数字农科院2.0

Contrasting Exogenous and Endogenous Soil Microbial Carbon Use Efficiencies Under Global Changes

文献类型： 外文期刊

作者： Sun, Xiaodong;Zhang, Chenyang;Zhou, Zhenghu;Kuzyakov, Yakov;Luo, Yiqi;Wang, Xuhui;Qin, Xiaobo;Wang, Bin;Li, Yue;Xu, Minggang;Cai, Andong

作者机构：

关键词： carbon input;drought;global changes;microbial endogenous carbon use efficiency;microbial exogenous carbon use efficiency;nutrient inputs;warming

期刊名称： GLOBAL ECOLOGY AND BIOGEOGRAPHY

ISSN： 1466-822X

年卷期： 2025 年 34 卷 4 期

页码：

收录情况： SCIE（2025版）

摘要： AimMicrobial carbon use efficiency (CUE) is one of the key indicators for the formation and release of soil carbon. CUE can be divided into exogenous CUE (CUEex, efficiency in using external carbon sources measured by e.g. 13C or 14C labeling) and endogenous CUE (CUEen, efficiency in using internal carbon sources measured by 18O labeling). Global changes strongly influence CUE, which response depends on the carbon source. However, the effect size and drivers of CUEex and CUEen responses to global changes remain unclear, leading to large uncertainties when forecasting terrestrial carbon cycling. We aimed to quantify the magnitude and direction of microbial CUEex and CUEen responses to global changes.LocationGlobal.Time Period2011-2024.Major Taxa StudiedSoil microorganisms.MethodsDatabase containing 213 paired microbial CUEex and 155 paired microbial CUEen data was integrated and meta-analysed to assess the impacts of global change factors on microbial CUE. Additional information gathered encompassed latitude, longitude, climate, plant properties, soil properties, microbial properties and experimental conditions.ResultsWe found that CUEex decreased with absolute latitude, while CUEen showed the opposite trend. Warming reduced CUEex and CUEen by 3.6% and 16.5%, respectively. Drought increased CUEex by 7.9%, but decreased CUEen by 14.3%. Nutrient inputs consistently decreased CUEex by 5.0%-17.1%, while nitrogen and nitrogen combined with phosphorus and potassium inputs increased CUEen by 25.5% and 43.1%, respectively. Aridity index, soil pH and cation exchange capacity were the main factors influencing microbial CUEex. In contrast, microbial respiration and growth rates, followed by microbial biomass, were the major predictors of microbial CUEen.Main ConclusionsBiogeochemical models should account for the opposite spatial patterns of microbial CUEex and CUEen, as well as their respective specific drivers under global changes, to accurately predict microbial responses to various carbon sources.

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