lel","email":"","affiliations":[],"preferred":false,"id":473312,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Zhang, Li","contributorId":98139,"corporation":false,"usgs":true,"family":"Zhang","given":"Li","affiliations":[],"preferred":false,"id":473311,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wylie, Bruce K. 0000-0002-7374-1083 wylie@usgs.gov","orcid":"https://orcid.org/0000-0002-7374-1083","contributorId":750,"corporation":false,"usgs":true,"family":"Wylie","given":"Bruce","email":"wylie@usgs.gov","middleInitial":"K.","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true},{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":473309,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Rover, Jennifer R. 0000-0002-3437-4030 jrover@usgs.gov","orcid":"https://orcid.org/0000-0002-3437-4030","contributorId":2941,"corporation":false,"usgs":true,"family":"Rover","given":"Jennifer","email":"jrover@usgs.gov","middleInitial":"R.","affiliations":[],"preferred":false,"id":473310,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70003435,"text":"70003435 - 2011 - Estimating tiger abundance from camera trap data: Field surveys and analytical issues","interactions":[],"lastModifiedDate":"2016-09-26T10:03:21","indexId":"70003435","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Estimating tiger abundance from camera trap data: Field surveys and analytical issues","docAbstract":"<p><span>Automated photography of tigers Panthera tigris for purely illustrative purposes was pioneered by British forester Fred Champion (1927, 1933) in India in the early part of the Twentieth Century. However, it was McDougal (1977) in Nepal who first used camera traps, equipped with single-lens reflex cameras activated by pressure pads, to identify individual tigers and study their social and predatory behaviors. These attempts involved a small number of expensive, cumbersome camera traps, and were not, in any formal sense, directed at “sampling” tiger populations.</span></p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Camera traps in animal ecology","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Springer","doi":"10.1007/978-4-431-99495-4_7","usgsCitation":"Karanth, K.U., and Nichols, J., 2011, Estimating tiger abundance from camera trap data: Field surveys and analytical issues, chap. <i>of</i> Camera traps in animal ecology, p. 97-117, https://doi.org/10.1007/978-4-431-99495-4_7.","productDescription":"21 p.","startPage":"97","endPage":"117","ipdsId":"IP-020311","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":328954,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57f7f5bae4b0bc0bec0a1818","contributors":{"editors":[{"text":"O’Connell, Allan F. 0000-0001-7032-7023 aoconnell@usgs.gov","orcid":"https://orcid.org/0000-0001-7032-7023","contributorId":471,"corporation":false,"usgs":true,"family":"O’Connell","given":"Allan","email":"aoconnell@usgs.gov","middleInitial":"F.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":649611,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Nichols, James D. jnichols@usgs.gov","contributorId":139087,"corporation":false,"usgs":true,"family":"Nichols","given":"James D.","email":"jnichols@usgs.gov","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":false,"id":649612,"contributorType":{"id":2,"text":"Editors"},"rank":2},{"text":"Karanth, K. Ullas","contributorId":6984,"corporation":false,"usgs":true,"family":"Karanth","given":"K.","email":"","middleInitial":"Ullas","affiliations":[],"preferred":false,"id":649613,"contributorType":{"id":2,"text":"Editors"},"rank":3}],"authors":[{"text":"Karanth, K. Ullas","contributorId":6984,"corporation":false,"usgs":true,"family":"Karanth","given":"K.","email":"","middleInitial":"Ullas","affiliations":[],"preferred":false,"id":649609,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Nichols, James D. jnichols@usgs.gov","contributorId":139087,"corporation":false,"usgs":true,"family":"Nichols","given":"James D.","email":"jnichols@usgs.gov","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":false,"id":649610,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70034841,"text":"70034841 - 2011 - Reservoir characterization of the Mt. Simon Sandstone, Illinois Basin, USA","interactions":[],"lastModifiedDate":"2021-04-15T11:38:14.910317","indexId":"70034841","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Reservoir characterization of the Mt. Simon Sandstone, Illinois Basin, USA","docAbstract":"<p id=\"sp000005\">The integration of open hole well log analyses, core analyses and pressure transient analyses was used for reservoir characterization of the Mt. Simon sandstone. Characterization of the injection interval provides the basis for a geologic model to support the baseline MVA model, specify pressure design requirements of surface equipment, develop completion strategies, estimate injection rates, and project the CO<sub>2</sub><span>&nbsp;</span>plume distribution.</p><p id=\"sp000010\">The Cambrian-age Mt. Simon Sandstone overlies the Precambrian granite basement of the Illinois Basin. The Mt. Simon is relatively thick formation exceeding 800&nbsp;meters in some areas of the Illinois Basin. In the deeper part of the basin where sequestration is likely to occur at depths exceeding 1000&nbsp;m, horizontal core permeability ranges from less than 1×10<sup>−12</sup>&nbsp;cm<sup>2</sup><span>&nbsp;</span>to greater than 1×10<sup>−8</sup>&nbsp;cm<sup>2</sup>. Well log and core porosity can be up to 30% in the basal Mt. Simon reservoir.</p><p id=\"sp000015\">For modeling purposes, reservoir characterization includes absolute horizontal and vertical permeability, effective porosity, net and gross thickness, and depth. For horizontal permeability, log porosity was correlated with core. The core porosity-permeability correlation was improved by using grain size as an indication of pore throat size. After numerous attempts to identify an appropriate log signature, the calculated cementation exponent from Archie’s porosity and resistivity relationships was used to identify which porosity-permeability correlation to apply and a permeability log was made.</p><p id=\"sp000020\">Due to the relatively large thickness of the Mt. Simon, vertical permeability is an important attribute to understand the distribution of CO<sub>2</sub><span>&nbsp;</span>when the injection interval is in the lower part of the unit. Only core analyses and specifically designed pressure transient tests can yield vertical permeability. Many reservoir flow models show that 500–800&nbsp;m from the injection well most of the CO<sub>2</sub><span>&nbsp;</span>migrates upward depending on the magnitude of the vertical permeability and CO<sub>2</sub><span>&nbsp;</span>injection rate (CO<sub>2</sub><span>&nbsp;</span>velocity). Assigning a specific value of vertical permeability to model cells is dependent on the vertical height of the model cell. Measured vertical permeability on core is scale dependent, such that lower vertical permeability is expected over longer core lengths compared to smaller lengths. Consequently, a series of vertical permeability tests were conducted on whole core varying in lengths of samples from 7&nbsp;cm to 30&nbsp;cm that showed vertical perm could change by an order of magnitude over a 30&nbsp;cm height.</p><p id=\"sp000025\">For one well, the results from a series of pressure transient tests over a perforated interval much smaller than the gross thickness (&lt;2%) confirmed the core-log based geologic model for vertical and horizontal permeability. A partial penetration model was used to estimate the horizontal and vertical permeability over a portion of the modeled area using series and parallel flow averaging techniques.</p>","conferenceTitle":"10th International Conference on Greenhouse Gas Control Technologies","conferenceDate":"September 19-23, 2010","conferenceLocation":"Amsterdam","language":"English","publisher":"Elsevier","doi":"10.1016/j.egypro.2011.02.534","issn":"18766102","usgsCitation":"Frailey, S., Damico, J., and Leetaru, H., 2011, Reservoir characterization of the Mt. Simon Sandstone, Illinois Basin, USA, 10th International Conference on Greenhouse Gas Control Technologies, v. 4, Amsterdam, September 19-23, 2010, p. 5487-5494, https://doi.org/10.1016/j.egypro.2011.02.534.","productDescription":"8 p.","startPage":"5487","endPage":"5494","costCenters":[],"links":[{"id":475166,"rank":10000,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.egypro.2011.02.534","text":"Publisher Index Page"},{"id":243831,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":215992,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.egypro.2011.02.534"}],"volume":"4","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505aa951e4b0c8380cd85d3a","contributors":{"authors":[{"text":"Frailey, S.M.","contributorId":93263,"corporation":false,"usgs":true,"family":"Frailey","given":"S.M.","email":"","affiliations":[],"preferred":false,"id":447891,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Damico, J.","contributorId":86196,"corporation":false,"usgs":true,"family":"Damico","given":"J.","email":"","affiliations":[],"preferred":false,"id":447890,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Leetaru, H.E.","contributorId":47123,"corporation":false,"usgs":true,"family":"Leetaru","given":"H.E.","email":"","affiliations":[],"preferred":false,"id":447889,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
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