Spatio-temporal changes of biomass carbon stocks in China’s mixed forests
中国の混交林におけるバイオマス炭素ストックの時空間変化 (AI 翻訳)
Gaoyang Wu, Zhen Yu, Feng Zhou, Wangya Han, Guoyi Zhou, Shirong Liu
🤖 gxceed AI 要約
日本語
この研究は、中国の混交林におけるバイオマス炭素ストックの1999年から2018年までの変化を、全国森林調査データとリモートセンシングを統合して定量化しました。その結果、炭素ストックは約4倍に増加し、その大部分は純林から混交林への転換によるものでした。この発見は、炭素中立目標に向けた森林炭素吸収源の推定精度向上に貢献します。
English
This study quantifies spatio-temporal changes in biomass carbon stocks of China's mixed forests from 1999 to 2018 using National Forest Inventory data and remote sensing. Carbon stocks increased nearly fourfold, mainly due to conversion from pure stands to mixed forests. The results improve accuracy of national carbon sink assessments for carbon neutrality targets.
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
中国の混交林炭素ストックの実証分析は、日本の森林炭素吸収源評価にも示唆を与えます。特に、森林タイプの転換が炭素蓄積に大きな影響を与える点は、日本の森林管理政策においても考慮すべき要素です。ただし、本研究は中国に焦点を当てており、直接的な日本の政策連動は限定的です。
In the global GX context
This paper provides empirical evidence on the dominant role of forest-type transitions in carbon accumulation, which is relevant for global carbon sink projections. It underscores the importance of including dynamic forest-type changes in national climate mitigation strategies, beyond simple area-based estimates. The methods combining NFI and remote sensing are applicable to other countries.
👥 読者別の含意
🔬研究者:This study offers a robust methodology for quantifying forest carbon stock changes and highlights the significance of forest-type transitions, which researchers can use to improve carbon sink models.
🏛政策担当者:National climate policymakers should note the critical role of mixed forest management and forest-type transitions in achieving carbon neutrality targets.
📄 Abstract（原文）
Abstract Mixed forests represent the largest contributor to China’s forest carbon sink, yet their spatio-temporal changes in biomass carbon stocks remain insufficiently quantified, limiting the accuracy of national carbon sink assessments under the carbon neutrality target. Here, we integrated National Forest Inventory (NFI) data with multi-source remote-sensing products to quantify the changes in biomass carbon stocks of mixed forests across China from 1999 to 2018. The NFI dataset comprises approximately 26,000 plots nationwide, with plot sizes ranging from 600 to 800 m 2 . Biomass carbon changes were attributed to distinct ecological and management processes, including natural growth, succession from pure forests, afforestation-driven expansion, and conversion-related losses. We found that biomass carbon stocks in China’s mixed forests increased continuously from 968.63 ± 109.2 Tg C (1 Tg C = 10 12 g C) in 1999 to 3833.39 ± 278.3 Tg C in 2018. The conversion of pure stands into mixed forests accounted for approximately 84.8% of this increase (2709.15 ± 320.2 Tg C), followed by area expansion (25.8%; 713.33 ± 136.9 Tg C) and natural growth (19.7%; 598.7 ± 122.7 Tg C), partially offset by an estimated 30.4% loss (− 929.78 Tg C) due to conversion from mixed forests to other forest types. Our findings provide empirical evidence for the dominant role of forest-type transitions in driving China’s forest carbon accumulation and underscore the necessity of incorporating mixed-forest management and dynamic forest-type transitions into national climate mitigation and carbon sink projections.
🔗 Provenance — このレコードを発見したソース
- openalex https://doi.org/10.1007/s11676-026-02067-2first seen 2026-05-20 05:16:52
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