Title :

Can We Avoid Tacit Trade-Offs between Flexibility and Efficiency in Systematic Conservation Planning? The Mediterranean Sea as a Case Study

Author(s) :

Drira, Sabrine [Auteur]
MARine Biodiversity Exploitation and Conservation [UMR MARBEC]
Institut National de la Recherche Agronomique de Tunisie [INRAT]
Ben Rais Lasram, Frida [Auteur]
Université du Littoral Côte d'Opale [ULCO]
Laboratoire d’Océanologie et de Géosciences (LOG) - UMR 8187 [LOG]
Hattab, Tarek [Auteur]
MARine Biodiversity Exploitation and Conservation [UMR MARBEC]
Shin, Yunne-Jai [Auteur]
MARine Biodiversity Exploitation and Conservation [UMR MARBEC]
Ben Rejeb Jenhani, Amel [Auteur]
Institut National Agronomique de Tunisie [INAT]
Guilhaumon, Francois [Auteur]
Ecologie marine tropicale dans les Océans Pacifique et Indien [ENTROPIE [Réunion]]
MARine Biodiversity Exploitation and Conservation [UMR MARBEC]

Journal title :

DIVERSITY-BASEL

Pages :

9

Publication date :

2021-12-24

English keyword(s) :

Efficiency
Species distribution models
Distributions
Uncertainties
Biodiversity loss
Prioritization
Exact optimization
Flexibility
Heuristics
Optimality
Protected area network
Algorithms
Mediterranean Sea
Fish
Climate-change
Diversity
Systematic conservation planning

HAL domain(s) :

Sciences de l'environnement/Biodiversité et Ecologie
Sciences de l'environnement/Milieux et Changements globaux

English abstract : [en]

Species distribution models (SDMs) provide robust inferences about species-specific site suitability and are increasingly used in systematic conservation planning (SCP). SDMs are subjected to intrinsic uncertainties, and ...
Show more >Species distribution models (SDMs) provide robust inferences about species-specific site suitability and are increasingly used in systematic conservation planning (SCP). SDMs are subjected to intrinsic uncertainties, and conservation studies have generally overlooked these. The integration of SDM uncertainties in conservation solutions requires the development of a suitable optimization algorithm. Exact optimization algorithms grant efficiency to conservation solutions, but most of their implementations generate a single binary and indivisible solution. Therefore, without variation in their parameterization, they provide low flexibility in the implementation of conservation solutions by stakeholders. Contrarily, heuristic algorithms provide such flexibility, by generating large amounts of sub-optimal solutions. As a consequence, efficiency and flexibility are implicitly linked in conservation applications: mathematically efficient solutions provide less flexibility, and the flexible solutions provided by heuristics are sub-optimal. To avoid this trade-off between flexibility and efficiency in SCP, we propose a reserve-selection framework, based on exact optimization combined with a post-selection of SDM outputs. This reserve-selection framework provides flexibility and addresses the efficiency and representativeness of conservation solutions. To exemplify the approach, we analyzed an experimental design, crossing pre- and post-selection of SDM outputs versus heuristics and exact mathematical optimizations. We used the Mediterranean Sea as a biogeographical template for our analyses, integrating the outputs of eight SDM techniques for 438 fish species.Show less >

Language :

Anglais

Popular science :

Non

Comment :

WOS:000747672300001

Collections :

• Laboratoire d'Océanologie et de Géosciences (LOG) - UMR 8187

Source :

Harvested from HAL