Circuitscape: A Tool for Landscape Ecology

The modeling of ecological connectivity across networks and landscapes is an active research area that spans the disciplines of ecology, conservation, and population genetics. Recently, concepts and algorithms from electrical circuit theory have been adapted to address these problems. The approach is based on linkages between circuit and random walk theories, and has several advantages over previous analytic approaches, including incorporation of multiple dispersal pathways into analyses. Here we describe Circuitscape, a computational tool developed for modeling landscape connectivity using circuit theory. Our Python implementation can quickly solve networks with millions of nodes, or landscapes with millions of raster cells.

• Publication year

  2008

• Venue

  Proceedings of the Python in Science Conference

• Publication date

  2008-06-28

• Fields of study

  Biology, Geography, Computer Science, Environmental Science

• Identifiers
  DOI 10.25080/ewdj4033
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

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