Interactive effects of hydrological conditions on soil respiration in China's Horqin sandy land: An example of dune-meadow cascade ecosystem

Han, Chunxue; Yu, Ruihong; Lu, Xixi; Duan, Limin; Singh, Vijay P.; Liu, Tingxi

doi:10.1016/j.scitotenv.2018.10.198

Cited by 11 publications

(10 citation statements)

References 70 publications

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“…The AP7 explained 24%-37% (mean: 31%) and 28%-38% (mean: 35%) of the temporal variations in R s on the TG and BF hillslopes, respectively. Positive relationships between R s and precipitation were also found by Chen et al [13] and Zhou et al [8], while some other studies demonstrated that increased precipitation could reduce R s due to the slow gas diffusion [15,42]. In this study, the relative lower explanation rates (<30%) of AP7 on R s in TG-03, BF-03, and BF-04 were due to the wet soil conditions at these sites ( Table 2).…”

Section: Factors Influencing R S Response To Precipitationsupporting

confidence: 76%

“…The different curves fitting the relationships between SWC and Rs could be attributed to the different ranges of SWC observed in these sites. The quadratic relationships between SWC and Rs have been demonstrated by previous studies including those of Liu et al [11], Hursh et al [9], and Han et al [15]. The optimum SWC for Rs was near the field capacity [15,18].…”

Section: Factors Influencing Rs Response To Swcmentioning

confidence: 57%

“…A positive relationship between Q 10 and SWC was found by Flanagan and Johnson [37] and Zhou et al [38], while a negative correlation or no effect were found in other studies [6,39,40]. One of the reasons for this might be whether the observed ranges of SWC covered the optimum SWC for R s (near to field capacity) [15,18]. Previous studies have indicated the inhibition effects of clay on R s by impeding mineralization of soil organic matter, and thus posed negative on Q 10 [4,41].…”

Section: Factors Influencing R S Response To Stmentioning

confidence: 88%

“…Generally, increased precipitation has a positive effect on R s [8,13,14]. However, in regions with high precipitation inputs or soils with low water-holding capacity, increased precipitation can reduce the R s because R s declines at SWC exceeding field capacity due to slow diffusion of O 2 [11,15,16]. In contrast, in dry conditions, water in soil pores is disconnected, and dissolved organic C supply limits the metabolic activity of microbial communities [4,17].…”

Section: Introductionmentioning

confidence: 99%

“…In contrast, in dry conditions, water in soil pores is disconnected, and dissolved organic C supply limits the metabolic activity of microbial communities [4,17]. Therefore, the relationship between SWC and R s is typically quadratic, and the optimal SWC for R s is near the field capacity due to the balance between substrate and O 2 diffusion [11,15,16,18].…”

Section: Introductionmentioning

confidence: 99%

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Soil Type, Topography, and Land Use Interact to Control the Response of Soil Respiration to Climate Variation

Chun

Lai

Zhu

et al. 2019

Forests

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The effects of soil and topography on the responses of soil respiration (Rs) to climatic variables must be investigated in the southeastern mountainous areas of China due to the rapid land-use change from forest to agriculture. In this study, we investigated the response of Rs to soil temperature (ST), precipitation over the previous seven days (AP7), and soil water content (SWC) across two hillslopes that had different land uses: a tea garden (TG) and a bamboo forest (BF). Meanwhile, the roles of soil properties including soil clay content and total nitrogen (TN), and topography including elevation, profile curvature (PRC), and slope on the different responses of Rs to these climatic variables were investigated. Results showed that mean Rs on the BF hillslope (2.21 umol C m−2 s−1) was 1.71 times of that on the TG hillslope (1.29 umol C m−2 s−1). Soil clay content, elevation, and PRC had negative correlations (p < 0.05) with spatial variation of Rs, and ST was positively correlated (p < 0.01) with temporal variation of Rs on both hillslopes. Across both hillslopes ST explained 33%–73% and AP7 explained 24%–38% of the temporal variations in Rs. The mean temperature sensitivities (Q10s) of Rs were 2.02 and 3.22, respectively, on the TG and BF hillslopes. The Q10 was positively correlated (p < 0.05) with the temporal mean of SWC and TN, and negatively correlated (p < 0.05) with clay and slope. The mean AP7 sensitivities (a concept similar to Q10) were greatly affected by clay and PRC. When Rs was normalized to that at 10 °C, power or quadratic relationships between Rs and SWC were observed in different sites, and the SWC explained 12%–32% of the temporal variation in Rs. When ST and SWC were integrated and considered, improved explanations (45%–81%) were achieved for the Rs temporal variation. In addition, clay and elevation had vital influences on the responses of Rs to SWC. These results highlight the influences of soil, topographic features, and land use on the spatial variations of the Rs, as well as on the responses of Rs to different climatic variables, which will supplement the understanding of controlling mechanisms of Rs on tea and bamboo land-use types in Southeastern China.

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