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Vol. 6 No. 1 (2022): APRIL

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A Diversity Index Model based on Spatial Analysis to Estimate High Conservation Value in a Mining Area

https://doi.org/10.24259/fs.v6i1.12919
Siti Halimah Larekeng
Faculty of Forestry, Universitas Hasanuddin, Makassar, Indonesia
https://orcid.org/0000-0002-9749-9500
Munajat Nursaputra
Faculty of Forestry, Universitas Hasanuddin, Makassar, Indonesia
https://orcid.org/0000-0001-9470-5148
Nasri Nasri
Faculty of Forestry, Universitas Hasanuddin, Makassar, Indonesia
https://orcid.org/0000-0002-9857-9588
Andi Siady Hamzah
Faculty of Forestry, Universitas Hasanuddin, Makassar, Indonesia
https://orcid.org/0000-0001-7652-1492
Andi Subhan Mustari
Faculty of Engineering, Universitas Hasanuddin, Gowa, Indonesia
Abdur Rahman Arif
Faculty of Mathematics and Natural Sciences, Universitas Hasanuddin, Makassar, Indonesia
https://orcid.org/0000-0001-8722-2949
Aris Prio Ambodo
Vale Indonesia, East Luwu, Indonesia
Yohan Lawang
Vale Indonesia, East Luwu, Indonesia
Andri Ardiansyah
Vale Indonesia, East Luwu, Indonesia

Corresponding Author(s) : Siti Halimah Larekeng

sittihalimah@unhas.ac.id

Forest and Society, Vol. 6 No. 1 (2022): APRIL

Abstract

Large scale land-based investments have a significant impact on natural resources and environmental conditions. It is necessary to protect areas of high conservation value (HCV) within land management investments, such as the mining sector, to minimise this impact. The existence of high conservation value sites in locations with activities related to the mining sector is intended to maintain the ecological and conservation value of a mining investment area. We demonstrate a model that can identify potential high conservation value sites in mining areas using remote sensing data and spatial analysis compiled with field observation data. The research was conducted in one of the largest nickel mining areas (71,047 ha) in South Sulawesi, Indonesia. We mapped vegetation density using the normalized difference vegetation index (NDVI), calculated from Sentinel-2 imagery. We also collected biodiversity data in predetermined inventory sampling plots, which we then used to estimate species richness using the Shannon-Wiener diversity index. Using a linear regression model to compare the normalized difference vegetation index value in each sampling plot with the biodiversity value of flora and fauna, we then estimated biodiversity distribution patterns for the entire study area. We found that potential high conservation value areas (areas likely to have high biodiversity based on our regression model) covered 40,000 ha, more than half of the total concession area.

Keywords

Diversity Index GIS Modelling HCV Mining Area South Sulawesi
Larekeng, S. H., Nursaputra, M., Nasri, N., Hamzah, A. S., Mustari, A. S., Arif, A. R. ., Ambodo , A. P. ., Lawang , Y. ., & Ardiansyah , A. (2022). A Diversity Index Model based on Spatial Analysis to Estimate High Conservation Value in a Mining Area. Forest and Society, 6(1), 142-156. https://doi.org/10.24259/fs.v6i1.12919
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