Pre-assessments of plant conservation status in islands: the case of French Overseas Territories
Résumé
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methods could be particularly useful in the French Overseas Territories (FOTs) where Red Lists tend to be outdated or absent and where a high number of endemic species face detrimental anthropogenic pressures.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.
Fichier principal
Paper pre-assessment _ HAL.pdf (1.12 Mo)
Télécharger le fichier
SI_1 perimeter of the study _ corr_sv.pdf (583.45 Ko)
Télécharger le fichier
SI_2_sensitivity analyses_corr(1).xlsx (15.12 Ko)
Télécharger le fichier
SI_3 local threat status corr(1).xlsx (12.41 Ko)
Télécharger le fichier
SI_4 important variables to explain threats corr(1).pdf (492.12 Ko)
Télécharger le fichier
SI_5_pre-assessment_results per territory corr(1).xlsx (1.92 Mo)
Télécharger le fichier
SI_6_Statistics_per_territory(1).xlsx (41.54 Ko)
Télécharger le fichier
| Origine | Fichiers produits par l'(les) auteur(s) |
|---|
| Origine | Fichiers produits par l'(les) auteur(s) |
|---|