Sungai Kakap地区（Kubu Raya県）における地理空間ベースのストック差分法を用いた表層炭素貯蔵量推計
Surface Carbon Stock Estimation Using Geospatial-Based Stock Difference Method in Sungai Kakap District, Kubu Raya Regency (原題)
Agus Sudiro, Paiman Paiman, Rosanti Rosanti, Muhammad Haikal Parabi, Muhammad Aprizal
🤖 gxceed AI 要約
日本語
インドネシア西カリマンタンの沿岸地区を対象に、土地利用・被覆図と炭素密度を組み合わせたストック差分法で地上炭素貯蔵量を推計した研究。総炭素量は約320万トン、潜在CO₂排出量は約1,172万トン、炭素価値は約1,600万ドルと試算。マングローブが最大の炭素貯蔵源であり、保全と持続的土地利用の戦略的重要性を示す。
English
A geospatial stock-difference approach estimates aboveground carbon stocks across land-use classes in coastal West Kalimantan, Indonesia. Total stock is ~3.20 Mt C, with ~11.72 Mt CO2 emission potential and ~USD 16.0 million in carbon value at USD 5/tCO2. Mangroves dominate carbon storage, underscoring conservation and sustainable land-use planning.
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
日本企業のScope 3や自然資本・生物多様性開示（TNFD）を検討する際、沿岸ブルーカーボン・マングローブの定量手法として参考になる。ただしSSBJや有報開示への直接接続は弱い。
In the global GX context
Adds a replicable geospatial carbon-valuation template for blue-carbon and land-use accounting relevant to nature-related disclosure (TNFD) and jurisdictional REDD+ debates, though it does not engage ISSB/CSRD frameworks directly.
👥 読者別の含意
🔬研究者:地理空間ストック差分法と炭素評価を組み合わせた沿岸域推計の実例として参照可能。
🏢実務担当者:サプライチェーン上流の土地利用・自然資本リスク評価やブルーカーボン事業検討の基礎データ手法として活用できる。
🏛政策担当者:沿岸土地利用計画やマングローブ保全政策の根拠として炭素評価を組み込む際の実務的枠組みを提供する。
📄 Abstract（原文）
Carbon stock assessment is a critical component of climate change mitigation, particularly in coastal areas experiencing rapid land-use change. This study aims to estimate aboveground carbon stocks, potential CO₂ emissions, and the economic value of carbon across various land use and land cover (LULC) types in Sungai Kakap District, Kubu Raya Regency, West Kalimantan, Indonesia. A geospatial stock-difference approach was used by integrating land use/land cover maps with carbon emission factors for each LULC category. Carbon stocks were calculated by multiplying the area of each land use class by its respective carbon density, while potential CO₂ emissions were estimated using the IPCC conversion factor (44/12). The economic value of carbon was determined using a carbon price of USD 5 per ton of CO₂. The study results show that the total aboveground carbon stock reached 3.197.198,96 tons of carbon, with an estimated potential emission of 11.723.062,86 tons of CO₂ and a total carbon economic value of USD 15.985.994,81. Mangrove ecosystems contributed the largest carbon stock (1.141.154,51 tons of C), followed by agricultural land (828.861,07 tons of C) and forest formations (620.751,79 tons of C). Consequently, mangroves also exhibit the highest CO₂ emission potential and carbon economic value among all land use classes. These findings highlight the strategic importance of mangrove and forest conservation while promoting sustainable land management to maintain carbon storage, reduce greenhouse gas emissions, and enhance the economic benefits of ecosystem services. Integrating geospatial analysis with carbon valuation provides a practical framework to support low-carbon development and evidence-based land-use planning in coastal landscapes
🔗 Provenance — このレコードを発見したソース
- openalex https://doi.org/10.29303/jppipa.v12i10.15912first seen 2026-10-22 04:43:19 · last seen 2026-10-30 04:40:22
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