Soil respiration simulation based on soil temperature and water content in artificial smooth brome grassland

文献类型： 外文期刊

第一作者： Wu, Juying

作者： Wu, Juying;Pang, Zhuo;Sun, Tiejun;Kan, Haiming;Hu, Wei;Li, Xiaona

作者机构：

关键词： climate change; conservation biology; grasslands; soil carbon; restoration ecology

期刊名称：RANGELAND JOURNAL （ 影响因子：1.09； 五年影响因子：1.51 ）

ISSN： 1036-9872

年卷期： 2016 年 38 卷 6 期

页码：

收录情况： SCI

摘要： Correctly quantifying the relationships between soil respiration and environmental factors and their sources of variability is essential to predict future carbon fluxes and climate feedback. Soil water conditions and soil temperature strongly affect soil respiration and the dynamics of soil organic matter. Despite this, simulation of soil respiration (Rs) based on soil temperature (Ts) and soil volumetric water content (theta) must still be improved, as demonstrated by its discrepant model performance among different seasons. With the objective of gaining a further understanding of the relationships of Rs with Ts and theta and providing an improved model to simulate Rs variations, we measured hourly Rs, Ts and theta using the chamber technique in artificial smooth brome grassland for analysis. Webegan by dividing the four seasons of a year according to the daily mean air temperature, followed by representing the seasonal variation of Rs, Ts and theta. We found that Rs correlated significantly with Ts in an exponential relationship and with theta in a parabolic relationship seasonally, where the determination coefficient of the Rs-theta relationship was significantly larger than that of the Rs-Ts relationship. We also discovered that the shape of the Rs-theta relationship was seasonally dependent because the optimal theta and the width of the peak Rs around the optimal theta were seasonally specific. Finally, by considering seasonality, the combinational simulation model explained more variation of soil respiration. Thus, seasonality should be considered for more reliable model simulations of soil respiration. These findings are relevant for more accurate predictions and modelling of soil respiration, particularly in temperate artificial grasslands with a continental monsoon climate, where the 'Birch effect' strengthens seasonality, and these findings further our understanding of changes in the rates of soil carbon losses as artificial grassland is established.

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