Spatial modeling for assessing extended potential habitat of Javan rhino (Rhinoceros sondaicus) in Ujung Kulon National Park, Indonesia


World Heritage Site: Ujung Kulon National Park

Publication Year: 2020

Publication Type: Conference paper

Publication Identifier: WHE4EC427CC3A

Summary

A spatial model predicts that 60.66% (29,173.8 hectares) of Ujung Kulon National Park (UKNP), the sole habitat for the critically endangered Javan rhino (Rhinoceros sondaicus), could support suitable habitat conditions, with fragmentation occurring in Mount Honje due to slope and forage availability constraints. The model, developed using MaxEnt software with field observations and camera trap data from 2017–2018, identified slope, potential forage, NDVI, distance from streams, and flow accumulation as key variables, with slope being the most significant predictor. Rhinos were found to prefer lowland areas with dense vegetation, particularly rumpang grasslands and shrubs, where forage is abundant. This study provides a baseline for monitoring and conservation efforts, offering critical insights for maintaining rhino populations within UKNP's extended potential habitat.

Citation

Latifiana, K., Giri, P. W., Firdaus, A. Y., Muhiban, & Anggodo. (2020). Spatial modeling for assessing extended potential habitat of Javan rhino (Rhinoceros sondaicus) in Ujung Kulon National Park, Indonesia. THE 6TH INTERNATIONAL CONFERENCE ON BIOLOGICAL SCIENCE ICBS 2019: “Biodiversity as a Cornerstone for Embracing Future Humanity”, 2260, 20015. https://doi.org/10.1063/5.0015931

You are here:
World Heritage Explorer > World Heritage Research > Publications > Spatial modeling for assessing extended potential habitat of Javan rhino (Rhinoceros sondaicus) in Ujung Kulon National Park, Indonesia

This website includes data sources licensed under CC BY-SA 4.0. Additional original content by World Heritage Explorer, also licensed under CC BY-SA 4.0. WHE is not affiliated with UNESCO or the World Heritage Committee. Legal Notice. Privacy Policy.

Open Data for an Open World