{"pageNumber":"785","pageRowStart":"19600","pageSize":"25","recordCount":40764,"records":[{"id":70038687,"text":"70038687 - 2010 - The need for simultaneous evaluation of ecosystem services and land use change","interactions":[],"lastModifiedDate":"2017-10-20T10:34:09","indexId":"70038687","displayToPublicDate":"2012-06-18T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1565,"text":"Environmental Science & Technology","onlineIssn":"1520-5851","printIssn":"0013-936X","active":true,"publicationSubtype":{"id":10}},"title":"The need for simultaneous evaluation of ecosystem services and land use change","docAbstract":"We are living in a period of massive global change. This rate of change may be almost without precedent in geologic history (<i>1</i>). Even the most remote areas of the planet are influenced by human activities. Modern landscapes have been highly modified to accommodate a growing human population that the United Nations has forecast to peak at 9.1 billion by 2050. Over this past century, reliance on services from ecosystems has increased significantly and, over past decades, sustainability of our modern, intensively managed ecosystems has been a topic of serious international concern (<i>1</i>). Numerous papers addressing a particular land-use change effect on specific ecosystem services have recently been published. For example, there is currently great interest in increasing biofuel production to achieve energy inde- pendence goals and recent papers have independently focused attention on impacts of land-use change on single ecosystem services such as carbon sequestration (<i>2</i>) and many others (e.g., water availability, biodiversity, pollination). However, land-use change clearly affects myriad ecosystem services simultaneously. Hence, a broader perspective and context is needed to evaluate and understand interrelated affects on multiple ecosystem services, especially as we strive for the goal of sustainably managing global ecosystems. Similarly, land uses affect ecosystem services synergistically; single land-use evaluations may be misleading because the overall impact on an ecosystem is not evaluated. A more holistic approach would provide a means and framework to characterize how land-use change affects provisioning of goods and services of complete ecosystems.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Environmental Science and Technology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"ACS Publications","publisherLocation":"Washington, D.C.","doi":"10.1021/es102761c","usgsCitation":"Euliss, N.H., Smith, L., Liu, S., Feng, M., Mushet, D.M., Auch, R.F., and Loveland, T., 2010, The need for simultaneous evaluation of ecosystem services and land use change: Environmental Science & Technology, v. 44, no. 20, p. 7761-7763, https://doi.org/10.1021/es102761c.","productDescription":"3 p.","startPage":"7761","endPage":"7763","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true},{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":257922,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":257915,"rank":200,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1021/es102761c","linkFileType":{"id":5,"text":"html"}}],"volume":"44","issue":"20","noUsgsAuthors":false,"publicationDate":"2010-09-01","publicationStatus":"PW","scienceBaseUri":"505bae0ee4b08c986b323ede","contributors":{"authors":[{"text":"Euliss, Ned H. Jr. ceuliss@usgs.gov","contributorId":2916,"corporation":false,"usgs":true,"family":"Euliss","given":"Ned","suffix":"Jr.","email":"ceuliss@usgs.gov","middleInitial":"H.","affiliations":[],"preferred":false,"id":464703,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Smith, Loren M.","contributorId":88876,"corporation":false,"usgs":true,"family":"Smith","given":"Loren M.","affiliations":[],"preferred":false,"id":464706,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Liu, Shu-Guang sliu@usgs.gov","contributorId":984,"corporation":false,"usgs":true,"family":"Liu","given":"Shu-Guang","email":"sliu@usgs.gov","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":false,"id":464701,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Feng, Min","contributorId":75370,"corporation":false,"usgs":true,"family":"Feng","given":"Min","email":"","affiliations":[],"preferred":false,"id":464705,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Mushet, David M. 0000-0002-5910-2744 dmushet@usgs.gov","orcid":"https://orcid.org/0000-0002-5910-2744","contributorId":1299,"corporation":false,"usgs":true,"family":"Mushet","given":"David","email":"dmushet@usgs.gov","middleInitial":"M.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":464702,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Auch, Roger F. 0000-0002-5382-5044 auch@usgs.gov","orcid":"https://orcid.org/0000-0002-5382-5044","contributorId":667,"corporation":false,"usgs":true,"family":"Auch","given":"Roger","email":"auch@usgs.gov","middleInitial":"F.","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true},{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":true,"id":464700,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Loveland, Thomas R. 0000-0003-3114-6646 loveland@usgs.gov","orcid":"https://orcid.org/0000-0003-3114-6646","contributorId":3005,"corporation":false,"usgs":true,"family":"Loveland","given":"Thomas R.","email":"loveland@usgs.gov","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":false,"id":464704,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70038799,"text":"70038799 - 2010 - Factors associated with hunter success for ducks on state-owned lands in Illinois, USA","interactions":[],"lastModifiedDate":"2017-09-19T11:34:36","indexId":"70038799","displayToPublicDate":"2012-06-15T20:16:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3766,"text":"Wildlife Biology","active":true,"publicationSubtype":{"id":10}},"title":"Factors associated with hunter success for ducks on state-owned lands in Illinois, USA","docAbstract":"<p><span>Factors that influence hunter success for waterfowl are subject to varying levels of control by managers. The relative influence of these factors is poorly understood, but such information may be valuable to guide management actions intended to promote successful hunting and communicate management decisions to constituents. We used bag-check data to investigate factors influencing hunter success for mallards&nbsp;</span><i>Anas platyrhynchos</i><span><span>&nbsp;</span>and other dabbling ducks (tribe Anatini) during the period 1981-2000 and 2002 at Illinois public waterfowl areas. Competing models of hunter success for mallards and other dabbling ducks included a negative association with average low temperature during the duck season (uncontrollable by managers) and positive associations with estimates of local and continental duck abundance, factors which we considered partially controllable by managers. Although a certain proportion of variation in hunter success for ducks cannot be directly influenced by managers, we suggest that programs and management efforts, which promote larger continental duck populations (e.g. Conservation Reserve Program) and local duck abundance (e.g. provide quality wetland foraging habitats), may positively influence hunter success.</span></p>","language":"English","publisher":"Nordic Board for Wildlife Research","doi":"10.2981/09-071","usgsCitation":"Stafford, J.D., Pearse, A.T., Hine, C.S., Yetter, A.P., and Horath, M.M., 2010, Factors associated with hunter success for ducks on state-owned lands in Illinois, USA: Wildlife Biology, v. 16, no. 2, p. 113-122, https://doi.org/10.2981/09-071.","productDescription":"10 p.","startPage":"113","endPage":"122","costCenters":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":475484,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.2981/09-071","text":"Publisher Index Page"},{"id":257850,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Illinois","volume":"16","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a0eb3e4b0c8380cd5359a","contributors":{"authors":[{"text":"Stafford, Joshua D. jstafford@usgs.gov","contributorId":4267,"corporation":false,"usgs":true,"family":"Stafford","given":"Joshua","email":"jstafford@usgs.gov","middleInitial":"D.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":464960,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pearse, Aaron T. 0000-0002-6137-1556 apearse@usgs.gov","orcid":"https://orcid.org/0000-0002-6137-1556","contributorId":1772,"corporation":false,"usgs":true,"family":"Pearse","given":"Aaron","email":"apearse@usgs.gov","middleInitial":"T.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":464959,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hine, Christopher S.","contributorId":31251,"corporation":false,"usgs":true,"family":"Hine","given":"Christopher","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":464961,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Yetter, Aaron P.","contributorId":63665,"corporation":false,"usgs":true,"family":"Yetter","given":"Aaron","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":464962,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Horath, Michelle M.","contributorId":96141,"corporation":false,"usgs":true,"family":"Horath","given":"Michelle","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":464963,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70003577,"text":"70003577 - 2010 - Models for inference in dynamic metacommunity systems","interactions":[],"lastModifiedDate":"2021-01-13T16:41:32.653382","indexId":"70003577","displayToPublicDate":"2012-05-29T13:55:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1465,"text":"Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Models for inference in dynamic metacommunity systems","docAbstract":"<p><span>A variety of processes are thought to be involved in the formation and dynamics of species assemblages. For example, various metacommunity theories are based on differences in the relative contributions of dispersal of species among local communities and interactions of species within local communities. Interestingly, metacommunity theories continue to be advanced without much empirical validation. Part of the problem is that statistical models used to analyze typical survey data either fail to specify ecological processes with sufficient complexity or they fail to account for errors in detection of species during sampling. In this paper, we describe a statistical modeling framework for the analysis of metacommunity dynamics that is based on the idea of adopting a unified approach, multispecies occupancy modeling, for computing inferences about individual species, local communities of species, or the entire metacommunity of species. This approach accounts for errors in detection of species during sampling and also allows different metacommunity paradigms to be specified in terms of species‐ and location‐specific probabilities of occurrence, extinction, and colonization: all of which are estimable. In addition, this approach can be used to address inference problems that arise in conservation ecology, such as predicting temporal and spatial changes in biodiversity for use in making conservation decisions. To illustrate, we estimate changes in species composition associated with the species‐specific phenologies of flight patterns of butterflies in Switzerland for the purpose of estimating regional differences in biodiversity.</span></p>","language":"English","publisher":"Ecological Society of America","doi":"10.1890/09-1033.1","usgsCitation":"Dorazio, R.M., Kery, M., Royle, J., and Plattner, M., 2010, Models for inference in dynamic metacommunity systems: Ecology, v. 91, no. 8, p. 2466-2475, https://doi.org/10.1890/09-1033.1.","productDescription":"10 p.","startPage":"2466","endPage":"2475","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true},{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"links":[{"id":257293,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Switzerland","volume":"91","issue":"8","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a5c7be4b0c8380cd6fd26","contributors":{"authors":[{"text":"Dorazio, Robert M. 0000-0003-2663-0468 bob_dorazio@usgs.gov","orcid":"https://orcid.org/0000-0003-2663-0468","contributorId":1668,"corporation":false,"usgs":true,"family":"Dorazio","given":"Robert","email":"bob_dorazio@usgs.gov","middleInitial":"M.","affiliations":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"preferred":false,"id":347822,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kery, Marc","contributorId":38680,"corporation":false,"usgs":true,"family":"Kery","given":"Marc","affiliations":[],"preferred":false,"id":347824,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Royle, J. Andrew 0000-0003-3135-2167","orcid":"https://orcid.org/0000-0003-3135-2167","contributorId":80808,"corporation":false,"usgs":true,"family":"Royle","given":"J. Andrew","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":347825,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Plattner, Matthias","contributorId":38404,"corporation":false,"usgs":true,"family":"Plattner","given":"Matthias","email":"","affiliations":[],"preferred":false,"id":347823,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70007511,"text":"70007511 - 2010 - Microbial production of isotopically light iron(II) in a modern chemically precipitated sediment and implications for isotopic variations in ancient rocks","interactions":[],"lastModifiedDate":"2019-08-29T08:18:20","indexId":"70007511","displayToPublicDate":"2012-05-28T11:11:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1751,"text":"Geobiology","active":true,"publicationSubtype":{"id":10}},"title":"Microbial production of isotopically light iron(II) in a modern chemically precipitated sediment and implications for isotopic variations in ancient rocks","docAbstract":"The inventories and Fe isotope composition of aqueous Fe(II) and solid-phase Fe compounds were quantified in neutral-pH, chemically precipitated sediments downstream of the Iron Mountain acid mine drainage site in northern California, USA. The sediments contain high concentrations of amorphous Fe(III) oxyhydroxides [Fe(III)<sub>am</sub>] that allow dissimilatory iron reduction (DIR) to predominate over Fe&ndash;S interactions in Fe redox transformation, as indicated by the very low abundance of Cr(II)-extractable reduced inorganic sulfur compared with dilute HCl-extractable Fe. &delta;<sup>56</sup>Fe values for bulk HCl- and HF-extractable Fe were &#8776; 0. These near-zero bulk &delta;<sup>56</sup>Fe values, together with the very low abundance of dissolved Fe in the overlying water column, suggest that the pyrite Fe source had near-zero &delta;<sup>56</sup>Fe values, and that complete oxidation of Fe(II) took place prior to deposition of the Fe(III) oxide-rich sediment. Sediment core analyses and incubation experiments demonstrated the production of millimolar quantities of isotopically light (&delta;<sup>56</sup>Fe &#8776; -1.5 to -0.5&#137;) aqueous Fe(II) coupled to partial reduction of Fe(III)<sub>am</sub> by DIR. Trends in the Fe isotope composition of solid-associated Fe(II) and residual Fe(III)<sub>am</sub> are consistent with experiments with synthetic Fe(III) oxides, and collectively suggest an equilibrium Fe isotope fractionation between aqueous Fe(II) and Fe(III)<sub>am</sub> of approximately -2&#137;. These Fe(III) oxide-rich sediments provide a model for early diagenetic processes that are likely to have taken place in Archean and Paleoproterozoic marine sediments that served as precursors for banded iron formations. Our results suggest pathways whereby DIR could have led to the formation of large quantities of low-&delta;<sup>56</sup>Fe minerals during BIF genesis.","language":"English","publisher":"Blackwell Publishing","doi":"10.1111/j.1472-4669.2010.00237.x","usgsCitation":"Tangalos, G., Beard, B., Johnson, C., Alpers, C.N., Shelobolina, E., Xu, H., Konishi, H., and Roden, E.E., 2010, Microbial production of isotopically light iron(II) in a modern chemically precipitated sediment and implications for isotopic variations in ancient rocks: Geobiology, v. 8, no. 3, p. 197-208, https://doi.org/10.1111/j.1472-4669.2010.00237.x.","productDescription":"12 p.","startPage":"197","endPage":"208","costCenters":[{"id":154,"text":"California Water Science 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,{"id":70003696,"text":"70003696 - 2010 - Interfacing models of wildlife habitat and human development to predict the future distribution of puma habitat","interactions":[],"lastModifiedDate":"2012-06-01T01:01:40","indexId":"70003696","displayToPublicDate":"2012-05-23T10:33:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1475,"text":"Ecosphere","active":true,"publicationSubtype":{"id":10}},"title":"Interfacing models of wildlife habitat and human development to predict the future distribution of puma habitat","docAbstract":"The impact of human land uses on ecological systems typically differ relative to how extensively natural conditions are modified. Exurban development is intermediate-intensity residential development that often occurs in natural landscapes. Most species-habitat models do not evaluate the effects of such intermediate levels of human development and even fewer predict how future development patterns might affect the amount and configuration of habitat. We addressed these deficiencies by interfacing a habitat model with a spatially-explicit housing-density model to study the effect of human land uses on the habitat of pumas (<i>Puma concolor</i>) in southern California. We studied the response of pumas to natural and anthropogenic features within their home ranges and how mortality risk varied across a gradient of human development. We also used our housing-density model to estimate past and future housing densities and model the distribution of puma habitat in 1970, 2000, and 2030. The natural landscape for pumas in our study area consisted of riparian areas, oak woodlands, and open, conifer forests embedded in a chaparral matrix. Pumas rarely incorporated suburban or urban development into their home ranges, which is consistent with the hypothesis that the behavioral decisions of individuals can be collectively manifested as population-limiting factors at broader spatial scales. Pumas incorporated rural and exurban development into their home ranges, apparently perceiving these areas as modified, rather than non-habitat. Overall, pumas used exurban areas less than expected and showed a neutral response to rural areas. However, individual pumas that selected for or showed a neutral response to exurban areas had a higher risk of mortality than pumas that selected against exurban habitat. Exurban areas are likely hotspots for puma-human conflict in southern California. Approximately 10% of our study area will transform from exurban, rural, or undeveloped areas to suburban or urban by 2030, and 35% of suitable puma habitat on private land in 1970 will have been lost by 2030. These land-use changes will further isolate puma populations in southern California, but the ability to visualize these changes had provided a new tool for developing proactive conservation solutions.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Ecosphere","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Ecological Society of America","publisherLocation":"Ithaca, NY","doi":"10.1890/ES10-00005.1","usgsCitation":"Burdett, C.L., Crooks, K.R., Theobald, D.M., Wilson, K.R., Boydston, E.E., Lyren, L.A., Fisher, R.N., Vickers, T., Morrison, S.A., and Boyce, W.M., 2010, Interfacing models of wildlife habitat and human development to predict the future distribution of puma habitat: Ecosphere, v. 1, no. 1, https://doi.org/10.1890/ES10-00005.1.","startPage":"Article 4","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":475487,"rank":201,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1890/es10-00005.1","text":"Publisher Index Page"},{"id":257093,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":257082,"rank":200,"type":{"id":11,"text":"Document"},"url":"https://dx.doi.org/10.1890/ES10-00005.1","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"California","volume":"1","issue":"1","noUsgsAuthors":false,"publicationDate":"2010-07-31","publicationStatus":"PW","scienceBaseUri":"505a3cfae4b0c8380cd631d0","contributors":{"authors":[{"text":"Burdett, Christopher L.","contributorId":13086,"corporation":false,"usgs":true,"family":"Burdett","given":"Christopher","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":348382,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Crooks, Kevin R.","contributorId":51137,"corporation":false,"usgs":false,"family":"Crooks","given":"Kevin","email":"","middleInitial":"R.","affiliations":[{"id":6621,"text":"Colorado State University","active":true,"usgs":false}],"preferred":false,"id":348384,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Theobald, David M. 0000-0002-1271-9368","orcid":"https://orcid.org/0000-0002-1271-9368","contributorId":10271,"corporation":false,"usgs":false,"family":"Theobald","given":"David","email":"","middleInitial":"M.","affiliations":[{"id":13470,"text":"Conservation Science Partners","active":true,"usgs":false}],"preferred":true,"id":348381,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wilson, Kenneth R.","contributorId":29255,"corporation":false,"usgs":true,"family":"Wilson","given":"Kenneth","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":348383,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Boydston, Erin E. 0000-0002-8452-835X eboydston@usgs.gov","orcid":"https://orcid.org/0000-0002-8452-835X","contributorId":1705,"corporation":false,"usgs":true,"family":"Boydston","given":"Erin","email":"eboydston@usgs.gov","middleInitial":"E.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":348380,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Lyren, Lisa A.","contributorId":87407,"corporation":false,"usgs":true,"family":"Lyren","given":"Lisa","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":348388,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Fisher, Robert N. 0000-0002-2956-3240 rfisher@usgs.gov","orcid":"https://orcid.org/0000-0002-2956-3240","contributorId":1529,"corporation":false,"usgs":true,"family":"Fisher","given":"Robert","email":"rfisher@usgs.gov","middleInitial":"N.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":348379,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Vickers, T. Winston","contributorId":52822,"corporation":false,"usgs":true,"family":"Vickers","given":"T. Winston","affiliations":[],"preferred":false,"id":348385,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Morrison, Scott A.","contributorId":83780,"corporation":false,"usgs":false,"family":"Morrison","given":"Scott","email":"","middleInitial":"A.","affiliations":[{"id":7041,"text":"The Nature Conservancy","active":true,"usgs":false}],"preferred":false,"id":348387,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Boyce, Walter M.","contributorId":75671,"corporation":false,"usgs":true,"family":"Boyce","given":"Walter","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":348386,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}}
,{"id":70003306,"text":"70003306 - 2010 - Interacting parasites","interactions":[],"lastModifiedDate":"2021-05-24T16:04:16.116627","indexId":"70003306","displayToPublicDate":"2012-05-23T09:51:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3338,"text":"Science","active":true,"publicationSubtype":{"id":10}},"title":"Interacting parasites","docAbstract":"<p id=\"p-3\">Parasitism is the most popular life-style on Earth, and many vertebrates host more than one kind of parasite at a time. A common assumption is that parasite species rarely interact, because they often exploit different tissues in a host, and this use of discrete resources limits competition (<a id=\"xref-ref-1-1\" class=\"xref-bibr\" href=\"https://science.sciencemag.org/content/330/6001/187#ref-1\" data-mce-href=\"https://science.sciencemag.org/content/330/6001/187#ref-1\"><i>1</i></a>). On page<span>&nbsp;</span><a href=\"https://science.sciencemag.org/lookup/doi/10.1126/science.1190333\" data-mce-href=\"https://science.sciencemag.org/lookup/doi/10.1126/science.1190333\">243</a><span>&nbsp;</span>of this issue, however, Telfer<span>&nbsp;</span><i>et al.</i><span>&nbsp;</span>(<a id=\"xref-ref-2-1\" class=\"xref-bibr\" href=\"https://science.sciencemag.org/content/330/6001/187#ref-2\" data-mce-href=\"https://science.sciencemag.org/content/330/6001/187#ref-2\"><i>2</i></a>) provide a convincing case of a highly interactive parasite community in voles, and show how infection with one parasite can affect susceptibility to others. If some human parasites are equally interactive, our current, disease-by-disease approach to modeling and treating infectious diseases is inadequate (<a id=\"xref-ref-3-1\" class=\"xref-bibr\" href=\"https://science.sciencemag.org/content/330/6001/187#ref-3\" data-mce-href=\"https://science.sciencemag.org/content/330/6001/187#ref-3\"><i>3</i></a>).</p><p id=\"p-4\">Telfer<span>&nbsp;</span><i>et al.</i>'s study—which involved tracking infections of four different parasites by taking blood samples from nearly 6000 wild voles (<i>Microtus agrestis</i>) over 5 years—helps highlight our growing understanding of how parasites can interact in complex ways (see the figure). What are some of the take-home messages?</p>","language":"English","publisher":"American Association for the Advancement of Science","doi":"10.1126/science.1196915","usgsCitation":"Lafferty, K.D., 2010, Interacting parasites: Science, v. 330, no. 6001, p. 187-188, https://doi.org/10.1126/science.1196915.","productDescription":"2 p.","startPage":"187","endPage":"188","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":257070,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"330","issue":"6001","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a3ca7e4b0c8380cd62f08","contributors":{"authors":[{"text":"Lafferty, Kevin D. 0000-0001-7583-4593 klafferty@usgs.gov","orcid":"https://orcid.org/0000-0001-7583-4593","contributorId":1415,"corporation":false,"usgs":true,"family":"Lafferty","given":"Kevin","email":"klafferty@usgs.gov","middleInitial":"D.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":346845,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70003607,"text":"70003607 - 2010 - Experimental drought in a tropical rain forest increases soil carbon dioxide losses to the atmosphere","interactions":[],"lastModifiedDate":"2021-01-13T16:50:05.296009","indexId":"70003607","displayToPublicDate":"2012-05-21T08:17:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1465,"text":"Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Experimental drought in a tropical rain forest increases soil carbon dioxide losses to the atmosphere","docAbstract":"<p><span>Climate models predict precipitation changes for much of the humid tropics, yet few studies have investigated the potential consequences of drought on soil carbon (C) cycling in this important biome. In wet tropical forests, drought could stimulate soil respiration via overall reductions in soil anoxia, but previous research suggests that litter decomposition is positively correlated with high rainfall fluxes that move large quantities of dissolved organic matter (DOM) from the litter layer to the soil surface. Thus, reduced rainfall could also limit C delivery to the soil surface, reducing respiration rates. We conducted a throughfall manipulation experiment to investigate how 25% and 50% reductions in rainfall altered both C movement into soils and the effects of those DOM fluxes on soil respiration rates. In response to the experimental drought, soil respiration rates increased in both the −25% and −50% treatments. Throughfall fluxes were reduced by 26% and 55% in the −25% and −50% treatments, respectively. However, total DOM fluxes leached from the litter did not vary between treatments, because the concentrations of leached DOM reaching the soil surface increased in response to the simulated drought. Annual DOM concentrations averaged 7.7 ± 0.8, 11.2 ± 0.9, and 15.8 ± 1.2 mg C/L in the control, −25%, and −50% plots, respectively, and DOM concentrations were positively correlated with soil respiration rates. A laboratory incubation experiment confirmed the potential importance of DOM concentration on soil respiration rates, suggesting that this mechanism could contribute to the increase in CO</span><sub>2</sub><span>&nbsp;fluxes observed in the reduced rainfall plots. Across all plots, the data suggested that soil CO</span><sub>2</sub><span>&nbsp;fluxes were partially regulated by the magnitude and concentration of soluble C delivered to the soil, but also by soil moisture and soil oxygen availability. Together, our data suggest that declines in precipitation in tropical rain forests could drive higher CO</span><sub>2</sub><span>&nbsp;fluxes to the atmosphere both via increased soil O</span><sub>2</sub><span>&nbsp;availability and through responses to elevated DOM concentrations.</span></p>","language":"English","publisher":"Ecological Society of America","doi":"10.1890/09-1582.1","usgsCitation":"Cleveland, C.C., Wieder, W.R., Reed, S.C., and Townsend, A.R., 2010, Experimental drought in a tropical rain forest increases soil carbon dioxide losses to the atmosphere: Ecology, v. 91, no. 8, p. 2313-2323, https://doi.org/10.1890/09-1582.1.","productDescription":"11 p.","startPage":"2313","endPage":"2323","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":257006,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Costa Rica","otherGeospatial":"Golfo Dulce Forest Reserve","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -83.62398147583008,\n              8.708983332891666\n            ],\n            [\n              -83.60681533813477,\n              8.708983332891666\n            ],\n            [\n              -83.60681533813477,\n              8.72489069584028\n            ],\n            [\n              -83.62398147583008,\n              8.72489069584028\n            ],\n            [\n              -83.62398147583008,\n              8.708983332891666\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"91","issue":"8","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a0dc9e4b0c8380cd531bf","contributors":{"authors":[{"text":"Cleveland, Cory C.","contributorId":10264,"corporation":false,"usgs":true,"family":"Cleveland","given":"Cory","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":347930,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wieder, William R.","contributorId":75792,"corporation":false,"usgs":true,"family":"Wieder","given":"William","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":347932,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Reed, Sasha C. 0000-0002-8597-8619 screed@usgs.gov","orcid":"https://orcid.org/0000-0002-8597-8619","contributorId":462,"corporation":false,"usgs":true,"family":"Reed","given":"Sasha","email":"screed@usgs.gov","middleInitial":"C.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":347929,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Townsend, Alan R.","contributorId":62868,"corporation":false,"usgs":true,"family":"Townsend","given":"Alan","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":347931,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70042583,"text":"70042583 - 2010 - Characterizing 6 August 2007 Crandall Canyon mine collapse from ALOS PALSAR InSAR","interactions":[],"lastModifiedDate":"2017-04-05T16:39:37","indexId":"70042583","displayToPublicDate":"2012-05-14T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1799,"text":"Geomatics, Natural Hazards and Risk","active":true,"publicationSubtype":{"id":10}},"title":"Characterizing 6 August 2007 Crandall Canyon mine collapse from ALOS PALSAR InSAR","docAbstract":"We used ALOS InSAR images to study land surface deformation over the Crandall Canyon mine in Utah, which collapsed on 6 August 2007 and killed six miners. The collapse was registered as a ML 3.9 seismic event. An InSAR image spanning the time of the collapse shows 25–30 cm surface subsidence over the  mine. We used distributed dislocation sources to model the deformation field, and found that a collapse source model alone does not adequately fit the deformation\nfield. Normal faulting is also required, such that the event is best characterized as a ‘trapdoor’ collapse. The calculated moment of the normal fault is about the\nsame as the moment of the collapse source, with each larger than the seismically computed moment. Our InSAR results, including the location of the event, the extent of the collapsed area, and constraints on the shearing component of the deformation source, all confirm and extend recent seismic studies of the 6 August 2007 event.","language":"English","publisher":"Taylor & Francis","doi":"10.1080/19475701003648077","usgsCitation":"Lu, Z., and Wicks, C., 2010, Characterizing 6 August 2007 Crandall Canyon mine collapse from ALOS PALSAR InSAR: Geomatics, Natural Hazards and Risk, v. 1, no. 1, p. 85-93, https://doi.org/10.1080/19475701003648077.","productDescription":"9 p.","startPage":"85","endPage":"93","ipdsId":"IP-011426","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":475491,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1080/19475701003648077","text":"Publisher Index Page"},{"id":272253,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":272252,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1080/19475701003648077"}],"country":"United States","state":"Utah","county":"Emery","otherGeospatial":"Crandall Canyon Mine","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -111.31,38.5 ], [ -111.31,39.70 ], [ -109.99,39.70 ], [ -109.99,38.5 ], [ -111.31,38.5 ] ] ] } } ] }","volume":"1","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53cd50c2e4b0b290850f3876","contributors":{"authors":[{"text":"Lu, Zhong 0000-0001-9181-1818 lu@usgs.gov","orcid":"https://orcid.org/0000-0001-9181-1818","contributorId":901,"corporation":false,"usgs":true,"family":"Lu","given":"Zhong","email":"lu@usgs.gov","affiliations":[],"preferred":true,"id":471891,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wicks, Charles Jr. 0000-0002-0809-1328","orcid":"https://orcid.org/0000-0002-0809-1328","contributorId":19451,"corporation":false,"usgs":true,"family":"Wicks","given":"Charles","suffix":"Jr.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":471892,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70003788,"text":"70003788 - 2010 - Estimating migratory game-bird productivity by integrating age ratio and banding data","interactions":[],"lastModifiedDate":"2012-05-17T01:01:41","indexId":"70003788","displayToPublicDate":"2012-05-08T10:06:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3777,"text":"Wildlife Research","active":true,"publicationSubtype":{"id":10}},"title":"Estimating migratory game-bird productivity by integrating age ratio and banding data","docAbstract":"<p><b>Context:</b> Reproduction is a critical component of fitness, and understanding factors that influence temporal and spatial dynamics in reproductive output is important for effective management and conservation. Although several indices of reproductive output for wide-ranging species, such as migratory birds, exist, there has been no theoretical justification for their estimators or associated measures of variance.</p>\n<p><b>Aims:</b> The aims of our research were to develop statistical justification for an estimator of reproduction and associated variances on the basis of an existing national wing-collection survey and banding data, and to demonstrate the applicability of this estimator to a migratory game bird.</p>\n<p><b>Methods:</b> We used a Bayesian hierarchical modelling approach to integrate wing-collection data, which provides information on population age ratios, and band-recovery data, which provides information on recovery probabilities of various age classes, for American woodcock (<i>Scolopax minor</i>) to estimate productivity and associated measures of variance. We present two models of relative vulnerability between age classes: one model assumed that adult recovery probabilities were higher, but that annual fluctuations were synchronous between the two age classes (i.e. an additive effect of age and year). The second model assumed that adults, on average, had higher recovery probabilities than did juveniles and that annual fluctuations were asynchronous through time (i.e. an interaction between age and year).</p>\n<p><b>Key results:</b> Fitting our models within a hierarchical Bayesian framework efficiently incorporates the two data types into a single estimator and derives appropriate variances for the productivity estimator. Further, use of Bayesian methods enabled us to derive credible intervals that avoid the reliance on asymptotic assumptions. When applied to American woodcock data, the additive model resulted in biologically realistic and more precise age-ratio estimates each year and is adequate when the relative vulnerability to sampling only slightly varies or does not vary among components of a population (e.g. age, sex class) among years. Therefore, we recommend using woodcock indices from our analysis based on this model.</p>\n<p><b>Conclusions:</b> We provide a flexible modelling framework for estimating productivity and associated variances that can incorporate ecological covariates to explore various factors that could drive annual dynamics in productivity. Applying our model to the American woodcock data indicated that assumptions about the variability in relative recovery probabilities could greatly influence the precision of our productivity estimator. Therefore, researchers should carefully consider the assumption of temporally variable relative recovery probabilities (i.e. ratio of juvenile to adults' recovery probability) for different age classes when applying this estimator.</p>\n<p><b>Implications:</b> Several national and international management strategies for migratory game birds in North America rely on measures of productivity from harvest survey parts collections, without a justification of the estimator or providing estimates of precision. We derive an estimator of productivity with realistic measures of uncertainty that can be directly incorporated into management plans or ecological studies across large spatial scales.</p>","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Wildlife Research","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"CSIRO Publishing","publisherLocation":"Collingwood, Victoria, Australia","doi":"10.1071/WR10062","usgsCitation":"Zimmerman, G., Link, W., Conroy, M., Sauer, J., Richkus, K., and Boomer, G., 2010, Estimating migratory game-bird productivity by integrating age ratio and banding data: Wildlife Research, v. 37, no. 7, p. 612-622, https://doi.org/10.1071/WR10062.","productDescription":"11 p.","startPage":"612","endPage":"622","numberOfPages":"11","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":256873,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":21741,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://dx.doi.org/10.1071/WR10062","linkFileType":{"id":5,"text":"html"}}],"country":"United States","volume":"37","issue":"7","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a0b2de4b0c8380cd525e8","contributors":{"authors":[{"text":"Zimmerman, G.S.","contributorId":16126,"corporation":false,"usgs":true,"family":"Zimmerman","given":"G.S.","email":"","affiliations":[],"preferred":false,"id":348842,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Link, W.A. 0000-0002-9913-0256","orcid":"https://orcid.org/0000-0002-9913-0256","contributorId":8815,"corporation":false,"usgs":true,"family":"Link","given":"W.A.","affiliations":[],"preferred":false,"id":348841,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Conroy, M.J.","contributorId":84690,"corporation":false,"usgs":true,"family":"Conroy","given":"M.J.","email":"","affiliations":[],"preferred":false,"id":348845,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Sauer, J.R. 0000-0002-4557-3019","orcid":"https://orcid.org/0000-0002-4557-3019","contributorId":66197,"corporation":false,"usgs":true,"family":"Sauer","given":"J.R.","affiliations":[],"preferred":false,"id":348843,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Richkus, K.D.","contributorId":6297,"corporation":false,"usgs":true,"family":"Richkus","given":"K.D.","email":"","affiliations":[],"preferred":false,"id":348840,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Boomer, G. Scott","contributorId":84603,"corporation":false,"usgs":true,"family":"Boomer","given":"G. Scott","affiliations":[],"preferred":false,"id":348844,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70037769,"text":"70037769 - 2010 - Bayesian change point analysis of abundance trends for pelagic fishes in the upper San Francisco Estuary","interactions":[],"lastModifiedDate":"2012-04-30T16:43:36","indexId":"70037769","displayToPublicDate":"2012-03-25T14:25:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1450,"text":"Ecological Applications","active":true,"publicationSubtype":{"id":10}},"title":"Bayesian change point analysis of abundance trends for pelagic fishes in the upper San Francisco Estuary","docAbstract":"We examined trends in abundance of four pelagic fish species (delta smelt, longfin smelt, striped bass, and threadfin shad) in the upper San Francisco Estuary, California, USA, over 40 years using Bayesian change point models. Change point models identify times of abrupt or unusual changes in absolute abundance (step changes) or in rates of change in abundance (trend changes). We coupled Bayesian model selection with linear regression splines to identify biotic or abiotic covariates with the strongest associations with abundances of each species. We then refitted change point models conditional on the selected covariates to explore whether those covariates could explain statistical trends or change points in species abundances. We also fitted a multispecies change point model that identified change points common to all species. All models included hierarchical structures to model data uncertainties, including observation errors and missing covariate values. There were step declines in abundances of all four species in the early 2000s, with a likely common decline in 2002. Abiotic variables, including water clarity, position of the 2&#137; isohaline (X2), and the volume of freshwater exported from the estuary, explained some variation in species' abundances over the time series, but no selected covariates could explain statistically the post-2000 change points for any species.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Ecological Applications","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Ecological Society of America","publisherLocation":"Ithaca, NY","doi":"10.1890/09-0998.1","usgsCitation":"Thompson, J.R., Kimmerer, W.J., Brown, L.R., Newman, K.B., Mac Nally, R., Bennett, W.A., Feyrer, F., and Fleishman, E., 2010, Bayesian change point analysis of abundance trends for pelagic fishes in the upper San Francisco Estuary: Ecological Applications, v. 20, p. 1431-1448, https://doi.org/10.1890/09-0998.1.","productDescription":"18 p.","startPage":"1431","endPage":"1448","numberOfPages":"18","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":246933,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":246920,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://dx.doi.org/10.1890/09-0998.1","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"California","volume":"20","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5059f02ae4b0c8380cd4a611","contributors":{"authors":[{"text":"Thompson, James R.","contributorId":52015,"corporation":false,"usgs":true,"family":"Thompson","given":"James","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":462663,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kimmerer, Wim J.","contributorId":59169,"corporation":false,"usgs":false,"family":"Kimmerer","given":"Wim","email":"","middleInitial":"J.","affiliations":[{"id":6690,"text":"San Francisco State University","active":true,"usgs":false}],"preferred":false,"id":462664,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Brown, Larry R. 0000-0001-6702-4531 lrbrown@usgs.gov","orcid":"https://orcid.org/0000-0001-6702-4531","contributorId":1717,"corporation":false,"usgs":true,"family":"Brown","given":"Larry","email":"lrbrown@usgs.gov","middleInitial":"R.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":462660,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Newman, Ken B.","contributorId":51139,"corporation":false,"usgs":true,"family":"Newman","given":"Ken","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":462662,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Mac Nally, Ralph","contributorId":107966,"corporation":false,"usgs":true,"family":"Mac Nally","given":"Ralph","email":"","affiliations":[],"preferred":false,"id":462667,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Bennett, William A.","contributorId":88988,"corporation":false,"usgs":true,"family":"Bennett","given":"William","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":462665,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Feyrer, Frederick 0000-0003-1253-2349","orcid":"https://orcid.org/0000-0003-1253-2349","contributorId":106736,"corporation":false,"usgs":true,"family":"Feyrer","given":"Frederick","affiliations":[],"preferred":false,"id":462666,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Fleishman, Erica","contributorId":11863,"corporation":false,"usgs":true,"family":"Fleishman","given":"Erica","affiliations":[],"preferred":false,"id":462661,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70037764,"text":"70037764 - 2010 - Analysis of pelagic species decline in the upper San Francisco Estuary using multivariate autoregressive modeling (MAR)","interactions":[],"lastModifiedDate":"2021-01-13T16:06:21.339626","indexId":"70037764","displayToPublicDate":"2012-03-25T13:37:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1450,"text":"Ecological Applications","active":true,"publicationSubtype":{"id":10}},"title":"Analysis of pelagic species decline in the upper San Francisco Estuary using multivariate autoregressive modeling (MAR)","docAbstract":"Four species of pelagic fish of particular management concern in the upper San Francisco Estuary, California, USA, have declined precipitously since ca. 2002: delta smelt (<i>Hypomesus transpacificus</i>), longfin smelt (<i>Spirinchus thaleichthys</i>), striped bass (<i>Morone saxatilis</i>), and threadfin shad (<i>Dorosoma petenense</i>). The estuary has been monitored since the late 1960s with extensive collection of data on the fishes, their pelagic prey, phytoplankton biomass, invasive species, and physical factors. We used multivariate autoregressive (MAR) modeling to discern the main factors responsible for the declines. An expert-elicited model was built to describe the system. Fifty-four relationships were built into the model, only one of which was of uncertain direction a priori. Twenty-eight of the proposed relationships were strongly supported by or consistent with the data, while 26 were close to zero (not supported by the data but not contrary to expectations). The position of the 2&#137; isohaline (a measure of the physical response of the estuary to freshwater flow) and increased water clarity over the period of analyses were two factors affecting multiple declining taxa (including fishes and the fishes' main zooplankton prey). Our results were relatively robust with respect to the form of stock&ndash;recruitment model used and to inclusion of subsidiary covariates but may be enhanced by using detailed state&ndash;space models that describe more fully the life-history dynamics of the declining species.","language":"English","publisher":"Ecological Society of America","publisherLocation":"Ithaca, NY","doi":"10.1890/09-1724.1","usgsCitation":"Mac Nally, R., Thomson, J.R., Kimmerer, W.J., Feyrer, F., Newman, K.B., Sih, A., Bennett, W.A., Brown, L.R., Fleishman, E., Culberson, S.D., and Castillo, G., 2010, Analysis of pelagic species decline in the upper San Francisco Estuary using multivariate autoregressive modeling (MAR): Ecological Applications, v. 20, no. 5, p. 1417-1430, https://doi.org/10.1890/09-1724.1.","productDescription":"14 p.","startPage":"1417","endPage":"1430","numberOfPages":"14","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":246932,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Upper San Francisco Estuary","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -122.772216796875,\n              37.77071473849609\n            ],\n            [\n              -121.278076171875,\n              37.77071473849609\n            ],\n            [\n              -121.278076171875,\n              38.41055825094609\n            ],\n            [\n              -122.772216796875,\n              38.41055825094609\n            ],\n            [\n              -122.772216796875,\n              37.77071473849609\n            ]\n          ]\n 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A.","contributorId":88988,"corporation":false,"usgs":true,"family":"Bennett","given":"William","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":462641,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Brown, Larry R. 0000-0001-6702-4531 lrbrown@usgs.gov","orcid":"https://orcid.org/0000-0001-6702-4531","contributorId":1717,"corporation":false,"usgs":true,"family":"Brown","given":"Larry","email":"lrbrown@usgs.gov","middleInitial":"R.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":462639,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Fleishman, Erica","contributorId":11863,"corporation":false,"usgs":true,"family":"Fleishman","given":"Erica","affiliations":[],"preferred":false,"id":462633,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Culberson, Steven D.","contributorId":82166,"corporation":false,"usgs":true,"family":"Culberson","given":"Steven","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":462640,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Castillo, Gonzalo","contributorId":46806,"corporation":false,"usgs":true,"family":"Castillo","given":"Gonzalo","email":"","affiliations":[],"preferred":false,"id":462635,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}}
,{"id":70037804,"text":"70037804 - 2010 - Systematic status of wild <i>Canis</i> in North-central Texas","interactions":[],"lastModifiedDate":"2018-01-04T11:33:37","indexId":"70037804","displayToPublicDate":"2012-03-25T11:26:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3444,"text":"Southeastern Naturalist","active":true,"publicationSubtype":{"id":10}},"title":"Systematic status of wild <i>Canis</i> in North-central Texas","docAbstract":"Skulls of wild <i>Canis</i> collected 2003&ndash;2004 in north-central Texas are morphometrically similar to a series taken there and in nearby areas in 1964&ndash;1971, which was considered to represent a population of Coyotes (<i>C. latrans</i>) modified through introgression from Red Wolves (<i>C. rufus</i>). A few of the new specimens closely resemble small examples of Red Wolves. Such affinity is supported by authoritative examination of living and videotaped animals. The persistence of influence of Red Wolves, long after presumed extirpation through hybridization and human persecution, may be relevant to wolf conservation.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Southeastern Naturalist","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Humboldt Field Research Institute","publisherLocation":"Steuben, ME","doi":"10.1656/058.009.0315","usgsCitation":"Mech, L.D., and Nowak, R.M., 2010, Systematic status of wild <i>Canis</i> in North-central Texas: Southeastern Naturalist, v. 9, no. 3, p. 587-594, https://doi.org/10.1656/058.009.0315.","productDescription":"8 p.","startPage":"587","endPage":"594","costCenters":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":487898,"rank":101,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1656/058.009.0315","text":"External Repository"},{"id":246907,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":246902,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://dx.doi.org/10.1656/058.009.0315","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Texas","volume":"9","issue":"3","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505ba36fe4b08c986b31fcd2","contributors":{"authors":[{"text":"Mech, L. David 0000-0003-3944-7769 david_mech@usgs.gov","orcid":"https://orcid.org/0000-0003-3944-7769","contributorId":2518,"corporation":false,"usgs":true,"family":"Mech","given":"L.","email":"david_mech@usgs.gov","middleInitial":"David","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":462772,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Nowak, Ronald M.","contributorId":25622,"corporation":false,"usgs":true,"family":"Nowak","given":"Ronald","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":462773,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70007387,"text":"70007387 - 2010 - Detecting temporal trends in species assemblages with bootstrapping procedures and hierarchical models","interactions":[],"lastModifiedDate":"2013-01-21T18:15:06","indexId":"70007387","displayToPublicDate":"2012-02-28T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3048,"text":"Philosophical Transactions of the Royal Society B: Biological Sciences","active":true,"publicationSubtype":{"id":10}},"title":"Detecting temporal trends in species assemblages with bootstrapping procedures and hierarchical models","docAbstract":"Quantifying patterns of temporal trends in species assemblages is an important analytical challenge in community ecology. We describe methods of analysis that can be applied to a matrix of counts of individuals that is organized by species (rows) and time-ordered sampling periods (columns). We first developed a bootstrapping procedure to test the null hypothesis of random sampling from a stationary species abundance distribution with temporally varying sampling probabilities. This procedure can be modified to account for undetected species. We next developed a hierarchical model to estimate species-specific trends in abundance while accounting for species-specific probabilities of detection. We analysed two long-term datasets on stream fishes and grassland insects to demonstrate these methods. For both assemblages, the bootstrap test indicated that temporal trends in abundance were more heterogeneous than expected under the null model. We used the hierarchical model to estimate trends in abundance and identified sets of species in each assemblage that were steadily increasing, decreasing or remaining constant in abundance over more than a decade of standardized annual surveys. Our methods of analysis are broadly applicable to other ecological datasets, and they represent an advance over most existing procedures, which do not incorporate effects of incomplete sampling and imperfect detection.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Philosophical Transactions of the Royal Society B: Biological Sciences","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"The Royal Society","publisherLocation":"London, UK","doi":"10.1098/rstb.2010.0262","usgsCitation":"Gotelli, N., Dorazio, R.M., Ellison, A.M., and Grossman, G.D., 2010, Detecting temporal trends in species assemblages with bootstrapping procedures and hierarchical models: Philosophical Transactions of the Royal Society B: Biological Sciences, v. 365, no. 1558, p. 3621-3631, https://doi.org/10.1098/rstb.2010.0262.","productDescription":"11 p.","startPage":"3621","endPage":"3631","costCenters":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"links":[{"id":475495,"rank":101,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"http://nrs.harvard.edu/urn-3:HUL.InstRepos:4677617","text":"External Repository"},{"id":204858,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":204856,"rank":100,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1098/rstb.2010.0262","linkFileType":{"id":5,"text":"html"}}],"volume":"365","issue":"1558","noUsgsAuthors":false,"publicationDate":"2010-11-27","publicationStatus":"PW","scienceBaseUri":"5059ff62e4b0c8380cd4f167","contributors":{"authors":[{"text":"Gotelli, Nicholas J.","contributorId":79618,"corporation":false,"usgs":true,"family":"Gotelli","given":"Nicholas J.","affiliations":[],"preferred":false,"id":356376,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dorazio, Robert M. 0000-0003-2663-0468 bob_dorazio@usgs.gov","orcid":"https://orcid.org/0000-0003-2663-0468","contributorId":1668,"corporation":false,"usgs":true,"family":"Dorazio","given":"Robert","email":"bob_dorazio@usgs.gov","middleInitial":"M.","affiliations":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"preferred":false,"id":356373,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ellison, Aaron M.","contributorId":37058,"corporation":false,"usgs":true,"family":"Ellison","given":"Aaron","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":356375,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Grossman, Gary D.","contributorId":14106,"corporation":false,"usgs":true,"family":"Grossman","given":"Gary","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":356374,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70007374,"text":"sim3109 - 2010 - Surficial geologic map of the Amboy 30' x 60' quadrangle, San Bernardino County, California","interactions":[],"lastModifiedDate":"2022-04-15T19:28:26.983869","indexId":"sim3109","displayToPublicDate":"2012-02-23T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":333,"text":"Scientific Investigations Map","code":"SIM","onlineIssn":"2329-132X","printIssn":"2329-1311","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"3109","title":"Surficial geologic map of the Amboy 30' x 60' quadrangle, San Bernardino County, California","docAbstract":"The surficial geologic map of the Amboy 30' x 60' quadrangle presents characteristics of surficial materials for an area of approximately 5,000 km<sup>2</sup> in the eastern Mojave Desert of southern California. This map consists of new surficial mapping conducted between 2000 and 2007, as well as compilations from previous surficial mapping. Surficial geologic units are mapped and described based on depositional process and age categories that reflect the mode of deposition, pedogenic effects following deposition, and, where appropriate, the lithologic nature of the material. Many physical properties were noted and measured during the geologic mapping. This information was used to classify surficial deposits and to understand their ecological importance. We focus on physical properties that drive hydrologic, biologic, and physical processes such as particle-size distribution (PSD) and bulk density. The database contains point data representing locations of samples for both laboratory determined physical properties and semiquantitative field-based information in the database. We include the locations of all field observations and note the type of information collected in the field to help assist in assessing the quality of the mapping. The publication is separated into three parts: documentation, spatial data, and printable map graphics of the database. Documentation includes this pamphlet, which provides a discussion of the surficial geology and units and the map. Spatial data are distributed as ArcGIS Geodatabase in Microsoft Access format and are accompanied by a readme file, which describes the database contents, and FGDC metadata for the spatial map information. Map graphics files are distributed as Postscript and Adobe Portable Document Format (PDF) files that provide a view of the spatial database at the mapped scale.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sim3109","usgsCitation":"Bedford, D., Miller, D., and Phelps, G., 2010, Surficial geologic map of the Amboy 30' x 60' quadrangle, San Bernardino County, California: U.S. Geological Survey Scientific Investigations Map 3109, Pamphlet: iv, 20 p.; 1 Plate: 56.00 x 30.00 inches; Readme; Metadata; Data Download, https://doi.org/10.3133/sim3109.","productDescription":"Pamphlet: iv, 20 p.; 1 Plate: 56.00 x 30.00 inches; Readme; Metadata; Data Download","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":309,"text":"Geology and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":116397,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sim_3109.png"},{"id":398861,"rank":3,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_93795.htm"},{"id":115885,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sim/3109/","linkFileType":{"id":5,"text":"html"}}],"scale":"100000","projection":"Universal Transverse Mercator projection","datum":"NAD27","country":"United States","state":"California","county":"San Bernadino County","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -116,34.5 ], [ -116,35 ], [ -115,35 ], [ -115,34.5 ], [ -116,34.5 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505ba1dce4b08c986b31f362","contributors":{"authors":[{"text":"Bedford, David R.","contributorId":26352,"corporation":false,"usgs":true,"family":"Bedford","given":"David R.","affiliations":[],"preferred":false,"id":356339,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Miller, David M. 0000-0003-3711-0441 dmiller@usgs.gov","orcid":"https://orcid.org/0000-0003-3711-0441","contributorId":1707,"corporation":false,"usgs":true,"family":"Miller","given":"David M.","email":"dmiller@usgs.gov","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":false,"id":356337,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Phelps, Geoffrey A.","contributorId":17262,"corporation":false,"usgs":true,"family":"Phelps","given":"Geoffrey A.","affiliations":[],"preferred":false,"id":356338,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70007515,"text":"70007515 - 2010 - An approach for modeling sediment budgets in supply-limited rivers","interactions":[],"lastModifiedDate":"2018-03-21T15:46:48","indexId":"70007515","displayToPublicDate":"2012-02-19T18:54:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3722,"text":"Water Resources Research","onlineIssn":"1944-7973","printIssn":"0043-1397","active":true,"publicationSubtype":{"id":10}},"title":"An approach for modeling sediment budgets in supply-limited rivers","docAbstract":"Reliable predictions of sediment transport and river morphology in response to variations in natural and human-induced drivers are necessary for river engineering and management. Because engineering and management applications may span a wide range of space and time scales, a broad spectrum of modeling approaches has been developed, ranging from suspended-sediment \"rating curves\" to complex three-dimensional morphodynamic models. Suspended sediment rating curves are an attractive approach for evaluating changes in multi-year sediment budgets resulting from changes in flow regimes because they are simple to implement, computationally efficient, and the empirical parameters can be estimated from quantities that are commonly measured in the field (i.e., suspended sediment concentration and water discharge). However, the standard rating curve approach assumes a unique suspended sediment concentration for a given water discharge. This assumption is not valid in rivers where sediment supply varies enough to cause changes in particle size or changes in areal coverage of sediment on the bed; both of these changes cause variations in suspended sediment concentration for a given water discharge. More complex numerical models of hydraulics and morphodynamics have been developed to address such physical changes of the bed. This additional complexity comes at a cost in terms of computations as well as the type and amount of data required for model setup, calibration, and testing. Moreover, application of the resulting sediment-transport models may require observations of bed-sediment boundary conditions that require extensive (and expensive) observations or, alternatively, require the use of an additional model (subject to its own errors) merely to predict the bed-sediment boundary conditions for use by the transport model. In this paper we present a hybrid approach that combines aspects of the rating curve method and the more complex morphodynamic models. Our primary objective was to develop an approach complex enough to capture the processes related to sediment supply limitation but simple enough to allow for rapid calculations of multi-year sediment budgets. The approach relies on empirical relations between suspended sediment concentration and discharge but on a particle size specific basis and also tracks and incorporates the particle size distribution of the bed sediment. We have applied this approach to the Colorado River below Glen Canyon Dam (GCD), a reach that is particularly suited to such an approach because it is substantially sediment supply limited such that transport rates are strongly dependent on both water discharge and sediment supply. The results confirm the ability of the approach to simulate the effects of supply limitation, including periods of accumulation and bed fining as well as erosion and bed coarsening, using a very simple formulation. Although more empirical in nature than standard one-dimensional morphodynamic models, this alternative approach is attractive because its simplicity allows for rapid evaluation of multi-year sediment budgets under a range of flow regimes and sediment supply conditions, and also because it requires substantially less data for model setup and use.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Water Resources Research","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"American Geophysical Union","publisherLocation":"Washington, D.C.","doi":"10.1029/2009WR008600","usgsCitation":"Wright, S., Topping, D.J., Rubin, D.M., and Melis, T., 2010, An approach for modeling sediment budgets in supply-limited rivers: Water Resources Research, v. 46, no. W10538, 18 p., https://doi.org/10.1029/2009WR008600.","productDescription":"18 p.","numberOfPages":"18","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true},{"id":322,"text":"Grand Canyon Monitoring and Research Center","active":false,"usgs":true},{"id":528,"text":"Pacific Science Center","active":false,"usgs":true}],"links":[{"id":475496,"rank":101,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2009wr008600","text":"Publisher Index Page"},{"id":204732,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":204718,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://dx.doi.org/10.1029/2009WR008600","linkFileType":{"id":5,"text":"html"}}],"volume":"46","issue":"W10538","noUsgsAuthors":false,"publicationDate":"2010-10-28","publicationStatus":"PW","scienceBaseUri":"5059ea0be4b0c8380cd485cc","contributors":{"authors":[{"text":"Wright, Scott 0000-0002-0387-5713 sawright@usgs.gov","orcid":"https://orcid.org/0000-0002-0387-5713","contributorId":1536,"corporation":false,"usgs":true,"family":"Wright","given":"Scott","email":"sawright@usgs.gov","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":356568,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Topping, David J. 0000-0002-2104-4577 dtopping@usgs.gov","orcid":"https://orcid.org/0000-0002-2104-4577","contributorId":715,"corporation":false,"usgs":true,"family":"Topping","given":"David","email":"dtopping@usgs.gov","middleInitial":"J.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":false,"id":356571,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rubin, David M. 0000-0003-1169-1452 drubin@usgs.gov","orcid":"https://orcid.org/0000-0003-1169-1452","contributorId":3159,"corporation":false,"usgs":true,"family":"Rubin","given":"David","email":"drubin@usgs.gov","middleInitial":"M.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":356570,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Melis, Theodore S. 0000-0003-0473-3968 tmelis@usgs.gov","orcid":"https://orcid.org/0000-0003-0473-3968","contributorId":1829,"corporation":false,"usgs":true,"family":"Melis","given":"Theodore S.","email":"tmelis@usgs.gov","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":356569,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70003514,"text":"70003514 - 2010 - Winter distribution, movements, and annual survival of radiomarked Vancouver Canada geese in southeast Alaska","interactions":[],"lastModifiedDate":"2018-06-20T20:26:17","indexId":"70003514","displayToPublicDate":"2012-02-12T17:15:00","publicationYear":"2010","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":"Winter distribution, movements, and annual survival of radiomarked Vancouver Canada geese in southeast Alaska","docAbstract":"Management of Pacific Flyway Canada geese (<i>Branta canadensis</i>) requires information on winter distribution of different populations. Recoveries of tarsus bands from Vancouver Canada geese (<i>B. canadensis fulva</i>) marked in southeast Alaska, USA, &ge;4 decades ago suggested that &ge;83% of the population was non-migratory and that annual adult survival was high (&#348; = 0.836). However, recovery distribution of tarsus bands was potentially biased due to geographic differences in harvest intensity in the Pacific Flyway. Also, winter distribution of Vancouver Canada geese could have shifted since the 1960s, as has occurred for some other populations of Canada geese. Because winter distribution and annual survival of this population had not recently been evaluated, we surgically implanted very high frequency radiotransmitters in 166 adult female Canada geese in southeast Alaska. We captured Vancouver Canada geese during molt at 2 sites where adults with goslings were present (breeding areas) and 2 sites where we observed nonbreeding birds only. During winter radiotracking flights in southeast Alaska, we detected 98% of 85 females marked at breeding areas and 83% of 70 females marked at nonbreeding sites, excluding 11 females that died prior to the onset of winter radiotracking. We detected no radiomarked females in coastal British Columbia, or western Washington and Oregon, USA. Most (70%) females moved &le;30 km between November and March. Our model-averaged estimate of annual survival (&#348; = 0.844, SE = 0.050) was similar to the estimate of annual survival of geese marked from 1956 to 1960. Likely <2% of Vancouver Canada geese that nest in southeast Alaska migrate to winter areas in Oregon or Washington where they could intermix with Canada geese from other populations in the Pacific Flyway. Because annual survival of adult Vancouver Canada geese was high and showed evidence of long-term consistency, managers should examine how reproductive success and recruitment may affect the population.","language":"English","publisher":"The Wildlife Society","doi":"10.2193/2009-057","usgsCitation":"Hupp, J.W., Hodges, J.I., Conant, B.P., Meixell, B.W., and Groves, D.J., 2010, Winter distribution, movements, and annual survival of radiomarked Vancouver Canada geese in southeast Alaska: Journal of Wildlife Management, v. 74, no. 2, p. 274-284, https://doi.org/10.2193/2009-057.","productDescription":"11 p.","startPage":"274","endPage":"284","costCenters":[{"id":115,"text":"Alaska Science Center Biology","active":false,"usgs":true}],"links":[{"id":204566,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","volume":"74","issue":"2","noUsgsAuthors":false,"publicationDate":"2010-12-13","publicationStatus":"PW","scienceBaseUri":"505bd147e4b08c986b32f32c","contributors":{"authors":[{"text":"Hupp, Jerry W. 0000-0002-6439-3910 jhupp@usgs.gov","orcid":"https://orcid.org/0000-0002-6439-3910","contributorId":127803,"corporation":false,"usgs":true,"family":"Hupp","given":"Jerry","email":"jhupp@usgs.gov","middleInitial":"W.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":347596,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hodges, John I. Jr.","contributorId":69015,"corporation":false,"usgs":true,"family":"Hodges","given":"John","suffix":"Jr.","email":"","middleInitial":"I.","affiliations":[],"preferred":false,"id":347600,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Conant, Bruce P.","contributorId":20215,"corporation":false,"usgs":true,"family":"Conant","given":"Bruce","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":347598,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Meixell, Brandt W. 0000-0002-6738-0349 bmeixell@usgs.gov","orcid":"https://orcid.org/0000-0002-6738-0349","contributorId":138716,"corporation":false,"usgs":true,"family":"Meixell","given":"Brandt","email":"bmeixell@usgs.gov","middleInitial":"W.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":347597,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Groves, Debbie J.","contributorId":53239,"corporation":false,"usgs":true,"family":"Groves","given":"Debbie","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":347599,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70005927,"text":"70005927 - 2010 - Vegetation index methods for estimating evapotranspiration by remote sensing","interactions":[],"lastModifiedDate":"2025-12-10T17:08:31.176037","indexId":"70005927","displayToPublicDate":"2012-01-29T12:26:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3503,"text":"Surveys in Geophysics","active":true,"publicationSubtype":{"id":10}},"title":"Vegetation index methods for estimating evapotranspiration by remote sensing","docAbstract":"Evapotranspiration (ET) is the largest term after precipitation in terrestrial water budgets. Accurate estimates of ET are needed for numerous agricultural and natural resource management tasks and to project changes in hydrological cycles due to potential climate change. We explore recent methods that combine vegetation indices (VI) from satellites with ground measurements of actual ET (ETa) and meteorological data to project ETa over a wide range of biome types and scales of measurement, from local to global estimates. The majority of these use time-series imagery from the Moderate Resolution Imaging Spectrometer on the Terra satellite to project ET over seasons and years. The review explores the theoretical basis for the methods, the types of ancillary data needed, and their accuracy and limitations. Coefficients of determination between modeled ETa and measured ETa are in the range of 0.45&ndash;0.95, and root mean square errors are in the range of 10&ndash;30% of mean ETa values across biomes, similar to methods that use thermal infrared bands to estimate ETa and within the range of accuracy of the ground measurements by which they are calibrated or validated. The advent of frequent-return satellites such as Terra and planed replacement platforms, and the increasing number of moisture and carbon flux tower sites over the globe, have made these methods feasible. Examples of operational algorithms for ET in agricultural and natural ecosystems are presented. The goal of the review is to enable potential end-users from different disciplines to adapt these methods to new applications that require spatially-distributed ET estimates.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Surveys in Geophysics","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Springer","publisherLocation":"Amsterdam, Netherlands","doi":"10.1007/s10712-010-9102-2","usgsCitation":"Glenn, E.P., Nagler, P.L., and Huete, A.R., 2010, Vegetation index methods for estimating evapotranspiration by remote sensing: Surveys in Geophysics, v. 31, no. 6, p. 531-555, https://doi.org/10.1007/s10712-010-9102-2.","productDescription":"25 p.","startPage":"531","endPage":"555","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":204693,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"31","issue":"6","noUsgsAuthors":false,"publicationDate":"2010-10-17","publicationStatus":"PW","scienceBaseUri":"505bc1d8e4b08c986b32a7b7","contributors":{"authors":[{"text":"Glenn, Edward P.","contributorId":19289,"corporation":false,"usgs":true,"family":"Glenn","given":"Edward","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":353479,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Nagler, Pamela L. 0000-0003-0674-103X pnagler@usgs.gov","orcid":"https://orcid.org/0000-0003-0674-103X","contributorId":1398,"corporation":false,"usgs":true,"family":"Nagler","given":"Pamela","email":"pnagler@usgs.gov","middleInitial":"L.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":353478,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Huete, Alfredo R.","contributorId":87291,"corporation":false,"usgs":true,"family":"Huete","given":"Alfredo","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":353480,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70003962,"text":"70003962 - 2010 - Variation in &delta;<sup>13</sup>C and &delta;<sup>15</sup>N diet&ndash;vibrissae trophic discrimination factors in a wild population of California sea otters","interactions":[],"lastModifiedDate":"2012-02-07T00:10:04","indexId":"70003962","displayToPublicDate":"2012-01-29T11:57:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1450,"text":"Ecological Applications","active":true,"publicationSubtype":{"id":10}},"title":"Variation in &delta;<sup>13</sup>C and &delta;<sup>15</sup>N diet&ndash;vibrissae trophic discrimination factors in a wild population of California sea otters","docAbstract":"The ability to quantify dietary inputs using stable isotope data depends on accurate estimates of isotopic differences between a consumer (c) and its diet (d), commonly referred to as trophic discrimination factors (TDFs) and denoted by &Delta;<sub>c-d</sub>. At present, TDFs are available for only a few mammals and are usually derived in captive settings. The magnitude of TDFs and the degree to which they vary in wild populations is unknown. We determined &delta;<sup>13</sup>C and &delta;<sup>15</sup>N TDFs for vibrissae (i.e., whiskers), a tissue that is rapidly becoming an informative isotopic substrate for ecologists, of a wild population of sea otters for which individual diet has been quantified through extensive observational study. This is one of the very few studies that report TDFs for free-living wild animals feeding on natural diets. Trophic discrimination factors of 2.2&#137; &plusmn; 0.7&#137; for &delta;<sup>13</sup>C and 3.5&#137; &plusmn; 0.6&#137; for &delta;<sup>15</sup>N (mean &plusmn; SD) were similar to those reported for captive carnivores, and variation in individual &delta;<sup>13</sup>C TDFs was negatively but significantly related to sea urchin consumption. This pattern may relate to the lipid-rich diet consumed by most sea otters in this population and suggests that it may not be appropriate to lipid-extract prey samples when using the isotopic composition of keratinaceous tissues to examine diet in consumers that frequently consume lipid-rich foods, such as many marine mammals and seabirds. We suggest that inherent variation in TDFs should be included in isotopically based estimates of trophic level, food chain length, and mixing models used to quantify dietary inputs in wild populations; this practice will further define the capabilities and limitations of isotopic approaches in ecological studies.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Ecological Applications","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Ecological Society of America","publisherLocation":"Ithaca, NY","doi":"10.1890/09-1502.1","usgsCitation":"Newsome, S.D., Bentall, G.B., Tinker, M.T., Oftedal, O.T., Ralls, K., Estes, J.A., and Fogel, M.L., 2010, Variation in &delta;<sup>13</sup>C and &delta;<sup>15</sup>N diet&ndash;vibrissae trophic discrimination factors in a wild population of California sea otters: Ecological Applications, v. 20, no. 6, p. 1744-1752, https://doi.org/10.1890/09-1502.1.","productDescription":"9 p.","startPage":"1744","endPage":"1752","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":21755,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://dx.doi.org/10.1890/09-1502.1","linkFileType":{"id":5,"text":"html"}},{"id":204696,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"20","issue":"6","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505bc14fe4b08c986b32a507","contributors":{"authors":[{"text":"Newsome, Seth D.","contributorId":81640,"corporation":false,"usgs":false,"family":"Newsome","given":"Seth","email":"","middleInitial":"D.","affiliations":[{"id":7000,"text":"Department of Biology, University of New Mexico","active":true,"usgs":false}],"preferred":false,"id":349733,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bentall, Gena B. 0000-0001-5448-1573","orcid":"https://orcid.org/0000-0001-5448-1573","contributorId":43103,"corporation":false,"usgs":true,"family":"Bentall","given":"Gena","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":349730,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Tinker, M. Tim 0000-0002-3314-839X ttinker@usgs.gov","orcid":"https://orcid.org/0000-0002-3314-839X","contributorId":2796,"corporation":false,"usgs":true,"family":"Tinker","given":"M.","email":"ttinker@usgs.gov","middleInitial":"Tim","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":349728,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Oftedal, Olav T.","contributorId":54738,"corporation":false,"usgs":true,"family":"Oftedal","given":"Olav","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":349732,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Ralls, Katherine","contributorId":37900,"corporation":false,"usgs":false,"family":"Ralls","given":"Katherine","email":"","affiliations":[{"id":7035,"text":"Smithsonian Conservation Biology Institute, National Zoological Park","active":true,"usgs":false}],"preferred":false,"id":349729,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Estes, James A. jim_estes@usgs.gov","contributorId":53325,"corporation":false,"usgs":true,"family":"Estes","given":"James","email":"jim_estes@usgs.gov","middleInitial":"A.","affiliations":[{"id":6949,"text":"University of California, Santa Cruz","active":true,"usgs":false},{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":false,"id":349731,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Fogel, Marilyn L.","contributorId":99699,"corporation":false,"usgs":true,"family":"Fogel","given":"Marilyn","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":349734,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70003561,"text":"70003561 - 2010 - Unmodeled observation error induces bias when inferring patterns and dynamics of species occurrence via aural detections","interactions":[],"lastModifiedDate":"2021-01-13T16:55:42.10747","indexId":"70003561","displayToPublicDate":"2012-01-22T14:42:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1465,"text":"Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Unmodeled observation error induces bias when inferring patterns and dynamics of species occurrence via aural detections","docAbstract":"<p><span>The recent surge in the development and application of species occurrence models has been associated with an acknowledgment among ecologists that species are detected imperfectly due to observation error. Standard models now allow unbiased estimation of occupancy probability when false negative detections occur, but this is conditional on no false positive detections and sufficient incorporation of explanatory variables for the false negative detection process. These assumptions are likely reasonable in many circumstances, but there is mounting evidence that false positive errors and detection probability heterogeneity may be much more prevalent in studies relying on auditory cues for species detection (e.g., songbird or calling amphibian surveys). We used field survey data from a simulated calling anuran system of known occupancy state to investigate the biases induced by these errors in dynamic models of species occurrence. Despite the participation of expert observers in simplified field conditions, both false positive errors and site detection probability heterogeneity were extensive for most species in the survey. We found that even low levels of false positive errors, constituting as little as 1% of all detections, can cause severe overestimation of site occupancy, colonization, and local extinction probabilities. Further, unmodeled detection probability heterogeneity induced substantial underestimation of occupancy and overestimation of colonization and local extinction probabilities. Completely spurious relationships between species occurrence and explanatory variables were also found. Such misleading inferences would likely have deleterious implications for conservation and management programs. We contend that all forms of observation error, including false positive errors and heterogeneous detection probabilities, must be incorporated into the estimation framework to facilitate reliable inferences about occupancy and its associated vital rate parameters.</span></p>","language":"English","publisher":"Ecological Society of America","doi":"10.1890/09-1287.1","usgsCitation":"McClintock, B.T., Bailey, L., Pollock, K.H., and Simons, T.R., 2010, Unmodeled observation error induces bias when inferring patterns and dynamics of species occurrence via aural detections: Ecology, v. 91, no. 8, p. 2446-2454, https://doi.org/10.1890/09-1287.1.","productDescription":"9 p.","startPage":"2446","endPage":"2454","numberOfPages":"9","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":475502,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1890/09-1287.1","text":"Publisher Index 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Carolina\",\"nation\":\"USA  \"}}]}","volume":"91","issue":"8","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505bbcd9e4b08c986b328e38","contributors":{"authors":[{"text":"McClintock, Brett T. 0000-0001-6154-4376","orcid":"https://orcid.org/0000-0001-6154-4376","contributorId":83785,"corporation":false,"usgs":true,"family":"McClintock","given":"Brett","email":"","middleInitial":"T.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true},{"id":12448,"text":"U.S. National Oceanic and Atmospheric Administration","active":true,"usgs":false}],"preferred":true,"id":347748,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bailey, Larissa L.","contributorId":93183,"corporation":false,"usgs":true,"family":"Bailey","given":"Larissa L.","affiliations":[],"preferred":false,"id":347749,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Pollock, Kenneth H.","contributorId":8590,"corporation":false,"usgs":false,"family":"Pollock","given":"Kenneth","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":347747,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Simons, Theodore R. 0000-0002-1884-6229 tsimons@usgs.gov","orcid":"https://orcid.org/0000-0002-1884-6229","contributorId":2623,"corporation":false,"usgs":true,"family":"Simons","given":"Theodore","email":"tsimons@usgs.gov","middleInitial":"R.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":347746,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70003377,"text":"70003377 - 2010 - USGS perspectives on an integrated approach to watershed and coastal management","interactions":[],"lastModifiedDate":"2012-02-02T00:16:02","indexId":"70003377","displayToPublicDate":"2012-01-22T14:33:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2678,"text":"Marine Technology Society Journal","active":true,"publicationSubtype":{"id":10}},"title":"USGS perspectives on an integrated approach to watershed and coastal management","docAbstract":"The writers discuss three critically important steps necessary for achieving the goal for improved integrated approaches on watershed and coastal protection and management. These steps involve modernization of monitoring networks, creation of common data and web services infrastructures, and development of modeling, assessment, and research tools. Long-term monitoring is needed for tracking the effectiveness approaches for controlling land-based sources of nutrients, contaminants, and invasive species. The integration of mapping and monitoring with conceptual and mathematical models, and multidisciplinary assessments is important in making well-informed decisions. Moreover, a better integrated data network is essential for mapping, statistical, and modeling applications, and timely dissemination of data and information products to a broad community of users.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Marine Technology Society Journal","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Marine Technology Society","publisherLocation":"Washington, D.C.","usgsCitation":"Larsen, M.C., Hamilton, P.A., Haines, J.W., and Mason, 2010, USGS perspectives on an integrated approach to watershed and coastal management: Marine Technology Society Journal, v. 44, no. 6, p. 18-21.","productDescription":"4 p.","startPage":"18","endPage":"21","costCenters":[{"id":509,"text":"Office of the Associate Director for Water","active":true,"usgs":true}],"links":[{"id":204679,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"44","issue":"6","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505bbbd6e4b08c986b328870","contributors":{"authors":[{"text":"Larsen, Matthew C. mclarsen@usgs.gov","contributorId":1568,"corporation":false,"usgs":true,"family":"Larsen","given":"Matthew","email":"mclarsen@usgs.gov","middleInitial":"C.","affiliations":[],"preferred":true,"id":347059,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hamilton, Pixie A. pahamilt@usgs.gov","contributorId":1068,"corporation":false,"usgs":true,"family":"Hamilton","given":"Pixie","email":"pahamilt@usgs.gov","middleInitial":"A.","affiliations":[],"preferred":true,"id":347058,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Haines, John W. 0000-0002-6475-8924 jhaines@usgs.gov","orcid":"https://orcid.org/0000-0002-6475-8924","contributorId":509,"corporation":false,"usgs":true,"family":"Haines","given":"John","email":"jhaines@usgs.gov","middleInitial":"W.","affiliations":[{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true}],"preferred":true,"id":347057,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Mason, Jr. 0000-0002-3998-3468 rrmason@usgs.gov","orcid":"https://orcid.org/0000-0002-3998-3468","contributorId":2090,"corporation":false,"usgs":true,"family":"Mason","suffix":"Jr.","email":"rrmason@usgs.gov","affiliations":[{"id":509,"text":"Office of the Associate Director for Water","active":true,"usgs":true}],"preferred":true,"id":347060,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70003508,"text":"70003508 - 2010 - Two-dimensional time dependent hurricane overwash and erosion modeling at Santa Rosa Island","interactions":[],"lastModifiedDate":"2012-02-02T00:15:57","indexId":"70003508","displayToPublicDate":"2012-01-22T13:27:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1262,"text":"Coastal Engineering","active":true,"publicationSubtype":{"id":10}},"title":"Two-dimensional time dependent hurricane overwash and erosion modeling at Santa Rosa Island","docAbstract":"A 2DH numerical, model which is capable of computing nearshore circulation and morphodynamics, including dune erosion, breaching and overwash, is used to simulate overwash caused by Hurricane Ivan (2004) on a barrier island. The model is forced using parametric wave and surge time series based on field data and large-scale numerical model results. The model predicted beach face and dune erosion reasonably well as well as the development of washover fans. Furthermore, the model demonstrated considerable quantitative skill (upwards of 66% of variance explained, maximum bias - 0.21 m) in hindcasting the post-storm shape and elevation of the subaerial barrier island when a sheet flow sediment transport limiter was applied. The prediction skill ranged between 0.66 and 0.77 in a series of sensitivity tests in which several hydraulic forcing parameters were varied. The sensitivity studies showed that the variations in the incident wave height and wave period affected the entire simulated island morphology while variations in the surge level gradient between the ocean and back barrier bay affected the amount of deposition on the back barrier and in the back barrier bay. The model sensitivity to the sheet flow sediment transport limiter, which served as a proxy for unknown factors controlling the resistance to erosion, was significantly greater than the sensitivity to the hydraulic forcing parameters. If no limiter was applied the simulated morphological response of the barrier island was an order of magnitude greater than the measured morphological response.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Coastal Engineering","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","publisherLocation":"Amsterdam, Netherlands","doi":"10.1016/j.coastaleng.2010.02.006","usgsCitation":"McCall, R., Van Theil de Vries, J.S., Plant, N., Van Dongeren, A., Roelvink, J., Thompson, D., and Reniers, A., 2010, Two-dimensional time dependent hurricane overwash and erosion modeling at Santa Rosa Island: Coastal Engineering, v. 57, no. 7, p. 668-683, https://doi.org/10.1016/j.coastaleng.2010.02.006.","productDescription":"16 p.","startPage":"668","endPage":"683","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":487158,"rank":101,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://zenodo.org/record/3416273","text":"External Repository"},{"id":115737,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://dx.doi.org/10.1016/j.coastaleng.2010.02.006","linkFileType":{"id":5,"text":"html"}},{"id":204588,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"57","issue":"7","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505bb99ce4b08c986b327cbb","contributors":{"authors":[{"text":"McCall, R.T.","contributorId":54733,"corporation":false,"usgs":true,"family":"McCall","given":"R.T.","email":"","affiliations":[],"preferred":false,"id":347572,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Van Theil de Vries, J. S. M.","contributorId":71312,"corporation":false,"usgs":true,"family":"Van Theil de Vries","given":"J.","email":"","middleInitial":"S. M.","affiliations":[],"preferred":false,"id":347574,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Plant, N.G.","contributorId":94023,"corporation":false,"usgs":true,"family":"Plant","given":"N.G.","email":"","affiliations":[],"preferred":false,"id":347576,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Van Dongeren, A. R.","contributorId":55572,"corporation":false,"usgs":true,"family":"Van Dongeren","given":"A. R.","affiliations":[],"preferred":false,"id":347573,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Roelvink, J.A.","contributorId":92421,"corporation":false,"usgs":true,"family":"Roelvink","given":"J.A.","email":"","affiliations":[],"preferred":false,"id":347575,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Thompson, D.M.","contributorId":16570,"corporation":false,"usgs":true,"family":"Thompson","given":"D.M.","email":"","affiliations":[],"preferred":false,"id":347571,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Reniers, A.J.H.M.","contributorId":95612,"corporation":false,"usgs":true,"family":"Reniers","given":"A.J.H.M.","email":"","affiliations":[],"preferred":false,"id":347577,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70003456,"text":"70003456 - 2010 - Traffic effects on bird counts on North American Breeding Bird Survey routes","interactions":[],"lastModifiedDate":"2017-05-07T11:42:15","indexId":"70003456","displayToPublicDate":"2012-01-15T09:45:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3544,"text":"The Auk","onlineIssn":"1938-4254","printIssn":"0004-8038","active":true,"publicationSubtype":{"id":10}},"title":"Traffic effects on bird counts on North American Breeding Bird Survey routes","docAbstract":"The North American Breeding Bird Survey (BBS) is an annual roadside survey used to estimate population change in >420 species of birds that breed in North America. Roadside sampling has been criticized, in part because traffic noise can interfere with bird counts. Since 1997, data have been collected on the numbers of vehicles that pass during counts at each stop. We assessed the effect of traffic by modeling total vehicles as a covariate of counts in hierarchical Poisson regression models used to estimate population change. We selected species for analysis that represent birds detected at low and high abundance and birds with songs of low and high frequencies. Increases in vehicle counts were associated with decreases in bird counts in most of the species examined. The size and direction of these effects remained relatively constant between two alternative models that we analyzed. Although this analysis indicated only a small effect of incorporating traffic effects when modeling roadside counts of birds, we suggest that continued evaluation of changes in traffic at BBS stops should be a component of future BBS analyses.","language":"English","publisher":"American Ornithological Society","doi":"10.1525/auk.2009.09056","usgsCitation":"Griffith, E.H., Sauer, J., and Royle, J., 2010, Traffic effects on bird counts on North American Breeding Bird Survey routes: The Auk, v. 127, no. 2, p. 387-393, https://doi.org/10.1525/auk.2009.09056.","productDescription":"7 p.","startPage":"387","endPage":"393","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":475506,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1525/auk.2009.09056","text":"Publisher Index Page"},{"id":204571,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","volume":"127","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505bb6b1e4b08c986b326e0a","contributors":{"authors":[{"text":"Griffith, Emily H.","contributorId":70108,"corporation":false,"usgs":true,"family":"Griffith","given":"Emily","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":347343,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sauer, John R. jrsauer@usgs.gov","contributorId":3737,"corporation":false,"usgs":true,"family":"Sauer","given":"John R.","email":"jrsauer@usgs.gov","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":false,"id":347342,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Royle, J. Andrew 0000-0003-3135-2167","orcid":"https://orcid.org/0000-0003-3135-2167","contributorId":80808,"corporation":false,"usgs":true,"family":"Royle","given":"J. Andrew","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":347344,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70003734,"text":"70003734 - 2010 - Thresholds in forest bird occurrence as a function of the amount of early-seral broadleaf forest at landscape scales","interactions":[],"lastModifiedDate":"2012-02-02T00:16:02","indexId":"70003734","displayToPublicDate":"2012-01-08T15:30:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1450,"text":"Ecological Applications","active":true,"publicationSubtype":{"id":10}},"title":"Thresholds in forest bird occurrence as a function of the amount of early-seral broadleaf forest at landscape scales","docAbstract":"Recent declines in broadleaf-dominated, early-seral forest globally as a function of intensive forest management and/or fire suppression have raised concern about the viability of populations dependent on such forest types. However, quantitative information about the strength and direction of species associations with broadleaf cover at landscape scales are rare. Uncovering such habitat relationships is essential for understanding the demography of species and in developing sound conservation strategies. It is particularly important to detect points in habitat reduction where rates of population decline may accelerate or the likelihood of species occurrence drops rapidly (i.e., thresholds). Here, we use a large avian point-count data set (<i>N</i> = 4375) from southwestern and northwestern Oregon along with segmented logistic regression to test for thresholds in forest bird occurrence as a function of broadleaf forest and early-seral broadleaf forest at local (150-m radius) and landscape (500&ndash;2000-m radius) scales. All 12 bird species examined showed positive responses to either broadleaf forest in general, and/or early-seral broadleaf forest. However, regional variation in species response to these conditions was high. We found considerable evidence for landscape thresholds in bird species occurrence as a function of broadleaf cover; threshold models received substantially greater support than linear models for eight of 12 species. Landscape thresholds in broadleaf forest ranged broadly from 1.35% to 24.55% mean canopy cover. Early-seral broadleaf thresholds tended to be much lower (0.22&ndash;1.87%). We found a strong negative relationship between the strength of species association with early-seral broadleaf forest and 42-year bird population trends; species most associated with this forest type have declined at the greatest rates. Taken together, these results provide the first support for the hypothesis that reductions in broadleaf-dominated early-seral forest due to succession and intensive forest management have led to population declines of constituent species in the Pacific northwestern United States. Forest management treatments that maintain or restore even small amounts of broadleaf vegetation could mitigate further declines.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Ecological Applications","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Ecological Society of America","publisherLocation":"Ithaca, NY","doi":"10.1890/09-1305.1","usgsCitation":"Betts, M., Hagar, J., Rivers, J., Alexander, J., McGarigal, K., and McComb, B., 2010, Thresholds in forest bird occurrence as a function of the amount of early-seral broadleaf forest at landscape scales: Ecological Applications, v. 20, no. 8, p. 2116-2130, https://doi.org/10.1890/09-1305.1.","productDescription":"15 p.","startPage":"2116","endPage":"2130","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":112480,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://dx.doi.org/10.1890/09-1305.1","linkFileType":{"id":5,"text":"html"}},{"id":204275,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Oregon","volume":"20","issue":"8","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505bb355e4b08c986b325d1e","contributors":{"authors":[{"text":"Betts, M.G.","contributorId":58386,"corporation":false,"usgs":true,"family":"Betts","given":"M.G.","email":"","affiliations":[],"preferred":false,"id":348576,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hagar, J.C.","contributorId":46208,"corporation":false,"usgs":true,"family":"Hagar","given":"J.C.","affiliations":[],"preferred":false,"id":348575,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rivers, J.W.","contributorId":63151,"corporation":false,"usgs":true,"family":"Rivers","given":"J.W.","email":"","affiliations":[],"preferred":false,"id":348577,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Alexander, J.D.","contributorId":16562,"corporation":false,"usgs":true,"family":"Alexander","given":"J.D.","email":"","affiliations":[],"preferred":false,"id":348574,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"McGarigal, K.","contributorId":7831,"corporation":false,"usgs":true,"family":"McGarigal","given":"K.","email":"","affiliations":[],"preferred":false,"id":348573,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"McComb, B.C.","contributorId":102196,"corporation":false,"usgs":true,"family":"McComb","given":"B.C.","email":"","affiliations":[],"preferred":false,"id":348578,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70003501,"text":"70003501 - 2010 - Thermochronology and tectonics of the Leeward Antilles: Evolution of the southern Caribbean Plate boundary zone","interactions":[],"lastModifiedDate":"2012-02-10T00:12:01","indexId":"70003501","displayToPublicDate":"2012-01-08T14:13:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3524,"text":"Tectonics","active":true,"publicationSubtype":{"id":10}},"title":"Thermochronology and tectonics of the Leeward Antilles: Evolution of the southern Caribbean Plate boundary zone","docAbstract":"Tectonic reconstructions of the Caribbean Plate are severely hampered by a paucity of geochronologic and exhumation constraints from anastomosed basement blocks along its southern margin. New U/Pb, <sup>40</sup>Ar/<sup>39</sup>Ar, apatite fission track, and apatite (U-Th)/He data constrain quantitative thermal and exhumation histories, which have been used to propose a model for the tectonic evolution of the emergent parts of the Bonaire Block and the southern Caribbean Plate boundary zone. An east facing arc system intruded through an oceanic plateau during ~90 to ~87 Ma and crops out on Aruba. Subsequent structural displacements resulted in >80&deg;C of cooling on Aruba during 70&ndash;60 Ma. In contrast, exhumation of the island arc sequence exposed on Bonaire occurred at 85&ndash;80 Ma and 55&ndash;45 Ma. Santonian exhumation on Bonaire occurred immediately subsequent to burial metamorphism and may have been driven by the collision of a west facing island arc with the Caribbean Plate. Island arc rocks intruded oceanic plateau rocks on Gran Roque at ~65 Ma and exhumed rapidly at 55&ndash;45 Ma. We attribute Maastrichtian-Danian exhumation on Aruba and early Eocene exhumation on Bonaire and Gran Roque to sequential diachronous accretion of their basement units to the South American Plate. Widespread unconformities indicate late Eocene subaerial exposure. Late Oligocene&ndash;early Miocene dextral transtension within the Bonaire Block drove subsidence and burial of crystalline basement rocks of the Leeward Antilles to &le;1 km. Late Miocene&ndash;recent transpression caused inversion and &le;1 km of exhumation, possibly as a result of the northward escape of the Maracaibo Block.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Tectonics","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"American Geophysical Union","publisherLocation":"Washington, D.C.","usgsCitation":"van der Lelij, R., Spikings, R.A., Kerr, A.C., Kounov, A., Cosca, M., Chew, D., and Villagomez, D., 2010, Thermochronology and tectonics of the Leeward Antilles: Evolution of the southern Caribbean Plate boundary zone: Tectonics, v. 29, no. TC6003, 30 p.","productDescription":"30 p.","numberOfPages":"30","onlineOnly":"Y","costCenters":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"links":[{"id":204241,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":112477,"rank":300,"type":{"id":11,"text":"Document"},"url":"https://pages.unibas.ch/earth/tecto/Members/Kounov/Downloads/van_der_Lelij_et_al_2010_(Tectonics).pdf","linkFileType":{"id":1,"text":"pdf"}}],"otherGeospatial":"Caribbean Plate","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -95,-5 ], [ -95,24 ], [ -54,24 ], [ -54,-5 ], [ -95,-5 ] ] ] } } ] }","volume":"29","issue":"TC6003","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505bb26ae4b08c986b3257b5","contributors":{"authors":[{"text":"van der Lelij, Roelant","contributorId":67777,"corporation":false,"usgs":true,"family":"van der Lelij","given":"Roelant","email":"","affiliations":[],"preferred":false,"id":347543,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Spikings, Richard A.","contributorId":92546,"corporation":false,"usgs":true,"family":"Spikings","given":"Richard","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":347545,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kerr, Andrew C.","contributorId":21828,"corporation":false,"usgs":true,"family":"Kerr","given":"Andrew","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":347541,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kounov, Alexandre","contributorId":101945,"corporation":false,"usgs":true,"family":"Kounov","given":"Alexandre","email":"","affiliations":[],"preferred":false,"id":347546,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Cosca, Michael 0000-0002-0600-7663","orcid":"https://orcid.org/0000-0002-0600-7663","contributorId":33043,"corporation":false,"usgs":true,"family":"Cosca","given":"Michael","affiliations":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":347542,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Chew, David","contributorId":68172,"corporation":false,"usgs":true,"family":"Chew","given":"David","email":"","affiliations":[],"preferred":false,"id":347544,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Villagomez, Diego","contributorId":106381,"corporation":false,"usgs":true,"family":"Villagomez","given":"Diego","email":"","affiliations":[],"preferred":false,"id":347547,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70003902,"text":"70003902 - 2010 - Flying over an infected landscape: Distribution of highly pathogenic avian influenza H5N1 risk in South Asia and satellite tracking of wild waterfowl","interactions":[],"lastModifiedDate":"2017-08-30T11:49:52","indexId":"70003902","displayToPublicDate":"2012-01-01T16:14:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1443,"text":"EcoHealth","active":true,"publicationSubtype":{"id":10}},"title":"Flying over an infected landscape: Distribution of highly pathogenic avian influenza H5N1 risk in South Asia and satellite tracking of wild waterfowl","docAbstract":"Highly pathogenic avian influenza (HPAI) H5N1 virus persists in Asia, posing a threat to poultry, wild birds, and humans. Previous work in Southeast Asia demonstrated that HPAI H5N1 risk is related to domestic ducks and people. Other studies discussed the role of migratory birds in the long distance spread of HPAI H5N1. However, the interplay between local persistence and long-distance dispersal has never been studied. We expand previous geospatial risk analysis to include South and Southeast Asia, and integrate the analysis with migration data of satellite-tracked wild waterfowl along the Central Asia flyway. We find that the population of domestic duck is the main factor delineating areas at risk of HPAI H5N1 spread in domestic poultry in South Asia, and that other risk factors, such as human population and chicken density, are associated with HPAI H5N1 risk within those areas. We also find that satellite tracked birds (Ruddy Shelduck and two Bar-headed Geese) reveal a direct spatio-temporal link between the HPAI H5N1 hot-spots identified in India and Bangladesh through our risk model, and the wild bird outbreaks in May,June,July 2009 in China(Qinghai Lake), Mongolia, and Russia. This suggests that the continental-scale dynamics of HPAI H5N1 are structured as a number of persistence areas delineated by domestic ducks, connected by rare transmission through migratory waterfowl.","language":"English","publisher":"Springer","publisherLocation":"Amsterdam, Netherlands","doi":"10.1007/s10393-010-0672-8","usgsCitation":"Gilbert, M., Newman, S.H., Takekawa, J.Y., Loth, L., Biradar, C., Prosser, D.J., Balachandran, S., Rao, M.V., Mundkur, T., Yan, B., Xing, Z., Hou, Y., Batbayar, N., Tseveenmayadag, N., Hogerwerf, L., Slingenbergh, J., and Xiao, X., 2010, Flying over an infected landscape: Distribution of highly pathogenic avian influenza H5N1 risk in South Asia and satellite tracking of wild waterfowl: EcoHealth, v. 7, no. 4, p. 448-458, https://doi.org/10.1007/s10393-010-0672-8.","productDescription":"11 p.","startPage":"448","endPage":"458","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":475512,"rank":10000,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s10393-010-0672-8","text":"Publisher Index Page"},{"id":257581,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":257578,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s10393-010-0672-8","linkFileType":{"id":5,"text":"html"}}],"otherGeospatial":"Asia","volume":"7","issue":"4","noUsgsAuthors":false,"publicationDate":"2011-01-26","publicationStatus":"PW","scienceBaseUri":"505a12aae4b0c8380cd543c1","contributors":{"authors":[{"text":"Gilbert, Marius","contributorId":61148,"corporation":false,"usgs":true,"family":"Gilbert","given":"Marius","email":"","affiliations":[],"preferred":false,"id":349392,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Newman, Scott H.","contributorId":101372,"corporation":false,"usgs":true,"family":"Newman","given":"Scott","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":349401,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Takekawa, John Y. 0000-0003-0217-5907 john_takekawa@usgs.gov","orcid":"https://orcid.org/0000-0003-0217-5907","contributorId":176168,"corporation":false,"usgs":true,"family":"Takekawa","given":"John","email":"john_takekawa@usgs.gov","middleInitial":"Y.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":false,"id":349386,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Loth, Leo","contributorId":65710,"corporation":false,"usgs":true,"family":"Loth","given":"Leo","email":"","affiliations":[],"preferred":false,"id":349394,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Biradar, Chandrashekhar","contributorId":30863,"corporation":false,"usgs":true,"family":"Biradar","given":"Chandrashekhar","affiliations":[],"preferred":false,"id":349389,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Prosser, Diann J. 0000-0002-5251-1799 dprosser@usgs.gov","orcid":"https://orcid.org/0000-0002-5251-1799","contributorId":2389,"corporation":false,"usgs":true,"family":"Prosser","given":"Diann","email":"dprosser@usgs.gov","middleInitial":"J.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":349387,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Balachandran, Sivananinthaperumal","contributorId":20593,"corporation":false,"usgs":true,"family":"Balachandran","given":"Sivananinthaperumal","affiliations":[],"preferred":false,"id":349388,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Rao, Mandava Venkata 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