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光合速率与光合条件对沙质草地土壤呼吸的调控作用

林力涛1,2,3,孙学凯1,雷倩2,3,于占源1*,曾德慧1   

  1. 1中国科学院沈阳应用生态研究所大青沟沙地生态实验站, 沈阳 110016;2城市与区域生态国家重点实验室, 北京 100085;3中国科学院大学, 北京 100049)
  • 出版日期:2018-07-10 发布日期:2018-07-10

The role of ecosystem photosynthetic rate and photosynthetic conditions in regulating soil respiration in a sandy grassland.

LIN Li-tao1,2,3, SUN Xue-kai1, LEI Qian2,3, YU Zhan-yuan1*, ZENG De-hui1   

  1. (1Daqinggou Ecological Station, Institute of Applied Ecology, Chinese Academy of Sciences, Shenyang 110016, China; 2State Key Laboratory of Urban and Regional Ecology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China; 3University of Chinese Academy of Sciences, Beijing 100049, China).
  • Online:2018-07-10 Published:2018-07-10

摘要: 光合作用可通过为土壤呼吸提供底物来影响土壤呼吸,逐渐引起学者们的重视,因此光合与土壤呼吸的关联性成为模型构建中需要考虑的因素。本研究以科尔沁沙质草地为对象,探究沙质草地光合对土壤呼吸的影响。结果表明:土壤温度是沙质草地生态系统土壤呼吸速率最主要影响因素,呈极显著指数相关关系,不同光合条件下温度敏感性Q10值存在差异,夜间(3.03)>昼间(2.12),日平均(2.41)>8:00—10:00时(2.32);偏相关分析表明,光合作用是影响土壤呼吸变化的重要因素(r=0.72, P<0.01),土壤呼吸随光合速率增加而增加,呈极显著线性正相关关系(R2 =0.49,P<0.01),响应敏感系数为0.24;加入光合速率变量的多因素回归模型极显著提高了土壤呼吸拟合的R2值,由0.73~0.75增至0.81~0.85,在拟合函数模型选择中,幂函数+指数、线性+指数、指数+指数等形式均具有较好的拟合效果。

关键词: 可塑性指数, 种群动态, 猪毛蒿, 荒漠草原, 异质生境

Abstract: Photosynthesis regulates soil respiration by providing substrate for soil respiration, which has received more and more attention. Therefore, photosynthesis becomes an important parameter in constructing soil respiration model. In this study, we assessed the role of photosynthesis in regulating soil CO2 flux in a Keerqin sandy grassland. The results showed that soil temperature was the most significant factor influencing soil respiration. The temperature sensitivity (Q10 values) dissimilated under different photosynthetic conditions, with nighttime (3.03) > daytime (2.12), daily mean (2.41) > 8:00-10:00 a.m. (2.32). Results from partial correlation analysis showed that photosynthesis was an important factor affecting soil respiration (r=0.72, P<0.01). There was a significantly linear positive correlation between photosynthesis and soil respiration (R2=0.49,P<0.01), with a slope of 0.24. Regression model with adding photosynthesis variable significantly improved the fitting R2 from 0.73-0.75 to 0.81-0.85 and the power+exponential function, linear+exponential function, and exponential+exponential function all had a good fitting degree in model selection.

Key words: desert steppe, Artemisia scoparia, plasticity index, heterogeneous habitat, population dynamics