Plant growth strategy determines the magnitude and direction of drought‐induced changes in root exudates in subtropical forests

生物 亚热带 根系 共生 营养物 农学 植物 生态学 生物化学 遗传学 细菌
作者
Zheng Jiang,Yuling Fu,Lingyan Zhou,Yanghui He,Guiyao Zhou,Peter Dietrich,Jilan Long,Xinxin Wang,Shuxian Jia,Yuhuang Ji,Zhen Jia,Bingqian Song,Ruiqiang Liu,Xuhui Zhou
出处
期刊:Global Change Biology [Wiley]
卷期号:29 (12): 3476-3488 被引量:49
标识
DOI:10.1111/gcb.16685
摘要

Root exudates are an important pathway for plant-microbial interactions and are highly sensitive to climate change. However, how extreme drought affects root exudates and the main components, as well as species-specific differences in response magnitude and direction, are poorly understood. In this study, root exudation rates of total carbon (C) and its components (e.g., sugar, organic acid, and amino acid) were measured under the control and extreme drought treatments (i.e., 70% throughfall reduction) by in situ collection of four tree species with different growth rates in a subtropical forest. We also quantified soil properties, root morphological traits, and mycorrhizal infection rates to examine the driving factors underlying variations in root exudation. Our results showed that extreme drought significantly decreased root exudation rates of total C, sugar, and amino acid by 17.8%, 30.8%, and 35.0%, respectively, but increased root exudation rate of organic acid by 38.6%, which were largely associated with drought-induced changes in tree growth rates, root morphological traits, and mycorrhizal infection rates. Specifically, trees with relatively high growth rates were more responsive to drought for root exudation rates compared with those with relatively low growth rates, which were closely related to root morphological traits and mycorrhizal infection rates. These findings highlight the importance of plant growth strategy in mediating drought-induced changes in root exudation rates. The coordinations among root exudation rates, root morphological traits, and mycorrhizal symbioses in response to drought could be incorporated into land surface models to improve the prediction of climate change impacts on rhizosphere C dynamics in forest ecosystems.
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