アグロフォレストリー・コーヒーシステムで生育するPinus tecunumanii日陰木の地上部バイオマス推定のためのアロメトリックモデル
Allometric models to estimate aboveground biomass of Pinus tecunumanii shade trees growing in agroforestry coffee systems (原題)
Karolína Chalupová, Martin Šrámek, Matěj Kostka, Štěpán Neubauer, Zdeněk Patočka, Lenka Ehrenbergerová
🤖 gxceed AI 要約
日本語
ペルーのアンデス地方におけるコーヒー農林業システムの日陰木Pinus tecunumaniiについて、種特異的なアロメトリック式を開発した。22本の樹木をサンプリングし、DBHと樹高から地上部バイオマスを予測するモデルを構築。1本あたりの炭素蓄積は8.8〜469.2kgと推定され、炭素会計の精度向上と持続可能な管理に貢献する。
English
This study develops species-specific allometric equations for Pinus tecunumanii shade trees in coffee agroforestry systems in the Peruvian Andes. Using 22 sampled trees, power-law and exponential models predicted aboveground biomass from DBH and height, with carbon stocks ranging from 8.8 to 469.2 kg per tree. The model improves carbon accounting precision and supports sustainable management in Latin American coffee landscapes.
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
日本企業が調達するコーヒーのサプライチェーンにおける炭素排出量算定（Scope 3）に関連し、農林業由来の炭素蓄積評価手法として参考になる。ただし、日本のGX政策や開示制度への直接的な示唆は限定的。
In the global GX context
This paper contributes to global carbon accounting methodologies for agroforestry systems, which are relevant for Scope 3 supply chain emissions and nature-based solutions under frameworks like SBTi and CSRD. It provides empirical data for coffee supply chains, though its direct link to corporate disclosure is indirect.
👥 読者別の含意
🔬研究者:アロメトリックモデル開発や炭素蓄積推定の手法に関心のある研究者に有用。
🏢実務担当者:コーヒー調達企業がサプライチェーン炭素排出量を算定する際の基礎データとして活用可能。
🏛政策担当者:農林業分野の炭素クレジットや気候変動緩和策の設計に参考となる。
📄 Abstract（原文）
Abstract Accurate estimation of carbon stocks has become increasingly important considering the global need to understand and mitigate climate change. Species-specific allometric equations are essential tools for obtaining precise estimates of tree biomass, enabling simple and reliable carbon assessment. In South America, particularly in Peru, coffee is commonly cultivated under shade trees such as Pinus tecunumanii , forming agroforestry systems that enhance carbon sequestration. However, information on carbon cycling in coffee-based agroforestry systems remains scarce, and allometric models for this species are still lacking. This study therefore aimed to develop species-specific allometric equations for Pinus tecunumanii , a shade tree used in coffee agroforestry systems in the Peruvian Andes. A total of 22 shade trees were sampled, with diameters at breast height (DBH) ranging from 9.9 to 43.8 cm and total heights (H) from 6.3 to 38 m. Power-law and exponential models were fitted to predict aboveground biomass from DBH and H. On average, aboveground biomass was distributed as follows: 59.8% in the stem, 14.5% in the branches, and 25.8% in the foliage. Using allometric equations, carbon stock per tree ranged from 8.8 to 469.2 kg. The developed model provides a practical and accurate tool for estimating aboveground biomass and carbon stocks in Pinus tecunumanii shade trees within coffee agroforestry systems. Its application will improve the precision of carbon accounting and contribute to sustainable management practices in Latin American coffee landscapes.
🔗 Provenance — このレコードを発見したソース
- openalex https://doi.org/10.1007/s10457-026-01648-8first seen 2026-09-30 04:51:39
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