Effect of manipulated precipitation during the growing season on soil respiration in the desert-grasslands in Inner Mongolia, China

Zhang, Rui; Zhang, Xueyong; Zuo, Xiaoan; Degen, A. Allan; Shang, Zhanhuan; Luo, Yongqing; Zhang, Yonggang; Chen, Juanli

doi:10.1016/j.catena.2019.01.010

Cited by 30 publications

(11 citation statements)

References 64 publications

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“…The variations in the rainfall pattern, intensity, and frequency have significant impacts on the S M , causing variation in SOM decomposition, S C mineralization, microbial activity, plant growth and species composition, above-and belowground biomass production, and plant phenological traits (Bao et al 2019;Zhang et al 2019). We observed a strong seasonal variation in the S R across all land uses, with higher S R rates during the rainy season, i.e., the hot-humid climate (July-September) when S M was not limiting (Fig.…”

Section: Seasonal Dynamics Of S Rmentioning

confidence: 99%

“…4d). This suggests that the S M and S T would increase the production of aboveground biomass as a result of the high availability of resources for photosynthesis and the activity of the microorganisms in the monsoon season compared to those in other seasons (Zhou et al 2014;Zhang et al 2019). These results are in accordance with previous studies showing seasonal S R in riparian and subtropical semi-arid regions of India, where the highest CO 2 effluxes were recorded in monsoons (Jha and Mohapatra 2011;Arora and Chaudhry, 2017).…”

Section: Seasonal Dynamics Of S Rmentioning

confidence: 99%

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Soil moisture controls the spatio-temporal pattern of soil respiration under different land use systems in a semi-arid ecosystem of Delhi, India

et al. 2020

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Background: Soil respiration (S R) is a critical process for understanding the impact of climatic conditions and land degradation on the carbon cycle in terrestrial ecosystems. We measured the S R and soil environmental factors over 1 year in four land uses with varying levels of disturbance and different vegetation types viz., mixed forest cover (MFC), Prosopis juliflora (Sw.) forest cover (PFC), agricultural field (AF), and vegetable field (VF), in a semi-arid area of Delhi, India. Our primary aim was to assess the effects of soil moisture (S M), soil temperature (S T), and soil microbial activity (S MA) on the S R. Methods: The S R was measured monthly using an LI-6400 with an infrared gas analyser and a soil chamber. The S M was measured using the gravimetric method. The S T (10 cm) was measured with a probe attached to the LI-6400. The S MA was determined by fluorescein diacetate hydrolysis. Results: The S R showed seasonal variations, with the mean annual S R ranging from 3.22 to 5.78 μmol m −2 s −1 and higher S R rates of~15-55% in the cultivated fields (AF, VF) than in the forest sites (MFC, PFC). The VF had significantly higher S R (P < 0.05) than the other land uses (AF, PFC, MFC), which did not vary significantly from one another in S R (P < 0.05). The repeated measures ANOVA evaluated the significant differences (P < 0.05) in the S R for high precipitation months (July, August, September, February). The S M as a single factor showed a strong significant relationship in all the land uses (R 2 = 0.67-0.91, P < 0.001). The effect of the S T on the S R was found to be weak and non-significant in the PFC, MFC, and AF (R 2 = 0.14-0.31; P > 0.05). Contrasting results were observed in the VF, which showed high S R during summer (May; 11.21 μmol m −2 s −1) and a significant exponential relationship with the S T (R 2 = 0.52; P < 0.05). The S R was positively related to the S MA (R 2 = 0.44-0.5; P < 0.001). The interactive equations based on the independent variables S M , S T , and S MA explained 91-95% of the seasonal variation in S R with better model performance in the cultivated land use sites (AF, VF). Conclusion: S M was the key determining factor of the S R in semi-arid ecosystems and explained~90% of the variation. Precipitation increased S R by optimizing the S M and microbial activity. The S MA , along with the other soil factors S M and S T , improved the correlation with S R. Furthermore, the degraded land uses will be more susceptible to temporal variations in S R under changing climatic scenarios, which may influence the carbon balance of these ecosystems.

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Section: Seasonal Dynamics Of S Rmentioning

confidence: 99%

Section: Seasonal Dynamics Of S Rmentioning

confidence: 99%

Soil moisture controls the spatio-temporal pattern of soil respiration under different land use systems in a semi-arid ecosystem of Delhi, India

et al. 2020

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“…By contrast, R s in grasslands was quite sensitive to 20% reduction in growing-season precipitation (Miao et al, 2017;Zhang, Zhao, et al, 2019). On the other hand, the fine-textured soils in forests are more vulnerable to oxygen limitation, especially in humid seasons (Deng et al, 2012).…”

Section: Introductionmentioning

confidence: 98%

The response of soil respiration to precipitation change is asymmetric and differs between grasslands and forests

Wang

et al. 2020

Global Change Biology

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Intensification of the Earth's hydrological cycle amplifies the interannual variability of precipitation, which will significantly impact the terrestrial carbon (C) cycle. However, it is still unknown whether previously observed relationship between soil respiration (Rs) and precipitation remains applicable under extreme precipitation change. By analyzing the observations from a much larger dataset of field experiments (248 published papers including 151 grassland studies and 97 forest studies) across a wider range of precipitation manipulation than previous studies, we found that the relationship of Rs response with precipitation change was highly nonlinear or asymmetric, and differed significantly between grasslands and forests, between moderate and extreme precipitation changes. Response of Rs to precipitation change was negatively asymmetric (concave‐down) in grasslands, and double‐asymmetric in forests with a positive asymmetry (concave‐up) under moderate precipitation changes and a negative asymmetry (concave‐down) under extreme precipitation changes. In grasslands, the negative asymmetry in Rs response was attributed to the higher sensitivities of soil moisture, microbial and root activities to decreased precipitation (DPPT) than to increased precipitation (IPPT). In forests, the positive asymmetry was predominantly driven by the significant increase in microbial respiration under moderate IPPT, while the negative asymmetry was caused by the reductions in root biomass and respiration under extreme DPPT. The different asymmetric responses of Rs between grasslands and forests will greatly improve our ability to forecast the C cycle consequences of increased precipitation variability. Specifically, the negative asymmetry of Rs response under extreme precipitation change suggests that the soil C efflux will decrease across grasslands and forests under future precipitation regime with more wet and dry extremes.

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“…Rainfall amounts were manipulated with appropriate methods described by Zhang, et al . 95 , who used the apparatus to monitoring the impact of rain redistribution on vegetation and soil traits. Totally, there were 20 plots, each 3 × 3 m in size, with five replications.…”

Section: Methodsmentioning

confidence: 99%

Differential metabolic responses of shrubs and grasses to water additions in arid karst region, southwestern China

Umair

Sun

et al. 2019

Sci Rep

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Increasing precipitation has been predicted to occur in the karst areas in southwestern regions of China. However, it is little known how various plants respond to increasing precipitation in this region. Here we determined the impacts of water addition on leaf metabolites of grasses ( Cymbopogon distans and Arundinella sitosa ) and shrubs ( Carissa spinarum and Bauhinia brachycarpa ) in this area. Four levels of water additions (CK, T1, T2 and T3 indicating 0%, +20%, +40% and +60% relative to the current monthly precipitation, respectively) were designed. Sphingolipids substantially increased in the leaves of all four species with increasing water supply which suggests that these plants adopted biochemical strategy to tolerate the wet stress. However, both shrubs showed decreases in valine and threonine (amino acids), threonate, succinate and ascorbic acid (organic acids), galactose and rhamnose (sugars) and epicatchin and oleamides (secondary metabolites) with increasing water supply. Both grasses increased in the total metabolites at T1, but the total metabolites in A . sitosa significantly decreased at T2 and T3 while remains unchanged in C . distans . Tri-carboxylic acid cycle and amino acid metabolism in shrubs and shikimate pathway in grasses were strongly affected with water supply. Overall, shrubs and grasses respond differentially to variation in water addition in terms of metabolomics, which is helpful in understanding how plants respond to climate change.

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Effect of manipulated precipitation during the growing season on soil respiration in the desert-grasslands in Inner Mongolia, China

Cited by 30 publications

References 64 publications

Soil moisture controls the spatio-temporal pattern of soil respiration under different land use systems in a semi-arid ecosystem of Delhi, India

Soil moisture controls the spatio-temporal pattern of soil respiration under different land use systems in a semi-arid ecosystem of Delhi, India

The response of soil respiration to precipitation change is asymmetric and differs between grasslands and forests

Differential metabolic responses of shrubs and grasses to water additions in arid karst region, southwestern China

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