A Study on the Factors Influencing Soil Organic Carbon in Cultivated Land of Fujian Province Based on Geodetector Model

CHEN Mengyao; LIU Xiaoge; HUANG Dacang; ZHANG Liming; XING Shihe

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CHEN M Y, LIU X G, HUANG D C, et al. A Study on the Factors Influencing Soil Organic Carbon in Cultivated Land of Fujian Province Based on Geodetector Model [J]. Fujian Journal of Agricultural Sciences，2024，39（X）：1−14

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CHEN M Y, LIU X G, HUANG D C, et al. A Study on the Factors Influencing Soil Organic Carbon in Cultivated Land of Fujian Province Based on Geodetector Model [J]. Fujian Journal of Agricultural Sciences，2024，39（X）：1−14

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A Study on the Factors Influencing Soil Organic Carbon in Cultivated Land of Fujian Province Based on Geodetector Model

CHEN Mengyao^{1, 3
,},
LIU Xiaoge^{2, 3},
HUANG Dacang^{2, 3
,
,},
ZHANG Liming^{2, 3},
XING Shihe^{2, 3}

1.
College of Computer and Information, Fujian Agriculture and Forestry University, Fuzhou, Fujian　350002, China
2.
College of Resources and Environment, Fujian Agriculture and Forestry University, Fuzhou, Fujian　350002, China; Key Laboratory of Soil Ecosystem Health and Regulation of Fujian Universities, Fuzhou , Fujian　350002 , China

Accepted Date: 2024-07-03

Available Online: 2024-07-10

Abstract

Abstract

Objective The spatial distribution and influencing factors of soil organic carbon (SOC) are of great significance for formulating reasonable agricultural management measures and climate change response policies. Method This study is based on data from over 30000 farmland soil survey sites in Fujian Province. Pearson correlation coefficient and random forest model are used to calculate the importance of SOC influencing factors, and Geodetector model is used to analyze the factors affecting the spatial distribution of soil organic carbon in farmland throughout the province. Result The range of soil organic carbon sample data for cultivated land in Fujian Province in 2008 was between 0.12 and 67.28 g·kg⁻¹, showing a spatial pattern of low coastal areas in the southeast and high in the west and central regions. The analysis results of the Geodetector model are the most comprehensive and objective among the three models. The results of factor detector of the Geodetector model indicate that climate related factors are the main influencing factors for the spatial differentiation of soil organic carbon content in cultivated land in Fujian Province. The top six explanatory factors are: Annual precipitation (0.1685)＞Annual average temperature (0.1677)＞Altitude (0.1449)＞Climate type (0.1359)＞Soil type (0.0824)＞ Landform type (0.0731). Through interactive detectors, it was further discovered that the interaction between annual precipitation and annual average temperature has the greatest explanatory power for SOC spatial differentiation (0.1941), followed by annual precipitation and soil type (0.1923), annual precipitation and cultivated land use type (0.1918). Conclusion The strong factor interaction indicates that the spatial variability of soil organic carbon content in cultivated land in Fujian Province is influenced by multiple factors rather than a single factor. Each factor has a non-linear impact on soil organic carbon in different numerical ranges. This study can provide scientific basis for improving the spatial utilization efficiency of cultivated soil and rational layout of agricultural production.
- Soil organic carbon,
- geodetector,
- spatial distribution,
- influencing factors,
- interaction

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References(34)

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