Whether Wheat–Maize Rotation Influenced Soil Organic Carbon Content in Sushui River Basin

Yingqiang Jing, Rutian Bi (), Weifeng Sun, Hongfen Zhu, Haoxi Ding and Haixia Jin
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Yingqiang Jing: College of Resources and Environment, Shanxi Agricultural University, Jinzhong 030801, China
Rutian Bi: College of Resources and Environment, Shanxi Agricultural University, Jinzhong 030801, China
Weifeng Sun: Department of Ecomomics and Management, Yuncheng University, Yuncheng 044000, China
Hongfen Zhu: College of Resources and Environment, Shanxi Agricultural University, Jinzhong 030801, China
Haoxi Ding: College of Resources and Environment, Shanxi Agricultural University, Jinzhong 030801, China
Haixia Jin: College of Resources and Environment, Shanxi Agricultural University, Jinzhong 030801, China

Land, 2024, vol. 13, issue 6, 1-14

Abstract: Enhancing soil organic carbon (SOC) content in farmland is crucial for soil quality maintenance and food security. However, the relationship between crop rotation and SOC sequestration remains unclear. We used sample data on SOC, collected in September of every year, from cultivated land for quality monitoring from 2017 to 2021, combined with spatially extracted planting system information, and focused on the effects of wheat–maize crop rotation on SOC in the Sushui River Basin. An analysis of variance (ANOVA) indicated that the SOC content was only significantly different between wheat monoculture and maize monoculture. Among the three cropping systems, wheat–maize rotation did not show absolute superiority. The Geodetector analysis showed that the planting system dominated the spatial distribution of soil organic carbon ( p = 0.05), but its explanatory factor was only 5%, and the explanatory power was significantly improved after interaction with other factors. Geographically weighted regression showed that wheat–maize rotation had a trade-off effect with elevation and synergistic effects with rainfall and pH. It displayed a synergistic effect with temperature in the southwest and a trade-off effect in the northeast. The degrees of trade-offs and synergy varied spatially among all interacting factors. We focused on the spatial heterogeneity of soil organic carbon in a small watershed, and the results had scientific significance for the layout of planting systems according to local conditions and the improvement in soil organic carbon levels.

Keywords: cropping systems; soil organic carbon; spatial heterogeneity; Geodetector; geographically weighted regression (search for similar items in EconPapers)
JEL-codes: Q15 Q2 Q24 Q28 Q5 R14 R52 (search for similar items in EconPapers)
Date: 2024
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