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Mapping functional connectivity
Open accessAbstract
An 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.
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Citations
Cited by
Dai, L., Liu, Y., & Luo, X. (2021) · Science of The Total Environment · doi:10.1016/j.scitotenv.2020.141868 · Cited by 357
A software tool dedicated to the modelling of landscape networks
Foltête, J.-C., Clauzel, C., & Vuidel, G. (2012) · Environmental Modelling & Software · doi:10.1016/j.envsoft.2012.07.002 · Cited by 274
Validation of functional connectivity modeling: The Achilles’ heel of landscape connectivity mapping
Laliberté, J., & St-Laurent, M.-H. (2020) · Landscape and Urban Planning · doi:10.1016/j.landurbplan.2020.103878 · Cited by 86
Tang, F., Zhou, X., Wang, L., Zhang, Y., Fu, M., & Zhang, P. (2021) · Land · doi:10.3390/land10090919 · Cited by 54
Wade, A. A., McKelvey, K. S., & Schwartz, M. K. (2015) · doi:10.2737/rmrs-gtr-333 · Cited by 51
Metadata
- Authors
- Vogt, P., Ferrari, J. R., Lookingbill, T. R., Gardner, R. H., Riitters, K. H., & Ostapowicz, K.
- Venue
- Ecological Indicators
- Publisher
- Elsevier BV
- Published
- 2009-01
- Volume
- 9
- Issue
- 1
- Pages
- 64-71
- ISSN
- 1470-160X (ISSN-L)
- OpenAlex
- W2058767877
- Cited by
- 276
- References
- 0
- FWCI
- 5.37
- Type
- journal article
- Language
- en
- Open access
- green
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- CoChat. (2026). Citation check: Mapping functional connectivity. https://app.cochat.ai/papers/10.1016/j.ecolind.2008.01.011
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- Vogt, P., Ferrari, J. R., Lookingbill, T. R., Gardner, R. H., Riitters, K. H., & Ostapowicz, K. (2009). Mapping functional connectivity. Ecological Indicators. https://doi.org/10.1016/j.ecolind.2008.01.011
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
