An integrated passive acoustic monitoring and deep learning pipeline for black-and-white ruffed lemurs (Varecia variegata) in Ranomafana National Park, Madagascar
Rainforest Connection & Arbimon’s Science Outreach Lead, Carly Batist, is the lead author of a new study in the American Journal of Primatology that used passive acoustic monitoring (PAM) and machine learning (ML) to study black-and-white ruffed lemurs in southeastern Madagascar.
Black-and-white ruffed lemurs are keystone species in Malagasy rainforests, as they fill vital pollinator and seed disperser roles. However, they are Critically Endangered and limited to fragments of the once-continuous eastern Malagasy rainforests, which makes them challenging to study. PAM is a promising method to overcome this and effectively provide data on species presence, distribution, and behavior, which can inform conservation efforts.
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