gxceed
← 論文一覧に戻る

Plantation expansion reshapes water and carbon patterns in Northeast China's forests: A high carbon sink at the cost of inefficient water use

植林拡大が中国東北部の森林の水と炭素パターンを変える:非効率な水利用を代償にした高い炭素吸収源 (AI 翻訳)

Yue Zhao (186573), Junyuan Zhang, Lina Cui, Zhaowang Huang, YiTao Bao, Wenqi Zhang, Xiaodi Wang, Ziqiang Liu

Ecological Indicators📚 査読済 / ジャーナル2026-06-03#気候科学Origin: CN対象セクター: forestry
DOI: 10.1016/j.ecolind.2026.115026
原典: https://doi.org/10.1016/j.ecolind.2026.115026

🤖 gxceed AI 要約

日本語

中国東北部の森林において、植林と天然林の炭素・水収支を比較した研究。植林は高い炭素吸収を示すが、水利用効率は低いことを明らかにした。リモートセンシングと気象データを用いて2005~2020年のGPP、ET、WUEを定量化し、植林地では天然林よりGPPが高いがWUEが低いことを示した。

English

This study compares carbon and water dynamics between plantations and natural forests in Northeast China (2005–2020) using remote sensing and meteorological data. Plantations showed higher gross primary productivity (GPP) and evapotranspiration (ET) but lower water-use efficiency (WUE) than natural forests. Structural equation and random forest models revealed that stand structure and composition were key drivers of WUE. The findings suggest that afforestation enhances carbon uptake but at the cost of higher water consumption.

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

中国の大規模植林政策(例:三北防護林プロジェクト)の生態学的影響を評価する研究。日本の森林管理や炭素吸収源政策にも応用可能な知見を含むが、直接的な日本のGX文脈での言及はない。

In the global GX context

This paper provides empirical evidence on the trade-off between carbon sequestration and water use in plantations, relevant to global afforestation initiatives and carbon accounting. It highlights the need to consider water efficiency in climate mitigation strategies, which is increasingly important under ISSB and TNFD frameworks that address biodiversity and ecosystem services.

👥 読者別の含意

🔬研究者:Provides quantitative evidence of carbon-water trade-offs in plantations vs natural forests, useful for ecosystem modeling and carbon cycle research.

🏢実務担当者:Offers insights for forest managers and carbon offset project developers on the ecological efficiency of plantations.

🏛政策担当者:Informs afforestation policy by highlighting the water cost of carbon sequestration, relevant for national climate and water resource planning.

📄 Abstract(原文)

Climate warming is reshaping forest ecosystems by altering both carbon and water cycles, yet it remains poorly understood whether rapid plantation expansion can match the ecological efficiency of natural forests. This knowledge gap is critical, given global afforestation efforts amidst escalating climate stress. Here, we challenge the simplistic ‘high carbon gain–high water demand’ paradigm by positing that plantations and natural forests operate under fundamentally distinct biogeochemical regimes. Across Northeast China (2005–2020), we integrated multi-source remote sensing and meteorological data to quantify gross primary productivity (GPP), evapotranspiration (ET), and water-use efficiency (WUE). Both forest types increased in GPP, ET, and WUE, yet plantations consistently showed higher GPP and ET but lower WUE. In long-term stable stands, mean WUE was 1.84 g C m −2 mm −1 in natural forests, higher than 1.80 g C m −2 mm −1 in plantations. Mean GPP was 1067.72 g C m −2 in plantations, exceeding 965.42 g C m −2 in natural forests, and its annual increase was markedly greater in plantations (6.04 vs. 5.63 g C m −2 yr −1 ). ET increased significantly in plantations (1.89 mm yr −1 ) but not in natural forests. Structural equation and random forest models revealed contrasting association patterns: stand structural and compositional factors made the largest contribution to WUE in both natural and planted forests, accounting for 60.9% and 52.7% of the total normalized importance, respectively, while soil factors also played an important role in planted forests, contributing 30.1%. These results indicate that plantation expansion in temperate humid forests can enhance carbon uptake, but often was associated with greater water consumption and lower WUE.

🔗 Provenance — このレコードを発見したソース

🔔 こうした論文の新着を逃したくない方は キーワードアラート に登録(無料・3キーワードまで)。

gxceed は公開メタデータに基づく研究支援データセットです。要約・翻訳・解説は AI 支援で生成されています。 最終的な解釈・検証は利用者が原典資料に基づいて行うことを前提とします。