{"pageNumber":"601","pageRowStart":"15000","pageSize":"25","recordCount":46681,"records":[{"id":70187522,"text":"70187522 - 2012 - Interactive terrain visualization enables virtual field work during rapid scientific response to the 2010 Haiti earthquake","interactions":[],"lastModifiedDate":"2017-05-09T16:19:52","indexId":"70187522","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1820,"text":"Geosphere","active":true,"publicationSubtype":{"id":10}},"title":"Interactive terrain visualization enables virtual field work during rapid scientific response to the 2010 Haiti earthquake","docAbstract":"<p><span>The moment magnitude (M</span><sub>w</sub><span>) 7.0 12 January 2010 Haiti earthquake is the first major earthquake for which a large-footprint LiDAR (light detection and ranging) survey was acquired within several weeks of the event. Here, we describe the use of virtual reality data visualization to analyze massive amounts (67 GB on disk) of multiresolution terrain data during the rapid scientific response to a major natural disaster. In particular, we describe a method for conducting virtual field work using both desktop computers and a 4-sided, 22 m</span><sup>3</sup><span> CAVE immersive virtual reality environment, along with KeckCAVES (Keck Center for Active Visualization in the Earth Sciences) software tools LiDAR Viewer, to analyze LiDAR point-cloud data, and Crusta, for 2.5 dimensional surficial geologic mapping on a bare-earth digital elevation model. This system enabled virtual field work that yielded remote observations of the topographic expression of active faulting within an ∼75-km-long section of the eastern Enriquillo–Plantain Garden fault spanning the 2010 epicenter. Virtual field observations indicated that the geomorphic evidence of active faulting and ancient surface rupture varies along strike. Landform offsets of 6–50 m along the Enriquillo–Plantain Garden fault east of the 2010 epicenter and closest to Port-au-Prince attest to repeated recent surface-rupturing earthquakes there. In the west, the fault trace is well defined by displaced landforms, but it is not as clear as in the east. The 2010 epicenter is within a transition zone between these sections that extends from Grand Goâve in the west to Fayette in the east. Within this transition, between L'Acul (lat 72°40′W) and the Rouillone River (lat 72°35′W), the Enriquillo–Plantain Garden fault is undefined along an embayed low-relief range front, with little evidence of recent surface rupture. Based on the geometry of the eastern and western faults that show evidence of recent surface rupture, we propose that the 2010 event occurred within a stepover that appears to have served as a long-lived boundary between rupture segments, explaining the lack of 2010 surface rupture. This study demonstrates how virtual reality–based data visualization has the potential to transform rapid scientific response by enabling virtual field studies and real-time interactive analysis of massive terrain data sets.</span></p>","language":"English","publisher":"Geological Society of America","doi":"10.1130/GES00687.1","usgsCitation":"Cowgill, E., Bernardin, T.S., Oskin, M.E., Bowles, C., Yikilmaz, M.B., Kreylos, O., Elliott, A., Bishop, S., Gold, R.D., Morelan, A., Bawden, G.W., Hamann, B., and Kellogg, L., 2012, Interactive terrain visualization enables virtual field work during rapid scientific response to the 2010 Haiti earthquake: Geosphere, v. 8, no. 4, p. 787-804, https://doi.org/10.1130/GES00687.1.","productDescription":"18 p.","startPage":"787","endPage":"804","ipdsId":"IP-022203","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":474178,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1130/ges00687.1","text":"Publisher Index Page"},{"id":340908,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"8","issue":"4","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"591183b8e4b0e541a03c1a7a","contributors":{"authors":[{"text":"Cowgill, Eric","contributorId":16290,"corporation":false,"usgs":true,"family":"Cowgill","given":"Eric","affiliations":[],"preferred":false,"id":694384,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bernardin, Tony S.","contributorId":191807,"corporation":false,"usgs":false,"family":"Bernardin","given":"Tony","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":694385,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Oskin, Michael E.","contributorId":191806,"corporation":false,"usgs":false,"family":"Oskin","given":"Michael","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":694386,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bowles, Christopher","contributorId":191803,"corporation":false,"usgs":false,"family":"Bowles","given":"Christopher","email":"","affiliations":[],"preferred":false,"id":694387,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Yikilmaz, M. Burak","contributorId":191805,"corporation":false,"usgs":false,"family":"Yikilmaz","given":"M.","email":"","middleInitial":"Burak","affiliations":[],"preferred":false,"id":694388,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Kreylos, Oliver","contributorId":98189,"corporation":false,"usgs":true,"family":"Kreylos","given":"Oliver","email":"","affiliations":[],"preferred":false,"id":694389,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Elliott, Austin J.","contributorId":191820,"corporation":false,"usgs":false,"family":"Elliott","given":"Austin J.","affiliations":[],"preferred":false,"id":694390,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Bishop, Scott","contributorId":191821,"corporation":false,"usgs":false,"family":"Bishop","given":"Scott","email":"","affiliations":[],"preferred":false,"id":694391,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Gold, Ryan D. 0000-0002-4464-6394 rgold@usgs.gov","orcid":"https://orcid.org/0000-0002-4464-6394","contributorId":3883,"corporation":false,"usgs":true,"family":"Gold","given":"Ryan","email":"rgold@usgs.gov","middleInitial":"D.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":694392,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Morelan, Alexander","contributorId":173909,"corporation":false,"usgs":false,"family":"Morelan","given":"Alexander","affiliations":[{"id":12711,"text":"UC Davis","active":true,"usgs":false}],"preferred":false,"id":694393,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Bawden, Gerald W. gbawden@usgs.gov","contributorId":1071,"corporation":false,"usgs":true,"family":"Bawden","given":"Gerald","email":"gbawden@usgs.gov","middleInitial":"W.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":694394,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Hamann, Bernd","contributorId":191822,"corporation":false,"usgs":false,"family":"Hamann","given":"Bernd","email":"","affiliations":[],"preferred":false,"id":694395,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Kellogg, Louise","contributorId":191823,"corporation":false,"usgs":false,"family":"Kellogg","given":"Louise","email":"","affiliations":[],"preferred":false,"id":694396,"contributorType":{"id":1,"text":"Authors"},"rank":13}]}}
,{"id":70038087,"text":"70038087 - 2012 - Estimating discharge measurement uncertainty using the interpolated variance estimator","interactions":[],"lastModifiedDate":"2013-04-20T20:19:00","indexId":"70038087","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2338,"text":"Journal of Hydraulic Engineering","active":true,"publicationSubtype":{"id":10}},"title":"Estimating discharge measurement uncertainty using the interpolated variance estimator","docAbstract":"Methods for quantifying the uncertainty in discharge measurements typically identify various sources of uncertainty and then estimate the uncertainty from each of these sources by applying the results of empirical or laboratory studies. If actual measurement conditions are not consistent with those encountered in the empirical or laboratory studies, these methods may give poor estimates of discharge uncertainty. This paper presents an alternative method for estimating discharge measurement uncertainty that uses statistical techniques and at-site observations. This Interpolated Variance Estimator (IVE) estimates uncertainty based on the data collected during the streamflow measurement and therefore reflects the conditions encountered at the site. The IVE has the additional advantage of capturing all sources of random uncertainty in the velocity and depth measurements. It can be applied to velocity-area discharge measurements that use a velocity meter to measure point velocities at multiple vertical sections in a channel cross section.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Hydraulic Engineering","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"ASCE","publisherLocation":"Reston, VA","doi":"10.1061/(ASCE)HY.1943-7900.0000695","usgsCitation":"Cohn, T., Kiang, J., and Mason, R., 2012, Estimating discharge measurement uncertainty using the interpolated variance estimator: Journal of Hydraulic Engineering, v. 139, no. 5, p. 502-510, https://doi.org/10.1061/(ASCE)HY.1943-7900.0000695.","productDescription":"9 p.","startPage":"502","endPage":"510","ipdsId":"IP-022663","costCenters":[{"id":502,"text":"Office of Surface Water","active":true,"usgs":true}],"links":[{"id":269975,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":269974,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1061/(ASCE)HY.1943-7900.0000695"}],"volume":"139","issue":"5","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5150207ee4b08df5cb131360","contributors":{"authors":[{"text":"Cohn, T.","contributorId":95353,"corporation":false,"usgs":true,"family":"Cohn","given":"T.","email":"","affiliations":[],"preferred":false,"id":463432,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kiang, J.","contributorId":31280,"corporation":false,"usgs":true,"family":"Kiang","given":"J.","email":"","affiliations":[],"preferred":false,"id":463430,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mason, R. Jr.","contributorId":80155,"corporation":false,"usgs":true,"family":"Mason","given":"R.","suffix":"Jr.","email":"","affiliations":[],"preferred":false,"id":463431,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70042835,"text":"70042835 - 2012 - Explaining reported puma-related behaviors and behavioral intentions among northern Arizona residents","interactions":[],"lastModifiedDate":"2013-05-14T13:11:14","indexId":"70042835","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1910,"text":"Human Dimensions of Wildlife: An International Journal","active":true,"publicationSubtype":{"id":10}},"title":"Explaining reported puma-related behaviors and behavioral intentions among northern Arizona residents","docAbstract":"Management of pumas in the American West is typified by conflict among stakeholders plausibly rooted in life experiences and worldviews. We used a mail questionnaire to assess demographics, nature-views, puma-related life experiences and behaviors, and support for puma-related policies among residents of northern Arizona. Data from the questionnaire (n = 693 respondents) were used to model behaviors and support for policies. Compared to models based on nature-views and life experiences, those based on demographics had virtually no support from the data. The Utilitarian/Dominionistic nature-view had the strongest effect of any variable in six of seven models, and was associated with firearms and opposition to policies that would limit killing pumas. The Humanistic/Moralistic nature-view was positively associated with non-lethal behaviors and policies in five models. Gender had the strongest effect of any demographic variable. Compared to demographics alone, our results suggest that worldviews provide a more meaningful explanation of reported human behaviors and behavioral intentions regarding pumas.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Human Dimensions of Wildlife: An International Journal","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Taylor & Francis","doi":"10.1080/10871209.2012.627581","usgsCitation":"Mattson, D.J., and Ruther, E.J., 2012, Explaining reported puma-related behaviors and behavioral intentions among northern Arizona residents: Human Dimensions of Wildlife: An International Journal, v. 17, no. 2, p. 91-111, https://doi.org/10.1080/10871209.2012.627581.","productDescription":"21 p.","startPage":"91","endPage":"111","ipdsId":"IP-023590","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":272249,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":266446,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1080/10871209.2012.627581"}],"country":"United States","state":"Arizona","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -114.82,31.33 ], [ -114.82,37.0 ], [ -109.0,37.0 ], [ -109.0,31.33 ], [ -114.82,31.33 ] ] ] } } ] }","volume":"17","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53cd58cce4b0b290850f8502","contributors":{"authors":[{"text":"Mattson, David J. david_mattson@usgs.gov","contributorId":3662,"corporation":false,"usgs":true,"family":"Mattson","given":"David","email":"david_mattson@usgs.gov","middleInitial":"J.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":472366,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ruther, Elizabeth J.","contributorId":75422,"corporation":false,"usgs":true,"family":"Ruther","given":"Elizabeth","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":472367,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70043577,"text":"70043577 - 2012 - Assessing sloth bears as surrogates for carnivore conservation in Sri Lanka","interactions":[],"lastModifiedDate":"2013-03-25T14:17:22","indexId":"70043577","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3671,"text":"Ursus","active":true,"publicationSubtype":{"id":10}},"title":"Assessing sloth bears as surrogates for carnivore conservation in Sri Lanka","docAbstract":"Bears are large, charismatic mammals whose presence often garners conservation attention. Because healthy bear populations typically require large, contiguous areas of habitat, land conservation actions often are assumed to benefit co-occurring species, including other mammalian carnivores. However, we are not aware of an empirical test of this assumption. We used remote camera data from 2 national parks in Sri Lanka to test the hypothesis that the frequency of detection of sloth bears (Melursus ursinus) is associated with greater richness of carnivore species. We focused on mammalian carnivores because they play a pivotal role in the stability of ecological communities and are among Sri Lanka's most endangered species. Seven of Sri Lanka's carnivores are listed as endangered, vulnerable, or near threatened, and little empirical information exists on their status and distribution. During 2002–03, we placed camera traps at 152 sites to document carnivore species presence. We used Poisson regression to develop predictive models for 3 categories of dependent variables: species richness of (1) all carnivores, (2) carnivores considered at risk, and (3) carnivores of least conservation concern. For each category, we analyzed 8 a priori models based on combinations of sloth bear detections, sample year, and study area and used Akaike's information criterion (AIC<sub>c</sub>) to test our research hypothesis. We detected sloth bears at 55 camera sites and detected 13 of Sri Lanka's 14 Carnivora species. Species richness of all carnivores showed positive associations with the number of sloth bear detections, regardless of study area. Sloth bear detections were also positively associated with species richness of carnivores at risk across both study years and study areas, but not with species richness of common carnivores. Sloth bears may serve as a valuable surrogate species whose habitat protection would contribute to conservation of other carnivores in Sri Lanka.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Ursus","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"International Association for Bear Research and Management","publisherLocation":"http://www.bearbiology.com/","doi":"10.2192/URSUS-D-11-00029.1","usgsCitation":"Ratnayeke, S., and van Manen, F., 2012, Assessing sloth bears as surrogates for carnivore conservation in Sri Lanka: Ursus, v. 23, no. 2, p. 206-217, https://doi.org/10.2192/URSUS-D-11-00029.1.","productDescription":"12 p.","startPage":"206","endPage":"217","ipdsId":"IP-040752","costCenters":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"links":[{"id":270016,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":270015,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.2192/URSUS-D-11-00029.1"}],"country":"Sri Lanka","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ 79.6289,5.9191 ], [ 79.6289,9.8359 ], [ 81.8787,9.8359 ], [ 81.8787,5.9191 ], [ 79.6289,5.9191 ] ] ] } } ] }","volume":"23","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"515171e2e4b087909f0bbe67","contributors":{"authors":[{"text":"Ratnayeke, Shyamala","contributorId":40873,"corporation":false,"usgs":true,"family":"Ratnayeke","given":"Shyamala","affiliations":[],"preferred":false,"id":473876,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"van Manen, Frank T.","contributorId":51172,"corporation":false,"usgs":true,"family":"van Manen","given":"Frank T.","affiliations":[],"preferred":false,"id":473877,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70046097,"text":"70046097 - 2012 - Impact disruption and recovery of the deep subsurface biosphere","interactions":[],"lastModifiedDate":"2013-06-05T15:03:53","indexId":"70046097","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":912,"text":"Astrobiology","active":true,"publicationSubtype":{"id":10}},"title":"Impact disruption and recovery of the deep subsurface biosphere","docAbstract":"Although a large fraction of the world's biomass resides in the subsurface, there has been no study of the effects of catastrophic disturbance on the deep biosphere and the rate of its subsequent recovery. We carried out an investigation of the microbiology of a 1.76 km drill core obtained from the ~35 million-year-old Chesapeake Bay impact structure, USA, with robust contamination control. Microbial enumerations displayed a logarithmic downward decline, but the different gradient, when compared to previously studied sites, and the scatter of the data are consistent with a microbiota influenced by the geological disturbances caused by the impact. Microbial abundance is low in buried crater-fill, ocean-resurge, and avalanche deposits despite the presence of redox couples for growth. Coupled with the low hydraulic conductivity, the data suggest the microbial community has not yet recovered from the impact ~35 million years ago. Microbial enumerations, molecular analysis of microbial enrichment cultures, and geochemical analysis showed recolonization of a deep region of impact-fractured rock that was heated to above the upper temperature limit for life at the time of impact. These results show how, by fracturing subsurface rocks, impacts can extend the depth of the biosphere. This phenomenon would have provided deep refugia for life on the more heavily bombarded early Earth, and it shows that the deeply fractured regions of impact craters are promising targets to study the past and present habitability of Mars.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Astrobiology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Mary Ann Liebert, Inc.","doi":"10.1089/ast.2011.0722","usgsCitation":"Cockell, C.S., Voytek, M.A., Gronstal, A.L., Finster, K., Kirshtein, J.D., Howard, K., Reitner, J., Gohn, G., Sanford, W.E., Horton, J., Kallmeyer, J., Kelly, L., and Powars, D.S., 2012, Impact disruption and recovery of the deep subsurface biosphere: Astrobiology, v. 12, no. 3, p. 231-246, https://doi.org/10.1089/ast.2011.0722.","productDescription":"16 p.","startPage":"231","endPage":"246","ipdsId":"IP-021854","costCenters":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"links":[{"id":273338,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":273337,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1089/ast.2011.0722"}],"volume":"12","issue":"3","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51b05de7e4b030b519801237","contributors":{"authors":[{"text":"Cockell, Charles S.","contributorId":22646,"corporation":false,"usgs":true,"family":"Cockell","given":"Charles","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":478900,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Voytek, Mary A.","contributorId":91943,"corporation":false,"usgs":true,"family":"Voytek","given":"Mary","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":478907,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gronstal, Aaron L.","contributorId":17510,"corporation":false,"usgs":true,"family":"Gronstal","given":"Aaron","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":478899,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Finster, Kai","contributorId":79383,"corporation":false,"usgs":true,"family":"Finster","given":"Kai","email":"","affiliations":[],"preferred":false,"id":478906,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kirshtein, Julie D.","contributorId":26033,"corporation":false,"usgs":true,"family":"Kirshtein","given":"Julie","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":478901,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Howard, Kieren","contributorId":68632,"corporation":false,"usgs":true,"family":"Howard","given":"Kieren","email":"","affiliations":[],"preferred":false,"id":478904,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Reitner, Joachim","contributorId":50431,"corporation":false,"usgs":true,"family":"Reitner","given":"Joachim","email":"","affiliations":[],"preferred":false,"id":478903,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Gohn, Gregory S.","contributorId":50155,"corporation":false,"usgs":true,"family":"Gohn","given":"Gregory S.","affiliations":[],"preferred":false,"id":478902,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Sanford, Ward E. 0000-0002-6624-0280 wsanford@usgs.gov","orcid":"https://orcid.org/0000-0002-6624-0280","contributorId":2268,"corporation":false,"usgs":true,"family":"Sanford","given":"Ward","email":"wsanford@usgs.gov","middleInitial":"E.","affiliations":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true},{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":478898,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Horton, J. Wright Jr. 0000-0001-6756-6365 whorton@usgs.gov","orcid":"https://orcid.org/0000-0001-6756-6365","contributorId":423,"corporation":false,"usgs":true,"family":"Horton","given":"J. Wright","suffix":"Jr.","email":"whorton@usgs.gov","affiliations":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"preferred":false,"id":478896,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Kallmeyer, Jens","contributorId":97803,"corporation":false,"usgs":true,"family":"Kallmeyer","given":"Jens","affiliations":[],"preferred":false,"id":478908,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Kelly, Laura","contributorId":77826,"corporation":false,"usgs":true,"family":"Kelly","given":"Laura","email":"","affiliations":[],"preferred":false,"id":478905,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Powars, David S. 0000-0002-6787-8964 dspowars@usgs.gov","orcid":"https://orcid.org/0000-0002-6787-8964","contributorId":1181,"corporation":false,"usgs":true,"family":"Powars","given":"David","email":"dspowars@usgs.gov","middleInitial":"S.","affiliations":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true},{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"preferred":true,"id":478897,"contributorType":{"id":1,"text":"Authors"},"rank":13}]}}
,{"id":70043697,"text":"70043697 - 2012 - Annual accumulation over the Greenland ice sheet interpolated from historical and newly compiled observation data","interactions":[],"lastModifiedDate":"2013-04-08T20:39:43","indexId":"70043697","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1768,"text":"Geografiska Annaler, Series A: Physical Geography","active":true,"publicationSubtype":{"id":10}},"title":"Annual accumulation over the Greenland ice sheet interpolated from historical and newly compiled observation data","docAbstract":"The estimation of ice/snow accumulation is of great significance in quantifying the mass balance of ice sheets and variation in water resources. Improving the accuracy and reducing uncertainty has been a challenge for the estimation of annual accumulation over the Greenland ice sheet. In this study, we kriged and analyzed the spatial pattern of accumulation based on an observation data series including 315 points used in a recent research, plus 101 ice cores and snow pits and newly compiled 23 coastal weather station data. The estimated annual accumulation over the Greenland ice sheet is 31.2 g cm<sup>−2</sup> yr<sup>−1</sup>, with a standard error of 0.9 g cm<sup>−2</sup> yr<sup>−1</sup>. The main differences between the improved map developed in this study and the recently published accumulation maps are in the coastal areas, especially southeast and southwest regions. The analysis of accumulations versus elevation reveals the distribution patterns of accumulation over the Greenland ice sheet.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Geografiska Annaler, Series A: Physical Geography","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Wiley","publisherLocation":"Hoboken, NJ","doi":"10.1111/j.1468-0459.2012.00458.x","usgsCitation":"Shen, D., Liu, Y., and Huang, S., 2012, Annual accumulation over the Greenland ice sheet interpolated from historical and newly compiled observation data: Geografiska Annaler, Series A: Physical Geography, v. 94, no. 3, p. 377-393, https://doi.org/10.1111/j.1468-0459.2012.00458.x.","productDescription":"17 p.","startPage":"377","endPage":"393","ipdsId":"IP-031311","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":270676,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":270675,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1111/j.1468-0459.2012.00458.x"}],"country":"Greenland","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -73.0,59.8 ], [ -73.0,83.6 ], [ -11.3,83.6 ], [ -11.3,59.8 ], [ -73.0,59.8 ] ] ] } } ] }","volume":"94","issue":"3","noUsgsAuthors":false,"publicationDate":"2016-11-15","publicationStatus":"PW","scienceBaseUri":"5163e6e7e4b0b7010f820164","contributors":{"authors":[{"text":"Shen, Dayong","contributorId":71079,"corporation":false,"usgs":true,"family":"Shen","given":"Dayong","email":"","affiliations":[],"preferred":false,"id":474117,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Liu, Yuling","contributorId":96171,"corporation":false,"usgs":true,"family":"Liu","given":"Yuling","email":"","affiliations":[],"preferred":false,"id":474118,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Huang, Shengli shuang@usgs.gov","contributorId":1926,"corporation":false,"usgs":true,"family":"Huang","given":"Shengli","email":"shuang@usgs.gov","affiliations":[],"preferred":true,"id":474116,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70044280,"text":"70044280 - 2012 - Calibration and intercomparison of acetic acid measurements using proton transfer reaction mass spectrometry (PTR-MS)","interactions":[],"lastModifiedDate":"2013-03-05T09:44:59","indexId":"70044280","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":926,"text":"Atmospheric Measurement Techniques","active":true,"publicationSubtype":{"id":10}},"title":"Calibration and intercomparison of acetic acid measurements using proton transfer reaction mass spectrometry (PTR-MS)","docAbstract":"Acetic acid is one of the most abundant organic acids in the ambient atmosphere, with maximum mixing ratios reaching into the tens of parts per billion by volume (ppbv) range. The identities and associated magnitudes of the major sources and sinks for acetic acid are poorly characterized, due in part to the limitation in available measurement techniques. This paper demonstrates that Proton Transfer Reaction Mass Spectrometry (PTR-MS) can reliably quantify acetic acid vapor in ambient air. Three different PTR-MS configurations were calibrated at low ppbv mixing ratios using permeation tubes, which yielded calibration factors between 7.0 and 10.9 normalized counts per second per ppbv (ncps ppbv<sup>−1</sup>) at a drift tube field strength of 132 townsend (Td). Detection limits ranged from 0.06 to 0.32 ppbv with dwell times of 5 s. These calibration factors showed negligible humidity dependence. Using the experimentally determined calibration factors, PTR-MS measurements of acetic acid during the International Consortium for Atmospheric Research on Transport and Transformation (ICARTT) campaign were validated against results obtained using Mist Chambers coupled with Ion Chromatography (MC/IC). An orthogonal least squares linear regression of paired data yielded a slope of 1.14 ± 0.06 (2σ), an intercept of 0.049 ± 20 (2σ) ppbv, and an R<sup>2</sup> of 0.78. The median mixing ratio of acetic acid on Appledore Island, ME during the ICARTT campaign was 0.530 ± 0.025 ppbv with a minimum of 0.075 ± 0.004 ppbv, and a maximum of 3.555 ± 0.171 ppbv.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Atmospheric Measurement Techniques","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"European Geosciences Union","publisherLocation":"Munich, Germany","doi":"10.5194/amtd-5-4635-2012","usgsCitation":"Haase, K., Keene, W., Pszenny, A., Mayne, H., Talbot, R., and Sive, B., 2012, Calibration and intercomparison of acetic acid measurements using proton transfer reaction mass spectrometry (PTR-MS): Atmospheric Measurement Techniques, v. 5, no. 4, p. 4635-4665, https://doi.org/10.5194/amtd-5-4635-2012.","productDescription":"31 p.","startPage":"4635","endPage":"4665","ipdsId":"IP-041862","costCenters":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"links":[{"id":474162,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.5194/amtd-5-4635-2012","text":"Publisher Index Page"},{"id":268741,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":268740,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.5194/amtd-5-4635-2012"}],"volume":"5","issue":"4","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"513721f3e4b02ab8869bffbb","contributors":{"authors":[{"text":"Haase, K.B.","contributorId":80940,"corporation":false,"usgs":true,"family":"Haase","given":"K.B.","email":"","affiliations":[],"preferred":false,"id":475234,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Keene, W.C.","contributorId":71457,"corporation":false,"usgs":true,"family":"Keene","given":"W.C.","email":"","affiliations":[],"preferred":false,"id":475233,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Pszenny, A.A.P.","contributorId":62482,"corporation":false,"usgs":true,"family":"Pszenny","given":"A.A.P.","email":"","affiliations":[],"preferred":false,"id":475231,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Mayne, H.R.","contributorId":21016,"corporation":false,"usgs":true,"family":"Mayne","given":"H.R.","email":"","affiliations":[],"preferred":false,"id":475230,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Talbot, R.W.","contributorId":18645,"corporation":false,"usgs":true,"family":"Talbot","given":"R.W.","email":"","affiliations":[],"preferred":false,"id":475229,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Sive, B.C.","contributorId":66518,"corporation":false,"usgs":true,"family":"Sive","given":"B.C.","email":"","affiliations":[],"preferred":false,"id":475232,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70044291,"text":"70044291 - 2012 - Determination of nonylphenol isomers in landfill leachate and municipal wastewater using steam distillation extraction coupled with comprehensive two-dimensional gas chromatography/time-of-flight mass spectrometry","interactions":[],"lastModifiedDate":"2013-04-24T15:26:20","indexId":"70044291","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2214,"text":"Journal of Chromatography A","active":true,"publicationSubtype":{"id":10}},"title":"Determination of nonylphenol isomers in landfill leachate and municipal wastewater using steam distillation extraction coupled with comprehensive two-dimensional gas chromatography/time-of-flight mass spectrometry","docAbstract":"4-Nonylphenols (4-NPs) are known endocrine disruptors and by-products of the microbial degradation of nonylphenol polyethoxylate surfactants. One of the challenges to understanding the toxic effects of nonylphenols is the large number of isomers that may exist in environmental samples. In order to attribute toxic effects to specific compounds, a method is needed for the separation and quantitation of individual nonylphenol isomers. The pre-concentration methods of solvent sublimation, solid-phase extraction or liquid–liquid extraction prior to chromatographic analysis can be problematic because of co-extraction of thousands of compounds typically found in complex matrices such as municipal wastewater or landfill leachate. In the present study, steam distillation extraction (SDE) was found to be an effective pre-concentration method for extraction of 4-NPs from leachate and wastewater, and comprehensive two-dimensional gas chromatography (GC × GC) coupled with fast mass spectral data acquisition by time-of-flight mass spectrometry (ToFMS) enhanced the resolution and identification of 4-NP isomers. Concentrations of eight 4-NP isomers were determined in leachate from landfill cells of different age and wastewater influent and effluent samples. 4-NP isomers were about 3 times more abundant in leachate from the younger cell than the older one, whereas concentrations in wastewater effluent were either below detection limits or <1% of influent concentrations. 4-NP isomer distribution patterns were found to have been altered following release to the environment. This is believed to reflect isomer-specific degradation and accumulation of 4-NPs in the aquatic environment.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Chromatography A","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","doi":"10.1016/j.chroma.2011.12.109","usgsCitation":"Zhang, C., Eganhouse, R., Pontolillo, J., Cozzarelli, I.M., and Wang, Y., 2012, Determination of nonylphenol isomers in landfill leachate and municipal wastewater using steam distillation extraction coupled with comprehensive two-dimensional gas chromatography/time-of-flight mass spectrometry: Journal of Chromatography A, v. 1230, p. 110-116, https://doi.org/10.1016/j.chroma.2011.12.109.","productDescription":"7 p.","startPage":"110","endPage":"116","ipdsId":"IP-030281","costCenters":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"links":[{"id":271420,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":268627,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.chroma.2011.12.109"}],"volume":"1230","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5178fee3e4b0d842c705f6d7","contributors":{"authors":[{"text":"Zhang, Caixiang","contributorId":61321,"corporation":false,"usgs":true,"family":"Zhang","given":"Caixiang","email":"","affiliations":[],"preferred":false,"id":475244,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Eganhouse, Robert P. eganhous@usgs.gov","contributorId":2031,"corporation":false,"usgs":true,"family":"Eganhouse","given":"Robert P.","email":"eganhous@usgs.gov","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":475242,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Pontolillo, James jpontoli@usgs.gov","contributorId":2033,"corporation":false,"usgs":true,"family":"Pontolillo","given":"James","email":"jpontoli@usgs.gov","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":475243,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Cozzarelli, Isabelle M. 0000-0002-5123-1007 icozzare@usgs.gov","orcid":"https://orcid.org/0000-0002-5123-1007","contributorId":1693,"corporation":false,"usgs":true,"family":"Cozzarelli","given":"Isabelle","email":"icozzare@usgs.gov","middleInitial":"M.","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true},{"id":49175,"text":"Geology, Energy & Minerals Science Center","active":true,"usgs":true}],"preferred":true,"id":475241,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Wang, Yanxin","contributorId":81389,"corporation":false,"usgs":true,"family":"Wang","given":"Yanxin","email":"","affiliations":[],"preferred":false,"id":475245,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70045106,"text":"70045106 - 2012 - Improving PAGER's real-time earthquake casualty and loss estimation toolkit: a challenge","interactions":[],"lastModifiedDate":"2013-06-24T13:42:25","indexId":"70045106","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Improving PAGER's real-time earthquake casualty and loss estimation toolkit: a challenge","docAbstract":"We describe the on-going developments of PAGER’s loss estimation models, and discuss value-added web content that can be generated related to exposure, damage and loss outputs for a variety of PAGER users. These developments include identifying vulnerable building types in any given area, estimating earthquake-induced damage and loss statistics by building type, and developing visualization aids that help locate areas of concern for improving post-earthquake response efforts. While detailed exposure and damage information is highly useful and desirable, significant improvements are still necessary in order to improve underlying building stock and vulnerability data at a global scale. Existing efforts with the GEM’s GED4GEM and GVC consortia will help achieve some of these objectives. This will benefit PAGER especially in regions where PAGER’s empirical model is less-well constrained; there, the semi-empirical and analytical models will provide robust estimates of damage and losses. Finally, we outline some of the challenges associated with rapid casualty and loss estimation that we experienced while responding to recent large earthquakes worldwide.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"The 15th World Conference on Earthquake Engineering: September 24-28, 2012, Lisbon, Portugal","largerWorkSubtype":{"id":12,"text":"Conference publication"},"language":"English","publisher":"IEM","usgsCitation":"Jaiswal, K.S., and Wald, D., 2012, Improving PAGER's real-time earthquake casualty and loss estimation toolkit: a challenge, <i>in</i> The 15th World Conference on Earthquake Engineering: September 24-28, 2012, Lisbon, Portugal, 10 p.","productDescription":"10 p.","ipdsId":"IP-037996","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":274113,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":274112,"type":{"id":11,"text":"Document"},"url":"https://www.iitk.ac.in/nicee/wcee/article/WCEE2012_2539.pdf"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51c96a66e4b0a50a6e8f57f5","contributors":{"authors":[{"text":"Jaiswal, K. S.","contributorId":105564,"corporation":false,"usgs":false,"family":"Jaiswal","given":"K.","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":476814,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wald, D.J. 0000-0002-1454-4514","orcid":"https://orcid.org/0000-0002-1454-4514","contributorId":43809,"corporation":false,"usgs":true,"family":"Wald","given":"D.J.","affiliations":[],"preferred":false,"id":476813,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70043291,"text":"70043291 - 2012 - Estimating aboveground biomass in interior Alaska with Landsat data and field measurements","interactions":[],"lastModifiedDate":"2013-05-14T08:49:48","indexId":"70043291","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2027,"text":"International Journal of Applied Earth Observation and Geoinformation","active":true,"publicationSubtype":{"id":10}},"title":"Estimating aboveground biomass in interior Alaska with Landsat data and field measurements","docAbstract":"Terrestrial plant biomass is a key biophysical parameter required for understanding ecological systems in Alaska. An accurate estimation of biomass at a regional scale provides an important data input for ecological modeling in this region. In this study, we created an aboveground biomass (AGB) map at 30-m resolution for the Yukon Flats ecoregion of interior Alaska using Landsat data and field measurements. Tree, shrub, and herbaceous AGB data in both live and dead forms were collected in summers and autumns of 2009 and 2010. Using the Landsat-derived spectral variables and the field AGB data, we generated a regression model and applied this model to map AGB for the ecoregion. A 3-fold cross-validation indicated that the AGB estimates had a mean absolute error of 21.8 Mg/ha and a mean bias error of 5.2 Mg/ha. Additionally, we validated the mapping results using an airborne lidar dataset acquired for a portion of the ecoregion. We found a significant relationship between the lidar-derived canopy height and the Landsat-derived AGB (R<sup>2</sup> = 0.40). The AGB map showed that 90% of the ecoregion had AGB values ranging from 10 Mg/ha to 134 Mg/ha. Vegetation types and fires were the primary factors controlling the spatial AGB patterns in this ecoregion.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"International Journal of Applied Earth Observation and Geoinformation","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","doi":"10.1016/j.jag.2012.03.019","usgsCitation":"Ji, L., Wylie, B.K., Nossov, D.R., Peterson, B.E., Waldrop, M.P., McFarland, J.W., Rover, J.R., and Hollingsworth, T.N., 2012, Estimating aboveground biomass in interior Alaska with Landsat data and field measurements: International Journal of Applied Earth Observation and Geoinformation, v. 18, p. 451-461, https://doi.org/10.1016/j.jag.2012.03.019.","productDescription":"11 p.","startPage":"451","endPage":"461","ipdsId":"IP-028810","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":272197,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":272196,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.jag.2012.03.019"}],"country":"United States","state":"Alaska","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ 172.5,51.2 ], [ 172.5,71.4 ], [ -130.0,71.4 ], [ -130.0,51.2 ], [ 172.5,51.2 ] ] ] } } ] }","volume":"18","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53cd57f6e4b0b290850f7cba","contributors":{"authors":[{"text":"Ji, Lei 0000-0002-6133-1036 lji@usgs.gov","orcid":"https://orcid.org/0000-0002-6133-1036","contributorId":2832,"corporation":false,"usgs":true,"family":"Ji","given":"Lei","email":"lji@usgs.gov","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":false,"id":473303,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wylie, Bruce K. 0000-0002-7374-1083 wylie@usgs.gov","orcid":"https://orcid.org/0000-0002-7374-1083","contributorId":750,"corporation":false,"usgs":true,"family":"Wylie","given":"Bruce","email":"wylie@usgs.gov","middleInitial":"K.","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true},{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":true,"id":473301,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Nossov, Dana R.","contributorId":75833,"corporation":false,"usgs":true,"family":"Nossov","given":"Dana","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":473308,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Peterson, Birgit E. 0000-0002-4356-1540 bpeterson@usgs.gov","orcid":"https://orcid.org/0000-0002-4356-1540","contributorId":3599,"corporation":false,"usgs":true,"family":"Peterson","given":"Birgit","email":"bpeterson@usgs.gov","middleInitial":"E.","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":false,"id":473305,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Waldrop, Mark P. 0000-0003-1829-7140 mwaldrop@usgs.gov","orcid":"https://orcid.org/0000-0003-1829-7140","contributorId":1599,"corporation":false,"usgs":true,"family":"Waldrop","given":"Mark","email":"mwaldrop@usgs.gov","middleInitial":"P.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true},{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true}],"preferred":true,"id":473302,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"McFarland, Jack W. 0000-0001-9672-8597 jmcfarland@usgs.gov","orcid":"https://orcid.org/0000-0001-9672-8597","contributorId":5238,"corporation":false,"usgs":true,"family":"McFarland","given":"Jack","email":"jmcfarland@usgs.gov","middleInitial":"W.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":473306,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Rover, Jennifer R. 0000-0002-3437-4030 jrover@usgs.gov","orcid":"https://orcid.org/0000-0002-3437-4030","contributorId":2941,"corporation":false,"usgs":true,"family":"Rover","given":"Jennifer","email":"jrover@usgs.gov","middleInitial":"R.","affiliations":[],"preferred":false,"id":473304,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Hollingsworth, Teresa N.","contributorId":19016,"corporation":false,"usgs":true,"family":"Hollingsworth","given":"Teresa","email":"","middleInitial":"N.","affiliations":[],"preferred":false,"id":473307,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70043178,"text":"70043178 - 2012 - Identifying grasslands suitable for cellulosic feedstock crops in the Greater Platte River Basin: dynamic modeling of ecosystem performance with 250 m eMODIS","interactions":[],"lastModifiedDate":"2013-06-05T14:53:04","indexId":"70043178","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1718,"text":"GCB Bioenergy","active":true,"publicationSubtype":{"id":10}},"title":"Identifying grasslands suitable for cellulosic feedstock crops in the Greater Platte River Basin: dynamic modeling of ecosystem performance with 250 m eMODIS","docAbstract":"This study dynamically monitors ecosystem performance (EP) to identify grasslands potentially suitable for cellulosic feedstock crops (e.g., switchgrass) within the Greater Platte River Basin (GPRB). We computed grassland site potential and EP anomalies using 9-year (2000–2008) time series of 250 m expedited moderate resolution imaging spectroradiometer Normalized Difference Vegetation Index data, geophysical and biophysical data, weather and climate data, and EP models. We hypothesize that areas with fairly consistent high grassland productivity (i.e., high grassland site potential) in fair to good range condition (i.e., persistent ecosystem overperformance or normal performance, indicating a lack of severe ecological disturbance) are potentially suitable for cellulosic feedstock crop development. Unproductive (i.e., low grassland site potential) or degraded grasslands (i.e., persistent ecosystem underperformance with poor range condition) are not appropriate for cellulosic feedstock development. Grassland pixels with high or moderate ecosystem site potential and with more than 7 years ecosystem normal performance or overperformance during 2000–2008 are identified as possible regions for future cellulosic feedstock crop development (ca. 68 000 km<sup>2</sup> within the GPRB, mostly in the eastern areas). Long-term climate conditions, elevation, soil organic carbon, and yearly seasonal precipitation and temperature are important performance variables to determine the suitable areas in this study. The final map delineating the suitable areas within the GPRB provides a new monitoring and modeling approach that can contribute to decision support tools to help land managers and decision makers make optimal land use decisions regarding cellulosic feedstock crop development and sustainability.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"GCB Bioenergy","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Wiley","doi":"10.1111/j.1757-1707.2011.01113.x","usgsCitation":"Gu, Y., Boyte, S., Wylie, B.K., and Tieszen, L.L., 2012, Identifying grasslands suitable for cellulosic feedstock crops in the Greater Platte River Basin: dynamic modeling of ecosystem performance with 250 m eMODIS: GCB Bioenergy, v. 4, no. 1, p. 96-106, https://doi.org/10.1111/j.1757-1707.2011.01113.x.","productDescription":"11 p.","startPage":"96","endPage":"106","ipdsId":"IP-023332","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":474244,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/j.1757-1707.2011.01113.x","text":"Publisher Index Page"},{"id":273336,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":273335,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1111/j.1757-1707.2011.01113.x"}],"country":"United States","state":"Nebraska;Wyoming;Colorado;Kansas;South Dakota","otherGeospatial":"Greater Platte River Basin","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -109.0,37.5 ], [ -109.0,44.0 ], [ -95.5,44.0 ], [ -95.5,37.5 ], [ -109.0,37.5 ] ] ] } } ] }","volume":"4","issue":"1","noUsgsAuthors":false,"publicationDate":"2011-07-21","publicationStatus":"PW","scienceBaseUri":"51b05de6e4b030b519801227","contributors":{"authors":[{"text":"Gu, Yingxin 0000-0002-3544-1856 ygu@usgs.gov","orcid":"https://orcid.org/0000-0002-3544-1856","contributorId":409,"corporation":false,"usgs":true,"family":"Gu","given":"Yingxin","email":"ygu@usgs.gov","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":false,"id":473110,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Boyte, Stephen P. 0000-0002-5462-3225","orcid":"https://orcid.org/0000-0002-5462-3225","contributorId":103539,"corporation":false,"usgs":true,"family":"Boyte","given":"Stephen P.","affiliations":[],"preferred":false,"id":473113,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wylie, Bruce K. 0000-0002-7374-1083 wylie@usgs.gov","orcid":"https://orcid.org/0000-0002-7374-1083","contributorId":750,"corporation":false,"usgs":true,"family":"Wylie","given":"Bruce","email":"wylie@usgs.gov","middleInitial":"K.","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true},{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":473111,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Tieszen, Larry L. tieszen@usgs.gov","contributorId":2831,"corporation":false,"usgs":true,"family":"Tieszen","given":"Larry","email":"tieszen@usgs.gov","middleInitial":"L.","affiliations":[],"preferred":true,"id":473112,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70045581,"text":"70045581 - 2012 - Developing spatially explicit footprints of plausible land-use scenarios in the Santa Cruz Watershed, Arizona and Sonora","interactions":[],"lastModifiedDate":"2013-04-24T17:07:53","indexId":"70045581","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2603,"text":"Landscape and Urban Planning","active":true,"publicationSubtype":{"id":10}},"title":"Developing spatially explicit footprints of plausible land-use scenarios in the Santa Cruz Watershed, Arizona and Sonora","docAbstract":"The SLEUTH urban growth model is applied to a binational dryland watershed to envision and evaluate plausible future scenarios of land use change into the year 2050. Our objective was to create a suite of geospatial footprints portraying potential land use change that can be used to aid binational decision-makers in assessing the impacts relative to sustainability of natural resources and potential socio-ecological consequences of proposed land-use management. Three alternatives are designed to simulate different conditions: (i) a Current Trends Scenario of unmanaged exponential growth, (ii) a Conservation Scenario with managed growth to protect the environment, and (iii) a Megalopolis Scenario in which growth is accentuated around a defined international trade corridor. The model was calibrated with historical data extracted from a time series of satellite images. Model materials, methodology, and results are presented. Our Current Trends Scenario predicts the footprint of urban growth to approximately triple from 2009 to 2050, which is corroborated by local population estimates. The Conservation Scenario results in protecting 46% more of the Evergreen class (more than 150,000 acres) than the Current Trends Scenario and approximately 95,000 acres of Barren Land, Crops, Deciduous Forest (Mesquite Bosque), Grassland/Herbaceous, Urban/Recreational Grasses, and Wetlands classes combined. The Megalopolis Scenario results also depict the preservation of some of these land-use classes compared to the Current Trends Scenario, most notably in the environmentally important headwaters region. Connectivity and areal extent of land cover types that provide wildlife habitat were preserved under the alternative scenarios when compared to Current Trends.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Landscape and Urban Planning","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","doi":"10.1016/j.landurbplan.2012.06.015","usgsCitation":"Norman, L.M., Feller, M., and Villarreal, M., 2012, Developing spatially explicit footprints of plausible land-use scenarios in the Santa Cruz Watershed, Arizona and Sonora: Landscape and Urban Planning, v. 107, no. 3, p. 225-235, https://doi.org/10.1016/j.landurbplan.2012.06.015.","productDescription":"11 p.","startPage":"225","endPage":"235","ipdsId":"IP-030525","costCenters":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"links":[{"id":474170,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.landurbplan.2012.06.015","text":"Publisher Index Page"},{"id":271427,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":271426,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.landurbplan.2012.06.015"}],"country":"United States;Mexico","state":"Arizona;Sonora","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -115.05,26.3 ], [ -115.05,37.0 ], [ -108.42,37.0 ], [ -108.42,26.3 ], [ -115.05,26.3 ] ] ] } } ] }","volume":"107","issue":"3","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5178fee5e4b0d842c705f6e7","contributors":{"authors":[{"text":"Norman, Laura M. 0000-0002-3696-8406 lnorman@usgs.gov","orcid":"https://orcid.org/0000-0002-3696-8406","contributorId":967,"corporation":false,"usgs":true,"family":"Norman","given":"Laura","email":"lnorman@usgs.gov","middleInitial":"M.","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":477869,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Feller, Mark","contributorId":79931,"corporation":false,"usgs":true,"family":"Feller","given":"Mark","affiliations":[],"preferred":false,"id":477870,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Villarreal, Miguel L.","contributorId":107012,"corporation":false,"usgs":true,"family":"Villarreal","given":"Miguel L.","affiliations":[],"preferred":false,"id":477871,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70042783,"text":"sir20125279 - 2012 - Quality of streams in Johnson County, Kansas, 2002--10","interactions":[],"lastModifiedDate":"2013-01-23T14:46:07","indexId":"sir20125279","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2012","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":"2012-5279","title":"Quality of streams in Johnson County, Kansas, 2002--10","docAbstract":"Stream quality in Johnson County, northeastern Kansas, was assessed on the basis of land use, hydrology, stream-water and streambed-sediment chemistry, riparian and in-stream habitat, and periphyton and macroinvertebrate community data collected from 22 sites during 2002 through 2010. Stream conditions at the end of the study period are evaluated and compared to previous years, stream biological communities and physical and chemical conditions are characterized, streams are described relative to Kansas Department of Health and Environment impairment categories and water-quality standards, and environmental factors that most strongly correlate with biological stream quality are evaluated. The information is useful for improving water-quality management programs, documenting changing conditions with time, and evaluating compliance with water-quality standards, total maximum daily loads (TMDLs), National Pollutant Discharge Elimination System (NPDES) permit conditions, and other established guidelines and goals. Constituent concentrations in water during base flow varied across the study area and 2010 conditions were not markedly different from those measured in 2003, 2004, and 2007. Generally the highest specific conductance and concentrations of dissolved solids and major ions in water occurred at urban sites except the upstream Cedar Creek site, which is rural and has a large area of commercial and industrial land less than 1 mile upstream on both sides of the creek. The highest base-flow nutrient concentrations in water occurred downstream from wastewater treatment facilities. Water chemistry data represent base-flow conditions only, and do not show the variability in concentrations that occurs during stormwater runoff. Constituent concentrations in streambed sediment also varied across the study area and some notable changes occurred from previously collected data. High organic carbon and nutrient concentrations at the rural Big Bull Creek site in 2003 decreased to at least one-fourth of those concentrations in 2007 and 2010 likely because of the reduction in upstream wastewater discharge contributions. The highest concentrations of trace metals in 2010 occurred at urban sites on Mill and Indian Creeks. Zinc was the only metal to exceed the probable effects concentration in 2010, which occurred at a site on Indian Creek. In 2007, chromium and nickel at the upstream urban Cedar Creek site exceeded the probable effects concentrations, and in 2003, no metals exceeded the probable effects concentrations. Of 72 organic compounds analyzed in streambed sediment, 26 were detected including pesticides, polycyclic aromatic hydrocarbons (PAHs), fuel products, fragrances, preservatives, plasticizers, manufacturing byproducts, flame retardants, and disinfectants. All 6 PAH compounds analyzed were detected, and the probable effects concentrations for 4 of the 6 PAH compounds analyzed were exceeded in 2010. Only five pesticide compounds were detected in streambed sediment, including carbazole and four pyrethroid compounds. Chronic toxicity guidelines for pyrethroid compounds were exceeded at five sites. Biological conditions reflected a gradient in urban land use, with the less disturbed streams located in rural areas of Johnson County. About 19 percent of sites in 2010 (four sites) were fully supporting of aquatic life on the basis of the four metrics used by Kansas Department of Health and Environment to categorize sites. This is a notable difference compared to previous years when no sites (in 2003 and 2004) or just one site (in 2007) was fully supporting of aquatic life. Multimetric macroinvertebrate scores improved at the Big Bull Creek site where wastewater discharges were reduced in 2007. Environmental variables that consistently were highly negatively correlated with biological conditions were percent impervious surface and percent urban land use. In addition, density of stormwater outfall points adjacent to streams was significantly negatively correlated with biological conditions. Specific conductance of water and sum of PAH concentrations in streambed sediment also were significantly negatively correlated with biological conditions. Total nitrogen in water and total phosphorus in streambed sediment were correlated with most of the invertebrate variables, which is a notable difference from previous analyses using smaller datasets, in which nutrient relations were weak or not detected. The most important habitat variables were sinuosity, length and continuity of natural buffers, riffle substrate embeddedness, and substrate cover diversity, each of which was correlated with all invertebrate metrics including a 10-metric combined score. Correlation analysis indicated that if riparian and in-stream habitat conditions improve then so might invertebrate communities and stream biological quality. Sixty-two percent of the variance in macroinvertebrate community metrics was explained by the single environmental factor, percent impervious surface. Invertebrate responses to urbanization in Johnson County indicated linearity rather than identifiable thresholds. Multiple linear regression models developed for each of the four macroinvertebrate metrics used to determine aquatic-life-support status indicated that percent impervious surface, as a measure of urban land use, explained 34 to 67 percent of the variability in biological communities. Results indicate that although multiple factors are correlated with stream quality degradation, general urbanization, as indicated by impervious surface area or urban land use, consistently is determined to be the fundamental factor causing change in stream quality. Effects of urbanization on Johnson County streams are similar to effects described in national studies that assess effects of urbanization on stream health. Individually important environmental factors such as specific conductance of water, PAHs in streambed sediment, and stream buffer conditions, are affected by urbanization and, collectively, all contribute to stream impairments. Policies and management practices that may be most important in protecting the health of streams in Johnson County are those minimizing the effects of impervious surface, protecting stream corridors, and decreasing the loads of sediment, nutrients, and toxic chemicals that directly enter streams through stormwater runoff and discharges.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20125279","collaboration":"Prepared in cooperation with the Johnson County Stormwater Management Program","usgsCitation":"Rasmussen, T.J., Stone, M.S., Poulton, B.C., and Graham, J.L., 2012, Quality of streams in Johnson County, Kansas, 2002--10: U.S. Geological Survey Scientific Investigations Report 2012-5279, vii, 103 p.; col. ill.; maps (col.), https://doi.org/10.3133/sir20125279.","productDescription":"vii, 103 p.; col. ill.; maps (col.)","startPage":"i","endPage":"103","numberOfPages":"116","onlineOnly":"Y","additionalOnlineFiles":"N","temporalStart":"2002-01-01","temporalEnd":"2010-12-31","costCenters":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"links":[{"id":266322,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2012/5279/sir12_5279.pdf"},{"id":266320,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2012/5279/"},{"id":266323,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/SIR_2012_5279.GIF"}],"country":"United States","state":"Kansas","county":"Johnson County","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -95.0565,38.7376 ], [ -95.0565,39.0616 ], [ -94.6074,39.0616 ], [ -94.6074,38.7376 ], [ -95.0565,38.7376 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5101147be4b033b1feeb2c08","contributors":{"authors":[{"text":"Rasmussen, Teresa J. 0000-0002-7023-3868 rasmuss@usgs.gov","orcid":"https://orcid.org/0000-0002-7023-3868","contributorId":3336,"corporation":false,"usgs":true,"family":"Rasmussen","given":"Teresa","email":"rasmuss@usgs.gov","middleInitial":"J.","affiliations":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"preferred":true,"id":472256,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stone, Mandy S.","contributorId":97791,"corporation":false,"usgs":true,"family":"Stone","given":"Mandy","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":472257,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Poulton, Barry C. 0000-0002-7219-4911 bpoulton@usgs.gov","orcid":"https://orcid.org/0000-0002-7219-4911","contributorId":2421,"corporation":false,"usgs":true,"family":"Poulton","given":"Barry","email":"bpoulton@usgs.gov","middleInitial":"C.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":472255,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Graham, Jennifer L. 0000-0002-6420-9335 jlgraham@usgs.gov","orcid":"https://orcid.org/0000-0002-6420-9335","contributorId":1769,"corporation":false,"usgs":true,"family":"Graham","given":"Jennifer","email":"jlgraham@usgs.gov","middleInitial":"L.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":472254,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70042472,"text":"70042472 - 2012 - Bathythermal habitat use by strains of Great Lakes- and Finger Lakes-origin lake trout in Lake Huron after a change in prey fish abundance and composition","interactions":[],"lastModifiedDate":"2013-02-28T14:55:35","indexId":"70042472","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3624,"text":"Transactions of the American Fisheries Society","active":true,"publicationSubtype":{"id":10}},"title":"Bathythermal habitat use by strains of Great Lakes- and Finger Lakes-origin lake trout in Lake Huron after a change in prey fish abundance and composition","docAbstract":"A study conducted in Lake Huron during October 1998–June 2001 found that strains of Great Lakes-origin (GLO) lake trout <i>Salvelinus namaycush</i> occupied significantly higher temperatures than did Finger Lakes-origin (FLO; New York) lake trout based on data from archival (or data storage) telemetry tags that recorded only temperature. During 2002 and 2003, we implanted archival tags that recorded depth as well as temperature in GLO and FLO lake trout in Lake Huron. Data subsequently recorded by those tags spanned 2002–2005. Based on those data, we examined whether temperatures and depths occupied by GLO and FLO lake trout differed during 2002–2005. Temperatures occupied during those years were also compared with occupied temperatures reported for 1998–2001, before a substantial decline in prey fish biomass. Temperatures occupied by GLO lake trout were again significantly higher than those occupied by FLO lake trout. This result supports the conclusion of the previous study. The GLO lake trout also occupied significantly shallower depths than FLO lake trout. In 2002–2005, both GLO and FLO lake trout occupied significantly lower temperatures than they did in 1998–2001. Aside from the sharp decline in prey fish biomass between study periods, the formerly abundant pelagic alewife Alosa pseudoharengus virtually disappeared and the demersal round goby Neogobius melanostomus invaded the lake and became locally abundant. The lower temperatures occupied by lake trout in Lake Huron during 2002–2005 may be attributable to changes in the composition of the prey fish community, food scarcity (i.e., a retreat to cooler water could increase conversion efficiency), or both.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Transactions of the American Fisheries Society","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Taylor & Francis Online","publisherLocation":"Philadelphia, PA","doi":"10.1080/00028487.2011.651069","usgsCitation":"Bergstedt, R.A., Argyle, R.L., Krueger, C., and Taylor, W., 2012, Bathythermal habitat use by strains of Great Lakes- and Finger Lakes-origin lake trout in Lake Huron after a change in prey fish abundance and composition: Transactions of the American Fisheries Society, v. 141, no. 2, p. 263-274, https://doi.org/10.1080/00028487.2011.651069.","productDescription":"12 p.","startPage":"263","endPage":"274","ipdsId":"IP-019052","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":268586,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1080/00028487.2011.651069"},{"id":268589,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Lake Huron","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -84.71,42.92 ], [ -84.71,46.04 ], [ -81.63,46.04 ], [ -81.63,42.92 ], [ -84.71,42.92 ] ] ] } } ] }","volume":"141","issue":"2","noUsgsAuthors":false,"publicationDate":"2012-02-14","publicationStatus":"PW","scienceBaseUri":"51308a7be4b04c194073adaf","contributors":{"authors":[{"text":"Bergstedt, Roger A. rbergstedt@usgs.gov","contributorId":4174,"corporation":false,"usgs":true,"family":"Bergstedt","given":"Roger","email":"rbergstedt@usgs.gov","middleInitial":"A.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":471603,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Argyle, Ray L.","contributorId":9993,"corporation":false,"usgs":true,"family":"Argyle","given":"Ray","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":471604,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Krueger, Charles C.","contributorId":67821,"corporation":false,"usgs":false,"family":"Krueger","given":"Charles C.","affiliations":[{"id":7019,"text":"Great Lakes Fishery Commission","active":true,"usgs":false}],"preferred":false,"id":471606,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Taylor, William W.","contributorId":49735,"corporation":false,"usgs":false,"family":"Taylor","given":"William W.","affiliations":[],"preferred":false,"id":471605,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70044410,"text":"70044410 - 2012 - Resolving hyporheic and groundwater components of streambed water flux","interactions":[],"lastModifiedDate":"2013-04-09T15:25:50","indexId":"70044410","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3722,"text":"Water Resources Research","onlineIssn":"1944-7973","printIssn":"0043-1397","active":true,"publicationSubtype":{"id":10}},"title":"Resolving hyporheic and groundwater components of streambed water flux","docAbstract":"Hyporheic and groundwater fluxes typically occur together in permeable sediments beneath flowing stream water. However, streambed water fluxes quantified using the thermal method are usually interpreted as representing either groundwater or hyporheic fluxes. Our purpose was to improve understanding of co-occurring groundwater and hyporheic fluxes using streambed temperature measurements and analysis of one-dimensional heat transport in shallow streambeds. First, we examined how changes in hyporheic and groundwater fluxes affect their relative magnitudes by reevaluating previously published simulations. These indicated that flux magnitudes are largely independent until a threshold is crossed, past which hyporheic fluxes are diminished by much larger (1000-fold) groundwater fluxes. We tested accurate quantification of co-occurring fluxes using one-dimensional approaches that are appropriate for analyzing streambed temperature data collected at field sites. The thermal analytical method, which uses an analytical solution to the one-dimensional heat transport equation, was used to analyze results from a numerical heat transport model, in which hyporheic flow was represented as increased thermal dispersion at shallow depths. We found that co-occurring groundwater and hyporheic fluxes can be quantified in streambeds, although not always accurately. For example, using a temperature time series collected in a sandy streambed, we found that hyporheic and groundwater flow could both be detected when thermal dispersion due to hyporheic flow was significant compared to thermal conduction. We provide guidance for when thermal data can be used to quantify both hyporheic and groundwater fluxes, and we show that neglecting thermal dispersion may affect accuracy and interpretation of estimated streambed water fluxes.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Water Resources Research","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"AGU","publisherLocation":"Washington, D.C.","doi":"10.1029/2011WR011784","usgsCitation":"Bhaskar, A., Harvey, J.W., and Henry, E.J., 2012, Resolving hyporheic and groundwater components of streambed water flux: Water Resources Research, v. 48, no. 8, W08524, https://doi.org/10.1029/2011WR011784.","productDescription":"W08524","ipdsId":"IP-039262","costCenters":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"links":[{"id":474130,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2011wr011784","text":"Publisher Index Page"},{"id":270719,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1029/2011WR011784"},{"id":270721,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"48","issue":"8","noUsgsAuthors":false,"publicationDate":"2012-08-29","publicationStatus":"PW","scienceBaseUri":"51653872e4b077fa94dae017","contributors":{"authors":[{"text":"Bhaskar, Aditi S.","contributorId":62488,"corporation":false,"usgs":true,"family":"Bhaskar","given":"Aditi S.","affiliations":[],"preferred":false,"id":475539,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Harvey, Judson W. 0000-0002-2654-9873 jwharvey@usgs.gov","orcid":"https://orcid.org/0000-0002-2654-9873","contributorId":1796,"corporation":false,"usgs":true,"family":"Harvey","given":"Judson","email":"jwharvey@usgs.gov","middleInitial":"W.","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":475537,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Henry, Eric J.","contributorId":44810,"corporation":false,"usgs":true,"family":"Henry","given":"Eric","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":475538,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70042805,"text":"70042805 - 2012 - Strontium isotope systematics of mixing groundwater and oil-field brine at Goose Lake in northeastern Montana, USA","interactions":[],"lastModifiedDate":"2017-06-29T16:27:17","indexId":"70042805","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":835,"text":"Applied Geochemistry","active":true,"publicationSubtype":{"id":10}},"title":"Strontium isotope systematics of mixing groundwater and oil-field brine at Goose Lake in northeastern Montana, USA","docAbstract":"Groundwater, surface water, and soil in the Goose Lake oil field in northeastern Montana have been affected by Cl<sup>−</sup>-rich oil-field brines during long-term petroleum production. Ongoing multidisciplinary geochemical and geophysical studies have identified the degree and local extent of interaction between brine and groundwater. Fourteen samples representing groundwater, surface water, and brine were collected for Sr isotope analyses to evaluate the usefulness of <sup>87</sup>Sr/<sup>86</sup>Sr in detecting small amounts of brine. Differences in Sr concentrations and <sup>87</sup>Sr/<sup>86</sup>Sr are optimal at this site for the experiment. Strontium concentrations range from 0.13 to 36.9 mg/L, and corresponding <sup>87</sup>Sr/<sup>86</sup>Sr values range from 0.71097 to 0.70828. The local brine has 168 mg/L Sr and a <sup>87</sup>Sr/<sup>86</sup>Sr value of 0.70802. Mixing relationships are evident in the data set and illustrate the sensitivity of Sr in detecting small amounts of brine in groundwater. The location of data points on a Sr isotope-concentration plot is readily explained by an evaporation-mixing model. The model is supported by the variation in concentrations of most of the other solutes.","language":"English","publisher":"Elsevier","publisherLocation":"Amsterdam, Netherlands","doi":"10.1016/j.apgeochem.2012.08.004","usgsCitation":"Peterman, Z., Thamke, J., Futa, K., and Preston, T., 2012, Strontium isotope systematics of mixing groundwater and oil-field brine at Goose Lake in northeastern Montana, USA: Applied Geochemistry, v. 27, no. 12, p. 2403-2408, https://doi.org/10.1016/j.apgeochem.2012.08.004.","productDescription":"6 p.","startPage":"2403","endPage":"2408","ipdsId":"IP-038279","costCenters":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true},{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":266395,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.apgeochem.2012.08.004"},{"id":266396,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, United States","state":"Montana","otherGeospatial":"Goose Lake","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -115.0,40.0 ], [ -115.0,55.0 ], [ -90.0,55.0 ], [ -90.0,40.0 ], [ -115.0,40.0 ] ] ] } } ] }","volume":"27","issue":"12","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5102662be4b0d4f5ea817c5f","contributors":{"authors":[{"text":"Peterman, Zell E. 0000-0002-5694-8082 peterman@usgs.gov","orcid":"https://orcid.org/0000-0002-5694-8082","contributorId":620,"corporation":false,"usgs":true,"family":"Peterman","given":"Zell E.","email":"peterman@usgs.gov","affiliations":[{"id":218,"text":"Denver Federal Center","active":false,"usgs":true}],"preferred":false,"id":472304,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Thamke, Joanna N. 0000-0002-6917-1946 jothamke@usgs.gov","orcid":"https://orcid.org/0000-0002-6917-1946","contributorId":1012,"corporation":false,"usgs":true,"family":"Thamke","given":"Joanna N.","email":"jothamke@usgs.gov","affiliations":[{"id":493,"text":"Office of Ground Water","active":true,"usgs":true},{"id":5050,"text":"WY-MT Water Science Center","active":true,"usgs":true}],"preferred":true,"id":472305,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Futa, Kiyoto 0000-0001-8649-7510 kfuta@usgs.gov","orcid":"https://orcid.org/0000-0001-8649-7510","contributorId":619,"corporation":false,"usgs":true,"family":"Futa","given":"Kiyoto","email":"kfuta@usgs.gov","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":472303,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Preston, Todd","contributorId":81379,"corporation":false,"usgs":true,"family":"Preston","given":"Todd","affiliations":[],"preferred":false,"id":472306,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70044369,"text":"70044369 - 2012 - Holocene behavior of the Brigham City segment: implications for forecasting the next large-magnitude earthquake on the Wasatch fault zone, Utah","interactions":[],"lastModifiedDate":"2017-02-11T13:25:37","indexId":"70044369","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2012","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":"Holocene behavior of the Brigham City segment: implications for forecasting the next large-magnitude earthquake on the Wasatch fault zone, Utah","docAbstract":"The Brigham City segment (BCS), the northernmost Holocene‐active segment of the Wasatch fault zone (WFZ), is considered a likely location for the next big earthquake in northern Utah. We refine the timing of the last four surface‐rupturing (~Mw 7) earthquakes at several sites near Brigham City (BE1, 2430±250; BE2, 3490±180; BE3, 4510±530; and BE4, 5610±650 cal yr B.P.) and calculate mean recurrence intervals (1060–1500  yr) that are greatly exceeded by the elapsed time (~2500  yr) since the most recent surface‐rupturing earthquake (MRE). An additional rupture observed at the Pearsons Canyon site (PC1, 1240±50 cal yr B.P.) near the southern segment boundary is probably spillover rupture from a large earthquake on the adjacent Weber segment. Our seismic moment calculations show that the PC1 rupture reduced accumulated moment on the BCS about 22%, a value that may have been enough to postpone the next large earthquake. However, our calculations suggest that the segment currently has accumulated more than twice the moment accumulated in the three previous earthquake cycles, so we suspect that additional interactions with the adjacent Weber segment contributed to the long elapse time since the MRE on the BCS. Our moment calculations indicate that the next earthquake is not only overdue, but could be larger than the previous four earthquakes. Displacement data show higher rates of latest Quaternary slip (~1.3  mm/yr) along the southern two‐thirds of the segment. The northern third likely has experienced fewer or smaller ruptures, which suggests to us that most earthquakes initiate at the southern segment boundary.","language":"English","publisher":"Seismological Society of America","publisherLocation":"El Cerrito, CA","doi":"10.1785/0120110214","usgsCitation":"Personius, S.F., DuRoss, C., and Crone, A.J., 2012, Holocene behavior of the Brigham City segment: implications for forecasting the next large-magnitude earthquake on the Wasatch fault zone, Utah: Bulletin of the Seismological Society of America, v. 102, no. 6, p. 2265-2281, https://doi.org/10.1785/0120110214.","productDescription":"17 p.","startPage":"2265","endPage":"2281","ipdsId":"IP-038012","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":268733,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Utah","volume":"102","issue":"6","noUsgsAuthors":false,"publicationDate":"2012-12-01","publicationStatus":"PW","scienceBaseUri":"5135d07ae4b03b8ec4025b58","contributors":{"authors":[{"text":"Personius, Stephen F. personius@usgs.gov","contributorId":1214,"corporation":false,"usgs":true,"family":"Personius","given":"Stephen","email":"personius@usgs.gov","middleInitial":"F.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":false,"id":475385,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"DuRoss, Christopher B.","contributorId":66532,"corporation":false,"usgs":true,"family":"DuRoss","given":"Christopher B.","affiliations":[],"preferred":false,"id":475386,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Crone, Anthony J. 0000-0002-3006-406X crone@usgs.gov","orcid":"https://orcid.org/0000-0002-3006-406X","contributorId":790,"corporation":false,"usgs":true,"family":"Crone","given":"Anthony","email":"crone@usgs.gov","middleInitial":"J.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":475384,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70045035,"text":"70045035 - 2012 - Abiotic and biotic controls of cryptobenthic fish assemblages across a Caribbean seascape","interactions":[],"lastModifiedDate":"2013-04-11T10:47:16","indexId":"70045035","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1338,"text":"Coral Reefs","active":true,"publicationSubtype":{"id":10}},"title":"Abiotic and biotic controls of cryptobenthic fish assemblages across a Caribbean seascape","docAbstract":"The majority of fish studies on coral reefs consider only non-cryptic species and, despite their functional importance, data on cryptic species are scarce. This study investigates inter-habitat variation in Caribbean cryptobenthic fishes by re-analysing a comprehensive data set from 58 rotenone stations around Buck Island, U.S. Virgin Islands. Boosted regression trees were used to associate the density and diversity of non-piscivorous cryptobenthic fishes, both in the entire data set and on reef habitats alone, with 14 abiotic and biotic variables. The study also models the habitat requirements of the three commonest species. Dead coral cover was the first or second most important variable in six of the eight models constructed. For example, within the entire data set, the number of species and total fish density increased approximately linearly with increasing dead coral cover. Dead coral was also important in multivariate analyses that discriminated 10 assemblages within the entire data set. On reef habitats, the number of species and total fish density increased dramatically when dead coral exceeded ~55 %. Live coral cover was typically less important for explaining variance in fish assemblages than dead coral, but live corals were important for maintaining high fish diversity. Coral species favoured by cryptobenthic species may be particularly susceptible to mortality, but dead coral may also provide abundant food and shelter for many fishes. Piscivore density was a key variable in the final models, but typically increased with increasing cryptobenthic fish diversity and abundance, suggesting both groups of fishes are responding to the same habitat variables. The density of territorial damselfishes reduced the number of cryptobenthic fish species on reef habitats. Finally, habitats delineated by standard remote sensing techniques supported distinct cryptobenthic fish assemblages, suggesting that such maps can be used as surrogates of general patterns of cryptic fish biodiversity in conservation planning.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Coral Reefs","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Springer","publisherLocation":"U.S. Geological Survey","doi":"10.1007/s00338-012-0938-4","usgsCitation":"Harborne, A., Jelks, H., Smith-Vaniz, W., and Rocha, L., 2012, Abiotic and biotic controls of cryptobenthic fish assemblages across a Caribbean seascape: Coral Reefs, v. 31, no. 4, p. 977-990, https://doi.org/10.1007/s00338-012-0938-4.","productDescription":"14 p.","startPage":"977","endPage":"990","ipdsId":"IP-034856","costCenters":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"links":[{"id":270814,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":270813,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s00338-012-0938-4"}],"otherGeospatial":"Caribbean Sea","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -88.8,7.9 ], [ -88.8,22.6 ], [ -59.5,22.6 ], [ -59.5,7.9 ], [ -88.8,7.9 ] ] ] } } ] }","volume":"31","issue":"4","noUsgsAuthors":false,"publicationDate":"2012-08-03","publicationStatus":"PW","scienceBaseUri":"5167db63e4b0ec0efb666ef8","contributors":{"authors":[{"text":"Harborne, A.R.","contributorId":29241,"corporation":false,"usgs":true,"family":"Harborne","given":"A.R.","affiliations":[],"preferred":false,"id":476674,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jelks, H.L. 0000-0002-0672-6297","orcid":"https://orcid.org/0000-0002-0672-6297","contributorId":12000,"corporation":false,"usgs":true,"family":"Jelks","given":"H.L.","affiliations":[],"preferred":false,"id":476672,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Smith-Vaniz, W. F.","contributorId":20684,"corporation":false,"usgs":true,"family":"Smith-Vaniz","given":"W. F.","affiliations":[],"preferred":false,"id":476673,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Rocha, L.A.","contributorId":52780,"corporation":false,"usgs":true,"family":"Rocha","given":"L.A.","email":"","affiliations":[],"preferred":false,"id":476675,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70045116,"text":"70045116 - 2012 - Developing ShakeCast statistical fragility analysis framework for rapid post-earthquake assessment","interactions":[],"lastModifiedDate":"2013-06-17T21:58:09","indexId":"70045116","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Developing ShakeCast statistical fragility analysis framework for rapid post-earthquake assessment","docAbstract":"When an earthquake occurs, the U. S. Geological Survey (USGS) ShakeMap estimates the extent of potentially damaging shaking and provides overall information regarding the affected areas. The USGS ShakeCast system is a freely-available, post-earthquake situational awareness application that automatically retrieves earthquake shaking data from ShakeMap, compares intensity measures against users’ facilities, sends notifications of potential damage to responsible parties, and generates facility damage assessment maps and other web-based products for emergency managers and responders. We describe notable improvements of the ShakeMap and the ShakeCast applications. We present a design for comprehensive fragility implementation, integrating spatially-varying ground-motion uncertainties into fragility curves for ShakeCast operations. For each facility, an overall inspection priority (or damage assessment) is assigned on the basis of combined component-based fragility curves using pre-defined logic. While regular ShakeCast users receive overall inspection priority designations for each facility, engineers can access the full fragility analyses for further evaluation.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Proceedings of the 15th World Conference on Earthquake Engineering (15WCEE), Lisbon, Portugal, September 24-28","largerWorkSubtype":{"id":12,"text":"Conference publication"},"language":"English","publisher":"IAEE","publisherLocation":"Tokyo, Japan","usgsCitation":"Lin, K., and Wald, D., 2012, Developing ShakeCast statistical fragility analysis framework for rapid post-earthquake assessment, <i>in</i> Proceedings of the 15th World Conference on Earthquake Engineering (15WCEE), Lisbon, Portugal, September 24-28.","ipdsId":"IP-037875","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":273882,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":273881,"type":{"id":11,"text":"Document"},"url":"https://www.sciencebase.gov/confluence/download/attachments/204832834/15WCEE_ShakeCast.pdf"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51c02fe9e4b0ee1529ed3cc4","contributors":{"authors":[{"text":"Lin, K.-W.","contributorId":64775,"corporation":false,"usgs":true,"family":"Lin","given":"K.-W.","email":"","affiliations":[],"preferred":false,"id":476845,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wald, D.J. 0000-0002-1454-4514","orcid":"https://orcid.org/0000-0002-1454-4514","contributorId":43809,"corporation":false,"usgs":true,"family":"Wald","given":"D.J.","affiliations":[],"preferred":false,"id":476844,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70043572,"text":"70043572 - 2012 - Carbon dioxide stripping in aquaculture -- part III: model verification","interactions":[],"lastModifiedDate":"2013-03-25T15:31:14","indexId":"70043572","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":852,"text":"Aquacultural Engineering","active":true,"publicationSubtype":{"id":10}},"title":"Carbon dioxide stripping in aquaculture -- part III: model verification","docAbstract":"Based on conventional mass transfer models developed for oxygen, the use of the non-linear ASCE method, 2-point method, and one parameter linear-regression method were evaluated for carbon dioxide stripping data. For values of <em>K</em><em>L</em><em>a</em>CO<sub>2</sub> &lt; approximately 1.5/h, the 2-point or ASCE method are a good fit to experimental data, but the fit breaks down at higher values of <em>K</em><em>L</em><em>a</em>CO<sub>2</sub>. How to correct <em>K</em><em>L</em><em>a</em>CO<sub>2</sub> for gas phase enrichment remains to be determined. The one-parameter linear regression model was used to vary the C*<sub>CO<sub>2</sub></sub> over the test, but it did not result in a better fit to the experimental data when compared to the ASCE or fixed C*<sub>CO<sub>2</sub></sub> assumptions.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Aquacultural Engineering","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","publisherLocation":"Amsterdam, Netherlands","doi":"10.1016/j.aquaeng.2011.12.007","usgsCitation":"Colt, J., Watten, B., and Pfeiffer, T., 2012, Carbon dioxide stripping in aquaculture -- part III: model verification: Aquacultural Engineering, v. 47, p. 47-59, https://doi.org/10.1016/j.aquaeng.2011.12.007.","productDescription":"13 p.","startPage":"47","endPage":"59","ipdsId":"IP-036708","costCenters":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"links":[{"id":270025,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":270023,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.aquaeng.2011.12.007"}],"volume":"47","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"515171e4e4b087909f0bbe71","contributors":{"authors":[{"text":"Colt, John","contributorId":63695,"corporation":false,"usgs":true,"family":"Colt","given":"John","email":"","affiliations":[],"preferred":false,"id":473862,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Watten, Barnaby 0000-0002-2227-8623","orcid":"https://orcid.org/0000-0002-2227-8623","contributorId":97788,"corporation":false,"usgs":true,"family":"Watten","given":"Barnaby","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":false,"id":473863,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Pfeiffer, Tim","contributorId":34792,"corporation":false,"usgs":true,"family":"Pfeiffer","given":"Tim","email":"","affiliations":[],"preferred":false,"id":473861,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70045496,"text":"70045496 - 2012 - A Gibbs sampler for Bayesian analysis of site-occupancy data","interactions":[],"lastModifiedDate":"2013-04-19T21:15:12","indexId":"70045496","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2717,"text":"Methods in Ecology and Evolution","active":true,"publicationSubtype":{"id":10}},"title":"A Gibbs sampler for Bayesian analysis of site-occupancy data","docAbstract":"1. A Bayesian analysis of site-occupancy data containing covariates of species occurrence and species detection probabilities is usually completed using Markov chain Monte Carlo methods in conjunction with software programs that can implement those methods for any statistical model, not just site-occupancy models. Although these software programs are quite flexible, considerable experience is often required to specify a model and to initialize the Markov chain so that summaries of the posterior distribution can be estimated efficiently and accurately.\n\n2. As an alternative to these programs, we develop a Gibbs sampler for Bayesian analysis of site-occupancy data that include covariates of species occurrence and species detection probabilities. This Gibbs sampler is based on a class of site-occupancy models in which probabilities of species occurrence and detection are specified as probit-regression functions of site- and survey-specific covariate measurements.\n\n3. To illustrate the Gibbs sampler, we analyse site-occupancy data of the blue hawker, Aeshna cyanea (Odonata, Aeshnidae), a common dragonfly species in Switzerland. Our analysis includes a comparison of results based on Bayesian and classical (non-Bayesian) methods of inference. We also provide code (based on the R software program) for conducting Bayesian and classical analyses of site-occupancy data.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Methods in Ecology and Evolution","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Wiley","publisherLocation":"Hoboken, NJ","doi":"10.1111/j.2041-210X.2012.00237.x","usgsCitation":"Dorazio, R.M., and Rodriguez, D.T., 2012, A Gibbs sampler for Bayesian analysis of site-occupancy data: Methods in Ecology and Evolution, v. 3, no. 6, p. 1093-1098, https://doi.org/10.1111/j.2041-210X.2012.00237.x.","productDescription":"6 p.","startPage":"1093","endPage":"1098","ipdsId":"IP-037612","costCenters":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"links":[{"id":474173,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/j.2041-210x.2012.00237.x","text":"Publisher Index Page"},{"id":271274,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1111/j.2041-210X.2012.00237.x"},{"id":271275,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"3","issue":"6","noUsgsAuthors":false,"publicationDate":"2012-08-20","publicationStatus":"PW","scienceBaseUri":"51726763e4b0c173799e78fe","contributors":{"authors":[{"text":"Dorazio, Robert M. 0000-0003-2663-0468 bob_dorazio@usgs.gov","orcid":"https://orcid.org/0000-0003-2663-0468","contributorId":1668,"corporation":false,"usgs":true,"family":"Dorazio","given":"Robert","email":"bob_dorazio@usgs.gov","middleInitial":"M.","affiliations":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"preferred":false,"id":477638,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rodriguez, Daniel Taylor","contributorId":76619,"corporation":false,"usgs":true,"family":"Rodriguez","given":"Daniel","email":"","middleInitial":"Taylor","affiliations":[],"preferred":false,"id":477639,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70044817,"text":"70044817 - 2012 - Exploration review","interactions":[],"lastModifiedDate":"2013-04-29T08:58:39","indexId":"70044817","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2755,"text":"Mining Engineering","active":true,"publicationSubtype":{"id":10}},"title":"Exploration review","docAbstract":"This summary of international mineral exploration activities for the year 2011 draws upon available information from industry sources, published literature and U.S. Geological Survey (USGS) specialists. This summary provides data on exploration budgets by region and mineral commodity, identifies significant mineral discoveries and areas of mineral exploration, discusses government programs affecting the mineral exploration industry and presents surveys returned by companies primarily focused on precious (gold, platinum-group metals and silver) and base (copper, lead, nickel and zinc) metals.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Mining Engineering","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"SME","usgsCitation":"Wilburn, D., Rapstine, T., and Lee, E., 2012, Exploration review: Mining Engineering, v. 64, no. 5, p. 40-60.","productDescription":"21 p.","startPage":"40","endPage":"60","ipdsId":"IP-036880","costCenters":[{"id":432,"text":"National Minerals Information Center","active":true,"usgs":true}],"links":[{"id":271593,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"64","issue":"5","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"517f9668e4b0e41721f7a350","contributors":{"authors":[{"text":"Wilburn, D.R.","contributorId":98911,"corporation":false,"usgs":true,"family":"Wilburn","given":"D.R.","email":"","affiliations":[],"preferred":false,"id":476364,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rapstine, T.D.","contributorId":60103,"corporation":false,"usgs":true,"family":"Rapstine","given":"T.D.","email":"","affiliations":[],"preferred":false,"id":476363,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lee, E.C.","contributorId":16191,"corporation":false,"usgs":true,"family":"Lee","given":"E.C.","email":"","affiliations":[],"preferred":false,"id":476362,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70045107,"text":"70045107 - 2012 - Geomagnetic detection of the sectorial solar magnetic field and the historical peculiarity of minimum 23-24","interactions":[],"lastModifiedDate":"2013-04-17T20:28:09","indexId":"70045107","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1807,"text":"Geophysical Research Letters","active":true,"publicationSubtype":{"id":10}},"title":"Geomagnetic detection of the sectorial solar magnetic field and the historical peculiarity of minimum 23-24","docAbstract":"[1] Analysis is made of the geomagnetic-activityaaindex covering solar cycle 11 to the beginning of 24, 1868–2011. Autocorrelation shows 27.0-d recurrent geomagnetic activity that is well-known to be prominent during solar-cycle minima; some minima also exhibit a smaller amount of 13.5-d recurrence. Previous work has shown that the recent solar minimum 23–24 exhibited 9.0 and 6.7-d recurrence in geomagnetic and heliospheric data, but those recurrence intervals were not prominently present during the preceding minima 21–22 and 22–23. Using annual-averages and solar-cycle averages of autocorrelations of the historicalaadata, we put these observations into a long-term perspective: none of the 12 minima preceding 23–24 exhibited prominent 9.0 and 6.7-d geomagnetic activity recurrence. We show that the detection of these recurrence intervals can be traced to an unusual combination of sectorial spherical-harmonic structure in the solar magnetic field and anomalously low sunspot number. We speculate that 9.0 and 6.7-d recurrence is related to transient large-scale, low-latitude organization of the solar dynamo, such as seen in some numerical simulations.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Geophysical Research Letters","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"American Geophysical Union","doi":"10.1029/2011GL050702","usgsCitation":"Love, J.J., and Rigler, J., 2012, Geomagnetic detection of the sectorial solar magnetic field and the historical peculiarity of minimum 23-24: Geophysical Research Letters, v. 39, L04102, https://doi.org/10.1029/2011GL050702.","productDescription":"L04102","ipdsId":"IP-035584","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":474293,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2011gl050702","text":"Publisher Index Page"},{"id":271031,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":271029,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1029/2011GL050702"},{"id":271030,"type":{"id":11,"text":"Document"},"url":"https://geomag.usgs.gov/downloads/publications/2011GL050702.pdf"}],"country":"United States","volume":"39","noUsgsAuthors":false,"publicationDate":"2012-02-28","publicationStatus":"PW","scienceBaseUri":"516fc464e4b05024ef3cd3fc","contributors":{"authors":[{"text":"Love, Jeffrey J. 0000-0002-3324-0348 jlove@usgs.gov","orcid":"https://orcid.org/0000-0002-3324-0348","contributorId":760,"corporation":false,"usgs":true,"family":"Love","given":"Jeffrey","email":"jlove@usgs.gov","middleInitial":"J.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":476815,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rigler, J.","contributorId":28513,"corporation":false,"usgs":true,"family":"Rigler","given":"J.","email":"","affiliations":[],"preferred":false,"id":476816,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70045123,"text":"70045123 - 2012 - Comparison of soil thickness in a zero-order basin in the Oregon Coast Range using a soil probe and electrical resistivity tomography","interactions":[],"lastModifiedDate":"2018-03-08T15:55:19","indexId":"70045123","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2327,"text":"Journal of Geotechnical and Geoenvironmental Engineering","active":true,"publicationSubtype":{"id":10}},"title":"Comparison of soil thickness in a zero-order basin in the Oregon Coast Range using a soil probe and electrical resistivity tomography","docAbstract":"Accurate estimation of the soil thickness distribution in steepland drainage basins is essential for understanding ecosystem and subsurface response to infiltration. One important aspect of this characterization is assessing the heavy and antecedent rainfall conditions that lead to shallow landsliding. In this paper, we investigate the direct current (DC) resistivity method as a tool for quickly estimating soil thickness over a steep (33–40°) zero-order basin in the Oregon Coast Range, a landslide prone region. Point measurements throughout the basin showed bedrock depths between 0.55 and 3.2 m. Resistivity of soil and bedrock samples collected from the site was measured for degrees of saturation between 40 and 92%. Resistivity of the soil was typically higher than that of the bedrock for degrees of saturation lower than 70%. Results from the laboratory measurements and point-depth measurements were used in a numerical model to evaluate the resistivity contrast at the soil-bedrock interface. A decreasing-with-depth resistivity contrast was apparent at the interface in the modeling results. At the field site, three transects were surveyed where coincident ground truth measurements of bedrock depth were available, to test the accuracy of the method. The same decreasing-with-depth resistivity trend that was apparent in the model was also present in the survey data. The resistivity contour of between 1,000 and 2,000 Ωm that marked the top of the contrast was our interpreted bedrock depth in the survey data. Kriged depth-to-bedrock maps were created from both the field-measured ground truth obtained with a soil probe and interpreted depths from the resistivity tomography, and these were compared for accuracy graphically. Depths were interpolated as far as 16.5 m laterally from the resistivity survey lines with root mean squared error (RMSE) = 27 cm between the measured and interpreted depth at those locations. Using several transects and analysis of the subsurface material properties, the direct current (DC) resistivity method is shown to be able to delineate bedrock depth trends within the drainage basin.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Geotechnical and Geoenvironmental Engineering","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"ASCE","doi":"10.1061/(ASCE)GT.1943-5606.0000717","usgsCitation":"Morse, M.S., Lu, N., Godt, J.W., Revil, A., and Coe, J.A., 2012, Comparison of soil thickness in a zero-order basin in the Oregon Coast Range using a soil probe and electrical resistivity tomography: Journal of Geotechnical and Geoenvironmental Engineering, v. 138, no. 12, p. 1470-1482, https://doi.org/10.1061/(ASCE)GT.1943-5606.0000717.","productDescription":"13 p.","startPage":"1470","endPage":"1482","ipdsId":"IP-036774","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":272205,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":272204,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1061/(ASCE)GT.1943-5606.0000717"}],"country":"United States","state":"Oregon","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -124.61,42.0 ], [ -124.61,46.29 ], [ -116.46,46.29 ], [ -116.46,42.0 ], [ -124.61,42.0 ] ] ] } } ] }","volume":"138","issue":"12","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53cd5215e4b0b290850f4510","contributors":{"authors":[{"text":"Morse, Michael S.","contributorId":66987,"corporation":false,"usgs":true,"family":"Morse","given":"Michael","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":476873,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lu, Ning","contributorId":191360,"corporation":false,"usgs":false,"family":"Lu","given":"Ning","email":"","affiliations":[{"id":12620,"text":"U.S. Army Corp. of Engineers","active":true,"usgs":false}],"preferred":false,"id":476872,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Godt, Jonathan W. 0000-0002-8737-2493 jgodt@usgs.gov","orcid":"https://orcid.org/0000-0002-8737-2493","contributorId":1166,"corporation":false,"usgs":true,"family":"Godt","given":"Jonathan","email":"jgodt@usgs.gov","middleInitial":"W.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true},{"id":508,"text":"Office of the AD Hazards","active":true,"usgs":true}],"preferred":true,"id":476869,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Revil, André","contributorId":38879,"corporation":false,"usgs":true,"family":"Revil","given":"André","affiliations":[],"preferred":false,"id":476871,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Coe, Jeffrey A. 0000-0002-0842-9608 jcoe@usgs.gov","orcid":"https://orcid.org/0000-0002-0842-9608","contributorId":1333,"corporation":false,"usgs":true,"family":"Coe","given":"Jeffrey","email":"jcoe@usgs.gov","middleInitial":"A.","affiliations":[{"id":309,"text":"Geology and Geophysics Science Center","active":true,"usgs":true},{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":476870,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70044659,"text":"70044659 - 2012 - Bioenergetic response by steelhead to variation in diet, thermal habitat, and climate in the north Pacific Ocean","interactions":[],"lastModifiedDate":"2013-04-15T18:27:04","indexId":"70044659","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3624,"text":"Transactions of the American Fisheries Society","active":true,"publicationSubtype":{"id":10}},"title":"Bioenergetic response by steelhead to variation in diet, thermal habitat, and climate in the north Pacific Ocean","docAbstract":"Energetic responses of steelhead Oncorhynchus mykiss to climate-driven changes in marine conditions are expected to affect the species’ ocean distribution, feeding, growth, and survival. With a unique 18-year data series (1991–2008) for steelhead sampled in the open ocean, we simulated interannual variation in prey consumption and growth efficiency of steelhead using a bioenergetics model to evaluate the temperature-dependent growth response of steelhead to past climate events and to estimate growth potential of steelhead under future climate scenarios. Our results showed that annual ocean growth of steelhead is highly variable depending on prey quality, consumption rates, total consumption, and thermal experience. At optimal growing temperatures, steelhead can compensate for a low-energy diet by increasing consumption rates and consuming more prey, if available. Our findings suggest that steelhead have a narrow temperature window in which to achieve optimal growth, which is strongly influenced by climate-driven changes in ocean temperature.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Transactions of the American Fisheries Society","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Taylor & Francis","publisherLocation":"Philadelphia, PA","doi":"10.1080/00028487.2012.675914","usgsCitation":"Atcheson, M.E., Myers, K.W., Beauchamp, D.A., and Mantua, N.J., 2012, Bioenergetic response by steelhead to variation in diet, thermal habitat, and climate in the north Pacific Ocean: Transactions of the American Fisheries Society, v. 141, no. 4, p. 1081-1096, https://doi.org/10.1080/00028487.2012.675914.","productDescription":"16 p.","startPage":"1081","endPage":"1096","ipdsId":"IP-042595","costCenters":[{"id":621,"text":"Washington Cooperative Fish and Wildlife Research Unit","active":false,"usgs":true}],"links":[{"id":270956,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":270955,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1080/00028487.2012.675914"}],"otherGeospatial":"Pacific Ocean","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ 128.7,-85.6 ], [ 128.7,58.2 ], [ -66.5,58.2 ], [ -66.5,-85.6 ], [ 128.7,-85.6 ] ] ] } } ] }","volume":"141","issue":"4","noUsgsAuthors":false,"publicationDate":"2012-07-02","publicationStatus":"PW","scienceBaseUri":"516d2167e4b0411d430a89ef","contributors":{"authors":[{"text":"Atcheson, Margaret E.","contributorId":76211,"corporation":false,"usgs":true,"family":"Atcheson","given":"Margaret","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":476181,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Myers, Katherine W.","contributorId":32812,"corporation":false,"usgs":true,"family":"Myers","given":"Katherine","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":476180,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Beauchamp, David A. 0000-0002-3592-8381 fadave@usgs.gov","orcid":"https://orcid.org/0000-0002-3592-8381","contributorId":4205,"corporation":false,"usgs":true,"family":"Beauchamp","given":"David","email":"fadave@usgs.gov","middleInitial":"A.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":476179,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Mantua, Nathan J.","contributorId":83429,"corporation":false,"usgs":true,"family":"Mantua","given":"Nathan","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":476182,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
]}