Advancing carbon estimation in harvested wood products in the United States: a case study in the Northern Lake States, USA
米国における収穫木材製品の炭素推定の進展:北部湖沼州の事例研究 (AI 翻訳)
Joseph M. Nash, Grant M. Domke
🤖 gxceed AI 要約
日本語
本研究は、米国森林調査データを収穫木材製品(HWP)の炭素推定に統合し、森林生態系との一貫性を改善する手法を提示する。1900~2024年の期間で、北部湖沼州のHWP炭素蓄積量は製品使用中で277.0 MMT C、最終処分場で155.2 MMT Cと推定された。この手法は国・州レベルのデータを活用し、HWP推定の精度向上と不確実性低減に貢献する。
English
This study integrates harvest data from the US Forest Inventory and Analysis (FIA) program into harvested wood products (HWP) carbon estimation, improving consistency with forest ecosystem estimates. For the northern Lake States region (1900-2024), total net carbon accumulation was 277.0 MMT C in products in-use and 155.2 MMT C in solid waste disposal sites. The methodology enables disaggregation of coarse data and integration of entity-level data, reducing uncertainty.
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
日本でも収穫木材製品(HWP)の炭素推定は温室効果ガスインベントリの一部であり、本手法は森林調査データとHWP推定の統合を改善する点で、日本の森林炭素会計にも応用可能性がある。
In the global GX context
This paper provides a methodology to integrate national forest inventory data with HWP carbon estimation, improving consistency in national GHG reporting under the UNFCCC. It addresses a gap between forest ecosystem and product carbon estimates, relevant for countries with forest inventories.
👥 読者別の含意
🔬研究者:For researchers in carbon accounting and forest carbon dynamics, this paper offers a methodology to integrate forest inventory data with HWP carbon estimation, improving consistency and reducing uncertainty.
🏛政策担当者:Policymakers involved in national GHG inventory reporting can benefit from this approach to enhance the accuracy and consistency of HWP carbon estimates, supporting international reporting obligations.
📄 Abstract(原文)
BACKGROUND: Carbon stocks and stock changes in harvested wood products (HWPs) are an important part of land sector greenhouse gas (GHG) estimation and reporting. HWPs broadly categorized as products in-use (e.g., solid wood and paper products) and in solid waste disposal sites (SWDS; e.g., landfills), store carbon transferred from harvested trees. In the United States (US), estimates of carbon in HWPs have historically been reported in the US GHG Inventory and included in submissions to the United Nations Framework Convention on Climate Change. These data have been obtained from national and international statistics on production and consumption of forest products and incorporated into a compilation system to estimate carbon in products in-use and in SWDS. In contrast, estimates of carbon in forest ecosystems have been obtained from nationwide forest inventory (NFI) data collected and maintained by the US Forest Service, Forest Inventory and Analysis (FIA) program. Here we describe a case study for the northern Lake States region of the US (Michigan, Minnesota, Wisconsin) where harvest data from the FIA program were integrated into HWP compilation systems. This advance improves consistency and continuity with forest ecosystem from NFI plots with estimates of HWPs. RESULTS: Over the 1900-2024 time period, total estimated net accumulation (i.e., balance of additions from transfers of harvested wood from forest ecosystems and losses from decay of wood harvested in the past) of carbon stored in products in-use was 277.0 ± 17.5 Million Metric Tons (MMT) Carbon (C) and in SWDS was 155.2 ± 9.8 MMT C. We estimate that HWPs from the region represent a carbon sink of 4.9 ± 0.1 MMT C in 2024. These estimates include HWPs produced in the region and exported domestically or internationally, as well as any HWPs produced and retained in the region, but not imports. CONCLUSIONS: The proposed methodology enables disaggregation with coarse national and state-level FIA data, and allows for integration of more specific, entity-level data to improve precision and reduce uncertainty in HWPs estimates in the US and improves consistency and continuity with forest ecosystem estimates across spatial and temporal scales.
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- openalex https://doi.org/10.1186/s13021-026-00464-yfirst seen 2026-06-29 04:48:12 · last seen 2026-06-29 04:51:14
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