{"pageNumber":"603","pageRowStart":"15050","pageSize":"25","recordCount":46883,"records":[{"id":70188867,"text":"70188867 - 2013 - Monte Carlo simulations of product distributions and contained metal estimates","interactions":[],"lastModifiedDate":"2018-02-15T14:30:08","indexId":"70188867","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2832,"text":"Natural Resources Research","onlineIssn":"1573-8981","printIssn":"1520-7439","active":true,"publicationSubtype":{"id":10}},"title":"Monte Carlo simulations of product distributions and contained metal estimates","docAbstract":"<p><span>Estimation of product distributions of two factors was simulated by conventional Monte Carlo techniques using factor distributions that were independent (uncorrelated). Several simulations using uniform distributions of factors show that the product distribution has a central peak approximately centered at the product of the medians of the factor distributions. Factor distributions that are peaked, such as Gaussian (normal) produce an even more peaked product distribution. Piecewise analytic solutions can be obtained for independent factor distributions and yield insight into the properties of the product distribution. As an example, porphyry copper grades and tonnages are now available in at least one public database and their distributions were analyzed. Although both grade and tonnage can be approximated with lognormal distributions, they are not exactly fit by them. The grade shows some nonlinear correlation with tonnage for the published database. Sampling by deposit from available databases of grade, tonnage, and geological details of each deposit specifies both grade and tonnage for that deposit. Any correlation between grade and tonnage is then preserved and the observed distribution of grades and tonnages can be used with no assumption of distribution form.</span></p>","language":"English","publisher":"Springer","doi":"10.1007/s11053-013-9206-8","usgsCitation":"Gettings, M.E., 2013, Monte Carlo simulations of product distributions and contained metal estimates: Natural Resources Research, v. 22, no. 3, p. 239-254, https://doi.org/10.1007/s11053-013-9206-8.","productDescription":"16 p.","startPage":"239","endPage":"254","ipdsId":"IP-045215","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":342941,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"22","issue":"3","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2013-04-12","publicationStatus":"PW","scienceBaseUri":"59536eaee4b062508e3c7ab7","contributors":{"authors":[{"text":"Gettings, Mark E. 0000-0002-2910-2321 mgetting@usgs.gov","orcid":"https://orcid.org/0000-0002-2910-2321","contributorId":602,"corporation":false,"usgs":true,"family":"Gettings","given":"Mark","email":"mgetting@usgs.gov","middleInitial":"E.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":700748,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70193443,"text":"70193443 - 2013 - Influence of sex and reproductive status on seasonal movement of Lake Sturgeon in Namakan Reservoir, Minnesota–Ontario","interactions":[],"lastModifiedDate":"2017-11-10T18:54:20","indexId":"70193443","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2013","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":"Influence of sex and reproductive status on seasonal movement of Lake Sturgeon in Namakan Reservoir, Minnesota–Ontario","docAbstract":"<p><span>We evaluated the influence of sex and reproductive condition on seasonal distribution and movement patterns of Lake Sturgeon&nbsp;</span><i>Acipenser fulvescens</i><span><span>&nbsp;</span>in Namakan Reservoir, Minnesota–Ontario. Blood samples were collected from 133 Lake Sturgeon prior to spawning and plasma concentrations of testosterone and estradiol-17ß were analyzed using radioimmunoassay. Steroid concentrations were used to determine sex and the reproductive stage of each sturgeon. A subset of 60 adults were implanted with acoustic transmitters prior to spawning in 2007 and 2008. Movement was monitored using an array of 15 stationary receivers covering U.S. and Canadian waters of Namakan Reservoir and its tributaries. Of the monitored sturgeon, there was no significant difference in the minimum distance traveled between sexes or among seasons. Site residency did not differ between sexes but differed significantly among seasons, and Lake Sturgeon of both sexes had higher residency during winter (mean = 24 d). Five females implanted with transmitters were characterized as presumed reproductive and 14 as nonreproductive based on plasma steroid concentrations. In general, movement patterns (i.e., migration) of presumed reproductive females corresponded positively with availability of spawning habitat in tributaries. Moreover, presumed reproductive females traveled greater distances than nonreproductive females, particularly during prespawn, spawning, and fall time periods. Distance traveled by presumed reproductive females was highest in the fall compared with other seasons and may be linked to increased energy requirements during late oogenesis before spawning in spring. Combining movement data with information on Lake Sturgeon reproductive status and habitat suitability provided a robust approach for understanding their seasonal migration patterns and identifying spawning locations.</span></p>","language":"English","publisher":"Taylor & Francis","doi":"10.1080/00028487.2012.720625","usgsCitation":"Shaw, S.L., Chipps, S.R., Windels, S.K., Webb, M.A., and McLeod, D.T., 2013, Influence of sex and reproductive status on seasonal movement of Lake Sturgeon in Namakan Reservoir, Minnesota–Ontario: Transactions of the American Fisheries Society, v. 142, no. 1, p. 10-20, https://doi.org/10.1080/00028487.2012.720625.","productDescription":"11 p.","startPage":"10","endPage":"20","ipdsId":"IP-034024","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":348599,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, United States","state":"Minnesota, Ontario","otherGeospatial":"Namakan Reservoir","volume":"142","issue":"1","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2012-12-04","publicationStatus":"PW","scienceBaseUri":"5a06c8d7e4b09af898c86181","contributors":{"authors":[{"text":"Shaw, Stephanie L.","contributorId":199420,"corporation":false,"usgs":false,"family":"Shaw","given":"Stephanie","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":721653,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Chipps, Steven R. 0000-0001-6511-7582 steve_chipps@usgs.gov","orcid":"https://orcid.org/0000-0001-6511-7582","contributorId":2243,"corporation":false,"usgs":true,"family":"Chipps","given":"Steven","email":"steve_chipps@usgs.gov","middleInitial":"R.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":721654,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Windels, Steve K.","contributorId":182422,"corporation":false,"usgs":false,"family":"Windels","given":"Steve","email":"","middleInitial":"K.","affiliations":[{"id":18939,"text":"Voyageurs National Park","active":true,"usgs":false}],"preferred":false,"id":721655,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Webb, Molly A. H.","contributorId":152118,"corporation":false,"usgs":false,"family":"Webb","given":"Molly","email":"","middleInitial":"A. H.","affiliations":[{"id":18870,"text":"Bozeman Fish Technology Center, U.S. Fish and Wildlife Service, Bozeman, Montana 59715","active":true,"usgs":false}],"preferred":false,"id":721656,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"McLeod, Darryl T.","contributorId":199419,"corporation":false,"usgs":false,"family":"McLeod","given":"Darryl","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":721657,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70148073,"text":"70148073 - 2013 - Demography and population status of polar bears in western Hudson Bay","interactions":[],"lastModifiedDate":"2016-08-16T14:07:46","indexId":"70148073","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":4,"text":"Other Government Series"},"title":"Demography and population status of polar bears in western Hudson Bay","docAbstract":"<ul>\n<li>We evaluated the demography and population status of the Western Hudson Bay (WH) polar bear subpopulation for the period 1984-2011, using live-recapture data from research studies and management actions, and dead-recovery data from polar bears harvested for subsistence purposes or removed during human-bear conflicts.</li>\n<li>We used a Bayesian implementation of multistate capture-recapture models, coupled with a matrix-based demographic projection model, to integrate several types of data and to incorporate sampling uncertainty, and demographic and environmental stochasticity across the polar bear life cycle. This approach allowed for estimation of a suite of vital rates, including survival and reproduction. These vital rates were used to parameterize a Bayesian population model to evaluate population trends and project potential population outcomes under different environmental scenarios.</li>\n<li>Survival of female polar bears of all age classes was significantly correlated with sea ice conditions; particularly with the timing of sea ice break-up in the spring and formation in the fall and the interaction of the two. This is consistent with previous findings linking body condition and survival of WH polar bears to environmental changes associated with climatic warming and supports the ecological dependence of polar bears on the availability of sea ice.</li>\n<li>Survival of male polar bears was not correlated with sea ice conditions. This was likely because a higher proportion of mortality for males was caused by humans rather than by natural factors. For example, approximately 73% of mortality for young male bears (i.e., 5-9 years old) was due to direct human-caused removals, largely because of sex selectivity in the subsistence harvest.</li>\n<li>The declining trend in size of the WH subpopulation over the period 1987-2004 was similar to a previous analysis (Regehr et al. 2007), suggesting consistency between the two demographic evaluations. Point estimates of abundance were somewhat lower using the updated statistical approach. It is important to recognize that the analyzed data were not collected in a manner that is optimal for estimating abundance and that the goal of the current analysis was to estimate vital rates and demographic trends.</li>\n<li>Estimates of population growth rate were also derived using a Bayesian population model based on estimated survival and reproductive rates from the multistate capture-recapture model. For the recent decade 2001-2011, the growth rate of the female segment of the population was 1.02 (95% CI = 0.98-1.06). Apparently stable to positive population growth for females may be due in large part to nonlinearity (i.e., short-term stability) in the long-term observed and forecasted trend toward earlier sea ice break-up in western Hudson Bay.</li>\n<li>The 2011 abundance estimate from this analysis was 806 bears with a 95% Bayesian credible interval of 653-984. This is lower than, but broadly consistent with, the abundance estimate of 1,030 (95% confidence interval = 745-1406) from a 2011 aerial survey (Stapleton et al. 2014). The capture-recapture and aerial survey approaches have different spatial and temporal coverage of the WH subpopulation and, consequently, the effective study population considered by each approach is different.</li>\n</ul>","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"Research Report","largerWorkSubtype":{"id":4,"text":"Other Government Series"},"language":"English","publisher":"Environment Canada","usgsCitation":"Lunn, N., Regher, E.V., Servanty, S., Converse, S.J., Richardson, E.S., and Stirling, I., 2013, Demography and population status of polar bears in western Hudson Bay, 50 p.","productDescription":"50 p.","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-058521","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":326582,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57b43942e4b03bcb01039fa5","contributors":{"authors":[{"text":"Lunn, Nicholas J.","contributorId":78421,"corporation":false,"usgs":true,"family":"Lunn","given":"Nicholas J.","affiliations":[],"preferred":false,"id":547162,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Regher, Eric V","contributorId":140838,"corporation":false,"usgs":false,"family":"Regher","given":"Eric","email":"","middleInitial":"V","affiliations":[{"id":6661,"text":"US Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":547165,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Servanty, Sabrina","contributorId":53296,"corporation":false,"usgs":true,"family":"Servanty","given":"Sabrina","affiliations":[],"preferred":false,"id":547164,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Converse, Sarah J. 0000-0002-3719-5441 sconverse@usgs.gov","orcid":"https://orcid.org/0000-0002-3719-5441","contributorId":3513,"corporation":false,"usgs":true,"family":"Converse","given":"Sarah","email":"sconverse@usgs.gov","middleInitial":"J.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":false,"id":547163,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Richardson, Evan S.","contributorId":139901,"corporation":false,"usgs":false,"family":"Richardson","given":"Evan","email":"","middleInitial":"S.","affiliations":[{"id":6962,"text":"Science and Technology Branch, Environment Canada","active":true,"usgs":false}],"preferred":false,"id":547166,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Stirling, Ian","contributorId":72079,"corporation":false,"usgs":false,"family":"Stirling","given":"Ian","email":"","affiliations":[{"id":6962,"text":"Science and Technology Branch, Environment Canada","active":true,"usgs":false}],"preferred":false,"id":547167,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70042978,"text":"70042978 - 2013 - Priority data on marine and estuarine resources within northeastern National Parks: Inventory and acquisition needs","interactions":[],"lastModifiedDate":"2016-12-06T15:05:30","indexId":"70042978","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":1,"text":"Federal Government Series"},"seriesTitle":{"id":53,"text":"Natural Resource Report","active":false,"publicationSubtype":{"id":1}},"seriesNumber":"NPS/NCBN/NRR—2013/612","title":"Priority data on marine and estuarine resources within northeastern National Parks: Inventory and acquisition needs","docAbstract":"The purpose of this project was to guide development of a strategy for the inventory and mapping of submerged natural resources associated within 10 coastal parks of the National Park Service (NPS) Northeast Region (NER; see Table 1). Priority data needs were identified by the NER Ocean Stewardship Task Force.  The majority of the NER priority data needs involve the biotic, chemical, and geological characterization of the seabed.  Taken collectively, this demands a consistent and unified approach to habitat classification.  The Coastal and Marine Ecological Classification Standard (CMECS) is endorsed by the Federal Geographic Data Committee (FGDC-STD-018) for classifying ecological units in coastal and marine environments, and is recommended as a framework for acquiring and organizing NER data.  We prepared an inventory of existing data on priority marine and estuarine natural resources within the ten NER coastal parks.  This report describes the data and information sources relevant to each park and identifies gaps in available data.  Overwhelmingly and uniformly across all parks, the most pressing needs are consistent, high-resolution bathymetry and seafloor characterization data.  Approaches for acquiring these data using an integrated, multi-resolution sampling framework are recommended.","language":"English","publisher":"National Park Service","publisherLocation":"Fort Collins, CO","usgsCitation":"Hart, T.E., Neckles, H.A., and Kopp, B.S., 2013, Priority data on marine and estuarine resources within northeastern National Parks: Inventory and acquisition needs: Natural Resource Report NPS/NCBN/NRR—2013/612, xix, 204 p.","productDescription":"xix, 204 p.","numberOfPages":"228","ipdsId":"IP-041789","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":331593,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":331592,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://irma.nps.gov/DataStore/Reference/Profile/2192248","linkFileType":{"id":1,"text":"pdf"}}],"country":"UNITED STATES","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5847dc7ee4b06d80b7af6ab5","contributors":{"authors":[{"text":"Hart, Tracy E.","contributorId":177209,"corporation":false,"usgs":false,"family":"Hart","given":"Tracy","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":655022,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Neckles, Hilary A. 0000-0002-5662-2314 hneckles@usgs.gov","orcid":"https://orcid.org/0000-0002-5662-2314","contributorId":3821,"corporation":false,"usgs":true,"family":"Neckles","given":"Hilary","email":"hneckles@usgs.gov","middleInitial":"A.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":655023,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kopp, Blaine S.","contributorId":99648,"corporation":false,"usgs":true,"family":"Kopp","given":"Blaine","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":655024,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70046264,"text":"70046264 - 2013 - Trends in landscape and vegetation change and implications for the Santa Cruz Watershed","interactions":[],"lastModifiedDate":"2017-04-25T09:54:37","indexId":"70046264","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":4,"text":"Book"},"publicationSubtype":{"id":12,"text":"Conference publication"},"title":"Trends in landscape and vegetation change and implications for the Santa Cruz Watershed","docAbstract":"<p>Monitoring and characterizing the interactive effects of land use and climate on land surface processes is a primary focus of land change science, and of particular concern in arid Wells Distribution in Shallow Groundwater Areas Pumping Trends Increase Streamflow Extent Declines 27 environments where both landscapes and livelihoods can be impacted by short-term climate variability. Using a multi-observational approach to land-change analysis that included landownership data as a proxy for land-use practices, multitemporal land-cover maps, and repeat photography dating to the late 19th century, we examine changing spatial and temporal distributions of two vegetation types with high conservation value in the southwestern United States: grasslands and riparian vegetation. Our study area is the bi-national Santa Cruz Watershed, a topographically complex watershed that straddles the Sonoran Desert and the Madrean Archipelago Ecoregions. In this presentation we focus on historical changes in vegetation and land use in grasslands and riparian areas of the Madrean Ecoregion (San Raphael Valley, Cienega Creek, Sonoita), and compare changes in these areas to changes in the warmer and drier Sonoran Ecoregion. Analysis of historical photography confirms major 20th century vegetation shifts documented in other research: woody plant encroachment, desertification of grasslands, and changing riparian and xeroriparian vegetation occurred in both ecoregions following human settlement. However, vegetation changes over the past decade appear to be more subtle and some of the past trajectories appear to be reversing; most notable are recent mesquite declines in xeroriparian and upland areas, and changes from shrubland to grassland area in the Madrean ecoregion. Land cover changes were temporally variable, reflecting broad climate changes. The most dynamic cover changes occurred during the period from 1989 to 1999, a period with two intense droughts. The degree of vegetation change driven by climate was related to topographic setting: vegetation declines were greater per unit area in the lower elevation Sonoran ecoregion where temperatures are higher and precipitation lower than in the Madrean. Fine-scale changes within these broad climate patterns were likely the result of land use practices: declines were highest on state lands (grazing) and increases highest on private ranches and some federal lands (active mesquite removal and watershed restoration). </p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Proceedings of the Science on the Sonoita Plain Symposium","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"Science on the Sonoita Plain Symposium 2013","conferenceDate":"June 8, 2013","conferenceLocation":"Elgin, AZ","language":"English","usgsCitation":"Villarreal, M.L., Norman, L.M., Webb, R.H., and Turner, R., 2013, Trends in landscape and vegetation change and implications for the Santa Cruz Watershed, 3 p.","productDescription":"3 p.","startPage":"26","endPage":"28","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-046117","costCenters":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"links":[{"id":340234,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59006067e4b0e85db3a5de0d","contributors":{"authors":[{"text":"Villarreal, Miguel L. 0000-0003-0720-1422 mvillarreal@usgs.gov","orcid":"https://orcid.org/0000-0003-0720-1422","contributorId":1424,"corporation":false,"usgs":true,"family":"Villarreal","given":"Miguel","email":"mvillarreal@usgs.gov","middleInitial":"L.","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":692720,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"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":692721,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Webb, Robert H. rhwebb@usgs.gov","contributorId":141216,"corporation":false,"usgs":true,"family":"Webb","given":"Robert","email":"rhwebb@usgs.gov","middleInitial":"H.","affiliations":[],"preferred":false,"id":692722,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Turner, Raymond M.","contributorId":7383,"corporation":false,"usgs":true,"family":"Turner","given":"Raymond M.","affiliations":[],"preferred":false,"id":692723,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70187685,"text":"70187685 - 2013 - Multitemporal cross-calibration of the Terra MODIS and Landsat 7 ETM+ reflective solar bands","interactions":[],"lastModifiedDate":"2017-05-15T14:42:57","indexId":"70187685","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1944,"text":"IEEE Transactions on Geoscience and Remote Sensing","active":true,"publicationSubtype":{"id":10}},"title":"Multitemporal cross-calibration of the Terra MODIS and Landsat 7 ETM+ reflective solar bands","docAbstract":"<p><span>In recent years, there has been a significant increase in the use of remotely sensed data to address global issues. With the open data policy, the data from the Moderate Resolution Imaging Spectroradiometer (MODIS) and Enhanced Thematic Mapper Plus (ETM+) sensors have become a critical component of numerous applications. These two sensors have been operational for more than a decade, providing a rich archive of multispectral imagery for analysis of mutitemporal remote sensing data. This paper focuses on evaluating the radiometric calibration agreement between MODIS and ETM+ using the near-simultaneous and cloud-free image pairs over an African pseudo-invariant calibration site, Libya 4. To account for the combined uncertainties in the top-of-atmosphere (TOA) reflectance due to surface and atmospheric bidirectional reflectance distribution function (BRDF), a semiempirical BRDF model was adopted to normalize the TOA reflectance to the same illumination and viewing geometry. In addition, the spectra from the Earth Observing-1 (EO-1) Hyperion were used to compute spectral corrections between the corresponding MODIS and ETM+ spectral bands. As EO-1 Hyperion scenes were not available for all MODIS and ETM+ data pairs, MODerate resolution atmospheric TRANsmission (MODTRAN) 5.0 simulations were also used to adjust for differences due to the presence or lack of absorption features in some of the bands. A MODIS split-window algorithm provides the atmospheric water vapor column abundance during the overpasses for the MODTRAN simulations. Additionally, the column atmospheric water vapor content during the overpass was retrieved using the MODIS precipitable water vapor product. After performing these adjustments, the radiometric cross-calibration of the two sensors was consistent to within 7%. Some drifts in the response of the bands are evident, with MODIS band 3 being the largest of about 6% over 10 years, a change that will be corrected in Collection 6 MODIS processing.</span></p>","language":"English","publisher":"IEEE","doi":"10.1109/TGRS.2012.2235448","usgsCitation":"Angal, A., Xiong, X., Wu, A., Chander, G., and Choi, T., 2013, Multitemporal cross-calibration of the Terra MODIS and Landsat 7 ETM+ reflective solar bands: IEEE Transactions on Geoscience and Remote Sensing, v. 51, no. 4, p. 1870-1882, https://doi.org/10.1109/TGRS.2012.2235448.","productDescription":"13 p.","startPage":"1870","endPage":"1882","ipdsId":"IP-043734","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":474036,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"http://hdl.handle.net/2060/20140013366","text":"External Repository"},{"id":341240,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"51","issue":"4","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5916c9b5e4b044b359e486a0","contributors":{"authors":[{"text":"Angal, Amit","contributorId":67394,"corporation":false,"usgs":true,"family":"Angal","given":"Amit","email":"","affiliations":[],"preferred":false,"id":695066,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Xiong, Xiaoxiong","contributorId":15088,"corporation":false,"usgs":true,"family":"Xiong","given":"Xiaoxiong","email":"","affiliations":[],"preferred":false,"id":695067,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wu, Aisheng","contributorId":65362,"corporation":false,"usgs":true,"family":"Wu","given":"Aisheng","email":"","affiliations":[],"preferred":false,"id":695068,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Chander, Gyanesh gchander@usgs.gov","contributorId":3013,"corporation":false,"usgs":true,"family":"Chander","given":"Gyanesh","email":"gchander@usgs.gov","affiliations":[],"preferred":true,"id":695065,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Choi, Taeyoung","contributorId":146955,"corporation":false,"usgs":false,"family":"Choi","given":"Taeyoung","email":"","affiliations":[],"preferred":false,"id":695069,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70192692,"text":"70192692 - 2013 - Assessing the location and magnitude of the 20 October 1870 Charlevoix, Quebec, earthquake","interactions":[],"lastModifiedDate":"2017-10-31T13:38:20","indexId":"70192692","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2013","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":"Assessing the location and magnitude of the 20 October 1870 Charlevoix, Quebec, earthquake","docAbstract":"<p><span>The Charlevoix, Quebec, earthquake of 20 October 1870 caused damage to several towns in Quebec and was felt throughout much of southeastern Canada and along the U.S. Atlantic seaboard from Maine to Maryland. Site‐specific damage and felt reports from Canadian and U.S. cities and towns were used in analyses of the location and magnitude of the earthquake. The macroseismic center of the earthquake was very close to Baie‐St‐Paul, where the greatest damage was reported, and the intensity magnitude&nbsp;</span><strong>M</strong><sub><strong>I</strong></sub><span><span>&nbsp;</span>was found to be 5.8, with a 95% probability range of 5.5–6.0. After corrections for epicentral‐distance differences are applied, the modified Mercalli intensity (MMI) data for the 1870 earthquake and for the moment magnitude<span>&nbsp;</span></span><strong>M</strong><span>&nbsp;6.2 Charlevoix earthquake of 1925 at common sites show that on average, the MMI readings are about 0.8 intensity units smaller for the 1870 earthquake than for the 1925 earthquake, suggesting that the 1870 earthquake was<span>&nbsp;</span></span><strong>M</strong><sub><strong>I</strong></sub><span>&nbsp;5.7. A similar comparison of the MMI data for the 1870 earthquake with the corresponding data for the<span>&nbsp;</span></span><strong>M</strong><span>&nbsp;5.9 1988 Saguenay event suggests that the 1870 earthquake was<span>&nbsp;</span></span><strong>M</strong><sub><strong>I</strong></sub><span>&nbsp;6.0. These analyses all suggest that the magnitude of the 1870 Charlevoix earthquake is between<span>&nbsp;</span></span><strong>M</strong><sub><strong>I</strong></sub><span>&nbsp;5.5 and<span>&nbsp;</span></span><strong>M</strong><sub><strong>I</strong></sub><span>&nbsp;6.0, with a best estimate of<span>&nbsp;</span></span><strong>M</strong><sub><strong>I</strong></sub><span>&nbsp;5.8.</span></p>","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0120110063","usgsCitation":"Ebel, J.E., Dupuy, M., and Bakun, W.H., 2013, Assessing the location and magnitude of the 20 October 1870 Charlevoix, Quebec, earthquake: Bulletin of the Seismological Society of America, v. 103, no. 1, p. 588-594, https://doi.org/10.1785/0120110063.","productDescription":"7 p.","startPage":"588","endPage":"594","ipdsId":"IP-028002","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":347870,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, United States","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -85,\n              35\n            ],\n            [\n              -60,\n              35\n            ],\n            [\n              -60,\n              50\n            ],\n            [\n              -85,\n              50\n            ],\n            [\n              -85,\n              35\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"103","issue":"1","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2013-02-05","publicationStatus":"PW","scienceBaseUri":"59f98bbee4b0531197afa042","contributors":{"authors":[{"text":"Ebel, John E.","contributorId":198671,"corporation":false,"usgs":false,"family":"Ebel","given":"John","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":716724,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dupuy, Megan","contributorId":198672,"corporation":false,"usgs":false,"family":"Dupuy","given":"Megan","email":"","affiliations":[],"preferred":false,"id":716725,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bakun, William H.","contributorId":39361,"corporation":false,"usgs":true,"family":"Bakun","given":"William","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":716723,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70044115,"text":"70044115 - 2013 - Spatio-temporal dynamics of pneumonia in bighorn sheep","interactions":[],"lastModifiedDate":"2013-04-20T19:52:09","indexId":"70044115","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2158,"text":"Journal of Animal Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Spatio-temporal dynamics of pneumonia in bighorn sheep","docAbstract":"Bighorn sheep mortality related to pneumonia is a primary factor limiting population recovery across western North America, but management has been constrained by an incomplete understanding of the disease. We analysed patterns of pneumonia-caused mortality over 14 years in 16 interconnected bighorn sheep populations to gain insights into underlying disease processes. 2. We observed four age-structured classes of annual pneumonia mortality patterns: all-age, lamb-only, secondary all-age and adult-only. Although there was considerable variability within classes, overall they differed in persistence within and impact on populations. Years with pneumonia-induced mortality occurring simultaneously across age classes (i.e. all-age) appeared to be a consequence of pathogen invasion into a naïve population and resulted in immediate population declines. Subsequently, low recruitment due to frequent high mortality outbreaks in lambs, probably due to association with chronically infected ewes, posed a significant obstacle to population recovery. Secondary all-age events occurred in previously exposed populations when outbreaks in lambs were followed by lower rates of pneumonia-induced mortality in adults. Infrequent pneumonia events restricted to adults were usually of short duration with low mortality. 3. Acute pneumonia-induced mortality in adults was concentrated in fall and early winter around the breeding season when rams are more mobile and the sexes commingle. In contrast, mortality restricted to lambs peaked in summer when ewes and lambs were concentrated in nursery groups. 4. We detected weak synchrony in adult pneumonia between adjacent populations, but found no evidence for landscape-scale extrinsic variables as drivers of disease. 5. We demonstrate that there was a >60% probability of a disease event each year following pneumonia invasion into bighorn sheep populations. Healthy years also occurred periodically, and understanding the factors driving these apparent fade-out events may be the key to managing this disease. Our data and modelling indicate that pneumonia can have greater impacts on bighorn sheep populations than previously reported, and we present hypotheses about processes involved for testing in future investigations and management.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Animal Ecology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Wiley","publisherLocation":"Hoboken, NJ","doi":"10.1111/1365-2656.12031","usgsCitation":"Cassirer, E.F., Plowright, R., Manlove, K.R., Cross, P.C., Dobson, A.P., Potter, K.A., and Hudson, P., 2013, Spatio-temporal dynamics of pneumonia in bighorn sheep: Journal of Animal Ecology, v. 82, no. 3, p. 518-528, https://doi.org/10.1111/1365-2656.12031.","productDescription":"11 p.","startPage":"518","endPage":"528","ipdsId":"IP-037153","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":488146,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/1365-2656.12031","text":"Publisher Index Page"},{"id":268414,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":268413,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1111/1365-2656.12031"}],"volume":"82","issue":"3","noUsgsAuthors":false,"publicationDate":"2013-02-08","publicationStatus":"PW","scienceBaseUri":"5173b8e7e4b0e619a5806ef3","contributors":{"authors":[{"text":"Cassirer, E. Frances","contributorId":23404,"corporation":false,"usgs":true,"family":"Cassirer","given":"E.","email":"","middleInitial":"Frances","affiliations":[],"preferred":false,"id":474828,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Plowright, Raina K.","contributorId":23038,"corporation":false,"usgs":true,"family":"Plowright","given":"Raina K.","affiliations":[],"preferred":false,"id":474827,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Manlove, Kezia R.","contributorId":74651,"corporation":false,"usgs":true,"family":"Manlove","given":"Kezia","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":474830,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Cross, Paul C. 0000-0001-8045-5213 pcross@usgs.gov","orcid":"https://orcid.org/0000-0001-8045-5213","contributorId":2709,"corporation":false,"usgs":true,"family":"Cross","given":"Paul","email":"pcross@usgs.gov","middleInitial":"C.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":474825,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Dobson, Andrew P.","contributorId":63693,"corporation":false,"usgs":true,"family":"Dobson","given":"Andrew","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":474829,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Potter, Kathleen A.","contributorId":21041,"corporation":false,"usgs":true,"family":"Potter","given":"Kathleen","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":474826,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Hudson, Peter J.","contributorId":85056,"corporation":false,"usgs":true,"family":"Hudson","given":"Peter J.","affiliations":[],"preferred":false,"id":474831,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70042126,"text":"70042126 - 2013 - Fate of geothermal mercury from Yellowstone National Park in the Madison and Missouri Rivers, USA","interactions":[],"lastModifiedDate":"2023-06-22T18:34:37.703497","indexId":"70042126","displayToPublicDate":"2012-12-31T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3352,"text":"Science of the Total Environment","active":true,"publicationSubtype":{"id":10}},"title":"Fate of geothermal mercury from Yellowstone National Park in the Madison and Missouri Rivers, USA","docAbstract":"<p>Mercury is a worldwide contaminant derived from natural and anthropogenic sources. River systems play a key role in the transport and fate of Hg because they drain widespread areas affected by aerial Hg deposition, transport Hg away from point sources, and are sites of Hg biogeochemical cycling and bioaccumulation. The Madison and Missouri Rivers provide a natural laboratory for studying the fate and transport of Hg contributed by geothermal discharge in Yellowstone National Park and from the atmosphere for a large drainage basin in Montana and Wyoming, United States of America (USA). Assessing Hg in these rivers also is important because they support fishery-based recreation and irrigated agriculture. During 2002 to 2006, Hg concentrations were measured in water, sediment, and fish from the main stem, 7 tributaries, and 6 lakes. Using these data, the geothermal Hg load to the Madison River and overall fate of Hg along 378 km of the Missouri River system were assessed. Geothermal Hg was the primary source of elevated total Hg concentrations in unfiltered water (6.2–31.2 ng/L), sediment (148–1100 ng/g), and brown and rainbow trout (0.12– 1.23 µg total Hg/g wet weight skinless filet) upstream from Hebgen Lake (the uppermost impoundment). Approximately 7.0 kg/y of geothermal Hg was discharged from the park via the Madison River, and an estimated 87% of that load was lost to sedimentation in and volatilization from Hebgen Lake. Consequently, Hg concentrations in water, sediment, and fish from main-stem sites downstream from Hebgen Lake were not elevated and were comparable to concentrations reported for other areas affected solely by atmospheric Hg deposition. Some Hg was sequestered in sediment in the downstream lakes. Bioaccumulation of Hg in fish along the river system was strongly correlated (r<sup>2</sup>=0.76–0.86) with unfiltered total and methyl Hg concentrations in water and total Hg in sediment.</p>","language":"English","publisher":"Elsevier","publisherLocation":"Amsterdam, Netherlands","doi":"10.1016/j.scitotenv.2012.10.080","usgsCitation":"Nimick, D.A., Caldwell, R.R., Skaar, D.R., and Selch, T.M., 2013, Fate of geothermal mercury from Yellowstone National Park in the Madison and Missouri Rivers, USA: Science of the Total Environment, v. 443, p. 40-54, https://doi.org/10.1016/j.scitotenv.2012.10.080.","productDescription":"15 p.","startPage":"40","endPage":"54","ipdsId":"IP-034322","costCenters":[{"id":400,"text":"Montana Water Science Center","active":false,"usgs":true}],"links":[{"id":264961,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Montana, Wyoming","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -112,44.75 ], [ -112,46.5 ], [ -111.2,46.5 ], [ -111.2,44.75 ], [ -112,44.75 ] ] ] } } ] }","volume":"443","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"50e5cffae4b0a4aa5bb0aeec","chorus":{"doi":"10.1016/j.scitotenv.2012.10.080","url":"http://dx.doi.org/10.1016/j.scitotenv.2012.10.080","publisher":"Elsevier BV","authors":"Nimick David A., Caldwell Rodney R., Skaar Donald R., Selch Trevor M.","journalName":"Science of The Total Environment","publicationDate":"1/2013","auditedOn":"11/1/2014"},"contributors":{"authors":[{"text":"Nimick, David A. dnimick@usgs.gov","contributorId":421,"corporation":false,"usgs":true,"family":"Nimick","given":"David","email":"dnimick@usgs.gov","middleInitial":"A.","affiliations":[{"id":573,"text":"Special Applications Science Center","active":true,"usgs":true},{"id":5050,"text":"WY-MT Water Science Center","active":true,"usgs":true}],"preferred":true,"id":470810,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Caldwell, Rodney R. 0000-0002-2588-715X caldwell@usgs.gov","orcid":"https://orcid.org/0000-0002-2588-715X","contributorId":2577,"corporation":false,"usgs":true,"family":"Caldwell","given":"Rodney","email":"caldwell@usgs.gov","middleInitial":"R.","affiliations":[{"id":685,"text":"Wyoming-Montana Water Science Center","active":false,"usgs":true}],"preferred":true,"id":470811,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Skaar, Donald R.","contributorId":45200,"corporation":false,"usgs":true,"family":"Skaar","given":"Donald","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":470813,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Selch, Trevor M.","contributorId":42854,"corporation":false,"usgs":true,"family":"Selch","given":"Trevor","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":470812,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70042143,"text":"70042143 - 2013 - CO<sub>2</sub> uptake and ecophysiological parameters of the grain crops of midcontinent North America: estimates from flux tower measurements","interactions":[],"lastModifiedDate":"2017-05-11T15:14:45","indexId":"70042143","displayToPublicDate":"2012-12-26T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":682,"text":"Agriculture, Ecosystems and Environment","active":true,"publicationSubtype":{"id":10}},"title":"CO<sub>2</sub> uptake and ecophysiological parameters of the grain crops of midcontinent North America: estimates from flux tower measurements","docAbstract":"We analyzed net CO<sub>2</sub> exchange data from 13 flux tower sites with 27 site-years of measurements over maize and wheat fields across midcontinent North America. A numerically robust “light-soil temperature-VPD”-based method was used to partition the data into photosynthetic assimilation and ecosystem respiration components. Year-round ecosystem-scale ecophysiological parameters of apparent quantum yield, photosynthetic capacity, convexity of the light response, respiration rate parameters, ecological light-use efficiency, and the curvature of the VPD-response of photosynthesis for maize and wheat crops were numerically identified and interpolated/extrapolated. This allowed us to gap-fill CO<sub>2</sub> exchange components and calculate annual totals and budgets. VPD-limitation of photosynthesis was systematically observed in grain crops of the region (occurring from 20 to 120 days during the growing season, depending on site and year), determined by the VPD regime and the numerical value of the curvature parameter of the photosynthesis-VPD-response, σ<sub>VPD</sub>. In 78% of the 27 site-years of observations, annual gross photosynthesis in these crops significantly exceeded ecosystem respiration, resulting in a net ecosystem production of up to 2100 g CO<sub>2</sub> m<sup>−2</sup> year<sup>−1</sup>. The measurement-based photosynthesis, respiration, and net ecosystem production data, as well as the estimates of the ecophysiological parameters, provide an empirical basis for parameterization and validation of mechanistic models of grain crop production in this economically and ecologically important region of North America.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Agriculture, Ecosystems and Environment","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","publisherLocation":"Amsterdam, Netherlands","doi":"10.1016/j.agee.2012.09.017","usgsCitation":"Gilmanov, T., Wylie, B., Tieszen, L., Meyers, T.P., Baron, V.S., Bernacchi, C.J., Billesbach, D.P., Burba, G.G., Fischer, M.L., Glenn, A.J., Hanan, N., Hatfield, J.L., Heuer, M., Hollinger, S.E., Howard, D., Matamala, R., Prueger, J.H., Tenuta, M., and Young, D.G., 2013, CO<sub>2</sub> uptake and ecophysiological parameters of the grain crops of midcontinent North America: estimates from flux tower measurements: Agriculture, Ecosystems and Environment, v. 164, p. 162-175, https://doi.org/10.1016/j.agee.2012.09.017.","productDescription":"14 p.","startPage":"162","endPage":"175","ipdsId":"IP-037756","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":264831,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":264830,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.agee.2012.09.017"}],"otherGeospatial":"North America","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ 177.1,5.6 ], [ 177.1,85.4 ], [ -4.0,85.4 ], [ -4.0,5.6 ], [ 177.1,5.6 ] ] ] } } ] }","volume":"164","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"50e5cfe6e4b0a4aa5bb0ae94","contributors":{"authors":[{"text":"Gilmanov, Tagir","contributorId":6351,"corporation":false,"usgs":true,"family":"Gilmanov","given":"Tagir","affiliations":[],"preferred":false,"id":470827,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wylie, Bruce 0000-0002-7374-1083","orcid":"https://orcid.org/0000-0002-7374-1083","contributorId":107996,"corporation":false,"usgs":true,"family":"Wylie","given":"Bruce","affiliations":[],"preferred":false,"id":470845,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Tieszen, Larry","contributorId":63907,"corporation":false,"usgs":true,"family":"Tieszen","given":"Larry","affiliations":[],"preferred":false,"id":470835,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Meyers, Tilden 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P.","contributorId":29715,"corporation":false,"usgs":true,"family":"Billesbach","given":"David","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":470829,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Burba, George G.","contributorId":38449,"corporation":false,"usgs":true,"family":"Burba","given":"George","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":470831,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Fischer, Marc L.","contributorId":47265,"corporation":false,"usgs":true,"family":"Fischer","given":"Marc","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":470832,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Glenn, Aaron J.","contributorId":51178,"corporation":false,"usgs":true,"family":"Glenn","given":"Aaron","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":470833,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Hanan, Niall P.","contributorId":86667,"corporation":false,"usgs":true,"family":"Hanan","given":"Niall P.","affiliations":[],"preferred":false,"id":470840,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Hatfield, Jerry L.","contributorId":71082,"corporation":false,"usgs":true,"family":"Hatfield","given":"Jerry","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":470837,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Heuer, Mark W.","contributorId":34009,"corporation":false,"usgs":true,"family":"Heuer","given":"Mark W.","affiliations":[],"preferred":false,"id":470830,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Hollinger, Steven E.","contributorId":107588,"corporation":false,"usgs":true,"family":"Hollinger","given":"Steven","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":470844,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Howard, Daniel M. 0000-0002-7563-7538","orcid":"https://orcid.org/0000-0002-7563-7538","contributorId":97795,"corporation":false,"usgs":true,"family":"Howard","given":"Daniel M.","affiliations":[],"preferred":false,"id":470842,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Matamala, Roser","contributorId":85063,"corporation":false,"usgs":true,"family":"Matamala","given":"Roser","email":"","affiliations":[],"preferred":false,"id":470839,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Prueger, John H.","contributorId":87046,"corporation":false,"usgs":true,"family":"Prueger","given":"John","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":470841,"contributorType":{"id":1,"text":"Authors"},"rank":17},{"text":"Tenuta, Mario","contributorId":65740,"corporation":false,"usgs":true,"family":"Tenuta","given":"Mario","affiliations":[],"preferred":false,"id":470836,"contributorType":{"id":1,"text":"Authors"},"rank":18},{"text":"Young, David G.","contributorId":99019,"corporation":false,"usgs":true,"family":"Young","given":"David","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":470843,"contributorType":{"id":1,"text":"Authors"},"rank":19}]}}
,{"id":70042064,"text":"70042064 - 2013 - Projected surface radiative forcing due to 2000--2050 land-cover land-use albedo change over the eastern United States","interactions":[],"lastModifiedDate":"2013-10-23T08:45:42","indexId":"70042064","displayToPublicDate":"2012-12-23T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2366,"text":"Journal of Land Change Science","active":true,"publicationSubtype":{"id":10}},"title":"Projected surface radiative forcing due to 2000--2050 land-cover land-use albedo change over the eastern United States","docAbstract":"Satellite-derived contemporary land-cover land-use (LCLU) and albedo data and modeled future LCLU are used to study the impact of LCLU change from 2000 to 2050 on surface albedo and radiative forcing for 19 ecoregions in the eastern United States. The modeled 2000–2050 LCLU changes indicate a future decrease in both agriculture and forested land and an increase in developed land that induces ecoregion radiative forcings ranging from −0.175 to 0.432 W m<sup>−2</sup> driven predominately by differences in the area and type of LCLU change. At the regional scale, these projected LCLU changes induce a net negative albedo decrease (−0.001) and a regional positive radiative forcing of 0.112 W m<sup>−2</sup>. This overall positive forcing (i.e., warming) is almost 4 times greater than that estimated for documented 1973–2000 LCLU albedo change published in a previous study using the same methods.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Land Change Science","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Taylor & Francis","publisherLocation":"Philadelphia, PA","doi":"10.1080/1747423X.2012.667453","usgsCitation":"Barnes, C., Roy, D.P., and Loveland, T., 2013, Projected surface radiative forcing due to 2000--2050 land-cover land-use albedo change over the eastern United States: Journal of Land Change Science, v. 8, no. 4, p. 369-382, https://doi.org/10.1080/1747423X.2012.667453.","productDescription":"14 p.","startPage":"369","endPage":"382","ipdsId":"IP-029007","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":474058,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1080/1747423x.2012.667453","text":"Publisher Index Page"},{"id":264752,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":264751,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1080/1747423X.2012.667453"}],"country":"United States","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ 172.5,18.9 ], [ 172.5,71.4 ], [ -66.9,71.4 ], [ -66.9,18.9 ], [ 172.5,18.9 ] ] ] } } ] }","volume":"8","issue":"4","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"50e492dbe4b0e8fec6cd8b73","contributors":{"authors":[{"text":"Barnes, Christopher A. 0000-0002-4608-4364","orcid":"https://orcid.org/0000-0002-4608-4364","contributorId":92793,"corporation":false,"usgs":true,"family":"Barnes","given":"Christopher A.","affiliations":[],"preferred":false,"id":470723,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Roy, David P.","contributorId":71083,"corporation":false,"usgs":true,"family":"Roy","given":"David","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":470722,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Loveland, Thomas R. 0000-0003-3114-6646 loveland@usgs.gov","orcid":"https://orcid.org/0000-0003-3114-6646","contributorId":3005,"corporation":false,"usgs":true,"family":"Loveland","given":"Thomas R.","email":"loveland@usgs.gov","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":false,"id":470721,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70039846,"text":"70039846 - 2013 - A framework for understanding semi-permeable barrier effects on migratory ungulates","interactions":[],"lastModifiedDate":"2013-02-12T16:23:26","indexId":"70039846","displayToPublicDate":"2012-12-18T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2163,"text":"Journal of Applied Ecology","active":true,"publicationSubtype":{"id":10}},"title":"A framework for understanding semi-permeable barrier effects on migratory ungulates","docAbstract":"1. Impermeable barriers to migration can greatly constrain the set of possible routes and ranges used by migrating animals. For ungulates, however, many forms of development are semi-permeable, and making informed management decisions about their potential impacts to the persistence of migration routes is difficult because our knowledge of how semi-permeable barriers affect migratory behaviour and function is limited. 2. Here, we propose a general framework to advance the understanding of barrier effects on ungulate migration by emphasizing the need to (i) quantify potential barriers in terms that allow behavioural thresholds to be considered, (ii) identify and measure behavioural responses to semi-permeable barriers and (iii) consider the functional attributes of the migratory landscape (e.g. stopovers) and how the benefits of migration might be reduced by behavioural changes. 3. We used global position system (GPS) data collected from two subpopulations of mule deer <i>Odocoileus hemionus</i> to evaluate how different levels of gas development influenced migratory behaviour, including movement rates and stopover use at the individual level, and intensity of use and width of migration route at the population level. We then characterized the functional landscape of migration routes as either stopover habitat or movement corridors and examined how the observed behavioural changes affected the functionality of the migration route in terms of stopover use. 4. We found migratory behaviour to vary with development intensity. Our results suggest that mule deer can migrate through moderate levels of development without any noticeable effects on migratory behaviour. However, in areas with more intensive development, animals often detoured from established routes, increased their rate of movement and reduced stopover use, while the overall use and width of migration routes decreased. 5. <i>Synthesis and applications</i>. In contrast to impermeable barriers that impede animal movement, semi-permeable barriers allow animals to maintain connectivity between their seasonal ranges. Our results identify the mechanisms (e.g. detouring, increased movement rates, reduced stopover use) by which semi-permeable barriers affect the functionality of ungulate migration routes and emphasize that the management of semi-permeable barriers may play a key role in the conservation of migratory ungulate populations.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Applied Ecology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Wiley","publisherLocation":"Hoboken, NJ","doi":"10.1111/1365-2664.12013","usgsCitation":"Sawyer, H., Kauffman, M., Middleton, A., Morrison, T.A., Nielson, R.M., and Wyckoff, T.B., 2013, A framework for understanding semi-permeable barrier effects on migratory ungulates: Journal of Applied Ecology, v. 50, no. 1, p. 68-78, https://doi.org/10.1111/1365-2664.12013.","productDescription":"11 p.","startPage":"68","endPage":"78","ipdsId":"IP-039279","costCenters":[{"id":683,"text":"Wyoming Cooperative Fish and Wildlife Research Unit","active":false,"usgs":true}],"links":[{"id":474059,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/1365-2664.12013","text":"Publisher Index Page"},{"id":264118,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":264117,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1111/1365-2664.12013"}],"volume":"50","issue":"1","noUsgsAuthors":false,"publicationDate":"2012-12-05","publicationStatus":"PW","scienceBaseUri":"50d20b6ee4b08b071e771b0d","contributors":{"authors":[{"text":"Sawyer, Hall","contributorId":39930,"corporation":false,"usgs":false,"family":"Sawyer","given":"Hall","affiliations":[],"preferred":false,"id":467047,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kauffman, Matthew J. 0000-0003-0127-3900 mkauffman@usgs.gov","orcid":"https://orcid.org/0000-0003-0127-3900","contributorId":2963,"corporation":false,"usgs":true,"family":"Kauffman","given":"Matthew J.","email":"mkauffman@usgs.gov","affiliations":[{"id":595,"text":"U.S. Geological Survey","active":false,"usgs":true}],"preferred":false,"id":467046,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Middleton, Arthur D.","contributorId":99440,"corporation":false,"usgs":true,"family":"Middleton","given":"Arthur D.","affiliations":[],"preferred":false,"id":467051,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Morrison, Thomas A.","contributorId":72277,"corporation":false,"usgs":true,"family":"Morrison","given":"Thomas","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":467049,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Nielson, Ryan M.","contributorId":78971,"corporation":false,"usgs":false,"family":"Nielson","given":"Ryan","email":"","middleInitial":"M.","affiliations":[{"id":6660,"text":"Western EcoSystems Technology, Inc","active":true,"usgs":false}],"preferred":false,"id":467050,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Wyckoff, Teal B.","contributorId":62902,"corporation":false,"usgs":true,"family":"Wyckoff","given":"Teal","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":467048,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70041727,"text":"70041727 - 2013 - Assessing the state of knowledge of utility-scale wind energy development and operation on non-volant terrestrial and marine wildlife","interactions":[],"lastModifiedDate":"2012-12-13T20:16:03","indexId":"70041727","displayToPublicDate":"2012-12-13T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":832,"text":"Applied Energy","active":true,"publicationSubtype":{"id":10}},"title":"Assessing the state of knowledge of utility-scale wind energy development and operation on non-volant terrestrial and marine wildlife","docAbstract":"A great deal has been published in the scientific literature regarding the effects of wind energy development and operation on volant (flying) wildlife including birds and bats, although knowledge of how to mitigate negative impacts is still imperfect. We reviewed the peer-reviewed scientific literature for information on the known and potential effects of utility-scale wind energy development and operation (USWEDO) on terrestrial and marine non-volant wildlife and found that very little has been published on the topic. Following a similar review for solar energy we identified known and potential effects due to construction and eventual decommissioning of wind energy facilities. Many of the effects are similar and include direct mortality, environmental impacts of destruction and modification of habitat including impacts of roads, and offsite impacts related to construction material acquisition, processing and transportation. Known and potential effects due to operation and maintenance of facilities include habitat fragmentation and barriers to gene flow, as well as effects due to noise, vibration and shadow flicker, electromagnetic field generation, macro- and micro-climate change, predator attraction, and increased fire risk. The scarcity of before-after-control-impact studies hinders the ability to rigorously quantify the effects of USWEDO on non-volant wildlife. We conclude that more empirical data are currently needed to fully assess the impact of USWEDO on non-volant wildlife.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Applied Energy","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","publisherLocation":"Amsterdam, Netherlands","doi":"10.1016/j.apenergy.2012.10.001","usgsCitation":"Lovich, J.E., and Ennen, J., 2013, Assessing the state of knowledge of utility-scale wind energy development and operation on non-volant terrestrial and marine wildlife: Applied Energy, v. 103, p. 52-60, https://doi.org/10.1016/j.apenergy.2012.10.001.","productDescription":"9 p.","startPage":"52","endPage":"60","ipdsId":"IP-038151","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":263938,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.apenergy.2012.10.001"},{"id":264019,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"103","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"50cb5764e4b09e092d6f03d1","contributors":{"authors":[{"text":"Lovich, Jeffrey E. 0000-0002-7789-2831 jeffrey_lovich@usgs.gov","orcid":"https://orcid.org/0000-0002-7789-2831","contributorId":458,"corporation":false,"usgs":true,"family":"Lovich","given":"Jeffrey","email":"jeffrey_lovich@usgs.gov","middleInitial":"E.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true},{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":470112,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ennen, Joshua R.","contributorId":60368,"corporation":false,"usgs":false,"family":"Ennen","given":"Joshua R.","affiliations":[{"id":13216,"text":"Tennessee Aquarium Conservation Institute","active":true,"usgs":false}],"preferred":false,"id":470113,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70041741,"text":"70041741 - 2013 - Quantifying tree mortality in a mixed species woodland using multitemporal high spatial resolution satellite imagery","interactions":[],"lastModifiedDate":"2018-01-16T11:28:06","indexId":"70041741","displayToPublicDate":"2012-12-11T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3254,"text":"Remote Sensing of Environment","printIssn":"0034-4257","active":true,"publicationSubtype":{"id":10}},"title":"Quantifying tree mortality in a mixed species woodland using multitemporal high spatial resolution satellite imagery","docAbstract":"Widespread tree mortality events have recently been observed in several biomes. To effectively quantify the severity and extent of these events, tools that allow for rapid assessment at the landscape scale are required. Past studies using high spatial resolution satellite imagery have primarily focused on detecting green, red, and gray tree canopies during and shortly after tree damage or mortality has occurred. However, detecting trees in various stages of death is not always possible due to limited availability of archived satellite imagery. Here we assess the capability of high spatial resolution satellite imagery for tree mortality detection in a southwestern U.S. mixed species woodland using archived satellite images acquired prior to mortality and well after dead trees had dropped their leaves. We developed a multistep classification approach that uses: supervised masking of non-tree image elements; bi-temporal (pre- and post-mortality) differencing of normalized difference vegetation index (NDVI) and red:green ratio (RGI); and unsupervised multivariate clustering of pixels into live and dead tree classes using a Gaussian mixture model. Classification accuracies were improved in a final step by tuning the rules of pixel classification using the posterior probabilities of class membership obtained from the Gaussian mixture model. Classifications were produced for two images acquired post-mortality with overall accuracies of 97.9% and 98.5%, respectively. Classified images were combined with land cover data to characterize the spatiotemporal characteristics of tree mortality across areas with differences in tree species composition. We found that 38% of tree crown area was lost during the drought period between 2002 and 2006. The majority of tree mortality during this period was concentrated in piñon-juniper (<i>Pinus edulis-Juniperus monosperma</i>) woodlands. An additional 20% of the tree canopy died or was removed between 2006 and 2011, primarily in areas experiencing wildfire and management activity. -Our results demonstrate that unsupervised clustering of bi-temporal NDVI and RGI differences can be used to detect tree mortality resulting from numerous causes and in several forest cover types.","language":"English","publisher":"Elsevier","doi":"10.1016/j.rse.2012.10.029","usgsCitation":"Garrity, S.R., Allen, C.D., Brumby, S.P., Gangodagamage, C., McDowell, N.G., and Cai, D.M., 2013, Quantifying tree mortality in a mixed species woodland using multitemporal high spatial resolution satellite imagery: Remote Sensing of Environment, v. 129, p. 54-65, https://doi.org/10.1016/j.rse.2012.10.029.","productDescription":"12 p.","startPage":"54","endPage":"65","ipdsId":"IP-041894","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":263968,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","volume":"129","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"50c8561ee4b03bc63bd679ae","contributors":{"authors":[{"text":"Garrity, Steven R.","contributorId":43648,"corporation":false,"usgs":true,"family":"Garrity","given":"Steven","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":470140,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Allen, Craig D. 0000-0002-8777-5989 craig_allen@usgs.gov","orcid":"https://orcid.org/0000-0002-8777-5989","contributorId":2597,"corporation":false,"usgs":true,"family":"Allen","given":"Craig","email":"craig_allen@usgs.gov","middleInitial":"D.","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true},{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":470138,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Brumby, Steven P.","contributorId":31276,"corporation":false,"usgs":true,"family":"Brumby","given":"Steven","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":470139,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gangodagamage, Chandana","contributorId":60922,"corporation":false,"usgs":true,"family":"Gangodagamage","given":"Chandana","email":"","affiliations":[],"preferred":false,"id":470142,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"McDowell, Nate G.","contributorId":46839,"corporation":false,"usgs":true,"family":"McDowell","given":"Nate","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":470141,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Cai, D. Michael","contributorId":81383,"corporation":false,"usgs":true,"family":"Cai","given":"D.","email":"","middleInitial":"Michael","affiliations":[],"preferred":false,"id":470143,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70041615,"text":"70041615 - 2013 - Hierarchical Bayesian spatial models for predicting multiple forest variables using waveform LiDAR, hyperspectral imagery, and large inventory datasets","interactions":[],"lastModifiedDate":"2013-03-04T21:00:49","indexId":"70041615","displayToPublicDate":"2012-12-08T00:00:00","publicationYear":"2013","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":"Hierarchical Bayesian spatial models for predicting multiple forest variables using waveform LiDAR, hyperspectral imagery, and large inventory datasets","docAbstract":"In this paper we detail a multivariate spatial regression model that couples LiDAR, hyperspectral and forest inventory data to predict forest outcome variables at a high spatial resolution. The proposed model is used to analyze forest inventory data collected on the US Forest Service Penobscot Experimental Forest (PEF), ME, USA. In addition to helping meet the regression model's assumptions, results from the PEF analysis suggest that the addition of multivariate spatial random effects improves model fit and predictive ability, compared with two commonly applied modeling approaches. This improvement results from explicitly modeling the covariation among forest outcome variables and spatial dependence among observations through the random effects. Direct application of such multivariate models to even moderately large datasets is often computationally infeasible because of cubic order matrix algorithms involved in estimation. We apply a spatial dimension reduction technique to help overcome this computational hurdle without sacrificing richness in modeling.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"International Journal of Applied Earth Observation and Geoinformation","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","publisherLocation":"Amsterdam, Netherlands","doi":"10.1016/j.jag.2012.04.007","usgsCitation":"Finley, A., Banerjee, S., Cook, B.D., and Bradford, J.B., 2013, Hierarchical Bayesian spatial models for predicting multiple forest variables using waveform LiDAR, hyperspectral imagery, and large inventory datasets: International Journal of Applied Earth Observation and Geoinformation, v. 22, p. 147-160, https://doi.org/10.1016/j.jag.2012.04.007.","productDescription":"14 p.","startPage":"147","endPage":"160","ipdsId":"IP-032166","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":474061,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.jag.2012.04.007","text":"Publisher Index Page"},{"id":263883,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":263867,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.jag.2012.04.007"}],"country":"United States","state":"Maine","otherGeospatial":"Penobscot Experimental Forest","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -71.08,42.97 ], [ -71.08,47.46 ], [ -66.95,47.46 ], [ -66.95,42.97 ], [ -71.08,42.97 ] ] ] } } ] }","volume":"22","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"50c4618be4b0e44331d0716c","contributors":{"authors":[{"text":"Finley, Andrew O.","contributorId":70666,"corporation":false,"usgs":true,"family":"Finley","given":"Andrew O.","affiliations":[],"preferred":false,"id":469986,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Banerjee, Sudipto","contributorId":73894,"corporation":false,"usgs":true,"family":"Banerjee","given":"Sudipto","email":"","affiliations":[],"preferred":false,"id":469987,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cook, Bruce D.","contributorId":75402,"corporation":false,"usgs":true,"family":"Cook","given":"Bruce","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":469988,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bradford, John B. 0000-0001-9257-6303 jbradford@usgs.gov","orcid":"https://orcid.org/0000-0001-9257-6303","contributorId":611,"corporation":false,"usgs":true,"family":"Bradford","given":"John","email":"jbradford@usgs.gov","middleInitial":"B.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":469985,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70041097,"text":"70041097 - 2013 - Lower-crustal xenoliths from Jurassic kimberlite diatremes, upper Michigan (USA): Evidence for Proterozoic orogenesis and plume magmatism in the lower crust of the southern Superior Province","interactions":[],"lastModifiedDate":"2013-03-04T20:33:10","indexId":"70041097","displayToPublicDate":"2012-12-01T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2420,"text":"Journal of Petrology","active":true,"publicationSubtype":{"id":10}},"title":"Lower-crustal xenoliths from Jurassic kimberlite diatremes, upper Michigan (USA): Evidence for Proterozoic orogenesis and plume magmatism in the lower crust of the southern Superior Province","docAbstract":"Jurassic kimberlites in the southern Superior Province in northern Michigan contain a variety of possible lower-crustal xenoliths, including mafic garnet granulites, rare garnet-free granulites, amphibolites and eclogites. Whole-rock major-element data for the granulites suggest affinities with tholeiitic basalts. P–T estimates for granulites indicate peak temperatures of 690–730°C and pressures of 9–12 kbar, consistent with seismic estimates of crustal thickness in the region. The granulites can be divided into two groups based on trace-element characteristics. Group 1 granulites have trace-element signatures similar to average Archean lower crust; they are light rare earth element (LREE)-enriched, with high La/Nb ratios and positive Pb anomalies. Most plot to the left of the geochron on a <sup>206</sup>Pb/<sup>€204</sup>Pb vs <sup>207</sup>Pb/<sup>€204</sup>Pb diagram, and there was probably widespread incorporation of Proterozoic to Archean components into the magmatic protoliths of these rocks. Although the age of the Group 1 granulites is not well constrained, their protoliths appear to be have been emplaced during the Mesoproterozoic and to be older than those for Group 2 granulites. Group 2 granulites are also LREE-enriched, but have strong positive Nb and Ta anomalies and low La/Nb ratios, suggesting intraplate magmatic affinities. They have trace-element characteristics similar to those of some Mid-Continent Rift (Keweenawan) basalts. They yield a Sm–Nd whole-rock errorchron age of 1046 ± 140 Ma, similar to that of Mid-Continent Rift plume magmatism. These granulites have unusually radiogenic Pb isotope compositions that plot above the <sup>207</sup>Pb/<sup>€204</sup>Pb vs <sup>206</sup>Pb/<sup>€204</sup>Pb growth curve and to the right of the 4·55 Ga geochron, and closely resemble the Pb isotope array defined by Mid-Continent Rift basalts. These Pb isotope data indicate that ancient continental lower crust is not uniformly depleted in U (and Th) relative to Pb. One granulite xenolith, S69-5, contains quartz, and has a unique peraluminous composition. It has the lowest εNd and εHf values of the suite. Its isotopic compositions indicate that it is significantly older than the other granulites. Broken zircon cores encased by younger overgrowths suggest that this granulite includes a large component of pre-existing sedimentary rocks. Two distinct populations of zircons from S69-5 were dated by sensitive high-resolution ion microprobe. Abundant rounded zircons yield ages of 1104 ± 42 (2σ) Ma, which coincide with the Mid-Continent Rift flood basalt eruptions. Their morphology is similar to those found in lower-crustal rocks that have undergone granulite-facies metamorphism and thus they are considered to represent the age of Group 2 granulites. Also present are less abundant elongate zircon grains that yield a mean age of 1387 ± 32 (2σ) Ma. Their elongate shapes indicate growth from a melt or fluid, possibly associated with 1·3–1·5 Ga anorogenic granite magmatism exposed in the shallow crust to the south in Wisconsin, or related to an initial encroachment of the Keweenawan plume upon the lower crust. Older ages recognized in zircon cores are less well constrained but may be related to tectono-magmatic events in the southern Superior craton. Within the studied suite only S69-5 was recognized as a remnant of the Late Archean lower crust into which the Group 1 and 2 mafic granulite precursor basalts were intruded. Collectively, the data show that the lower crust beneath northern Michigan formed in Archean times and underwent a variety of tectono-magmatic processes throughout the Proterozoic, including orogenesis, partial melting and mafic magmatic underplating in response to upwelling mantle plumes.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Petrology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Oxford Journals","publisherLocation":"Oxford, U.K.","doi":"10.1093/petrology/egs079","usgsCitation":"Zartman, R.E., Kempton, P.D., Paces, J.B., Downes, H., Williams, I.S., Dobosi, G., and Futa, K., 2013, Lower-crustal xenoliths from Jurassic kimberlite diatremes, upper Michigan (USA): Evidence for Proterozoic orogenesis and plume magmatism in the lower crust of the southern Superior Province: Journal of Petrology, v. 54, no. 3, p. 575-608, https://doi.org/10.1093/petrology/egs079.","productDescription":"14 p.","startPage":"575","endPage":"608","ipdsId":"IP-040583","costCenters":[{"id":308,"text":"Geology and Environmental Change Science Center","active":false,"usgs":true}],"links":[{"id":474062,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1093/petrology/egs079","text":"Publisher Index Page"},{"id":263561,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":263560,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1093/petrology/egs079"}],"country":"United States","state":"Michigan","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -90.42,41.7 ], [ -90.42,48.29 ], [ -82.41,48.29 ], [ -82.41,41.7 ], [ -90.42,41.7 ] ] ] } } ] }","volume":"54","issue":"3","noUsgsAuthors":false,"publicationDate":"2012-11-22","publicationStatus":"PW","scienceBaseUri":"50dfa812e4b0dfbe79e6e4a3","contributors":{"authors":[{"text":"Zartman, Robert E.","contributorId":47356,"corporation":false,"usgs":true,"family":"Zartman","given":"Robert","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":469428,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kempton, Pamela D.","contributorId":80994,"corporation":false,"usgs":true,"family":"Kempton","given":"Pamela","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":469430,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Paces, James B. 0000-0002-9809-8493 jbpaces@usgs.gov","orcid":"https://orcid.org/0000-0002-9809-8493","contributorId":2514,"corporation":false,"usgs":true,"family":"Paces","given":"James","email":"jbpaces@usgs.gov","middleInitial":"B.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":469425,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Downes, Hilary","contributorId":13508,"corporation":false,"usgs":true,"family":"Downes","given":"Hilary","email":"","affiliations":[],"preferred":false,"id":469426,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Williams, Ian S.","contributorId":77439,"corporation":false,"usgs":true,"family":"Williams","given":"Ian","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":469429,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Dobosi, Gabor","contributorId":47264,"corporation":false,"usgs":true,"family":"Dobosi","given":"Gabor","email":"","affiliations":[],"preferred":false,"id":469427,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"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":469424,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70039860,"text":"70039860 - 2013 - Genetic analysis of a novel invasion of Puerto Rico by an exotic constricting snake","interactions":[],"lastModifiedDate":"2013-04-20T19:27:38","indexId":"70039860","displayToPublicDate":"2012-11-30T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1018,"text":"Biological Invasions","active":true,"publicationSubtype":{"id":10}},"title":"Genetic analysis of a novel invasion of Puerto Rico by an exotic constricting snake","docAbstract":"The tropical island Puerto Rico is potentially vulnerable to invasion by some species of exotic snakes; however, until now no established populations had been reported. Here we report and genetically characterize the nascent invasion of Puerto Rico by an exotic constricting snake of the family Boidae (<i>Boa constrictor</i>) using mtDNA and microsatellite data. Over 150 individual <i>B. constrictor</i> have been removed from Mayagüez municipality since May 2011, and our results from the genetic analysis of 32 individuals suggest that this population was recently founded by individuals of one subspecies from a genetic lineage common to zoo and breeding collections, but that the potential propagule pool consists of two subspecies. We also suggest that anthropogenic long-distance dispersal within the island of Puerto Rico may be occurring from the established population, with implications for further establishment across the island. This study represents the first report of the naturalization of an invasive species of boid snake in Puerto Rico and will be important in determining mitigation strategies for this invasion as well as providing a basis for comparison to other on-going studies of invasive snakes.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Biological Invasions","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Springer","publisherLocation":"Amsterdam, Netherlands","doi":"10.1007/s10530-012-0354-2","usgsCitation":"Reynolds, R., Puente-Rolon, A.R., Reed, R., and Revell, L.J., 2013, Genetic analysis of a novel invasion of Puerto Rico by an exotic constricting snake: Biological Invasions, v. 15, no. 5, p. 953-959, https://doi.org/10.1007/s10530-012-0354-2.","productDescription":"7 p.","startPage":"953","endPage":"959","ipdsId":"IP-040400","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":263510,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":263507,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s10530-012-0354-2"}],"country":"Puerto Rico","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -67.9455,17.8814 ], [ -67.9455,18.516 ], [ -65.2211,18.516 ], [ -65.2211,17.8814 ], [ -67.9455,17.8814 ] ] ] } } ] }","volume":"15","issue":"5","noUsgsAuthors":false,"publicationDate":"2012-11-29","publicationStatus":"PW","scienceBaseUri":"50dd67f2e4b0e31bb027dbdc","contributors":{"authors":[{"text":"Reynolds, R. Graham","contributorId":103545,"corporation":false,"usgs":true,"family":"Reynolds","given":"R. Graham","affiliations":[],"preferred":false,"id":467087,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Puente-Rolon, Alberto R.","contributorId":42498,"corporation":false,"usgs":true,"family":"Puente-Rolon","given":"Alberto","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":467085,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Reed, Robert N.","contributorId":10115,"corporation":false,"usgs":true,"family":"Reed","given":"Robert N.","affiliations":[],"preferred":false,"id":467084,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Revell, Liam J.","contributorId":100266,"corporation":false,"usgs":true,"family":"Revell","given":"Liam","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":467086,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70040861,"text":"70040861 - 2013 - An algorithmic and information-theoretic approach to multimetric index construction","interactions":[],"lastModifiedDate":"2012-11-26T21:08:30","indexId":"70040861","displayToPublicDate":"2012-11-26T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1456,"text":"Ecological Indicators","active":true,"publicationSubtype":{"id":10}},"title":"An algorithmic and information-theoretic approach to multimetric index construction","docAbstract":"The use of multimetric indices (MMIs), such as the widely used index of biological integrity (IBI), to measure, track, summarize and infer the overall impact of human disturbance on biological communities has been steadily growing in recent years. Initially, MMIs were developed for aquatic communities using pre-selected biological metrics as indicators of system integrity. As interest in these bioassessment tools has grown, so have the types of biological systems to which they are applied. For many ecosystem types the appropriate biological metrics to use as measures of biological integrity are not known a priori. As a result, a variety of ad hoc protocols for selecting metrics empirically has developed. However, the assumptions made by proposed protocols have not be explicitly described or justified, causing many investigators to call for a clear, repeatable methodology for developing empirically derived metrics and indices that can be applied to any biological system. An issue of particular importance that has not been sufficiently addressed is the way that individual metrics combine to produce an MMI that is a sensitive composite indicator of human disturbance. In this paper, we present and demonstrate an algorithm for constructing MMIs given a set of candidate metrics and a measure of human disturbance. The algorithm uses each metric to inform a candidate MMI, and then uses information-theoretic principles to select MMIs that capture the information in the multidimensional system response from among possible MMIs. Such an approach can be used to create purely empirical (data-based) MMIs or can, optionally, be influenced by expert opinion or biological theory through the use of a weighting vector to create value-weighted MMIs. We demonstrate the algorithm with simulated data to demonstrate the predictive capacity of the final MMIs and with real data from wetlands from Acadia and Rocky Mountain National Parks. For the Acadia wetland data, the algorithm identified 4 metrics that combined to produce a -0.88 correlation with the human disturbance index. When compared to other methods, we find this algorithmic approach resulted in MMIs that were more predictive and comprise fewer metrics.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Ecological Indicators","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","publisherLocation":"Amsterdam, Netherlands","doi":"10.1016/j.ecolind.2012.10.016","usgsCitation":"Schoolmaster, D.R., Grace, J.B., Schweiger, E.W., Guntenspergen, G.R., Mitchell, B.R., Miller, K.M., and Little, A.M., 2013, An algorithmic and information-theoretic approach to multimetric index construction: Ecological Indicators, v. 26, p. 14-23, https://doi.org/10.1016/j.ecolind.2012.10.016.","productDescription":"10 p.","startPage":"14","endPage":"23","numberOfPages":"10","ipdsId":"IP-035304","costCenters":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"links":[{"id":263383,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":263376,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.ecolind.2012.10.016"}],"volume":"26","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"50b48f78e4b0b3fb1a229130","chorus":{"doi":"10.1016/j.ecolind.2012.10.016","url":"http://dx.doi.org/10.1016/j.ecolind.2012.10.016","publisher":"Elsevier BV","authors":"Schoolmaster Donald R., Grace James B., Schweiger E. William, Guntenspergen Glenn R., Mitchell Brian R., Miller Kathryn M., Little Amanda M.","journalName":"Ecological Indicators","publicationDate":"3/2013","auditedOn":"11/1/2014"},"contributors":{"authors":[{"text":"Schoolmaster, Donald R. Jr. 0000-0003-0910-4458 schoolmasterd@usgs.gov","orcid":"https://orcid.org/0000-0003-0910-4458","contributorId":4746,"corporation":false,"usgs":true,"family":"Schoolmaster","given":"Donald","suffix":"Jr.","email":"schoolmasterd@usgs.gov","middleInitial":"R.","affiliations":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":469154,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Grace, James B. 0000-0001-6374-4726 gracej@usgs.gov","orcid":"https://orcid.org/0000-0001-6374-4726","contributorId":884,"corporation":false,"usgs":true,"family":"Grace","given":"James","email":"gracej@usgs.gov","middleInitial":"B.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"preferred":true,"id":469152,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Schweiger, E. William","contributorId":53635,"corporation":false,"usgs":true,"family":"Schweiger","given":"E.","email":"","middleInitial":"William","affiliations":[],"preferred":false,"id":469156,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Guntenspergen, Glenn R. 0000-0002-8593-0244 glenn_guntenspergen@usgs.gov","orcid":"https://orcid.org/0000-0002-8593-0244","contributorId":2885,"corporation":false,"usgs":true,"family":"Guntenspergen","given":"Glenn","email":"glenn_guntenspergen@usgs.gov","middleInitial":"R.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":469153,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Mitchell, Brian R.","contributorId":14683,"corporation":false,"usgs":true,"family":"Mitchell","given":"Brian","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":469155,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Miller, Kathryn M.","contributorId":68582,"corporation":false,"usgs":true,"family":"Miller","given":"Kathryn","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":469158,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Little, Amanda M.","contributorId":54452,"corporation":false,"usgs":true,"family":"Little","given":"Amanda","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":469157,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70040501,"text":"70040501 - 2013 - Optimal temperature for malaria transmission is dramatically lower than previously predicted","interactions":[],"lastModifiedDate":"2014-09-17T12:58:15","indexId":"70040501","displayToPublicDate":"2012-11-02T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1466,"text":"Ecology Letters","active":true,"publicationSubtype":{"id":10}},"title":"Optimal temperature for malaria transmission is dramatically lower than previously predicted","docAbstract":"The ecology of mosquito vectors and malaria parasites affect the incidence, seasonal transmission and geographical range of malaria. Most malaria models to date assume constant or linear responses of mosquito and parasite life-history traits to temperature, predicting optimal transmission at 31 &deg;C. These models are at odds with field observations of transmission dating back nearly a century. We build a model with more realistic ecological assumptions about the thermal physiology of insects. Our model, which includes empirically derived nonlinear thermal responses, predicts optimal malaria transmission at 25 &deg;C (6 &deg;C lower than previous models). Moreover, the model predicts that transmission decreases dramatically at temperatures > 28 &deg;C, altering predictions about how climate change will affect malaria. A large data set on malaria transmission risk in Africa validates both the 25 &deg;C optimum and the decline above 28 &deg;C. Using these more accurate nonlinear thermal-response models will aid in understanding the effects of current and future temperature regimes on disease transmission.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Ecology Letters","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Wiley","publisherLocation":"Hoboken, NJ","doi":"10.1111/ele.12015","usgsCitation":"Mordecai, E., Paaijmans, K.P., Johnson, L., Balzer, C., Ben-Horin, T., de Moor, E., McNally, A., Pawar, S., Ryan, S.J., Smith, T.C., and Lafferty, K.D., 2013, Optimal temperature for malaria transmission is dramatically lower than previously predicted: Ecology Letters, v. 16, no. 1, p. 22-30, https://doi.org/10.1111/ele.12015.","productDescription":"9 p.","startPage":"22","endPage":"30","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":262826,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":294052,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1111/ele.12015"}],"volume":"16","issue":"1","noUsgsAuthors":false,"publicationDate":"2012-10-11","publicationStatus":"PW","scienceBaseUri":"508ba304e4b0d7f30c14573f","contributors":{"authors":[{"text":"Mordecai, Erin A.","contributorId":9113,"corporation":false,"usgs":true,"family":"Mordecai","given":"Erin A.","affiliations":[],"preferred":false,"id":468459,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Paaijmans, Krijn P.","contributorId":62459,"corporation":false,"usgs":true,"family":"Paaijmans","given":"Krijn","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":468465,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Johnson, Leah R.","contributorId":83382,"corporation":false,"usgs":true,"family":"Johnson","given":"Leah R.","affiliations":[],"preferred":false,"id":468466,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Balzer, Christian","contributorId":41279,"corporation":false,"usgs":true,"family":"Balzer","given":"Christian","email":"","affiliations":[],"preferred":false,"id":468461,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Ben-Horin, Tal","contributorId":58137,"corporation":false,"usgs":false,"family":"Ben-Horin","given":"Tal","email":"","affiliations":[],"preferred":false,"id":468464,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"de Moor, Emily","contributorId":48021,"corporation":false,"usgs":true,"family":"de Moor","given":"Emily","email":"","affiliations":[],"preferred":false,"id":468462,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"McNally, Amy","contributorId":53225,"corporation":false,"usgs":true,"family":"McNally","given":"Amy","affiliations":[],"preferred":false,"id":468463,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Pawar, Samraat","contributorId":22622,"corporation":false,"usgs":true,"family":"Pawar","given":"Samraat","email":"","affiliations":[],"preferred":false,"id":468460,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Ryan, Sadie J.","contributorId":102738,"corporation":false,"usgs":true,"family":"Ryan","given":"Sadie","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":468468,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Smith, Thomas C.","contributorId":101139,"corporation":false,"usgs":true,"family":"Smith","given":"Thomas","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":468467,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Lafferty, Kevin D. 0000-0001-7583-4593 klafferty@usgs.gov","orcid":"https://orcid.org/0000-0001-7583-4593","contributorId":1415,"corporation":false,"usgs":true,"family":"Lafferty","given":"Kevin","email":"klafferty@usgs.gov","middleInitial":"D.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":468458,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}}
,{"id":70038186,"text":"70038186 - 2013 - The response of Lake Tahoe to climate change","interactions":[],"lastModifiedDate":"2012-12-18T17:00:57","indexId":"70038186","displayToPublicDate":"2012-11-01T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1252,"text":"Climatic Change","active":true,"publicationSubtype":{"id":10}},"title":"The response of Lake Tahoe to climate change","docAbstract":"Meteorology is the driving force for lake internal heating, cooling, mixing, and circulation. Thus continued global warming will affect the lake thermal properties, water level, internal nutrient loading, nutrient cycling, food-web characteristics, fish-habitat, aquatic ecosystem, and other important features of lake limnology. Using a 1-D numerical model - the Lake Clarity Model (LCM) - together with the down-scaled climatic data of the two emissions scenarios (B1 and A2) of the Geophysical Fluid Dynamics Laboratory (GFDL) Global Circulation Model, we found that Lake Tahoe will likely cease to mix to the bottom after about 2060 for A2 scenario, with an annual mixing depth of less than 200 m as the most common value. Deep mixing, which currently occurs on average every 3-4 years, will (under the GFDL B1 scenario) occur only four times during 2061 to 2098. When the lake fails to completely mix, the bottom waters are not replenished with dissolved oxygen and eventually dissolved oxygen at these depths will be depleted to zero. When this occurs, soluble reactive phosphorus (SRP) and ammonium-nitrogen (both biostimulatory) are released from the deep sediments and contribute approximately 51 % and 14 % of the total SRP and dissolved inorganic nitrogen load, respectively. The lake model suggests that climate change will drive the lake surface level down below the natural rim after 2085 for the GFDL A2 but not the GFDL B1 scenario. The results indicate that continued climate changes could pose serious threats to the characteristics of the Lake that are most highly valued. Future water quality planning must take these results into account.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Climatic Change","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Springer","publisherLocation":"Amsterdam, Netherlands","doi":"10.1007/s10584-012-0600-8","usgsCitation":"Sahoo, G., Schladow, S., Reuter, J., Coats, R., Dettinger, M., Riverson, J., Wolfe, B., and Costa-Cabral, M., 2013, The response of Lake Tahoe to climate change: Climatic Change, v. 116, no. 1, p. 71-95, https://doi.org/10.1007/s10584-012-0600-8.","productDescription":"25 p.","startPage":"71","endPage":"95","ipdsId":"IP-037468","costCenters":[{"id":148,"text":"Branch of Regional Research-Western Region","active":false,"usgs":true}],"links":[{"id":262876,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":262875,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s10584-012-0600-8"}],"country":"United States","state":"California;Nevada","otherGeospatial":"Lake Tahoe","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -120.165109,39.0 ], [ -120.165109,39.26 ], [ -120.0,39.26 ], [ -120.0,39.0 ], [ -120.165109,39.0 ] ] ] } } ] }","volume":"116","issue":"1","noUsgsAuthors":false,"publicationDate":"2012-10-11","publicationStatus":"PW","scienceBaseUri":"5094ec28e4b0e5cfc2acdd15","contributors":{"authors":[{"text":"Sahoo, G.B.","contributorId":49167,"corporation":false,"usgs":true,"family":"Sahoo","given":"G.B.","email":"","affiliations":[],"preferred":false,"id":463614,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Schladow, S.G.","contributorId":92791,"corporation":false,"usgs":true,"family":"Schladow","given":"S.G.","email":"","affiliations":[],"preferred":false,"id":463618,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Reuter, J.E.","contributorId":9539,"corporation":false,"usgs":true,"family":"Reuter","given":"J.E.","email":"","affiliations":[],"preferred":false,"id":463612,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Coats, R.","contributorId":9540,"corporation":false,"usgs":true,"family":"Coats","given":"R.","email":"","affiliations":[],"preferred":false,"id":463613,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Dettinger, M. 0000-0002-7509-7332","orcid":"https://orcid.org/0000-0002-7509-7332","contributorId":78909,"corporation":false,"usgs":true,"family":"Dettinger","given":"M.","affiliations":[],"preferred":false,"id":463616,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Riverson, J.","contributorId":63692,"corporation":false,"usgs":true,"family":"Riverson","given":"J.","affiliations":[],"preferred":false,"id":463615,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Wolfe, B.","contributorId":79000,"corporation":false,"usgs":true,"family":"Wolfe","given":"B.","email":"","affiliations":[],"preferred":false,"id":463617,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Costa-Cabral, M.","contributorId":96554,"corporation":false,"usgs":true,"family":"Costa-Cabral","given":"M.","affiliations":[],"preferred":false,"id":463619,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70040348,"text":"70040348 - 2013 - Increasing synchrony of high temperature and low flow in western North American streams: double trouble for coldwater biota?","interactions":[],"lastModifiedDate":"2013-05-20T09:21:36","indexId":"70040348","displayToPublicDate":"2012-10-17T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1919,"text":"Hydrobiologia","onlineIssn":"1573-5117","printIssn":"0018-8158","active":true,"publicationSubtype":{"id":10}},"title":"Increasing synchrony of high temperature and low flow in western North American streams: double trouble for coldwater biota?","docAbstract":"Flow and temperature are strongly linked environmental factors driving ecosystem processes in streams. Stream temperature maxima (<i>T</i><sub>max_w</sub>) and stream flow minima (<i>Q</i><sub>min</sub>) can create periods of stress for aquatic organisms. In mountainous areas, such as western North America, recent shifts toward an earlier spring peak flow and decreases in low flow during summer/fall have been reported. We hypothesized that an earlier peak flow could be shifting the timing of low flow and leading to a decrease in the interval between <i>T</i><sub>max_w</sub> and <i>Q</i><sub>min</sub>. We also examined if years with extreme low <i>Q</i><sub>min</sub> were associated with years of extreme high <i>T</i><sub>max_w</sub>. We tested these hypotheses using long32 term data from 22 minimally human-influenced streams for the period 1950-2010. We found trends toward a shorter time lag between <i>T</i><sub>max_w</sub> and <i>Q</i><sub>min</sub> over time and a strong negative association between their magnitudes. Our findings show that aquatic biota may be increasingly experiencing narrower time windows to recover or adapt between these extreme events of low flow and high temperature. This study highlights the importance of evaluating multiple environmental drivers to better gauge the effects of the recent climate variability in freshwaters.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Hydrobiologia","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Springer","publisherLocation":"Amsterdam, Netherlands","doi":"10.1007/s10750-012-1327-2","usgsCitation":"Arismendi, I., Safeeq, M., Johnson, S.L., Dunham, J., and Haggerty, R., 2013, Increasing synchrony of high temperature and low flow in western North American streams: double trouble for coldwater biota?: Hydrobiologia, v. 712, no. 1, p. 61-70, https://doi.org/10.1007/s10750-012-1327-2.","productDescription":"10 p.","startPage":"61","endPage":"70","numberOfPages":"10","additionalOnlineFiles":"N","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":262686,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":262684,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s10750-012-1327-2","linkFileType":{"id":5,"text":"html"}}],"otherGeospatial":"North America","volume":"712","issue":"1","noUsgsAuthors":false,"publicationDate":"2012-09-21","publicationStatus":"PW","scienceBaseUri":"50801866e4b0a0242ef285c1","contributors":{"authors":[{"text":"Arismendi, Ivan","contributorId":70661,"corporation":false,"usgs":true,"family":"Arismendi","given":"Ivan","affiliations":[],"preferred":false,"id":468134,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Safeeq, Mohammad 0000-0003-0529-3925","orcid":"https://orcid.org/0000-0003-0529-3925","contributorId":77814,"corporation":false,"usgs":false,"family":"Safeeq","given":"Mohammad","email":"","affiliations":[{"id":6641,"text":"University of California at Merced","active":true,"usgs":false}],"preferred":false,"id":468135,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Johnson, Sherri L.","contributorId":91757,"corporation":false,"usgs":true,"family":"Johnson","given":"Sherri","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":468136,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Dunham, Jason B.","contributorId":64791,"corporation":false,"usgs":true,"family":"Dunham","given":"Jason B.","affiliations":[],"preferred":false,"id":468133,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Haggerty, Roy","contributorId":102631,"corporation":false,"usgs":true,"family":"Haggerty","given":"Roy","affiliations":[],"preferred":false,"id":468137,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70038470,"text":"70038470 - 2013 - Environmental factors regulating the recruitment of walleye <i>Sander vitreus</i> and white bass <i>Morone chrysops</i> in irrigation reservoirs","interactions":[],"lastModifiedDate":"2017-05-05T11:12:13","indexId":"70038470","displayToPublicDate":"2012-10-08T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1471,"text":"Ecology of Freshwater Fish","active":true,"publicationSubtype":{"id":10}},"title":"Environmental factors regulating the recruitment of walleye <i>Sander vitreus</i> and white bass <i>Morone chrysops</i> in irrigation reservoirs","docAbstract":"<p>Understanding the environmental factors that regulate fish recruitment is essential for effective management of fisheries. Generally, first-year survival, and therefore recruitment, is inherently less consistent in systems with high intra- and interannual variability. Irrigation reservoirs display sporadic patterns of annual drawdown, which can pose a substantial challenge to recruitment of fishes. We developed species-specific models using an 18-year data set compiled from state and federal agencies to investigate variables that regulate the recruitment of walleye <i>Sander vitreus</i> and white bass <i>Morone chrysops</i> in irrigation reservoirs in south-west Nebraska, USA. The candidate model set for walleye included only abiotic variables (water-level elevation, minimum daily air temperature during winter prior to hatching, annual precipitation, spring warming rate and May reservoir discharge), and the candidate model set for white bass included primarily biotic variables (catch per unit effort (CPUE) of black crappie <i>Pomoxis nigromaculatus</i>, CPUE of age-0 walleye, CPUE of bluegill <i>Lepomis macrochirus</i> and CPUE of age-3 and older white bass), each of which had a greater relative importance than the single abiotic variable (minimum daily air temperature during winter after hatching). Our findings improve the understanding of the recruitment of fishes in irrigation reservoirs and the relative roles of abiotic and biotic factors.</p>","language":"English","publisher":"Wiley","doi":"10.1111/eff.12000","usgsCitation":"DeBoer, J.A., Pope, K.L., and Koupal, K.D., 2013, Environmental factors regulating the recruitment of walleye <i>Sander vitreus</i> and white bass <i>Morone chrysops</i> in irrigation reservoirs: Ecology of Freshwater Fish, v. 22, no. 1, p. 43-54, https://doi.org/10.1111/eff.12000.","productDescription":"12 p.","startPage":"43","endPage":"54","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-038203","costCenters":[{"id":463,"text":"Nebraska Cooperative Fish and Wildlife Research Unit","active":false,"usgs":true}],"links":[{"id":262465,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":262456,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1111/eff.12000"}],"country":"United States","state":"Nebraska","otherGeospatial":"Republican River","volume":"22","issue":"1","noUsgsAuthors":false,"publicationDate":"2012-08-15","publicationStatus":"PW","scienceBaseUri":"50744f99e4b090654e7b2648","contributors":{"authors":[{"text":"DeBoer, Jason A.","contributorId":10272,"corporation":false,"usgs":true,"family":"DeBoer","given":"Jason","email":"","middleInitial":"A.","affiliations":[{"id":463,"text":"Nebraska Cooperative Fish and Wildlife Research Unit","active":false,"usgs":true}],"preferred":false,"id":464316,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pope, Kevin L. 0000-0003-1876-1687 kpope@usgs.gov","orcid":"https://orcid.org/0000-0003-1876-1687","contributorId":1574,"corporation":false,"usgs":true,"family":"Pope","given":"Kevin","email":"kpope@usgs.gov","middleInitial":"L.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":464315,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Koupal, Keith D.","contributorId":37592,"corporation":false,"usgs":true,"family":"Koupal","given":"Keith","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":464317,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70004499,"text":"70004499 - 2013 - Estimating shaking-induced casualties and building damage for global earthquake events: a proposed modelling approach","interactions":[],"lastModifiedDate":"2013-02-07T18:17:27","indexId":"70004499","displayToPublicDate":"2012-10-08T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1101,"text":"Bulletin of Earthquake Engineering","active":true,"publicationSubtype":{"id":10}},"title":"Estimating shaking-induced casualties and building damage for global earthquake events: a proposed modelling approach","docAbstract":"Recent earthquakes such as the Haiti earthquake of 12 January 2010 and the Qinghai earthquake on 14 April 2010 have highlighted the importance of rapid estimation of casualties after the event for humanitarian response. Both of these events resulted in surprisingly high death tolls, casualties and survivors made homeless. In the Mw = 7.0 Haiti earthquake, over 200,000 people perished with more than 300,000 reported injuries and 2 million made homeless. The Mw = 6.9 earthquake in Qinghai resulted in over 2,000 deaths with a further 11,000 people with serious or moderate injuries and 100,000 people have been left homeless in this mountainous region of China. In such events relief efforts can be significantly benefitted by the availability of rapid estimation and mapping of expected casualties. This paper contributes to ongoing global efforts to estimate probable earthquake casualties very rapidly after an earthquake has taken place. The analysis uses the assembled empirical damage and casualty data in the Cambridge Earthquake Impacts Database (CEQID) and explores data by event and across events to test the relationships of building and fatality distributions to the main explanatory variables of building type, building damage level and earthquake intensity. The prototype global casualty estimation model described here uses a semi-empirical approach that estimates damage rates for different classes of buildings present in the local building stock, and then relates fatality rates to the damage rates of each class of buildings. This approach accounts for the effect of the very different types of buildings (by climatic zone, urban or rural location, culture, income level etc), on casualties. The resulting casualty parameters were tested against the overall casualty data from several historical earthquakes in CEQID; a reasonable fit was found.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Bulletin of Earthquake Engineering","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Springer","publisherLocation":"Amsterdam, Netherlands","doi":"10.1007/s10518-012-9373-8","usgsCitation":"So, E., and Spence, R., 2013, Estimating shaking-induced casualties and building damage for global earthquake events: a proposed modelling approach: Bulletin of Earthquake Engineering, v. 11, no. 1, p. 347-363, https://doi.org/10.1007/s10518-012-9373-8.","productDescription":"17 p.","startPage":"347","endPage":"363","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":262462,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":262460,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s10518-012-9373-8"}],"volume":"11","issue":"1","noUsgsAuthors":false,"publicationDate":"2012-08-30","publicationStatus":"PW","scienceBaseUri":"50744fa2e4b090654e7b264c","contributors":{"authors":[{"text":"So, Emily","contributorId":19420,"corporation":false,"usgs":true,"family":"So","given":"Emily","email":"","affiliations":[],"preferred":false,"id":350508,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Spence, Robin","contributorId":97366,"corporation":false,"usgs":true,"family":"Spence","given":"Robin","affiliations":[],"preferred":false,"id":350509,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70039931,"text":"70039931 - 2013 - Gonadal abnormalities in frogs (Lithobates spp.) collected from managed wetlands in an agricultural region of Nebraska, USA","interactions":[],"lastModifiedDate":"2017-05-25T13:51:25","indexId":"70039931","displayToPublicDate":"2012-09-18T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1555,"text":"Environmental Pollution","active":true,"publicationSubtype":{"id":10}},"title":"Gonadal abnormalities in frogs (Lithobates spp.) collected from managed wetlands in an agricultural region of Nebraska, USA","docAbstract":"Nebraska's Rainwater Basin (RWB) provides important wetland habitat for North American migratory birds. Concern exists that pesticide and nutrient runoff from surrounding row-crops enters wetlands degrading water quality and adversely affecting birds and wildlife. Frogs may be especially vulnerable. Plains leopard (Lithobates blairi) metamorphs from RWB wetlands with varying concentrations of pesticides were evaluated for a suite of biomarkers of exposure to endocrine active chemicals. Froglets had ovarian dysgenesis, high rates of testicular oocytes, and female-biased sex ratios however, there was no clear statistical association between pesticide concentrations and biomarkers. Data interpretation was hindered because timing and duration of exposures were unknown and due to an incomplete understanding of L. blairi sexual development. Emphasis is on describing the complex developmental biology of closely-related leopard frogs, how this understanding can explain RWB L. blairi anomalies, and the need for sampling at the appropriate life stage.","language":"English","publisher":"Elsevier","publisherLocation":"Amsterdam. Netherlands","doi":"10.1016/j.envpol.2012.07.042","usgsCitation":"Papoulias, D.M., Schwarz, M.S., and Mena, L., 2013, Gonadal abnormalities in frogs (Lithobates spp.) collected from managed wetlands in an agricultural region of Nebraska, USA: Environmental Pollution, v. 172, p. 1-8, https://doi.org/10.1016/j.envpol.2012.07.042.","productDescription":"8 p.","startPage":"1","endPage":"8","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"links":[{"id":261938,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":261925,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.envpol.2012.07.042"}],"country":"United States","state":"Nebraska","volume":"172","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a29a9e4b0c8380cd5ab21","contributors":{"authors":[{"text":"Papoulias, Diana M. 0000-0002-5106-2469 dpapoulias@usgs.gov","orcid":"https://orcid.org/0000-0002-5106-2469","contributorId":2726,"corporation":false,"usgs":true,"family":"Papoulias","given":"Diana","email":"dpapoulias@usgs.gov","middleInitial":"M.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":467222,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Schwarz, Matt S.","contributorId":88193,"corporation":false,"usgs":true,"family":"Schwarz","given":"Matt","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":467223,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mena, Lourdes","contributorId":105576,"corporation":false,"usgs":true,"family":"Mena","given":"Lourdes","email":"","affiliations":[],"preferred":false,"id":467224,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70003725,"text":"70003725 - 2013 - Shovelnose sturgeon spawning in relation to varying discharge treatments in a Missouri River tributary","interactions":[],"lastModifiedDate":"2013-10-23T08:33:19","indexId":"70003725","displayToPublicDate":"2012-08-01T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3301,"text":"River Research and Applications","active":true,"publicationSubtype":{"id":10}},"title":"Shovelnose sturgeon spawning in relation to varying discharge treatments in a Missouri River tributary","docAbstract":"Many lotic fish species use natural patterns of variation in discharge and temperature as spawning cues, and these natural patterns are often altered by river regulation. The effects of spring discharge and water temperature variation on the spawning of shovelnose sturgeon Scaphirhynchus platorynchus have not been well documented. From 2006 through 2009, we had the opportunity to study the effects of experimental discharge levels on shovelnose sturgeon spawning in the lower Marias River, a regulated tributary to the Missouri River in Montana. In 2006, shovelnose sturgeon spawned in the Marias River in conjunction with the ascending, peak (134 m<sup>3</sup>/s) and descending portions of the spring hydrograph and water temperatures from 16&deg;C to 19&deg;C. In 2008, shovelnose sturgeon spawned in conjunction with the peak (118 m<sup>3</sup>/s) and descending portions of the spring hydrograph and during a prolonged period of increased discharge (28&ndash;39 m<sup>3</sup>/s), coupled with water temperatures from 11&deg;C to 23&deg;C in the lower Marias River. No evidence of shovelnose sturgeon spawning was documented in the lower Marias River in 2007 or 2009 when discharge remained low (14 and 20 m<sup>3</sup>/s) despite water temperatures suitable and optimal (12&deg;C-24&deg;C) for shovelnose sturgeon embryo development. A similar relationship between shovelnose sturgeon spawning and discharge was observed in the Teton River. These data suggest that discharge must reach a threshold level (28 m<sup>3</sup>/s) and should be coupled with water temperatures suitable (12&deg;C-24&deg;C) or optimal (16&deg;C-20&deg;C) for shovelnose sturgeon embryo development to provide a spawning cue for shovelnose sturgeon in the lower Marias River.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"River Research and Applications","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"John Wiley & Sons, Ltd.","publisherLocation":"Hoboken, NJ","doi":"10.1002/rra.2587","usgsCitation":"Goodman, B., Guy, C., Camp, S., Gardner, W., Kappenman, K., and Webb, M., 2013, Shovelnose sturgeon spawning in relation to varying discharge treatments in a Missouri River tributary: River Research and Applications, v. 29, no. 8, p. 1004-1015, https://doi.org/10.1002/rra.2587.","productDescription":"12 p.","startPage":"1004","endPage":"1015","costCenters":[{"id":398,"text":"Montana Cooperative Fishery Research Unit","active":false,"usgs":true}],"links":[{"id":259392,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":259379,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1002/rra.2587","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Montana","otherGeospatial":"Marias River","volume":"29","issue":"8","noUsgsAuthors":false,"publicationDate":"2012-06-18","publicationStatus":"PW","scienceBaseUri":"505b8ee8e4b08c986b318c06","contributors":{"authors":[{"text":"Goodman, B.J.","contributorId":25813,"corporation":false,"usgs":true,"family":"Goodman","given":"B.J.","email":"","affiliations":[],"preferred":false,"id":348541,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Guy, C.S.","contributorId":59160,"corporation":false,"usgs":true,"family":"Guy","given":"C.S.","email":"","affiliations":[],"preferred":false,"id":348542,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Camp, S.L.","contributorId":93320,"corporation":false,"usgs":true,"family":"Camp","given":"S.L.","email":"","affiliations":[],"preferred":false,"id":348543,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gardner, W.M.","contributorId":7817,"corporation":false,"usgs":true,"family":"Gardner","given":"W.M.","email":"","affiliations":[],"preferred":false,"id":348539,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kappenman, K.M.","contributorId":13412,"corporation":false,"usgs":true,"family":"Kappenman","given":"K.M.","affiliations":[],"preferred":false,"id":348540,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Webb, M.A.H.","contributorId":102241,"corporation":false,"usgs":true,"family":"Webb","given":"M.A.H.","affiliations":[],"preferred":false,"id":348544,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
]}