Biodiversitas Journal of Biological Diversity
Vol. 26 No. 8 (2025)

Modelling habitat suitability of sugar palm (Arenga pinnata) in Andongrejo Resort, Meru Betiri National Park, East Java, Indonesia

AGUS HIKMAT (Department of Forest Resources Conservation and Ecotourism, Faculty of Forestry and Environment, Institut Pertanian Bogor. Jl. Lingkar Akademik Kampus IPB Dramaga, Babakan, Bogor 16680, West Java, Indonesia)
ERVIZAL A. M. ZUHUD (Department of Forest Resources Conservation and Ecotourism, Faculty of Forestry and Environment, Institut Pertanian Bogor. Jl. Lingkar Akademik Kampus IPB Dramaga, Babakan, Bogor 16680, West Java, Indonesia)
EDHI SANDRA (Department of Forest Resources Conservation and Ecotourism, Faculty of Forestry and Environment, Institut Pertanian Bogor. Jl. Lingkar Akademik Kampus IPB Dramaga, Babakan, Bogor 16680, West Java, Indonesia)
PRIMADHIKA AL MANAR (Department of Forest Resources Conservation and Ecotourism, Faculty of Forestry and Environment, Institut Pertanian Bogor. Jl. Lingkar Akademik Kampus IPB Dramaga, Babakan, Bogor 16680, West Java, Indonesia)
FRISCHA DHELA WANNA PUTRI (Department of Forest Resources Conservation and Ecotourism, Faculty of Forestry and Environment, Institut Pertanian Bogor. Jl. Lingkar Akademik Kampus IPB Dramaga, Babakan, Bogor 16680, West Java, Indonesia)
HEKMATYAR AULIA AYUBA (Department of Forest Resources Conservation and Ecotourism, Faculty of Forestry and Environment, Institut Pertanian Bogor. Jl. Lingkar Akademik Kampus IPB Dramaga, Babakan, Bogor 16680, West Java, Indonesia)



Article Info

Publish Date
13 Sep 2025

Abstract

Abstract. Hikmat A, Zuhud EAM, Sandra E, Al Manar P, Putri FDW, Ayuba HA. 2025. Modelling habitat suitability of sugar palm (Arenga pinnata) in Andongrejo Resort, Meru Betiri National Park, East Java, Indonesia. Biodiversitas 26: 4077-4089. Sugar palm (Arenga pinnata) is a species of the Arecaceae family with considerable economic, social, and ecological importance. This study aimed to model the habitat suitability of sugar palm and generate a suitability map based on the relationship between known presence points and key environmental variables. Using Maximum Entropy (MaxEnt) modelling, habitat suitability was predicted and classified based on the relationship between known occurrences and environmental variables. Seven environmental variables were found to contribute to the habitat suitability model. Among them, temperature (49.5%), altitude (29%), and distance from the river (7.7%) were identified as the most influential. The model achieved a high level of accuracy, with an Area Under the Curve (AUC) value of 0.942, indicating excellent predictive performance. Habitat suitability in the Andongrejo Resort, Meru Betiri National Park, East Java, Indonesia, was categorized into five classes: not suitable (11.17 ha), less suitable (4,882.56 ha), quite suitable (144.28 ha), suitable (42.96 ha), and very suitable (33.64 ha). The findings show that highly suitable habitats occupy a much smaller area compared to less suitable ones, which could threaten the long-term survival of sugar palm populations in the region. Notably, areas with high habitat suitability were mainly found within the forest zone, covering approximately 29.24 ha. These findings provide spatial guidance for habitat management, including restoration and conservation planning, particularly in the forest zones where suitable habitats are concentrated.

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Journal Info

Abbrev

biodiv

Publisher

Subject

Agriculture, Biological Sciences & Forestry Biochemistry, Genetics & Molecular Biology

Description

The Biodiversitas Journal was first published in 2000 by the Department of Biology, FMNS, Universitas Sebelas Maret, Surakarta, Indonesia, then in 2006 it was co-published by the Society for Indonesian Biodiversity and that department; since 2017 it was also hosted by Smujo. From 2003-2012 it was ...