Comparative Analysis of Aboveground and Belowground Biomass and Carbon Stocks Across Major Forest Types in Cambodia
カンボジア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
カンボジアの森林（常緑、半常緑、落葉、氾濫原、マングローブ）の地上部・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。既存研究のばらつき要因を特定し、調和化ルールとメタ分析ワークフローを提案。REDD+やMRVの精度向上に寄与。
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 existing estimates and proposes harmonization rules and a random-effects meta-analysis workflow to improve REDD+ and MRV accuracy.
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
日本は森林炭素吸収源の報告にMRVを活用しており、本論文の調和化手法は日本の森林炭素計量にも応用可能。ただしカンボジア固有のデータに基づくため、直接的な政策連動は限定的。
In the global GX context
This paper provides a methodological framework for harmonizing forest carbon stock estimates, relevant to global REDD+ and MRV efforts. While Cambodia-specific, the meta-analysis workflow and uncertainty assessment can inform tropical forest carbon accounting worldwide.
👥 読者別の含意
🔬研究者:Forest carbon accounting researchers can adopt the proposed meta-analysis workflow and harmonization rules for tropical forest biomass studies.
🏢実務担当者:REDD+ project developers and MRV practitioners can use the stratified carbon stock benchmarks to improve forest carbon estimates.
🏛政策担当者:Policymakers in tropical countries can reference the uncertainty analysis to strengthen national forest reference levels.
📄 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.19228602first seen 2026-05-05 19:10:17
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