B
Blair Csuti
Researcher at University of Idaho
Publications - 16
Citations - 2812
Blair Csuti is an academic researcher from University of Idaho. The author has contributed to research in topics: Biodiversity & Endangered species. The author has an hindex of 12, co-authored 16 publications receiving 2715 citations.
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Gap analysis: a geographic approach to protection of biological diversity
J. Michael Scott,Frank W. Davis,Blair Csuti,Reed F. Noss,Craig Groves,Hal Anderson,Steve Caicco,Thomas C. Edwards,Joe Ulliman,R. Gerald Wright +9 more
TL;DR: Gap analysis as discussed by the authors identifies the gaps in representation of biological diversity (biodiversity) in areas managed exclusively or primarily for the longterm maintenance of populations of native species and natural ecosystems (hereinafter referred to as biodiversity management areas).
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Where to put things? Spatial land management to sustain biodiversity and economic returns
Stephen Polasky,Erik J. Nelson,Jeffrey D. Camm,Blair Csuti,Paul L. Fackler,Eric V. Lonsdorf,Claire A. Montgomery,Denis White,Jeff Arthur,Brian Garber-Yonts,Robert G. Haight,Jimmy Kagan,Anthony M. Starfield,Claudine Tobalske +13 more
TL;DR: In this article, a spatially explicit landscape-level model for analyzing the biological and economic consequences of alternative land-use patterns is developed, incorporating habitat preferences, area requirements and dispersal ability between habitat patches for terrestrial vertebrate species to predict the likely number of species that will be sustained on the landscape.
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A comparison of reserve selection algorithms using data on terrestrial vertebrates in Oregon
Blair Csuti,Stephen Polasky,Paul H. Williams,Robert L. Pressey,Jeffrey D. Camm,Melanie Kershaw,A. Ross Kiester,Brian T. Downs,Richard Hamilton,Manuela M. P. Huso,Kevin Sahr +10 more
TL;DR: The near-optimality, speed and simplicity of heuristic algorithms suggests that they are acceptable alternatives for many reserve selection problems, especially when dealing with large data sets or complicated analyses.
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Species RichnessA geographic approach to protecting future biological diversity
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A note on optimal algorithms for reserve site selection
TL;DR: This note gives the mathematical formulation of what Underhill terms ‘the more realistic’ version of the reserve selection problem, namely, the problem of maximizing the number of species preserved given a fixed budget for reserve sites.