长江流域资源与环境 >> 2025, Vol. 34 >> Issue (4): 907-919.doi: 10.11870/cjlyzyyhj202504018

• 农业发展 • 上一篇    

四川盆地耕地土壤速效钾空间异质性及影响因素

成金礼1,陈丹1,李文丹1,徐子喆1,方秋露1,王童瑶1,谭菀琪1,赵彬2,李启权1*
  

  1. (1.四川农业大学资源学院,四川 成都 611130;2.四川农业大学环境学院,四川 成都 611130)
  • 出版日期:2025-04-20 发布日期:2025-04-29

Spatial Distribution and Influencing Factors of Available Potassium Contents in Cropland Topsoil in the Sichuan Basin

CHENG Jin-li1, CHEN Dan1, LI Wen-dan1, XU Zi-zhe1, FANG Qiu-lu1,WANG Tong-yao1,TAN Wan-qi1, ZHAO Bin2, LI Qi-quan1    

  1. (1.College of Resources,Sichuan Agricultural University,Chengdu 611130,China;  2.College of Environment,Sichuan Agricultural University,Chengdu 611130, China)
  • Online:2025-04-20 Published:2025-04-29

摘要: 掌握耕地土壤速效钾空间分布特征及其影响因素,有助于指导田间养分管理和土壤资源保护。基于2017~2019年采集的4 409表层(0~20 cm)土壤样点,采用地统计学方法、相关分析、方差分析和随机森林模型分析了四川盆地耕地表层土壤速效钾含量的空间分布格局及其影响因素。结果表明:研究区表层土壤速效钾含量10.00~373.00 mg/kg之间,均值为110.48 mg/kg,低于全国平均水平(139 mg/kg);变异系数为50.12%,具有中等强度的空间变异性。半方差分析结果表明,研究区表层土壤速效钾的最佳理论模型为指数模型,模型的决定系数为0.975,块金效应为62.9%,变程为23.5 km,表明其空间分布由结构性因素和随机性因素共同决定。插值结果表明,四川盆地耕地表层土壤速效钾含量呈斑块状空间分布格局。随机森林模型分析显示,土壤质地和pH是影响研究区耕地表层土壤速效钾最重要的因素,其次为气温和降雨,而秸秆还田、钾肥施用量、地形因子以及土壤类型等因素的影响相对较弱。以上结果表明,土壤性质是四川盆地耕地表层土壤速效钾空间分布首要的控制因素。耕作条件下,调控土壤质地和酸碱度是增加耕地土壤速效钾的关键措施,秸秆还田和施肥等措施的制定需要充分考虑气候、地形和土壤类型的影响。

Abstract: Understanding the spatial distribution characteristics and its influencing factors of cropland topsoil available potassium contents is essential for field nutrient management and soil resource conservation.Based on 4409 surface (0~20 cm) soil sample points collected during 2017-2019, the spatial distribution pattern and the influencing factors were analyzed in this study, using geostatistical methods, correlation analysis, analysis of variance and random forest model.The results showed that the available potassium contents in the study area ranged from 10.00 to 373.00 mg/kg, with a mean value of 110.48 mg/kg, which was lower than that of the national average (139 mg/kg); The coefficient of variation was 50.12%, which indicated a moderate spatial variability.The results of the semi-analysis of variance (ANOVA) showed that the best theoretical model was the exponential model.The model indicated a coefficient of determination of 0.975, the nugget effect of 62.9%, and the variability range of 23.5 km, which implied that the spatial distribution was determined by both structural factors and stochastic factors.The interpolation results showed that the cropland topsoil available potassium contents in the Sichuan Basin demonstrated a patchy spatial distribution pattern.Random forest model analysis showed that soil texture and pH were the most important factors affecting the cropland topsoil available potassium contents in the study area, followed by temperature and rainfall, while the effects of straw return, potash fertilizer application, topographic factors and soil type were relatively weak.The above results indicated that soil properties were the primary controlling factors for the spatial distribution of cropland topsoil available potassium contents.Under cultivation conditions, regulating soil texture and soil pH was the key to increase the cropland topsoil available potassium content.The formation of measurements such as straw return and fertilizer application should fully consider the effects of climate, topography and soil type.

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