Display Settings:

Format

Send to:

Choose Destination
We are sorry, but NCBI web applications do not support your browser and may not function properly. More information
    Proc Natl Acad Sci U S A. 2007 Dec 11;104(50):19885-90. Epub 2007 Dec 3.

    Circuit theory predicts gene flow in plant and animal populations.

    Source

    National Center for Ecological Analysis and Synthesis, 735 State Street, Suite 300, Santa Barbara, CA 93101, USA. mcrae@nceas.ucsb.edu

    Abstract

    Maintaining connectivity for broad-scale ecological processes like dispersal and gene flow is essential for conserving endangered species in fragmented landscapes. However, determining which habitats should be set aside to promote connectivity has been difficult because existing models cannot incorporate effects of multiple pathways linking populations. Here, we test an ecological connectivity model that overcomes this obstacle by borrowing from electrical circuit theory. The model vastly improves gene flow predictions because it simultaneously integrates all possible pathways connecting populations. When applied to data from threatened mammal and tree species, the model consistently outperformed conventional gene flow models, revealing that barriers were less important in structuring populations than previously thought. Circuit theory now provides the best-justified method to bridge landscape and genetic data, and holds much promise in ecology, evolution, and conservation planning.

    PMID:
    18056641
    [PubMed - indexed for MEDLINE]
    PMCID:
    PMC2148392
    Free PMC Article

    Images from this publication.See all images (3)Free text

    Fig. 1.
    Fig. 2.
    Fig. 3.

      Supplemental Content

      Icon for HighWire Icon for PubMed Central

      Save items

      Recent activity

      Your browsing activity is empty.

      Activity recording is turned off.

      Turn recording back on

      See more...
      Write to the Help Desk