摘要
采用序贯高斯模拟方法对山东禹城市土壤质量指数的空间表征进行了评价,并深入分析了土壤肥力低下区的范围及其主要限制因子。结果表明,禹城市西南和中部土壤肥力质量指数较高,肥力质量较低的区域主要分布在该市北部、西北和东南三个区域。利用土壤肥力质量与产量的关系,确定禹城市土壤肥力低下的判定阈值为0.55,该市大部分区域土壤质量指数处于该阈值以上,仅在北部、西北和东南三个相对独立的区域共有2 494 hm2的耕地土壤肥力低下的风险较高。该市北部肥力低下区的主要限制因子是土壤质地和全磷含量,西北部主要受土壤盐化限制,而东南部的土壤肥力低下区则受土壤速效养分低、土壤盐化、质地较差以及土壤全氮含量不足等多个限制因子影响。
To perform sustainable land use management, it is essential to predict accurately spatial distribution of soil fertility quality and identify problem areas in soil fertility quality. Based on the soil fertility quality data of a total of 99 samples of topsoil （0 -20 era） from Yueheng City, the sequential Gaussian simulation （SGS） method was applied to a conditional stochastic simulation in this paper to quantitatively assess the uncertainty of spatial distribution prediction of soil fertility quality and identify problem areas in soil fertility quality. Results show that the southwestern and the central parts of Yucheng City are higher than the northern part, the northwestern and the southeastern parts in soil fertility quali- ty. By making use of the relationship between soil fertility and crop yield, the threshold value for identifying problem areasin soil fertility quality is determined to be 0.55. The soil quality indices of most parts of the city are beyond the value. Using this cutoff value and the spatial uncertainty assessment, only a total of 2 494 hm2 of land is identified as problem ar- ea. The main limiting factors are soil texture and low soil total phosphorus content in the northern part of the study area, soil salinization in the northwestern part, and low soil nutrient availability nutrient, soil salinization, poor soil texture and low soil total nitrogen content.
出处
《土壤学报》
CAS
CSCD
北大核心
2012年第5期841-849,共9页
Acta Pedologica Sinica
基金
中国科学院知识创新工程重大项目(KSCX1-YW-09-02)
公益性行业(农业)科研专项经费项目(200903001-01)资助
关键词
土壤质量评价
随机条件模拟
空间不确定性
华北平原
Soil quality evaluation
Conditional stochastic simulation
Spatial uncertainty
The North China Plain
