Septianto Aldiansyah, Khalil A. Wahid
The island of Sulawesi isolates migratory fauna from Asia and Australia and creates animal combinations such as the Maleo (Macrocephalon Maleo). The Maleo population is experiencing a downward trend due to habitat fragmentation, deforestation, and threats by humans. This study aims to model the potential distribution of Maleo using several famous current and future models as a result of climate change throughout the island of Sulawesi, not only in its natural habitat but beyond its natural habitat. Bioclimatic variables and in situ attendance data were used in this study. The method used is Maximum Entropy by evaluating the GLM, SVM, and RF algorithms to find the best model. The RF model is quite good in modeling the Maleo distribution based on a comparison of statistical tests (AUC = 0.99, COR = 0.96, TSS = 0.99, Deviance = 0.14) and data from observations (92.31%). This species requires an ideal climatic environment to support its reproduction in nature. In the future, Lambusango Wildlife Sanctuary will become more vulnerable to climate change. © 2024 The Authors.
Department of Geography, Faculty of Mathematics and Natural Sciences, Indonesia University, Depok, 16424, Indonesia; Department of Geography, Faculty of Social Science, Malang State University, Malang, 65145, Indonesia