ネパール中部丘陵地域の共有林において、林分構造が植生炭素貯留を規定し、土壌テクスチャが土壌有機炭素を調整する
Stand structure drives vegetation carbon storage while soil texture regulates soil organic carbon in Nepalese mid-hill community forests (原題)
Binayak Poudel, Shubhashis Bhattarai, Sandesh Koirala, Jenish Chapagain, Sachin Timilsina
🤖 gxceed AI 要約
日本語
ネパール中部丘陵の共有林3タイプで植生炭素と土壌有機炭素（SOC）を定量し、14の予測因子を相関分析とPCAで評価した。Shorea robusta林が植生炭素・SOCともに最も高く、植生炭素は胸高断面積と林冠被覆が正、人為撹乱が負の影響を与えた。SOCは土壌テクスチャ（シルト正・砂負）が主に規定し、林冠被覆のみが有意な構造相関を示した。林分構造と撹乱の管理がREDD+や国家炭素会計に直結することを示す。
English
This study quantified vegetation carbon and soil organic carbon (SOC) across three community forest types in Nepal's mid-hills using 19 nested plots and stratified soil sampling to 80 cm. Shorea robusta forests stored the most carbon; basal area and canopy cover positively predicted tree carbon while anthropogenic disturbance had a negative effect. SOC was mainly regulated by soil texture (silt positive, sand negative). Maintaining stand structure and minimizing disturbance is key for REDD+ and national carbon accounting.
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
ネパールの地域森林研究であり、日本のSSBJ・有報・統合報告書への直接的な示唆は乏しい。ただし、自然資本・生物多様性・森林炭素クレジットに関心を持つ日本企業にとって、途上国コミュニティ林の炭素貯留メカニズムを理解する参考資料となり得る。
In the global GX context
This paper contributes to the global carbon accounting and REDD+ literature by clarifying biotic vs. abiotic drivers of forest carbon stocks in community-managed forests. It is relevant to nature-based solutions and voluntary carbon market integrity discussions, though it does not directly engage TCFD/ISSB disclosure frameworks.
👥 読者別の含意
🔬研究者:森林炭素貯留の生物的要因と非生物的要因の相対的重要性を実証的に示した点が、生態系炭素モデリング研究者に有用。
🏢実務担当者:自然資本・森林炭素クレジットに関与する企業が、途上国コミュニティ林の炭素貯留管理の要点を把握するのに役立つ。
🏛政策担当者:REDD+や国家炭素会計制度の設計において、林分構造と土壌テクスチャを考慮した管理指針の必要性を示唆する。
📄 Abstract（原文）
Forest carbon stocks in Nepal’s mid-hill community forests are influenced by interacting biotic and abiotic drivers; however, the relative importance of these drivers remains insufficiently understood. Vegetation carbon and soil organic carbon (SOC) were quantified across three forest types: Shorea robusta , Pinus roxburghii , and mixed broadleaved forests, using 19 nested circular plots (500 m 2 ) and stratified soil sampling to a depth of 80 cm. Fourteen predictors representing stand structure, anthropogenic disturbance, soil properties, topography, and climate were evaluated using correlation analysis and principal component analysis (PCA). Shorea robusta forests stored significantly higher vegetation carbon (113.5 ± 7.1 Mg C ha −1 ) and SOC (102.0 ± 2.3 Mg C ha −1 ) compared to the other forest types. At the plot scale, basal area and canopy cover were the strongest positive predictors of tree carbon, while anthropogenic disturbance exerted a negative effect (correlation coefficient = − 0.60). SOC was primarily regulated by soil texture, with silt exerting a positive effect and sand a negative one; canopy cover was the only significant structural correlate. PCA confirmed that stand structure and disturbance accounted for most variation in vegetation carbon, whereas soil texture determined SOC patterns. These results indicate that maintaining stand basal area and canopy integrity while minimizing biomass-removal disturbances is essential for optimizing ecosystem carbon storage in community-managed mid-hill forests. This has direct implications for REDD+ implementation and national carbon accounting. Current management practices should incorporate both biotic and abiotic factors influencing carbon stocks.
🔗 Provenance — このレコードを発見したソース
- openalex https://doi.org/10.1007/s44415-026-00130-8first seen 2026-10-09 04:49:51
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