Storage, pattern and driving factors of soil organic carbon in an ecologically fragile zone of northern China

Wang, Xuyang; Li, Yuqiang; Gong, Xiangwen; Niu, Yayi; Chen, Yinping; Shi, Xiaoping; Li, Wei

doi:10.1016/j.geoderma.2019.02.030

Cited by 57 publications

(36 citation statements)

References 54 publications

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“…Many studies found that SOCD was correlated positively with elevation [24, 61, 62]. However, our study found the opposite result, with a negative correlation between SOCD and elevation, which was consistent with the results in the northern the agro-pastoral ecotone [21], the dammed field in the Loess Plateau [63], and the alpine shrubland in the Three Rivers Source Region [18]. This may be attributable to the narrow range of elevation and the distribution of vegetation along elevation gradients [21].…”

Section: Discussionsupporting

confidence: 89%

“…Environmental factors, such as climatic factors, topography, vegetation biomass and types, and soil texture, etc. are considered the important factors that influence SOC dynamics on the QTP’s grassland [18, 21–23]. Climatic factors, temperature and precipitation, control the balance between carbon input from plant productivity and carbon output by soil carbon decomposition [21].…”

Section: Introductionmentioning

confidence: 99%

“…are considered the important factors that influence SOC dynamics on the QTP’s grassland [18, 21–23]. Climatic factors, temperature and precipitation, control the balance between carbon input from plant productivity and carbon output by soil carbon decomposition [21]. Topography, including elevation, slope, aspect, or slope position, influence hydrothermal processes by controlling radiation, temperature and precipitation, and thereby affect the vegetation distribution and soil decomposition rate, which results in large variations in SOC stock [22, 24].…”

Section: Introductionmentioning

confidence: 99%

“…Topography, including elevation, slope, aspect, or slope position, influence hydrothermal processes by controlling radiation, temperature and precipitation, and thereby affect the vegetation distribution and soil decomposition rate, which results in large variations in SOC stock [22, 24]. Vegetation type can affect SOC by controlling carbon inputs from plant residues, carbon decomposition, and carbon exchanges in the atmosphere [21]. Soil texture also affects SOC content and stabilization, because silt and clay content can provide physical protection that promote SOC’s aggregation [21, 23].…”

Section: Introductionmentioning

confidence: 99%

“…Vegetation type can affect SOC by controlling carbon inputs from plant residues, carbon decomposition, and carbon exchanges in the atmosphere [21]. Soil texture also affects SOC content and stabilization, because silt and clay content can provide physical protection that promote SOC’s aggregation [21, 23]. However, the relation between SOC and environmental characteristics has been investigated rarely in high-cold regions, and only a few scholars have tried to explore the relations between SOC stocks or density and temperature, soil moisture, or other soil properties on the QTP [9, 25–27].…”

Section: Introductionmentioning

confidence: 99%

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The spatio-temporal patterns of the topsoil organic carbon density and its influencing factors based on different estimation models in the grassland of Qinghai-Tibet Plateau

et al. 2019

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The grassland soils of the Qinghai-Tibet Plateau (QTP) store a large amount of organic carbon because of the cold, humid climate, and topsoil organic carbon is quite sensitive to global climate changes. However, the spatio-temporal dynamics and factors that influence the soil organic carbon (SOC) on the QTP’s grassland are not understood well. Moreover, there are few comparative analyses of different approaches to estimate the QTP’ SOC. In this study, we estimated the storage and patterns of SOC density (SOCD) using several methods, including MODIS (moderate-resolution imaging spectroradiometer) retrieval, field data and previous empirical models (Models1-4, and soil organic matter (SOM)). And their relations with aboveground biomass, soil moisture, temperature, elevation, and soil conductivity were further explored. The results showed that SOC showed a similar variation trend in the different models, in which it decreased with increasing bulk density (BD) in the topsoil at 30 cm. For meadow and steppe grasslands, Models 1, 2, and 4 showed similar estimated values of SOCD, while Model3 had a lower value than them. SOC storage in the BD 3 and SOM methods had abnormal values, while the MODIS-NDVI, BD 1, 2, and 4 methods had similar SOC stock values for meadow and steppe grassland. Moreover, meadow grassland had a higher SOC storage than did steppe grassland, with means values of 397.9×1010 kg and 242.2×1010 kg, respectively. SOCD’s spatial distribution using MODIS-NDVI method differed clearly from the empirical models, with a significant tendency for spatial variation that increased from the northwestern to southeastern regions on the QTP. Therefore, based on the values estimated and spatial variation features, the MODIS-NDVI method may be a more feasible and valid model to estimate SOC. Moreover, the mean annual SOCD values during 2000–2015 showed an increasing trend, with a higher mean value in meadow and a lower mean value in steppe. Further, SOCD was correlated significantly and positively with aboveground biomass and soil moisture, and negatively correlated with elevation and soil conductivity. Increasing temperature had negative effects on SOCD, which was consistent with the global trend. These results indicated that topsoil moisture plays a key role in SOCD spatial patterns. Our results provide valuable support for the long-term estimation of SOCD in future research on the QTP.

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Section: Discussionsupporting

confidence: 89%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

The spatio-temporal patterns of the topsoil organic carbon density and its influencing factors based on different estimation models in the grassland of Qinghai-Tibet Plateau

et al. 2019

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Soil properties and anthropogenic influences control the distribution of soil organic carbon in grasslands of northern China

Zhang,

Song,

Zhang

et al. 2023

Land Degrad Dev

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Soil organic carbon (SOC) in grasslands not only plays an important role in carbon cycle but also largely affects soil function and thus determines grasslands' productivity. However, the influence mechanism of different factors on SOC storage in grasslands of northern China remains unclear. Based on an extensive field investigation and multiple statistical approaches, we mapped SOC of the grassland in northern China, and explored their correlations with climatic factors, biological factors, human activity intensity (HAI), and soil physicochemical factors. The effects of these factors on SOC were also analyzed by structural equation model. The results showed that the SOC varied across the regions and was strongly correlated with soil chemical factors (i.e., soil total nitrogen [TN], amorphous Al, and amorphous Fe) and soil physical factors (i.e., clay, silt, and sand). HAI, which was mainly influenced by grazing, had a significant but negative impact on SOC. Different from previous studies, we found that climatic factors such as temperature and precipitation indirectly affected SOC by influencing biological factors such as vegetation coverage, vegetation height, Shannon–Weiner index, and species richness. The soil physicochemical properties and HAI were the dominant influencing factors for controlling SOC distribution in the grasslands of northern China. Our findings will further increase the understanding of the carbon cycle in grassland ecosystems, while providing important scientific references for temperate grassland ecosystem management.

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Non-native and native tree species plantations and seasonality could have substantial impacts on the diversity of indigenous soil fauna in a semi-arid forest ecosystem

Karamian,

Mirzaei,

Heydari

et al. 2023

Environ Monit Assess

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Storage, pattern and driving factors of soil organic carbon in an ecologically fragile zone of northern China

Cited by 57 publications

References 54 publications

The spatio-temporal patterns of the topsoil organic carbon density and its influencing factors based on different estimation models in the grassland of Qinghai-Tibet Plateau

The spatio-temporal patterns of the topsoil organic carbon density and its influencing factors based on different estimation models in the grassland of Qinghai-Tibet Plateau

Soil properties and anthropogenic influences control the distribution of soil organic carbon in grasslands of northern China

Non-native and native tree species plantations and seasonality could have substantial impacts on the diversity of indigenous soil fauna in a semi-arid forest ecosystem

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