Influences of Environmental Variables and Their Interactions on Chinese Farmland Soil Organic Carbon Density and Its Dynamics

Wu, Zihao; Liu, Yanfang; Li, Guie; Han, Yiran; Li, Xiaoshun; Chen, Yiyun

doi:10.3390/land11020208

Cited by 9 publications

(7 citation statements)

References 97 publications

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“…Variability in soil carbon can be attributed to differences in farm management and fertilization strategies as different parts of the coffee farm are intercropped with seasonal crops during rainy seasons. This observation agrees with the findings of Zhao et al (2021), Li et al (2021) Jakši´et al (2021 and Wu et al (2022), who identified heterogeneity of soil carbon in studied fields.…”

Section: Organic Carbon (%Oc)supporting

confidence: 93%

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Assessing spatial variability of selected soil properties in Upper Kabete Campus coffee farm, University of Nairobi, Kenya

Mwendwa

Mbuvi

Kironchi

et al. 2022

Heliyon

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Section: Organic Carbon (%Oc)supporting

confidence: 93%

“…(2021) Jakši´et al. (2021) and Wu et al. (2022) , who identified heterogeneity of soil carbon in studied fields.…”

Section: Resultsmentioning

confidence: 97%

Assessing spatial variability of selected soil properties in Upper Kabete Campus coffee farm, University of Nairobi, Kenya

Mwendwa

Mbuvi

Kironchi

et al. 2022

Heliyon

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“…Zhang et al (2022) found that the SOC content of farmland in each geographical area of China was lower than that of grassland and forest land. Although temperature and precipitation would also affect the formation and evolution of SOC in forest land, grassland and wetland, SOC in farmland had certain uniqueness (Wu et al 2022). Farmland ecosystem carbon pool was the most active part of the global carbon pool.…”

Section: Discussionmentioning

confidence: 99%

Distribution characteristics and prediction model of farmland soil organic carbon in eastern China

Liu

Xie

Wang

et al. 2022

Environ. Res. Commun.

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Soil organic carbon (SOC) plays a key role in soil improvement, carbon sequestration, and increasing crop yield. In this study, the distribution characteristics and the influence of hydrothermal conditions on farmland SOC content in eastern China were studied. The results showed that the spatial heterogeneity of SOC content in eastern China was obvious. In the area with the mean average temperature (MAT) below 10.42 ℃, the SOC content was negatively correlated with MAT and ≥10 °C accumulated temperature, but positively correlated with the ratio of precipitation to temperature (P/T). In the area with the MAT between 10.42 ℃ and 20.75 ℃, the SOC content was negatively correlated with mean average precipitation (MAP), MAT, P/T and ≥10 °C accumulated temperature. In the area with the MAT above 20.75 ℃, the SOC content was negatively correlated with MAT and ≥10 °C accumulated temperature, but positively correlated with MAP and P/T. In the area with the MAP below 400 mm, the SOC content was negatively correlated with P/T, but positively correlated with MAP, MAT and ≥10 °C accumulated temperature. In the area with the MAP between 400 mm and 800 mm, the SOC content was negatively correlated with P/T, but positively correlated with MAT and ≥10 °C accumulated temperature. In the area with the MAP more than 800 mm, the SOC content was negatively correlated with MAP, MAT, P/T and ≥10 °C accumulated temperature. Based on the above results, a model for predicting SOC content was established. This is of great significance for the rapid estimation of SOC content on a regional large scale.

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“…To evaluate the significance of SOC stocks' drivers in agricultural ecosystems, Funes et al (2019) used geographically weighted regression and generalized least squares analysis, demonstrating that the main determinants of topsoil variance in SOC stores were the climate and agricultural factors. With 64 samples taken from 19 agricultural sites around China, SOC storage for cropland ecosystems was connected to natural parameters such as MAT, soil type, clay content, and MAP (Wu et al, 2022). These studies elucidate an inconsistency in the drivers of SOC, which is likely due to inconsistencies in the factors selected and being limited to specific ecosystem.…”

Section: Introductionmentioning

confidence: 99%

Understanding drivers of the spatial variability of soil organic carbon in China's terrestrial ecosystems

Li,

Yang,

Zhang

et al. 2023

Land Degrad Dev

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The carbon balance of the global ecosystems is significantly influenced by the soil organic carbon (SOC) pool in China's terrestrial ecosystems. Nevertheless, the current understanding of the main controlling factors of SOC in different ecosystems and their discrepancies is limited. The goal of this research was to better understand the human and environmental variables affecting SOC in China's terrestrial ecosystems. We designed a conceptual framework using 2674 samples collected from four ecosystems (grasslands, shrublands, wetlands, and croplands) in China during the 2000–2014 period, combining geodetector and multiple regression (MR) approaches to investigate the effects of environmental conditions, human activity, and their interplay on surface SOC (0–20 cm). Results showed that there were large discrepancies in the strength of influencing factors among different ecosystems. Total nitrogen (TN), mean annual temperature (MAT), and bulk density (BD) were the major factors influencing SOC in grasslands. BD, TN, and pH dominated in shrublands. For wetlands, SOC stocks were primarily attributed to maximum temperature (TMMX), MAT, and potential evapotranspiration (PET). Croplands are predominantly controlled by minimum temperature (TMMN), MAT, and TN. These results highlight that natural factors, particularly climatic and soil characteristics, were the dominant factors controlling SOC stocks in China's terrestrial ecosystems. This work also highlights that the interaction of two influencing factors, especially, pairs of soil characteristics factors, pairs of climate and soil characteristics factors, can well explain the drivers of SOC on the surface soil in China. Our study emphasizes the spatial heterogeneity of the factors that influence SOC in terrestrial ecosystems, enhancing knowledge of SOC at the national level, and providing the guideline for devising better policy to improve C sequestration and mitigate climate changes.

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Influences of Environmental Variables and Their Interactions on Chinese Farmland Soil Organic Carbon Density and Its Dynamics

Cited by 9 publications

References 97 publications

Assessing spatial variability of selected soil properties in Upper Kabete Campus coffee farm, University of Nairobi, Kenya

Assessing spatial variability of selected soil properties in Upper Kabete Campus coffee farm, University of Nairobi, Kenya

Distribution characteristics and prediction model of farmland soil organic carbon in eastern China

Understanding drivers of the spatial variability of soil organic carbon in China's terrestrial ecosystems

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