Carbon Footprint of Roundwood and Woodchip Processing in the Northeastern US: A Case Study
米国北東部における丸太とウッドチップ加工のカーボンフットプリント：事例研究 (AI 翻訳)
Alex K. George, Anil Raj Kizha, Ashish Alex, Libin T. Louis, Harikrishnan Soman
🤖 gxceed AI 要約
日本語
米国北東部の4つの林産物加工工程（チップミル、広葉樹製材所、針葉樹製材所、林内チッピング）のカーボンフットプリントをLCAで定量化。輸送が主要な排出源である工程と、原材料が主要な工程があることを示し、機能単位あたり21.7～73.7kg CO2 eqの排出量を報告。
English
This study quantifies the carbon footprint of four forest product processing operations (chip mill, hardwood sawmill, softwood sawmill, in-woods chipping) in the Northeastern US using LCA. It finds transportation is the highest contributor for chip mill and softwood sawmill, while raw materials dominate for others. Carbon footprints range from 21.7 to 73.7 kg CO2 eq per functional unit.
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
日本の林業・木材産業でもカーボンフットプリント算定が進んでおり、本論文のLCA手法や輸送影響の分析は参考になる。ただし、対象地域が米国北東部であり、日本の森林・物流事情とは異なる点に注意。
In the global GX context
This paper provides a detailed LCA of forest product supply chains, relevant to global carbon accounting and renewable resource management. It highlights the role of transportation in emissions, which is critical for supply chain decarbonization strategies worldwide.
👥 読者別の含意
🔬研究者:Provides LCA methodology and emission factors for forest product processing, useful for carbon footprint research.
🏢実務担当者:Offers benchmarks for carbon footprint of wood products, aiding sustainability reporting and supply chain optimization.
🏛政策担当者:Informs policies on forest-based carbon accounting and renewable energy feedstock sustainability.
📄 Abstract（原文）
As the global climate change mitigation efforts urge the transition towards a green economy, comprehending the carbon footprint of forest industry supply chain is crucial to ensure sustainable management and utilization of renewable resources. This research quantified the carbon footprint of four different forest product industries: chip mill, hardwood sawmill, softwood sawmill, and in-woods chipping in the Northeastern U.S. Additionally, the impact of transportation (road and rail) on carbon footprint was analyzed. Life cycle assessment (LCA) was performed using SimaPro 9.3.0.3 software and allied databases (USLCI and US-EI). The functional unit was 1 tonne for chip mill (wood chips) and 1 m3 for sawmill (planks). The highest-contributing inputs for the chip mill and softwood sawmill were transportation. However, in-woods chipping and the hardwood sawmill had raw materials, residual wood, and round wood as the highest-contributing input. The study also enumerated the substances that contributed most to environmental impacts. The carbon footprint of chip mill, in-woods chipping, hardwood, and softwood sawmill were 49.5, 21.7, 72.9, and 73.7 kg CO2 eq per respective functional units, respectively. The results could assist the forest industry in promoting wood feedstock with a minimal carbon footprint and have educated engagement in an ever-evolving carbon market.
🔗 Provenance — このレコードを発見したソース
- openalex https://doi.org/10.3390/f17040457first seen 2026-05-05 19:11:42
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