Informations et ressources scientifiques
sur le développement des zones arides et semi-arides

Accueil du site → Master → Etats Unis → 2020 → A Global Analysis of Tropical Dry Forest Extent and Cover Based on Climatic Definitions

University of California Los Angeles (2020)

A Global Analysis of Tropical Dry Forest Extent and Cover Based on Climatic Definitions

Ocon, Jonathan Pando

Titre : A Global Analysis of Tropical Dry Forest Extent and Cover Based on Climatic Definitions

Auteur : Ocon, Jonathan Pando

Université de soutenance  : University of California Los Angeles

Grade : Master of Arts in Geography 2020

Résumé partiel
Tropical dry forests have been estimated to comprise 42% of all tropical forested biomes and are believed to be one of the world’s most endangered ecosystems. There is a growing interest in identifying forest extent and forest change in tropical dry forest regions, especially to identify dry forest that deserve a high conservation priority at a global spatial scale. There is currently a debate concerning the classification and extent of tropical dry forest at the global scale. We identify the extent of tropical dry forest regions based on commonly used climatic definitions and datasets to improve global estimates of tropical dry forest extent. We compare climatic definitions of tropical dry forest (Murphy and Lugo, FAO, Dryflor, Aridity Index) using Worldclim, CHELSA, and Global Aridity and PET climatic datasets (1 km) and compare results to the World Wildlife Fund’s Terrestrial Ecoregions (Tropical and Subtropical Dry Broadleaf Forest), as well as 579 field plots identified as tropical dry forest. Understanding the best method to estimate global tropical dry forest extent gives both researchers and policy makers a vital tool to begin protecting this critically endangered and valuable resource. We identify methods that most accurately predicted tropical dry forest extent. The global extents of tropical dry forest regions varied significantly with the Aridity Index predicting the largest extent, Murphy and Lugo and FAO predicting similar extents, and DryFlor predicting the smallest extent regardless of climatic dataset used. Globally, there was low agreement between climatic definitions and WWF Ecoregions

Présentation et version intégrale

Page publiée le 22 mai 2021