Can sustainable farming make olive groves carbon neutral? Empirical evidence from Mediterranean Portugal
持続可能な農業はオリーブ園をカーボンニュートラルにできるか?ポルトガル地中海地域からの実証的証拠 (AI 翻訳)
Evangelina Pareja Sánchez, Sergio Prats, Roberto García-Ruiz, Anna De Luca, José Muñoz‐Rojas
🤖 gxceed AI 要約
日本語
本研究は、ポルトガル・アレンテージョのオリーブ園6か所において、統合的、有機的、バイオダイナミック有機農法の炭素収支とフットプリントを評価。高い炭素投入により土壌有機物が増加し、正の炭素収支(+1.0 Mg C ha-1 yr-1程度)を示す一方、低投入区では変動が大きかった。CO2排出量は農法間で類似するが、正味排出量は高投入区で大幅に低く(約140 kg CO2 eq ha-1 yr-1)、炭素農法の有効性を実証した。
English
This study assessed carbon balance and footprint of six olive groves in Alentejo, Portugal under integrated, organic, and biodynamic-organic systems. High carbon input groves consistently showed positive carbon balance (~+1.0 Mg C ha-1 yr-1) and substantially lower net CO2 emissions (~140 kg CO2 eq ha-1 yr-1) compared to low-input groves (~1650 kg CO2 eq ha-1 yr-1). Findings support carbon farming as a key climate mitigation strategy in Mediterranean agriculture.
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
日本でも農業分野のGX(みどりの食料システム戦略等)が進む中、本研究成果は炭素投入量の増加が管理手法の変更よりも効果的であることを示し、日本の農地における炭素貯留策の優先順位付けに示唆を与える。
In the global GX context
This paper provides empirical evidence from Mediterranean Portugal that increasing carbon inputs (e.g., organic amendments) is more effective than changing management type (organic vs. integrated) for enhancing carbon sequestration in olive groves. It contributes to the global carbon farming debate and could inform future agricultural carbon crediting methodologies under frameworks like the EU's Carbon Removal Certification Framework.
👥 読者別の含意
🔬研究者:Researchers in agricultural carbon accounting will find empirical data on carbon balance under different management systems, highlighting the role of carbon inputs versus management type.
🏢実務担当者:Farmers and sustainability managers can use the findings to prioritize increasing organic carbon inputs (e.g., compost) over switching to organic certification for carbon neutrality.
🏛政策担当者:Policymakers designing agricultural climate mitigation strategies can leverage the evidence that carbon inputs are a key lever, supporting carbon farming policies and incentives.
📄 Abstract(原文)
Abstract Agriculture contributes to greenhouse gas emissions while also offering potential as a carbon sink. However, the capacity of Mediterranean olive groves to offset their emissions remains poorly quantified, particularly as different cultivation models may vary substantially in their contributions to carbon sequestration and emissions, highlighting the need for comparative assessment to inform sustainable management and climate mitigation. This study assessed the carbon balance and footprint of six olive groves in Alentejo, Portugal, managed under integrated, organic, and biodynamic-organic systems. The groves were classified as low or high carbon input systems based on annual soil carbon inputs. Results showed that soil organic matter was more strongly influenced by carbon inputs than by the management system. High-input groves consistently exhibited a positive carbon balance (around +1.0 Mg C ha −1 yr −1 ), whereas low-input groves showed more variable results, with values ranging from net carbon losses to modest gains. CO₂ emissions from agricultural operations were similar across systems (approximately 3200–3400 kg CO₂ eq ha −1 yr −1 ), but net emissions were substantially lower in high-input groves (∼140 kg CO₂ eq ha −1 yr −1 ) compared to low-input groves (∼1650 kg CO₂ eq ha −1 yr −1 ). These findings highlight that increasing annual carbon inputs is more effective than changing management type for enhancing carbon sequestration and reducing net CO₂ emissions in olive groves, supporting carbon farming as a key strategy for climate change mitigation in Mediterranean agricultural systems.
🔗 Provenance — このレコードを発見したソース
- openalex https://doi.org/10.1088/2515-7620/ae675efirst seen 2026-05-21 04:35:24
🔔 こうした論文の新着を逃したくない方は キーワードアラート に登録(無料・3キーワードまで)。
gxceed は公開メタデータに基づく研究支援データセットです。要約・翻訳・解説は AI 支援で生成されています。 最終的な解釈・検証は利用者が原典資料に基づいて行うことを前提とします。