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The seasonal dominance mechanism of temperature and runoff on the carbon residence time and the dynamic imbalance of carbon cycle in the Pearl River Basin

珠江流域における炭素滞留時間の季節的支配メカニズムと炭素循環の動的不均衡:温度と流出の影響 (AI 翻訳)

Bingyi Wang, Kun Wu, Yulei Xie, Yongxi Sun, Zhentong Wu

Ecological Indicators📚 査読済 / ジャーナル2026-07-18#気候科学Origin: CN
DOI: 10.1016/j.ecolind.2026.115201
原典: https://doi.org/10.1016/j.ecolind.2026.115201

🤖 gxceed AI 要約

日本語

本研究は、珠江流域における植生-リター-土壌連続体の炭素滞留時間(CRT)の季節動態を定量化した。構造方程式モデリングと閾値検出を組み合わせ、温度と流出がCRTに及ぼす影響を評価。冬の炭素損失がRCP8.5シナリオで顕著に増大することを示した。

English

This study quantifies seasonal dynamics of carbon residence time (CRT) in the Pearl River Basin's vegetation-litter-soil continuum using structural equation modeling and threshold detection. Results show that winter carbon loss intensifies under RCP8.5, with NEP declining over 5.58%, and high CRT scenarios reduce carbon use efficiency by 36.1-58.7%.

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

本論文は中国珠江流域の炭素動態に焦点を当てており、日本のGX政策(SSBJやカーボンニュートラル)との直接的な関連性は限定的。ただし、炭素循環モデリング手法は日本の生態系研究に応用可能。

In the global GX context

While focused on a Chinese basin, this paper's approach to quantifying carbon residence time and its seasonal drivers offers methodological insights for global carbon cycle research, relevant to nature-based climate solutions and ecosystem accounting under frameworks like TNFD.

👥 読者別の含意

🔬研究者:Provides a robust method for linking hydrothermal variability to carbon cycle disequilibrium, useful for ecosystem modelers.

📄 Abstract(原文)

The seasonal dynamics of carbon residence time (CRT) and its regulatory mechanisms under climate change remain insufficiently quantified, particularly regarding the interactions between temperature and runoff on CRT. This study systematically quantified the seasonal dynamics of CRT in vegetation-litter-soil continuum ecosystems across spring, summer, and winter in the Pearl River Basin, China. An integrated approach combining structural equation modeling, threshold detection, and scenario prediction analysis was used. The associations among monthly average temperature (AMT), surface runoff (SFR), ecosystem CRT, net ecosystem productivity (NEP), and ecosystem carbon use efficiency (CUEe) were evaluated to examine a potential pathway linking hydrothermal variability with carbon-cycle disequilibrium. The results reveal how seasonal CRT variation is associated with changes in NEP and CUEe, providing evidence that carbon-cycle disequilibrium in the Pearl River Basin is organized by season-specific hydrothermal conditions rather than representing a simple input-output mismatch. Scenario simulations indicated season-dependent CRT responses under future hydrothermal changes, with the strongest increase projected in winter. Winter carbon loss was markedly intensified under RCP8.5, as indicated by a NEP decline of more than 5.58%. A 23%–29.7% increase in CRT was associated with a 4.13%–5.51% higher probability of NEP transitioning from carbon source to sink, whereas high-CRT scenarios were associated with a 36.1%–58.7% reduction in CUEe.

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