Proceedings of the International Conference on Sustainable Energy: Toward Energy Transition and Net-Zero Emission (ICOSE 2025)

Species Distribution Modeling Reveals Autecological Determinants of Vachellia nilotica in Java and the Lesser Sunda Islands

Authors
Sutomo1, *, Jalma Giring Sukmawati2, Hendra Helmanto1, Hery Kurniawan1, Eko Prasetyo3, Nida Humaida4
1Research Center for Biotic System, National Research and Innovation Agency Republic of Indonesia (BRIN), Jl. Raya Jakarta-Bogor KM. 46, Cibinong, Bogor, 16911, West Java, Indonesia
2Research Center for Ecology, National Research and Innovation Agency Republic of Indonesia (BRIN), Jl. Raya Jakarta-Bogor KM. 46, Cibinong, Bogor, 16911, West Java, Indonesia
3Vocational College, Universitas Gadjah Mada, Sekip Unit II, Yogyakarta, Indonesia
4Doctoral Study Program of Environmental Science, Graduate School, Universitas Gadjah Mada, Jl Teknika Utara, Yogyakarta, 55284, Indonesia
*Corresponding author. Email: sutomo.uwa@gmail.com
Corresponding Author
Sutomo
Available Online 26 December 2025.
DOI
10.2991/978-94-6463-944-5_12How to use a DOI?
Keywords
Aridity; Climate Change; Invasive Species; Species Distribution Modeling; Tropical Ecosystems
Abstract

This study investigates the autecological determinants influencing the distribution of Vachellia nilotica (L.) P.J.H. Hurter & Mabb., an invasive species in Java and the Lesser Sunda Islands, Indonesia. Using a Species Distribution Modeling (SDM) approach, we aimed to identify the environmental factors that constrain the species’ spread in tropical savanna ecosystems. The modeling was performed using the MaxEnt algorithm, incorporating 19 bioclimatic variables, annual global aridity index, potential evapotranspiration, and altitude. Our findings show that V. nilotica thrives in dry coastal ecosystems, with suitable habitats concentrated in areas with moderate seasonal rainfall, aridity, and low elevation. Key ecological factors include the minimum temperature of the coldest month, precipitation of the driest month, and annual aridity index. The model exhibited high accuracy, with an AUC value of 0.990, demonstrating its robust predictive power. The study provides valuable insights into the invasive potential of V. nilotica, offering a scientific basis for the development of targeted management strategies to mitigate its spread and protect vulnerable ecosystems.

Copyright
© 2025 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the International Conference on Sustainable Energy: Toward Energy Transition and Net-Zero Emission (ICOSE 2025)
Series
Atlantis Highlights in Sustainable Development
Publication Date
26 December 2025
ISBN
978-94-6463-944-5
ISSN
3005-155X
DOI
10.2991/978-94-6463-944-5_12How to use a DOI?
Copyright
© 2025 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

TY  - CONF
AU  - Sutomo
AU  - Jalma Giring Sukmawati
AU  - Hendra Helmanto
AU  - Hery Kurniawan
AU  - Eko Prasetyo
AU  - Nida Humaida
PY  - 2025
DA  - 2025/12/26
TI  - Species Distribution Modeling Reveals Autecological Determinants of Vachellia nilotica in Java and the Lesser Sunda Islands
BT  - Proceedings of the International Conference on Sustainable Energy: Toward Energy Transition and Net-Zero Emission (ICOSE 2025)
PB  - Atlantis Press
SP  - 165
EP  - 180
SN  - 3005-155X
UR  - https://doi.org/10.2991/978-94-6463-944-5_12
DO  - 10.2991/978-94-6463-944-5_12
ID  - 2025
ER  -