TY  - JOUR
AU  - S. Véron, A. Bernard
PY  - 2023//
TI  - Pre-assessments of plant conservation status in islands: the case of French Overseas Territories
KW  - Endemics French overseas territories Islands Pre-assessments Red List Tracheophytes
N2  - 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.
SN  - 1572-9710
UR  - http://dx.doi.org/10.1007/s10531-023-02544-8
N1  - exported from refbase (http://publi.ipev.fr/polar_references/show.php?record=8634), last updated on Sat, 29 Jun 2024 15:11:13 +0200
ID  - S.Veron2023
ER  -