Biomass and Carbon Dynamics in Dry Afromontane Forest of Ethiopia: A Systematic Review
エチオピアの乾燥アフロモンタン森林におけるバイオマスと炭素動態：系統的レビュー (AI 翻訳)
Abu Mulatu, Yosef Fantaye
🤖 gxceed AI 要約
日本語
本レビューはエチオピアの乾燥アフロモンタン森林におけるバイオマス及び炭素貯留量を系統的に評価。72研究を分析し、地上部バイオマスは35.1～720.7 t ha⁻¹、地下部は地上部の18～22%と推定。土壌有機炭素（0-30cm）も58～277.6 t ha⁻¹と変動が大きく、保全状態の良い森林では215～425 t ha⁻¹の貯留能が示された。変動要因として計測誤差、アロメトリー式、種構成、地形、人為攪乱が挙げられ、今後の展望としてLiDAR等のリモートセンシング統合が提言された。
English
This systematic review quantifies biomass and carbon stocks in Ethiopia's dry afromontane forests. Analyzing 72 studies, it finds aboveground biomass ranges from 35.1 to 720.7 t ha⁻¹, with belowground biomass typically 18-22% of aboveground. Soil organic carbon also varies widely. Well-conserved forests store 215-425 t ha⁻¹. Key drivers include measurement errors, allometric equations, species composition, topography, and human disturbance. Future integration of LiDAR and biogeochemical models is recommended.
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
本論文はエチオピアの森林炭素に焦点を当てており、日本のGX文脈（SSBJ、有報等）とは直接関係しない。ただし、炭素会計手法や森林炭素吸収源の定量化は、日本の企業がカーボンオフセットや自然を基盤とした解決策を検討する際の参考情報となり得る。
In the global GX context
This paper contributes to global forest carbon accounting, relevant for nature-based solutions and carbon offset markets. While not directly tied to disclosure frameworks like TCFD or ISSB, it provides empirical data that can inform climate mitigation strategies and validate carbon stock estimates used in corporate reporting.
👥 読者別の含意
🔬研究者:Provides a comprehensive synthesis of biomass and carbon data from Ethiopian dry afromontane forests, useful for forest carbon modelers and ecologists.
🏢実務担当者:Offers benchmarks for carbon stock estimates that can support forest carbon project development and verification.
🏛政策担当者:Highlights the high carbon storage potential of well-conserved forests, informing national climate mitigation policies and REDD+ strategies.
📄 Abstract（原文）
Abstract Dry afromontane forests are important for climate change mitigation in Ethiopia, yet a systematic synthesis of their biomass and carbon storage capacity is lacking. This review aims to (1) quantify the biomass and carbon stocks in these forests, (2) map their geographic distribution, and (3) identify the key biophysical and anthropogenic factors driving carbon stock variation. Following the PRISMA guidelines, we systematically reviewed 72 relevant studies (2000–2025) identified from Web of Science, Scopus, PubMed, and Google Scholar. The results showed that aboveground biomass (AGB) ranged from 35.1 ± 16.6 t ha⁻¹ in Desa Forest to 720.7 ± 503 t ha⁻¹ in Banja Forest, with belowground biomass (BGB) following a similar pattern and generally representing 18–22 % of AGB. Soil organic carbon (0–30 cm depth) also varies substantially from 58 ± 7.6 t ha⁻¹ in Gara Muktar to 277.6 ± 11.6 t ha⁻¹ in Egdu Forest. Forests such as Banja, Gedo, Egdu, Ades, and Zafenigus show particularly high AGB, highlighting the capacity of well-conserved high forests to store roughly 215–425 t ha⁻¹, depending on site conditions. Factors contributing to this variation include measurement errors, the choice of allometric equations for biomass and carbon estimation, species composition and community structure, and topographic factors such as altitude and slope. Additionally, human disturbances play a significant role. Future research focuses on integrating advanced remote sensing technologies, particularly LiDAR, and applying climatic and biogeochemical models (e.g., CO 2 Flux, BIOME-BGC) to simulate future biomass and carbon dynamics.
🔗 Provenance — このレコードを発見したソース
- openalex https://doi.org/10.2478/jlecol-2026-0027first seen 2026-05-05 19:15:00
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