近日，北京师范大学何斌团队研究了不同时间尺度湖泊和水库二氧化碳通量的主要环境影响因子。2025年12月11日出版的《中国科学：地球科学》发表了这项成果。

湖泊在内陆水域碳交换中起着关键作用，然而确定影响湖泊二氧化碳通量（FCO₂）的因素仍具挑战性。

研究组综合了来自19个湖泊和8座水库（统称为湖泊）共计332个月的涡度协方差测量数据，以识别多时间尺度上影响FCO2的主导环境因子，并探讨不同湖泊类型间的二氧化碳交换机制。结果发现，湖泊pH值升高会增加系统成为碳汇的可能性。影响FCO₂的主导因子在不同时间尺度上差异显著：日尺度上以辐射相关因子为主，多日尺度以能量交换相关因子为主，季节尺度则主要受温度相关因子影响。相对互信息分析进一步揭示，这些主导因子的滞后效应因湖泊类型而异。

在日尺度主导因子方面，酸性、中性和碱性湖泊对短波辐射输入的滞后时间分别为-0.3±0.5天、0.4±0.9天和0.2±0.7天。多日尺度主导因子——感热通量在酸性湖泊中也呈现最短滞后响应。在季节尺度上，温度的滞后效应变化更大，表明在更长时间尺度上，主导因子对FCO2的影响及其滞后关系更为多样复杂。研究组强调，在跨湖泊类型进行尺度外推和普适化时，多站点数据整合至关重要。理解湖泊FCO₂的驱动机制有助于改进未来模拟，并更精准估算湖泊碳收支。

附：英文原文

Title: Dominant environmental influencing factors of carbon dioxide fluxes in lakes and reservoirs at different time scales

Author: Xiangqi HE, Ankur DESAI, Ivan MAMMARELLA, Xixi LU, Xiaoyan LI, Huizhi LIU, Uwe SPANK, Lanlan GUO, Hongtao XU, Yang CHU, Xingming HAO, Bin HE

Issue&Volume: 2025/12/11

Abstract: Lakes play a crucial role in the carbon exchange of inland waters. However, determining the factors influencing carbon dioxide fluxes (FCO2) from lakes remains challenging. Here, we synthesize 332months of eddy covariance measurements from 19 lakes and 8 reservoirs (collectively referred to as lakes) to identify the dominant environmental factors of FCO2 across multiple timescales and to explore the carbon dioxide (CO2) exchange mechanisms among different lake types. We found that increasing lake pH enhances the likelihood of the system acting as a carbon sink. The dominant factors influencing FCO2 differ markedly across timescales: radiation-related factors at the diel scale, energy exchange-related factors at the multi-day scale, and temperature-related factors at the seasonal scale. Relative mutual information results further reveal that the lags of these dominant factors vary among lake types. For the dominant factor on the diel scale, the lags of shortwave radiation incoming in acidic, neutral, and alkaline lakes are 0.3±0.5 days, 0.4±0.9 days, and 0.2±0.7 days, respectively. The multi-day scale dominant factor, sensible heat, also has the shortest lags in acidic lakes. Seasonally, the lags of temperatures are more variable, indicating the influence of dominant factors on FCO2 and the lagged relationships are more diverse and complex on longer time scales. Our study highlights the importance of multi-site synthesis when extrapolating and generalizing scales across lake types. Understanding the drivers and mechanisms for lake FCO2 can help improve future simulations and the accurate estimation of lake carbon budgets.

DOI: 10.1007/s11430-025-1752-7

Source: https://www.sciengine.com/SCES/doi/10.1007/s11430-025-1752-7