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Modelling reveals the effect of climate and land use change on Madagascar's chameleons fauna

Environmental Studies and Forestry

Modelling reveals the effect of climate and land use change on Madagascar's chameleons fauna

A. Mondanaro, M. D. Febbraro, et al.

Madagascar's chameleons, known for their vibrant diversity, face a grave threat from deforestation and climate change. Research led by Alessandro Mondanaro and colleagues employs advanced species distribution modeling to reveal alarming predictions of habitat loss, with up to 30% of chameleons potentially losing nearly all their homes. Discover the intricate dance between land conversion and climate impacts on these remarkable creatures.

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~3 min • Beginner • English
Abstract
The global biodiversity crisis is generated by the combined effects of human-induced climate change and land conversion. Madagascar is one of the World's most renewed hotspots of biodiversity. Yet, its rich variety of plant and animal species is threatened by deforestation and climate change. Predicting the future of Madagascar's chameleons, in particular, is complicated by their ecological rarity, making it hard to tell which factor is the most menacing to their survival. By applying an extension of the ENphylo species distribution model algorithm to work with extremely rare species, we find that Madagascar chameleons will face intense species loss in the north-western sector of the island. Land conversion by humans will drive most of the loss, and will intersect in a complex, nonlinear manner with climate change. We find that some 30% of the Madagascar's chameleons may lose in the future nearly all their habitats, critically jeopardizing their chance for survival.
Publisher
Communications Biology
Published On
Jul 21, 2024
Authors
Alessandro Mondanaro, Mirko Di Febbraro, Silvia Castiglione, Arianna Morena Belfiore, Giorgia Girardi, Marina Melchionna, Carmela Serio, Antonella Esposito, Pasquale Raia
Tags
Madagascar
chameleons
biodiversity
deforestation
climate change
habitat loss
species distribution model
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