Soil Respiration Characteristics in Three Shrublands along an Elevation Gradient in a Semiarid Loess Plateau Mountain Area

ABSTRACT

Shrub is one of the major vegetation types distributed mostly in the mountainous area in China, and its vegetation carbon storage is approximately one-third of both forests and grasslands. It is essential to investigate how soil temperature (T_s) and soil water content (W_s) affect soil respiration (R_s) in this ecosystem. The purpose of this study was to understand the correlations of R_s with T_s, W_s, and other factors in the shrubs. In the current study, R_s was characterized in three shrublands (hereafter, shrub 1, shrub 2, and shrub 3, respectively) located in different elevations over a 4-year period at a biweekly interval in the eastern Loess Plateau (Shanxi province) of China. Our results showed that the trend of seasonal change of R_s was controlled mainly by T_s and W_s. The measured mean R_s over 4 years was 3.64 ± 2.83 (mean ± S.D.), 2.69 ± 2.05, and 4.41 ± 3.28 μmol carbon dioxide (CO₂) m⁻² s⁻¹ for shrubs 1, 2, and 3, respectively, exhibiting an increase trend with elevation increment. Over the season, R_s illustrated a significant change depending on the variation of T_s and W_s, with larger values appearing in summer when both T_s and W_s were high, and smaller values in winter or in summer whenever W_s was low. An exponential model (R_s = a e ^bTs) fitted well the relation between R_s and T_s for shrub 3, whereas linear (R_s = a W_s + b) and power (R_s = a W_s ^b) models of R_s to W_s fitted well for shrub 1. This indicated that at a lower elevation, W_s had a greater effect on R_s than that at a higher elevation. The reverse trend was true between R_s and T_s, i.e., at a higher elevation T_s had a greater effect on R_s than that at a lower elevation. The calculated Q₁₀ values of 1.61, 3.03, and 3.73 for shrubs 1, 2, and 3 increased to 2.25, 3.63, and 4.07, respectively (when the data in low W_s conditions were excluded from the analysis), showing that Q₁₀ increased with elevation increment. Furthermore, three two-variable models, one linear (R_s = a (T_s W_s) + b), and two nonlinear (R_s = a T_s ^b W_s ^c and R_s = a e^bTs W_s ^c), were also well developed to predict the dependency of R_s on both T_s and W_s. Our research results might have important implications for the estimation of soil carbon emissions of the shrublands in this region.

KEYWORDS:

• Interannual variability
• semiarid region
• shrublands
• soil moisture
• soil respiration
• soil temperature

Acknowledgments

The authors thank Guo Lu, Zhang Yihui, Liu Ju, and Rong Yanmei for their valuable help in fieldwork.