Journal of Plant Ecology ›› 2022, Vol. 15 ›› Issue (5): 882-896.DOI: 10.1093/jpe/rtac005

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  • 收稿日期:2021-06-08 修回日期:2021-10-03 接受日期:2021-11-09 出版日期:2022-09-01 发布日期:2022-09-16

Biotic effects dominate the inter-annual variability in ecosystem carbon exchange in a Tibetan alpine meadow

Mingjie Xu1, Yi Sun2, Tao Zhang1, *, Yangjian Zhang3,4,5, *, Juntao Zhu3,4, Yongtao He3,5, Liwei Wang1 and Guirui Yu3,5   

  1. 1 College of Agronomy, Shenyang Agricultural University, Shenyang 110866, China, 2 Huludao Meteorological Bureau of Liaoning Province, Huludao 125080, China, 3 Key Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China, 4 Center for Excellence in Tibetan Plateau Earth Sciences, Chinese Academy of Sciences, Beijing 100101, China, 5 College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100049, China

    *Corresponding author. E-mail: zhangt@syau.edu.cn (T.Z.); zhangyj@igsnrr.ac.cn (Y.Z.)
  • Received:2021-06-08 Revised:2021-10-03 Accepted:2021-11-09 Online:2022-09-01 Published:2022-09-16

摘要: 青藏高寒草甸生态系统碳交换年际变异主要受生物效应影响
位于西藏的高寒草甸生态系统具有敏感脆弱的特点,在全球气候变化背景下,其碳汇功能的变化受到了广泛的关注。因此,本研究旨在明确高寒草甸碳通量的年际变异特征,并进一步量化各驱动因素对碳通量变异的贡献。本研究基于7年(2012–2018)的碳通量与气象因子和生物因子数据,采用一组查表法(look-up tables,LUTs)对高寒草甸碳通量的年际变异来源进行了拆分和量化,并进一步利用线性扰动分析法量化了各个关键因子对碳通量变异的贡献。2012–2018年,高寒草甸生态系统净生产力(net ecosystem productivity, NEP)、总初级生产力(gross primary productivity, GPP)和生态系统呼吸(ecosystem respiration, Re)多年平均值分别为3.31 ± 26.90、210.18 ± 48.35和206.88 ± 28.45 g C m−2 y−1,表现出了较大的年际变异。本研究通过区分和量化气象因子和生物因子对碳通量年际变异的贡献,发现了生物因子对年际变异的主控作用。此外,发现了气象因子和生物因子之间的负反馈作用。在气象因子中,只有土壤水分对年际变异的贡献相对较大,并在气象因子和生物因子的相互作用中发挥着调节作用。这些结果表明,在气候变化背景下,若要准确估算碳通量,需考虑生物因子的作用。


关键词: 生物控制, 气象控制, 碳通量, 生产力, 草地

Abstract:

The alpine meadow ecosystem in Tibet is fragile and sensitive, and its carbon sink function with respect to climate change has become a matter of widespread concern. Therefore, this study aims to clarify the inter-annual variations (IAVs) in the carbon fluxes in an alpine meadow and to further quantify the contributions of the driving factors to the IAVs. Based on 7 years of flux data (2012–2018) and the corresponding climatic and biotic data, a set of look-up tables was used to separate and quantify the IAV sources. Furthermore, linear perturbation analyses were employed to quantify the contributions of each key factor. During 2012–2018, the net ecosystem productivity (NEP), gross primary productivity (GPP) and ecosystem respiration (Re) of this alpine meadow were 3.31 ± 26.90, 210.18 ± 48.35 and 206.88 ± 28.45 g C m−2 y−1, respectively, which indicated relatively large IAVs. When the contributions of climatic and biotic effects were distinguished and quantified, the dominant effects of biotic factors emerged. Additionally, negative interactions between climatic and biotic effects were detected. Among the climatic factors, only soil water content contributed relatively more to the IAVs and played a role in regulating the interactions between climatic and biotic effects. These results suggest that biotic effects must be carefully considered to reduce the uncertainties associated with future carbon flux estimates.

Key words: biotic controls, climatic controls, carbon flux, productivity, grassland