Large‐scale soil organic carbon mapping based on multivariate modelling: The case of grasslands on the Loess Plateau

Wang, Yinyin; Deng, Lei; Wu, Gao‐Lin; Wang, Kaibo; Shangguan, Zhouping

doi:10.1002/ldr.2833

Cited by 20 publications

(9 citation statements)

References 72 publications

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“…The Loess Plateau of China is located in the middle reach of the Yellow River ( Figure 1a) and it is one of the most soil-eroded regions in the world [28,29]. Grasslands are widely distributed in the Loess Plateau, accounting for approximately 40% of the total area [30,31]. Moreover, grassland vegetation is sensitive to climate warming and human activities in the Loess Plateau [32,33].…”

Section: Introductionmentioning

confidence: 99%

Migration of Rural Residents to Urban Areas Drives Grassland Vegetation Increase in China’s Loess Plateau

et al. 2019

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Human activities are critical factors influencing ecosystem sustainability. However, knowledge on regarding the mechanisms underlying the response of vegetation dynamics to human activities remains limited. To detect the driving factors and their individual contribution to the grassland vegetation dynamics in China’s Loess Plateau, a structural equation model (SEM) and a principal component regression model were built. The SEM showed that population change and urbanization, temperature and humidity, and agriculture and economy accounted for 62.5%, 31.2%, and 7.7%, respectively, of the overall impact directly affecting grassland vegetation dynamics. Furthermore, the principal component regression model demonstrated that the effects of the urbanization rate on the grassland above-ground biomass exceeded those of the other factors. The agriculture population had the maximum negative effect on grassland area. The higher the urbanization rate means the higher the number of residents migrates from rural to urban areas. Following this argument, the disturbances of human activities to grassland vegetation were expected to gradually decrease in rural areas, where the vast majority of the Loess Plateau is located. The migration of rural residents to urban areas promoted the increase in biomass and areas of grassland vegetation. Our findings suggest that the effect of urbanization should be considered when assessing vegetation change.

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Section: Introductionmentioning

confidence: 99%

Migration of Rural Residents to Urban Areas Drives Grassland Vegetation Increase in China’s Loess Plateau

et al. 2019

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“…Grasslands are an important part of the Eurasian steppe and cover about 40% of the total territorial area of China (Wang, Deng, Wu, Wang, & Shang Guan, 2018). As a result of intense grazing pressure across China, there has been a marked increase in the percentage of grasslands displaying signs of degradation (Yang et al, 2019).…”

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confidence: 99%

Significant soil acidification caused by grazing exclusion across China’s grassland areas

et al. 2020

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Soil pH is strongly associated with soil biogeochemical cycles and biodiversity in terrestrial ecosystems. Grazing exclusion (GE) has been widely adopted as an effective practice to restore degraded grasslands. However, the effect of GE on soil pH is still poorly understood and remains inconclusive. We synthesized data for 63 sites from the peer‐reviewed literature and 43 additional field sites and investigated the differences in soil pH following grazing exclusion across China’s grasslands. The mean pH across all samples decreased by 0.13 units with grazing exclusion (mean pH 8.15 and 8.02 for the grazed and grazing exclusion groups, respectively, p < 0.001). The pH of the surface soil (0–20 cm) showed the greatest rates of decrease in grazing exclusion grasslands, whereas the pH of the deep soil layers (20–100 cm) showed a limited response to grazing exclusion. In general, the largest rate of decrease in soil pH occurred after medium‐term periods (5–15 years) of grazing exclusion, whereas a smaller rate of change was found over short‐ (≤5 years) and long‐term periods (≥15 years) of grazing exclusion. Of the environmental factors examined, the climatic conditions, accumulation of biomass and the soil carbon and nitrogen dynamics were important factors influencing soil pH following grazing exclusion. Our results indicate that grazing exclusion causes significant soil acidification, especially in surface soils and humid areas. Our results provide an important reference for the future management of China’s grasslands.

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“…The R/S ratio has been widely used for carbon stock estimation and is a key parameter for terrestrial ecosystem C modeling [43,44]. Some studies have reported that no significant correlation was found between R/S ratio and tree age [45].…”

Section: Effects Of Stand Structure On Biomass Allocationmentioning

confidence: 99%

Impacts of Site Conditions and Stand Structure on the Biomass Allocation of Single Trees in Larch Plantations of Liupan Mountains of Northwest China

Wang

Huang

Wang

et al. 2022

Forests

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Understanding the determinants of tree biomass allocation patterns among organs is crucial for both predicting the rate and potential of forest carbon sinks and guiding future multifunctional forest management. However, it is still not clear how the site conditions (e.g., elevation) and stand structure (e.g., tree dominance, stand density) affect the biomass allocation of single trees in forests. This study was implemented in the Liupan Mountains of the Loess Plateau of Northwest China by collecting the related information of biomass data of 110 sample trees with different dominance and influencing factors within 23 sample plots of larch plantations set up along the elevation gradient. Based on these data, the response tendency and functions of biomass allocation of single trees to individual influencing factors of site conditions and forest structure were analyzed. Moreover, the results illustrated that the ratio between root biomass and aboveground biomass decreased significantly with rising stand age and tree density, but increased significantly with rising elevation, and there was no significant relationship with the dominance of individual trees. The results of this study revealed the importance of considering the influencing factors of site conditions and stand structure when developing dynamic models of tree biomass allocation. The results and research methods used in this study provide useful tools for quantifying the biomass allocation and carbon storage partitioning in the study area and other similar regions.

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Large‐scale soil organic carbon mapping based on multivariate modelling: The case of grasslands on the Loess Plateau

Cited by 20 publications

References 72 publications

Migration of Rural Residents to Urban Areas Drives Grassland Vegetation Increase in China’s Loess Plateau

Migration of Rural Residents to Urban Areas Drives Grassland Vegetation Increase in China’s Loess Plateau

Significant soil acidification caused by grazing exclusion across China’s grassland areas

Impacts of Site Conditions and Stand Structure on the Biomass Allocation of Single Trees in Larch Plantations of Liupan Mountains of Northwest China

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