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Publication Information

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Title: UNICOR Users Manual

Author: Landguth, E. L.; Hand, B. K.; Glassy, J. M.; Cushman, S. A.; Carlson, R. T.

Date: 2011

Source: Missoula, MT: University of Montana, Division of Biological Sciences, Computational Ecology Laboratory. 14 p. Online: http://cel.dbs.umt.edu/cms/index.php/software/unicor

Publication Series: Journal/Magazine Article (JRNL)

Description: Habitat loss and its effects on populations of vulnerable species is among the most urgent problems in conservation ecology. It is critical that managers and scientists have effective tools to evaluate the effects of landuse and climate change on the extent and connectivity of populations. To address this need, we introduce UNIversal CORridor network simulator (UNICOR), a species connectivity and corridor identification tool. UNICOR applies Dijkstra's shortest path algorithm to individual-based simulations. Outputs can be used to designate movement corridors, identify isolated populations, quantify effects of climate and management changes on population connectivity and prioritize conservation plans to maintain population connectivity. The key features include a driver-module framework, connectivity mapping with thresholding and buffering, and calculation of graph theory metrics. Through parallel-processing, computational efficiency is greatly improved, allowing analyses of large extents (grid dimensions of thousands) and large populations (individuals in the thousands).

Keywords: UNIversal CORridor network simulator (UNICOR), habitat loss, species connectivity, corridor identification

Publication Notes:

  • We recommend that you also print this page and attach it to the printout of the article, to retain the full citation information.
  • This article was written and prepared by U.S. Government employees on official time, and is therefore in the public domain.

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Citation:


Landguth, E. L.; Hand, B. K.; Glassy, J. M.; Cushman, S. A.; Carlson, R. T. 2011. UNICOR Users Manual. Missoula, MT: University of Montana, Division of Biological Sciences, Computational Ecology Laboratory. 14 p. Online: http://cel.dbs.umt.edu/cms/index.php/software/unicor

 


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