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Biological corridors and connectivity
Abstract
The goal of this chapter is to describe the state of the art in quantitative corridor and connectivity modelling. It reviews several critical issues in modelling, and provides expert guidance and examples to help practitioners implement effective programmes to preserve, enhance or create connectivity among wildlife populations. It first reviews the fundamental task of estimating landscape resistance, comparing expert opinion and empirical methods. Next, it describes current methods of predicting connectivity from resistance surfaces. It concludes with discussion of how effectively to validate connectivity model predictions. In recent years least-cost (LC) modelling has become the dominant modelling tool to evaluate functional landscape connectivity, especially in applied studies. Advances in computing have allowed applications of graph algorithms to continuous landscapes instead of simple networks. Circuit and LC models represent two extremes in assumptions about movement and connectivity. A promising graph-theoretic approach to connectivity modelling is centrality analysis.
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GIS technologies and least-cost analysis tools such as Linkage Mapper and Circuitscape have demonstrated potential in diverse fields, from biodiversity conservation to ecological networks.
“GIS technologies and least-cost analysis tools, such as Linkage Mapper [19] and Circuitscape [20], have demonstrated their potential in diverse fields, from biodiversity conservation to the study of ecological networks [21–25].”
From Tracing neanderthal mobility through the romanian carpathians: a GIS-based least-cost connectivity model (2025) · cites this paper as [24]
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USING CIRCUIT THEORY TO MODEL CONNECTIVITY IN ECOLOGY, EVOLUTION, AND CONSERVATION
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Self-citationComparative evaluation of experimental approaches to the study of habitat fragmentation effects
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The electrical resistance of a graph captures its commute and cover times
Chandra, A. K., Raghavan, P., Ruzzo, W. L., Smolensky, R., & Tiwari, P. (1996) · Computational Complexity · doi:10.1007/bf01270385 · Cited by 328
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“Wildlife corridor planning has emerged as essential for maintaining connectivity among protected areas and ensuring viable dispersal pathways for species [7, 18, 34].”
Metadata
- Authors
- Cushman, S. A., McRae, B., Adriaensen, F., Beier, P., Shirley, M., & Zeller, K.
- Venue
- Key Topics in Conservation Biology 2
- Publisher
- Wiley
- Published
- 2013-02-25
- Pages
- 384-404
- Cited by
- 179
- References
- 4
- Language
- en
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