Effects of simulated warming on soil respiration to XiaoPo lake

3rd International Conference on Advances in Energy Resources and Environment Engineering

能源学;生态环境科学

Zhao, Shuangkai^1 ; Chen, Kelong^1 ; Wu, Chengyong^1 ; Mao, Yahui^1

School of Geographical Science, Qinghai Normal University, Xining

810001, China^1

关键词: Correlation analysis;    Diurnal variation;    Environmental factors;    Exponential equations;    Natural conditions;    Soil carbon fluxes;    Soil respiration rates;    Warming treatments;   

Others  :  https://iopscience.iop.org/article/10.1088/1755-1315/113/1/012219/pdf
DOI  :  10.1088/1755-1315/113/1/012219

学科分类：环境科学（综合）

来源: IOP

【 摘 要 】

The main flux of carbon cycling in terrestrial and atmospheric ecosystems is soil respiration, and soil respiration is one of the main ways of soil carbon output. This is of great significance to explore the dynamic changes of soil respiration rate and its effect on temperature rise, and the correlation between environmental factors and soil respiration. In this study, we used the open soil carbon flux measurement system (LI-8100, LI-COR, NE) in the experimental area of the XiaoPo Lake wetland in the Qinghai Lake Basin, and the Kobresia (Rs) were measured, and the soil respiration was simulated by simulated temperature (OTC) and natural state. The results showed that the temperature of 5 cm soil was 1.37 °C higher than that of the control during the experiment, and the effect of warming was obvious. The respiration rate of soil under warming and natural conditions showed obvious diurnal variation and monthly variation. The effect of warming on soil respiration rate was promoted and the effect of precipitation on soil respiration rate was inhibited. Further studies have shown that the relationship between soil respiration and 5 cm soil temperature under the control and warming treatments can be described by the exponential equation, and the correlation analysis between the two plots shows a very significant exponential relationship (p 10value of soil respiration rate, but also increased the sensitivity of soil respiration rate. The relationship between soil respiration and soil moisture can be explained by the quadratic linear equation (p