Comparative Analysis of Aboveground and Belowground Biomass and Carbon Stocks Across Major Forest Types in Cambodia
カンボジアの主要森林タイプにおける地上部・地下部バイオマスと炭素ストックの比較分析 (AI 翻訳)
Horn Sarun
🤖 gxceed AI 要約
日本語
カンボジアの常緑林、半常緑林、落葉林、氾濫林、マングローブ林における地上部・地下部バイオマスと炭素ストックを比較したメタ分析レビュー。異なるアロメトリー式や測定手法による推定値のばらつきを整理し、調和化ルールと森林タイプ別の層別化を提案。
English
This meta-analysis review compares aboveground and belowground biomass and carbon stocks across Cambodian forest types (evergreen, semi-evergreen, deciduous, flooded, mangrove). It identifies sources of heterogeneity in estimates due to allometric equations, diameter thresholds, and plot designs, and recommends harmonization rules and stratification by forest type for future meta-analyses.
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
カンボジアの森林炭素計量は日本のREDD+協力やJCM案件と関連する可能性があるが、本論文は日本国内のGX政策（SSBJや有報）には直接関係しない。日本の研究者が国際的な森林炭素計量の方法論を学ぶ参考にはなる。
In the global GX context
This paper contributes to global forest carbon accounting methodology, relevant for REDD+ and national GHG inventories. While not directly tied to corporate disclosure frameworks like TCFD or ISSB, it provides insights into biomass estimation uncertainty that can inform nature-based carbon credit methodologies.
👥 読者別の含意
🔬研究者:Forest carbon accounting researchers can adopt the proposed meta-analysis workflow and harmonization rules for other tropical regions.
🏛政策担当者:Policymakers involved in REDD+ or national forest monitoring can use the findings to improve MRV systems and reduce uncertainty in carbon stock estimates.
📄 Abstract（原文）
Abstract Cambodia’s forests—evergreen, semi-evergreen, deciduous (including dry dipterocarp), flooded forests, and mangroves—store substantial carbon in living biomass, but estimates of aboveground biomass (AGB), belowground biomass (BGB), and biomass carbon vary widely among studies because of differences in allometric equations, diameter thresholds, plot designs, wood density inputs, height models, carbon fractions, and root-to-shoot assumptions. This meta-analysis-style review synthesizes Cambodia-relevant peer-reviewed literature and national MRV/REDD+ technical evidence to (i) describes expected AGB/BGB patterns across major forest types, (ii) identify dominant sources of heterogeneity and uncertainty, and (iii) provide a meta-analysis workflow (random-effects pooling + moderator analysis) that can be applied once study-level estimates are extracted. Using Cambodia’s Second Forest Reference Level (FRL) as a harmonized benchmark, semi-evergreen and evergreen forests generally show the highest AGB and biomass carbon, deciduous and flooded forests are lower, and mangroves exhibit comparatively high BGB (via higher root-to-shoot ratios and mangrove-specific allometry). We recommend Cambodia-focused meta-analyses adopt transparent harmonization rules (units, carbon fraction, CO₂ conversion), stratify by forest type and disturbance, and test methodological moderators (allometry family; inclusion of height and wood density; DBH threshold; plot size; and BGB method). Keywords: Cambodia; evergreen; semi-evergreen; deciduous; dry dipterocarp; flooded forest; mangrove; AGB; BGB; carbon stock; allometry; root-to-shoot ratio; REDD+; MRV; random-effects meta-analysis.
🔗 Provenance — このレコードを発見したソース
- openalex https://doi.org/10.5281/zenodo.19228603first seen 2026-05-05 19:10:17
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