长江流域资源与环境 >> 2023, Vol. 32 >> Issue (5): 1102-1112.doi: 10.11870/cjlyzyyhj202305019

• 农业发展 • 上一篇    

四川盆地耕地表层土壤有机碳含量空间分布特征及其影响因素

李艾雯1,冉敏1,宋靓颖1,薛晶玲1,张元媛1,李呈吉1, 邓茜1,方红艳1,代天飞2,李启权1*   

  1. (1. 四川农业大学资源学院, 四川 成都 611130;2. 四川省绿色食品发展中心, 四川 成都 610041)
  • 出版日期:2023-05-20 发布日期:2023-05-19

Spatial Distribution Characteristics and Influencing Factors of  Cropland Topsoil Organic Carbon Content in the Sichuan Basin

LI Ai-wen1,RAN Min1,SONG Liang-ying1,XUE Jing-ling1,ZHANG Yuan-yuan1, LI Cheng-ji1,DENG Qian1,FANG Hon-yan1,DAI Tian-fei2 ,LI Qi-quan1   

  1. (1.College of Resources, Sichuan Agricultural University, Chengdu 611130,China;
    2.Chengdu Testing Center of Soil and Fertilizer, Chengdu 610041, China)
  • Online:2023-05-20 Published:2023-05-19

摘要: 掌握土壤有机碳空间变异特征及影响因素是增加耕地土壤碳汇和提升耕地土壤质量的重要前提。基于2017~2019年实地采集的4 362个表层(0~20 cm)土壤样点,采用地统计学方法分析了四川盆地耕地表层土壤有机碳含量的空间分布格局,运用相关分析、方差分析和回归分析等方法探究了气候、地形、土壤类型、农地利用方式和氮肥施用强度对表层土壤有机碳含量空间异质性的影响。结果表明:研究区表层土壤有机碳含量在1.58~42.40 g·kg-1之间,均值为13.85 g·kg-1,略低于全国平均水平;变异系数为45.82%,具有中等强度的空间变异性。半方差分析结果表明,研究区表层土壤有机碳的最佳理论模型为指数模型,块金效应为59.73%,变程为145 km,表明其空间分布由结构性因素和随机性因素共同决定且自相关范围较大。空间插值结果表明,四川盆地耕地表层土壤有机碳含量总体呈中间低四周高的斑状分布格局。回归分析结果表明,土壤类型是影响研究区耕地表层土壤有机碳空间分布的主要因素,其余依次为农地利用方式、气候和地形;各因素对土壤有机碳空间变异的独立解释能力分别为19.7%、14.0%、12.0%和9.2%。调控农地利用方式是实现该区域耕地土壤碳增汇的关键,但制定调控措施时也要充分考虑土壤类型、气候和地形等因素的影响。

Abstract: It is necessary to understand the spatial variation characteristics of cropland soil organic carbon and its influencing factors for the purpose of enhancing soil carbon sequestration ability and improving cropland soil quality. Based on 4 362 surface (0~20 cm) soil sample points collected during 2017-2019, this study explored the spatial distribution pattern of cropland topsoil organic carbon content in the Sichuan Basin of China using geostatistical methods, and then revealed the influence of climate, topography, soil type, agricultural land-use type and nitrogen application intensity on the spatial heterogeneity of topsoil organic carbon content by correlation analysis, variance analysis and regression analysis. The results showed that the average of topsoil organic carbon content in the study area ranged from 1.58 to 42.40 g·kg-1, with an average of 13.85 g·kg-1, which was slightly lower than the national average level; the coefficient of variation was 45.82%, with moderate spatial variability. The semi-variance analysis showed that exponential model was the best theoretical model of cropland topsoil organic carbon in the study area, with the nugget effect of 59.73% and the range of 145 km, which indicating that the spatial distribution of cropland topsoil organic carbon has large autocorrelation range and was determined by both structural and random factors. The results of spatial interpolation showed that the cropland topsoil organic carbon content in the Sichuan Basin generally showed a patchy distribution pattern, with the cropland topsoil organic carbon content being lower in the middle of the basin and higher in peripheral areas. Soil type was identified to be the primary factor affecting the spatial distribution of cropland topsoil organic carbon in the study area, followed by agricultural land-use type, climate and topography, which can explain 19.7%, 14.0%,12.0% and 9.2%, respectively, of spatial variability of topsoil organic carbon. Therefore, it is concluded that the regulation of farmland use type is the key to realizing the increase in cropland topsoil carbon sequestration in this region, while the impacts of soil type, climate and topography should be also fully considered.

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