土壤有机质预测性制图方法研究进展  

Technologies of Predictive Mapping for Soil Organic Matter

作　　者：吴才武[1] 夏建新[1] 段峥嵘[1] 

机构地区：[1]中央民族大学生命与环境科学学院,北京100081

出　　处：《土壤通报》2015年第1期239-247,共9页Chinese Journal of Soil Science

基　　金：中央民族大学985工程项目(MUC9807-08)资助

摘　　要：有机质是土壤重要组成部分,是衡量土壤肥力的重要指标。对土壤有机质空间制图,不仅可以了解土壤质量动态变化,而且对土壤区域变异性研究具有重要意义。对现今土壤有机质预测性制图的主要方法,包括地统计学、土壤-景观关系理论和遥感反演三种方法,分别进行了阐述,对其优缺点进行分析比较,以此明确各方法的使用特点和运用环境,并对土壤预测性空间制图中存在的问题进行分析,展望了土壤有机质预测性制图未来的研究趋势,以此为精准农业的实施和农业的可持续发展,提供基本的信息及建议。Organic matter is a major component of soil, playing an important role in indicating soil fertility. Mapping soil organic matter not only is to learn about the dynamic change of soil quality, but also is significant to research the regional variability of soil. The paper reviewed the main methods of predictive mapping of soil organic matter nowadays at first, including geostatistics method, soil-landscape analysis method, remote sensing retrieve method. Secondly, it compared the advantages and disadvantages of all methods in mapping soil organic matter in order to clarify the properties and application conditions for all methods. Next, it analyzed the problem in the predictive mapping of soil organic matter. Finally, the prospect of predictive mapping ofsoil organic matter was discussed in some research directions in the future. The aim of this paper was to provide fundamental information support and proposal for precise agriculture implementation and sustainable agricultural development.

关 键 词：有机质 土壤光谱 遥感 地统计 土壤制图 

分 类 号：S153.6[农业科学—土壤学]