オイルパーム農園における気候緩和・適応性能の評価：インドネシアからのエビデンス
Characterising climate mitigation and adaptation performance in oil palm plantation: evidence from Indonesia (原題)
Lisma Safitri, Marcelo Valadares Galdos, Iput Pradiko, Alexis Comber, Andrew Juan Challinor
🤖 gxceed AI 要約
日本語
インドネシア北スマトラの鉱質土壌オイルパーム25サイトをAPSIM-OilPalmモデルでシミュレーションし、生産性と炭素収支を評価した。炭素吸収は主にバイオマス蓄積に由来し土壌・管理条件の影響は小さかったが、高密度植栽と窒素施肥が緩和・適応両面で高性能サイトと関連した。過半のサイトで収量・土壌有機炭素の適応課題が残り、気候に優しい農園の検証枠組みを提示する。
English
Using the APSIM-OilPalm model, this study simulated productivity and carbon balance across 25 industrial oil palm sites on mineral soils in North Sumatra, Indonesia. Carbon sinks were low-variability and driven mainly by biomass accumulation, with soil and management showing limited influence; high mitigation-adaptation performance linked to higher plant density and nitrogen fertilisation. Over half the sites still face yield and SOC adaptation challenges, and the work offers a framework for verifying climate-friendly sites.
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
日本企業はパーム油を食品・化粧品・バイオ燃料原料として調達しており、EUDR対応やScope 3上流排出の算定に資する農園レベルの炭素収支エビデンスとして参考になる。SSBJのScope 3開示や持続可能な調達方針の裏付けに活用しうる。
In the global GX context
Adds site-level empirical evidence on whether 'climate-friendly' agricultural commodities actually deliver mitigation, relevant to Scope 3 upstream accounting, EUDR due diligence, and emerging agricultural carbon-removal claims under CSRD/ISSB disclosure.
👥 読者別の含意
🔬研究者:作物モデルと炭素収支を組み合わせた農園レベルの緩和・適応評価手法の実例として参照できる。
🏢実務担当者:パーム油調達先の気候性能を検証する際の評価軸（植栽密度・施肥・土壌）の参考になる。
🏛政策担当者:「気候に優しい」農産物認証の科学的裏付けと検証枠組み設計に示唆を与える。
📄 Abstract（原文）
CONTEXTDespite growing demand for “climate-friendly” palm oil, little is known about how existing soil and management conditions align with climate mitigation and adaptation goals.OBJECTIVEThis study characterised the climate mitigation and adaptation performance of oil palm (OP) production across different soil and management conditions using a robust spatiotemporal estimate of productivity and carbon balance.METHODSThe Agricultural Production Systems Simulator (APSIM)-OilPalm model was used to simulate productivity and carbon balance in 25 industrial OP sites on mineral soils in North Sumatra, Indonesia. K-means clustering identified groupings based on simulated productivity and carbon balance with observed soil and management characteristics.RESULTS AND CONCLUSIONSSimulated OP productivity exhibited moderate variability, indicating good agreement with observed data in ideal conditions (MAE 2.37–5.30 tFFB ha⁻¹ yr⁻¹). Spatiotemporal OP carbon balance showed low-variability carbon sinks (−2.09 to −3.86 tCeq ha⁻¹ yr⁻¹), primarily driven by biomass accumulation, while variations in soil and management had minimal influence. These findings underscore the potential of OP on mineral soils to act as carbon sinks while highlighting significant temporal contributions from CO₂ emissions and SOC changes. Clustering revealed that high-performing climate mitigation and adaptation sites were linked to higher plant density and nitrogen fertilisation, with moderate sand content and Ganoderma boninense infection. However, challenges remain, particularly in adaptation for yield and SOC increments, affecting over half of the sites.SIGNIFICANCEBy characterising climate mitigation and adaptation performance, this research identifies key soil and management factors, improvement opportunities, and a framework for verifying climate-friendly sites to support a more resilient global supply of vegetable oil.
🔗 Provenance — このレコードを発見したソース
- openalex https://doi.org/10.3389/fsufs.2026.1871877first seen 2026-11-05 04:50:39 · last seen 2026-11-06 04:34:18
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