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基于突变级数法的天然草地分类
其他题名Classification of natural grassland based on catastrophe progression method
文畅平
来源期刊草业科学
ISSN1001-0629
出版年2015
卷号32期号:2页码:174-181
中文摘要本研究在综合分析天然草地的生态状况、可再生产能力和经济条件3方面因素的基础上,建立了天然草地分类评价的递阶层次指标体系;在相关研究成果的基础上,将天然草地分为温性荒漠类、温性草原类和草甸类3个类别,并选用新疆准噶尔盆地西部地区的18个天然草地样本作为训练样本,建立了突变级数判据;选用另外13个天然草地样本作为判别样本,以检验该突变级数判据的可行性和可靠性。结果表明,该突变级数判据对判别样本的分类结果合理,突变级数法可以很好地反映不同类型天然草地间的资源属性,且分类结果与灰色关联度分析法、投影寻踪法、投影寻踪动态聚类法、集对分析法和自组织特征映射(SOFM)神经网络法的分类结果基本一致。
英文摘要Based on catastrophe theory,catastrophe progression method of natural grassland classification was put forward to provide reference for the quantitative study on natural grassland classification.Three factors including ecological situations,reproduction abilities and economic conditions of natural grassland were taken into accounted synthetically in this study,and the hierarchical index system for natural grassland classification was constructed.On the basis of the relevant researches,the natural grassland was divided into 3 grades:temperate desert type,temperate steppe type and meadow grassland type,and 18 natural grassland samples from western Junggar Basin,Sinkiang,China,were selected as the training samples,and the catastrophe progression recognition criteria were presented.The additional 13 natural grassland samples were selected as the testing samples,and evaluated to verify the feasibility and reliability of the proposed catastrophe progression recognition criteria.The study showed that catastrophe progression method could better reflect the resources attributes of natural grassland,and the classification results of 13 natural grassland testing samples were reasonable,and agreed well with that of grey relational analysis method,projection pursuit method,projection pursuit dynamic cluster method,set pair analysis method,and the self-organizing feature maps(SOFM) neural network method.
中文关键词天然草地 ; 数量化分类 ; 突变级数法 ; 突变理论 ; 模糊数学
英文关键词natural grassland quantitative classification catastrophe progression method catastrophe theory fuzzy mathematics
语种中文
国家中国
收录类别CSCD
WOS类目AGRICULTURE MULTIDISCIPLINARY
WOS研究方向Agriculture
CSCD记录号CSCD:5360542
资源类型期刊论文
条目标识符http://119.78.100.177/qdio/handle/2XILL650/232398
作者单位中南林业科技大学土木工程与力学学院, 长沙, 湖南 410004, 中国
推荐引用方式
GB/T 7714
文畅平. 基于突变级数法的天然草地分类[J],2015,32(2):174-181.
APA 文畅平.(2015).基于突变级数法的天然草地分类.草业科学,32(2),174-181.
MLA 文畅平."基于突变级数法的天然草地分类".草业科学 32.2(2015):174-181.
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