{"pageNumber":"1363","pageRowStart":"34050","pageSize":"25","recordCount":165415,"records":[{"id":70045930,"text":"70045930 - 2014 - Diverse rupture modes for surface-deforming upper plate earthquakes in the southern Puget Lowland of Washington State","interactions":[],"lastModifiedDate":"2016-08-17T14:39:36","indexId":"70045930","displayToPublicDate":"2014-01-01T08:58:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1820,"text":"Geosphere","active":true,"publicationSubtype":{"id":10}},"title":"Diverse rupture modes for surface-deforming upper plate earthquakes in the southern Puget Lowland of Washington State","docAbstract":"<p><span>Earthquake prehistory of the southern Puget Lowland, in the north-south compressive regime of the migrating Cascadia forearc, reflects diverse earthquake rupture modes with variable recurrence. Stratigraphy and Bayesian analyses of previously reported and new&nbsp;</span><sup>14</sup><span>C ages in trenches and cores along backthrust scarps in the Seattle fault zone restrict a large earthquake to 1040&ndash;910 cal yr B.P. (2&sigma;), an interval that includes the time of the M 7&ndash;7.5 Restoration Point earthquake. A newly identified surface-rupturing earthquake along the Waterman Point backthrust dates to 940&ndash;380 cal yr B.P., bringing the number of earthquakes in the Seattle fault zone in the past 3500 yr to 4 or 5. Whether scarps record earthquakes of moderate (M 5.5&ndash;6.0) or large (M 6.5&ndash;7.0) magnitude, backthrusts of the Seattle fault zone may slip during moderate to large earthquakes every few hundred years for periods of 1000&ndash;2000 yr, and then not slip for periods of at least several thousands of years. Four new fault scarp trenches in the Tacoma fault zone show evidence of late Holocene folding and faulting about the time of a large earthquake or earthquakes inferred from widespread coseismic subsidence ca. 1000 cal yr B.P.; 12 ages from 8 sites in the Tacoma fault zone limit the earthquakes to 1050&ndash;980 cal yr B.P. Evidence is too sparse to determine whether a large earthquake was closely predated or postdated by other earthquakes in the Tacoma basin, but the scarp of the Tacoma fault was formed by multiple earthquakes. In the northeast-striking Saddle Mountain deformation zone, along the western limit of the Seattle and Tacoma fault zones, analysis of previous ages limits earthquakes to 1200&ndash;310 cal yr B.P. The prehistory clarifies earthquake clustering in the central Puget Lowland, but cannot resolve potential structural links among the three Holocene fault zones.</span></p>","language":"English","publisher":"Geological Society of America","doi":"10.1130/GES00967.1","usgsCitation":"Nelson, A.R., Personius, S.F., Sherrod, B.L., Kelsey, H.M., Johnson, S.Y., Bradley, L., and Wells, R.E., 2014, Diverse rupture modes for surface-deforming upper plate earthquakes in the southern Puget Lowland of Washington State: Geosphere, v. 10, no. 4, p. 769-796, https://doi.org/10.1130/GES00967.1.","productDescription":"28 p.","startPage":"769","endPage":"796","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-045562","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":473271,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1130/ges00967.1","text":"Publisher Index Page"},{"id":326745,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Washington","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -124,\n              47\n            ],\n            [\n              -124,\n              49\n            ],\n            [\n              -121,\n              49\n            ],\n            [\n              -121,\n              47\n            ],\n            [\n              -124,\n              47\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"10","issue":"4","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57b58ac3e4b03bcb0104bb83","contributors":{"authors":[{"text":"Nelson, Alan R. 0000-0001-7117-7098 anelson@usgs.gov","orcid":"https://orcid.org/0000-0001-7117-7098","contributorId":812,"corporation":false,"usgs":true,"family":"Nelson","given":"Alan","email":"anelson@usgs.gov","middleInitial":"R.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":645922,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Personius, Stephen F. personius@usgs.gov","contributorId":1214,"corporation":false,"usgs":true,"family":"Personius","given":"Stephen","email":"personius@usgs.gov","middleInitial":"F.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":false,"id":645923,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sherrod, Brian L.","contributorId":16874,"corporation":false,"usgs":true,"family":"Sherrod","given":"Brian","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":645924,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kelsey, Harvey M.","contributorId":101713,"corporation":false,"usgs":true,"family":"Kelsey","given":"Harvey","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":645925,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Johnson, Samuel Y. 0000-0001-7972-9977 sjohnson@usgs.gov","orcid":"https://orcid.org/0000-0001-7972-9977","contributorId":2607,"corporation":false,"usgs":true,"family":"Johnson","given":"Samuel","email":"sjohnson@usgs.gov","middleInitial":"Y.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":645926,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Bradley, Lee-Ann bradley@usgs.gov","contributorId":139003,"corporation":false,"usgs":true,"family":"Bradley","given":"Lee-Ann","email":"bradley@usgs.gov","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":645927,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Wells, Ray E. 0000-0002-7796-0160 rwells@usgs.gov","orcid":"https://orcid.org/0000-0002-7796-0160","contributorId":141072,"corporation":false,"usgs":true,"family":"Wells","given":"Ray","email":"rwells@usgs.gov","middleInitial":"E.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":false,"id":645928,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70259459,"text":"70259459 - 2014 - The geobiology of sediment-hosted mineral deposits","interactions":[],"lastModifiedDate":"2024-10-09T14:05:10.976611","indexId":"70259459","displayToPublicDate":"2014-01-01T08:56:32","publicationYear":"2014","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"chapter":"2","title":"The geobiology of sediment-hosted mineral deposits","docAbstract":"<p>The role of biological processes in the formation of sediment-hosted ore deposits has long been recognized. In this review, we focus on the biogeochemical cycling of C, Mn, Fe, and S as they relate to the formation of sediment-hosted Mn and Fe deposits, metalliferous black shales, clastic-dominated (CD) Pb-Zn deposits, and phosphorites. Biological mediation of ore-forming processes occurs over large spans of space and time. The most important step is oxygenic photosynthesis, a biological innovation dating from the Archean Eon that releases free oxygen into the surface oceans and atmosphere and delivers chemical potential, in the form of reduced carbon, to the seafloor. Photosynthetic oxygen is available to precipitate dissolved Fe<sup>2</sup>+ and Mn<sup>2</sup>+, and therefore it augments the formation of sedimentary Mn and Fe deposits, and drives oxidative weathering of exposed crust, thereby delivering sulfate and transition metals to the ocean. Where reduced carbon accumulates in the deep oceans and on the seafloor, bacterial sulfate reduction produces hydrogen sulfide thereby facilitating the formation of metalliferous black shales, sediment-hosted Pb and Zn sulfide deposits, and phosphorites. Thus, an understanding of major biogeochemical processes and how they have evolved over time is required in order to refine genetic models for sediment-hosted ore deposits and to guide future mineral exploration.</p><p>A close secular relationship between deposit formation and trends in major biogeochemical cycles provides a potentially powerful tool for mineral resource assessment. Sedimentary basins that formed during a time that is known to lack deposits of a particular metal can be eliminated during exploration programs, whereas others of permissive ages should be considered priorities. For example, sedimentary basins older than ca. 1.8 Ga are unlikely to contain large CD Pb-Zn deposits, and basins that formed between 1.6 and 0.6 Ga are not prospective for phosphorites. Recent technological advances in the application of nanometer-, micron-, and bulk-scale analytical techniques allow for imaging of complex biological structures and have provided new insights into the role of bacteria, not only in direct formation of mineral deposits, but also in leaching of metals from ore and mineralized rocks. Future exploration for, and exploitation of, mineral deposits may include offshore or land-based, low-grade, high-tonnage targets; understanding the role of bacteria in mineral growth, mineral dissolution, and redox transformations will aid in predicting where such deposits exist, and how metal extraction from ores can be enhanced.</p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Building exploration capability for the 21st century","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Society of Economic Geologists","doi":"10.5382/SP.18.02","usgsCitation":"Scott, C., Kelley, K.D., and Slack, J.F., 2014, The geobiology of sediment-hosted mineral deposits, chap. 2 <i>of</i> Building exploration capability for the 21st century, v. 18, p. 17-35, https://doi.org/10.5382/SP.18.02.","productDescription":"19 p.","startPage":"17","endPage":"35","ipdsId":"IP-056868","costCenters":[{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"links":[{"id":462740,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"18","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Scott, Clint 0000-0003-2778-2711 clintonscott@usgs.gov","orcid":"https://orcid.org/0000-0003-2778-2711","contributorId":5332,"corporation":false,"usgs":true,"family":"Scott","given":"Clint","email":"clintonscott@usgs.gov","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":915364,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kelley, Karen D. 0000-0002-3232-5809 kdkelley@usgs.gov","orcid":"https://orcid.org/0000-0002-3232-5809","contributorId":179012,"corporation":false,"usgs":true,"family":"Kelley","given":"Karen","email":"kdkelley@usgs.gov","middleInitial":"D.","affiliations":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":915365,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Slack, John F. 0000-0001-6600-3130 jfslack@usgs.gov","orcid":"https://orcid.org/0000-0001-6600-3130","contributorId":1032,"corporation":false,"usgs":true,"family":"Slack","given":"John","email":"jfslack@usgs.gov","middleInitial":"F.","affiliations":[{"id":387,"text":"Mineral Resources Program","active":true,"usgs":true},{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"preferred":true,"id":915366,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70116073,"text":"70116073 - 2014 - Effects of <i>Renibacterium salmoninarum</i> on olfactory organs of Chinook salmon (<i>Oncorhynchus tshawytscha</i>) marked with coded wire tags","interactions":[],"lastModifiedDate":"2016-04-26T09:46:52","indexId":"70116073","displayToPublicDate":"2014-01-01T02:30:00","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"title":"Effects of <i>Renibacterium salmoninarum</i> on olfactory organs of Chinook salmon (<i>Oncorhynchus tshawytscha</i>) marked with coded wire tags","docAbstract":"<p>Bacterial kidney disease (BKD) caused by <i>Renibacterium salmoninaru</i>m can cause significant morbidity and mortality in Chinook salmon (<i>Oncorhynchus tshawytscha</i>), particularly in Chinook salmon of the stream (spring) life history type, which migrate to sea as yearlings rather than subyearlings. <i>R. salmoninarum</i> can be transmitted vertically from the female parent to the progeny in association with the egg, as well as horizontally from fish to fish. This study was conducted as part of a research project to investigate whether the prevalence and intensity of <i>R. salmoninarum</i> infections in adult spring Chinook salmon could affect the survival and pathogen prevalence and intensity in their progeny (Pascho et al., 1991, 1993; Elliott et al., 1995). Fish from two brood years (1988 and 1989) were reared at Dworshak National Fish Hatchery (Idaho, USA) for about 1-1/2 years, released as yearling smolts, and allowed to migrate to the Pacific Ocean for maturation. The majority of progeny fish were marked with coded wire tags (CWTs) about 4 months before they were released from the hatchery so that adult returns could be monitored. The CWTs were implanted in the snouts of the fish by an experienced team of fish markers using automated wire-tagging machines. The intended placement site was the cartilage, skeletal muscle or loose connective tissue of the snout.</p>","largerWorkTitle":"Proceedings of the European Association of Fish Pathologists 16th International Conference on Diseases of Fish and Shellfish Histopathology Workshop. Sensory System Pathology.","language":"English","publisher":"European Association of Fish Pathologists","isbn":"0-9546666-7-4","usgsCitation":"Elliott, D.G., and Conway, C.M., 2014, Effects of <i>Renibacterium salmoninarum</i> on olfactory organs of Chinook salmon (<i>Oncorhynchus tshawytscha</i>) marked with coded wire tags, CD-ROM.","productDescription":"CD-ROM","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-055247","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":319854,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":289576,"type":{"id":15,"text":"Index Page"},"url":"https://eafp.org/histopathology-workshop/"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57209130e4b071321fe6561b","contributors":{"editors":[{"text":"Bruno, D.W.","contributorId":44319,"corporation":false,"usgs":true,"family":"Bruno","given":"D.W.","email":"","affiliations":[],"preferred":false,"id":626186,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Elliott, D.G.","contributorId":58226,"corporation":false,"usgs":true,"family":"Elliott","given":"D.G.","email":"","affiliations":[],"preferred":false,"id":626187,"contributorType":{"id":2,"text":"Editors"},"rank":2},{"text":"Nowak, B.","contributorId":84948,"corporation":false,"usgs":true,"family":"Nowak","given":"B.","email":"","affiliations":[],"preferred":false,"id":626188,"contributorType":{"id":2,"text":"Editors"},"rank":3}],"authors":[{"text":"Elliott, Diane G. 0000-0002-4809-6692 dgelliott@usgs.gov","orcid":"https://orcid.org/0000-0002-4809-6692","contributorId":2947,"corporation":false,"usgs":true,"family":"Elliott","given":"Diane","email":"dgelliott@usgs.gov","middleInitial":"G.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":519037,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Conway, Carla M. 0000-0002-3851-3616 cmconway@usgs.gov","orcid":"https://orcid.org/0000-0002-3851-3616","contributorId":2946,"corporation":false,"usgs":true,"family":"Conway","given":"Carla","email":"cmconway@usgs.gov","middleInitial":"M.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":519036,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70173891,"text":"70173891 - 2014 - Age-Ratios and Condition of En Route Migrant Blackpoll Warblers in the British Virgin Islands","interactions":[],"lastModifiedDate":"2016-06-15T12:57:02","indexId":"70173891","displayToPublicDate":"2014-01-01T00:15:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3784,"text":"Wilson Journal of Ornithology","active":true,"publicationSubtype":{"id":10}},"title":"Age-Ratios and Condition of En Route Migrant Blackpoll Warblers in the British Virgin Islands","docAbstract":"<p><span>The en route migration ecology of Blackpoll Warblers (</span><i>Setophaga striata</i><span>) is poorly understood, yet intriguing. Blackpoll Warblers undertake the longest open water migration of any wood warbler species, traveling from northeastern North America to South America, with the first potential landfall being the West Indies. This migration requires substantial energy reserves and subjects Blackpoll Warblers to unpredictable weather events, which may influence survival. Few studies have examined age ratios or condition of Blackpoll Warblers while the warblers are en route through the Caribbean region. I captured and banded Blackpoll Warblers in the British Virgin Islands over 10 consecutive autumn migrations. Ratios of hatch-year to adult Blackpoll Warblers were variable but averaged lower than the ratios reported at continental departure locations. Average mass of Blackpoll Warblers was less than that reported at continental departure locations, with 26% of adults and 40% of hatch-year birds below the estimated fat free mass; hatch-year birds were consistently in poorer condition than adults. Blackpoll Warblers captured in the British Virgin Islands were also in poorer condition than those reported from the Dominican Republic and Barbados; this may be because of the British Virgin Islands being the first landfall after the transatlantic crossing, whereas Blackpoll Warblers arriving at the other Caribbean study locations may have had opportunities for stopover prior to arrival or have departed from farther south on the continent. However, this suggests that the British Virgin Islands likely provide important stopover habitat as a first landfall location for Blackpoll Warblers arriving from the transatlantic migration route.</span></p>","language":"English","publisher":"The Wilson Ornithological Society","doi":"10.1676/13-113.1","collaboration":"Texas Cooperative Fish and Wildlife Research Unit","usgsCitation":"Boal, C.W., 2014, Age-Ratios and Condition of En Route Migrant Blackpoll Warblers in the British Virgin Islands: Wilson Journal of Ornithology, v. 126, no. 3, p. 568-574, https://doi.org/10.1676/13-113.1.","productDescription":"7 p.","startPage":"568","endPage":"574","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-046149","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":323685,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"British Virgin Islands","state":"Guana Island","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -64.59094047546385,\n              18.461617616110175\n            ],\n            [\n              -64.59094047546385,\n              18.49222636014645\n            ],\n            [\n              -64.55437660217285,\n              18.49222636014645\n            ],\n            [\n              -64.55437660217285,\n              18.461617616110175\n            ],\n            [\n              -64.59094047546385,\n              18.461617616110175\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"126","issue":"3","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57627c2de4b07657d19a69be","contributors":{"authors":[{"text":"Boal, Clint W. 0000-0001-6008-8911 cboal@usgs.gov","orcid":"https://orcid.org/0000-0001-6008-8911","contributorId":1909,"corporation":false,"usgs":true,"family":"Boal","given":"Clint","email":"cboal@usgs.gov","middleInitial":"W.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":638895,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70173889,"text":"70173889 - 2014 - A comparison of two gears for quantifying abundance of lotic-dwelling crayfish","interactions":[],"lastModifiedDate":"2016-06-15T13:05:30","indexId":"70173889","displayToPublicDate":"2014-01-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2235,"text":"Journal of Crustacean Biology","active":true,"publicationSubtype":{"id":10}},"title":"A comparison of two gears for quantifying abundance of lotic-dwelling crayfish","docAbstract":"<p><span>Crayfish (saddlebacked crayfish, Orconectes medius) catch was compared using a kick seine applied two different ways with a 1-m2 quadrat sampler (with known efficiency and bias in riffles) from three small streams in the Missouri Ozarks. Triplicate samples (one of each technique) were taken from two creeks and one headwater stream (n=69 sites) over a two-year period. General linear mixed models showed the number of crayfish collected using the quadrat sampler was greater than the number collected using either of the two seine techniques. However, there was no significant interaction with gear suggesting year, stream size, and channel unit type did not relate to different catches of crayfish by gear type. Variation in catch among gears was similar, as was the proportion of young-of-year individuals across samples taken with different gears or techniques. Negative binomial linear regression provided the appropriate relation between the gears which allows correction factors to be applied, if necessary, to relate catches by the kick seine to those of the quadrat sampler. The kick seine appears to be a reasonable substitute to the quadrat sampler in these shallow streams, with the advantage of ease of use and shorter time required per sample.</span></p>","language":"English","publisher":"Crustacean Society","publisherLocation":"Washington, D.C.","doi":"10.1163/1937240X-00002212","issn":"1937-240X","collaboration":"Oklahoma Cooperative Fish and Wildlife Research Unit","usgsCitation":"Williams, K., Brewer, S.K., and Ellersieck, M.R., 2014, A comparison of two gears for quantifying abundance of lotic-dwelling crayfish: Journal of Crustacean Biology, v. 34, no. 1, p. 54-60, https://doi.org/10.1163/1937240X-00002212.","productDescription":"7 p.","startPage":"54","endPage":"60","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-045893","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":473295,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1163/1937240x-00002212","text":"Publisher Index Page"},{"id":323687,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"34","issue":"1","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57627c2be4b07657d19a69b0","contributors":{"authors":[{"text":"Williams, Kristi","contributorId":171893,"corporation":false,"usgs":false,"family":"Williams","given":"Kristi","email":"","affiliations":[],"preferred":false,"id":639026,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Brewer, Shannon K. 0000-0002-1537-3921 skbrewer@usgs.gov","orcid":"https://orcid.org/0000-0002-1537-3921","contributorId":2252,"corporation":false,"usgs":true,"family":"Brewer","given":"Shannon","email":"skbrewer@usgs.gov","middleInitial":"K.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true},{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":638893,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ellersieck, Mark R.","contributorId":80841,"corporation":false,"usgs":true,"family":"Ellersieck","given":"Mark","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":639027,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70127817,"text":"70127817 - 2014 - The misconception of ecosystem disservices: How a catchy term may yield the wrong messages for science and society","interactions":[],"lastModifiedDate":"2017-04-28T09:30:48","indexId":"70127817","displayToPublicDate":"2014-01-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1477,"text":"Ecosystem Services","active":true,"publicationSubtype":{"id":10}},"title":"The misconception of ecosystem disservices: How a catchy term may yield the wrong messages for science and society","docAbstract":"<p>In their recent article, Shapiro and Báldi (2014) build on the long-running narrative of “ecosystem services and disservices” (e.g., Zhang et al., 2007 ; Lyytimäki et al., 2008), describing how nature yields both benefits and harms to society. These harms include crop pests, floods, landslides, wildfires, and zoonotic disease transmission, among others. While we agree with their argument that calculation of these harms is commonplace and corresponding quantification of benefits is needed, we feel the use of the concept of “ecosystem disservices” hampers, rather than helps, the development of an integrative and constructive dialogue about conservation and the complex interrelationships between humans and nature. Estimation of costs and benefits and their balancing as positives or negatives is a principal activity in economics; however, we fear that in this case the term “disservice” carries the wrong message for both science and society.</p>","publisher":"Elsevier","doi":"10.1016/j.ecoser.2014.09.003","usgsCitation":"Villa, F., Bagstad, K.J., Voigt, B., Johnson, G.W., Athanasiadis, I., and Balbi, S., 2014, The misconception of ecosystem disservices: How a catchy term may yield the wrong messages for science and society: Ecosystem Services, v. 10, p. 52-53, https://doi.org/10.1016/j.ecoser.2014.09.003.","productDescription":"2 p.","startPage":"52","endPage":"53","ipdsId":"IP-057447","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":501084,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://research.wur.nl/en/publications/the-misconception-of-ecosystem-disservices-how-a-catchy-term-may-","text":"External Repository"},{"id":340584,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"10","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"590454a8e4b022cee40dc25c","contributors":{"authors":[{"text":"Villa, Ferdinando","contributorId":84249,"corporation":false,"usgs":true,"family":"Villa","given":"Ferdinando","affiliations":[],"preferred":false,"id":519646,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bagstad, Kenneth J. 0000-0001-8857-5615 kjbagstad@usgs.gov","orcid":"https://orcid.org/0000-0001-8857-5615","contributorId":3680,"corporation":false,"usgs":true,"family":"Bagstad","given":"Kenneth","email":"kjbagstad@usgs.gov","middleInitial":"J.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":519645,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Voigt, Brian","contributorId":102962,"corporation":false,"usgs":true,"family":"Voigt","given":"Brian","affiliations":[],"preferred":false,"id":519648,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Johnson, Gary W.","contributorId":90618,"corporation":false,"usgs":true,"family":"Johnson","given":"Gary","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":519647,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Athanasiadis, Ioannis N","contributorId":119857,"corporation":false,"usgs":true,"family":"Athanasiadis","given":"Ioannis N","affiliations":[],"preferred":false,"id":519649,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Balbi, Stefano","contributorId":121310,"corporation":false,"usgs":true,"family":"Balbi","given":"Stefano","affiliations":[],"preferred":false,"id":519650,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70175378,"text":"70175378 - 2014 - Summary of preliminary step-trend analysis from the Interagency Whitebark Pine Long-termMonitoring Program—2004-2013","interactions":[],"lastModifiedDate":"2016-10-13T13:50:38","indexId":"70175378","displayToPublicDate":"2014-01-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":1,"text":"Federal Government Series"},"seriesTitle":{"id":52,"text":"Natural Resource Data Series","active":false,"publicationSubtype":{"id":1}},"seriesNumber":"NPS/GRYN/NRDS—2014/600","title":"Summary of preliminary step-trend analysis from the Interagency Whitebark Pine Long-termMonitoring Program—2004-2013","docAbstract":"<p>In mixed and dominant stands, whitebark pine (<i>Pinus albicaulis</i>) occurs in over two million acres within the six national forests and two national parks that comprise the Greater Yellowstone Ecosystem (GYE). Currently, whitebark pine, an ecologically important species, is impacted by multiple ecological disturbances; white pine blister rust (<i>Cronartium ribicola</i>), mountain pine beetle (<i>Dendroctonus ponderosae</i>), wildfire, and climate change all pose significant threats to the persistence of whitebark pine populations. Substantial declines in whitebark pine populations have been documented throughout its range.</p><p>Under the auspices of the Greater Yellowstone Coordinating Committee (GYCC), several agencies began a collaborative, long-term monitoring program to track and document the status of whitebark pine across the GYE. This alliance resulted in the formation of the Greater Yellowstone Whitebark Pine Monitoring Working Group (GYWPMWG), which consists of representatives from the U.S. Forest Service (USFS), National Park Service (NPS), U.S. Geological Survey (USGS), and Montana State University (MSU). This groundbased monitoring program was initiated in 2004 and follows a peer-reviewed protocol (GYWPMWG 2011). The program is led by the Greater Yellowstone Inventory and Monitoring Network (GRYN) of the National Park Service in coordination with multiple agencies. More information about this monitoring effort is available at: http://science. nature.nps.gov/im/units/gryn/monitor/whitebark_pine.cfm. </p><p>The purpose of this report is to provide a draft summary of the first step-trend analysis for the interagency, long-term monitoring of whitebark pine health to the Interagency Grizzly Bear Study Team (IGBST) as part of a synthesis of the state of whitebark pine in the GYE. Due to the various stages of the analyses and reporting, this is the most efficient way to provide these results to the IGBST.</p>","language":"English","publisher":"National Park Service","publisherLocation":"Fort Collins, CO","usgsCitation":"Legg, K., Shanahan, E., Daley, R., and Irvine, K.M., 2014, Summary of preliminary step-trend analysis from the Interagency Whitebark Pine Long-termMonitoring Program—2004-2013: Natural Resource Data Series NPS/GRYN/NRDS—2014/600, vi, 16 p.","productDescription":"vi, 16 p.","numberOfPages":"24","ipdsId":"IP-053283","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":329539,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":329538,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://irma.nps.gov/DataStore/Reference/Profile/2206461"}],"country":"United States","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -113.477783203125,\n              42.147114459220994\n            ],\n            [\n              -113.477783203125,\n              45.92822950933618\n            ],\n            [\n              -108.56689453125,\n              45.92822950933618\n            ],\n            [\n              -108.56689453125,\n              42.147114459220994\n            ],\n            [\n              -113.477783203125,\n              42.147114459220994\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57ffdf00e4b0824b2d179d02","contributors":{"authors":[{"text":"Legg, Kristin","contributorId":146451,"corporation":false,"usgs":false,"family":"Legg","given":"Kristin","affiliations":[{"id":16697,"text":"National Park Service, Greater Yellowstone Network, 2327 University Way, Suite 2, Bozeman, MT 59715, USA","active":true,"usgs":false}],"preferred":false,"id":644984,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Shanahan, Erin","contributorId":173524,"corporation":false,"usgs":false,"family":"Shanahan","given":"Erin","affiliations":[{"id":27242,"text":"Greater Yellowstone Inventory and Monitoring Network, NPS","active":true,"usgs":false}],"preferred":false,"id":644985,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Daley, Rob","contributorId":146450,"corporation":false,"usgs":false,"family":"Daley","given":"Rob","affiliations":[{"id":16696,"text":"5National Park Service, Greater Yellowstone Network, 2327 University Way, Suite 2, Bozeman, MT 59715, USA","active":true,"usgs":false}],"preferred":false,"id":644986,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Irvine, Kathryn M. 0000-0002-6426-940X kirvine@usgs.gov","orcid":"https://orcid.org/0000-0002-6426-940X","contributorId":2218,"corporation":false,"usgs":true,"family":"Irvine","given":"Kathryn","email":"kirvine@usgs.gov","middleInitial":"M.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":644983,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70175548,"text":"70175548 - 2014 - Fifty-fifth supplement to the American Ornithologists' Union <i>Check-list of North American Birds</i>","interactions":[],"lastModifiedDate":"2017-10-24T15:16:28","indexId":"70175548","displayToPublicDate":"2014-01-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3544,"text":"The Auk","onlineIssn":"1938-4254","printIssn":"0004-8038","active":true,"publicationSubtype":{"id":10}},"title":"Fifty-fifth supplement to the American Ornithologists' Union <i>Check-list of North American Birds</i>","docAbstract":"<p>This is the 14th supplement since publication of the 7th edition of the <i>Check-list of North American Birds</i> (American Ornithologists' Union [AOU] 1998). It summarizes decisions made between May 15, 2013, and May 15, 2014, by the AOU's Committee on Classification and Nomenclature - North and Middle America. The Committee has continued to operate in the manner outlined in the 42nd Supplement (AOU 2000).</p>","language":"English","publisher":"American Ornithological Society","doi":"10.1642/AUK-14-124.1","usgsCitation":"Chesser, R., Banks, R.C., Cicero, C., Dunn, J.L., Kratter, A.W., Lovette, I.J., Navarro-Siguenza, A.G., Rasmussen, P.C., Remsen, J., Rising, J.D., Stotz, D.F., and Winker, K., 2014, Fifty-fifth supplement to the American Ornithologists' Union <i>Check-list of North American Birds</i>: The Auk, v. 131, no. 4, p. CSi-CSxv, https://doi.org/10.1642/AUK-14-124.1.","productDescription":"15 p.","startPage":"CSi","endPage":"CSxv","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-057404","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":473294,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1642/auk-14-124.1","text":"Publisher Index Page"},{"id":326584,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"131","issue":"4","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57b43944e4b03bcb01039fb8","contributors":{"authors":[{"text":"Chesser, R. Terry 0000-0003-4389-7092 tchesser@usgs.gov","orcid":"https://orcid.org/0000-0003-4389-7092","contributorId":894,"corporation":false,"usgs":true,"family":"Chesser","given":"R. Terry","email":"tchesser@usgs.gov","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":false,"id":645637,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Banks, Richard C.","contributorId":102933,"corporation":false,"usgs":true,"family":"Banks","given":"Richard","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":645638,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cicero, Carla","contributorId":145565,"corporation":false,"usgs":false,"family":"Cicero","given":"Carla","email":"","affiliations":[{"id":6609,"text":"UC Berkeley","active":true,"usgs":false}],"preferred":false,"id":645639,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Dunn, Jon L.","contributorId":145566,"corporation":false,"usgs":false,"family":"Dunn","given":"Jon","email":"","middleInitial":"L.","affiliations":[{"id":590,"text":"U.S. Army Corps of Engineers","active":false,"usgs":false}],"preferred":false,"id":645640,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kratter, Andrew W.","contributorId":145567,"corporation":false,"usgs":false,"family":"Kratter","given":"Andrew","email":"","middleInitial":"W.","affiliations":[{"id":16151,"text":"Univ Fla","active":true,"usgs":false}],"preferred":false,"id":645641,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Lovette, Irby J.","contributorId":145573,"corporation":false,"usgs":false,"family":"Lovette","given":"Irby","email":"","middleInitial":"J.","affiliations":[{"id":12722,"text":"Cornell University","active":true,"usgs":false}],"preferred":false,"id":645642,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Navarro-Siguenza, Adolfo G.","contributorId":145568,"corporation":false,"usgs":false,"family":"Navarro-Siguenza","given":"Adolfo","email":"","middleInitial":"G.","affiliations":[{"id":16152,"text":"UNAM","active":true,"usgs":false}],"preferred":false,"id":645643,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Rasmussen, Pamela C.","contributorId":145569,"corporation":false,"usgs":false,"family":"Rasmussen","given":"Pamela","email":"","middleInitial":"C.","affiliations":[{"id":16153,"text":"Mich St Univ","active":true,"usgs":false}],"preferred":false,"id":645644,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Remsen, J.V. Jr.","contributorId":82258,"corporation":false,"usgs":true,"family":"Remsen","given":"J.V.","suffix":"Jr.","email":"","affiliations":[],"preferred":false,"id":645645,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Rising, James D.","contributorId":145571,"corporation":false,"usgs":false,"family":"Rising","given":"James","email":"","middleInitial":"D.","affiliations":[{"id":16155,"text":"Univ Toronto","active":true,"usgs":false}],"preferred":false,"id":645646,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Stotz, Douglas F.","contributorId":145572,"corporation":false,"usgs":false,"family":"Stotz","given":"Douglas","email":"","middleInitial":"F.","affiliations":[{"id":16156,"text":"FMNH","active":true,"usgs":false}],"preferred":false,"id":645647,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Winker, Kevin","contributorId":140814,"corporation":false,"usgs":false,"family":"Winker","given":"Kevin","email":"","affiliations":[{"id":13586,"text":"University of Alaska Museum, University of Alaska Fairbanks, Fairbanks, Alaska, USA","active":true,"usgs":false}],"preferred":false,"id":645648,"contributorType":{"id":1,"text":"Authors"},"rank":12}]}}
,{"id":70137757,"text":"70137757 - 2014 - Mount Rainier National Park","interactions":[],"lastModifiedDate":"2017-11-22T15:53:48","indexId":"70137757","displayToPublicDate":"2014-01-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":4,"text":"Other Government Series"},"title":"Mount Rainier National Park","docAbstract":"<p>Natural Resource Condition Assessments (NRCAs) evaluate current conditions for a subset of natural resources and resource indicators in national parks. NRCAs also report on trends in resource condition (when possible), identify critical data gaps, and characterize a general level of confidence for study findings. The resources and indicators emphasized in a given project depend on the park’s resource setting, status of resource stewardship planning and science in identifying high-priority indicators, and availability of data and expertise to assess current conditions for a variety of potential study resources and indicators. Although the primary objective of NRCAs is to report on current conditions relative to logical forms of reference conditions and values, NRCAs also report on trends, when appropriate (i.e., when the underlying data and methods support such reporting), as well as influences on resource conditions. These influences may include past activities or conditions that provide a helpful context for understanding current conditions and present-day threats and stressors that are best interpreted at park, watershed, or landscape scales (though NRCAs do not report on condition status for land areas and natural resources beyond park boundaries). Intensive cause-andeffect analyses of threats and stressors, and development of detailed treatment options, are outside the scope of NRCAs. It is also important to note that NRCAs do not address resources that lack sufficient data for assessment. For Mount Rainier National Park, this includes most invertebrate species and many other animal species that are subject to significant stressors from climate change and other anthropogenic sources such as air pollutants and recreational use. In addition, we did not include an analysis of the physical hydrology associated with streams (such as riverine landforms, erosion and aggradation which is significant in MORA streams), due to a loss of staff expertise from the USGS-BRD staff conducting the work, and human disturbance landcover issues such as the effects of roads, trails, and other anthropogenic developments due to lack of funds. </p>","language":"English","publisher":"National Park Service","usgsCitation":"Hoffman, R., Woodward, A., Haggerty, P.K., Jenkins, K.J., Griffin, P., Adams, M.J., Hagar, J., Cummings, T., Duriscoe, D., Kopper, K., Riedel, J., Samora, B., Marin, L., Mauger, G., Bumbaco, K., and Littell, J.S., 2014, Mount Rainier National Park, xxvi., 353 p. .","productDescription":"xxvi., 353 p. 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,{"id":70150407,"text":"70150407 - 2014 - Efficient 3D movement-based kernel density estimator and application to wildlife ecology","interactions":[],"lastModifiedDate":"2015-08-20T11:25:47","indexId":"70150407","displayToPublicDate":"2014-01-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Efficient 3D movement-based kernel density estimator and application to wildlife ecology","docAbstract":"<p>We describe an efficient implementation of a 3D movement-based kernel density estimator for determining animal space use from discrete GPS measurements. This new method provides more accurate results, particularly for species that make large excursions in the vertical dimension. The downside of this approach is that it is much more computationally expensive than simpler, lower-dimensional models. Through a combination of code restructuring, parallelization and performance optimization, we were able to reduce the time to solution by up to a factor of 1000x, thereby greatly improving the applicability of the method.</p>","largerWorkType":{"id":24,"text":"Conference Paper"},"largerWorkTitle":"Proceedings of the 2014 Annual Conference on Extreme Science and Engineering Discovery Environment","largerWorkSubtype":{"id":19,"text":"Conference Paper"},"conferenceTitle":"2014 Annual Conference on Extreme Science and Engineering Discovery Environment","conferenceDate":"July 13-18, 2014","conferenceLocation":"Atlanta, GA","language":"English","publisher":"ACM","doi":"10.1145/2616498.2616522","usgsCitation":"Tracey-PR, J., Sheppard, J.K., Lockwood, G.K., Chourasia, A., Tatineni, M., Fisher, R.N., and Sinkovits, R.S., 2014, Efficient 3D movement-based kernel density estimator and application to wildlife ecology, <i>in</i> Proceedings of the 2014 Annual Conference on Extreme Science and Engineering Discovery Environment, Atlanta, GA, July 13-18, 2014, art14, https://doi.org/10.1145/2616498.2616522.","productDescription":"art14","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-057568","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":307000,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationDate":"2014-07-13","publicationStatus":"PW","scienceBaseUri":"55d6fa32e4b0518e3546bc37","contributors":{"authors":[{"text":"Tracey-PR, Jeff 0000-0002-1619-1054 jatracey@usgs.gov","orcid":"https://orcid.org/0000-0002-1619-1054","contributorId":143685,"corporation":false,"usgs":true,"family":"Tracey-PR","given":"Jeff","email":"jatracey@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":556791,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sheppard, James K.","contributorId":76982,"corporation":false,"usgs":true,"family":"Sheppard","given":"James","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":556792,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lockwood, Glenn K.","contributorId":143686,"corporation":false,"usgs":false,"family":"Lockwood","given":"Glenn","email":"","middleInitial":"K.","affiliations":[{"id":15303,"text":"University of California, San Diego","active":true,"usgs":false}],"preferred":false,"id":556793,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Chourasia, Amit","contributorId":143687,"corporation":false,"usgs":false,"family":"Chourasia","given":"Amit","email":"","affiliations":[{"id":15303,"text":"University of California, San Diego","active":true,"usgs":false}],"preferred":false,"id":556794,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Tatineni, Mahidhar","contributorId":143688,"corporation":false,"usgs":false,"family":"Tatineni","given":"Mahidhar","email":"","affiliations":[{"id":15303,"text":"University of California, San Diego","active":true,"usgs":false}],"preferred":false,"id":556795,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Fisher, Robert N. 0000-0002-2956-3240 rfisher@usgs.gov","orcid":"https://orcid.org/0000-0002-2956-3240","contributorId":1529,"corporation":false,"usgs":true,"family":"Fisher","given":"Robert","email":"rfisher@usgs.gov","middleInitial":"N.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":556790,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Sinkovits, Robert S.","contributorId":143689,"corporation":false,"usgs":false,"family":"Sinkovits","given":"Robert","email":"","middleInitial":"S.","affiliations":[{"id":15303,"text":"University of California, San Diego","active":true,"usgs":false}],"preferred":false,"id":556796,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70194461,"text":"70194461 - 2014 - Utilizing multi-sensor fire detections to map fires in the United States","interactions":[],"lastModifiedDate":"2018-04-23T09:10:31","indexId":"70194461","displayToPublicDate":"2014-01-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Utilizing multi-sensor fire detections to map fires in the United States","docAbstract":"<p>In 2006, the Monitoring Trends in Burn Severity (MTBS) project began a cooperative effort between the US Forest Service (USFS) and the U.S.Geological Survey (USGS) to map and assess burn severity all large fires that have occurred in the United States since 1984. Using Landsat imagery, MTBS is mandated to map wildfire and prescribed fire that meet specific size criteria: greater than 1000 acres in the west and 500 acres in the east, regardless of ownership. Relying mostly on federal and state fire occurrence records, over 15,300 individual fires have been mapped. While mapping recorded fires, an additional 2,700 “unknown” or undocumented fires were discovered and assessed. It has become apparent that there are perhaps thousands of undocumented fires in the US that are yet to be mapped. Fire occurrence records alone are inadequate if MTBS is to provide a comprehensive accounting of fire across the US. Additionally, the sheer number of fires to assess has overwhelmed current manual procedures. To address these problems, the National Aeronautics and Space Administration (NASA) Applied Sciences Program is helping to fund the efforts of the USGS and its MTBS partners (USFS, National Park Service) to develop, and implement a system to automatically identify fires using satellite data. In near real time, USGS will combine active fire satellite detections from MODIS, AVHRR and GOES satellites with Landsat acquisitions. Newly acquired Landsat imagery will be routinely scanned to identify freshly burned area pixels, derive an initial perimeter and tag the burned area with the satellite date and time of detection. Landsat imagery from the early archive will be scanned to identify undocumented fires. Additional automated fire assessment processes will be developed. The USGS will develop these processes using open source software packages in order to provide freely available tools to local land managers providing them with the capability to assess fires at the local level.</p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Volume XL-1,","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"ISPRS Technical Commission I Symposium","conferenceDate":"November 17-20, 2014","conferenceLocation":"Denver, CO","language":"English","publisher":"ISPRS","doi":"10.5194/isprsarchives-XL-1-161-2014","usgsCitation":"Howard, S.M., Picotte, J.J., and Coan, M., 2014, Utilizing multi-sensor fire detections to map fires in the United States, <i>in</i> The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Volume XL-1,, v. XL-1, Denver, CO, November 17-20, 2014, p. 161-166, https://doi.org/10.5194/isprsarchives-XL-1-161-2014.","productDescription":"6 p.","startPage":"161","endPage":"166","ipdsId":"IP-060379","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":473416,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.5194/isprsarchives-xl-1-161-2014","text":"Publisher Index Page"},{"id":350086,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"XL-1","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationDate":"2014-11-07","publicationStatus":"PW","scienceBaseUri":"5a6100c8e4b06e28e9c2540f","contributors":{"authors":[{"text":"Howard, Stephen M. 0000-0001-5255-5882 smhoward@usgs.gov","orcid":"https://orcid.org/0000-0001-5255-5882","contributorId":3483,"corporation":false,"usgs":true,"family":"Howard","given":"Stephen","email":"smhoward@usgs.gov","middleInitial":"M.","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":723939,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Picotte, Joshua J. 0000-0002-4021-4623 jpicotte@usgs.gov","orcid":"https://orcid.org/0000-0002-4021-4623","contributorId":4626,"corporation":false,"usgs":true,"family":"Picotte","given":"Joshua","email":"jpicotte@usgs.gov","middleInitial":"J.","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":725216,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Coan, Michael mcoan@usgs.gov","contributorId":5398,"corporation":false,"usgs":true,"family":"Coan","given":"Michael","email":"mcoan@usgs.gov","affiliations":[],"preferred":true,"id":725217,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70161758,"text":"70161758 - 2014 - Estimating structural collapse fragility of generic building typologies using expert judgment","interactions":[],"lastModifiedDate":"2021-10-13T16:26:50.090642","indexId":"70161758","displayToPublicDate":"2014-01-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Estimating structural collapse fragility of generic building typologies using expert judgment","docAbstract":"The structured expert elicitation process proposed by Cooke (1991), \nhereafter referred to as Cooke’s approach, is applied for the first time \nin the realm of structural collapse-fragility assessment for selected generic \nconstruction types. Cooke’s approach works on the principle of objective \ncalibration scoring of judgments coupled with hypothesis testing used in classical\n statistics. The performance-based scoring system reflects the combined \nmeasure of an expert’s informativeness about variables in the problem area \nunder consideration, and their ability to enumerate, in a statistically accurate \nway through expressing their true beliefs, the quantitative uncertainties \nassociated with their assessments. We summarize the findings of an expert \nelicitation workshop in which a dozen earthquake-engineering professionals\n from around the world were engaged to estimate seismic collapse fragility for\n generic construction types. Development of seismic collapse fragility \nfunctions was accomplished by combining their judgments using weights \nderived from Cooke’s method. Although substantial effort was needed to\n elicit the inputs of these experts successfully, we anticipate that the elicitation\n strategy described here will gain momentum in a wide variety of earthquake \nseismology and engineering hazard and risk analyses where physical model \nand data limitations are inherent and objective professional judgment can fill \ngaps.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Safety, reliability, risk, and life-cycle performance of structures and infrastructures","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"1th International Conference on Structural Safety and Reliability (ICOSSAR2013)","conferenceDate":"June 16-20, 2013","conferenceLocation":"New York, NY","language":"English","publisher":"CRC Press","doi":"10.1201/b16387-130","isbn":"9781138000865","usgsCitation":"Jaiswal, K., Perkins, D., Wald, D., Aspinall, W.P., and Kiremidjian, A.S., 2014, Estimating structural collapse fragility of generic building typologies using expert judgment, <i>in</i> Safety, reliability, risk, and life-cycle performance of structures and infrastructures, New York, NY, June 16-20, 2013, p. 879-886, https://doi.org/10.1201/b16387-130.","productDescription":"8 p.","startPage":"879","endPage":"886","ipdsId":"IP-045829","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":340113,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2014-01-13","publicationStatus":"PW","scienceBaseUri":"58fdbd18e4b0074928294487","contributors":{"editors":[{"text":"Deodatis, George","contributorId":191242,"corporation":false,"usgs":false,"family":"Deodatis","given":"George","email":"","affiliations":[],"preferred":false,"id":692458,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Ellingwood, Bruce R.","contributorId":44446,"corporation":false,"usgs":true,"family":"Ellingwood","given":"Bruce","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":692459,"contributorType":{"id":2,"text":"Editors"},"rank":2},{"text":"Frangopol, Dan M.","contributorId":191243,"corporation":false,"usgs":false,"family":"Frangopol","given":"Dan","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":692460,"contributorType":{"id":2,"text":"Editors"},"rank":3}],"authors":[{"text":"Jaiswal, Kishor S. kjaiswal@usgs.gov","contributorId":145925,"corporation":false,"usgs":true,"family":"Jaiswal","given":"Kishor S.","email":"kjaiswal@usgs.gov","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":false,"id":692461,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wald, D.J. 0000-0002-1454-4514","orcid":"https://orcid.org/0000-0002-1454-4514","contributorId":43809,"corporation":false,"usgs":true,"family":"Wald","given":"D.J.","affiliations":[],"preferred":false,"id":692462,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Perkins, D.","contributorId":83589,"corporation":false,"usgs":true,"family":"Perkins","given":"D.","affiliations":[],"preferred":false,"id":692463,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Aspinall, W. P.","contributorId":82077,"corporation":false,"usgs":true,"family":"Aspinall","given":"W.","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":692464,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kiremidjian, Anne S.","contributorId":60649,"corporation":false,"usgs":true,"family":"Kiremidjian","given":"Anne","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":692465,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70143455,"text":"70143455 - 2014 - An ecological response model for the Cache la Poudre River through Fort Collins","interactions":[],"lastModifiedDate":"2016-07-18T16:19:01","indexId":"70143455","displayToPublicDate":"2014-01-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":2,"text":"State or Local Government Series"},"title":"An ecological response model for the Cache la Poudre River through Fort Collins","docAbstract":"<p>The Poudre River Ecological Response Model (ERM) is a collaborative effort initiated by the City of Fort Collins and a team of nine river scientists to provide the City with a tool to improve its understanding of the past, present, and likely future conditions of the Cache la Poudre River ecosystem. The overall ecosystem condition is described through the measurement of key ecological indicators such as shape and character of the stream channel and banks, streamside plant communities and floodplain wetlands, aquatic vegetation and insects, and fishes, both coolwater trout and warmwater native species. The 13- mile-long study area of the Poudre River flows through Fort Collins, Colorado, and is located in an ecological transition zone between the upstream, cold-water, steep-gradient system in the Front Range of the Southern Rocky Mountains and the downstream, warm-water, low-gradient reach in the Colorado high plains.</p>\n<p>The City wanted to better understand the ecological response of the Poudre River ecosystem to potential changes in stream flow and other physical parameters through the conceptual framework of a multivariable integrated model. This goal was met through the use of a probabilistic model based on Bayesian concepts. This construct allowed the integration of a wide range of data and expert opinion (as informed by local data) to predict potential changes to ecosystem conditions under various flow scenarios. Nine flow scenarios representing past, present, and possible future hydrology were developed as the primary model input. Both reach-scale drivers such as stream channel conditions and pollutant loads, as well as ecological conditions, including species composition, interactions, and habitat requirements influenced model-predicted ecosystem outcomes. Model output consisted of probability distributions for eight ecological indicators collectively representing the physical setting, aquatic life, and riparian habitats of the river ecosystem.</p>\n<p>We are confident in model predictions related to probable trends, relative magnitude of changes and potential ecosystem responses to changing flow conditions, though data availability and the process of converting diverse data types into a common unit (probabilities) limit precision of individual results. Key findings suggest that:</p>\n<ul>\n<li>The present ecological function of the Poudre River is altered as a result of more than 150 years of human influences that include highly managed flows, urbanization, gravel mining, channelization and urban and industrial encroachment in the floodplain, underscoring the vulnerable and complex character of the Poudre River;</li>\n<li>A continuation of today&rsquo;s flow management will lead to ongoing changes in ecosystem condition, and additional water depletions will compromise ecological conditions;</li>\n<li>High flows play an essential role in maintaining and improving the aquatic and riparian condition of the river;</li>\n<li>Adequate flows in base-flow periods are critical to desirable water quality, and thriving fish and insect populations; Improvement of native aquatic life is possible if issues related to channel modifications, siltation, invasive species, and base and high flow conditions are managed properly;</li>\n<li>The present confined river channel and modified flows has reduced the potential for a keystone and iconic species, plains cottonwood, to be self-sustaining in the study area;</li>\n<li>The streamside corridor retains the potential to support a functioning riparian forest that provides important ecological services if periodic floodplain inundation occurs.</li>\n</ul>\n<p>Environmental flows that combine stable and adequate flows in base-flow periods with occasional rejuvenating high flows that meet target levels defined in this study are likely improve all biological indicators across the system. ERM test scenarios that include both stable base flows and rejuvenating high flows indicate that substantial improvements in the river ecosystem can be achieved with improved management of flow volumes similar to those observed in the river during the last half century of intensive water development. These results underscore the possibility of improving the river ecosystem through active management while still maintaining the Poudre&rsquo;s diverse economic benefits and role as a working river.</p>\n<p>The ERM was designed to represent the multi-dimensional ecological character of the contemporary urban Poudre River. It provides a scientific foundation that can serve as a decision support tool and foster a more informed community discussion about the future of the river as it provides a better understanding of the likely response of the Poudre River ecosystem to environmental flow management and other stewardship activities. In particular, model results can assist managers in developing specific management actions to achieve desirable goals for key indicators of river health.</p>","language":"English","publisher":"City of Fort Collins Natural Areas Department","publisherLocation":"Fort Collins, CO","usgsCitation":"Shanahan, J., Baker, D., Bledsoe, B.P., Poff, L., Merritt, D.M., Bestgen, K.R., Auble, G.T., Kondratieff, B.C., Stokes, J., Lorie, M., and Sanderson, J., 2014, An ecological response model for the Cache la Poudre River through Fort Collins, xv, 95 p.","productDescription":"xv, 95 p.","numberOfPages":"112","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-056554","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":325403,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":298735,"type":{"id":15,"text":"Index 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John","contributorId":172963,"corporation":false,"usgs":false,"family":"Stokes","given":"John","email":"","affiliations":[],"preferred":false,"id":642794,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Lorie, Mark","contributorId":172964,"corporation":false,"usgs":false,"family":"Lorie","given":"Mark","email":"","affiliations":[],"preferred":false,"id":642795,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Sanderson, John","contributorId":172965,"corporation":false,"usgs":false,"family":"Sanderson","given":"John","affiliations":[],"preferred":false,"id":642796,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}}
,{"id":70144355,"text":"70144355 - 2014 - North American Commission on Stratigraphic Nomenclature Note 66: records of Stratigraphic Commission, 2003-2013","interactions":[],"lastModifiedDate":"2015-03-27T11:01:15","indexId":"70144355","displayToPublicDate":"2014-01-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3481,"text":"Stratigraphy","active":true,"publicationSubtype":{"id":10}},"title":"North American Commission on Stratigraphic Nomenclature Note 66: records of Stratigraphic Commission, 2003-2013","docAbstract":"<p>Note 66 summarizes activities of the North American Commission on Stratigraphic Nomenclature (NACSN) from November 2003 to October 2013 and is condensed from the minutes of the NACSN&rsquo;s 58th to 68th annual meetings1. The purposes of the Commission are to develop statements of stratigraphic principles,recommend procedures applicable to the classification and nomenclature of stratigraphic and related units, review problems in classifying and naming stratigraphic and related units, and formulate expressions of judgment on these matters.</p>","language":"English","publisher":"Micropaleontology Press","usgsCitation":"Easton, R.M., Catuneanu, O., Donovan, A.D., Fluegeman, R.H., Hamblin, A., Harper, H., Lasca, N.P., Morrow, J.R., Orndorff, R.C., Sadler, P., Scott, R.W., and Tew, B.H., 2014, North American Commission on Stratigraphic Nomenclature Note 66: records of Stratigraphic Commission, 2003-2013: Stratigraphy, v. 11, no. 2, p. 143-157.","productDescription":"15 p.","startPage":"143","endPage":"157","numberOfPages":"15","onlineOnly":"N","additionalOnlineFiles":"N","temporalStart":"2003-01-01","temporalEnd":"2013-12-31","ipdsId":"IP-056320","costCenters":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"links":[{"id":299038,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":299037,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.micropress.org.ezproxy.library.wisc.edu/micropen2/index.php?globalnav=article_detail&issue_id=310&article_id=1888"}],"volume":"11","issue":"2","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"55167f33e4b0323842781b09","contributors":{"authors":[{"text":"Easton, Robert M.","contributorId":139939,"corporation":false,"usgs":false,"family":"Easton","given":"Robert","email":"","middleInitial":"M.","affiliations":[{"id":13320,"text":"Ontario Geological Survey","active":true,"usgs":false}],"preferred":false,"id":543508,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Catuneanu, 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R.","contributorId":65934,"corporation":false,"usgs":true,"family":"Morrow","given":"Jared","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":543515,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Orndorff, Randall C. 0000-0002-8956-5803 rorndorf@usgs.gov","orcid":"https://orcid.org/0000-0002-8956-5803","contributorId":2739,"corporation":false,"usgs":true,"family":"Orndorff","given":"Randall","email":"rorndorf@usgs.gov","middleInitial":"C.","affiliations":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true},{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true},{"id":501,"text":"Office of Science Quality and Integrity","active":true,"usgs":true}],"preferred":true,"id":543507,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Sadler, 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,{"id":70160601,"text":"70160601 - 2014 - Two approaches for incorporating climate change into natural resource management planning at Wind Cave National Park","interactions":[],"lastModifiedDate":"2016-09-07T13:30:59","indexId":"70160601","displayToPublicDate":"2014-01-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":1,"text":"Federal Government Series"},"seriesNumber":"NPS/WICA/NRTR—2014/918","title":"Two approaches for incorporating climate change into natural resource management planning at Wind Cave National Park","docAbstract":"<p>Wind Cave National Park (WICA) protects one of the world’s longest caves, has large amounts of high quality, native vegetation, and hosts a genetically important bison herd. The park’s relatively small size and unique purpose within its landscape requires hands-on management of these and other natural resources, all of which are interconnected. Anthropogenic climate change presents an added challenge to WICA natural resource management because it is characterized by large uncertainties, many of which are beyond the control of park and National Park Service (NPS) staff. When uncertainty is high and control of this uncertainty low, scenario planning is an appropriate tool for determining future actions. In 2009, members of the NPS obtained formal training in the use of scenario planning in order to evaluate it as a tool for incorporating climate change into NPS natural resource management planning. WICA served as one of two case studies used in this training exercise. Although participants in the training exercise agreed that the scenario planning process showed promise for its intended purpose, they were concerned that the process lacked the scientific rigor necessary to defend the management implications derived from it in the face of public scrutiny. This report addresses this concern and others by (1) providing a thorough description of the process of the 2009 scenario planning exercise, as well as its results and management implications for WICA; (2) presenting the results of a follow-up, scientific study that quantitatively simulated responses of WICA’s hydrological and ecological systems to specific climate projections; (3) placing these climate projections and the general climate scenarios used in the scenario planning exercise in the broader context of available climate projections; and (4) comparing the natural resource management implications derived from the two approaches. Wind Cave National Park (WICA) protects one of the world’s longest caves, has large amounts of high quality, native vegetation, and hosts a genetically important bison herd. The park’s relatively small size and unique purpose within its landscape requires hands-on management of these and other natural resources, all of which are interconnected. Anthropogenic climate change presents an added challenge to WICA natural resource management because it is characterized by large uncertainties, many of which are beyond the control of park and National Park Service (NPS) staff. When uncertainty is high and control of this uncertainty low, scenario planning is an appropriate tool for determining future actions. In 2009, members of the NPS obtained formal training in the use of scenario planning in order to evaluate it as a tool for incorporating climate change into NPS natural resource management planning. WICA served as one of two case studies used in this training exercise. Although participants in the training exercise agreed that the scenario planning process showed promise for its intended purpose, they were concerned that the process lacked the scientific rigor necessary to defend the management implications derived from it in the face of public scrutiny. This report addresses this concern and others by (1) providing a thorough description of the process of the 2009 scenario planning exercise, as well as its results and management implications for WICA; (2) presenting the results of a follow-up, scientific study that quantitatively simulated responses of WICA’s hydrological and ecological systems to specific climate projections; (3) placing these climate projections and the general climate scenarios used in the scenario planning exercise in the broader context of available climate projections; and (4) comparing the natural resource management implications derived from the two approaches.</p>","language":"English","publisher":"Natural Park Service","usgsCitation":"Symstad, A.J., Long, A.J., Stamm, J., King, D.A., Bachelet, D.M., and Norton, P.A., 2014, Two approaches for incorporating climate change into natural resource management planning at Wind Cave National Park, xii, 87 p. .","productDescription":"xii, 87 p. 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,{"id":70141751,"text":"70141751 - 2014 - Stratigraphy, structure and regional correlation of eastern Blue Ridge sequences in southern Virginia and northwestern North Carolina: an interim report from new USGS mapping","interactions":[],"lastModifiedDate":"2015-03-06T10:12:29","indexId":"70141751","displayToPublicDate":"2014-01-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1724,"text":"GSA Field Guides","active":true,"publicationSubtype":{"id":10}},"title":"Stratigraphy, structure and regional correlation of eastern Blue Ridge sequences in southern Virginia and northwestern North Carolina: an interim report from new USGS mapping","docAbstract":"<p id=\"p-1\">Examination of key outcrops in the eastern Blue Ridge in southern Virginia and northwestern North Carolina is used to evaluate existing stratigraphic and structural models. Recent detailed mapping along the Blue Ridge Parkway and the eastern flank of the Mount Rogers massif provides the opportunity to (1) evaluate legacy data and interpretations and (2) formulate new ideas for regional correlation of eastern Blue Ridge geology.</p>\n<p id=\"p-2\">Lynchburg Group rocks in central Virginia (metagraywacke, quartzite, graphitic schist, amphibolite, and ultramafic rocks) carry southward along strike where they transition with other units. Wills Ridge Formation consists of graphitic schist, metagraywacke, and metaconglomerate, and marks the western boundary of the eastern Blue Ridge. The Ashe Formation consists of conglomeratic metagraywacke in southern Virginia, and mica gneiss, mica schist, and ultramafic rocks in North Carolina. The overlying Alligator Back Formation shows characteristic compositional pin-striped layers in mica gneiss, schist, and amphibolite.</p>\n<p id=\"p-3\">The contact between eastern Blue Ridge stratified rocks above Mesoproterozoic basement rocks is mostly faulted (Gossan Lead and Red Valley). The Callaway fault juxtaposes Ashe and Lynchburg rocks above Wills Ridge Formation. Alligator Back Formation rocks overlie Ashe and Lynchburg rocks along the Rock Castle Creek fault, which juxtaposes rocks of different metamorphism. The fault separates major structural domains: rocks with one penetrative foliation in the footwall, and pin-striped recrystallized compositional layering, superposed penetrative foliations, and cleavage characterize the hanging wall. These relationships are ambiguous along strike to the southwest, where the Ashe and Alligator Back formations are recrystallized at higher metamorphic grades.</p>","language":"English","publisher":"Geological Society of America","publisherLocation":"Boulder, CO","doi":"10.1130/2014.0035(07)","usgsCitation":"Carter, M.W., and Merschat, A.J., 2014, Stratigraphy, structure and regional correlation of eastern Blue Ridge sequences in southern Virginia and northwestern North Carolina: an interim report from new USGS mapping: GSA Field Guides, v. 35, p. 215-241, https://doi.org/10.1130/2014.0035(07).","productDescription":"27 p.","startPage":"215","endPage":"241","numberOfPages":"27","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-054099","costCenters":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"links":[{"id":298319,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"North Carolina, Virginia","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -81.4581298828125,\n              36.45000844447082\n            ],\n            [\n              -81.4581298828125,\n              37.13842453422676\n            ],\n            [\n              -80.08209228515625,\n              37.13842453422676\n            ],\n            [\n              -80.08209228515625,\n              36.45000844447082\n            ],\n            [\n              -81.4581298828125,\n              36.45000844447082\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"35","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2014-04-01","publicationStatus":"PW","scienceBaseUri":"54faddbce4b02419550db6e2","contributors":{"authors":[{"text":"Carter, Mark W. 0000-0003-0460-7638 mcarter@usgs.gov","orcid":"https://orcid.org/0000-0003-0460-7638","contributorId":4808,"corporation":false,"usgs":true,"family":"Carter","given":"Mark","email":"mcarter@usgs.gov","middleInitial":"W.","affiliations":[{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true},{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"preferred":true,"id":540998,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Merschat, Arthur J. 0000-0002-9314-4067 amerschat@usgs.gov","orcid":"https://orcid.org/0000-0002-9314-4067","contributorId":4556,"corporation":false,"usgs":true,"family":"Merschat","given":"Arthur","email":"amerschat@usgs.gov","middleInitial":"J.","affiliations":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true},{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"preferred":true,"id":540999,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70156788,"text":"70156788 - 2014 - Forest ecosystem reorganization underway in the Southwestern US: A preview of widespread forest changes in the Anthropocene","interactions":[],"lastModifiedDate":"2018-02-20T13:39:35","indexId":"70156788","displayToPublicDate":"2014-01-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":1,"text":"Federal Government Series"},"seriesTitle":{"id":62,"text":"Proceedings","active":false,"publicationSubtype":{"id":1}},"seriesNumber":"RMRS-P-71","title":"Forest ecosystem reorganization underway in the Southwestern US: A preview of widespread forest changes in the Anthropocene","docAbstract":"<p>No abstract available.</p>","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"Forest conservation and management in the Anthropocene: Conference proceedings","largerWorkSubtype":{"id":1,"text":"Federal Government Series"},"language":"English","publisher":"U.S. Department of Agriculture: Rocky Mountain Research Station","usgsCitation":"Allen, C.D., 2014, Forest ecosystem reorganization underway in the Southwestern US: A preview of widespread forest changes in the Anthropocene: Proceedings RMRS-P-71, 20 p.","productDescription":"20 p.","startPage":"103","endPage":"122","ipdsId":"IP-058454","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":351829,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":350429,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.fs.usda.gov/treesearch/pubs/46127"}],"publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5afeee23e4b0da30c1bfc760","contributors":{"editors":[{"text":"Sample, V. Alaric","contributorId":33637,"corporation":false,"usgs":false,"family":"Sample","given":"V.","email":"","middleInitial":"Alaric","affiliations":[{"id":35996,"text":"Pinchot Institute for Conservation, Washington, DC","active":true,"usgs":false}],"preferred":false,"id":725488,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Bixler, R. Patrick","contributorId":98327,"corporation":false,"usgs":false,"family":"Bixler","given":"R.","email":"","middleInitial":"Patrick","affiliations":[{"id":35996,"text":"Pinchot Institute for Conservation, Washington, DC","active":true,"usgs":false}],"preferred":false,"id":725489,"contributorType":{"id":2,"text":"Editors"},"rank":2}],"authors":[{"text":"Allen, Craig D. 0000-0002-8777-5989 craig_allen@usgs.gov","orcid":"https://orcid.org/0000-0002-8777-5989","contributorId":2597,"corporation":false,"usgs":true,"family":"Allen","given":"Craig","email":"craig_allen@usgs.gov","middleInitial":"D.","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true},{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":570547,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70187340,"text":"70187340 - 2014 - Changes in vegetation and biological soil crust communities on sand dunes stabilizing after a century of grazing on San Miguel Island, Channel Island National Park, California","interactions":[],"lastModifiedDate":"2019-12-17T09:22:09","indexId":"70187340","displayToPublicDate":"2014-01-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2785,"text":"Monographs of the Western North American Naturalist","active":true,"publicationSubtype":{"id":10}},"title":"Changes in vegetation and biological soil crust communities on sand dunes stabilizing after a century of grazing on San Miguel Island, Channel Island National Park, California","docAbstract":"<p><span>San Miguel Island is the westernmost of the California Channel Islands and one of the windiest areas on the west coast of North America. The majority of the island is covered by coastal sand dunes, which were stripped of vegetation and subsequently mobilized due to droughts and sheep ranching during the late 19th century and early 20th century. Since the removal of grazing animals, vegetation and biological soil crusts have once again stabilized many of the island's dunes. In this study, historical aerial photographs and field surveys were used to develop a chronosequence of the pattern of change in vegetation communities and biological soil crust levels of development (LOD) along a gradient of dune stabilization. Historical aerial photographs from 1929, 1954, 1977, and 2009 were georeferenced and used to delineate changes in vegetation canopy cover and active (unvegetated) dune extent among 5 historical periods (pre-1929, 1929–1954, 1954–1977, 1977–2009, and 2009–2011). During fieldwork, vegetation and biological soil crust communities were mapped along transects distributed throughout San Miguel Island's central dune field on land forms that had stabilized during the 5 time periods of interest. Analyses in a geographic information system (GIS) quantified the pattern of changes that vegetation and biological soil crust communities have exhibited on the San Miguel Island dunes over the past 80 years. Results revealed that a continuing increase in total vegetation cover and a complex pattern of change in vegetation communities have taken place on the San Miguel Island dunes since the removal of grazing animals. The highly specialized native vascular vegetation (sea rocket, dunedelion, beach-bur, and locoweed) are the pioneer stabilizers of the dunes. This pioneer community is replaced in later stages by communities that are dominated by native shrubs (coastal goldenbush, silver lupine, coyote-brush, and giant coreopsis), with apparently overlapping or cyclical succession pathways. Many of the dunes that have been stabilized the longest (since before 1929) are dominated by exotic grasses. Stands of biological soil crusts (cyanobacteria) are found only on dunes where vascular vegetation is already present. Biological soil crusts are not found on dunes exhibiting a closed vascular plant canopy, which may indicate that the role of soil crusts in dune stabilization on the island is transitory. Particle-size analyses of soil samples from the study area reveal that higher biological soil crust LOD is positively correlated with increasing fine grain content. The findings indicate that changes in vegetation communities may be the most rapid at earlier and later stages of dune stabilization and that regular monitoring of dunes may help to identify the interactions between vegetation and soil crusts, as well as the potential transitions between native and exotic plant communities.</span></p>","language":"English","publisher":"Monte L. Bean Life Science Museum, Brigham Young University","doi":"10.3398/042.007.0118","usgsCitation":"Zellman, K.L., 2014, Changes in vegetation and biological soil crust communities on sand dunes stabilizing after a century of grazing on San Miguel Island, Channel Island National Park, California: Monographs of the Western North American Naturalist, v. 7, no. 1, p. 225-245, https://doi.org/10.3398/042.007.0118.","productDescription":"21 p.","startPage":"225","endPage":"245","ipdsId":"IP-045921","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":473313,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3398/042.007.0118","text":"Publisher Index Page"},{"id":340691,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"San Miguel Island","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -120.46920776367188,\n              34.00599664251842\n            ],\n            [\n              -120.28175354003906,\n              34.00599664251842\n            ],\n            [\n              -120.28175354003906,\n              34.085080620514844\n            ],\n            [\n              -120.46920776367188,\n              34.085080620514844\n            ],\n            [\n              -120.46920776367188,\n              34.00599664251842\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"7","issue":"1","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59084934e4b0fc4e448ffd8e","contributors":{"authors":[{"text":"Zellman, Kristine L. 0000-0002-7088-429X kzellman@usgs.gov","orcid":"https://orcid.org/0000-0002-7088-429X","contributorId":4849,"corporation":false,"usgs":true,"family":"Zellman","given":"Kristine","email":"kzellman@usgs.gov","middleInitial":"L.","affiliations":[],"preferred":true,"id":693541,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70189782,"text":"70189782 - 2014 - CyberShake-derived ground-motion prediction models for the Los Angeles region with application to earthquake early warning","interactions":[],"lastModifiedDate":"2017-07-26T11:02:38","indexId":"70189782","displayToPublicDate":"2014-01-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1803,"text":"Geophysical Journal International","active":true,"publicationSubtype":{"id":10}},"title":"CyberShake-derived ground-motion prediction models for the Los Angeles region with application to earthquake early warning","docAbstract":"<p><span>Real-time applications such as earthquake early warning (EEW) typically use empirical ground-motion prediction equations (GMPEs) along with event magnitude and source-to-site distances to estimate expected shaking levels. In this simplified approach, effects due to finite-fault geometry, directivity and site and basin response are often generalized, which may lead to a significant under- or overestimation of shaking from large earthquakes (</span><i>M</i><span>&nbsp;&gt;&nbsp;6.5) in some locations. For enhanced site-specific ground-motion predictions considering 3-D wave-propagation effects, we develop support vector regression (SVR) models from the SCEC CyberShake low-frequency (&lt;0.5 Hz) and broad-band (0–10 Hz) data sets. CyberShake encompasses 3-D wave-propagation simulations of&nbsp;&gt;415&nbsp;000 finite-fault rupture scenarios (6.5 ≤<span>&nbsp;</span></span><i>M</i><span><span>&nbsp;</span>≤ 8.5) for southern California defined in UCERF 2.0. We use CyberShake to demonstrate the application of synthetic waveform data to EEW as a ‘proof of concept’, being aware that these simulations are not yet fully validated and might not appropriately sample the range of rupture uncertainty. Our regression models predict the maximum and the temporal evolution of instrumental intensity (MMI) at 71 selected test sites using only the hypocentre, magnitude and rupture ratio, which characterizes uni- and bilateral rupture propagation. Our regression approach is completely data-driven (where here the CyberShake simulations are considered data) and does not enforce pre-defined functional forms or dependencies among input parameters. The models were established from a subset (∼20&nbsp;per cent) of CyberShake simulations, but can explain MMI values of all&nbsp;&gt;400 k rupture scenarios with a standard deviation of about 0.4 intensity units. We apply our models to determine threshold magnitudes (and warning times) for various active faults in southern California that earthquakes need to exceed to cause at least ‘moderate’, ‘strong’ or ‘very strong’ shaking in the Los Angeles (LA) basin. These thresholds are used to construct a simple and robust EEW algorithm: to declare a warning, the algorithm only needs to locate the earthquake and to verify that the corresponding magnitude threshold is exceeded. The models predict that a relatively moderate<span>&nbsp;</span></span><i>M</i><span>6.5–7 earthquake along the Palos Verdes, Newport-Inglewood/Rose Canyon, Elsinore or San Jacinto faults with a rupture propagating towards LA could cause ‘very strong’ to ‘severe’ shaking in the LA basin; however, warning times for these events could exceed 30 s.</span></p>","language":"English","publisher":"Oxford Academic","doi":"10.1093/gji/ggu198","usgsCitation":"Bose, M., Graves, R., Gill, D., Callaghan, S., and Maechling, P.J., 2014, CyberShake-derived ground-motion prediction models for the Los Angeles region with application to earthquake early warning: Geophysical Journal International, v. 198, no. 3, p. 1438-1457, https://doi.org/10.1093/gji/ggu198.","productDescription":"20 p.","startPage":"1438","endPage":"1457","ipdsId":"IP-054646","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":473293,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1093/gji/ggu198","text":"External Repository"},{"id":344321,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","city":"Los Angeles","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -119,\n              33\n            ],\n            [\n              -117,\n              33\n            ],\n            [\n              -117,\n              35\n            ],\n            [\n              -119,\n              35\n            ],\n            [\n              -119,\n              33\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"198","issue":"3","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2014-07-03","publicationStatus":"PW","scienceBaseUri":"5979aa58e4b0ec1a488b8c3f","contributors":{"authors":[{"text":"Bose, Maren","contributorId":195135,"corporation":false,"usgs":false,"family":"Bose","given":"Maren","affiliations":[],"preferred":false,"id":706331,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Graves, Robert 0000-0001-9758-453X rwgraves@usgs.gov","orcid":"https://orcid.org/0000-0001-9758-453X","contributorId":140738,"corporation":false,"usgs":true,"family":"Graves","given":"Robert","email":"rwgraves@usgs.gov","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":706330,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gill, David","contributorId":195159,"corporation":false,"usgs":false,"family":"Gill","given":"David","email":"","affiliations":[],"preferred":false,"id":706332,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Callaghan, Scott","contributorId":195136,"corporation":false,"usgs":false,"family":"Callaghan","given":"Scott","email":"","affiliations":[],"preferred":false,"id":706333,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Maechling, Phillip J.","contributorId":117072,"corporation":false,"usgs":false,"family":"Maechling","given":"Phillip","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":706334,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70184997,"text":"70184997 - 2014 - New imaging of submarine landslides from the 1964 earthquake near Whittier, Alaska, and a comparison to failures in other Alaskan fjords","interactions":[],"lastModifiedDate":"2017-06-07T16:47:26","indexId":"70184997","displayToPublicDate":"2014-01-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"New imaging of submarine landslides from the 1964 earthquake near Whittier, Alaska, and a comparison to failures in other Alaskan fjords","docAbstract":"<p><span>The 1964 Alaska M</span><sub> <i class=\"EmphasisTypeItalic \">w</i> </sub><span>9.2 earthquake triggered numerous submarine slope failures in fjords of southern Alaska. These failures generated local tsunamis, such as at Whittier, where they inundated the town within 4 min of the beginning of shaking. Run-up was up to 32 m, with 13 casualties. We collected new multibeam bathymetry and high-resolution sparker seismic data in Passage Canal, and we examined bathymetry changes before and after the earthquake. The data reveal the debris flow deposit from the 1964 landslides, which covers the western 5 km of the fjord bottom. Individual blocks in the flow are up to 145-m wide and 25-m tall. Bathymetry changes show the mass transfer deposits originated from the fjord head and Whittier Creek deltas and had a volume of about 42 million m</span><sup>3</sup><span>. The 1964 deposit has an average thickness of ∼5.4 m. Beyond the debris flow, the failures likely deposited a ∼4.6-m thick megaturbidite in a distal basin. We have studied the 1964 submarine landslides in three fjords. All involved failure of the fjord-head delta. All failures eroded basin-floor sediments and incorporated them as they travelled. All the failures deposited blocks, but their size and travel distances varied greatly. We find a correlation between maximum block size and maximum tsunami run-up regardless of the volume of the slides. Lastly, the fjord’s margins were influenced by increased supply of glacial sediments during the little ice age, which along with a long interseismic interval (∼900 years) may have caused the 1964 earthquake to produce particularly numerous and large submarine landslides.</span></p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Submarine mass movements and their consequences, Advances in Natural and Technological Hazards Research Vol. 37 ","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Springer","doi":"10.1007/978-3-319-00972-8_32","usgsCitation":"Haeussler, P.J., Parsons, T.E., Finlayson, D.P., Hart, P.J., Chaytor, J., Ryan, H.F., Lee, H., Labay, K., Peterson, A., and Liberty, L., 2014, New imaging of submarine landslides from the 1964 earthquake near Whittier, Alaska, and a comparison to failures in other Alaskan fjords, chap. <i>of</i> Submarine mass movements and their consequences, Advances in Natural and Technological Hazards Research Vol. 37 , v. 37, p. 361-370, https://doi.org/10.1007/978-3-319-00972-8_32.","productDescription":"10 p.","startPage":"361","endPage":"370","ipdsId":"IP-052752","costCenters":[{"id":119,"text":"Alaska Science Center Geology Minerals","active":true,"usgs":true}],"links":[{"id":438776,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9L0Q0AK","text":"USGS data release","linkHelpText":"Combined High-Resolution Topography and Bathymetry for Western Passage Canal, Near Whittier, Alaska"},{"id":438775,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9458THH","text":"USGS data release","linkHelpText":"Gridded Data from a 2011 Multibeam Bathymetric Survey of the Western Part of Passage Canal, Near Whittier, Alaska"},{"id":337535,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","city":"Whittier","volume":"37","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2013-08-19","publicationStatus":"PW","scienceBaseUri":"58c90128e4b0849ce97abcf7","contributors":{"authors":[{"text":"Haeussler, Peter J. 0000-0002-1503-6247 pheuslr@usgs.gov","orcid":"https://orcid.org/0000-0002-1503-6247","contributorId":503,"corporation":false,"usgs":true,"family":"Haeussler","given":"Peter","email":"pheuslr@usgs.gov","middleInitial":"J.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":119,"text":"Alaska Science Center Geology Minerals","active":true,"usgs":true}],"preferred":true,"id":683875,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Parsons, Thomas E. 0000-0002-0582-4338 tparsons@usgs.gov","orcid":"https://orcid.org/0000-0002-0582-4338","contributorId":2314,"corporation":false,"usgs":true,"family":"Parsons","given":"Thomas","email":"tparsons@usgs.gov","middleInitial":"E.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":683876,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Finlayson, David P. dfinlayson@usgs.gov","contributorId":1381,"corporation":false,"usgs":true,"family":"Finlayson","given":"David","email":"dfinlayson@usgs.gov","middleInitial":"P.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":683877,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hart, Patrick J.","contributorId":147728,"corporation":false,"usgs":false,"family":"Hart","given":"Patrick","email":"","middleInitial":"J.","affiliations":[{"id":6977,"text":"University of Hawai`i at Hilo","active":true,"usgs":false}],"preferred":false,"id":683878,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Chaytor, Jason D. jchaytor@usgs.gov","contributorId":4961,"corporation":false,"usgs":true,"family":"Chaytor","given":"Jason D.","email":"jchaytor@usgs.gov","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true},{"id":6706,"text":"Woods Hole Oceanographic Institution,","active":true,"usgs":false}],"preferred":false,"id":683879,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Ryan, Holly F. hryan@usgs.gov","contributorId":187559,"corporation":false,"usgs":false,"family":"Ryan","given":"Holly","email":"hryan@usgs.gov","middleInitial":"F.","affiliations":[],"preferred":false,"id":683880,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Lee, Homa J. hjlee@usgs.gov","contributorId":1021,"corporation":false,"usgs":true,"family":"Lee","given":"Homa J.","email":"hjlee@usgs.gov","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":684304,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Labay, Keith A. 0000-0002-6763-3190 klabay@usgs.gov","orcid":"https://orcid.org/0000-0002-6763-3190","contributorId":2097,"corporation":false,"usgs":true,"family":"Labay","given":"Keith A.","email":"klabay@usgs.gov","affiliations":[{"id":119,"text":"Alaska Science Center Geology Minerals","active":true,"usgs":true}],"preferred":false,"id":683881,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Peterson, Andrew","contributorId":189112,"corporation":false,"usgs":false,"family":"Peterson","given":"Andrew","email":"","affiliations":[],"preferred":false,"id":683882,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Liberty, Lee","contributorId":189113,"corporation":false,"usgs":false,"family":"Liberty","given":"Lee","affiliations":[],"preferred":false,"id":683883,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}}
,{"id":70187410,"text":"70187410 - 2014 - Applying threshold concepts to conservation management of dryland ecosystems: Case studies on the Colorado Plateau","interactions":[],"lastModifiedDate":"2017-05-02T10:37:46","indexId":"70187410","displayToPublicDate":"2014-01-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Applying threshold concepts to conservation management of dryland ecosystems: Case studies on the Colorado Plateau","docAbstract":"<p><span>Ecosystems may occupy functionally distinct alternative states, some of which are more or less desirable from a management standpoint. Transitions from state to state are usually associated with a particular trigger or sequence of triggers, such as the addition or subtraction of a disturbance. Transitions are often not linear, rather it is common to see an abrupt transition come about even though the trigger increases only incrementally; these are examples of threshold behaviors. An ideal monitoring program, such as the National Park Service’s Inventory and Monitoring Program, would quantify triggers, and be able to inform managers when measurements of a trigger are approaching a threshold so that management action can avoid an unwanted state transition. Unfortunately, both triggers and the threshold points at which state transitions occur are generally only partially known. Using case studies, we advance a general procedure to help identify triggers and estimate where threshold dynamics may occur. Our procedure is as follows: (1) Operationally define the ecosystem type being considered; we suggest that the ecological site concept of the Natural Resource Conservation Service is a useful system, (2) Using all available a priori knowledge to develop a state-and-transition model (STM), which defines possible ecosystem states, plausible transitions among them and likely triggers, (3) Validate the STM by verifying the existence of its states to the greatest degree possible, (4) Use the STM model to identify transitions and triggers likely to be detectable by a monitoring program, and estimate to the greatest degree possible the value of a measurable indicator of a trigger at the point that a state transition is imminent (tipping point), and values that may indicate when management intervention should be considered (assessment points). We illustrate two different methods for attaining these goals using a data-rich case study in Canyonlands National Park, and a data-poor case study in Wupatki National Monument. In the data-rich case, STMs are validated and revised, and tipping and assessment points are estimated using statistical analysis of data. In the data-poor case, we develop an iterative expert opinion survey approach to validate the degree of confidence in an STM, revise the model, identify lack of confidence in specific model components, and create reasonable first approximations of tipping and assessment points, which can later be refined when more data are available. Our goal should be to develop the best set of models possible given the level of information available to support decisions, which is often not much. The approach presented here offers a flexible means of achieving this goal, and determining specific research areas in need of study.</span></p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Application of threshold concepts in natural resource decision making","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Springer","doi":"10.1007/978-1-4899-8041-0_7","isbn":"978-1-4899-8040-3","usgsCitation":"Bowker, M.A., Miller, M.E., Garman, S.L., and Belote, T., 2014, Applying threshold concepts to conservation management of dryland ecosystems: Case studies on the Colorado Plateau, chap. <i>of</i> Application of threshold concepts in natural resource decision making, p. 101-130, https://doi.org/10.1007/978-1-4899-8041-0_7.","productDescription":"30 p.","startPage":"101","endPage":"130","ipdsId":"IP-022672","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":340726,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationDate":"2014-02-08","publicationStatus":"PW","scienceBaseUri":"59099ab1e4b0fc4e44915812","contributors":{"editors":[{"text":"Guntenspergen, Glenn R. 0000-0002-8593-0244 glenn_guntenspergen@usgs.gov","orcid":"https://orcid.org/0000-0002-8593-0244","contributorId":2885,"corporation":false,"usgs":true,"family":"Guntenspergen","given":"Glenn","email":"glenn_guntenspergen@usgs.gov","middleInitial":"R.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":693915,"contributorType":{"id":2,"text":"Editors"},"rank":1}],"authors":[{"text":"Bowker, Matthew A. mbowker@usgs.gov","contributorId":2875,"corporation":false,"usgs":true,"family":"Bowker","given":"Matthew","email":"mbowker@usgs.gov","middleInitial":"A.","affiliations":[],"preferred":true,"id":693911,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Miller, Mark E.","contributorId":91580,"corporation":false,"usgs":false,"family":"Miller","given":"Mark","email":"","middleInitial":"E.","affiliations":[{"id":6959,"text":"National Park Service Southeast Utah Group","active":true,"usgs":false}],"preferred":false,"id":693912,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Garman, Steven L. 0000-0002-9032-9074 slgarman@usgs.gov","orcid":"https://orcid.org/0000-0002-9032-9074","contributorId":3741,"corporation":false,"usgs":true,"family":"Garman","given":"Steven","email":"slgarman@usgs.gov","middleInitial":"L.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":693913,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Belote, Travis","contributorId":191702,"corporation":false,"usgs":false,"family":"Belote","given":"Travis","email":"","affiliations":[],"preferred":false,"id":693914,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70136256,"text":"70136256 - 2014 - Evaluation of potential protective factors against metabolic syndrome in bottlenose dolphins:feeding and activity patterns of dolphins in Sarasota Bay, Florida","interactions":[],"lastModifiedDate":"2015-03-18T11:08:11","indexId":"70136256","displayToPublicDate":"2014-01-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3848,"text":"Frontiers in Endocrinology","onlineIssn":"1664-2392","active":true,"publicationSubtype":{"id":10}},"title":"Evaluation of potential protective factors against metabolic syndrome in bottlenose dolphins:feeding and activity patterns of dolphins in Sarasota Bay, Florida","docAbstract":"<p>Free-ranging bottlenose dolphins (Tursiops truncatus) living in Sarasota Bay, Florida appear to have a lower risk of developing insulin resistance and metabolic syndrome compared to a group of dolphins managed under human care. Similar to humans, differences in diet and activity cycles between these groups may explain why Sarasota dolphins have lower insulin, glucose, and lipids. To identify potential protective factors against metabolic syndrome, existing and new data were incorporated to describe feeding and activity patterns of the Sarasota Bay wild dolphin community. Sarasota dolphins eat a wide variety of live fish and spend 10&acirc;&euro;&ldquo;20% of daylight hours foraging and feeding. Feeding occurs throughout the day, with the dolphins eating small proportions of their total daily intake in brief bouts. The natural pattern of wild dolphins is to feed as necessary and possible at any time of the day or night. Wild dolphins rarely eat dead fish or consume large amounts of prey in concentrated time periods. Wild dolphins are active throughout the day and night; they may engage in bouts of each key activity category at any time during daytime. Dive patterns of radio-tagged dolphins varied only slightly with time of day. Travel rates may be slightly lower at night, suggesting a diurnal rhythm, albeit not one involving complete, extended rest. In comparison, the managed dolphins are older; often fed a smaller variety of frozen-thawed fish types; fed fish species not in their natural diet; feedings and engaged activities are often during the day; and they are fed larger but fewer meals. In summary, potential protective factors against metabolic syndrome in dolphins may include young age, activity, and small meals fed throughout the day and night, and specific fish nutrients. These protective factors against insulin resistance and type 2 diabetes are similar to those reported in humans. Further studies may benefit humans and dolphins.</p>","language":"English","publisher":"Frontiers in Endocrinology","doi":"10.3389/fendo.2013.00139","usgsCitation":"Wells, R.S., McHugh, K.A., Douglas, D.C., Shippee, S., McCabe, E.B., Barros, N., and Phillips, G.T., 2014, Evaluation of potential protective factors against metabolic syndrome in bottlenose dolphins:feeding and activity patterns of dolphins in Sarasota Bay, Florida: Frontiers in Endocrinology, v. 4, no. 139, p. 1-16, https://doi.org/10.3389/fendo.2013.00139.","productDescription":"16 p.","startPage":"1","endPage":"16","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-050350","costCenters":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"links":[{"id":473283,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3389/fendo.2013.00139","text":"Publisher Index Page"},{"id":298700,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Florida","otherGeospatial":"Sarasota Bay","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -82.60414123535156,\n              27.276602318536348\n            ],\n            [\n              -82.60414123535156,\n              27.346153994505922\n            ],\n            [\n              -82.52792358398436,\n              27.346153994505922\n            ],\n            [\n              -82.52792358398436,\n              27.276602318536348\n            ],\n            [\n              -82.60414123535156,\n              27.276602318536348\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"4","issue":"139","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"550aa1b6e4b02e76d7590be5","contributors":{"authors":[{"text":"Wells, Randall S.","contributorId":81773,"corporation":false,"usgs":true,"family":"Wells","given":"Randall","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":542642,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McHugh, Katherine A.","contributorId":139709,"corporation":false,"usgs":false,"family":"McHugh","given":"Katherine","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":542643,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Douglas, David C. 0000-0003-0186-1104 ddouglas@usgs.gov","orcid":"https://orcid.org/0000-0003-0186-1104","contributorId":2388,"corporation":false,"usgs":true,"family":"Douglas","given":"David","email":"ddouglas@usgs.gov","middleInitial":"C.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":537263,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Shippee, Steve","contributorId":139710,"corporation":false,"usgs":false,"family":"Shippee","given":"Steve","email":"","affiliations":[],"preferred":false,"id":542644,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"McCabe, Elizabeth Berens","contributorId":139131,"corporation":false,"usgs":false,"family":"McCabe","given":"Elizabeth","email":"","middleInitial":"Berens","affiliations":[{"id":12658,"text":"Chicago Zoological Society","active":true,"usgs":false}],"preferred":false,"id":542645,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Barros, Nélio B.","contributorId":89053,"corporation":false,"usgs":true,"family":"Barros","given":"Nélio B.","affiliations":[],"preferred":false,"id":542646,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Phillips, Goldie T.","contributorId":139711,"corporation":false,"usgs":false,"family":"Phillips","given":"Goldie","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":542647,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70186518,"text":"70186518 - 2014 - USGS48 Puerto Rico precipitation - A new isotopic reference material for δ<sup>2</sup>H and δ<sup>18</sup>O measurements of water","interactions":[],"lastModifiedDate":"2017-04-05T08:52:41","indexId":"70186518","displayToPublicDate":"2014-01-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2114,"text":"Isotopes in Environmental and Health Studies","active":true,"publicationSubtype":{"id":10}},"title":"USGS48 Puerto Rico precipitation - A new isotopic reference material for δ<sup>2</sup>H and δ<sup>18</sup>O measurements of water","docAbstract":"<p><span>A new secondary isotopic reference material has been prepared from Puerto Rico precipitation, which was filtered, homogenised, loaded into glass ampoules, sealed with a torch, autoclaved to eliminate biological activity, and calibrated by dual-inlet isotope-ratio mass spectrometry. This isotopic reference material, designated as USGS48, is intended to be one of two isotopic reference waters for daily normalisation of stable hydrogen (δ</span><sup>2</sup><span>H) and stable oxygen (δ</span><sup>18</sup><span>O) isotopic analysis of water with a mass spectrometer or a laser absorption spectrometer. The δ</span><sup>2</sup><span>H and δ</span><sup>18</sup><span>O values of this reference water are−2.0±0.4 and−2.224±0.012 ‰, respectively, relative to Vienna Standard Mean Ocean Water on scales normalised such that the δ</span><sup>2</sup><span>H and δ</span><sup>18</sup><span>O values of Standard Light Antarctic Precipitation reference water are−428 and−55.5 ‰, respectively. Each uncertainty is an estimated expanded uncertainty (</span><i>U</i><span>=2</span><i>u</i><sub>c</sub><span>) about the reference value that provides an interval that has about a 95&nbsp;% probability of encompassing the true value. This isotopic reference water is available by the case of 144 glass ampoules containing 5&nbsp;mL of water in each ampoule.</span></p>","language":"English","publisher":"Taylor & Francis","doi":"10.1080/10256016.2014.905555","usgsCitation":"Qi, H., Coplen, T.B., Tarbox, L.V., Lorenz, J.M., and Scholl, M.A., 2014, USGS48 Puerto Rico precipitation - A new isotopic reference material for δ<sup>2</sup>H and δ<sup>18</sup>O measurements of water: Isotopes in Environmental and Health Studies, v. 50, no. 4, p. 442-447, https://doi.org/10.1080/10256016.2014.905555.","productDescription":"6 p.","startPage":"442","endPage":"447","ipdsId":"IP-052742","costCenters":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"links":[{"id":339182,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Puerto Rico","volume":"50","issue":"4","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2014-04-16","publicationStatus":"PW","scienceBaseUri":"58e60273e4b09da6799ac68d","contributors":{"authors":[{"text":"Qi, Haiping 0000-0002-8339-744X haipingq@usgs.gov","orcid":"https://orcid.org/0000-0002-8339-744X","contributorId":507,"corporation":false,"usgs":true,"family":"Qi","given":"Haiping","email":"haipingq@usgs.gov","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":688558,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Coplen, Tyler B. 0000-0003-4884-6008 tbcoplen@usgs.gov","orcid":"https://orcid.org/0000-0003-4884-6008","contributorId":508,"corporation":false,"usgs":true,"family":"Coplen","given":"Tyler","email":"tbcoplen@usgs.gov","middleInitial":"B.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true},{"id":37464,"text":"WMA - Laboratory & Analytical Services Division","active":true,"usgs":true},{"id":27111,"text":"National Water Quality Program","active":true,"usgs":true}],"preferred":true,"id":688559,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Tarbox, Lauren V. 0000-0002-4126-1851 ltarbox@usgs.gov","orcid":"https://orcid.org/0000-0002-4126-1851","contributorId":5319,"corporation":false,"usgs":true,"family":"Tarbox","given":"Lauren","email":"ltarbox@usgs.gov","middleInitial":"V.","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":688560,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lorenz, Jennifer M. 0000-0002-5826-7264 jlorenz@usgs.gov","orcid":"https://orcid.org/0000-0002-5826-7264","contributorId":3558,"corporation":false,"usgs":true,"family":"Lorenz","given":"Jennifer","email":"jlorenz@usgs.gov","middleInitial":"M.","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":688561,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Scholl, Martha A. 0000-0001-6994-4614 mascholl@usgs.gov","orcid":"https://orcid.org/0000-0001-6994-4614","contributorId":1920,"corporation":false,"usgs":true,"family":"Scholl","given":"Martha","email":"mascholl@usgs.gov","middleInitial":"A.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":688562,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70195180,"text":"70195180 - 2014 - Forest ecosystem re-organization underway in the southwestern US: A preview of widespread forest changes in the anthropocene?","interactions":[],"lastModifiedDate":"2018-02-13T14:09:09","indexId":"70195180","displayToPublicDate":"2014-01-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Forest ecosystem re-organization underway in the southwestern US: A preview of widespread forest changes in the anthropocene?","docAbstract":"<p>No abstract available.</p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Forest conservation and management in the Anthropocene: Adaptation of science, policy, and practices","largerWorkSubtype":{"id":12,"text":"Conference publication"},"language":"English","publisher":"U.S. Forest Service","usgsCitation":"Allen, C.D., 2014, Forest ecosystem re-organization underway in the southwestern US: A preview of widespread forest changes in the anthropocene?, chap. <i>of</i> Forest conservation and management in the Anthropocene: Adaptation of science, policy, and practices, p. 103-122.","productDescription":"20 p.","startPage":"103","endPage":"122","ipdsId":"IP-094146","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":351544,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":351543,"rank":1,"type":{"id":11,"text":"Document"},"url":"https://www.fs.fed.us/rm/pubs/rmrs_p071.pdf"}],"publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5afeee10e4b0da30c1bfc74d","contributors":{"authors":[{"text":"Allen, Craig D. 0000-0002-8777-5989 craig_allen@usgs.gov","orcid":"https://orcid.org/0000-0002-8777-5989","contributorId":2597,"corporation":false,"usgs":true,"family":"Allen","given":"Craig","email":"craig_allen@usgs.gov","middleInitial":"D.","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true},{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":727315,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70129332,"text":"ofr20131125 - 2014 - Bathymetric Terrain Model of the Puerto Rico Trench and the Northeastern Caribbean Region for Marine Geological Investigations","interactions":[],"lastModifiedDate":"2017-11-21T11:33:36","indexId":"ofr20131125","displayToPublicDate":"2014-01-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2013-1125","title":"Bathymetric Terrain Model of the Puerto Rico Trench and the Northeastern Caribbean Region for Marine Geological Investigations","docAbstract":"Multibeam bathymetry data collected in the Puerto Rico Trench and Northeast Caribbean region are compiled into a seamless bathymetric terrain model for broad-scale geological investigations of the trench system. These data, collected during eight separate surveys between 2002 and 2013, covering almost 180,000 square kilometers are published here in large format map sheet and digital spatial data. This report describes the common multibeam data collection, and processing methods used to produce the bathymetric terrain model and corresponding data source polygon. Details documenting the complete provenance of the data are also provided in the metadata in the Data Catalog section.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston VA","doi":"10.3133/ofr20131125","usgsCitation":"Andrews, B., ten Brink, U., Danforth, W.W., Chaytor, J.D., Granja-Bruna, J., and Carbo-Gorosabel, A., 2014, Bathymetric Terrain Model of the Puerto Rico Trench and the Northeastern Caribbean Region for Marine Geological Investigations: U.S. Geological Survey Open-File Report 2013-1125, online only, https://doi.org/10.3133/ofr20131125.","productDescription":"online only","startPage":"1-10","ipdsId":"IP-046051","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":349188,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":296255,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2013/1125/"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57f7f032e4b0bc0bec09f5fc","contributors":{"authors":[{"text":"Andrews, Brian D. bandrews@usgs.gov","contributorId":2132,"corporation":false,"usgs":true,"family":"Andrews","given":"Brian D.","email":"bandrews@usgs.gov","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":525691,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"ten Brink, Uri S. 0000-0001-6858-3001 utenbrink@usgs.gov","orcid":"https://orcid.org/0000-0001-6858-3001","contributorId":127560,"corporation":false,"usgs":true,"family":"ten Brink","given":"Uri S.","email":"utenbrink@usgs.gov","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true},{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true}],"preferred":false,"id":525693,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Danforth, William W. 0000-0002-6382-9487 bdanforth@usgs.gov","orcid":"https://orcid.org/0000-0002-6382-9487","contributorId":3292,"corporation":false,"usgs":true,"family":"Danforth","given":"William","email":"bdanforth@usgs.gov","middleInitial":"W.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":525692,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Chaytor, Jason D. jchaytor@usgs.gov","contributorId":127559,"corporation":false,"usgs":true,"family":"Chaytor","given":"Jason","email":"jchaytor@usgs.gov","middleInitial":"D.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":525694,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Granja-Bruna, J","contributorId":127563,"corporation":false,"usgs":false,"family":"Granja-Bruna","given":"J","affiliations":[{"id":7051,"text":"Technophysics Group, Universidad Complutense, Madrid, Spain","active":true,"usgs":false}],"preferred":false,"id":525695,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Carbo-Gorosabel, A","contributorId":118472,"corporation":false,"usgs":true,"family":"Carbo-Gorosabel","given":"A","affiliations":[],"preferred":false,"id":525696,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
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