Skip to Main Content
Mapping functional connectivityAuthor(s): Peter Vogt; Joseph R. Ferrari; Todd R. Lookingbill; Robert H. Gardner; Kurt H. Riitters; Katarzyna Ostapowicz
Source: Ecological Indicators, Vol. 9: 64-71
Publication Series: Miscellaneous Publication
PDF: View PDF (1.13 MB)
DescriptionAn objective and reliable assessment of wildlife movement is important in theoretical and applied ecology. The identification and mapping of landscape elements that may enhance functional connectivity is usually a subjective process based on visual interpretations of species movement patterns. New methods based on mathematical morphology provide a generic, flexible, and automated approach for the definition of indicators based on the classification and mapping of spatial patterns of connectivity from observed or simulated movement and dispersal events. The approach is illustrated with data derived from simulated movement on a map produced from satellite imagery of a structurally complex, multi-habitat landscape. The analysis reveals critical areas that facilitate the movement of dispersers among habitat patches. Mathematical morphology can be applied to any movement map providing new insights into pattern-process linkages in multi-habitat landscapes.
- You may send email to email@example.com to request a hard copy of this publication.
- (Please specify exactly which publication you are requesting and your mailing address.)
- 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.
CitationVogt, Peter; Ferrari, Joseph R.; Lookingbill, Todd R.; Gardner, Robert H.; Riitters, Kurt H.; Ostapowicz, Katarzyna. 2009. Mapping functional connectivity. Ecological Indicators, Vol. 9: 64-71
- Mapping functional connectivity
- Estimating effective landscape distances and movement corridors: Comparison of habitat and genetic data
- Use of empirically derived source-destination models to map regional conservation corridors
XML: View XML