{"pageNumber":"1181","pageRowStart":"29500","pageSize":"25","recordCount":165309,"records":[{"id":70155174,"text":"70155174 - 2015 - Food web heterogeneity and succession in created saltmarshes","interactions":[],"lastModifiedDate":"2016-07-17T23:26:10","indexId":"70155174","displayToPublicDate":"2015-06-23T12:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2163,"text":"Journal of Applied Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Food web heterogeneity and succession in created saltmarshes","docAbstract":"<p>1. Ecological restoration must achieve functional as well as structural recovery. Functional metrics for reestablishment of trophic interactions can be used to complement traditional monitoring of structural attributes. In addition, topographic effects on food web structure provide added information within a restoration context; often, created sites may require spatial heterogeneity to effectively match structure and function of natural habitats. 2. We addressed both of these issues in our study of successional development of benthic food web structure, with focus on bottom&ndash;up driven changes in macroinvertebrate consumer assemblages in the salt marshes of the Venice Lagoon, Italy. We combined quantified estimates of the changing community composition with stable isotope data (13C:12C and 15N:14N) to compare the general trophic structure between created (2&ndash;14 years) marshes and reference sites and along topographic elevation gradients within salt marshes. 3. Macrofaunal invertebrate consumers exhibited local, habitat-specific trophic patterns. Stable isotope-based trophic structure changed with increasing marsh age, in particular with regards to mid-elevation (Salicornia) habitats. In young marshes, the mid-elevation consumer signatures resembled those of unvegetated ponds. The mid elevation of older and natural marshes had a more distinct Salicornia-zone food web, occasionally resembling that of the highest (Sarcocornia-dominated) elevation. In summary, this indicates that primary producers and availability of vascular plant detritus structure consumer trophic interactions and the flow of carbon. 4. Functionally different consumers, subsurface-feeding detritivores (Oligochaeta) and surface grazers (Hydrobia sp.), showed distinct but converging trajectories of isotopic change over time, indicating that successional development may be asymmetric between &lsquo;brown&rsquo; (detrital) guilds and &lsquo;green&rsquo; (grazing) guilds in the food web. 5. Synthesis and applications. Created marsh food webs converged into a natural state over about a decade, with successional shifts seen in both consumer community composition and stable isotope space. Strong spatial effects were noted, highlighting the utility of stable isotopes to evaluate functional equivalence in spatially heterogeneous systems. Understanding the recovery of functional properties such as food web support, and their inherent spatial variability, is key to planning and managing successful habitat restoration.</p>","language":"English","publisher":"British Ecological Society","publisherLocation":"Oxford","doi":"10.1111/1365-2664.12473","usgsCitation":"Nordstrom, M.C., Demopoulos, A.W., Whitcraft, C., Rismondo, A., McMillan, P., Gonzales, J.P., and Levin, L.A., 2015, Food web heterogeneity and succession in created saltmarshes: Journal of Applied Ecology, v. 52, no. 5, p. 1343-1354, https://doi.org/10.1111/1365-2664.12473.","productDescription":"12 p.","startPage":"1343","endPage":"1354","numberOfPages":"12","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-056682","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":471999,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/1365-2664.12473","text":"Publisher Index Page"},{"id":306289,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Italy","otherGeospatial":"Adriatic Sea, Venice Lagoon","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              11.8267822265625,\n              44.94730538740607\n            ],\n            [\n              11.8267822265625,\n              45.696588248373764\n            ],\n            [\n              13.02154541015625,\n              45.696588248373764\n            ],\n            [\n              13.02154541015625,\n              44.94730538740607\n            ],\n            [\n              11.8267822265625,\n              44.94730538740607\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"52","issue":"5","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationDate":"2015-06-23","publicationStatus":"PW","scienceBaseUri":"55bc9c2be4b033ef52100f24","contributors":{"authors":[{"text":"Nordstrom, M C","contributorId":145682,"corporation":false,"usgs":false,"family":"Nordstrom","given":"M","email":"","middleInitial":"C","affiliations":[{"id":16196,"text":"Scripps Institution of Oceanography, La Jolla, CA","active":true,"usgs":false}],"preferred":false,"id":564972,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Demopoulos, Amanda W.J. 0000-0003-2096-4694 ademopoulos@usgs.gov","orcid":"https://orcid.org/0000-0003-2096-4694","contributorId":145681,"corporation":false,"usgs":true,"family":"Demopoulos","given":"Amanda","email":"ademopoulos@usgs.gov","middleInitial":"W.J.","affiliations":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true},{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":564971,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Whitcraft, CR","contributorId":145683,"corporation":false,"usgs":false,"family":"Whitcraft","given":"CR","email":"","affiliations":[{"id":16197,"text":"California State University, Long Beach, CA","active":true,"usgs":false}],"preferred":false,"id":564973,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Rismondo, A.","contributorId":145684,"corporation":false,"usgs":false,"family":"Rismondo","given":"A.","email":"","affiliations":[{"id":16198,"text":"SELC, Venice, Italy","active":true,"usgs":false}],"preferred":false,"id":564974,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"McMillan, P.","contributorId":145685,"corporation":false,"usgs":false,"family":"McMillan","given":"P.","email":"","affiliations":[{"id":16196,"text":"Scripps Institution of Oceanography, La Jolla, CA","active":true,"usgs":false}],"preferred":false,"id":564975,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Gonzales, J P","contributorId":145686,"corporation":false,"usgs":false,"family":"Gonzales","given":"J","email":"","middleInitial":"P","affiliations":[{"id":16196,"text":"Scripps Institution of Oceanography, La Jolla, CA","active":true,"usgs":false}],"preferred":false,"id":564976,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Levin, L A","contributorId":145687,"corporation":false,"usgs":false,"family":"Levin","given":"L","email":"","middleInitial":"A","affiliations":[{"id":16196,"text":"Scripps Institution of Oceanography, La Jolla, CA","active":true,"usgs":false}],"preferred":false,"id":564977,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70159662,"text":"70159662 - 2015 - Methane oxidation and molecular characterization of methanotrophs from a former mercury mine impoundment","interactions":[],"lastModifiedDate":"2016-06-17T10:53:37","indexId":"70159662","displayToPublicDate":"2015-06-23T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5020,"text":"Microorganisms","active":true,"publicationSubtype":{"id":10}},"title":"Methane oxidation and molecular characterization of methanotrophs from a former mercury mine impoundment","docAbstract":"<p><span>The Herman Pit, once a mercury mine, is an impoundment located in an active geothermal area. Its acidic waters are permeated by hundreds of gas seeps. One seep was sampled and found to be composed of mostly CO</span><sub><span>2</span></sub><span>&nbsp;with some CH</span><sub><span>4</span></sub><span>&nbsp;present. The &delta;</span><sup><span>13</span></sup><span>CH</span><sub><span>4</span></sub><span>&nbsp;value suggested a complex origin for the methane:&nbsp;</span><i>i.e.</i><span>, a thermogenic component plus a biological methanogenic portion. The relatively&nbsp;</span><sup><span>12</span></sup><span>C-enriched CO</span><sub><span>2</span></sub><span>&nbsp;suggested a reworking of the ebullitive methane by methanotrophic bacteria. Therefore, we tested bottom sediments for their ability to consume methane by conducting aerobic incubations of slurried materials. Methane was removed from the headspace of live slurries, and subsequent additions of methane resulted in faster removal rates. This activity could be transferred to an artificial, acidic medium, indicating the presence of acidophilic or acid-tolerant methanotrophs, the latter reinforced by the observation of maximum activity at pH = 4.5 with incubated slurries. A successful extraction of sterol and hopanoid lipids characteristic of methanotrophs was achieved, and their abundances greatly increased with increased sediment methane consumption. DNA extracted from methane-oxidizing enrichment cultures was amplified and sequenced for&nbsp;</span><i>pmoA</i><span>&nbsp;genes that aligned with methanotrophic members of the&nbsp;</span><i>Gammaproteobacteria</i><span>. An enrichment culture was established that grew in an acidic (pH 4.5) medium via methane oxidation.</span></p>","language":"English","publisher":"MDPI AG","publisherLocation":"Basel, Switzerland","doi":"10.3390/microorganisms3020290","usgsCitation":"Baesman, S., Miller, L., Wei, J.H., Cho, Y., Matys, E.D., Summons, R.E., Welander, P.V., and Oremland, R.S., 2015, Methane oxidation and molecular characterization of methanotrophs from a former mercury mine impoundment: Microorganisms, v. 3, no. 2, p. 290-309, https://doi.org/10.3390/microorganisms3020290.","productDescription":"20 p.","startPage":"290","endPage":"309","numberOfPages":"20","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-065275","costCenters":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"links":[{"id":472000,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/microorganisms3020290","text":"Publisher Index Page"},{"id":323872,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Herman Mine","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -122.69239425659178,\n              39.01958379846303\n            ],\n            [\n              -122.6912784576416,\n              38.99717425427704\n            ],\n            [\n              -122.6353168487549,\n              38.9943058537613\n            ],\n            [\n              -122.63608932495117,\n              39.01991722020987\n            ],\n            [\n              -122.63583183288573,\n              39.025118395874074\n            ],\n            [\n              -122.69265174865723,\n              39.02385147807989\n            ],\n            [\n              -122.69239425659178,\n              39.01958379846303\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"3","issue":"2","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2015-06-23","publicationStatus":"PW","scienceBaseUri":"57651f37e4b07657d19c78d3","contributors":{"authors":[{"text":"Baesman, Shaun 0000-0003-0741-8269 sbaesman@usgs.gov","orcid":"https://orcid.org/0000-0003-0741-8269","contributorId":3478,"corporation":false,"usgs":true,"family":"Baesman","given":"Shaun","email":"sbaesman@usgs.gov","affiliations":[{"id":37464,"text":"WMA - Laboratory & Analytical Services Division","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":579960,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Miller, Laurence G. 0000-0002-7807-3475 lgmiller@usgs.gov","orcid":"https://orcid.org/0000-0002-7807-3475","contributorId":2460,"corporation":false,"usgs":true,"family":"Miller","given":"Laurence G.","email":"lgmiller@usgs.gov","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":579961,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wei, Jeremy H.","contributorId":149899,"corporation":false,"usgs":false,"family":"Wei","given":"Jeremy","email":"","middleInitial":"H.","affiliations":[{"id":17850,"text":"Dept of Earth System Science, Stanford University, Stanford, CA 94305","active":true,"usgs":false}],"preferred":false,"id":579962,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Cho, Yirang","contributorId":44112,"corporation":false,"usgs":true,"family":"Cho","given":"Yirang","email":"","affiliations":[],"preferred":false,"id":579963,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Matys, Emily D.","contributorId":149900,"corporation":false,"usgs":false,"family":"Matys","given":"Emily","email":"","middleInitial":"D.","affiliations":[{"id":17851,"text":"Dept of Earth, Atmospheric, and Planetary Sciences, Massachusetts Institute of Technology, Cambridge, MA 02139","active":true,"usgs":false}],"preferred":false,"id":579964,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Summons, Roger E.","contributorId":57369,"corporation":false,"usgs":true,"family":"Summons","given":"Roger","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":579965,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Welander, Paula V.","contributorId":149901,"corporation":false,"usgs":false,"family":"Welander","given":"Paula","email":"","middleInitial":"V.","affiliations":[{"id":17850,"text":"Dept of Earth System Science, Stanford University, Stanford, CA 94305","active":true,"usgs":false}],"preferred":false,"id":579966,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Oremland, Ronald S. 0000-0001-7382-0147 roremlan@usgs.gov","orcid":"https://orcid.org/0000-0001-7382-0147","contributorId":931,"corporation":false,"usgs":true,"family":"Oremland","given":"Ronald","email":"roremlan@usgs.gov","middleInitial":"S.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":579959,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70143536,"text":"sir20155043 - 2015 - Hydraulic, geomorphic, and trout habitat conditions of the Lake Fork of the Gunnison River in Hinsdale County, Lake City, Colorado, Water Years 2010-2011","interactions":[],"lastModifiedDate":"2015-06-22T16:42:39","indexId":"sir20155043","displayToPublicDate":"2015-06-22T17:45:00","publicationYear":"2015","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2015-5043","title":"Hydraulic, geomorphic, and trout habitat conditions of the Lake Fork of the Gunnison River in Hinsdale County, Lake City, Colorado, Water Years 2010-2011","docAbstract":"<p>Channel rehabilitation, or reconfiguration, to mitigate a variety of riverine problems has become a common practice in the western United States. However, additional work to monitor and assess the channel response to, and the effectiveness of, these modifications over longer periods of time (decadal or longer) is still needed. The Lake Fork of the Gunnison River has been an area of active channel modification to accommodate the needs of the Lake City community since the 1950s. The Lake Fork Valley Conservancy District began a planning process to assess restoration options for a reach of the Lake Fork in Lake City to enhance hydraulic and ecologic characteristics of the reach. Geomorphic channel form is affected by land-use changes within the basin and geologic controls within the reach. The historic channel was defined as a dynamic, braided channel with an active flood plain. This can result in a natural tendency for the channel to braid. A braided channel can affect channel stability of reconfigured reaches when a single-thread meandering channel is imposed on the stream. The U.S. Geological Survey, in cooperation with the Colorado Water Conservation Board and Colorado River Water Conservation District, began a study in 2010 to quantify existing hydraulic and habitat conditions for a reach of the Lake Fork of the Gunnison River in Lake City, Colorado. The purpose of this report is to quantify existing Lake Fork hydraulic and habitat conditions and establish a baseline against which post-reconfiguration conditions can be compared. This report (1) quantifies the existing hydraulic and geomorphic conditions in a 1.1-kilometer section of the Lake Fork at Lake City that has been proposed as a location for future channel-rehabilitation efforts, (2) characterizes the habitat suitability of the reach for two trout species based on physical conditions within the stream, and (3) characterizes the current riparian canopy density.</p>\n<p>The FaSTMECH computational flow-model within MD_SWMS was selected to characterize the effects of streamflow on hydraulic and habitat-suitability conditions for a study reach of the Lake Fork. Habitat suitability was evaluated for cutthroat (<i>Oncorhynchus clarkii</i>) and brown trout (<i>Salmo trutta morpha fario</i>) fry, juveniles, and adults. Microscale (point locations) and mesoscale (reach features) habitats were assessed using the combination of field observations, measurements, and hydraulic simulations within the study reach of the Lake Fork. Microscale trout habitat, presented as weighted usable area, generally increased as streamflow increased for both trout species and all life stages. Areas of suitable microscale habitat occur along the banks for flows of 900 cubic feet per second (ft<sup>3</sup>/s) and less. Out-of-bank areas became more substantial contributors to overall habitat availability for flows of 1,300 ft<sup>3</sup>/s or more when compared to other features. Adult habitat, for both trout species, was the most abundant habitat type for nearly all streamflows. In general, the upper reach provided 2&ndash;3 times more available habitat than the lower reach for both trout species.</p>\n<p>Mesoscale trout habitat of the Lake Fork was assessed based on the conditions present in the 150 ft<sup>3</sup>/s flow simulation as well as field observation. Both the upper and lower reach is primarily characterized as riffle/run habitat. The presence of pool habitat was limited throughout both reaches and occurred along the channel margins. For both reaches, the pool habitat was less than 5 percent of the total wetted area, a percentage that is substantially lower than the recommendations for sustainable populations of 40&ndash;70 percent. Areas of cover were adjacent to potential drift feeding areas in the lower reach, and often occurred within the same pool habitat. This may favor energy expenditure ratios of both fish species, wherein little energy is needed to acquire adequate food sources.</p>\n<p>Sediment mobility is an important process for flushing fine sediments from within the gravel frameworks. Evaluations of channel and flow characteristics at cross-section locations 2&ndash;8 show a range of streambed mobility. In general, boundary shear stress and streambed mobility increase with increases in streamflow. Within the cross sections, the greatest boundary shear stress occurs towards the center of the channel. Reach-scale assessment of sediment mobility in the lower reach shows increased streambed mobility. This is due in part to smaller grain sizes in the lower reach, but may also reflect the greater extent of channel alterations, specifically the temporary berms constructed by CDOT in the late 1980s and 1990s, present in this reach.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20155043","collaboration":"In cooperation with the Colorado Water Conservation Board and Colorado River Water Conservation District","usgsCitation":"Williams, C.A., Richards, R.J., and Schaffrath, K.R., 2015, Hydraulic, geomorphic, and trout habitat conditions of the Lake Fork of the Gunnison River in Hinsdale County, Lake City, Colorado, Water Years 2010-2011: U.S. Geological Survey Scientific Investigations Report 2015-5043, vi, 28 p., https://doi.org/10.3133/sir20155043.","productDescription":"vi, 28 p.","numberOfPages":"36","onlineOnly":"Y","additionalOnlineFiles":"N","temporalStart":"2010-01-01","temporalEnd":"2011-12-31","ipdsId":"IP-060657","costCenters":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"links":[{"id":301812,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20155043.jpg"},{"id":301810,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2015/5043/"},{"id":301811,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2015/5043/pdf/sir2015-5043.pdf","text":"Report","size":"28.4 MB","linkFileType":{"id":1,"text":"pdf"},"linkHelpText":"SIR 2015-5043 Report"}],"country":"United States","state":"Colorado","county":"Hinsdale County","city":"Lake City","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -107.5177001953125,\n              38.14967752360809\n            ],\n            [\n              -107.00408935546875,\n              38.14535757293734\n            ],\n            [\n              -107.0013427734375,\n              37.9593578107923\n            ],\n            [\n              -107.15789794921875,\n              37.94852933714952\n            ],\n            [\n              -107.1826171875,\n              37.55981972178116\n            ],\n            [\n              -107.56988525390624,\n              37.55764242679522\n            ],\n            [\n              -107.5177001953125,\n              38.14967752360809\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"558923a2e4b0b6d21dd61a45","contributors":{"authors":[{"text":"Williams, Cory A. 0000-0003-1461-7848 cawillia@usgs.gov","orcid":"https://orcid.org/0000-0003-1461-7848","contributorId":689,"corporation":false,"usgs":true,"family":"Williams","given":"Cory","email":"cawillia@usgs.gov","middleInitial":"A.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":542789,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Richards, Rodney J. 0000-0003-3953-984X rjrichar@usgs.gov","orcid":"https://orcid.org/0000-0003-3953-984X","contributorId":2204,"corporation":false,"usgs":true,"family":"Richards","given":"Rodney","email":"rjrichar@usgs.gov","middleInitial":"J.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":542790,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Schaffrath, Keelin R.","contributorId":7552,"corporation":false,"usgs":true,"family":"Schaffrath","given":"Keelin","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":542791,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70147645,"text":"sir20155070 - 2015 - Management of conservation reserve program grasslands to meet wildlife habitat objectives","interactions":[],"lastModifiedDate":"2015-06-22T14:38:16","indexId":"sir20155070","displayToPublicDate":"2015-06-22T15:45:00","publicationYear":"2015","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2015-5070","title":"Management of conservation reserve program grasslands to meet wildlife habitat objectives","docAbstract":"<p>Numerous studies document environmental and social benefits of the Conservation Reserve Program (CRP). This report offers a synopsis of findings regarding effects of establishing CRP conservation practices on the quality and distribution of wildlife habitat in agricultural landscapes. On individual farms, year-round provision of wildlife habitat by the CRP may appear relatively insignificant. However, considered from multi-farm to National scales, such improvements in habitat and wildlife response have proven to be extensive and profound.</p>\n<p>Because CRP acres historically have been dominated by plantings of introduced and native grasses, this report focuses on issues pertaining to wildlife response to grass-dominated conservation practices. While the majority of CRP acres have been concentrated largely in the Great Plains and Corn Belt regions, 47 states (and Puerto Rico) have participated, resulting in measurable environmental benefits throughout the United States. Numerous investigations of habitat use by a wide range of wildlife species reveal that periodic management of CRP lands can enhance benefits through and beyond a typical 10 year general CRP contract.</p>\n<p>Over its 28-year existence, the CRP has evolved into an effective integration of conservation and agricultural policies targeting fragile and environmentally-valuable lands. Landowners with fields enrolled in the CRP often are the first to observe improvement in the landscape, greater numbers and kinds of wildlife, cleaner water and air, less erosion, and they have the satisfaction of seeing fragile lands serve better purposes. There is persistent concern that improvement seen in wildlife habitat and other environmental profits delivered by the CRP are ephemeral and last only as long as funding supports the existence of the program and its vegetative cover is properly managed.</p>\n<p>An involved American population will continue to expect governmental policies to enhance long-term protection of natural resources and public health. Recent investigations furnish evidence that the collective economic value of environmental benefits delivered by the CRP likely exceed program costs. The mounting significance placed on environmentally-responsible land management is based in part on public recognition that social, aesthetic, and recreational values enhance the traditional uses of agricultural land.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20155070","usgsCitation":"Vandever, M.W., and Allen, A., 2015, Management of conservation reserve program grasslands to meet wildlife habitat objectives: U.S. Geological Survey Scientific Investigations Report 2015-5070, iii, 47 p., https://doi.org/10.3133/sir20155070.","productDescription":"iii, 47 p.","numberOfPages":"53","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-063670","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":301697,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20155070.jpg"},{"id":301695,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2015/5070/"},{"id":301696,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2015/5070/pdf/sir2015-5070.pdf","text":"Report","size":"30 MB","linkFileType":{"id":1,"text":"pdf"},"linkHelpText":"SIR 2015-5070 Report"}],"publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"558923a3e4b0b6d21dd61a47","contributors":{"authors":[{"text":"Vandever, Mark W. vandeverm@usgs.gov","contributorId":3004,"corporation":false,"usgs":true,"family":"Vandever","given":"Mark","email":"vandeverm@usgs.gov","middleInitial":"W.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":false,"id":546227,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Allen, Arthur W.","contributorId":59737,"corporation":false,"usgs":true,"family":"Allen","given":"Arthur W.","affiliations":[],"preferred":false,"id":546228,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70148397,"text":"sim3331 - 2015 - Geologic map of the Orchard 7.5' quadrangle, Morgan County, Colorado","interactions":[],"lastModifiedDate":"2019-05-28T12:25:56","indexId":"sim3331","displayToPublicDate":"2015-06-22T15:30:00","publicationYear":"2015","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":333,"text":"Scientific Investigations Map","code":"SIM","onlineIssn":"2329-132X","printIssn":"2329-1311","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"3331","title":"Geologic map of the Orchard 7.5' quadrangle, Morgan County, Colorado","docAbstract":"<p>The Orchard 7.5' quadrangle is located along the South Platte River corridor on the semi-arid plains of eastern Colorado, and contains surficial deposits that record alluvial, eolian, and hillslope processes that have operated through environmental changes from the Pleistocene to the present. The South Platte River, originating high in the Colorado Front Range, has played a major role in shaping the geology of the quadrangle, which is situated downstream of where the last of the major headwater tributaries (St. Vrain, Big Thompson, and Cache la Poudre) join the river. Recurrent glaciation (and deglaciation) of basin headwaters affected river discharge and sediment supply far downstream, influencing alluvium deposition and terrace formation in the Orchard quadrangle. Kiowa and Bijou Creeks, unglaciated tributaries originating east of the Front Range also have played a major role by periodically delivering large volumes of sediment to the river during flood events, which may have temporarily dammed the river. Eolian sand deposits of the Greeley (north of river) and Fort Morgan (south of river) dune fields cover much of the quadrangle and record past episodes of sand mobilization during times of drought. With the onset of irrigation during historic times, the South Platte River has changed from a broad, shallow, and sandy braided river with highly seasonal discharge to a much narrower, deeper river with braided-meandering transition morphology and more uniform discharge. Along this reach, the river has incised into Upper Cretaceous Pierre Shale, which, although buried by alluvial deposits in Orchard quadrangle, is locally exposed downstream along the South Platte River bluff near the Bijou Creek confluence, in some of the larger draws, and along Wildcat Creek.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sim3331","usgsCitation":"Berry, M.E., Slate, J.L., Hanson, P.R., and Brandt, T.R., 2015, Geologic map of the Orchard 7.5' quadrangle, Morgan County, Colorado: U.S. Geological Survey Scientific Investigations Map 3331, Report: 1 p.; 1 Plate: 54.41 x 34.02 inches, https://doi.org/10.3133/sim3331.","productDescription":"Report: 1 p.; 1 Plate: 54.41 x 34.02 inches","numberOfPages":"1","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-056624","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":354903,"rank":7,"type":{"id":22,"text":"Related Work"},"url":"https://doi.org/10.3133/sim3396","text":"Scientific Investigations Map 3396 —","linkHelpText":"Geologic map of the Weldona 7.5' quadrangle, Morgan County, Colorado"},{"id":301694,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sim3331.jpg"},{"id":301629,"rank":3,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sim/3331/pdf/SIM3331_map_geo.pdf","text":"Map Georeferenced","size":"179 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIM 3331 Map_Geo","linkHelpText":"Contains: Georeferenced pdf for users' convenience."},{"id":354902,"rank":6,"type":{"id":22,"text":"Related Work"},"url":"https://doi.org/10.3133/sim3344","text":"Scientific Investigations Map 3344 —","linkHelpText":"Geologic map of the Masters 7.5' quadrangle, Weld and Morgan Counties, Colorado"},{"id":301630,"rank":4,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/sim/3331/downloads/","text":"Downloads Directory","description":"SIM 3331 Downloads Directory","linkHelpText":"Contains: geospatial database. Refer to the Readme and Metadata files for more information."},{"id":301627,"rank":1,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sim/3331/","text":"Index page"},{"id":301628,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sim/3331/pdf/SIM3331_map.pdf","text":"Map","size":"73.1 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIM 3331 Map"},{"id":354904,"rank":8,"type":{"id":22,"text":"Related Work"},"url":"https://doi.org/10.3133/sim3408","text":"Scientific Investigations Map 3408 —","linkHelpText":"Geologic map of the Fort Morgan 7.5' quadrangle, Morgan County, Colorado"},{"id":363168,"rank":9,"type":{"id":22,"text":"Related Work"},"url":"https://doi.org/10.3133/sir20195020","text":"Scientific Investigations Report 2019-5020 —","linkHelpText":"Pleistocene and Holocene Landscape Development of the South Platte River Corridor, Northeastern Colorado"}],"country":"United States","state":"Colorado","county":"Morgan County","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -109.09423828125,\n              36.96744946416934\n            ],\n            [\n              -109.09423828125,\n              40.99648401437787\n            ],\n            [\n              -102.01904296874999,\n              40.99648401437787\n            ],\n            [\n              -102.01904296874999,\n              36.96744946416934\n            ],\n            [\n              -109.09423828125,\n              36.96744946416934\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"558923a0e4b0b6d21dd61a43","contributors":{"authors":[{"text":"Berry, Margaret E. 0000-0002-4113-8212 meberry@usgs.gov","orcid":"https://orcid.org/0000-0002-4113-8212","contributorId":1544,"corporation":false,"usgs":true,"family":"Berry","given":"Margaret","email":"meberry@usgs.gov","middleInitial":"E.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":547986,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Slate, Janet L. 0000-0002-2870-9068 jslate@usgs.gov","orcid":"https://orcid.org/0000-0002-2870-9068","contributorId":252,"corporation":false,"usgs":true,"family":"Slate","given":"Janet","email":"jslate@usgs.gov","middleInitial":"L.","affiliations":[{"id":501,"text":"Office of Science Quality and Integrity","active":true,"usgs":true}],"preferred":true,"id":547987,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hanson, Paul R.","contributorId":35214,"corporation":false,"usgs":true,"family":"Hanson","given":"Paul","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":547988,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Brandt, Theodore R. 0000-0002-7862-9082 tbrandt@usgs.gov","orcid":"https://orcid.org/0000-0002-7862-9082","contributorId":1267,"corporation":false,"usgs":true,"family":"Brandt","given":"Theodore","email":"tbrandt@usgs.gov","middleInitial":"R.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":547989,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70148608,"text":"fs20153045 - 2015 - Progress toward a National Water Census","interactions":[],"lastModifiedDate":"2015-06-22T13:27:07","indexId":"fs20153045","displayToPublicDate":"2015-06-22T14:30:00","publicationYear":"2015","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2015-3045","title":"Progress toward a National Water Census","docAbstract":"<p>Increasing demand and competition for limited regional water resources make it difficult to ensure adequate water availability for both human and ecological needs now and into the future. Recognizing the need to improve the tools and information that are available to effectively evaluate water-resource availability, the U.S. Geological Survey (USGS) identified a National Water Census (NWC) as one of its six core science directions for the decade 2007&ndash;17. In 2009, the SECURE Water Act (Public Law 111&ndash;11) authorized the USGS to develop a national water availability and use assessment program that would update the most recent national assessment of the status of water resources in the United States as well as develop the science to improve forecasts of water availability and quality for future needs.</p>\n<p>By evaluating large-scale effects of changes in land use and land cover, water use, and climate on occurrence and distribution of water, water quality, and human and aquatic-ecosystem health, the NWC will also help to inform a broader initiative by the Department of the Interior, WaterSMART (Sustain and Manage America's Resources for Tomorrow), which provides multiagency funding to pursue a sustainable water supply for the Nation as directed under the SECURE Water Act. Through the NWC, the USGS actively engages Federal, regional, and local stakeholders to identify research priorities and leverages current studies and program activities to provide information that is relevant at both the national and regional scales.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20153045","usgsCitation":"Jones, S.A., 2015, Progress toward a National Water Census: U.S. Geological Survey Fact Sheet 2015-3045, 2 p., https://doi.org/10.3133/fs20153045.","productDescription":"2 p.","numberOfPages":"2","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-048958","costCenters":[{"id":509,"text":"Office of the Associate Director for Water","active":true,"usgs":true}],"links":[{"id":301626,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs20153045.jpg"},{"id":301624,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2015/3045/"},{"id":301625,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2015/3045/pdf/fs2015-3045.pdf","text":"Report","size":"500 KB","linkFileType":{"id":1,"text":"pdf"},"description":"FS 2015-3045 Report"}],"publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"558923a5e4b0b6d21dd61a4b","contributors":{"authors":[{"text":"Jones, Sonya A. 0000-0002-7462-8576 sajones@usgs.gov","orcid":"https://orcid.org/0000-0002-7462-8576","contributorId":1690,"corporation":false,"usgs":true,"family":"Jones","given":"Sonya","email":"sajones@usgs.gov","middleInitial":"A.","affiliations":[],"preferred":true,"id":550491,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70148349,"text":"fs20153042 - 2015 - Changing Arctic Ecosystems: Updated forecast: Reducing carbon dioxide (CO2) emissions required to improve polar bear outlook","interactions":[],"lastModifiedDate":"2018-10-30T14:32:18","indexId":"fs20153042","displayToPublicDate":"2015-06-22T12:45:00","publicationYear":"2015","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2015-3042","title":"Changing Arctic Ecosystems: Updated forecast: Reducing carbon dioxide (CO2) emissions required to improve polar bear outlook","docAbstract":"<p>The Arctic is warming faster than other regions of the world due to the loss of snow and ice, which increases the amount of solar energy absorbed by the region. The most visible consequence has been the rapid decline in sea ice over the last 3 decades-a decline projected to bring long ice-free summers if greenhouse gas (GHG) emissions are not significantly reduced. The polar bear (<i>Ursus maritimus</i>) depends on sea ice over the biologically productive continental shelves of the Arctic Ocean as a platform for hunting seals. In 2008, the U.S. Fish and Wildlife Service listed the polar bear as threatened under the Endangered Species Act (ESA) due to the threat posed by sea ice loss. The polar bear was the first species to be listed due to forecasted population declines from climate change.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20153042","usgsCitation":"Oakley, K.L., Atwood, T.C., Mugel, D.N., Rode, K.D., and Whalen, M.E., 2015, Changing Arctic Ecosystems: Updated forecast: Reducing carbon dioxide (CO2) emissions required to improve polar bear outlook: U.S. Geological Survey Fact Sheet 2015-3042, 2 p., https://doi.org/10.3133/fs20153042.","productDescription":"2 p.","numberOfPages":"2","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-065070","costCenters":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"links":[{"id":301553,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs20153042.JPG"},{"id":301529,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2015/3042/pdf/fs2015-3042.pdf","text":"Report","size":"671 KB","linkFileType":{"id":1,"text":"pdf"},"description":"FS 2015-3042 Report"},{"id":301528,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2015/3042/"}],"country":"Canada, Russia, United States","otherGeospatial":"Arctic","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5589239ee4b0b6d21dd61a41","contributors":{"authors":[{"text":"Oakley, Karen L. koakley@usgs.gov","contributorId":747,"corporation":false,"usgs":true,"family":"Oakley","given":"Karen","email":"koakley@usgs.gov","middleInitial":"L.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":547794,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Atwood, Todd C. 0000-0002-1971-3110 tatwood@usgs.gov","orcid":"https://orcid.org/0000-0002-1971-3110","contributorId":4368,"corporation":false,"usgs":true,"family":"Atwood","given":"Todd","email":"tatwood@usgs.gov","middleInitial":"C.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":549803,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mugel, Douglas N. dmugel@usgs.gov","contributorId":290,"corporation":false,"usgs":true,"family":"Mugel","given":"Douglas","email":"dmugel@usgs.gov","middleInitial":"N.","affiliations":[{"id":396,"text":"Missouri Water Science Center","active":true,"usgs":true}],"preferred":true,"id":549804,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Rode, Karyn D. 0000-0002-3328-8202 krode@usgs.gov","orcid":"https://orcid.org/0000-0002-3328-8202","contributorId":5053,"corporation":false,"usgs":true,"family":"Rode","given":"Karyn","email":"krode@usgs.gov","middleInitial":"D.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":549805,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Whalen, Mary E. 0000-0003-2820-5158 mwhalen@usgs.gov","orcid":"https://orcid.org/0000-0003-2820-5158","contributorId":203717,"corporation":false,"usgs":true,"family":"Whalen","given":"Mary","email":"mwhalen@usgs.gov","middleInitial":"E.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":549806,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70148599,"text":"ofr20151116 - 2015 - NGA-West 2 GMPE average site coefficients for use in earthquake-resistant design","interactions":[],"lastModifiedDate":"2015-06-22T11:48:07","indexId":"ofr20151116","displayToPublicDate":"2015-06-22T12:45:00","publicationYear":"2015","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2015-1116","title":"NGA-West 2 GMPE average site coefficients for use in earthquake-resistant design","docAbstract":"<p><span>Site coefficients corresponding to those in tables 11.4&ndash;1 and 11.4&ndash;2 of Minimum Design Loads for Buildings and Other Structures published by the American Society of Civil Engineers (Standard ASCE/SEI 7-10) are derived from four of the Next Generation Attenuation West2 (NGA-W2) Ground-Motion Prediction Equations (GMPEs). The resulting coefficients are compared with those derived by other researchers and those derived from the NGA-West1 database. The derivation of the NGA-W2 average site coefficients provides a simple procedure to update site coefficients with each update in the Maximum Considered Earthquake Response MCER maps. The simple procedure yields average site coefficients consistent with those derived for site-specific design purposes. The NGA-W2 GMPEs provide simple scale factors to reduce conservatism in current simplified design procedures.</span></p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20151116","usgsCitation":"Borcherdt, R.D., 2015, NGA-West 2 GMPE average site coefficients for use in earthquake-resistant design: U.S. Geological Survey Open-File Report 2015-1116, v, 27 p., https://doi.org/10.3133/ofr20151116.","productDescription":"v, 27 p.","numberOfPages":"32","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-062975","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":301552,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20151116.gif"},{"id":301551,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2015/1116/pdf/ofr2015-1116.pdf","text":"Report","size":"346 KB","linkFileType":{"id":1,"text":"pdf"},"description":"Report"},{"id":301550,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2015/1116/"}],"publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"558923a4e4b0b6d21dd61a49","contributors":{"authors":[{"text":"Borcherdt, Roger D. 0000-0002-8668-0849 borcherdt@usgs.gov","orcid":"https://orcid.org/0000-0002-8668-0849","contributorId":2373,"corporation":false,"usgs":true,"family":"Borcherdt","given":"Roger","email":"borcherdt@usgs.gov","middleInitial":"D.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":548837,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70197064,"text":"70197064 - 2015 - Economic assessment of the use value of geospatial information","interactions":[],"lastModifiedDate":"2018-05-18T13:47:13","indexId":"70197064","displayToPublicDate":"2015-06-22T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5685,"text":"ISPRS International Journal of Geo-Information ","printIssn":"2220-9964","active":true,"publicationSubtype":{"id":10}},"title":"Economic assessment of the use value of geospatial information","docAbstract":"<p><span>Geospatial data inform decision makers. An economic model that involves application of spatial and temporal scientific, technical, and economic data in decision making is described. The value of information (VOI) contained in geospatial data is the difference between the net benefits (in present value terms) of a decision with and without the information. A range of technologies is used to collect and distribute geospatial data. These technical activities are linked to examples that show how the data can be applied in decision making, which is a cultural activity. The economic model for assessing the VOI in geospatial data for decision making is applied to three examples: (1) a retrospective model about environmental regulation of agrochemicals; (2) a prospective model about the impact and mitigation of earthquakes in urban areas; and (3) a prospective model about developing private–public geospatial information for an ecosystem services market. Each example demonstrates the potential value of geospatial information in a decision with uncertain information.</span></p>","language":"English","publisher":"International Society for Photogrammetry and Remote Sensing","doi":"10.3390/ijgi4031142","usgsCitation":"Bernknopf, R.L., and Shapiro, C.D., 2015, Economic assessment of the use value of geospatial information: ISPRS International Journal of Geo-Information , v. 4, no. 3, p. 1142-1165, https://doi.org/10.3390/ijgi4031142.","productDescription":"24 p.","startPage":"1142","endPage":"1165","ipdsId":"IP-066480","costCenters":[{"id":554,"text":"Science and Decisions Center","active":true,"usgs":true}],"links":[{"id":472003,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/ijgi4031142","text":"Publisher Index Page"},{"id":354200,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"4","issue":"3","noUsgsAuthors":false,"publicationDate":"2015-07-09","publicationStatus":"PW","scienceBaseUri":"5afeeb5fe4b0da30c1bfc667","contributors":{"authors":[{"text":"Bernknopf, Richard L.","contributorId":97061,"corporation":false,"usgs":true,"family":"Bernknopf","given":"Richard","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":735455,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Shapiro, Carl D. 0000-0002-1598-6808 cshapiro@usgs.gov","orcid":"https://orcid.org/0000-0002-1598-6808","contributorId":3048,"corporation":false,"usgs":true,"family":"Shapiro","given":"Carl","email":"cshapiro@usgs.gov","middleInitial":"D.","affiliations":[{"id":554,"text":"Science and Decisions Center","active":true,"usgs":true}],"preferred":true,"id":735456,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70156185,"text":"70156185 - 2015 - Identifying priority chronic wasting disease surveillance areas for mule deer in Montana","interactions":[],"lastModifiedDate":"2016-04-13T12:36:47","indexId":"70156185","displayToPublicDate":"2015-06-19T14:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2508,"text":"Journal of Wildlife Management","active":true,"publicationSubtype":{"id":10}},"title":"Identifying priority chronic wasting disease surveillance areas for mule deer in Montana","docAbstract":"<p>Chronic wasting disease (CWD) is a fatal prion disease that affects a variety of ungulate species including mule deer (<i>Odocoileus hemionus</i>). As of 2014, no CWD cases had been reported in free-ranging ungulates in Montana. However, nearby cases in Canada, Wyoming, and the Dakotas indicated that the disease was encroaching on Montana's borders. Mule deer are native and common throughout Montana, and they represent a significant portion of the total hunter-harvested cervids in the state. The arrival of CWD in Montana may have significant ecosystem and socioeconomic impacts as well as potential consequences for wildlife management. We used 18,879 mule deer locations from 892 individual deer collected during 1975&ndash;2011 and modeled habitat selection for 7 herds in 5 of the 7 wildlife management regions in Montana. We estimated resource selection functions (RSF) in a Bayesian framework to predict summer and winter habitat preferences for mule deer. We estimated deer abundance from flyover counts for each region, and used the RSF predictions as weights to distribute the deer across the region. We then calculated the distance to the nearest known infected herds. We predicted areas of high risk of CWD infection in mule deer as areas with densities above the median density estimate and within the lowest quartile of distances to known infected herds. We identified these areas, the southeast corner of Montana and the north-central border near Alberta and Saskatchewan, as priority areas for CWD surveillance and management efforts.&nbsp;</p>","language":"English","publisher":"Wildlife Society","doi":"10.1002/jwmg.914","usgsCitation":"Russell, R.E., Gude, J., Anderson, N., and Ramsey, J.M., 2015, Identifying priority chronic wasting disease surveillance areas for mule deer in Montana: Journal of Wildlife Management, v. 79, p. 989-997, https://doi.org/10.1002/jwmg.914.","productDescription":"9 p.","startPage":"989","endPage":"997","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-053508","costCenters":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"links":[{"id":306631,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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,{"id":70140696,"text":"ds922 - 2015 - Data from the 2011 International Piping Plover Census","interactions":[],"lastModifiedDate":"2017-11-22T15:54:20","indexId":"ds922","displayToPublicDate":"2015-06-19T10:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":310,"text":"Data Series","code":"DS","onlineIssn":"2327-638X","printIssn":"2327-0271","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"922","title":"Data from the 2011 International Piping Plover Census","docAbstract":"<p><span>This report provides results from the 2011 International Census of Piping Plovers (</span><i>Charadrius melodus</i><span>). Distribution and abundance data for wintering and breeding Piping Plovers are summarized in tabular format. An appendix provides census data for every site surveyed in every state, province, and island. The 2011 winter census resulted in the observation of 3,973 Piping Plovers. Expanded coverage outside of the United States led to the discovery of more than 1,000 Piping Plovers wintering in the Bahamas. The breeding census detected 2,771 birds in Atlantic Canada and the Plains, Prairies, and Great Lakes regions of the United States and Canada. Combining the census count with the U.S. Atlantic &ldquo;window census&rdquo; provides a total minimum estimate of 5,723 breeding birds for the species.</span></p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds922","collaboration":"Report prepared jointly by the U.S. Geological Survey and Environment Canada. Cooperating agencies: U.S. Army Corps of Engineers and the U.S. Fish and Wildlife Service.","usgsCitation":"Elliott-Smith, E., Bidwell, M., Holland, A.E., and Haig, S.M., 2015, Data from the 2011 International Piping Plover Census: U.S. Geological Survey Data Series 922, iii, 296 p., https://doi.org/10.3133/ds922.","productDescription":"iii, 296 p.","numberOfPages":"304","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-057107","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":301321,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ds922.PNG"},{"id":301294,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/0922"},{"id":301320,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/ds/0922/pdf/ds922.pdf","text":"Report","size":"21.4 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Report"}],"country":"Canada, United States","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -80.068359375,\n              43.389081939117496\n            ],\n            [\n              -80.068359375,\n              62.83508901142283\n            ],\n            [\n              -52.20703125,\n              62.83508901142283\n            ],\n            [\n              -52.20703125,\n              43.389081939117496\n            ],\n            [\n              -80.068359375,\n              43.389081939117496\n            ]\n          ]\n        ]\n      }\n    },\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -119.970703125,\n              45.398449976304086\n            ],\n            [\n              -119.970703125,\n              59.88893689676585\n            ],\n            [\n              -80.244140625,\n              59.88893689676585\n            ],\n            [\n              -80.244140625,\n              45.398449976304086\n            ],\n            [\n              -119.970703125,\n              45.398449976304086\n            ]\n          ]\n        ]\n      }\n    },\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -125.5078125,\n              36.4566360115962\n            ],\n            [\n              -125.5078125,\n              49.15296965617039\n            ],\n            [\n              -66.70898437499999,\n              49.15296965617039\n            ],\n            [\n              -66.70898437499999,\n              36.4566360115962\n            ],\n            [\n              -125.5078125,\n              36.4566360115962\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"55852f1de4b023124e8f5aa3","contributors":{"authors":[{"text":"Elliott-Smith, Elise eelliott-smith@usgs.gov","contributorId":3645,"corporation":false,"usgs":true,"family":"Elliott-Smith","given":"Elise","email":"eelliott-smith@usgs.gov","affiliations":[{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true}],"preferred":true,"id":548922,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bidwell, Mark T.","contributorId":139204,"corporation":false,"usgs":false,"family":"Bidwell","given":"Mark T.","affiliations":[{"id":12696,"text":"Environmental Canada","active":true,"usgs":false}],"preferred":false,"id":548923,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Holland, Amanda E.","contributorId":139205,"corporation":false,"usgs":false,"family":"Holland","given":"Amanda","email":"","middleInitial":"E.","affiliations":[{"id":12697,"text":"University of Georgia","active":true,"usgs":false}],"preferred":false,"id":548924,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Haig, Susan M. 0000-0002-6616-7589 susan_haig@usgs.gov","orcid":"https://orcid.org/0000-0002-6616-7589","contributorId":719,"corporation":false,"usgs":true,"family":"Haig","given":"Susan","email":"susan_haig@usgs.gov","middleInitial":"M.","affiliations":[{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true},{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":548925,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70148000,"text":"fs20153038 - 2015 - Water resources of St. James Parish, Louisiana","interactions":[],"lastModifiedDate":"2015-06-19T08:55:18","indexId":"fs20153038","displayToPublicDate":"2015-06-19T09:45:00","publicationYear":"2015","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2015-3038","title":"Water resources of St. James Parish, Louisiana","docAbstract":"<p><span>Information concerning the availability, use, and quality of water in St. James Parish, Louisiana, is critical for proper water-supply management. The purpose of this fact sheet is to present information that can be used by water managers, parish residents, and others for stewardship of this vital resource. Information on the availability, past and current use, use trends, and water quality from groundwater and surface-water sources in the parish is presented. Previously published reports and data stored in the U.S. Geological Survey&rsquo;s National Water Information System (</span><a href=\"http://waterdata.usgs.gov/nwis\">http://waterdata.usgs.gov/nwis</a><span>) are the primary sources of the information presented here.</span></p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20153038","collaboration":"Prepared in cooperation with the Louisiana Department of Transportation and Development","usgsCitation":"White, V.E., and Prakken, L., 2015, Water resources of St. James Parish, Louisiana: U.S. Geological Survey Fact Sheet 2015-3038, 6 p., https://doi.org/10.3133/fs20153038.","productDescription":"6 p.","numberOfPages":"6","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-063524","costCenters":[{"id":369,"text":"Louisiana Water Science Center","active":true,"usgs":true}],"links":[{"id":301309,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs20153038.jpg"},{"id":301308,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2015/3038/pdf/fs2015-3038.pdf","text":"Report","size":"3.44 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Report"},{"id":301289,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2015/3038/"}],"country":"United States","state":"Louisiana","county":"St. James Parish","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -90.98052978515625,\n              29.854937397596718\n            ],\n            [\n              -90.98052978515625,\n              30.184308939305243\n            ],\n            [\n              -90.61660766601562,\n              30.184308939305243\n            ],\n            [\n              -90.61660766601562,\n              29.854937397596718\n            ],\n            [\n              -90.98052978515625,\n              29.854937397596718\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"55852f1ee4b023124e8f5aa9","contributors":{"authors":[{"text":"White, Vincent E. 0000-0002-1660-0102 vwhite@usgs.gov","orcid":"https://orcid.org/0000-0002-1660-0102","contributorId":5388,"corporation":false,"usgs":true,"family":"White","given":"Vincent","email":"vwhite@usgs.gov","middleInitial":"E.","affiliations":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true},{"id":369,"text":"Louisiana Water Science Center","active":true,"usgs":true}],"preferred":true,"id":548877,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Prakken, Lawrence B. lprakken@usgs.gov","contributorId":139067,"corporation":false,"usgs":true,"family":"Prakken","given":"Lawrence B.","email":"lprakken@usgs.gov","affiliations":[{"id":369,"text":"Louisiana Water Science Center","active":true,"usgs":true}],"preferred":false,"id":548878,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70139258,"text":"sir20105090W - 2015 - Porphyry copper assessment of northeast Asia: Far East Russia and northeasternmost China: Chapter W in <i>Global mineral resource assessment</i>","interactions":[{"subject":{"id":70139258,"text":"sir20105090W - 2015 - Porphyry copper assessment of northeast Asia: Far East Russia and northeasternmost China: Chapter W in <i>Global mineral resource assessment</i>","indexId":"sir20105090W","publicationYear":"2015","noYear":false,"chapter":"W","title":"Porphyry copper assessment of northeast Asia: Far East Russia and northeasternmost China: Chapter W in <i>Global mineral resource assessment</i>"},"predicate":"IS_PART_OF","object":{"id":70040436,"text":"sir20105090 - 2010 - Global mineral resource assessment","indexId":"sir20105090","publicationYear":"2010","noYear":false,"title":"Global mineral resource assessment"},"id":1}],"isPartOf":{"id":70040436,"text":"sir20105090 - 2010 - Global mineral resource assessment","indexId":"sir20105090","publicationYear":"2010","noYear":false,"title":"Global mineral resource assessment"},"lastModifiedDate":"2019-07-31T09:48:57","indexId":"sir20105090W","displayToPublicDate":"2015-06-19T09:15:00","publicationYear":"2015","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2010-5090","chapter":"W","title":"Porphyry copper assessment of northeast Asia: Far East Russia and northeasternmost China: Chapter W in <i>Global mineral resource assessment</i>","docAbstract":"<p>The U.S. Geological Survey assesses resources (mineral, energy, water, environmental, and biologic) at regional, national, and global scales to provide science in support of land management and decision making. Mineral resource assessments provide a synthesis of available information about where mineral deposits are known and suspected to be in the Earth&rsquo;s crust, which commodities may be present, and estimates of amounts of resources in undiscovered deposits.</p>\n<p>A probabilistic mineral resource assessment of undiscovered resources associated with porphyry copper deposits in northeast Asia&mdash;composed mainly of Far East Russia and a small part of northeasternmost China&mdash;was completed as part of a global mineral resource assessment. Porphyry copper deposits are the main source of copper globally. Russia is an important source of copper, consistently ranking as 6th, 7th, or 8th in world production since 2000, and ranked 7th in 2014. Most of this production has been from magmatic copper-nickel-platinum-group element, volcanogenic massive sulfide, and sediment-hosted copper deposit types.</p>\n<p>The purpose of the assessment was to (1) compile a database of known deposits and significant prospects, (2) delineate permissive areas (tracts) for undiscovered porphyry copper deposits that may be present in the upper kilometer of the Earth&rsquo;s crust, and (3) provide probabilistic estimates of amounts of copper (Cu), molybdenum (Mo), gold (Au), and silver (Ag) that could be contained in undiscovered porphyry copper deposits in the tracts. The assessment was completed by the U.S. Geological Survey in collaboration with geologists from the Russian Academy of Sciences and industry consultants.</p>\n<p>The database of known deposits, significant prospects, and prospects includes an inventory of mineral resources in two known porphyry copper deposits, as well as key characteristics derived from available exploration reports for 70 significant porphyry copper prospects and 86 other prospects. Resource and exploration and development activity are updated with information current through February 2013.</p>","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"Global mineral resource assessment (Scientific Investigations Report 2010-5090)","largerWorkSubtype":{"id":5,"text":"USGS Numbered Series"},"language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20105090W","collaboration":"Prepared in cooperation with the Russian Academy of Sciences","usgsCitation":"Mihalasky, M.J., Ludington, S., Alexeiev, D.V., Frost, T.P., Light, T., Briggs, D.A., Hammarstrom, J.M., Wallis, J., Bookstrom, A.A., and Panteleyev, A., 2015, Porphyry copper assessment of northeast Asia: Far East Russia and northeasternmost China: Chapter W in <i>Global mineral resource assessment</i>: U.S. Geological Survey Scientific Investigations Report 2010-5090, Report: ix, 104 p.; Appendixes F-G, https://doi.org/10.3133/sir20105090W.","productDescription":"Report: ix, 104 p.; Appendixes F-G","numberOfPages":"118","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-058282","costCenters":[{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":301325,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20105090W.gif"},{"id":301323,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2010/5090/w/SIR2010-5090-W_Appendix_F.xlsx","text":"Appendix F","size":"303 kB","linkFileType":{"id":3,"text":"xlsx"},"description":"Appendix F","linkHelpText":"Excel Workbook for Deposits, Significant Prospects, and Prospects for the Porphyry Copper Assessment of Northeast Asia—Far East Russia and Northeasternmost China."},{"id":301322,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2010/5090/w/pdf/sir2010-5090-W.pdf","text":"Report","size":"9.6 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Report"},{"id":301292,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2010/5090/w/"},{"id":301324,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2010/5090/w/SIR2010-5090-W_GIS.zip","text":"Appendix G","size":"4 MB","linkFileType":{"id":6,"text":"zip"},"description":"Appendix G","linkHelpText":"An Esri ArcGIS file-geodatabase (142pCu.gdb), containing three feature classes, and an Esri map document (.mxd)."}],"projection":"Asia North Lambert Conformal Conic Projection","country":"China, Russia","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"55852f1de4b023124e8f5aa5","contributors":{"authors":[{"text":"Mihalasky, Mark J. 0000-0002-0082-3029 mjm@usgs.gov","orcid":"https://orcid.org/0000-0002-0082-3029","contributorId":3692,"corporation":false,"usgs":true,"family":"Mihalasky","given":"Mark","email":"mjm@usgs.gov","middleInitial":"J.","affiliations":[{"id":662,"text":"Western Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":387,"text":"Mineral Resources Program","active":true,"usgs":true},{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":false,"id":548910,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ludington, Stephen slud@usgs.gov","contributorId":3093,"corporation":false,"usgs":true,"family":"Ludington","given":"Stephen","email":"slud@usgs.gov","affiliations":[{"id":662,"text":"Western Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":false,"id":548911,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Alexeiev, Dmitriy V.","contributorId":89425,"corporation":false,"usgs":true,"family":"Alexeiev","given":"Dmitriy","email":"","middleInitial":"V.","affiliations":[],"preferred":false,"id":548912,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Frost, Thomas P. 0000-0001-8348-8432 tfrost@usgs.gov","orcid":"https://orcid.org/0000-0001-8348-8432","contributorId":203,"corporation":false,"usgs":true,"family":"Frost","given":"Thomas","email":"tfrost@usgs.gov","middleInitial":"P.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":548913,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Light, Thomas D.","contributorId":46098,"corporation":false,"usgs":true,"family":"Light","given":"Thomas D.","affiliations":[],"preferred":false,"id":548914,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Briggs, Deborah A. dbriggs@usgs.gov","contributorId":5722,"corporation":false,"usgs":true,"family":"Briggs","given":"Deborah","email":"dbriggs@usgs.gov","middleInitial":"A.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":548915,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Hammarstrom, Jane M. 0000-0003-2742-3460 jhammars@usgs.gov","orcid":"https://orcid.org/0000-0003-2742-3460","contributorId":1226,"corporation":false,"usgs":true,"family":"Hammarstrom","given":"Jane","email":"jhammars@usgs.gov","middleInitial":"M.","affiliations":[{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":387,"text":"Mineral Resources Program","active":true,"usgs":true}],"preferred":true,"id":548916,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Wallis, John C. jwallis@usgs.gov","contributorId":4084,"corporation":false,"usgs":true,"family":"Wallis","given":"John C.","email":"jwallis@usgs.gov","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":false,"id":548917,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Bookstrom, Arthur A. 0000-0003-1336-3364 abookstrom@usgs.gov","orcid":"https://orcid.org/0000-0003-1336-3364","contributorId":1542,"corporation":false,"usgs":true,"family":"Bookstrom","given":"Arthur","email":"abookstrom@usgs.gov","middleInitial":"A.","affiliations":[{"id":5056,"text":"Office of the AD Energy and Minerals, and Environmental Health","active":true,"usgs":true},{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":548918,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Panteleyev, Andre","contributorId":138932,"corporation":false,"usgs":false,"family":"Panteleyev","given":"Andre","email":"","affiliations":[{"id":12586,"text":"Consultant","active":true,"usgs":false}],"preferred":false,"id":548919,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}}
,{"id":70148356,"text":"sir20155076 - 2015 - Satellite monitoring of dramatic changes at Hawai'i's only alpine lake: Lake Waiau on Mauna Kea volcano","interactions":[],"lastModifiedDate":"2015-06-19T09:10:25","indexId":"sir20155076","displayToPublicDate":"2015-06-19T09:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2015-5076","title":"Satellite monitoring of dramatic changes at Hawai'i's only alpine lake: Lake Waiau on Mauna Kea volcano","docAbstract":"<p><span>Lake Waiau is a small, typically 100-meter-long lake, located near the summit of Mauna Kea volcano, on the Island of Hawaiʻi. It is Hawaiʻi&rsquo;s only alpine lake and is considered sacred in Hawaiian cultural tradition. Over the past few years, the lake has diminished in size, and, by October 2013, surface water had almost completely disappeared from the lake. In this study, we use high-resolution satellite images and aerial photographs to document recent changes at the lake. Based on our reconstructions covering the past 200 years, the historical lake surface area has typically ranged from 5,000 to 7,000 square meters, but in 2010 a dramatic plunge in lake area ensued. The lake area rebounded significantly in early 2014, following heavy winter storms. This near disappearance of the lake, judging from analysis of visitor photographs and field reports, appears to be highly unusual, if not unprecedented, in the historical record. The unusually low water levels in the lake are consistent with a recent severe drought in Hawaiʻi. <br /></span></p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20155076","usgsCitation":"Patrick, M.R., and Kauahikaua, J.P., 2015, Satellite monitoring of dramatic changes at Hawai'i's only alpine lake: Lake Waiau on Mauna Kea volcano: U.S. Geological Survey Scientific Investigations Report 2015-5076, iii, 16 p., https://doi.org/10.3133/sir20155076.","productDescription":"iii, 16 p.","numberOfPages":"24","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-059618","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":301312,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20155076.gif"},{"id":301311,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2015/5076/pdf/sir2015-5076.pdf","text":"Report","size":"27.6 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Report"},{"id":301296,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2015/5076/"}],"country":"United States","state":"Hawaii","otherGeospatial":"Lake Waiau, Mauna Kea volcano","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -155.47690629959106,\n              19.811587004447563\n            ],\n            [\n              -155.47722816467285,\n              19.811788880726503\n            ],\n            [\n              -155.47752857208252,\n              19.811819162146236\n            ],\n            [\n              -155.47791481018066,\n              19.811758599300997\n            ],\n            [\n              -155.477796792984,\n              19.811223626499736\n            ],\n            [\n              -155.47746419906616,\n              19.8108097783813\n            ],\n            [\n              -155.4772710800171,\n              19.810850153854897\n            ],\n            [\n              -155.47690629959106,\n              19.811587004447563\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"55852f1ee4b023124e8f5aa7","contributors":{"authors":[{"text":"Patrick, Matthew R. 0000-0002-8042-6639 mpatrick@usgs.gov","orcid":"https://orcid.org/0000-0002-8042-6639","contributorId":2070,"corporation":false,"usgs":true,"family":"Patrick","given":"Matthew","email":"mpatrick@usgs.gov","middleInitial":"R.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":548933,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kauahikaua, James P. 0000-0003-3777-503X jimk@usgs.gov","orcid":"https://orcid.org/0000-0003-3777-503X","contributorId":2146,"corporation":false,"usgs":true,"family":"Kauahikaua","given":"James","email":"jimk@usgs.gov","middleInitial":"P.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":548934,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70148071,"text":"sir20155063 - 2015 - Chance findings about early holocene tidal marshes of Grays Harbor, Washington, in relation to rapidly rising seas and great subduction earthquakes","interactions":[],"lastModifiedDate":"2016-06-23T16:10:31","indexId":"sir20155063","displayToPublicDate":"2015-06-19T08:30:00","publicationYear":"2015","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2015-5063","title":"Chance findings about early holocene tidal marshes of Grays Harbor, Washington, in relation to rapidly rising seas and great subduction earthquakes","docAbstract":"<p>Tidal marshes commonly build upward apace with gradual rise in the level of the sea. It is expected, however, that few tidal marshes will keep up with accelerated sea-level rise later in this century. Tidal marshes have been drowned, moreover, after subsiding during earthquakes.</p>\n<p>This report tells of ancient marshes that endured rapid sea-level rise in a region that subsides during earthquakes. The soils of these marshes were unexpectedly encountered in borings for a public-works project at Grays Harbor, Washington. The borings were logged quickly and only a few of the core sections were conserved. The limited findings pose puzzles about how the ancient marshes endured and what their history implies for earthquake hazards.</p>\n<p>The borings establish that tidal marshes persisted during the early Holocene at Grays Harbor, an estuary along the Cascadia Subduction Zone of western North America. The persistent marshes are recorded by a unit of peaty mud up to 10 m thick and as much as 40 m below present sea level in the drowned valley of the Chehalis River. The unit was encountered in two areas 4 km apart that were tidal flats in the 19th century. The marshes originated less than 10,000 years ago and endured through most or all of an estimated 500&ndash;1,500 years.</p>\n<p>The borings further show that these persistent marshes eventually yielded to tidal flats, tidal channels, or both. The change is marked by sand and mud that overlie the peaty mud at a typically sharp contact. The marshes were drowned about 8,600&ndash;8,400 years ago if the sand and mud buried them promptly, or later if the sand and mud filled channels that migrated across the peaty mud. In one of the studied areas, tidal marshes became re-established locally in the early Holocene and widely in the middle Holocene, and deposits of middle Holocene marshes were overrun as recently as 1,000 years ago by a gravelly tidal channel. In the other area, tidal-flat and probably subtidal deposits make up all of the middle and late Holocene section below artificial fill; if marshes became re-established in this area after about 8,600&ndash;8,400 years ago, their deposits have been lost to erosion.</p>\n<p>The puzzles posed by these findings include: (1) How did the marshes manage to endure centuries of relative sea-level rise that likely approached 1 cm/yr on average? (2) Did the marshes also endure subsidence that accompanied great thrust earthquakes on the Cascadia Subduction Zone? (3) Was their eventual drowning triggered by a Cascadia earthquake of unusually large size, or can the drowning be explained by sea-level rise that included a jump from drainage of glacial Lake Agassiz?</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20155063","usgsCitation":"Phipps, J.B., Hemphill-Haley, E., and Atwater, B.F., 2015, Chance findings about early Holocene tidal marshes of Grays Harbor, Washington, in relation to rapidly rising seas and great subduction earthquakes (ver. 1.1, May 2016): U.S. Geological Survey Scientific Investigations Report 2015–5063, 36 p., https://dx.doi.org/10.3133/sir20155063.","productDescription":"v, 36 p.","numberOfPages":"46","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-061411","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":301307,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2015/5063/pdf/sir2015-5063_report.pdf","text":"Report","size":"2.8 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2015-5063 Report"},{"id":301290,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2015/5063/"},{"id":321432,"rank":3,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2015/5063/images/coverthb2.jpg"},{"id":321448,"rank":4,"type":{"id":25,"text":"Version History"},"url":"https://pubs.usgs.gov/sir/2015/5063/versionHistory.txt","size":"644 B","linkFileType":{"id":2,"text":"txt"},"description":"SIR 2015-5063 Version History"}],"country":"United States","state":"Washington","otherGeospatial":"Grays Harbor","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -124.1949462890625,\n              46.842346477463266\n            ],\n            [\n              -124.1949462890625,\n              47.05562189093551\n            ],\n            [\n              -123.7445068359375,\n              47.05562189093551\n            ],\n            [\n              -123.7445068359375,\n              46.842346477463266\n            ],\n            [\n              -124.1949462890625,\n              46.842346477463266\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p>Earthquake Science Center, Seattle, Washington Field Office<br> U.S. Geological Survey<br> Dept. Earth &amp; Space Sciences<br> University of Washington, Box 351310<br> Seattle, WA 98195-1310<br> <a href=\"http://earthquake.usgs.gov/\" target=\"blank\" data-mce-href=\"http://earthquake.usgs.gov/\">http://earthquake.usgs.gov/</a></p>","tableOfContents":"<ul><li>Abstract</li><li>Introduction</li><li>Background</li><li>Setting</li><li>Methods</li><li>Stratigraphy</li><li>Inferred Tidal-Marsh History</li><li>Implications for 21st-Century Tidal Marshes</li><li>Implications for Earthquake History</li><li>Suggestions for Further Work</li><li>References Cited</li></ul>","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"publishedDate":"2015-06-18","revisedDate":"2016-05-19","noUsgsAuthors":false,"publicationDate":"2015-06-18","publicationStatus":"PW","scienceBaseUri":"55852f1ae4b023124e8f5aa1","contributors":{"authors":[{"text":"Phipps, James B.","contributorId":140837,"corporation":false,"usgs":false,"family":"Phipps","given":"James","email":"","middleInitial":"B.","affiliations":[{"id":13591,"text":"Grays Harbor College, emeritus","active":true,"usgs":false}],"preferred":false,"id":548890,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hemphill-Haley, Eileen 0000-0002-6988-5906","orcid":"https://orcid.org/0000-0002-6988-5906","contributorId":84366,"corporation":false,"usgs":true,"family":"Hemphill-Haley","given":"Eileen","email":"","affiliations":[],"preferred":false,"id":548891,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Atwater, Brian F. 0000-0003-1155-2815 atwater@usgs.gov","orcid":"https://orcid.org/0000-0003-1155-2815","contributorId":3297,"corporation":false,"usgs":true,"family":"Atwater","given":"Brian","email":"atwater@usgs.gov","middleInitial":"F.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":548889,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70168950,"text":"70168950 - 2015 - Curiosity’s robotic arm-mounted Mars Hand Lens Imager (MAHLI): Characterization and calibration status","interactions":[],"lastModifiedDate":"2018-11-13T13:56:58","indexId":"70168950","displayToPublicDate":"2015-06-19T02:30:00","publicationYear":"2015","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":9,"text":"Other Report"},"seriesTitle":{"id":5776,"text":"MSL MAHLI Technical Report","active":true,"publicationSubtype":{"id":9}},"seriesNumber":"0001","title":"Curiosity’s robotic arm-mounted Mars Hand Lens Imager (MAHLI): Characterization and calibration status","docAbstract":"<p>MAHLI (Mars Hand Lens Imager) is a 2-megapixel, Bayer pattern color CCD camera with a macro lens mounted on a rotatable turret at the end of the 2-meters-long robotic arm aboard the Mars Science Laboratory rover, Curiosity. The camera includes white and longwave ultraviolet LEDs to illuminate targets at night. Onboard data processing services include focus stack merging and data compression. Here we report on the results and status of MAHLI characterization and calibration, covering the pre-launch period from August 2008 through the early months of the extended surface mission through February 2015. Since landing in Gale crater in August 2012, MAHLI has been used for a wide range of science and engineering applications, including distinction among a variety of mafic, siliciclastic sedimentary rocks; investigation of grain-scale rock, regolith, and eolian sediment textures and structures; imaging of the landscape; inspection and monitoring of rover and science instrument hardware concerns; and supporting geologic sample selection, extraction, analysis, delivery, and documentation. The camera has a dust cover and focus mechanism actuated by a single stepper motor. The transparent cover was coated with a thin film of dust during landing, thus MAHLI is usually operated with the cover open. The camera focuses over a range from a working distance of 2.04 cm to infinity; the highest resolution images are at 13.9 µm per pixel; images acquired from 6.9 cm show features at the same scale as the Mars Exploration Rover Microscopic Imagers at 31 µm/pixel; and 100 µm/pixel is achieved at a working distance of ~26.5 cm. The very highest resolution images returned from Mars permit distinction of high contrast silt grains in the 30–40 µm size range. MAHLI has performed well; the images need no calibration in order to achieve most of the investigation’s science and engineering goals. The positioning and repeatability of robotic arm placement of the MAHLI camera head have been excellent on Mars, often with the hardware arriving within millimeters of expectation. Stability while imaging is usually such that the images are sharply focused; some exceptions—thought to result from motion induced by wind—have occurred during longer exposure LED-illuminated night imaging. Image calibration includes relative radiometric correction by removal of dark current and application of a flat field. Dark current is negligible to minor for typical daytime exposure durations and temperatures at the Gale field site. A pre-launch flat field product is usually applied to the data but new products created from images acquired by MAHLI of the Martian sky are superior and can provide a relative radiometric accuracy of ~6%. The camera lens imparts negligible distortion to its images; camera models derived from pre-launch data, with CAHV and CAHVOR parameters captured in their archived labels, can be applied to the images for analysis. MAHLI data and derived products, including pre-launch images, are archived with the NASA Planetary Data System (PDS). This report includes supplementary calibration and characterization data that are not available in the PDS archive (see supplement file MAHLITechRept0001_Supplement.zip).</p>","language":"English","publisher":"Mars Science Laboratory","doi":"10.13140/RG.2.1.3798.5447","usgsCitation":"Edgett, K., Caplinger, M.A., Maki, J.N., Ravine, M.A., Ghaemi, F., McNair, S., Herkenhoff, K.E., Duston, B.M., Wilson, R.G., Yingst, R.A., Kennedy, M.R., Minitti, M.E., Sengstacken, A.J., Supulver, K.D., Lipkaman, L.J., Krezoski, G.M., McBride, M.J., Jones, T.L., Nixon, B.E., Van Beek, J., Krysak, D.J., and Kirk, R.L., 2015, Curiosity’s robotic arm-mounted Mars Hand Lens Imager (MAHLI): Characterization and calibration status: MSL MAHLI Technical Report 0001, 102 p., https://doi.org/10.13140/RG.2.1.3798.5447.","productDescription":"102 p.","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-063280","costCenters":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"links":[{"id":320167,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"571756b0e4b0ef3b7caa5fc1","contributors":{"authors":[{"text":"Edgett, Kenneth S.","contributorId":12736,"corporation":false,"usgs":true,"family":"Edgett","given":"Kenneth S.","affiliations":[],"preferred":false,"id":622188,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Caplinger, Michael A.","contributorId":70635,"corporation":false,"usgs":true,"family":"Caplinger","given":"Michael","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":623137,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Maki, Justin N.","contributorId":30498,"corporation":false,"usgs":true,"family":"Maki","given":"Justin","email":"","middleInitial":"N.","affiliations":[],"preferred":false,"id":623138,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ravine, Michael A.","contributorId":105959,"corporation":false,"usgs":true,"family":"Ravine","given":"Michael","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":623139,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Ghaemi, F. Tony","contributorId":90586,"corporation":false,"usgs":true,"family":"Ghaemi","given":"F. Tony","affiliations":[],"preferred":false,"id":623140,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"McNair, Sean","contributorId":167688,"corporation":false,"usgs":false,"family":"McNair","given":"Sean","email":"","affiliations":[{"id":24734,"text":"Malin Space Science Systems, San Diego","active":true,"usgs":false}],"preferred":false,"id":623141,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Herkenhoff, Kenneth E. 0000-0002-3153-6663 kherkenhoff@usgs.gov","orcid":"https://orcid.org/0000-0002-3153-6663","contributorId":2275,"corporation":false,"usgs":true,"family":"Herkenhoff","given":"Kenneth","email":"kherkenhoff@usgs.gov","middleInitial":"E.","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":622187,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Duston, Brian M.","contributorId":167689,"corporation":false,"usgs":false,"family":"Duston","given":"Brian","email":"","middleInitial":"M.","affiliations":[{"id":24734,"text":"Malin Space Science Systems, San Diego","active":true,"usgs":false}],"preferred":false,"id":623142,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Wilson, Reg G.","contributorId":72250,"corporation":false,"usgs":true,"family":"Wilson","given":"Reg","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":623143,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Yingst, R. Aileen","contributorId":52827,"corporation":false,"usgs":true,"family":"Yingst","given":"R.","email":"","middleInitial":"Aileen","affiliations":[],"preferred":false,"id":623144,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Kennedy, Megan R.","contributorId":19474,"corporation":false,"usgs":true,"family":"Kennedy","given":"Megan","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":623145,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Minitti, Michelle E.","contributorId":19422,"corporation":false,"usgs":true,"family":"Minitti","given":"Michelle","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":623146,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Sengstacken, Aaron J.","contributorId":66114,"corporation":false,"usgs":true,"family":"Sengstacken","given":"Aaron","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":623147,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Supulver, Kimberley D.","contributorId":167690,"corporation":false,"usgs":false,"family":"Supulver","given":"Kimberley","email":"","middleInitial":"D.","affiliations":[{"id":24734,"text":"Malin Space Science Systems, San Diego","active":true,"usgs":false}],"preferred":false,"id":623148,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Lipkaman, Leslie J.","contributorId":167691,"corporation":false,"usgs":false,"family":"Lipkaman","given":"Leslie","email":"","middleInitial":"J.","affiliations":[{"id":24734,"text":"Malin Space Science Systems, San Diego","active":true,"usgs":false}],"preferred":false,"id":623149,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Krezoski, Gillian M.","contributorId":167692,"corporation":false,"usgs":false,"family":"Krezoski","given":"Gillian","email":"","middleInitial":"M.","affiliations":[{"id":24734,"text":"Malin Space Science Systems, San Diego","active":true,"usgs":false}],"preferred":false,"id":623150,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"McBride, Marie J.","contributorId":167693,"corporation":false,"usgs":false,"family":"McBride","given":"Marie","email":"","middleInitial":"J.","affiliations":[{"id":24734,"text":"Malin Space Science Systems, San Diego","active":true,"usgs":false}],"preferred":false,"id":623151,"contributorType":{"id":1,"text":"Authors"},"rank":17},{"text":"Jones, Tessa L.","contributorId":167694,"corporation":false,"usgs":false,"family":"Jones","given":"Tessa","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":623152,"contributorType":{"id":1,"text":"Authors"},"rank":18},{"text":"Nixon, Brian E.","contributorId":167695,"corporation":false,"usgs":false,"family":"Nixon","given":"Brian","email":"","middleInitial":"E.","affiliations":[{"id":24734,"text":"Malin Space Science Systems, San Diego","active":true,"usgs":false}],"preferred":false,"id":622189,"contributorType":{"id":1,"text":"Authors"},"rank":19},{"text":"Van Beek, Jason K.","contributorId":167696,"corporation":false,"usgs":false,"family":"Van Beek","given":"Jason K.","affiliations":[{"id":24734,"text":"Malin Space Science Systems, San Diego","active":true,"usgs":false}],"preferred":false,"id":623153,"contributorType":{"id":1,"text":"Authors"},"rank":20},{"text":"Krysak, Daniel J.","contributorId":167697,"corporation":false,"usgs":false,"family":"Krysak","given":"Daniel","email":"","middleInitial":"J.","affiliations":[{"id":24734,"text":"Malin Space Science Systems, San Diego","active":true,"usgs":false}],"preferred":false,"id":623154,"contributorType":{"id":1,"text":"Authors"},"rank":21},{"text":"Kirk, Randolph L. 0000-0003-0842-9226 rkirk@usgs.gov","orcid":"https://orcid.org/0000-0003-0842-9226","contributorId":2765,"corporation":false,"usgs":true,"family":"Kirk","given":"Randolph","email":"rkirk@usgs.gov","middleInitial":"L.","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":623155,"contributorType":{"id":1,"text":"Authors"},"rank":22}]}}
,{"id":70189613,"text":"70189613 - 2015 - Cascadia subducting plate fluids channelled to fore-arc mantle corner: ETS and silica deposition","interactions":[],"lastModifiedDate":"2018-01-30T18:43:14","indexId":"70189613","displayToPublicDate":"2015-06-19T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2312,"text":"Journal of Geophysical Research","active":true,"publicationSubtype":{"id":10}},"title":"Cascadia subducting plate fluids channelled to fore-arc mantle corner: ETS and silica deposition","docAbstract":"<p><span>In this study we first summarize the constraints that on the Cascadia subduction thrust, there is a 70 km gap downdip between the megathrust seismogenic zone and the Episodic Tremor and Slip (ETS) that lies further landward; there is not a continuous transition from unstable to conditionally stable sliding. Seismic rupture occurs mainly offshore for this hot subduction zone. ETS lies onshore. We then suggest what does control the downdip position of ETS. We conclude that fluids from dehydration of the downgoing plate, focused to rise above the fore-arc mantle corner, are responsible for ETS. There is a remarkable correspondence between the position of ETS and this corner along the whole margin. Hydrated mineral assemblages in the subducting oceanic crust and uppermost mantle are dehydrated with downdip increasing temperature, and seismic tomography data indicate that these fluids have strongly serpentinized the overlying fore-arc mantle. Laboratory data show that such fore-arc mantle serpentinite has low permeability and likely blocks vertical expulsion and restricts flow updip within the underlying permeable oceanic crust and subduction shear zone. At the fore-arc mantle corner these fluids are released upward into the more permeable overlying fore-arc crust. An indication of this fluid flux comes from low Poisson's Ratios (and&nbsp;</span><i>V<sub>p</sub></i><span>/</span><i>V<sub>s</sub></i><span>) found above the corner that may be explained by a concentration of quartz which has exceptionally low Poisson's Ratio. The rising fluids should be silica saturated and precipitate quartz with decreasing temperature and pressure as they rise above the corner.</span></p>","language":"English","publisher":"American Geophysical Union","doi":"10.1002/2015JB011920","usgsCitation":"Hyndman, R.D., McCrory, P.A., Wech, A., Kao, H., and Ague, J., 2015, Cascadia subducting plate fluids channelled to fore-arc mantle corner: ETS and silica deposition: Journal of Geophysical Research, v. 120, no. 6, p. 4344-4358, https://doi.org/10.1002/2015JB011920.","productDescription":"15 p. ","startPage":"4344","endPage":"4358","ipdsId":"IP-061356","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":344022,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"120","issue":"6","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2015-06-19","publicationStatus":"PW","scienceBaseUri":"59706fb9e4b0d1f9f065a8c1","contributors":{"authors":[{"text":"Hyndman, Roy D.","contributorId":194831,"corporation":false,"usgs":false,"family":"Hyndman","given":"Roy","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":705440,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McCrory, Patricia A. 0000-0003-2471-0018 pmccrory@usgs.gov","orcid":"https://orcid.org/0000-0003-2471-0018","contributorId":2728,"corporation":false,"usgs":true,"family":"McCrory","given":"Patricia","email":"pmccrory@usgs.gov","middleInitial":"A.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":705439,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wech, Aaron awech@usgs.gov","contributorId":194832,"corporation":false,"usgs":true,"family":"Wech","given":"Aaron","email":"awech@usgs.gov","affiliations":[],"preferred":true,"id":705441,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kao, Han","contributorId":194833,"corporation":false,"usgs":false,"family":"Kao","given":"Han","email":"","affiliations":[],"preferred":false,"id":705442,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Ague, Jay","contributorId":194834,"corporation":false,"usgs":false,"family":"Ague","given":"Jay","email":"","affiliations":[],"preferred":false,"id":705443,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70155898,"text":"70155898 - 2015 - Estimating population size for Capercaillie (<i>Tetrao urogallus</i> L.) with spatial capture-recapture models based on genotypes from one field sample","interactions":[],"lastModifiedDate":"2015-08-17T10:32:35","indexId":"70155898","displayToPublicDate":"2015-06-18T11:30:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2980,"text":"PLoS ONE","active":true,"publicationSubtype":{"id":10}},"title":"Estimating population size for Capercaillie (<i>Tetrao urogallus</i> L.) with spatial capture-recapture models based on genotypes from one field sample","docAbstract":"<p><span>We conducted a survey of an endangered and cryptic forest grouse, the capercaillie&nbsp;</span><i>Tetrao urogallus</i><span>, based on droppings collected on two sampling occasions in eight forest fragments in central Switzerland in early spring 2009. We used genetic analyses to sex and individually identify birds. We estimated sex-dependent detection probabilities and population size using a modern spatial capture-recapture (SCR) model for the data from pooled surveys. A total of 127 capercaillie genotypes were identified (77 males, 46 females, and 4 of unknown sex). The SCR model yielded atotal population size estimate (posterior mean) of 137.3 capercaillies (posterior sd 4.2, 95% CRI 130&ndash;147). The observed sex ratio was skewed towards males (0.63). The posterior mean of the sex ratio under the SCR model was 0.58 (posterior sd 0.02, 95% CRI 0.54&ndash;0.61), suggesting a male-biased sex ratio in our study area. A subsampling simulation study indicated that a reduced sampling effort representing 75% of the actual detections would still yield practically acceptable estimates of total size and sex ratio in our population. Hence, field work and financial effort could be reduced without compromising accuracy when the SCR model is used to estimate key population parameters of cryptic species.</span></p>","language":"English","publisher":"Public Library of Science","publisherLocation":"San Francisco, CA","doi":"10.1371/journal.pone.0129020","usgsCitation":"Mollet, P., Kery, M., Gardner, B., Pasinelli, G., and Royle, A., 2015, Estimating population size for Capercaillie (<i>Tetrao urogallus</i> L.) with spatial capture-recapture models based on genotypes from one field sample: PLoS ONE, v. 10, no. 6, p. 1-16, https://doi.org/10.1371/journal.pone.0129020.","productDescription":"16 p.","startPage":"1","endPage":"16","numberOfPages":"16","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-065910","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":472006,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0129020","text":"Publisher Index Page"},{"id":306781,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"10","issue":"6","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationDate":"2015-06-18","publicationStatus":"PW","scienceBaseUri":"55d305b2e4b0518e35468cf5","contributors":{"authors":[{"text":"Mollet, Pierre","contributorId":146551,"corporation":false,"usgs":false,"family":"Mollet","given":"Pierre","email":"","affiliations":[],"preferred":false,"id":568217,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kery, Marc","contributorId":38680,"corporation":false,"usgs":true,"family":"Kery","given":"Marc","affiliations":[],"preferred":false,"id":568218,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gardner, Beth","contributorId":91612,"corporation":false,"usgs":false,"family":"Gardner","given":"Beth","affiliations":[{"id":13553,"text":"University of Washington-Seattle","active":true,"usgs":false}],"preferred":false,"id":568219,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Pasinelli, Gilberto","contributorId":146552,"corporation":false,"usgs":false,"family":"Pasinelli","given":"Gilberto","email":"","affiliations":[],"preferred":false,"id":568220,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Royle, J. Andrew 0000-0003-3135-2167 aroyle@usgs.gov","orcid":"https://orcid.org/0000-0003-3135-2167","contributorId":146229,"corporation":false,"usgs":true,"family":"Royle","given":"J. Andrew","email":"aroyle@usgs.gov","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":566695,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70155960,"text":"70155960 - 2015 - Landscape genomics of Sphaeralcea ambigua in the Mojave Desert: a multivariate, spatially-explicit approach to guide ecological restoration","interactions":[],"lastModifiedDate":"2015-11-09T11:41:53","indexId":"70155960","displayToPublicDate":"2015-06-18T03:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1324,"text":"Conservation Genetics","active":true,"publicationSubtype":{"id":10}},"title":"Landscape genomics of Sphaeralcea ambigua in the Mojave Desert: a multivariate, spatially-explicit approach to guide ecological restoration","docAbstract":"<p>Local adaptation influences plant species&rsquo; responses to climate change and their performance in ecological restoration. Fine-scale physiological or phenological adaptations that direct demographic processes may drive intraspecific variability when baseline environmental conditions change. Landscape genomics characterize adaptive differentiation by identifying environmental drivers of adaptive genetic variability and mapping the associated landscape patterns. We applied such an approach to <i class=\"EmphasisTypeItalic\">Sphaeralcea ambigua</i>, an important restoration plant in the arid southwestern United States, by analyzing variation at 153 amplified fragment length polymorphism loci in the context of environmental gradients separating 47 Mojave Desert populations. We identified 37 potentially adaptive loci through a combination of genome scan approaches. We then used a generalized dissimilarity model (GDM) to relate variability in potentially adaptive loci with spatial gradients in temperature, precipitation, and topography. We identified non-linear thresholds in loci frequencies driven by summer maximum temperature and water stress, along with continuous variation corresponding to temperature seasonality. Two GDM-based approaches for mapping predicted patterns of local adaptation are compared. Additionally, we assess uncertainty in spatial interpolations through a novel spatial bootstrapping approach. Our study presents robust, accessible methods for deriving spatially-explicit models of adaptive genetic variability in non-model species that will inform climate change modelling and ecological restoration.</p>","language":"English","publisher":"Springer","doi":"10.1007/s10592-015-0741-1","usgsCitation":"Shryock, D.F., Havrilla, C.A., DeFalco, L., Esque, T., Custer, N., and Wood, T.E., 2015, Landscape genomics of Sphaeralcea ambigua in the Mojave Desert: a multivariate, spatially-explicit approach to guide ecological restoration: Conservation Genetics, v. 16, no. 6, p. 1303-1317, https://doi.org/10.1007/s10592-015-0741-1.","productDescription":"15 p.","startPage":"1303","endPage":"1317","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-062958","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":306668,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California, Nevada","otherGeospatial":"Mojave Desert ecogregion","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -118.14697265625,\n              33.284619968887704\n            ],\n            [\n              -118.14697265625,\n              37.68382032669382\n            ],\n            [\n              -111.81884765624999,\n              37.68382032669382\n            ],\n            [\n              -111.81884765624999,\n              33.284619968887704\n            ],\n            [\n              -118.14697265625,\n              33.284619968887704\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"16","issue":"6","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationDate":"2015-06-18","publicationStatus":"PW","scienceBaseUri":"55cdbfb7e4b08400b1fe140e","contributors":{"authors":[{"text":"Shryock, Daniel F. dshryock@usgs.gov","contributorId":5139,"corporation":false,"usgs":true,"family":"Shryock","given":"Daniel","email":"dshryock@usgs.gov","middleInitial":"F.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":567428,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Havrilla, Caroline A. 0000-0003-3913-0980","orcid":"https://orcid.org/0000-0003-3913-0980","contributorId":146326,"corporation":false,"usgs":true,"family":"Havrilla","given":"Caroline","email":"","middleInitial":"A.","affiliations":[{"id":16669,"text":"U of CO, Boulder","active":true,"usgs":false},{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":false,"id":567429,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"DeFalco, Lesley ldefalco@usgs.gov","contributorId":139012,"corporation":false,"usgs":true,"family":"DeFalco","given":"Lesley","email":"ldefalco@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":false,"id":567427,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Esque, Todd C. tesque@usgs.gov","contributorId":145679,"corporation":false,"usgs":true,"family":"Esque","given":"Todd C.","email":"tesque@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":false,"id":567430,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Custer, Nathan ncuster@usgs.gov","contributorId":5561,"corporation":false,"usgs":true,"family":"Custer","given":"Nathan","email":"ncuster@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":567431,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Wood, Troy E. 0000-0002-1533-5714 twood@usgs.gov","orcid":"https://orcid.org/0000-0002-1533-5714","contributorId":4023,"corporation":false,"usgs":true,"family":"Wood","given":"Troy","email":"twood@usgs.gov","middleInitial":"E.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true},{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":567432,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70190054,"text":"70190054 - 2015 - Vertical deformation through a complete seismic cycle at Isla Santa María, Chile","interactions":[],"lastModifiedDate":"2021-08-30T16:21:29.619833","indexId":"70190054","displayToPublicDate":"2015-06-18T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2845,"text":"Nature Geoscience","active":true,"publicationSubtype":{"id":10}},"title":"Vertical deformation through a complete seismic cycle at Isla Santa María, Chile","docAbstract":"<p><span>Individual great earthquakes are posited to release the elastic strain energy that has accumulated over centuries by the gradual movement of tectonic plates</span><sup><a id=\"ref-link-2\" title=\"Reid, H. F. The California Earthquake of April 18, 1906: The Mechanics of the Earthquake (Carnegie Inst., 1910).\" href=\"https://www.nature.com/ngeo/journal/v8/n7/full/ngeo2468.html#ref1\" data-mce-href=\"https://www.nature.com/ngeo/journal/v8/n7/full/ngeo2468.html#ref1\">1</a>,<span>&nbsp;</span><a id=\"ref-link-3\" title=\"Savage, J. C. A dislocation model of strain accumulation and release at a subduction zone. J. Geophys. Res. 88, 4984-4996 (1983).\" href=\"https://www.nature.com/ngeo/journal/v8/n7/full/ngeo2468.html#ref2\" data-mce-href=\"https://www.nature.com/ngeo/journal/v8/n7/full/ngeo2468.html#ref2\">2</a></sup><span>. However, knowledge of plate deformation during a complete seismic cycle—two successive great earthquakes and the intervening interseismic period—remains incomplete</span><sup><a id=\"ref-link-4\" title=\"Wang, K., Hu, Y. &amp; He, J. Deformation cycles of subduction earthquakes in a viscoelastic Earth. Nature 484, 327-332 (2012).\" href=\"https://www.nature.com/ngeo/journal/v8/n7/full/ngeo2468.html#ref3\" data-mce-href=\"https://www.nature.com/ngeo/journal/v8/n7/full/ngeo2468.html#ref3\">3</a></sup><span>. A complete seismic cycle began in south-central Chile in 1835 with an earthquake of about magnitude 8.5 (refs&nbsp;</span><a id=\"ref-link-5\" title=\"Darwin, C. Narrative of the Surveying Voyages of His Majesty[rsquor]s Ships Adventure and Beagle, Between the Years 1826 and 1836: Journal and Remarks, 1832-1836 Vol. 3 (Henry Colburn, 1839).\" href=\"https://www.nature.com/ngeo/journal/v8/n7/full/ngeo2468.html#ref4\" data-mce-href=\"https://www.nature.com/ngeo/journal/v8/n7/full/ngeo2468.html#ref4\">4</a><span>,<span>&nbsp;</span></span><a id=\"ref-link-6\" title=\"FitzRoy, R. Narrative of the Surveying Voyages of his Majesty[rsquor]s Ships Adventure and Beagle, Between the Years 1826 and 1836, Proceedings of the Second Expedition, 1831-1836 Vol. 2 (Henry Colburn, 1839).\" href=\"https://www.nature.com/ngeo/journal/v8/n7/full/ngeo2468.html#ref5\" data-mce-href=\"https://www.nature.com/ngeo/journal/v8/n7/full/ngeo2468.html#ref5\">5</a><span>) and ended in 2010 with a magnitude 8.8 earthquake</span><sup><a id=\"ref-link-7\" title=\"Vigny, C. et al. The 2010 M-w 8.8 Maule megathrust earthquake of central Chile, monitored by GPS. Science 332, 1417-1421 (2011).\" href=\"https://www.nature.com/ngeo/journal/v8/n7/full/ngeo2468.html#ref6\" data-mce-href=\"https://www.nature.com/ngeo/journal/v8/n7/full/ngeo2468.html#ref6\">6</a></sup><span>. During the first earthquake, an uplift of Isla Santa María by 2.4 to 3 m was documented</span><sup><a id=\"ref-link-8\" title=\"Darwin, C. Narrative of the Surveying Voyages of His Majesty[rsquor]s Ships Adventure and Beagle, Between the Years 1826 and 1836: Journal and Remarks, 1832-1836 Vol. 3 (Henry Colburn, 1839).\" href=\"https://www.nature.com/ngeo/journal/v8/n7/full/ngeo2468.html#ref4\" data-mce-href=\"https://www.nature.com/ngeo/journal/v8/n7/full/ngeo2468.html#ref4\">4</a>,<span>&nbsp;</span><a id=\"ref-link-9\" title=\"FitzRoy, R. Narrative of the Surveying Voyages of his Majesty[rsquor]s Ships Adventure and Beagle, Between the Years 1826 and 1836, Proceedings of the Second Expedition, 1831-1836 Vol. 2 (Henry Colburn, 1839).\" href=\"https://www.nature.com/ngeo/journal/v8/n7/full/ngeo2468.html#ref5\" data-mce-href=\"https://www.nature.com/ngeo/journal/v8/n7/full/ngeo2468.html#ref5\">5</a></sup><span>. In the second earthquake, the island was uplifted</span><sup><a id=\"ref-link-10\" title=\"Moreno, M. et al. Toward understanding tectonic control on the Mw 8.8 2010 Maule Chile earthquake. Earth Planet. Sci. Lett. 321-322, 152-165 (2012).\" href=\"https://www.nature.com/ngeo/journal/v8/n7/full/ngeo2468.html#ref7\" data-mce-href=\"https://www.nature.com/ngeo/journal/v8/n7/full/ngeo2468.html#ref7\">7</a></sup><span><span>&nbsp;</span>by 1.8 m. Here we use nautical surveys made in 1804, after the earthquake in 1835 and in 1886, together with modern echo sounder surveys and GPS measurements made immediately before and after the 2010 earthquake, to quantify vertical deformation through the complete seismic cycle. We find that in the period between the two earthquakes, Isla Santa María subsided by about 1.4 m. We simulate the patterns of vertical deformation with a finite-element model and find that they agree broadly with predictions from elastic rebound theory</span><sup><a id=\"ref-link-11\" title=\"Savage, J. C. A dislocation model of strain accumulation and release at a subduction zone. J. Geophys. Res. 88, 4984-4996 (1983).\" href=\"https://www.nature.com/ngeo/journal/v8/n7/full/ngeo2468.html#ref2\" data-mce-href=\"https://www.nature.com/ngeo/journal/v8/n7/full/ngeo2468.html#ref2\">2</a></sup><span>. However, comparison with geomorphic and geologic records of millennial coastline emergence</span><sup><a id=\"ref-link-12\" title=\"Bookhagen, B., Echtler, H., Melnick, D., Strecker, M. &amp; Spencer, J. Using uplifted Holocene beach berms for paleoseismic analysis on the Santa Maria Island, south-central Chile. Geophys. Res. Lett. 33, L15302 (2006).\" href=\"https://www.nature.com/ngeo/journal/v8/n7/full/ngeo2468.html#ref8\" data-mce-href=\"https://www.nature.com/ngeo/journal/v8/n7/full/ngeo2468.html#ref8\">8</a>,<span>&nbsp;</span><a id=\"ref-link-13\" title=\"Jara-Munoz, J. &amp; Melnick, D. Unraveling sea-level variations and tectonic uplift in wave-built marine terraces, Santa Maria Island, Chile. Quat. Res. 83, 216-228 (2015).\" href=\"https://www.nature.com/ngeo/journal/v8/n7/full/ngeo2468.html#ref9\" data-mce-href=\"https://www.nature.com/ngeo/journal/v8/n7/full/ngeo2468.html#ref9\">9</a></sup><span><span>&nbsp;</span>reveal that 10–20% of the vertical uplift could be permanent.</span></p>","language":"English","publisher":"Nature","doi":"10.1038/ngeo2468","usgsCitation":"Wesson, R.L., Melnick, D., Cisternas, M., Moreno, M., and Ely, L., 2015, Vertical deformation through a complete seismic cycle at Isla Santa María, Chile: Nature Geoscience, v. 8, p. 547-551, https://doi.org/10.1038/ngeo2468.","productDescription":"5 p.","startPage":"547","endPage":"551","ipdsId":"IP-065712","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":344685,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Chile","otherGeospatial":"Isla Santa María","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -73.5919189453125,\n              -37.092430683283474\n            ],\n            [\n              -73.45046997070312,\n              -37.092430683283474\n            ],\n            [\n              -73.45046997070312,\n              -36.96251177659819\n            ],\n            [\n              -73.5919189453125,\n              -36.96251177659819\n            ],\n            [\n              -73.5919189453125,\n              -37.092430683283474\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"8","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2015-06-22","publicationStatus":"PW","scienceBaseUri":"598acddde4b09fa1cb0e13de","contributors":{"authors":[{"text":"Wesson, Robert L. 0000-0003-2702-0012 rwesson@usgs.gov","orcid":"https://orcid.org/0000-0003-2702-0012","contributorId":850,"corporation":false,"usgs":true,"family":"Wesson","given":"Robert","email":"rwesson@usgs.gov","middleInitial":"L.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":707343,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Melnick, Daniel","contributorId":195525,"corporation":false,"usgs":false,"family":"Melnick","given":"Daniel","email":"","affiliations":[],"preferred":false,"id":707344,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cisternas, Marco","contributorId":195526,"corporation":false,"usgs":false,"family":"Cisternas","given":"Marco","affiliations":[],"preferred":false,"id":707345,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Moreno, Marcos","contributorId":195527,"corporation":false,"usgs":false,"family":"Moreno","given":"Marcos","email":"","affiliations":[],"preferred":false,"id":707346,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Ely, Lisa","contributorId":195528,"corporation":false,"usgs":false,"family":"Ely","given":"Lisa","affiliations":[],"preferred":false,"id":707347,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70097572,"text":"sir20105070M - 2015 - Sediment-hosted stratabound copper deposit model","interactions":[],"lastModifiedDate":"2021-08-31T15:26:02.154065","indexId":"sir20105070M","displayToPublicDate":"2015-06-17T15:45:00","publicationYear":"2015","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2010-5070","chapter":"M","title":"Sediment-hosted stratabound copper deposit model","docAbstract":"<p><span>This report contains a descriptive model of sediment-hosted stratabound copper (SSC) deposits that supersedes the model of Cox and others (2003). This model is for use in assessments of mineral resource potential. SSC deposits are the second most important sources of copper in the world behind porphyry copper deposits. Around 20 percent of the copper in the world is produced from this class of deposits. They are also the most important sources of cobalt in the world, and they are fourth among classes of ore deposits in production of silver. SSC deposits are the basis of the economies of three countries: Democratic Republic of Congo, Poland, and Zambia. This report provides a description of the key features of SSC deposits; it identifies their tectonic-sedimentary environments; it illustrates geochemical, geophysical, and geoenvironmental characteristics of SSC deposits; it reviews and evaluates hypotheses on how these deposits formed; it presents exploration and assessment guides; and it lists some gaps in our knowledge about the SSC deposits. A summary follows that provides overviews of many subjects concerning SSC deposits.</span></p>","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"Mineral deposit model for resource assessment (Scientific Investigations Report 2010-5070)","largerWorkSubtype":{"id":5,"text":"USGS Numbered Series"},"language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20105070M","usgsCitation":"Hayes, T.S., Cox, D.P., Bliss, J.D., Piatak, N., and Seal,, R., 2015, Sediment-hosted stratabound copper deposit model: U.S. Geological Survey Scientific Investigations Report 2010-5070, x, 147 p., https://doi.org/10.3133/sir20105070M.","productDescription":"x, 147 p.","startPage":"147","numberOfPages":"161","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-026182","costCenters":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"links":[{"id":301284,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20105070m.jpg"},{"id":301282,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2010/5070/m/"},{"id":301283,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2010/5070/m/pdf/sir2010-5070m.pdf","text":"Report","size":"110 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Report"}],"publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"55828c24e4b023124e8f3fb2","contributors":{"authors":[{"text":"Hayes, Timothy S. thayes@usgs.gov","contributorId":1547,"corporation":false,"usgs":true,"family":"Hayes","given":"Timothy","email":"thayes@usgs.gov","middleInitial":"S.","affiliations":[{"id":662,"text":"Western Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":548836,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cox, Dennis P. dcox@usgs.gov","contributorId":2766,"corporation":false,"usgs":true,"family":"Cox","given":"Dennis","email":"dcox@usgs.gov","middleInitial":"P.","affiliations":[],"preferred":true,"id":548831,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bliss, James D. jbliss@usgs.gov","contributorId":2790,"corporation":false,"usgs":true,"family":"Bliss","given":"James","email":"jbliss@usgs.gov","middleInitial":"D.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":548832,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Piatak, Nadine M. 0000-0002-1973-8537 npiatak@usgs.gov","orcid":"https://orcid.org/0000-0002-1973-8537","contributorId":141203,"corporation":false,"usgs":true,"family":"Piatak","given":"Nadine M.","email":"npiatak@usgs.gov","affiliations":[],"preferred":false,"id":548834,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Seal,, Robert R. II 0000-0003-0901-2529 rseal@usgs.gov","orcid":"https://orcid.org/0000-0003-0901-2529","contributorId":141204,"corporation":false,"usgs":true,"family":"Seal,","given":"Robert R.","suffix":"II","email":"rseal@usgs.gov","affiliations":[{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":548835,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70148594,"text":"70148594 - 2015 - A century of oilfield operations and earthquakes in the greater Los Angeles Basin, southern California","interactions":[],"lastModifiedDate":"2015-06-17T11:47:34","indexId":"70148594","displayToPublicDate":"2015-06-17T12:45:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3568,"text":"The Leading Edge","active":true,"publicationSubtype":{"id":10}},"title":"A century of oilfield operations and earthquakes in the greater Los Angeles Basin, southern California","docAbstract":"<p><span>Most of the seismicity in the Los Angeles Basin (LA Basin) occurs at depth below the sediments and is caused by transpressional tectonics related to the big bend in the San Andreas fault. However, some of the seismicity could be associated with fluid extraction or injection in oil fields that have been in production for almost a century and cover &sim; 17% of the basin. In a recent study, first the influence of industry operations was evaluated by analyzing seismicity characteristics, including normalized seismicity rates, focal depths, and&nbsp;</span><i>b</i><span>-values, but no significant difference was found in seismicity characteristics inside and outside the oil fields. In addition, to identify possible temporal correlations, the seismicity and available monthly fluid extraction and injection volumes since 1977 were analyzed. Second, the production and deformation history of the Wilmington oil field were used to evaluate whether other oil fields are likely to experience similar surface deformation in the future. Third, the maximum earthquake magnitudes of events within the perimeters of the oil fields were analyzed to see whether they correlate with total net injected volumes, as suggested by previous studies. Similarly, maximum magnitudes were examined to see whether they exhibit an increase with net extraction volume. Overall, no obvious previously unidentified induced earthquakes were found, and the management of balanced production and injection of fluids appears to reduce the risk of induced-earthquake activity in the oil fields.</span></p>","language":"English","publisher":"Society of Exploration Geophysics","doi":"10.1190/tle34060650.1","usgsCitation":"Hauksson, E., Goebel, T., Ampuero, J., and Cochran, E.S., 2015, A century of oilfield operations and earthquakes in the greater Los Angeles Basin, southern California: The Leading Edge, v. 34, p. 650-656, https://doi.org/10.1190/tle34060650.1.","productDescription":"17 p.","startPage":"650","endPage":"656","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-062978","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":301279,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Los Angeles Basin","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -118.6083984375,\n              33.62376800118814\n            ],\n            [\n              -118.6083984375,\n              34.1890858311724\n            ],\n            [\n              -117.22412109375,\n              34.1890858311724\n            ],\n            [\n              -117.22412109375,\n              33.62376800118814\n            ],\n            [\n              -118.6083984375,\n              33.62376800118814\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"34","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"55828c1ce4b023124e8f3f92","contributors":{"authors":[{"text":"Hauksson, Egill","contributorId":48174,"corporation":false,"usgs":false,"family":"Hauksson","given":"Egill","affiliations":[{"id":27150,"text":"Seismological Laboratory, California Institute of Technology, Pasadena, CA, USA","active":true,"usgs":false}],"preferred":false,"id":548801,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Goebel, Thomas","contributorId":43982,"corporation":false,"usgs":true,"family":"Goebel","given":"Thomas","affiliations":[],"preferred":false,"id":548802,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ampuero, Jean-Paul","contributorId":141194,"corporation":false,"usgs":false,"family":"Ampuero","given":"Jean-Paul","email":"","affiliations":[{"id":13711,"text":"Caltech","active":true,"usgs":false}],"preferred":false,"id":548803,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Cochran, Elizabeth S. 0000-0003-2485-4484 ecochran@usgs.gov","orcid":"https://orcid.org/0000-0003-2485-4484","contributorId":2025,"corporation":false,"usgs":true,"family":"Cochran","given":"Elizabeth","email":"ecochran@usgs.gov","middleInitial":"S.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":548800,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70148595,"text":"70148595 - 2015 - On the reliability of Quake-Catcher Network earthquake detections","interactions":[],"lastModifiedDate":"2015-06-17T11:41:44","indexId":"70148595","displayToPublicDate":"2015-06-17T12:30:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3372,"text":"Seismological Research Letters","onlineIssn":"1938-2057","printIssn":"0895-0695","active":true,"publicationSubtype":{"id":10}},"title":"On the reliability of Quake-Catcher Network earthquake detections","docAbstract":"<p><span>Over the past two decades, there have been several initiatives to create volunteer‐based seismic networks. The Personal Seismic Network, proposed around 1990, used a short‐period seismograph to record earthquake waveforms using existing phone lines (</span><a id=\"xref-ref-13-1\" class=\"xref-bibr\" href=\"http://srl.geoscienceworld.org/content/86/3/856.full#ref-13\">Cranswick and Banfill, 1990</a><span>;&nbsp;</span><a id=\"xref-ref-14-1\" class=\"xref-bibr\" href=\"http://srl.geoscienceworld.org/content/86/3/856.full#ref-14\">Cranswick<i>et&nbsp;al.</i>, 1993</a><span>). NetQuakes (</span><a id=\"xref-ref-26-1\" class=\"xref-bibr\" href=\"http://srl.geoscienceworld.org/content/86/3/856.full#ref-26\">Luetgert&nbsp;<i>et&nbsp;al.</i>, 2010</a><span>) deploys triaxial Micro‐Electromechanical Systems (MEMS) sensors in private homes, businesses, and public buildings where there is an Internet connection. Other seismic networks using a dense array of low‐cost MEMS sensors are the Community Seismic Network (</span><a id=\"xref-ref-9-1\" class=\"xref-bibr\" href=\"http://srl.geoscienceworld.org/content/86/3/856.full#ref-9\">Clayton&nbsp;<i>et&nbsp;al.</i>, 2012</a><span>;&nbsp;</span><a id=\"xref-ref-22-1\" class=\"xref-bibr\" href=\"http://srl.geoscienceworld.org/content/86/3/856.full#ref-22\">Kohler&nbsp;<i>et&nbsp;al.</i>, 2013</a><span>) and the Home Seismometer Network (</span><a id=\"xref-ref-21-1\" class=\"xref-bibr\" href=\"http://srl.geoscienceworld.org/content/86/3/856.full#ref-21\">Horiuchi&nbsp;<i>et&nbsp;al.</i>, 2009</a><span>). One main advantage of combining low‐cost MEMS sensors and existing Internet connection in public and private buildings over the traditional networks is the reduction in installation and maintenance costs (</span><a id=\"xref-ref-23-1\" class=\"xref-bibr\" href=\"http://srl.geoscienceworld.org/content/86/3/856.full#ref-23\">Koide&nbsp;<i>et&nbsp;al.</i>, 2006</a><span>). In doing so, it is possible to create a dense seismic network for a fraction of the cost of traditional seismic networks (</span><a id=\"xref-ref-16-1\" class=\"xref-bibr\" href=\"http://srl.geoscienceworld.org/content/86/3/856.full#ref-16\">D&rsquo;Alessandro and D&rsquo;Anna, 2013</a><span>;&nbsp;</span><a id=\"xref-ref-15-1\" class=\"xref-bibr\" href=\"http://srl.geoscienceworld.org/content/86/3/856.full#ref-15\">D&rsquo;Alessandro, 2014</a><span>;&nbsp;</span><a id=\"xref-ref-17-1\" class=\"xref-bibr\" href=\"http://srl.geoscienceworld.org/content/86/3/856.full#ref-17\">D&rsquo;Alessandro&nbsp;<i>et&nbsp;al.</i>, 2014</a><span>).</span></p>","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0220140218","usgsCitation":"Yildirim, B., Cochran, E.S., Chung, A., Christensen, C.M., and Lawrence, J.F., 2015, On the reliability of Quake-Catcher Network earthquake detections: Seismological Research Letters, v. 86, p. 856-869, https://doi.org/10.1785/0220140218.","productDescription":"14 p.","startPage":"856","endPage":"869","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-060617","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":301278,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"86","edition":"3","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2015-04-01","publicationStatus":"PW","scienceBaseUri":"55828c23e4b023124e8f3fae","contributors":{"authors":[{"text":"Yildirim, Battalgazi","contributorId":141195,"corporation":false,"usgs":false,"family":"Yildirim","given":"Battalgazi","email":"","affiliations":[{"id":6986,"text":"Stanford University","active":true,"usgs":false}],"preferred":false,"id":548805,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cochran, Elizabeth S. 0000-0003-2485-4484 ecochran@usgs.gov","orcid":"https://orcid.org/0000-0003-2485-4484","contributorId":2025,"corporation":false,"usgs":true,"family":"Cochran","given":"Elizabeth","email":"ecochran@usgs.gov","middleInitial":"S.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":548804,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Chung, Angela","contributorId":141196,"corporation":false,"usgs":false,"family":"Chung","given":"Angela","affiliations":[{"id":6986,"text":"Stanford University","active":true,"usgs":false}],"preferred":false,"id":548806,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Christensen, Carl M.","contributorId":141197,"corporation":false,"usgs":false,"family":"Christensen","given":"Carl","email":"","middleInitial":"M.","affiliations":[{"id":6986,"text":"Stanford University","active":true,"usgs":false}],"preferred":false,"id":548807,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Lawrence, Jesse F.","contributorId":141198,"corporation":false,"usgs":false,"family":"Lawrence","given":"Jesse","email":"","middleInitial":"F.","affiliations":[{"id":6986,"text":"Stanford University","active":true,"usgs":false}],"preferred":false,"id":548808,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70148596,"text":"70148596 - 2015 - Improved rapid magnitude estimation for a community-based, low-cost MEMS accelerometer network","interactions":[],"lastModifiedDate":"2017-01-11T16:10:20","indexId":"70148596","displayToPublicDate":"2015-06-17T12:30:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1135,"text":"Bulletin of the Seismological Society of America","onlineIssn":"1943-3573","printIssn":"0037-1106","active":true,"publicationSubtype":{"id":10}},"title":"Improved rapid magnitude estimation for a community-based, low-cost MEMS accelerometer network","docAbstract":"<p><span>Immediately following the </span><i>M</i><sub>w</sub><span>&nbsp;7.2 Darfield, New Zealand, earthquake, over 180 Quake‐Catcher Network (QCN) low‐cost micro‐electro‐mechanical systems accelerometers were deployed in the Canterbury region. Using data recorded by this dense network from 2010 to 2013, we significantly improved the QCN rapid magnitude estimation relationship. The previous scaling relationship (</span><span id=\"xref-ref-15-1\" class=\"xref-bibr\">Lawrence <i>et&nbsp;al.</i>, 2014</span><span>) did not accurately estimate the magnitudes of nearby (&lt;35  km) events. The new scaling relationship estimates earthquake magnitudes within 1 magnitude unit of the GNS Science GeoNet earthquake catalog magnitudes for 99% of the events tested, within 0.5 magnitude units for 90% of the events, and within 0.25 magnitude units for 57% of the events. These magnitudes are reliably estimated within 3&nbsp;s of the initial trigger recorded on at least seven stations. In this report, we present the methods used to calculate a new scaling relationship and demonstrate the accuracy of the revised magnitude estimates using a program that is able to retrospectively estimate event magnitudes using archived data.</span></p>","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0120140232","usgsCitation":"Chung, A., Cochran, E.S., Kaiser, A.E., Christensen, C.M., Yildirim, B., and Lawrence, J.F., 2015, Improved rapid magnitude estimation for a community-based, low-cost MEMS accelerometer network: Bulletin of the Seismological Society of America, v. 105, no. 3, p. 1314-1323, https://doi.org/10.1785/0120140232.","productDescription":"10 p.","startPage":"1314","endPage":"1323","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-058446","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":301277,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"105","issue":"3","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2015-05-20","publicationStatus":"PW","scienceBaseUri":"55828c22e4b023124e8f3fa6","contributors":{"authors":[{"text":"Chung, Angela","contributorId":141196,"corporation":false,"usgs":false,"family":"Chung","given":"Angela","affiliations":[{"id":6986,"text":"Stanford University","active":true,"usgs":false}],"preferred":false,"id":548810,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cochran, Elizabeth S. 0000-0003-2485-4484 ecochran@usgs.gov","orcid":"https://orcid.org/0000-0003-2485-4484","contributorId":2025,"corporation":false,"usgs":true,"family":"Cochran","given":"Elizabeth","email":"ecochran@usgs.gov","middleInitial":"S.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":548809,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kaiser, Anna E.","contributorId":141200,"corporation":false,"usgs":false,"family":"Kaiser","given":"Anna","email":"","middleInitial":"E.","affiliations":[{"id":6956,"text":"GNS Science/Massey University","active":true,"usgs":false}],"preferred":false,"id":548811,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Christensen, Carl M.","contributorId":141197,"corporation":false,"usgs":false,"family":"Christensen","given":"Carl","email":"","middleInitial":"M.","affiliations":[{"id":6986,"text":"Stanford University","active":true,"usgs":false}],"preferred":false,"id":548812,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Yildirim, Battalgazi","contributorId":141195,"corporation":false,"usgs":false,"family":"Yildirim","given":"Battalgazi","email":"","affiliations":[{"id":6986,"text":"Stanford University","active":true,"usgs":false}],"preferred":false,"id":548813,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Lawrence, Jesse F.","contributorId":141198,"corporation":false,"usgs":false,"family":"Lawrence","given":"Jesse","email":"","middleInitial":"F.","affiliations":[{"id":6986,"text":"Stanford University","active":true,"usgs":false}],"preferred":false,"id":548814,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70148577,"text":"70148577 - 2015 - Encapsulating model complexity and landscape-scale analyses of state-and-transition simulation models: an application of ecoinformatics and juniper encroachment in sagebrush steppe ecosystems","interactions":[],"lastModifiedDate":"2015-09-16T09:27:50","indexId":"70148577","displayToPublicDate":"2015-06-17T12:15:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3893,"text":"AIMS Environmental Science","active":true,"publicationSubtype":{"id":10}},"title":"Encapsulating model complexity and landscape-scale analyses of state-and-transition simulation models: an application of ecoinformatics and juniper encroachment in sagebrush steppe ecosystems","docAbstract":"<p><span>State-and-transition simulation modeling relies on knowledge of vegetation composition and structure (states) that describe community conditions, mechanistic feedbacks such as fire that can affect vegetation establishment, and ecological processes that drive community conditions as well as the transitions between these states. However, as the need for modeling larger and more complex landscapes increase, a more advanced awareness of computing resources becomes essential. The objectives of this study include identifying challenges of executing state-and-transition simulation models, identifying common bottlenecks of computing resources, developing a workflow and software that enable parallel processing of Monte Carlo simulations, and identifying the advantages and disadvantages of different computing resources. To address these objectives, this study used the ApexRMS&reg; SyncroSim software and embarrassingly parallel tasks of Monte Carlo simulations on a single multicore computer and on distributed computing systems. The results demonstrated that state-and-transition simulation models scale best in distributed computing environments, such as high-throughput and high-performance computing, because these environments disseminate the workloads across many compute nodes, thereby supporting analysis of larger landscapes, higher spatial resolution vegetation products, and more complex models. Using a case study and five different computing environments, the top result (high-throughput computing versus serial computations) indicated an approximate 96.6% decrease of computing time. With a single, multicore compute node (bottom result), the computing time indicated an 81.8% decrease relative to using serial computations. These results provide insight into the tradeoffs of using different computing resources when research necessitates advanced integration of ecoinformatics incorporating large and complicated data inputs and models. - See more at: http://aimspress.com/aimses/ch/reader/view_abstract.aspx?file_no=Environ2015030&amp;flag=1#sthash.p1XKDtF8.dpuf</span></p>","language":"English","publisher":"AIMS Press","doi":"10.3934/environsci.2015.3.464","usgsCitation":"O’Donnell, M.S., 2015, Encapsulating model complexity and landscape-scale analyses of state-and-transition simulation models: an application of ecoinformatics and juniper encroachment in sagebrush steppe ecosystems: AIMS Environmental Science, v. 2, no. 3, p. 464-493, https://doi.org/10.3934/environsci.2015.3.464.","productDescription":"30 p.","startPage":"464","endPage":"493","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-062986","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":472008,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3934/environsci.2015.3.464","text":"Publisher Index Page"},{"id":301276,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"2","issue":"3","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"55828c21e4b023124e8f3fa0","contributors":{"authors":[{"text":"O’Donnell, Michael S. 0000-0002-3488-003X odonnellm@usgs.gov","orcid":"https://orcid.org/0000-0002-3488-003X","contributorId":140876,"corporation":false,"usgs":true,"family":"O’Donnell","given":"Michael","email":"odonnellm@usgs.gov","middleInitial":"S.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":548708,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
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