Journal
LANDSCAPE AND URBAN PLANNING
Volume 101, Issue 4, Pages 310-320Publisher
ELSEVIER SCIENCE BV
DOI: 10.1016/j.landurbplan.2011.02.036
Keywords
Landscape ecology; Landscape connectivity; Probability of connectivity; Graph theory; Conefor Sensinode; Eco-regional planning
Categories
Funding
- Department of Education, Universities and Research of the Basque Government [IT317-10]
- Spanish Ministry of Science and Innovation [AGL2009-07140, CSD2008-00040]
- AGAUR
- Catalan Government
- European Social Fund
Ask authors/readers for more resources
The connectivity of protected area networks depends on key elements located in strategic positions within the landscape, which uphold the ecological fluxes and sustain the diversity and longterm viability of native biota. Landscape planning requires objective and quantitative approaches to identify those key elements and reinforce the spatial coherence of protected area designs and related conservation schemes. With this objective, we apply for the first time recent methodological developments that, deriving from the probability of connectivity index, allow evaluating the role of both individual protected areas and links in the intermediate landscape matrix as providers of connectivity between the rest of the sites in the network. We focus on a case study covering the forest protected areas from the Cantabrian Range to the Western Alps (N Spain, S France and NW Italy), considering different dispersal distances and the impact of highways. We show how the proposed approach is useful to identify those protected areas and links that most contribute to uphold functional connectivity in this transnational network, as well as those road sectors where the defragmentation and barrier effect mitigation measures should be prioritized. We compare our results with other more qualitative and expert-based approaches that have been reported in the same area. The methodological approach could be easily adopted in a variety of other related landscape planning applications at different scales, with the required quantitative tools being available as free and open source software packages. (C) 2011 Elsevier B.V. All rights reserved.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available