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- Title
Pre-assessments of plant conservation status in islands: the case of French Overseas Territories.
- Authors
Véron, S.; Bernard, A.; Lebreton, E.; Rodrigues-Vaz, C.; Durand, M.; Procopio, L.; Hélion, M.; Gayot, M.; Viscardi, G.; Krupnick, G. A.; Carrington, C. M. S.; Boullet, V.; Mallet, B.; Dimassi, A.; Pailler, T.; Hivert, J.; Lebouvier, M.; Agnola, P.; Bruy, D.; Gateblé, G.
- Abstract
Assessment methods have been developed to estimate a preliminary conservation status for species and subsequently to facilitate the building of Red Lists. Such pre-assessment methods could be particularly useful in the French Overseas Territories (FOTs) where Red Lists tend to be out-dated or absent and where a high number of endemic species face detrimental anthropogenic pressures. We first aimed to conduct a preliminary assessment (hereafter, pre-assessment) of the conservation status of endemic plants from Guadeloupe, Martinique, Réunion, Mayotte, French sub-Antarctic islands, New Caledonia, and Scattered Islands. We then compared the various methods used in conducting the pre-assessment and discussed ways to adapt these methods to small territories. We compiled occurrence data of endemic species identified thanks to a previous taxonomic work and pre-assessed their conservation status under Red List criteria A and B and the use of a Random Forest algorithm. We then measured the accuracy, specificity, and sensitivity of each method based on existing Red Lists. The Random Forest algorithm and a method based on range-size performed best at correctly attributing conservation status. Using these pre-assessment methods, we estimated that up to 60% of the endemic flora of the FOTs is potentially threatened. Range restriction but also anthropogenic pressures were key factors that explained these risks. Pre-assessment methods are useful tools to get a first measure of species conservation status. These methods should be adapted to the territories considered and their conservation issues in order to reach a good performance.
- Subjects
NEW Caledonia; REUNION; MAYOTTE; PLANT conservation; NON-self-governing territories; RANDOM forest algorithms; BOTANICAL gardens; WILDLIFE conservation; ISLANDS
- Publication
Biodiversity & Conservation, 2023, Vol 32, Issue 4, p1165
- ISSN
0960-3115
- Publication type
Article
- DOI
10.1007/s10531-023-02544-8