Extending networks of protected areas to optimize connectivity and population growth rate
Artikel i vetenskaplig tidskrift, 2015

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.

Författare

[Person 47633048-46bc-4c07-a3f4-87e1ced0d828 not found]

Laboratoire Population-Environnement-Developpement

Centre national de la recherche scientifique (CNRS)

Laboratoire d'Écologie Alpine

Université Grenoble Alpes

[Person b5dd5830-50c1-401f-b1a6-00d0d5528358 not found]

Chalmers, Energi och miljö, Fysisk resursteori

[Person f8336fb1-95e5-4f4a-bca4-cb56c6b79f7a not found]

CIRAD Centre de Recherche de Montpellier

Laboratoire Population-Environnement-Developpement

[Person 515a0923-7540-49cb-9a5d-7222d372d25c not found]

Université Grenoble Alpes

Centre national de la recherche scientifique (CNRS)

[Person 89d5e60a-27d1-4cd5-87c5-ef307d1f8e70 not found]

Université de Montpellier

James Cook University, Australia

Ecography

0906-7590 (ISSN)

Vol. 38 3 273-282

Ämneskategorier

Bioinformatik och systembiologi

DOI

10.1111/ecog.00975

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Senast uppdaterat

2018-09-07