Biological corridors and connectivity

Samuel A. Cushman, Brad Mcrae, Frank Adriaensen, Paul Beier, Mark Shirley, Kathy Zeller

Research output: Chapter in Book/Report/Conference proceedingChapter

147 Scopus citations


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.

Original languageEnglish (US)
Title of host publicationKey Topics in Conservation Biology 2
PublisherJohn Wiley and Sons
Number of pages21
ISBN (Print)9780470658765
StatePublished - Feb 25 2013


  • Connectivity modelling
  • Graph theory
  • Landscape resistance
  • Least-cost (LC) modelling
  • Population connectivity
  • Quantitative corridor
  • Wildlife populations

ASJC Scopus subject areas

  • General Agricultural and Biological Sciences
  • General Environmental Science
  • General Biochemistry, Genetics and Molecular Biology
  • General Medicine


Dive into the research topics of 'Biological corridors and connectivity'. Together they form a unique fingerprint.

Cite this