Spatiotemporal Changes and Driving Factors of Cultivated Soil Organic Carbon in Northern China’s Typical Agro-Pastoral Ecotone in the Last 30 Years

Liping Wang,Xiangtian Meng,Xiang Wang,Shufeng Zheng,Huanjun Liu,Linghua Meng,Houxuan Li,Yihao Wang,Dianyao Wang,Beisong Qi,Chong Luo

doi:10.3390/rs13183607

Abstract

In order to explore the spatiotemporal changes and driving factors of soil organic carbon (SOC) in the agro-pastoral ecotone of northern China, we took Aohan banner, Chifeng City, Inner Mongolia Autonomous Region as the study area, used the random forest (RF) method to predict the SOC from 1989 to 2018, and the geographic detector method (GDM) was applied to analyze quantitatively the natural and anthropogenic factors that are affecting Aohan banner. The results indicated that: (1) After adding the terrain factors, the R2 and residual predictive deviation (RPD) of the RF model increased by 1.178 and 0.39%, with root mean square errors (RMSEs) of 1.42 g/kg and 1.05 g/kg, respectively; (2) The spatial distribution of SOC was higher in the south and lower in the north; the negative growth of SOC accounted for 55.923% of the total area, showing a trend of degradation; (3) Precipitation was the main driving factor of SOC spatial variation in the typical agro-pastoral ecotone of northern China, which was also affected by temperature, elevation, soil type and soil texture (p < 0.01). (4). Anthropogenic factors (carbon input and gross domestic product (GDP)) had a greater impact on SOC than did climate factors (temperature and precipitation), making anthropogenic factors the dominant factors affecting SOC temporal variation (p < 0.01). The results of this work constitute a basis for a regional assessment of the temporal evolution of organic carbon in the soil surface, which is a key tool for monitoring the sustainable development of agropastoral ecotones.

Highlights

Soil is the largest carbon pool in terrestrial ecosystems, which plays an important role in monitoring and mitigating global environmental processes and maintaining agricultural systems’ stability [1]
soil organic carbon (SOC) refers to humus, plant materials, animal residues and microorganisms formed by microorganisms in the soil matrix, which is an important index for soil fertility analysis, cultivated land quality evaluation and an important soil indicator to ensure food security and sustainable agricultural development [2,3]
The SOC dataset of Aohan Banner ranged from 2.03 g/kg to 12.18 g/kg, which was lower than the average SOC content of the whole northern agro-pastoral ecotone in China [35]

Summary

Introduction

Soil is the largest carbon pool in terrestrial ecosystems, which plays an important role in monitoring and mitigating global environmental processes and maintaining agricultural systems’ stability [1]. SOC refers to humus, plant materials, animal residues and microorganisms formed by microorganisms in the soil matrix, which is an important index for soil fertility analysis, cultivated land quality evaluation and an important soil indicator to ensure food security and sustainable agricultural development [2,3]. The accurate estimation of the soil carbon storage, as well as its spatio-temporal variation, is among key questions in the global carbon cycle and climate change research. Since the 1970s, the rapid development of remote sensing technology has provided a new idea for SOC prediction.

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Methods

Results

Conclusion