Zoeken
Zoeken kan via de modus 'eenvoudig zoeken' (één veld) of uitgebreid via 'geavanceerd zoeken' (meerdere velden). Zo kan je bv. zoeken op een combinatie van een auteursnaam (auteur), een jaartal (jaar) en een documenttype.
Boekenmand
Nuttige resultaten kan je aanvinken en toevoegen aan een mandje. De inhoud hiervan kan je exporteren of afdrukken (naar bv. PDF).
RSS
Op de hoogte blijven van nieuw toegevoegde publicaties binnen uw interessegebied? Dit kan door een RSS-feed (?) te maken van jouw zoekopdracht.
nieuwe zoekopdracht
Can we avoid tacit trade-offs between flexibility and efficiency in systematic conservation planning? The Mediterranean Sea as a case study
Drira, S.; Ben Rais Lasram, F.; Hattab, T.; Shin, Y.-J.; Ben Rejeb Jenhani, A.; Guilhaumon, F. (2022). Can we avoid tacit trade-offs between flexibility and efficiency in systematic conservation planning? The Mediterranean Sea as a case study. Diversity 14(1): 9. https://dx.doi.org/10.3390/d14010009
In: Diversity. MDPI: Basel. ISSN 1424-2818; e-ISSN 1424-2818
|   |
| Trefwoorden |
Pisces [WoRMS]
Marien/Kust |
| Author keywords |
systematic conservation planning; species distribution models; exact optimization; heuristics; efficiency; flexibility; Mediterranean Sea; fish |
| Auteurs | | Top |
- Drira, S.
- Ben Rais Lasram, F.
- Hattab, T.
|
- Shin, Y.-J.
- Ben Rejeb Jenhani, A.
- Guilhaumon, F.
|
|
| Abstract |
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. |
IMIS is ontwikkeld en wordt gehost door het VLIZ.
