Interactions between nitrogen and phosphorus in modulating soil respiration: A meta-analysis

文献类型： 外文期刊

第一作者： Zheng, Xiaoying

作者： Zheng, Xiaoying;Zhang, Yun;Zhang, Ye;Cui, Yufei;Wu, Juying;Zhang, Weiwei;Zou, Junliang;Zheng, Xiaoying;Zhang, Ye;Wang, Dongli

作者机构：

关键词： Nutrient limitation; Nitrogen deposition; Phosphorus deposition; Heterotrophic respiration; Autotrophic respiration; Terrestrial ecosystems

期刊名称：SCIENCE OF THE TOTAL ENVIRONMENT （ 影响因子：9.8； 五年影响因子：9.6 ）

ISSN： 0048-9697

年卷期： 2023 年 905 卷

页码：

收录情况： SCI

摘要： Background: Economic and social development worldwide increases the input of nutrients, especially nitrogen (N) and phosphorus (P), to soils. These nutrients affect soil respiration (Rs) in terrestrial ecosystems. They may act independently or have interactive effects on Rs. The effect of N and P on Rs and its components (autotrophic respiration [Ra] and heterotrophic respiration [Rh]), however, either individually or together, is poorly understood. We performed a meta-analysis of 130 studies to examine the effects of different fertilization treatments on Rs and its components across terrestrial ecosystems. Results: Our results showed that (1) The impact of fertilizer addition on Rs varies among different fertilizer types. N addition reduced Rs and Rh significantly but did not affect Ra; P addition had no significant effect on Rs, Rh, and Ra; NP addition increased Rs significantly but did not affect Rh and Ra. (2) Ecosystem type, duration of fertilization, fertilization rate, and fertilizer form influenced the response of Rs and its components to fertilizer application. (3) Based on our study, the annual average temperature may be a driving factor of Rs response to fertilizer addition, while soil total nitrogen may be an important predictor of Rs response to fertilizer addition.Conclusion: Overall, our study highlights the complex and multifaceted nature of the response of soil Rs and its components to fertilizer application, underscoring the importance of considering multiple factors when predicting and modeling future Rs and its feedback to global change.

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