摘要
为研究曲靖烟区土壤有效中量元素的空间分布特征及其影响因素,本文采用GPS技术在曲靖烟区采集2088个土壤样品,利用原子吸收分光光度法测定样品有效钙、有效镁和有效硫含量,利用地统计学和经典统计学分析了3种有效中量元素的空间变异特征及其影响因素,以为曲靖烟区土壤中量元素科学有效地分区管理及烤烟合理施肥提供依据。结果表明,曲靖烟区土壤有效钙和镁含量属于中等强度变异,平均含量分别为2579.2和323.0mg/kg;有效硫含量属于高强度变异,平均含量为37.6mg/kg,属适宜水平;土壤有效钙、镁、硫含量具有中等程度的空间自相关性,其空间变异受结构性和随机性因子的共同影响,研究区内分别有96.5%的区域土壤有效钙和96.0%的区域土壤镁含量属十分丰富水平(1200mg/kg以上和150mg/kg以上),分别有0.70%和9.80%的区域土壤有效硫含量低于下临界值(16mg/kg)和高于上临界值(50mg/kg);海拔高度、地形条件、土壤类型、土壤pH、有机物料投入量和前茬作物均是影响烟区土壤3种有效中量元素含量的重要因素。不同区域应针对其中量元素现状,对土壤的中量元素进行科学的分区管理。
To investigate the spatial distribution of soil available secondary elements Ca,Mg and S and its influencing factors,and provide a theory basis for management of secondary elements and fertilizing reasonably on tobacco,total 2088 soil samples were collected based on GPS technique.Available Ca,Mg and S were analyzed by Atomic Absorption Spectrometry.It addition,spatial variability and influencing factors of 3 secondary elements were studied.The concentrations of soil available Ca and Mg in Qujing tobacco area were moderate variability with the averages of 2579.2 and 323.0mg/kg,respectively.The concentrations of soil available S represented strong variability with the average of 37.6mg/kg.Soil available Ca,Mg and S were moderate spatial autocorrelations,and their spatial variability was caused by structural factors and random factors.Soil available Ca,Mg were high in most areas（96.5% and 96.0%） and soil available S was low（ 16mg/kg） or too high（ 50mg/kg） in some areas（0.70 % and 9.80%） in Qujing tobacco area.Altitude,terrain conditions,soil types,soil pH,organic fertilizer application rate and preceding crops were influencing factors of 3 secondary elements.Scientific management should be adopted to manage secondary elements in soil according to the status of secondary elements in different areas.
出处
《核农学报》
CAS
CSCD
北大核心
2011年第3期540-547,共8页
Journal of Nuclear Agricultural Sciences
基金
国家烟草专卖局项目(09YN025)
湖南省研究生创新项目(CX2010B309)
烟草工商研共建原料与品牌协同发展机制(ESTB)项目(福建中烟工业公司)(110200801036)
关键词
烟区
土壤中量元素
地统计学
空间变异
影响因子
tobacco area
soil available secondary element
geo-statistics
spatial variability
influencing factor
