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All Journal MANAJEMEN HUTAN TROPIKA Journal of Tropical Forest Management BIOTROPIA - The Southeast Asian Journal of Tropical Biology
van Etten, Eddie
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Agriculture, Biological Sciences & Forestry Biochemistry, Genetics & Molecular Biology Immunology & microbiology Veterinary

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Assessing Habitat Suitability for the Invasive Species Lantana camara on Bali Island: A Model Using the Biodiversity and Climate Change Virtual Laboratory (BCCVL) Iryadi, Rajif; Sutomo; Saputra, Muhammad Hadi; Humaida, Nida; Pujiono, Eko; Sukmawati, Jalma Giring; Hani, Aditya; Swari, Komang Kartika Indi; Sari, Dewa Ayu Intan; Atmaja, Muhammad Bima; Herningtyas, Wieke; Wahyuningtyas, Reni Setyo; van Etten, Eddie
Jurnal Manajemen Hutan Tropika Vol. 30 No. 3 (2024)
Publisher : Institut Pertanian Bogor (IPB University)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.7226/jtfm.30.3.305

Abstract

Indonesia, known for its high biodiversity, is threatened due to alien plants that invade local plant species in forest areas. West Bali National Park is overgrown with invasive exotic plants, such as Lantana camara L., known locally as the kembang telek. The research aims to predict the distribution of L. camara using species distribution models (SDMs) and analysis variable contribution in the model featured in the biodiversity climate change virtual laboratory (BCCVL) application. L. camara distribution prediction model in Bali used the Bioclim data input by identifying areas of low, medium, and high habitat suitability. Central mountainous regions, including parts of Buleleng, Jembrana, Bangli, Karangasem, and Tabanan, show the highest suitability. Response curves demonstrated the correlation between climate variables and occurrence probability, highlighting the specific condition of rainfall and temperature ranges favoring Lantana's growth. The model showed a reliable AUC value of 0.89, indicating realibility. Potential improvements through additional environmental parameters were suggested. While L. camara has some potential benefits as a medicinal plant in Balinese culture, its invasive nature poses significant threats to native ecosystems. The predictive map offers valuable insights for authorities to implement initiative-taking strategies for preventing and controlling Lantanas spread in vulnerable areas of Bali.
Use of Landsat Imagery to Map Spread of the Invasive Alien Species Acacia nilotica in Baluran National Park, Indonesia Sutomo, Sutomo; van Etten, Eddie; Iryadi, Rajif
BIOTROPIA Vol. 27 No. 1 (2020): BIOTROPIA Vol. 27 No. 1 April 2020
Publisher : SEAMEO BIOTROP

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (407.727 KB) | DOI: 10.11598/btb.2020.27.1.1007

Abstract

In the late 1960s, Acacia nilotica was introduced to Baluran National Park to establish fire breaks which would prevent the spread of fire from Baluran Savanna to the adjacent teak forest. However, A. nilotica has spread rapidly and has threatened the existence of Baluran Savanna as it has caused an ecosystem transition from an open savanna to a closed canopy of A. nilotica in some areas. This study is one of the few that examines A. nilotica invasion in Baluran National Park through remote sensing. Land cover dynamics were quantified using a supervised classification approach on Landsat 7 and 8 multi-spectral images. Results showed that savanna and A. nilotica can be recognized using a composite of bands 6, 5 and 3 of the Landsat 8 image. Across a 14-year period (2000-14), A. nilotica has spread far north and south from its originally introduced location, invading not only savannas but also dry forests in the Baluran National Park. The savanna size has decreased by 1,361 ha, meanwhile the A. nilotica stand has increased by 1,886 ha over this period. Spatial distribution of A. nilotica in Baluran National Park showed a clumped pattern. Acacia nilotica which develops into a homogeneous stand in the north-west and eastern parts of the national park occupied an area of 3,628 ha or about 14.5% of the total area. This study has demonstrated that remote sensing technology can be effectively used to estimate the patterns of distribution and amount of A. nilotica cover change over the whole Baluran National Park. This is one advantage of remote sensing and GIS, as it is difficult and expensive to make such direct assessments using the conventional approach of field survey and vegetation analysis.
Co-Authors Aditya Hani Atmaja, Muhammad Bima Eko Pujiono Herningtyas, Wieke Humaida, Nida Iryadi, Rajif Reni Setyo Wahyuningtyas Saputra, Muhammad Hadi Sari, Dewa Ayu Intan Sukmawati, Jalma Giring SUTOMO Sutomo Sutomo Swari, Komang Kartika Indi