Life cycle greenhouse gas assessment and geographic information system hotspot mapping of biofertilizer application on oil palm plantations.
油ヤシ農園におけるバイオ肥料施用のライフサイクル温室効果ガス評価とGISホットスポットマッピング (AI 翻訳)
Kyle Sebastian Mulya, Malvin Ma, Jian Ping Tan, Kun Sang, Siaw Ping Yeat, Chia Ning Clara Yeat, K. S. Woon
🤖 gxceed AI 要約
日本語
マレーシアの油ヤシ農園を対象に、バイオ肥料の製造から施用までのライフサイクルGHG排出量を定量化。GISを用いてホットスポットを可視化し、化学肥料比39%の排出削減と19%の収量増加を実証。土壌有機炭素が最大の排出源で、地域別の脱炭素政策策定に貢献。
English
This study quantifies life cycle GHG emissions of biofertilizer production and application on oil palm plantations in Malaysia using LCA and GIS hotspot mapping. It shows a 39% reduction in emissions and 19% yield increase compared to chemical fertilizers, with soil organic carbon as the dominant source. The methodology supports region-specific decarbonization policies.
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
日本のパーム油輸入企業にとってScope3排出量削減の参考となる。LCAとGISを組み合わせた手法は、国内の農業分野でのGHG可視化にも応用可能。
In the global GX context
The LCA-GIS methodology provides a transparent, scalable framework for region-specific decarbonization policies in agricultural supply chains, relevant to global climate disclosure and transition finance.
👥 読者別の含意
🔬研究者:Demonstrates a combined LCA and GIS approach for spatial GHG hotspot analysis, applicable to other agricultural systems.
🏢実務担当者:Biofertilizer adoption can reduce GHG emissions and increase yield, offering a sustainable alternative for oil palm plantations.
🏛政策担当者:Identifies regional emission hotspots, enabling targeted policies for fertilizer substitution and soil carbon management.
📄 Abstract（原文）
Oil palm plantations in Malaysia are a significant source of global greenhouse gas (GHG) emissions. While biofertilizers can sustainably substitute for chemical fertilizers, there is a lack of quantitative, site-specific assessments of their efficacy in mitigating GHG emissions, particularly at the national scale. This gap is bridged by establishing a GHG inventory of biofertilizer manufacture and application on oil palm crops, using a GHG quantification model based on Life Cycle Assessment, supported by primary on-site data, and validated with secondary data sources. The GHG performance of the biofertilizer is assessed by mapping GHG hotspots across all oil palm plantations in Malaysia using Geographic Information Systems (GIS). The emissions were quantified from the raw material extraction for biofertilizer production through their application in fields. The study demonstrated that biofertilizer application can reduce life cycle GHG emissions by 39% relative to chemical fertilizers while increasing yield by 19%. Soil organic carbon emissions are the most significant source, accounting for 66% of the life cycle GHG emissions. Its fluctuations are the most critical variable influencing overall GHG performance, whereas other variables, such as chemical fertilizer quantity and crop yield, have comparably negligible impacts on life cycle GHG emissions. The GIS analysis identified that biofertilizer adoption on oil palm plantations could reduce emissions in one state by 13%. Policy recommendations were provided based on these findings. The GHG-GIS methodology serves as a strategic tool for developing transparent, region-specific decarbonization policies and improving environmental performance for manufacturers and operators.
🔗 Provenance — このレコードを発見したソース
- semanticscholar https://doi.org/10.1016/j.jenvman.2026.129559first seen 2026-06-10 05:44:08
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