Species Distribution Modelling Using Bioclimatic Variables on Critically Endangered Endemic Species (Macrocephalon Maleo) in Sulawesi

Authors

Septianto Aldiansyah, Department of Geography, Faculty of Mathematics and Natural Sciences, Indonesia University, Depok 16424, IndonesiaFollow
Khalil Abdul Wahid, Department of Geography, Faculty of Social Science, Malang State University, Malang 65145, Indonesia

Abstract

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.

Publication Date

2024

Recommended Citation

Aldiansyah, Septianto and Wahid, Khalil Abdul (2024) "Species Distribution Modelling Using Bioclimatic Variables on Critically Endangered Endemic Species (Macrocephalon Maleo) in Sulawesi," ASEAN Journal on Science and Technology for Development: Vol. 41: No. 3, Article 3.
DOI: https://doi.org/10.61931/2224-9028.1588
Available at: https://ajstd.ubd.edu.bn/journal/vol41/iss3/3