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エチオピア西部ディガ地区の伝統的コーヒー農法下における森林構造と炭素貯留量の動態

Forest structure and carbon stock dynamics under traditional coffee farming system in Diga District, western Ethiopia (原題)

Abdi Gemechu Geleta, Lijalem Hailu, Obsa Asefa, Emebet Asefa, Adugna Temesgen, Fekadu Gurmessa

Discover Environment📚 査読済 / ジャーナル2026-08-20#炭素会計対象セクター: agriculture
DOI: 10.1007/s44274-026-00955-2
原典: https://doi.org/10.1007/s44274-026-00955-2

🤖 gxceed AI 要約

日本語

本研究はエチオピア西部の自然林と半森林コーヒー農園を比較し、伝統的コーヒー管理が森林構造と炭素貯留に与える影響を評価した。自然林は種多様性と炭素貯留量が高い一方、コーヒー農園では選択的伐採により構造が単純化し、炭素貯留量が大幅に減少していた。改善された日陰樹の選択と保持戦略の必要性が示唆された。

English

This study compares natural forest and semi-forest coffee systems in western Ethiopia, assessing the impact of traditional coffee management on forest structure and carbon storage. Natural forest had higher species diversity and carbon stocks, while coffee systems showed simplified structure and significantly reduced carbon storage due to selective thinning. Improved shade-tree selection and retention strategies are needed.

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

日本では直接的な政策連動は限定的だが、JCMやREDD+などの国際的な炭素貯留プロジェクトに関心のある企業や研究者にとって、アグロフォレストリーの炭素貯留評価の事例として参考になる。

In the global GX context

This study contributes to global understanding of agroforestry's role in climate change mitigation, relevant to REDD+ and carbon offset projects. It highlights trade-offs between agricultural livelihoods and carbon storage, informing sustainable land-use policies.

👥 読者別の含意

🔬研究者:アグロフォレストリーの炭素貯留評価手法と地域固有の知見を提供。

🏢実務担当者:コーヒー生産地域での持続可能な農法導入やカーボンクレジット獲得の参考に。

🏛政策担当者:土地利用政策や森林保全と農業の両立を図る際のエビデンスとして有用。

📄 Abstract(原文)

Abstract Human-dominated landscapes are becoming more important for biodiversity conservation and climate change mitigation. As deforestation and forest degradation continue to reduce carbon stock density of the natural forest in the tropics, traditional coffee agroforestry systems, where Coffea arabica is cultivated under shade trees, are recognized for their structural complexity and capacity to store substantial biomass and soil carbon. However, the conversion of natural forests into simplified coffee systems through progressive thinning of shade trees can significantly diminish their ecological value. This study assessed forest structure and carbon stock dynamics in Natural Forest (NF) and Semi-Forest Coffee (SFC) systems in Diga District, western Ethiopia. To the people of this district, coffee forms a major source of livelihood. Forty sample plots (20 in each forest type) were systematically laid to record floristic composition, stand structure, basal area, and biomass of woody species. Species-specific and generalized allometric equations were used to estimate carbon stocks of trees and shrubs in both NF and SFC. Results revealed that NF had higher woody species richness (52 species) than SFC (25 species), asserting the impacts of traditional shade-tree management via selective removal of specific species and size classes. SFC had significantly lower basal area (8.41 m² ha⁻¹) and biomass carbon (41.59 t ha -1 ) than NF (18.47 m² ha⁻¹) and 99.98 t ha -1 , respectively, demonstrating greater structural complexity. Albizia schimperiana was ecologically dominant in both systems, though with much larger basal area in NF. In both forest type, size-class distributions exhibited reverse J-shaped curves, suggesting active regeneration in NF but also selective removal of larger trees in SFC. Overall, forest structural integrity and carbon storage was markedly reduced due to traditional coffee management activities, emphasizing the need for improved shade-tree selection and retention strategies to improve ecosystem services in coffee-growing landscapes.

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