Predicting suitable habitat for the endangered Javan Gibbon in a submontane forest in Indonesia

Species distribution modeling is an essential tool for understanding the ecology of species and has many applications in conservation. Using maximum entropy (MaxEnt) modeling, we identify key factors shaping potential endangered Javan Gibbons Hylobates moloch one main remnant habitats, Gunung Halimun Salak National Park (GHSNP), Indonesia, using presence-only data collected between October November 2015, April May 2016. Maxent results showed that forest canopy density annual temperature were principal variables predicting Gibbons, with contribution scores 53.9% 35.6%, respectively. The predictive map indicated suitable habitat not uniformly distributed within GHSNP, i.e., located evenly throughout region, some areas more than others. Highly comprises largest proportion habitat, 42.1% GHSNP classified as highly whereas 24.7% was moderately suitable, 33.2% low suitability Gibbons. Priority should be given to increasing quality degraded law enforcement patrols reduce degradation peripheral regions park part conservation management strategy.