The Southeast Regional Carbon Sequestration Partnership (SECARB) early project in western Mississippi has been testing monitoring tools and approaches to document storage efficiency and storage permanence under conditions of CO2 EOR as well as downdip injection into brine. Denbury Onshore LLC is host for the study and has brought a depleted oil and gas reservoir, Cranfield Field, under CO2 flood. Injection was started in July 2008 and has now achieved injection rates greater than 1.2 million tons/year though 23 wells, with cumulative mass injected as of August, 2010 of 2.2 million metric tons. Injection is into coarse grained fluvial deposits of the Cretaceous lower Tuscaloosa Formation in a gentle anticline at depths of 3300 m. A team of researchers from 10 institutions has collected data from five study areas, each with a different goal and different spatial and temporal scale.
\nThe Phase 2 study began at the start of injection and has been using pressure and temperature as a tool for assessing permanence mostly in the oil productive interval. Real-time read-out shows high sensitivity to distant changes in injection rate and confirms the geologic model of reservoir compartmentalization. Above-zone pressure monitoring ∼120 m above the injection interval is used to test the sensitivity of this approach for documentation of integrity of the confining system in an area of numerous well completions as pressure increase is induced in the reservoir by more than 70 bar.
\nMonitoring of the High Volume Injection Test (HiVIT) area includes repeat measurements of aqueous geochemistry in the injection zone. Rock-water- CO2interactions in the reservoir as CO2 dissolves are minimized by mineral “armoring” by abundant chlorite cement in high permeability reservoir sandstone. Geochemical monitoring of confined freshwater aquifers at depths of 70–100 m is underway. Groundwater analysis focuses on assessment of the sensitivity of this method to detect leakage above background variability. A repeat seismic survey of the HiVIT is planned for late 2010 to assess saturation change especially in downdip brine-only areas.
\nA study focused on feasibility of monitoring the shallow subsurface to separate leakage from normal complex surface fluxes is underway at an monitoring array installed in October 2009 to assess the interactions of recharge, soil gas, and shallow groundwater aquifers. Recent well re-entry and tracer injection will provide further information to interpret observed elevated deep-sourced methane.
\nThe Detailed Area Study (DAS) is collecting dense time-lapse data from closely-spaced three well array of an injector and two observation wells. The observation wells were completed with fiberglass casing to facilitate electrical resistance tomography (ERT) measurements, and a diverse array of instrumentation was both cemented behind casing and suspended on tubing. Injection started at the DAS December 1, 2009. We have measured pulsed neutron and resistivity via wireline, downhole and above-zone pressure, distributed temperature, and fluid chemistry including introduced pulses of perfluorocarbons, noble gases, and SF6 as tracers. Between wells, time-lapse crosswell seismic and electrical resistance tomography (ERT) are used to measure saturation change. The goals are to measure changes as fluids evolve from single phase (brine) to two phase (CO2–brine) in order to document linkages between pressure and sweep efficiency. A time-lapse VSP survey bridges the vertical resolution and areal coverage between cross-well and surface seismic. The repeat surveys for many tools are scheduled for September, 2010.
\nReservoir characterization based on cores, historic and new wireline log data, production history, hydrologic tests, fluid analysis, and a three-D seismic survey have been used in multiple numerical models to predict reservoir response in order to design effective monitoring strategies and optimize deployment. History matching of observed response to predicted response is used to interpret results and improve confidence in conceptual models and numerical approaches. Probabilistic methods have been used to assess the significant uncertainties resulting from reservoir heterogeneity.
\n\n
The introduction of nonnative pathogens is altering the scale, magnitude, and persistence of forest disturbance regimes in the western United States. In the high-altitude whitebark pine (Pinus albicaulis) forests of the Greater Yellowstone Ecosystem (GYE), white pine blister rust (Cronartium ribicola) is an introduced fungal pathogen that is now the principal cause of tree mortality in many locations. Although blister rust eradication has failed in the past, there is nonetheless substantial interest in monitoring the disease and its rate of progression in order to predict the future impact of forest disturbances within this critical ecosystem.
This study integrates data from five different field-monitoring campaigns from 1968 to 2008 to create a blister rust infection model for sites located throughout the GYE. Our model parameterizes the past rates of blister rust spread in order to project its future impact on high-altitude whitebark pine forests. Because the process of blister rust infection and mortality of individuals occurs over the time frame of many years, the model in this paper operates on a yearly time step and defines a series of whitebark pine infection classes: susceptible, slightly infected, moderately infected, and dead. In our analysis, we evaluate four different infection models that compare local vs. global density dependence on the dynamics of blister rust infection. We compare models in which blister rust infection is: (1) independent of the density of infected trees, (2) locally density-dependent, (3) locally density-dependent with a static global infection rate among all sites, and (4) both locally and globally density-dependent. Model evaluation through the predictive loss criterion for Bayesian analysis supports the model that is both locally and globally density-dependent. Using this best-fit model, we predicted the average residence times for the four stages of blister rust infection in our model, and we found that, on average, whitebark pine trees within the GYE remain susceptible for 6.7 years, take 10.9 years to transition from slightly infected to moderately infected, and take 9.4 years to transition from moderately infected to dead. Using our best-fit model, we project the future levels of blister rust infestation in the GYE at critical sites over the next 20 years.
","language":"English","publisher":"Wiley","doi":"10.1890/09-2118.1","issn":"10510761","usgsCitation":"Hatala, J., Dietze, M., Crabtree, R., Kendall, K.C., Six, D., and Moorcroft, P., 2011, An ecosystem-scale model for the spread of a host-specific forest pathogen in the Greater Yellowstone Ecosystem: Ecological Applications, v. 21, no. 4, p. 1138-1153, https://doi.org/10.1890/09-2118.1.","productDescription":"16 p.","startPage":"1138","endPage":"1153","numberOfPages":"16","ipdsId":"IP-023089","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":242076,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":214356,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1890/09-2118.1"}],"volume":"21","issue":"4","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5059ea2ee4b0c8380cd486ab","contributors":{"authors":[{"text":"Hatala, J.A.","contributorId":86986,"corporation":false,"usgs":true,"family":"Hatala","given":"J.A.","email":"","affiliations":[],"preferred":false,"id":443246,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dietze, M.C.","contributorId":43583,"corporation":false,"usgs":true,"family":"Dietze","given":"M.C.","email":"","affiliations":[],"preferred":false,"id":443245,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Crabtree, R.L.","contributorId":91696,"corporation":false,"usgs":true,"family":"Crabtree","given":"R.L.","email":"","affiliations":[],"preferred":false,"id":443248,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kendall, Katherine C. 0000-0002-4831-2287 kkendall@usgs.gov","orcid":"https://orcid.org/0000-0002-4831-2287","contributorId":3081,"corporation":false,"usgs":true,"family":"Kendall","given":"Katherine","email":"kkendall@usgs.gov","middleInitial":"C.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":443247,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Six, D.","contributorId":38375,"corporation":false,"usgs":true,"family":"Six","given":"D.","email":"","affiliations":[],"preferred":false,"id":443244,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Moorcroft, P.R.","contributorId":107118,"corporation":false,"usgs":true,"family":"Moorcroft","given":"P.R.","affiliations":[],"preferred":false,"id":443249,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70033914,"text":"70033914 - 2011 - Multi-scale temporal and spatial variation in genotypic composition of Cladophora-borne Escherichia coli populations in Lake Michigan","interactions":[],"lastModifiedDate":"2013-06-28T10:06:47","indexId":"70033914","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3716,"text":"Water Research","onlineIssn":"1879-2448","printIssn":"0043-1354","active":true,"publicationSubtype":{"id":10}},"title":"Multi-scale temporal and spatial variation in genotypic composition of Cladophora-borne Escherichia coli populations in Lake Michigan","docAbstract":"High concentrations of Escherichia coli in mats of Cladophora in the Great Lakes have raised concern over the continued use of this bacterium as an indicator of microbial water quality. Determining the impacts of these environmentally abundant E. coli, however, necessitates a better understanding of their ecology. In this study, the population structure of 4285 Cladophora-borne E. coli isolates, obtained over multiple three day periods from Lake Michigan Cladophora mats in 2007-2009, was examined by using DNA fingerprint analyses. In contrast to previous studies that have been done using isolates from attached Cladophora obtained over large time scales and distances, the extensive sampling done here on free-floating mats over successive days at multiple sites provided a large dataset that allowed for a detailed examination of changes in population structure over a wide range of spatial and temporal scales. While Cladophora-borne E. coli populations were highly diverse and consisted of many unique isolates, multiple clonal groups were also present and accounted for approximately 33% of all isolates examined. Patterns in population structure were also evident. At the broadest scales, E. coli populations showed some temporal clustering when examined by year, but did not show good spatial distinction among sites. E. coli population structure also showed significant patterns at much finer temporal scales. Populations were distinct on an individual mat basis at a given site, and on individual days within a single mat. Results of these studies indicate that Cladophora-borne E. coli populations consist of a mixture of stable, and possibly naturalized, strains that persist during the life of the mat, and more unique, transient strains that can change over rapid time scales. It is clear that further study of microbial processes at fine spatial and temporal scales is needed, and that caution must be taken when interpolating short term microbial dynamics from results obtained from weekly or monthly samples.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Water Research","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","doi":"10.1016/j.watres.2010.08.041","issn":"00431354","usgsCitation":"Badgley, B., Ferguson, J., Heuvel, A., Kleinheinz, G., McDermott, C., Sandrin, T., Kinzelman, J., Junion, E., Byappanahalli, M., Whitman, R., and Sadowsky, M., 2011, Multi-scale temporal and spatial variation in genotypic composition of Cladophora-borne Escherichia coli populations in Lake Michigan: Water Research, v. 45, no. 2, p. 721-731, https://doi.org/10.1016/j.watres.2010.08.041.","productDescription":"11 p.","startPage":"721","endPage":"731","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":214571,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.watres.2010.08.041"},{"id":242306,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Lake Michigan","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -87.91,41.61 ], [ -87.91,46.1 ], [ -84.74,46.1 ], [ -84.74,41.61 ], [ -87.91,41.61 ] ] ] } } ] }","volume":"45","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a5fc5e4b0c8380cd71111","contributors":{"authors":[{"text":"Badgley, B.D.","contributorId":82546,"corporation":false,"usgs":true,"family":"Badgley","given":"B.D.","email":"","affiliations":[],"preferred":false,"id":443153,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ferguson, J.","contributorId":31907,"corporation":false,"usgs":true,"family":"Ferguson","given":"J.","email":"","affiliations":[],"preferred":false,"id":443149,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Heuvel, A.V.","contributorId":9882,"corporation":false,"usgs":true,"family":"Heuvel","given":"A.V.","email":"","affiliations":[],"preferred":false,"id":443145,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kleinheinz, G.T.","contributorId":11021,"corporation":false,"usgs":true,"family":"Kleinheinz","given":"G.T.","affiliations":[],"preferred":false,"id":443146,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"McDermott, C.M.","contributorId":59643,"corporation":false,"usgs":true,"family":"McDermott","given":"C.M.","email":"","affiliations":[],"preferred":false,"id":443151,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Sandrin, T.R.","contributorId":97339,"corporation":false,"usgs":true,"family":"Sandrin","given":"T.R.","email":"","affiliations":[],"preferred":false,"id":443154,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Kinzelman, J.","contributorId":43584,"corporation":false,"usgs":true,"family":"Kinzelman","given":"J.","affiliations":[],"preferred":false,"id":443150,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Junion, E.A.","contributorId":105138,"corporation":false,"usgs":true,"family":"Junion","given":"E.A.","email":"","affiliations":[],"preferred":false,"id":443155,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Byappanahalli, M.N.","contributorId":11384,"corporation":false,"usgs":true,"family":"Byappanahalli","given":"M.N.","email":"","affiliations":[],"preferred":false,"id":443147,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Whitman, R.L.","contributorId":69750,"corporation":false,"usgs":true,"family":"Whitman","given":"R.L.","email":"","affiliations":[],"preferred":false,"id":443152,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Sadowsky, M.J.","contributorId":19337,"corporation":false,"usgs":true,"family":"Sadowsky","given":"M.J.","email":"","affiliations":[],"preferred":false,"id":443148,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}} ,{"id":70033912,"text":"70033912 - 2011 - Factors Controlling Pre-Columbian and Early Historic Maize Productivity in the American Southwest, Part 2: The Chaco Halo, Mesa Verde, Pajarito Plateau/Bandelier, and Zuni Archaeological Regions","interactions":[],"lastModifiedDate":"2012-03-12T17:21:30","indexId":"70033912","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2181,"text":"Journal of Archaeological Method and Theory","active":true,"publicationSubtype":{"id":10}},"title":"Factors Controlling Pre-Columbian and Early Historic Maize Productivity in the American Southwest, Part 2: The Chaco Halo, Mesa Verde, Pajarito Plateau/Bandelier, and Zuni Archaeological Regions","docAbstract":"Chemical and nutrient analyses of 471 soil samples from 161 sites within four archaeological regions (Pajarito Plateau/Bandelier, Zuni, Mesa Verde, and the Chaco Halo) were combined with historical climate data in order to evaluate the agricultural productivity of each region. In addition, maize productivity and field-life calculations were performed using organic-nitrogen (N) values from the upper 50 cm of soil in each region and a range (1-3%/year) of N-mineralization rates. The endmember values of this range were assumed representative of dry and wet climate states. With respect to precipitation and heat, the Pajarito Plateau area has excellent agricultural potential; the agricultural potentials of the Zuni and Mesa Verde regions are good; and the agricultural potential of the Chaco Halo is poor. Calculations of N mineralization and field life indicate that Morfield Valley in Mesa Verde should be able to provide 10 bu/ac of maize for decades (without the addition of N) when organic N-mineralization rates exceed 2%. Productivity and field-life potential decrease in the following order: Zuni, Mesa Verde, Bandelier, Chaco Halo. The Chaco Halo is very unproductive; e. g., 10 bushels per acre can be achieved within the Halo only from soils having the highest organic N concentration (third quartile) and which undergo the highest rate (3%) of N mineralization. ?? 2010 US Government.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Archaeological Method and Theory","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1007/s10816-010-9083-y","issn":"10725369","usgsCitation":"Benson, L.V., 2011, Factors Controlling Pre-Columbian and Early Historic Maize Productivity in the American Southwest, Part 2: The Chaco Halo, Mesa Verde, Pajarito Plateau/Bandelier, and Zuni Archaeological Regions: Journal of Archaeological Method and Theory, v. 18, no. 1, p. 61-109, https://doi.org/10.1007/s10816-010-9083-y.","startPage":"61","endPage":"109","numberOfPages":"49","costCenters":[],"links":[{"id":214536,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s10816-010-9083-y"},{"id":242271,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"18","issue":"1","noUsgsAuthors":false,"publicationDate":"2010-06-01","publicationStatus":"PW","scienceBaseUri":"505a0e97e4b0c8380cd53527","contributors":{"authors":[{"text":"Benson, L. V.","contributorId":50159,"corporation":false,"usgs":true,"family":"Benson","given":"L.","email":"","middleInitial":"V.","affiliations":[],"preferred":false,"id":443142,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70033908,"text":"70033908 - 2011 - Developing user-friendly habitat suitability tools from regional stream fish survey data","interactions":[],"lastModifiedDate":"2013-04-24T21:47:12","indexId":"70033908","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2886,"text":"North American Journal of Fisheries Management","active":true,"publicationSubtype":{"id":10}},"title":"Developing user-friendly habitat suitability tools from regional stream fish survey data","docAbstract":"We developed user-friendly fish habitat suitability tools (plots) for fishery managers in Michigan; these tools are based on driving habitat variables and fish population estimates for several hundred stream sites throughout the state. We generated contour plots to show patterns in fish biomass for over 60 common species (and for 120 species grouped at the family level) in relation to axes of catchment area and low-flow yield (90% exceedance flow divided by catchment area) and also in relation to axes of mean and weekly range of July temperatures. The plots showed distinct patterns in fish habitat suitability at each level of biological organization studied and were useful for quantitatively comparing river sites. We demonstrate how these plots can be used to support stream management, and we provide examples pertaining to resource assessment, trout stocking, angling regulations, chemical reclamation of marginal trout streams, indicator species, instream flow protection, and habitat restoration. These straightforward and effective tools are electronically available so that managers can easily access and incorporate them into decision protocols and presentations.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"North American Journal of Fisheries Management","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"American Fisheries Society","doi":"10.1080/02755947.2011.557965","issn":"02755947","usgsCitation":"Zorn, T., Seelbach, P., and Wiley, M., 2011, Developing user-friendly habitat suitability tools from regional stream fish survey data: North American Journal of Fisheries Management, v. 31, no. 1, p. 41-55, https://doi.org/10.1080/02755947.2011.557965.","productDescription":"15 p.","startPage":"41","endPage":"55","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":214479,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1080/02755947.2011.557965"},{"id":242207,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"31","issue":"1","noUsgsAuthors":false,"publicationDate":"2011-03-09","publicationStatus":"PW","scienceBaseUri":"505a0013e4b0c8380cd4f594","contributors":{"authors":[{"text":"Zorn, T.G.","contributorId":11316,"corporation":false,"usgs":true,"family":"Zorn","given":"T.G.","email":"","affiliations":[],"preferred":false,"id":443127,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Seelbach, P.","contributorId":16667,"corporation":false,"usgs":true,"family":"Seelbach","given":"P.","email":"","affiliations":[],"preferred":false,"id":443128,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wiley, M.J.","contributorId":68976,"corporation":false,"usgs":true,"family":"Wiley","given":"M.J.","email":"","affiliations":[],"preferred":false,"id":443129,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70033906,"text":"70033906 - 2011 - U.S. Department of Energy's site screening, site selection, and initial characterization for storage of CO2 in deep geological formations","interactions":[],"lastModifiedDate":"2017-05-24T12:16:07","indexId":"70033906","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"U.S. Department of Energy's site screening, site selection, and initial characterization for storage of CO2 in deep geological formations","docAbstract":"The U.S. Department of Energy (DOE) is the lead Federal agency for the development and deployment of carbon sequestration technologies. As part of its mission to facilitate technology transfer and develop guidelines from lessons learned, DOE is developing a series of best practice manuals (BPMs) for carbon capture and storage (CCS). The \"Site Screening, Site Selection, and Initial Characterization for Storage of CO2 in Deep Geological Formations\" BPM is a compilation of best practices and includes flowchart diagrams illustrating the general decision making process for Site Screening, Site Selection, and Initial Characterization. The BPM integrates the knowledge gained from various programmatic efforts, with particular emphasis on the Characterization Phase through pilot-scale CO2 injection testing of the Validation Phase of the Regional Carbon Sequestration Partnership (RCSP) Initiative. Key geologic and surface elements that suitable candidate storage sites should possess are identified, along with example Site Screening, Site Selection, and Initial Characterization protocols for large-scale geologic storage projects located across diverse geologic and regional settings. This manual has been written as a working document, establishing a framework and methodology for proper site selection for CO2 geologic storage. This will be useful for future CO2 emitters, transporters, and storage providers. It will also be of use in informing local, regional, state, and national governmental agencies of best practices in proper sequestration site selection. Furthermore, it will educate the inquisitive general public on options and processes for geologic CO2 storage. In addition to providing best practices, the manual presents a geologic storage resource and capacity classification system. The system provides a \"standard\" to communicate storage and capacity estimates, uncertainty and project development risk, data guidelines and analyses for adequate site characterization, and guidelines for reporting estimates within the classification based on each project's status.
","largerWorkTitle":"Energy Procedia","conferenceTitle":"10th International Conference on Greenhouse Gas Control Technologies","conferenceDate":"19 September 2010 through 23 September 2010","conferenceLocation":"Amsterdam","language":"English","doi":"10.1016/j.egypro.2011.02.427","issn":"18766102","usgsCitation":"Rodosta, T., Litynski, J., Plasynski, S., Hickman, S., Frailey, S., and Myer, L., 2011, U.S. Department of Energy's site screening, site selection, and initial characterization for storage of CO2 in deep geological formations, in Energy Procedia, v. 4, Amsterdam, 19 September 2010 through 23 September 2010, p. 4664-4671, https://doi.org/10.1016/j.egypro.2011.02.427.","productDescription":"8 p.","startPage":"4664","endPage":"4671","costCenters":[],"links":[{"id":475383,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.egypro.2011.02.427","text":"Publisher Index Page"},{"id":242174,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"4","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505bba3ee4b08c986b32806d","contributors":{"authors":[{"text":"Rodosta, T.D.","contributorId":30057,"corporation":false,"usgs":true,"family":"Rodosta","given":"T.D.","email":"","affiliations":[],"preferred":false,"id":443117,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Litynski, J.T.","contributorId":64043,"corporation":false,"usgs":true,"family":"Litynski","given":"J.T.","email":"","affiliations":[],"preferred":false,"id":443120,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Plasynski, S.I.","contributorId":48398,"corporation":false,"usgs":true,"family":"Plasynski","given":"S.I.","email":"","affiliations":[],"preferred":false,"id":443118,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hickman, S.","contributorId":79995,"corporation":false,"usgs":true,"family":"Hickman","given":"S.","email":"","affiliations":[],"preferred":false,"id":443122,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Frailey, S.","contributorId":66054,"corporation":false,"usgs":true,"family":"Frailey","given":"S.","email":"","affiliations":[],"preferred":false,"id":443121,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Myer, L.","contributorId":53182,"corporation":false,"usgs":true,"family":"Myer","given":"L.","email":"","affiliations":[],"preferred":false,"id":443119,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70033904,"text":"70033904 - 2011 - Using multi-source satellite data for lake level modelling in ungauged basins: A case study for Lake Turkana, East Africa","interactions":[],"lastModifiedDate":"2012-03-12T17:21:31","indexId":"70033904","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1929,"text":"Hydrology and Earth System Sciences Discussions","active":true,"publicationSubtype":{"id":10}},"title":"Using multi-source satellite data for lake level modelling in ungauged basins: A case study for Lake Turkana, East Africa","docAbstract":"Managing limited surface water resources is a great challenge in areas where ground-based data are either limited or unavailable. Direct or indirect measurements of surface water resources through remote sensing offer several advantages of monitoring in ungauged basins. A physical based hydrologic technique to monitor lake water levels in ungauged basins using multi-source satellite data such as satellite-based rainfall estimates, modelled runoff, evapotranspiration, a digital elevation model, and other data is presented. This approach is applied to model Lake Turkana water levels from 1998 to 2009. Modelling results showed that the model can reasonably capture all the patterns and seasonal variations of the lake water level fluctuations. A composite lake level product of TOPEX/Poseidon, Jason-1, and ENVISAT satellite altimetry data is used for model calibration (1998-2000) and model validation (2001-2009). Validation results showed that model-based lake levels are in good agreement with observed satellite altimetry data. Compared to satellite altimetry data, the Pearson's correlation coefficient was found to be 0.81 during the validation period. The model efficiency estimated using NSCE is found to be 0.93, 0.55 and 0.66 for calibration, validation and combined periods, respectively. Further, the model-based estimates showed a root mean square error of 0.62 m and mean absolute error of 0.46 m with a positive mean bias error of 0.36 m for the validation period (2001-2009). These error estimates were found to be less than 15 % of the natural variability of the lake, thus giving high confidence on the modelled lake level estimates. The approach presented in this paper can be used to (a) simulate patterns of lake water level variations in data scarce regions, (b) operationally monitor lake water levels in ungauged basins, (c) derive historical lake level information using satellite rainfall and evapotranspiration data, and (d) augment the information provided by the satellite altimetry systems on changes in lake water levels. ?? Author(s) 2011.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Hydrology and Earth System Sciences Discussions","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.5194/hessd-8-4851-2011","issn":"18122108","usgsCitation":"Velpuri, N., Senay, G., and Asante, K., 2011, Using multi-source satellite data for lake level modelling in ungauged basins: A case study for Lake Turkana, East Africa: Hydrology and Earth System Sciences Discussions, v. 8, no. 3, p. 4851-4890, https://doi.org/10.5194/hessd-8-4851-2011.","startPage":"4851","endPage":"4890","numberOfPages":"40","costCenters":[],"links":[{"id":475384,"rank":10000,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.5194/hessd-8-4851-2011","text":"Publisher Index Page"},{"id":214416,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.5194/hessd-8-4851-2011"},{"id":242140,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"8","issue":"3","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505bc074e4b08c986b32a12b","contributors":{"authors":[{"text":"Velpuri, N.M. 0000-0002-6370-1926","orcid":"https://orcid.org/0000-0002-6370-1926","contributorId":66495,"corporation":false,"usgs":true,"family":"Velpuri","given":"N.M.","affiliations":[],"preferred":false,"id":443113,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Senay, G.B. 0000-0002-8810-8539","orcid":"https://orcid.org/0000-0002-8810-8539","contributorId":17741,"corporation":false,"usgs":true,"family":"Senay","given":"G.B.","affiliations":[],"preferred":false,"id":443112,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Asante, K.O. 0000-0001-5408-1852","orcid":"https://orcid.org/0000-0001-5408-1852","contributorId":17051,"corporation":false,"usgs":true,"family":"Asante","given":"K.O.","affiliations":[],"preferred":false,"id":443111,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70033884,"text":"70033884 - 2011 - Calibration of models using groundwater age","interactions":[],"lastModifiedDate":"2020-01-28T17:06:03","indexId":"70033884","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1923,"text":"Hydrogeology Journal","active":true,"publicationSubtype":{"id":10}},"title":"Calibration of models using groundwater age","docAbstract":"There have been substantial efforts recently by geochemists to determine the age of groundwater (time since water entered the system) and its uncertainty, and by hydrologists to use these data to help calibrate groundwater models. This essay discusses the calibration of models using groundwater age, with conclusions that emphasize what is practical given current limitations rather than theoretical possibilities.","language":"English, French","publisher":"Springer","doi":"10.1007/s10040-010-0637-6","issn":"14312174","usgsCitation":"Sanford, W.E., 2011, Calibration of models using groundwater age: Hydrogeology Journal, v. 19, no. 1, p. 13-16, https://doi.org/10.1007/s10040-010-0637-6.","productDescription":"4 p.","startPage":"13","endPage":"16","costCenters":[{"id":434,"text":"National Research Program","active":false,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":241811,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"19","issue":"1","noUsgsAuthors":false,"publicationDate":"2010-09-24","publicationStatus":"PW","scienceBaseUri":"5059f316e4b0c8380cd4b5c1","contributors":{"authors":[{"text":"Sanford, Ward E. 0000-0002-6624-0280 wsanford@usgs.gov","orcid":"https://orcid.org/0000-0002-6624-0280","contributorId":2268,"corporation":false,"usgs":true,"family":"Sanford","given":"Ward","email":"wsanford@usgs.gov","middleInitial":"E.","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true},{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"preferred":true,"id":780677,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70033875,"text":"70033875 - 2011 - Predicting community responses to perturbations in the face of imperfect knowledge and network complexity","interactions":[],"lastModifiedDate":"2012-03-12T17:21:30","indexId":"70033875","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1465,"text":"Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Predicting community responses to perturbations in the face of imperfect knowledge and network complexity","docAbstract":"How best to predict the effects of perturbations to ecological communities has been a long-standing goal for both applied and basic ecology. This quest has recently been revived by new empirical data, new analysis methods, and increased computing speed, with the promise that ecologically important insights may be obtainable from a limited knowledge of community interactions. We use empirically based and simulated networks of varying size and connectance to assess two limitations to predicting perturbation responses in multispecies communities: (1) the inaccuracy by which species interaction strengths are empirically quantified and (2) the indeterminacy of species responses due to indirect effects associated with network size and structure. We find that even modest levels of species richness and connectance (??25 pairwise interactions) impose high requirements for interaction strength estimates because system indeterminacy rapidly overwhelms predictive insights. Nevertheless, even poorly estimated interaction strengths provide greater average predictive certainty than an approach that uses only the sign of each interaction. Our simulations provide guidance in dealing with the trade-offs involved in maximizing the utility of network approaches for predicting dynamics in multispecies communities. ?? 2011 by the Ecological Society of America.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Ecology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1890/10-1354.1","issn":"00129658","usgsCitation":"Novak, M., Wootton, J., Doak, D., Emmerson, M., Estes, J.A., and Tinker, M.T., 2011, Predicting community responses to perturbations in the face of imperfect knowledge and network complexity: Ecology, v. 92, no. 4, p. 836-846, https://doi.org/10.1890/10-1354.1.","startPage":"836","endPage":"846","numberOfPages":"11","costCenters":[],"links":[{"id":214504,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1890/10-1354.1"},{"id":242237,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"92","issue":"4","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a81b1e4b0c8380cd7b699","contributors":{"authors":[{"text":"Novak, M.","contributorId":6248,"corporation":false,"usgs":true,"family":"Novak","given":"M.","email":"","affiliations":[],"preferred":false,"id":442966,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wootton, J.T.","contributorId":60460,"corporation":false,"usgs":true,"family":"Wootton","given":"J.T.","email":"","affiliations":[],"preferred":false,"id":442971,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Doak, D.F.","contributorId":39729,"corporation":false,"usgs":true,"family":"Doak","given":"D.F.","email":"","affiliations":[],"preferred":false,"id":442968,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Emmerson, M.","contributorId":18591,"corporation":false,"usgs":true,"family":"Emmerson","given":"M.","email":"","affiliations":[],"preferred":false,"id":442967,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Estes, J. A.","contributorId":53319,"corporation":false,"usgs":true,"family":"Estes","given":"J.","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":442969,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Tinker, M. T. 0000-0002-3314-839X","orcid":"https://orcid.org/0000-0002-3314-839X","contributorId":54152,"corporation":false,"usgs":false,"family":"Tinker","given":"M.","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":442970,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70033873,"text":"70033873 - 2011 - Using a genetic mixture model to study phenotypic traits: Differential fecundity among Yukon river Chinook Salmon","interactions":[],"lastModifiedDate":"2018-04-23T10:26:01","indexId":"70033873","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","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":"Using a genetic mixture model to study phenotypic traits: Differential fecundity among Yukon river Chinook Salmon","docAbstract":"Fecundity is a vital population characteristic that is directly linked to the productivity of fish populations. Historic data from Yukon River (Alaska) Chinook salmon Oncorhynchus tshawytscha suggest that length‐adjusted fecundity differs among populations within the drainage and either is temporally variable or has declined. Yukon River Chinook salmon have been harvested in large‐mesh gill‐net fisheries for decades, and a decline in fecundity was considered a potential evolutionary response to size‐selective exploitation. The implications for fishery conservation and management led us to further investigate the fecundity of Yukon River Chinook salmon populations. Matched observations of fecundity, length, and genotype were collected from a sample of adult females captured from the multipopulation spawning migration near the mouth of the Yukon River in 2008. These data were modeled by using a new mixture model, which was developed by extending the conditional maximum likelihood mixture model that is commonly used to estimate the composition of multipopulation mixtures based on genetic data. The new model facilitates maximum likelihood estimation of stock‐specific fecundity parameters without first using individual assignment to a putative population of origin, thus avoiding potential biases caused by assignment error. The hypothesis that fecundity of Chinook salmon has declined was not supported; this result implies that fecundity exhibits high interannual variability. However, length‐adjusted fecundity estimates decreased as migratory distance increased, and fecundity was more strongly dependent on fish size for populations spawning in the middle and upper portions of the drainage. These findings provide insights into potential constraints on reproductive investment imposed by long migrations and warrant consideration in fisheries management and conservation. The new mixture model extends the utility of genetic markers to new applications and can be easily adapted to study any observable trait or condition that may vary among populations.
","language":"English","publisher":"Wiley","doi":"10.1080/00028487.2011.558776","issn":"00028487","usgsCitation":"Bromaghin, J.F., Evenson, D., McLain, T., and Flannery, B.G., 2011, Using a genetic mixture model to study phenotypic traits: Differential fecundity among Yukon river Chinook Salmon: Transactions of the American Fisheries Society, v. 140, no. 2, p. 235-249, https://doi.org/10.1080/00028487.2011.558776.","productDescription":"15 p.","startPage":"235","endPage":"249","numberOfPages":"15","costCenters":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"links":[{"id":242205,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":214477,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1080/00028487.2011.558776"}],"volume":"140","issue":"2","noUsgsAuthors":false,"publicationDate":"2011-03-16","publicationStatus":"PW","scienceBaseUri":"505bc021e4b08c986b329f47","contributors":{"authors":[{"text":"Bromaghin, Jeffrey F. 0000-0002-7209-9500 jbromaghin@usgs.gov","orcid":"https://orcid.org/0000-0002-7209-9500","contributorId":139899,"corporation":false,"usgs":true,"family":"Bromaghin","given":"Jeffrey","email":"jbromaghin@usgs.gov","middleInitial":"F.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":442956,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Evenson, D.F.","contributorId":104356,"corporation":false,"usgs":true,"family":"Evenson","given":"D.F.","email":"","affiliations":[],"preferred":false,"id":442958,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"McLain, T.H.","contributorId":15899,"corporation":false,"usgs":true,"family":"McLain","given":"T.H.","email":"","affiliations":[],"preferred":false,"id":442955,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Flannery, Blair G.","contributorId":95675,"corporation":false,"usgs":false,"family":"Flannery","given":"Blair","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":442957,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70033866,"text":"70033866 - 2011 - Modeling PSInSAR time series without phase unwrapping","interactions":[],"lastModifiedDate":"2017-04-06T13:55:05","indexId":"70033866","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","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":"Modeling PSInSAR time series without phase unwrapping","docAbstract":"In this paper, we propose a least-squares-based method for multitemporal synthetic aperture radar interferometry that allows one to estimate deformations without the need of phase unwrapping. The method utilizes a series of multimaster wrapped differential interferograms with short baselines and focuses on arcs at which there are no phase ambiguities. An outlier detector is used to identify and remove the arcs with phase ambiguities, and a pseudoinverse of the variance-covariance matrix is used as the weight matrix of the correlated observations. The deformation rates at coherent points are estimated with a least squares model constrained by reference points. The proposed approach is verified with a set of simulated data.
","language":"English","publisher":"IEEE","doi":"10.1109/TGRS.2010.2052625","issn":"01962892","usgsCitation":"Zhang, L., Ding, X., and Lu, Z., 2011, Modeling PSInSAR time series without phase unwrapping: IEEE Transactions on Geoscience and Remote Sensing, v. 49, no. 1, p. 547-556, https://doi.org/10.1109/TGRS.2010.2052625.","productDescription":"10 p.","startPage":"547","endPage":"556","numberOfPages":"10","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":242041,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":214324,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1109/TGRS.2010.2052625"}],"volume":"49","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a5bcbe4b0c8380cd6f7e6","contributors":{"authors":[{"text":"Zhang, L.","contributorId":41543,"corporation":false,"usgs":true,"family":"Zhang","given":"L.","email":"","affiliations":[],"preferred":false,"id":442902,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ding, X.","contributorId":49990,"corporation":false,"usgs":true,"family":"Ding","given":"X.","email":"","affiliations":[],"preferred":false,"id":442903,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lu, Z.","contributorId":106241,"corporation":false,"usgs":true,"family":"Lu","given":"Z.","affiliations":[],"preferred":false,"id":442904,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70033852,"text":"70033852 - 2011 - Developing effective sampling designs for monitoring natural resources in Alaskan national parks: an example using simulations and vegetation data","interactions":[],"lastModifiedDate":"2013-11-06T14:53:45","indexId":"70033852","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1015,"text":"Biological Conservation","active":true,"publicationSubtype":{"id":10}},"title":"Developing effective sampling designs for monitoring natural resources in Alaskan national parks: an example using simulations and vegetation data","docAbstract":"Monitoring natural resources in Alaskan national parks is challenging because of their remoteness, limited accessibility, and high sampling costs. We describe an iterative, three-phased process for developing sampling designs based on our efforts to establish a vegetation monitoring program in southwest Alaska. In the first phase, we defined a sampling frame based on land ownership and specific vegetated habitats within the park boundaries and used Path Distance analysis tools to create a GIS layer that delineated portions of each park that could be feasibly accessed for ground sampling. In the second phase, we used simulations based on landcover maps to identify size and configuration of the ground sampling units (single plots or grids of plots) and to refine areas to be potentially sampled. In the third phase, we used a second set of simulations to estimate sample size and sampling frequency required to have a reasonable chance of detecting a minimum trend in vegetation cover for a specified time period and level of statistical confidence. Results of the first set of simulations indicated that a spatially balanced random sample of single plots from the most common landcover types yielded the most efficient sampling scheme. Results of the second set of simulations were compared with field data and indicated that we should be able to detect at least a 25% change in vegetation attributes over 31. years by sampling 8 or more plots per year every five years in focal landcover types. This approach would be especially useful in situations where ground sampling is restricted by access.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Biological Conservation","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","doi":"10.1016/j.biocon.2010.09.032","issn":"00063207","usgsCitation":"Thompson, W.L., Miller, A.E., Mortenson, D.C., and Woodward, A., 2011, Developing effective sampling designs for monitoring natural resources in Alaskan national parks: an example using simulations and vegetation data: Biological Conservation, v. 144, no. 5, p. 1270-1277, https://doi.org/10.1016/j.biocon.2010.09.032.","productDescription":"8 p.","startPage":"1270","endPage":"1277","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":214116,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.biocon.2010.09.032"},{"id":241808,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Alagnak Wild River;Aniakchak National Monument And Preserve;Katmai National Park And Preserve;Kenai Fjords National Park;Lake Clark National Park And Preserve;Southwest Alaska Network","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -162.93,56.49 ], [ -162.93,62.09 ], [ -145.44,62.09 ], [ -145.44,56.49 ], [ -162.93,56.49 ] ] ] } } ] }","volume":"144","issue":"5","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a000fe4b0c8380cd4f579","contributors":{"authors":[{"text":"Thompson, William L.","contributorId":6269,"corporation":false,"usgs":true,"family":"Thompson","given":"William","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":442837,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Miller, Amy E.","contributorId":101468,"corporation":false,"usgs":true,"family":"Miller","given":"Amy","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":442839,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mortenson, Dorothy C.","contributorId":66075,"corporation":false,"usgs":true,"family":"Mortenson","given":"Dorothy","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":442838,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Woodward, Andrea 0000-0003-0604-9115 awoodward@usgs.gov","orcid":"https://orcid.org/0000-0003-0604-9115","contributorId":3028,"corporation":false,"usgs":true,"family":"Woodward","given":"Andrea","email":"awoodward@usgs.gov","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true},{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true}],"preferred":true,"id":442836,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70033851,"text":"70033851 - 2011 - Study on a pattern classification method of soil quality based on simplified learning sample dataset","interactions":[],"lastModifiedDate":"2022-05-19T16:27:22.871121","indexId":"70033851","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Study on a pattern classification method of soil quality based on simplified learning sample dataset","docAbstract":"Based on the massive soil information in current soil quality grade evaluation, this paper constructed an intelligent classification approach of soil quality grade depending on classical sampling techniques and disordered multiclassification Logistic regression model. As a case study to determine the learning sample capacity under certain confidence level and estimation accuracy, and use c-means algorithm to automatically extract the simplified learning sample dataset from the cultivated soil quality grade evaluation database for the study area, Long chuan county in Guangdong province, a disordered Logistic classifier model was then built and the calculation analysis steps of soil quality grade intelligent classification were given. The result indicated that the soil quality grade can be effectively learned and predicted by the extracted simplified dataset through this method, which changed the traditional method for soil quality grade evaluation. ?? 2011 IEEE.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Proceedings - 4th International Conference on Intelligent Computation Technology and Automation, ICICTA 2011","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"2011 4th International Conference on Intelligent Computation Technology and Automation, ICICTA 2011","conferenceDate":"Mar 28-29, 2011","conferenceLocation":"Shenzhen, China","language":"English","publisher":"IEEE","doi":"10.1109/ICICTA.2011.339","usgsCitation":"Zhang, J., Liu, S., Hu, Y., and Tian, Y., 2011, Study on a pattern classification method of soil quality based on simplified learning sample dataset, in Proceedings - 4th International Conference on Intelligent Computation Technology and Automation, ICICTA 2011, v. 2, Shenzhen, China, Mar 28-29, 2011, p. 194-197, https://doi.org/10.1109/ICICTA.2011.339.","productDescription":"4 p.","startPage":"194","endPage":"197","numberOfPages":"4","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":241807,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505b9cdde4b08c986b31d4f3","contributors":{"authors":[{"text":"Zhang, Jiahua","contributorId":35479,"corporation":false,"usgs":true,"family":"Zhang","given":"Jiahua","email":"","affiliations":[],"preferred":false,"id":442832,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Liu, S.","contributorId":93170,"corporation":false,"usgs":true,"family":"Liu","given":"S.","affiliations":[],"preferred":false,"id":442835,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hu, Y.","contributorId":68474,"corporation":false,"usgs":true,"family":"Hu","given":"Y.","email":"","affiliations":[],"preferred":false,"id":442834,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Tian, Y.","contributorId":66886,"corporation":false,"usgs":true,"family":"Tian","given":"Y.","email":"","affiliations":[],"preferred":false,"id":442833,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70033849,"text":"70033849 - 2011 - Modifications to existing ground-motion prediction equations in light of new data","interactions":[],"lastModifiedDate":"2023-11-29T12:06:31.055778","indexId":"70033849","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","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":"Modifications to existing ground-motion prediction equations in light of new data","docAbstract":"We compare our recent ground-motion prediction equations (GMPEs) for western North America (WNA; Boore and Atkinson, 2008 [BA08]) and eastern North America (ENA; Atkinson and Boore, 2006 [AB06]; Atkinson, 2008 [A08]) to newly available ground-motion data. Based on these comparisons, we suggest revisions to our GMPEs for both WNA and ENA. The revisions for WNA affect only those events with M ≤ 5:75, while those for ENA affect all magnitudes. These are simple modi[1]fications to the existing GMPEs that bring them into significantly better agreement with data. The wealth of new data clearly demonstrates that these modifications are warranted; we therefore recommend the use of the updated equations for seismic hazard analyses and other applications. More detailed studies are under way by many investigators (including ourselves) to develop a new generation of ground-motion models in both WNA and ENA from scratch, through a comprehensive reevaluation of source, path, site, and modeling issues. In time, those more complete models will replace those proposed in this study. However, as the new models will be several years in development, we recommend using the modified models proposed herein, labeled BA08′ (for WNA), AB06′ (for ENA), and A08′ (for ENA, to replace A08), as interim updates to our existing models. The proposed models are in demonstrable agreement with a rich database of ground motions for moderate-magnitude earthquakes in both WNA and ENA and are constrained at larger magnitudes by the BA08 magnitude and distance scaling.
","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0120100270","issn":"00371106","usgsCitation":"Atkinson, G.M., and Boore, D., 2011, Modifications to existing ground-motion prediction equations in light of new data: Bulletin of the Seismological Society of America, v. 101, no. 3, p. 1121-1135, https://doi.org/10.1785/0120100270.","productDescription":"15 p.","startPage":"1121","endPage":"1135","numberOfPages":"15","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":242302,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"101","issue":"3","noUsgsAuthors":false,"publicationDate":"2011-05-29","publicationStatus":"PW","scienceBaseUri":"505a5cbae4b0c8380cd6fede","contributors":{"authors":[{"text":"Atkinson, G. M.","contributorId":69283,"corporation":false,"usgs":true,"family":"Atkinson","given":"G.","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":442828,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Boore, D.M. 0000-0002-8605-9673","orcid":"https://orcid.org/0000-0002-8605-9673","contributorId":64226,"corporation":false,"usgs":true,"family":"Boore","given":"D.M.","affiliations":[],"preferred":false,"id":442827,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70033848,"text":"70033848 - 2011 - Cumulative effects of restoration efforts on ecological characteristics of an open water area within the Upper Mississippi River","interactions":[],"lastModifiedDate":"2012-03-12T17:21:30","indexId":"70033848","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","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":"Cumulative effects of restoration efforts on ecological characteristics of an open water area within the Upper Mississippi River","docAbstract":"Ecological restoration efforts in large rivers generally aim to ameliorate ecological effects associated with large-scale modification of those rivers. This study examined whether the effects of restoration efforts-specifically those of island construction-within a largely open water restoration area of the Upper Mississippi River (UMR) might be seen at the spatial scale of that 3476ha area. The cumulative effects of island construction, when observed over multiple years, were postulated to have made the restoration area increasingly similar to a positive reference area (a proximate area comprising contiguous backwater areas) and increasingly different from two negative reference areas. The negative reference areas represented the Mississippi River main channel in an area proximate to the restoration area and an open water area in a related Mississippi River reach that has seen relatively little restoration effort. Inferences on the effects of restoration were made by comparing constrained and unconstrained models of summer chlorophyll a (CHL), summer inorganic suspended solids (ISS) and counts of benthic mayfly larvae. Constrained models forced trends in means or in both means and sampling variances to become, over time, increasingly similar to those in the positive reference area and increasingly dissimilar to those in the negative reference areas. Trends were estimated over 12- (mayflies) or 14-year sampling periods, and were evaluated using model information criteria. Based on these methods, restoration effects were observed for CHL and mayflies while evidence in favour of restoration effects on ISS was equivocal. These findings suggest that the cumulative effects of island building at relatively large spatial scales within large rivers may be estimated using data from large-scale surveillance monitoring programs. Published in 2010 by John Wiley & Sons, Ltd.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"River Research and Applications","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1002/rra.1375","issn":"15351459","usgsCitation":"Gray, B., Shi, W., Houser, J., Rogala, J.T., Guan, Z., and Cochran-Biederman, J.L., 2011, Cumulative effects of restoration efforts on ecological characteristics of an open water area within the Upper Mississippi River: River Research and Applications, v. 27, no. 5, p. 537-549, https://doi.org/10.1002/rra.1375.","startPage":"537","endPage":"549","numberOfPages":"13","costCenters":[],"links":[{"id":214533,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1002/rra.1375"},{"id":242268,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"27","issue":"5","noUsgsAuthors":false,"publicationDate":"2011-05-31","publicationStatus":"PW","scienceBaseUri":"5059fd0ae4b0c8380cd4e5d6","contributors":{"authors":[{"text":"Gray, B. R. 0000-0001-7682-9550","orcid":"https://orcid.org/0000-0001-7682-9550","contributorId":14785,"corporation":false,"usgs":true,"family":"Gray","given":"B. R.","affiliations":[],"preferred":false,"id":442822,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Shi, W.","contributorId":6274,"corporation":false,"usgs":true,"family":"Shi","given":"W.","email":"","affiliations":[],"preferred":false,"id":442821,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Houser, J.N.","contributorId":91603,"corporation":false,"usgs":true,"family":"Houser","given":"J.N.","email":"","affiliations":[],"preferred":false,"id":442826,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Rogala, J. T.","contributorId":28572,"corporation":false,"usgs":true,"family":"Rogala","given":"J.","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":442823,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Guan, Z.","contributorId":86188,"corporation":false,"usgs":true,"family":"Guan","given":"Z.","email":"","affiliations":[],"preferred":false,"id":442825,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Cochran-Biederman, J. L.","contributorId":46318,"corporation":false,"usgs":true,"family":"Cochran-Biederman","given":"J.","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":442824,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70033844,"text":"70033844 - 2011 - Hydrogeology, Chemical and Microbial Activity Measurement Through Deep Permafrost","interactions":[],"lastModifiedDate":"2012-03-12T17:21:30","indexId":"70033844","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1861,"text":"Ground Water","active":true,"publicationSubtype":{"id":10}},"title":"Hydrogeology, Chemical and Microbial Activity Measurement Through Deep Permafrost","docAbstract":"Little is known about hydrogeochemical conditions beneath thick permafrost, particularly in fractured crystalline rock, due to difficulty in accessing this environment. The purpose of this investigation was to develop methods to obtain physical, chemical, and microbial information about the subpermafrost environment from a surface-drilled borehole. Using a U-tube, gas and water samples were collected, along with temperature, pressure, and hydraulic conductivity measurements, 420 m below ground surface, within a 535 m long, angled borehole at High Lake, Nunavut, Canada, in an area with 460-m-thick permafrost. Piezometric head was well above the base of the permafrost, near land surface. Initial water samples were contaminated with drill fluid, with later samples <40% drill fluid. The salinity of the non-drill fluid component was <20,000 mg/L, had a Ca/Na ratio above 1, with ??18O values ???5??? lower than the local surface water. The fluid isotopic composition was affected by the permafrost-formation process. Nonbacteriogenic CH4 was present and the sample location was within methane hydrate stability field. Sampling lines froze before uncontaminated samples from the subpermafrost environment could be obtained, yet the available time to obtain water samples was extended compared to previous studies. Temperature measurements collected from a distributed temperature sensor indicated that this issue can be overcome easily in the future. The lack of methanogenic CH4 is consistent with the high sulfate concentrations observed in cores. The combined surface-drilled borehole/U-tube approach can provide a large amount of physical, chemical, and microbial data from the subpermafrost environment with few, controllable, sources of contamination. ?? 2010 The Author(s). Journal compilation ?? 2010 National Ground Water Association.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Ground Water","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1111/j.1745-6584.2010.00724.x","issn":"0017467X","usgsCitation":"Stotler, R., Frape, S., Freifeld, B., Holden, B., Onstott, T., Ruskeeniemi, T., and Chan, E., 2011, Hydrogeology, Chemical and Microbial Activity Measurement Through Deep Permafrost: Ground Water, v. 49, no. 3, p. 348-364, https://doi.org/10.1111/j.1745-6584.2010.00724.x.","startPage":"348","endPage":"364","numberOfPages":"17","costCenters":[],"links":[{"id":475385,"rank":10000,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://digital.library.unt.edu/ark:/67531/metadc1012713/","text":"External Repository"},{"id":214476,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1111/j.1745-6584.2010.00724.x"},{"id":242204,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"49","issue":"3","noUsgsAuthors":false,"publicationDate":"2011-04-25","publicationStatus":"PW","scienceBaseUri":"505a34d9e4b0c8380cd5fa98","contributors":{"authors":[{"text":"Stotler, R.L.","contributorId":39596,"corporation":false,"usgs":true,"family":"Stotler","given":"R.L.","email":"","affiliations":[],"preferred":false,"id":442810,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Frape, S.K.","contributorId":105335,"corporation":false,"usgs":true,"family":"Frape","given":"S.K.","affiliations":[],"preferred":false,"id":442813,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Freifeld, B.M.","contributorId":21753,"corporation":false,"usgs":true,"family":"Freifeld","given":"B.M.","email":"","affiliations":[],"preferred":false,"id":442808,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Holden, B.","contributorId":51554,"corporation":false,"usgs":true,"family":"Holden","given":"B.","email":"","affiliations":[],"preferred":false,"id":442812,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Onstott, T.C.","contributorId":47006,"corporation":false,"usgs":true,"family":"Onstott","given":"T.C.","affiliations":[],"preferred":false,"id":442811,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Ruskeeniemi, T.","contributorId":18190,"corporation":false,"usgs":true,"family":"Ruskeeniemi","given":"T.","email":"","affiliations":[],"preferred":false,"id":442807,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Chan, E.","contributorId":31999,"corporation":false,"usgs":true,"family":"Chan","given":"E.","email":"","affiliations":[],"preferred":false,"id":442809,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70033843,"text":"70033843 - 2011 - An enhanced TIMESAT algorithm for estimating vegetation phenology metrics from MODIS data","interactions":[],"lastModifiedDate":"2012-03-12T17:21:30","indexId":"70033843","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"An enhanced TIMESAT algorithm for estimating vegetation phenology metrics from MODIS data","docAbstract":"An enhanced TIMESAT algorithm was developed for retrieving vegetation phenology metrics from 250 m and 500 m spatial resolution Moderate Resolution Imaging Spectroradiometer (MODIS) vegetation indexes (VI) over North America. MODIS VI data were pre-processed using snow-cover and land surface temperature data, and temporally smoothed with the enhanced TIMESAT algorithm. An objective third derivative test was applied to define key phenology dates and retrieve a set of phenology metrics. This algorithm has been applied to two MODIS VIs: Normalized Difference Vegetation Index (NDVI) and Enhanced Vegetation Index (EVI). In this paper, we describe the algorithm and use EVI as an example to compare three sets of TIMESAT algorithm/MODIS VI combinations: a) original TIMESAT algorithm with original MODIS VI, b) original TIMESAT algorithm with pre-processed MODIS VI, and c) enhanced TIMESAT and pre-processed MODIS VI. All retrievals were compared with ground phenology observations, some made available through the National Phenology Network. Our results show that for MODIS data in middle to high latitude regions, snow and land surface temperature information is critical in retrieving phenology metrics from satellite observations. The results also show that the enhanced TIMESAT algorithm can better accommodate growing season start and end dates that vary significantly from year to year. The TIMESAT algorithm improvements contribute to more spatial coverage and more accurate retrievals of the phenology metrics. Among three sets of TIMESAT/MODIS VI combinations, the start of the growing season metric predicted by the enhanced TIMESAT algorithm using pre-processed MODIS VIs has the best associations with ground observed vegetation greenup dates. ?? 2010 IEEE.","largerWorkTitle":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","language":"English","doi":"10.1109/JSTARS.2010.2075916","usgsCitation":"Tan, B., Morisette, J., Wolfe, R., Gao, F., Ederer, G., Nightingale, J., and Pedelty, J., 2011, An enhanced TIMESAT algorithm for estimating vegetation phenology metrics from MODIS data, in IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, v. 4, no. 2, p. 361-371, https://doi.org/10.1109/JSTARS.2010.2075916.","startPage":"361","endPage":"371","numberOfPages":"11","costCenters":[],"links":[{"id":214475,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1109/JSTARS.2010.2075916"},{"id":242203,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"4","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5059ea3be4b0c8380cd4870a","contributors":{"authors":[{"text":"Tan, B.","contributorId":32742,"corporation":false,"usgs":true,"family":"Tan","given":"B.","email":"","affiliations":[],"preferred":false,"id":442801,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Morisette, J.T.","contributorId":57029,"corporation":false,"usgs":true,"family":"Morisette","given":"J.T.","email":"","affiliations":[],"preferred":false,"id":442803,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wolfe, R.E.","contributorId":98073,"corporation":false,"usgs":true,"family":"Wolfe","given":"R.E.","email":"","affiliations":[],"preferred":false,"id":442806,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gao, F.","contributorId":60575,"corporation":false,"usgs":true,"family":"Gao","given":"F.","email":"","affiliations":[],"preferred":false,"id":442804,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Ederer, G.A.","contributorId":75346,"corporation":false,"usgs":true,"family":"Ederer","given":"G.A.","email":"","affiliations":[],"preferred":false,"id":442805,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Nightingale, J.","contributorId":29656,"corporation":false,"usgs":true,"family":"Nightingale","given":"J.","email":"","affiliations":[],"preferred":false,"id":442800,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Pedelty, J.A.","contributorId":41788,"corporation":false,"usgs":true,"family":"Pedelty","given":"J.A.","affiliations":[],"preferred":false,"id":442802,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70033828,"text":"70033828 - 2011 - The influence of stream channels on distributions of Larrea tridentata and Ambrosia dumosa in the Mojave Desert, CA, USA: Patterns, mechanisms and effects of stream redistribution","interactions":[],"lastModifiedDate":"2017-11-20T12:32:57","indexId":"70033828","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1447,"text":"Ecohydrology","active":true,"publicationSubtype":{"id":10}},"title":"The influence of stream channels on distributions of Larrea tridentata and Ambrosia dumosa in the Mojave Desert, CA, USA: Patterns, mechanisms and effects of stream redistribution","docAbstract":"Drainage channels are among the most conspicuous surficial features of deserts, but little quantitative analysis of their influence on plant distributions is available. We analysed the effects of desert stream channels (‘washes’) on Larrea tridentata and Ambrosia dumosa density and cover on an alluvial piedmont in the Mojave Desert, based on a spatial analysis of transect data encompassing a total length of 2775 m surveyed in 5 cm increments. Significant deviations from average transect properties were identified by bootstrapping. Predictably, shrub cover and density were much reduced inside washes, and elevated above average levels adjacent to washes. Average Larrea and Ambrosia cover and density peaked 1·2–1·6 m and 0·5–1·0 m from wash edges, respectively. We compared wash effects in runon-depleted (−R) sections, where washes had been cut off from runon and were presumably inactive, with those in runon-supplemented (+R) sections downslope from railroad culverts to help identify mechanisms responsible for the facilitative effect of washes on adjacent shrubs. Shrub cover and density near washes peaked in both + R and − R sections, suggesting that improved water infiltration and storage alone can cause a facilitative effect on adjacent shrubs. However, washes of < 2 m width in + R sections had larger than average effects on peak cover, suggesting that plants also benefit from occasional resource supplementation. The data suggest that channel networks significantly contribute to structuring plant communities in the Mojave Desert and their disruption has notable effects on geomorphic and ecological processes far beyond the original disturbance sites.
","language":"English","publisher":"Wiley","doi":"10.1002/eco.116","issn":"19360584","usgsCitation":"Schwinning, S., Sandquist, D., Miller, D., Bedford, D.R., Phillips, S.L., and Belnap, J., 2011, The influence of stream channels on distributions of Larrea tridentata and Ambrosia dumosa in the Mojave Desert, CA, USA: Patterns, mechanisms and effects of stream redistribution: Ecohydrology, v. 4, no. 1, p. 12-25, https://doi.org/10.1002/eco.116.","productDescription":"14 p.","startPage":"12","endPage":"25","numberOfPages":"14","ipdsId":"IP-019949","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true},{"id":309,"text":"Geology and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":241968,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":214263,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1002/eco.116"}],"country":"United States","state":"California","otherGeospatial":"Mojave Desert","volume":"4","issue":"1","noUsgsAuthors":false,"publicationDate":"2011-01-19","publicationStatus":"PW","scienceBaseUri":"505bad38e4b08c986b323a7b","contributors":{"authors":[{"text":"Schwinning, S.","contributorId":41207,"corporation":false,"usgs":true,"family":"Schwinning","given":"S.","email":"","affiliations":[],"preferred":false,"id":442729,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sandquist, D.R.","contributorId":37281,"corporation":false,"usgs":true,"family":"Sandquist","given":"D.R.","email":"","affiliations":[],"preferred":false,"id":442728,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Miller, D. M. 0000-0003-3711-0441","orcid":"https://orcid.org/0000-0003-3711-0441","contributorId":104422,"corporation":false,"usgs":true,"family":"Miller","given":"D. M.","affiliations":[],"preferred":false,"id":442731,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bedford, D. R.","contributorId":9734,"corporation":false,"usgs":true,"family":"Bedford","given":"D.","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":442726,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Phillips, S. L.","contributorId":94460,"corporation":false,"usgs":true,"family":"Phillips","given":"S.","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":442730,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Belnap, J. 0000-0001-7471-2279","orcid":"https://orcid.org/0000-0001-7471-2279","contributorId":23872,"corporation":false,"usgs":true,"family":"Belnap","given":"J.","affiliations":[],"preferred":false,"id":442727,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70033820,"text":"70033820 - 2011 - Millennial precipitation reconstruction for the Jemez Mountains, New Mexico, reveals changing drought signal","interactions":[],"lastModifiedDate":"2018-04-03T11:24:17","indexId":"70033820","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2032,"text":"International Journal of Climatology","active":true,"publicationSubtype":{"id":10}},"title":"Millennial precipitation reconstruction for the Jemez Mountains, New Mexico, reveals changing drought signal","docAbstract":"Drought is a recurring phenomenon in the American Southwest. Since the frequency and severity of hydrologic droughts and other hydroclimatic events are of critical importance to the ecology and rapidly growing human population of this region, knowledge of long-term natural hydroclimatic variability is valuable for resource managers and policy-makers. An October–June precipitation reconstruction for the period AD 824–2007 was developed from multi-century tree-ring records of Pseudotsuga menziesii (Douglas-fir), Pinus strobiformis (Southwestern white pine) and Pinus ponderosa (Ponderosa pine) for the Jemez Mountains in Northern New Mexico. Calibration and verification statistics for the period 1896–2007 show a high level of skill, and account for a significant portion of the observed variance (>50%) irrespective of which period is used to develop or verify the regression model. Split-sample validation supports our use of a reconstruction model based on the full period of reliable observational data (1896–2007). A recent segment of the reconstruction (2000–2006) emerges as the driest 7-year period sensed by the trees in the entire record. That this period was only moderately dry in precipitation anomaly likely indicates accentuated stress from other factors, such as warmer temperatures. Correlation field maps of actual and reconstructed October–June total precipitation, sea surface temperatures and 500-mb geopotential heights show characteristics that are similar to those indicative of El Niño–Southern Oscillation patterns, particularly with regard to ocean and atmospheric conditions in the equatorial and north Pacific. Our 1184-year reconstruction of hydroclimatic variability provides long-term perspective on current and 20th century wet and dry events in Northern New Mexico, is useful to guide expectations of future variability, aids sustainable water management, provides scenarios for drought planning and as inputs for hydrologic models under a broader range of conditions than those provided by historical climate records.
","language":"English","publisher":"Wiley","doi":"10.1002/joc.2117","usgsCitation":"Touchan, R., Woodhouse, C.A., Meko, D.M., and Allen, C.D., 2011, Millennial precipitation reconstruction for the Jemez Mountains, New Mexico, reveals changing drought signal: International Journal of Climatology, v. 31, no. 6, p. 896-906, https://doi.org/10.1002/joc.2117.","productDescription":"11 p.","startPage":"896","endPage":"906","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":241842,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"New Mexico","otherGeospatial":"Jemez Mounains","volume":"31","issue":"6","noUsgsAuthors":false,"publicationDate":"2011-04-15","publicationStatus":"PW","scienceBaseUri":"505a572ee4b0c8380cd6daec","contributors":{"authors":[{"text":"Touchan, Ramzi","contributorId":77863,"corporation":false,"usgs":true,"family":"Touchan","given":"Ramzi","affiliations":[],"preferred":false,"id":442695,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Woodhouse, Connie A.","contributorId":187601,"corporation":false,"usgs":false,"family":"Woodhouse","given":"Connie","email":"","middleInitial":"A.","affiliations":[{"id":32413,"text":"University of Arizona, Tucson, AZ, USA, 85721","active":true,"usgs":false}],"preferred":false,"id":442697,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Meko, David M.","contributorId":145887,"corporation":false,"usgs":false,"family":"Meko","given":"David","email":"","middleInitial":"M.","affiliations":[{"id":6624,"text":"University of Arizona, Laboratory of Tree-Ring Research","active":true,"usgs":false}],"preferred":false,"id":442696,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"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":291,"text":"Fort Collins Science Center","active":true,"usgs":true},{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":442694,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70033815,"text":"70033815 - 2011 - GSD-1G and MPI-DING Reference Glasses for In Situ and Bulk Isotopic Determination","interactions":[],"lastModifiedDate":"2012-03-12T17:21:30","indexId":"70033815","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1822,"text":"Geostandards and Geoanalytical Research","active":true,"publicationSubtype":{"id":10}},"title":"GSD-1G and MPI-DING Reference Glasses for In Situ and Bulk Isotopic Determination","docAbstract":"This paper contains the results of an extensive isotopic study of United States Geological Survey GSD-1G and MPI-DING reference glasses. Thirteen different laboratories were involved using high-precision bulk (TIMS, MC-ICP-MS) and microanalytical (LA-MC-ICP-MS, LA-ICP-MS) techniques. Detailed studies were performed to demonstrate the large-scale and small-scale homogeneity of the reference glasses. Together with previously published isotopic data from ten other laboratories, preliminary reference and information values as well as their uncertainties at the 95% confidence level were determined for H, O, Li, B, Si, Ca, Sr, Nd, Hf, Pb, Th and U isotopes using the recommendations of the International Association of Geoanalysts for certification of reference materials. Our results indicate that GSD-1G and the MPI-DING glasses are suitable reference materials for microanalytical and bulk analytical purposes. Ce document contient les r??sultats d'une importante ??tude isotopique des verres de r??f??rence USGS GSD-1G et MPI-DING. Treize laboratoires diff??rents ont particip?? au travers de techniques analytiques de haute pr??cision travaillant soit sur ??chantillon total (TIMS, MC-ICP-MS) soit par microanalyse ??in situ?? (LA-MC-ICP-MS, LA-ICP-MS). ?? 2010 The Authors. Geostandards and Geoanalytical Research ?? 2010 International Association of Geoanalysts.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Geostandards and Geoanalytical Research","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1111/j.1751-908X.2010.00114.x","issn":"16394488","usgsCitation":"Jochum, K., Wilson, S., Abouchami, W., Amini, M., Chmeleff, J., Eisenhauer, A., Hegner, E., Iaccheri, L., Kieffer, B., Krause, J., McDonough, W., Mertz-Kraus, R., Raczek, I., Rudnick, R., Scholz, D.K., Steinhoefel, G., Stoll, B., Stracke, A., Tonarini, S., Weis, D., Weis, U., and Woodhead, J., 2011, GSD-1G and MPI-DING Reference Glasses for In Situ and Bulk Isotopic Determination: Geostandards and Geoanalytical Research, v. 35, no. 2, p. 193-226, https://doi.org/10.1111/j.1751-908X.2010.00114.x.","startPage":"193","endPage":"226","numberOfPages":"34","costCenters":[],"links":[{"id":214531,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1111/j.1751-908X.2010.00114.x"},{"id":242266,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"35","issue":"2","noUsgsAuthors":false,"publicationDate":"2010-12-09","publicationStatus":"PW","scienceBaseUri":"505a1486e4b0c8380cd54a91","contributors":{"authors":[{"text":"Jochum, K.P.","contributorId":35139,"corporation":false,"usgs":true,"family":"Jochum","given":"K.P.","email":"","affiliations":[],"preferred":false,"id":442659,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wilson, S. A. 0000-0002-9468-0005","orcid":"https://orcid.org/0000-0002-9468-0005","contributorId":23561,"corporation":false,"usgs":true,"family":"Wilson","given":"S. A.","affiliations":[],"preferred":false,"id":442657,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Abouchami, W.","contributorId":103886,"corporation":false,"usgs":true,"family":"Abouchami","given":"W.","email":"","affiliations":[],"preferred":false,"id":442672,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Amini, M.","contributorId":6673,"corporation":false,"usgs":true,"family":"Amini","given":"M.","email":"","affiliations":[],"preferred":false,"id":442653,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Chmeleff, J.","contributorId":89733,"corporation":false,"usgs":true,"family":"Chmeleff","given":"J.","email":"","affiliations":[],"preferred":false,"id":442668,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Eisenhauer, A.","contributorId":101099,"corporation":false,"usgs":true,"family":"Eisenhauer","given":"A.","email":"","affiliations":[],"preferred":false,"id":442671,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Hegner, E.","contributorId":32304,"corporation":false,"usgs":true,"family":"Hegner","given":"E.","affiliations":[],"preferred":false,"id":442658,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Iaccheri, L.M.","contributorId":39209,"corporation":false,"usgs":true,"family":"Iaccheri","given":"L.M.","email":"","affiliations":[],"preferred":false,"id":442661,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Kieffer, B.","contributorId":71781,"corporation":false,"usgs":true,"family":"Kieffer","given":"B.","email":"","affiliations":[],"preferred":false,"id":442666,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Krause, J.","contributorId":56874,"corporation":false,"usgs":true,"family":"Krause","given":"J.","email":"","affiliations":[],"preferred":false,"id":442663,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"McDonough, W.F.","contributorId":97314,"corporation":false,"usgs":true,"family":"McDonough","given":"W.F.","email":"","affiliations":[],"preferred":false,"id":442670,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Mertz-Kraus, R.","contributorId":15024,"corporation":false,"usgs":true,"family":"Mertz-Kraus","given":"R.","email":"","affiliations":[],"preferred":false,"id":442655,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Raczek, I.","contributorId":83751,"corporation":false,"usgs":true,"family":"Raczek","given":"I.","email":"","affiliations":[],"preferred":false,"id":442667,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Rudnick, R.L.","contributorId":90122,"corporation":false,"usgs":true,"family":"Rudnick","given":"R.L.","email":"","affiliations":[],"preferred":false,"id":442669,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Scholz, Donna K.","contributorId":105135,"corporation":false,"usgs":true,"family":"Scholz","given":"Donna","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":442673,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Steinhoefel, G.","contributorId":54421,"corporation":false,"usgs":true,"family":"Steinhoefel","given":"G.","email":"","affiliations":[],"preferred":false,"id":442662,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Stoll, B.","contributorId":7926,"corporation":false,"usgs":true,"family":"Stoll","given":"B.","email":"","affiliations":[],"preferred":false,"id":442654,"contributorType":{"id":1,"text":"Authors"},"rank":17},{"text":"Stracke, A.","contributorId":108326,"corporation":false,"usgs":true,"family":"Stracke","given":"A.","affiliations":[],"preferred":false,"id":442674,"contributorType":{"id":1,"text":"Authors"},"rank":18},{"text":"Tonarini, S.","contributorId":38790,"corporation":false,"usgs":true,"family":"Tonarini","given":"S.","email":"","affiliations":[],"preferred":false,"id":442660,"contributorType":{"id":1,"text":"Authors"},"rank":19},{"text":"Weis, D.","contributorId":62035,"corporation":false,"usgs":true,"family":"Weis","given":"D.","affiliations":[],"preferred":false,"id":442664,"contributorType":{"id":1,"text":"Authors"},"rank":20},{"text":"Weis, U.","contributorId":15025,"corporation":false,"usgs":true,"family":"Weis","given":"U.","email":"","affiliations":[],"preferred":false,"id":442656,"contributorType":{"id":1,"text":"Authors"},"rank":21},{"text":"Woodhead, J.D.","contributorId":70608,"corporation":false,"usgs":true,"family":"Woodhead","given":"J.D.","affiliations":[],"preferred":false,"id":442665,"contributorType":{"id":1,"text":"Authors"},"rank":22}]}} ,{"id":70033790,"text":"70033790 - 2011 - Diel activity of Gulf of Mexico sturgeon in a northwest Florida bay","interactions":[],"lastModifiedDate":"2012-03-12T17:21:32","indexId":"70033790","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2166,"text":"Journal of Applied Ichthyology","active":true,"publicationSubtype":{"id":10}},"title":"Diel activity of Gulf of Mexico sturgeon in a northwest Florida bay","docAbstract":"In this paper, we assess patterns in activity of Gulf of Mexico sturgeon Acipenser oxyrinchus desotoi over a 24-h period in the Pensacola bay system, Florida. Although seasonal migration of sturgeon is well documented, little information is available pertaining to daily variation in activity. We surgically implanted 58 Gulf sturgeon with acoustic transmitters in the Escambia (n=26), Yellow (n=8), Blackwater (n=12) and Choctawhatchee rivers (n=12) in June, July, September and October 2005. Gulf sturgeon location was monitored using an array of 56 fixed-station acoustic receivers. The relationship between frequency of Gulf sturgeon observations recorded on all acoustic receivers and time of day for all seasons combined indicated a strong diel activity pattern. Gulf sturgeon were frequently detected at night in all seasons with the exception of summer. Consecutive hourly observations indicated lateral movement of Gulf sturgeon between independent acoustic receivers on 15% of all observations of individuals. The use of an acoustic receiver array not only provides continuous data within a defined area, but also provides insight into nocturnal behavior of Gulf sturgeon not previously identified. ?? 2011 Blackwell Verlag, Berlin.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Applied Ichthyology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1111/j.1439-0426.2010.01641.x","issn":"01758659","usgsCitation":"Wrege, B., Duncan, M., and Isely, J.J., 2011, Diel activity of Gulf of Mexico sturgeon in a northwest Florida bay: Journal of Applied Ichthyology, v. 27, no. 2, p. 322-326, https://doi.org/10.1111/j.1439-0426.2010.01641.x.","startPage":"322","endPage":"326","numberOfPages":"5","costCenters":[],"links":[{"id":214113,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1111/j.1439-0426.2010.01641.x"},{"id":241804,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"27","issue":"2","noUsgsAuthors":false,"publicationDate":"2011-03-28","publicationStatus":"PW","scienceBaseUri":"505a00bce4b0c8380cd4f8b1","contributors":{"authors":[{"text":"Wrege, B.M.","contributorId":100405,"corporation":false,"usgs":true,"family":"Wrege","given":"B.M.","affiliations":[],"preferred":false,"id":442492,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Duncan, M.S.","contributorId":99750,"corporation":false,"usgs":true,"family":"Duncan","given":"M.S.","email":"","affiliations":[],"preferred":false,"id":442491,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Isely, J. Jeffery","contributorId":97224,"corporation":false,"usgs":true,"family":"Isely","given":"J.","email":"","middleInitial":"Jeffery","affiliations":[],"preferred":false,"id":442490,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70033789,"text":"70033789 - 2011 - Decision analysis for conservation breeding: Maximizing production for reintroduction of whooping cranes","interactions":[],"lastModifiedDate":"2018-02-06T12:43:40","indexId":"70033789","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2508,"text":"Journal of Wildlife Management","active":true,"publicationSubtype":{"id":10}},"title":"Decision analysis for conservation breeding: Maximizing production for reintroduction of whooping cranes","docAbstract":"Captive breeding is key to management of severely endangered species, but maximizing captive production can be challenging because of poor knowledge of species breeding biology and the complexity of evaluating different management options. In the face of uncertainty and complexity, decision-analytic approaches can be used to identify optimal management options for maximizing captive production. Building decision-analytic models requires iterations of model conception, data analysis, model building and evaluation, identification of remaining uncertainty, further research and monitoring to reduce uncertainty, and integration of new data into the model. We initiated such a process to maximize captive production of the whooping crane (Grus americana), the world's most endangered crane, which is managed through captive breeding and reintroduction. We collected 15 years of captive breeding data from 3 institutions and used Bayesian analysis and model selection to identify predictors of whooping crane hatching success. The strongest predictor, and that with clear management relevance, was incubation environment. The incubation period of whooping crane eggs is split across two environments: crane nests and artificial incubators. Although artificial incubators are useful for allowing breeding pairs to produce multiple clutches, our results indicate that crane incubation is most effective at promoting hatching success. Hatching probability increased the longer an egg spent in a crane nest, from 40% hatching probability for eggs receiving 1 day of crane incubation to 95% for those receiving 30 days (time incubated in each environment varied independently of total incubation period). Because birds will lay fewer eggs when they are incubating longer, a tradeoff exists between the number of clutches produced and egg hatching probability. We developed a decision-analytic model that estimated 16 to be the optimal number of days of crane incubation needed to maximize the number of offspring produced. These results show that using decision-analytic tools to account for uncertainty in captive breeding can improve the rate at which such programs contribute to wildlife reintroductions.
","language":"English","publisher":"The Wildlife Society","doi":"10.1002/jwmg.88","issn":"0022541X","usgsCitation":"Smith, D., Converse, S.J., Gibson, K., Moehrenschlager, A., Link, W., Olsen, G.H., and Maguire, K., 2011, Decision analysis for conservation breeding: Maximizing production for reintroduction of whooping cranes: Journal of Wildlife Management, v. 75, no. 3, p. 501-508, https://doi.org/10.1002/jwmg.88.","productDescription":"8 p.","startPage":"501","endPage":"508","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":241803,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":214112,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1002/jwmg.88"}],"volume":"75","issue":"3","noUsgsAuthors":false,"publicationDate":"2011-05-11","publicationStatus":"PW","scienceBaseUri":"5059fe05e4b0c8380cd4ea91","contributors":{"authors":[{"text":"Smith, Des","contributorId":98163,"corporation":false,"usgs":true,"family":"Smith","given":"Des","email":"","affiliations":[],"preferred":false,"id":442489,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"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":442485,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gibson, Keith","contributorId":65320,"corporation":false,"usgs":true,"family":"Gibson","given":"Keith","email":"","affiliations":[],"preferred":false,"id":442487,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Moehrenschlager, Axel","contributorId":32770,"corporation":false,"usgs":true,"family":"Moehrenschlager","given":"Axel","email":"","affiliations":[],"preferred":false,"id":442484,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Link, William A. wlink@usgs.gov","contributorId":145491,"corporation":false,"usgs":true,"family":"Link","given":"William A.","email":"wlink@usgs.gov","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":false,"id":442483,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Olsen, Glenn H. 0000-0002-7188-6203 golsen@usgs.gov","orcid":"https://orcid.org/0000-0002-7188-6203","contributorId":40918,"corporation":false,"usgs":true,"family":"Olsen","given":"Glenn","email":"golsen@usgs.gov","middleInitial":"H.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":false,"id":442486,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Maguire, Kelly","contributorId":173722,"corporation":false,"usgs":false,"family":"Maguire","given":"Kelly","email":"","affiliations":[],"preferred":false,"id":442488,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70033787,"text":"70033787 - 2011 - Lithosphere-asthenosphere interaction beneath the western United States from the joint inversion of body-wave traveltimes and surface-wave phase velocities","interactions":[],"lastModifiedDate":"2012-03-12T17:21:25","indexId":"70033787","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1803,"text":"Geophysical Journal International","active":true,"publicationSubtype":{"id":10}},"title":"Lithosphere-asthenosphere interaction beneath the western United States from the joint inversion of body-wave traveltimes and surface-wave phase velocities","docAbstract":"The relation between the complex geological history of the western margin of the North American plate and the processes in the mantle is still not fully documented and understood. Several pre-USArray local seismic studies showed how the characteristics of key geological features such as the Colorado Plateau and the Yellowstone Snake River Plains are linked to their deep mantle structure. Recent body-wave models based on the deployment of the high density, large aperture USArray have provided far more details on the mantle structure while surface-wave tomography (ballistic waves and noise correlations) informs us on the shallow structure. Here we combine constraints from these two data sets to image and study the link between the geology of the western United States, the shallow structure of the Earth and the convective processes in mantle. Our multiphase DNA10-S model provides new constraints on the extent of the Archean lithosphere imaged as a large, deeply rooted fast body that encompasses the stable Great Plains and a large portion of the Northern and Central Rocky Mountains. Widespread slow anomalies are found in the lower crust and upper mantle, suggesting that low-density rocks isostatically sustain part of the high topography of the western United States. The Yellowstone anomaly is imaged as a large slow body rising from the lower mantle, intruding the overlying lithosphere and controlling locally the seismicity and the topography. The large E-W extent of the USArray used in this study allows imaging the 'slab graveyard', a sequence of Farallon fragments aligned with the currently subducting Juan de Fuca Slab, north of the Mendocino Triple Junction. The lithospheric root of the Colorado Plateau has apparently been weakened and partly removed through dripping. The distribution of the slower regions around the Colorado Plateau and other rigid blocks follows closely the trend of Cenozoic volcanic fields and ancient lithospheric sutures, suggesting that the later exert a control on the locus of magmato-tectonic activity today. The DNA velocity models are available for download and slicing at http://dna.berkeley.edu. ?? 2011 The Authors Geophysical Journal International ?? 2011 RAS.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Geophysical Journal International","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1111/j.1365-246X.2011.04990.x","issn":"0956540X","usgsCitation":"Obrebski, M., Allen, R.M., Pollitz, F., and Hung, S., 2011, Lithosphere-asthenosphere interaction beneath the western United States from the joint inversion of body-wave traveltimes and surface-wave phase velocities: Geophysical Journal International, v. 185, no. 2, p. 1003-1021, https://doi.org/10.1111/j.1365-246X.2011.04990.x.","startPage":"1003","endPage":"1021","numberOfPages":"19","costCenters":[],"links":[{"id":475379,"rank":10000,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/j.1365-246x.2011.04990.x","text":"Publisher Index Page"},{"id":214563,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1111/j.1365-246X.2011.04990.x"},{"id":242298,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"185","issue":"2","noUsgsAuthors":false,"publicationDate":"2011-03-25","publicationStatus":"PW","scienceBaseUri":"505a4892e4b0c8380cd67f6b","contributors":{"authors":[{"text":"Obrebski, M.","contributorId":58853,"corporation":false,"usgs":true,"family":"Obrebski","given":"M.","email":"","affiliations":[],"preferred":false,"id":442472,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Allen, R. M.","contributorId":36170,"corporation":false,"usgs":false,"family":"Allen","given":"R.","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":442471,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Pollitz, F.","contributorId":66449,"corporation":false,"usgs":true,"family":"Pollitz","given":"F.","affiliations":[],"preferred":false,"id":442474,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hung, S.-H.","contributorId":59261,"corporation":false,"usgs":true,"family":"Hung","given":"S.-H.","email":"","affiliations":[],"preferred":false,"id":442473,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ]}