@article{fdi:010064036,
  title = {{E}xtending networks of protected areas to optimize connectivity and population growth rate},
  author = {{A}ndrello, {M}arco and {J}acobi, {M}. {N}. and {M}anel, {S}. and {T}huiller, {W}. and {M}ouillot, {D}.},
  editor = {},
  language = {{ENG}},
  abstract = {{P}rotected areas ({PA}s) are recognized as the flagship tool to offset biodiversity loss on {E}arth. {S}patial conservation planning seeks optimal designs of {PA}s that meet multiple targets such as biodiversity representation and population persistence. {S}ince connectivity between {PA}s is a fundamental requirement for population persistence, several methods have been developed to include connectivity into {PA} design algorithms. {A}mong 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. {S}o far, this method was only suited to optimize an entire network of {PA}s without considering existing {PA}s in the new design. {H}owever, a more cost-effective and realistic approach is to optimize the design of an extended network to improve its connectivity and thus population persistence. {H}ere, we develop a flexible algorithm based on eigenvalue decomposition of connectivity matrices to extend existing networks of {PA}s while optimizing connectivity and population growth rate. {W}e also include a splitting algorithm to improve cluster identification. {T}he new algorithm accounts for the change in connectivity due to the increased biological productivity often observed in existing {PA}s. {W}e illustrate the potential of our algorithm by proposing an extension of the network of approximate to 100 {M}editerranean marine {PA}s to reach the targeted 10% surface area protection from the current 1.8%. {W}e 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 {PA}s are forced to be included into the optimized solution. {B}y 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.},
  keywords = {{MEDITERRANEE}},
  booktitle = {},
  journal = {{E}cography},
  volume = {38},
  numero = {3},
  pages = {273--282},
  ISSN = {0906-7590},
  year = {2015},
  DOI = {10.1111/ecog.00975},
  URL = {https://www.documentation.ird.fr/hor/fdi:010064036},
}