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The Italian forest carbon sink: historical evolution and future projections under alternative harvest scenarios.

イタリアの森林炭素吸収源:歴史的進化と代替伐採シナリオ下での将来予測 (AI 翻訳)

R. Pilli, E. Cienciala, Kevin Black

Carbon Balance and Management📚 査読済 / ジャーナル2026-07-18#炭素会計Origin: EU対象セクター: agriculture
DOI: 10.1186/s13021-026-00486-6
原典: https://doi.org/10.1186/s13021-026-00486-6
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🤖 gxceed AI 要約

日本語

イタリアの森林炭素吸収量を地域別にモデル化し、伐採率の不確実性が吸収源に与える影響を評価。歴史的には2005年から2023年にかけて吸収量が増加し、2070年までに伐採率に応じて-76から-16 Tg CO2/年の範囲で変化する。木材製品の寄与は無視できる程度であり、EU森林戦略に沿った長期評価を提供する。

English

This study models Italian forest carbon sink at regional level, assessing the impact of harvest rate uncertainty. Historical sink increased from -40 to -55 Tg CO2/yr (2005-2023). Future projections to 2070 show sink varying from -76 to -16 Tg CO2/yr depending on harvest scenarios. Harvested wood product contribution is negligible. The framework aligns with the New EU Forest Strategy and can inform other countries.

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

日本でも森林吸収源はGHG排出削減目標の達成に重要。イタリアのボトムアップモデルは、日本の森林炭素会計の精度向上や伐採方針の検討に参考となる。

In the global GX context

This paper provides a robust bottom-up forest carbon modeling framework that aligns with the New EU Forest Strategy. It offers insights on balancing wood production and carbon storage, relevant for countries updating their GHG inventories under UNFCCC.

👥 読者別の含意

🔬研究者:Forest carbon modelers can adopt the regional modeling approach and sensitivity analysis for harvest uncertainty.

🏢実務担当者:Forestry managers and carbon project developers can use the scenario analysis to evaluate trade-offs between harvest and carbon sequestration.

🏛政策担当者:Policy officials can leverage this framework to design evidence-based forest strategies balancing climate mitigation and wood supply.

📄 Abstract(原文)

BACKGROUND In 2023, forests offset approximately 9% of total GHG emissions in the EU-27, with Italy accounting for about 20% of these offsets. Historical felling rates, in Italy, are highly uncertain, with a ± 50% confidence interval. In this study, we used a forest carbon inventory model, scaled at regional level, to assess the overall impact of the harvest uncertainty on the Italian forest carbon (C) sink. The analysis included most recent information from the literature and an ancillary assessment of the harvested wood product mitigation potential. Based on this assessment, we estimate the evolution of the forest C sink to 2070, under different harvest scenarios defined by an increasing felling rate relative to the net annual increment estimated by the model on forest area available for wood supply. RESULTS Comparison of our results with the Italian GHGI data shows an overall good fit with the living biomass sink, but significantly higher removals by the dead organic matter pool. For the historical period, the modelled total C sink increases from -40 Tg CO2 yr-1 in 2005 to -55 Tg CO2 yr-1 in 2023. The future forest C sink varied between -76 Tg CO2 yr-1 and -16 Tg CO2 yr-1 by 2070, corresponding to the lowest (0.10) and highest (0.90) felling to net annual increment ratios, respectively. Our analysis confirms that the contribution of harvested wood products to the total C sink is negligible, as the Italian forest sector predominantly channels timber extraction into energy production. CONCLUSIONS Between 2005 and 2023, the impact of harvest uncertainty on the total forest C sink averaged 11 Tg CO2 yr-1, representing about ± 23% of the C sink associated with the average harvest reported in the literature for the same period. By simulating the theoretical forest C sink dynamics under different felling rates, and by excluding any possible impacts of climate change on current growth conditions, our study provides a long-term assessment of wood production potential versus carbon storage capacity. This bottom-up modelling framework aligns with the New EU Forest Strategy and can serve as a model for other European countries.

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