Extending networks of protected areas to optimize connectivity and population growth rate

Andrello, Marco, Jacobi, Martin Nilsson, Manel, Stéphanie, Thuiller, Wilfried, and Mouillot, David (2015) Extending networks of protected areas to optimize connectivity and population growth rate. Ecography, 38 (3). pp. 273-282.

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Protected areas (PAs) are recognized as the flagship tool to offset biodiversity loss on Earth. Spatial conservation planning seeks optimal designs of PAs that meet multiple targets such as biodiversity representation and population persistence. Since connectivity between PAs is a fundamental requirement for population persistence, several methods have been developed to include connectivity into PA design algorithms. Among these, the eigenvalue decomposition of the connectivity matrix allows for identifying clusters of strongly connected sites and selecting the sites contributing the most to population persistence. So far, this method was only suited to optimize an entire network of PAs without considering existing PAs in the new design. However, a more cost-effective and realistic approach is to optimize the design of an extended network to improve its connectivity and thus population persistence. Here, we develop a flexible algorithm based on eigenvalue decomposition of connectivity matrices to extend existing networks of PAs while optimizing connectivity and population growth rate. We also include a splitting algorithm to improve cluster identification. The new algorithm accounts for the change in connectivity due to the increased biological productivity often observed in existing PAs. We illustrate the potential of our algorithm by proposing an extension of the network of approximate to 100 Mediterranean marine PAs to reach the targeted 10% surface area protection from the current 1.8%. We identify differences between the clean slate scenario, where all sites are available for protection, irrespective of their current protection status, and the scenario where existing PAs are forced to be included into the optimized solution. By integrating this algorithm to existing multi-objective and multi-specific algorithms of PA selection, the demographic effects of connectivity can be explicitly included into conservation planning.

Item ID: 41996
Item Type: Article (Research - C1)
ISSN: 1600-0587
Funders: Groupe de Mission Mercator Coriolis (GMMC), Centre National de la Recherche Scientifique (CNRS), Grand Equipement National de Calcul Intensif (GENCI), Calcul Intensif / Modélisation / Expérimentation Numérique et Technologique (CIMENT), France-Grille (FG), Fondation pour la Recherche sur la Biodiversité (FRB), Fondation Total (FT), Labex OSUG@2020 , Institut Universitaire de France (IUF)
Projects and Grants: CNRS Project 010227, CIMENT grant CPER07_13 , FT project Fishconnect, Labex ANR10 LABX56
Date Deposited: 08 Dec 2015 18:28
FoR Codes: 05 ENVIRONMENTAL SCIENCES > 0502 Environmental Science and Management > 050205 Environmental Management @ 100%
SEO Codes: 96 ENVIRONMENT > 9606 Environmental and Natural Resource Evaluation > 960604 Environmental Management Systems @ 100%
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