Modeling Future Carbon Stock Predictions Based on Land Use
https://doi.org/10.24057/2071-9388-2025-3684
Abstract
The considerable influence of extensive land use change on the increasing levels of carbon emissions has significant implications for the occurrence of a multitude of disasters. The objective of this research is to develop a predictive model of future carbon stocks based on land use type. The data set includes land use maps from 2014, 2018, and 2022, obtained through visual interpretation of Pleiades data and associated driving variables, including socio-economic, locational, physical, land, and spatial planning factors. To predict land use in relation to future carbon stock values, the Multilayer Perceptron Neural Network Markov Chain (MLPNN-MC) algorithm was employed. Research related to this modeling is capable of producing an accuracy rate of 98%. The results of the prediction demonstrate that by 2034, there will be a reduction in the area of land used with high to low carbon stock, with a decrease of 153.2 ha, which equates to a reduction in carbon stock of 9,050 tonnes C/ha. To reduce carbon emissions, it is essential to implement policies that regulate land use change, optimize forest management, and conserve mangrove ecosystems. The monitoring and prediction of future carbon stocks plays a pivotal role in climate change mitigation, enabling more targeted and measurable actions to be taken.
Keywords
Supporting agencies: The author wishes to express gratitude to the fieldwork participants from the Faculty of Geography, Universitas Gadjah Mada. In addition, the author would like to thank the government, the Kulon Progo Regency Land Office, and the Geospatial Information Agency for providing secondary data.
About the Authors
Westi Utami
Doctoral Program of Environmental Science Universitas Gadjah Mada ; Department of Land Management Sekolah Tinggi Pertanahan Nasional
Indonesia
Indonesia
Jl. Teknika Utara, Yogyakarta, 55284
Jl. Tata Bumi No. 5, Yogyakarta, 55293
Catur Sugiyanto
Faculty of Economics and Bussiness Universitas Gadjah Mada
Indonesia
Indonesia
Jl. Sosio Humaniora, Yogyakarta, 55281
Noorhadi Rahardjo
Faculty Geography Universitas Gadjah Mada
Indonesia
Indonesia
Jl. Kaliurang, Yogyakarta, 55281
Nurhadi .
Faculty of Social Science and Political Science, Universitas Gadjah Mada
Indonesia
Indonesia
Jl. Sosio Yusticia No.1, Yogyakarta, 55281
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For citations:
Utami W., Sugiyanto C., Rahardjo N., . N. Modeling Future Carbon Stock Predictions Based on Land Use. GEOGRAPHY, ENVIRONMENT, SUSTAINABILITY. 2025;18(2):102-113. https://doi.org/10.24057/2071-9388-2025-3684
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