FN Archimer Export Format
PT J
TI Can We Avoid Tacit Trade-Offs between Flexibility and Efficiency in Systematic Conservation Planning? The Mediterranean Sea as a Case Study
BT 
AF Drira, Sabrine
   Ben Rais Lasram, Frida
   Hattab, Tarek
   Shin, Yunne-Jai
   Ben Rejeb Jenhani, Amel
   Guilhaumon, François
AS 1:1,6;2:3;3:2;4:6;5:5;6:5,6;
FF 1:;2:;3:PDG-RBE-MARBEC-LHM;4:;5:;6:;
C1 Laboratoire de Recherche Ecosystèmes et Ressources Aquatiques (LR21AGR01), Institut National Agronomique de Tunisie, Université de Carthage, 43 Avenue Charles-Nicoles, Tunis-Mahrajène 1082, Tunisia
   MARBEC, IRD-CNRS-IFREMER-UM, Université de Montpellier, 34095 Montpellier, France
   Université Littoral Côte d’Opale, Université Lille, CNRS, IRD, UMR 8187, LOG, Laboratoire d’Océanologie et de Géosciences, 62930 Wimereux, France
   Laboratoire Ecosystèmes, Ressources Aquatiques et Animales, Université de Carthage, 43 Avenue Charles-Nicoles, Tunis-Mahrajène 1082, Tunisia
   UMR 9220 ENTROPIE, IRD, Université de la Réunion, Université de la Nouvelle-Calédonie, IFREMER, CNRS, 97744 La Réunion, France
   MARBEC, IRD-CNRS-IFREMER-UM, Université de Montpellier, 34095 Montpellier, France
C2 UNIV CARTHAGE, TUNISIA
   IFREMER, FRANCE
   UNIV LITTORAL COTE D'OPALE, FRANCE
   UNIV CARTHAGE, TUNISIA
   IRD, FRANCE
   IRD, FRANCE
SI SETE
SE PDG-RBE-MARBEC-LHM
UM MARBEC
   ENTROPIE
IN WOS Ifremer UMR
   WOS Cotutelle UMR
   DOAJ
   copubli-france
   copubli-p187
   copubli-univ-france
   copubli-int-hors-europe
   copubli-sud
IF 2.4
TC 0
UR https://archimer.ifremer.fr/doc/00742/85354/90411.pdf
LA English
DT Article
DE ;systematic conservation planning;species distribution models;exact optimization;heuristics;efficiency;flexibility;Mediterranean Sea;fish
AB 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. 
PY 2022
PD JAN
SO Diversity-basel
SN 1424-2818
PU MDPI AG
VL 14
IS 1
UT 000747672300001
DI 10.3390/d14010009
ID 85354
ER

EF