Carbon Stock Estimation Using the InVEST Model in Pante Ceureumen Protected Forest, West Aceh, Indonesia (2016–2025)

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Siti Nurhaliza, Ichwana Ramli, Ashabul Anhar, Ashfa Achmad, Jumadil Akhir

2026 International Journal of Design and Nature and Ecodynamics Vol. 21 Issue 5 Article Cited by 0 SDG 15SDG 17 Quartile

Abstract

Land use change is a major factor that influencing the dynamics of carbon stocks in forest ecosystems. An analysis was conducted on the Pante Ceureumen Protected Forest for the 2016-2025 period using 10m resolution Sentinel-2 imagery, supervised Maximum Likelihood Classification (MLC), a confusion matrix accuracy test based on 50 sample points, and InVEST modeling. The classification yielded 11 land cover classes with an overall accuracy score of 86% and a Kappa coefficient of 82.78%, indicating a high level of precision. Carbon stock estimation using aboveground and belowground carbon components based on the Ministry of Environment and Forestry (KLHK) carbon density values showed a decrease of 2,543,190.12 Mg C, from 11,850,478.20 Mg C in 2016 to 9,307,288.08 Mg C in 2025. This decline is influenced by a loss in the area of primary forest by 2,613.37 ha and secondary forest by 6,815.91 ha due to conversion to scrubland, mixed agriculture, and mining. Copyright: ©2026 The authors.

Affiliations

Magister of Environmental Management Program, Graduate School, Syiah Kuala University, Banda Aceh, 23111, Indonesia; Department of Forestry, Faculty of Agriculture, Syiah Kuala University, Banda Aceh, Kopelma Darussalam, 23111, Indonesia; Department of Architecture and Planning, Faculty of Engineering, Syiah Kuala University, Banda Aceh, 23111, Indonesia

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