チーク生産景観における土地被覆変化が炭素貯留量に与える影響
The impact of land cover change on carbon stocks in a biocultural teak production landscape (原題)
Siti Syarifatul Firdaus
🤖 gxceed AI 要約
日本語
インドネシア・中部ジャワのチーク生産林景観を対象に、2013〜2025年の土地被覆変化と炭素貯留量の関係をGIS・リモートセンシングとランダムフォレストで分析。森林面積が2,152.78ha増加し、炭素貯留量は200,636トン増加。植生回復が気候変動緩和に寄与することを示した。
English
This study analyzes land cover change and carbon stocks in a teak production landscape in Central Java (2013-2025) using GIS, remote sensing, and Random Forest classification. Forest area expanded by 2,152.78 ha, increasing carbon stocks by 200,636 tons, demonstrating vegetation recovery supports climate mitigation in managed production landscapes.
Unofficial AI-generated summary based on the public title and abstract. Not an official translation.
📝 gxceed 編集解説 — Why this matters
日本のGX文脈において
日本では、SSBJ開示やカーボンニュートラル政策の下で、土地利用変化に伴う炭素ストック評価の重要性が高まっている。本研究成果は、森林経営や土地利用計画における炭素勘定の実践例として、国内の自治体や企業のScope 1・2算定や自然関連情報開示（TNFD）にも示唆を与える。
In the global GX context
Globally, this study contributes to carbon accounting in production landscapes, aligning with IPCC guidelines and nature-based solutions. It provides empirical evidence on how managed teak forests can enhance carbon stocks, relevant for climate mitigation strategies and land-use policies in tropical regions.
👥 読者別の含意
🔬研究者:Provides a methodological example of integrating Random Forest and GIS for sub-district carbon stock mapping, useful for land-use carbon studies.
🏢実務担当者:Offers insights for land managers and forestry companies on how reforestation and sustainable management can increase carbon stocks, potentially supporting carbon credit projects.
🏛政策担当者:Highlights the role of production forests in climate mitigation, informing land-use planning and reforestation policies in tropical countries.
📄 Abstract（原文）
Background: Land cover change is one of the factors contributing to the increasing concentration of CO₂ in the atmosphere, with direct implications for the ecological and cultural sustainability of production landscapes shaped by long-term human–forest interaction. Monitoring land cover change and estimating carbon stocks are essential for supporting emission mitigation efforts at various spatial scales. This study analyzes the impact of land cover change on carbon stocks in Randublatung District, Central Java, a landscape historically managed as a teak production forest reflecting the interconnection between local livelihoods and ecosystem management, by integrating geographic information systems (GIS) and remote sensing data to assess land cover change and carbon stocks in Randublatung District during the 2013–2025 period using the Google Earth Engine (GEE) platform. Methods: This study employed the random forest (RF) algorithm for land cover classification, and carbon stock estimation was conducted using a Tier 2 approach based on carbon constants. Findings: Randublatung District is dominated by teak plantation forests. Forest cover expanded by 2,152.78 ha during 2013–2025, while settlement land, dryland agriculture, and paddy fields decreased sequentially by 1,042.30 ha, 595.57 ha, and 514.92 ha. These land cover changes are directly proportional to changes in carbon stocks, which increased by 200,636.08 tons, driven by a 211,790.81 tons increase from plantation forests, whereas other non-forest land-use classes experienced a decline. Conclusion: The increase in carbon stock indicates vegetation recovery or reforestation supporting climate change mitigation and illustrates how managed production landscapes can sustain both ecological function and community-based land use. Novelty/Originality of this article: The novelty of this study lies in the application of the Random Forest algorithm for carbon stock mapping at the sub-district level, as well as in its focus on teak production forest areas as a biocultural landscape, which have received relatively limited attention in carbon-related research.
🔗 Provenance — このレコードを発見したソース
- openalex https://doi.org/10.61511/bioculture.v4i1.2026.3213first seen 2026-08-20 04:35:30
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