植物生活史型定量划分及其权重配置方法——以四棱豆生活史型划分为例

Abstract

PDF HTML阅读 XML下载 导出引用 引用提醒 植物生活史型定量划分及其权重配置方法——以四棱豆生活史型划分为例 DOI: 10.5846/stxb201107101024 作者: 作者单位: 肇庆学院生命科学学院 作者简介: 通讯作者: 中图分类号: 基金项目: 中国科学院战略性先导科技专项(XDA05050205);广东省科技计划项目(粤科规划字[2009]198号) The novel methods of quantitative classification of plant life cycle forms and weight collocation: taking classification of life cycle forms of Psophocarpus tetragonolobus as an example Author: Affiliation: College of Life Sciences, Zhaoqing University Fund Project: 摘要 | 图/表 | 访问统计 | 参考文献 | 相似文献 | 引证文献 | 资源附件 | 文章评论 摘要:植物生活史型定量划分方法研究是植物生活史型研究的重要内容。现有的生活史型定量划分方法是基于主成分分析法(PCA)建立起来的,未考虑性状指标之间的相互影响,因此需要探索适用于"网状"结构指标体系的植物生活史型划分新方法。根据植物生活史型划分指标的层次性特点,以攀援型和矮生型四棱豆(Psophocarpus tetragonolobus)为例,分别采用主成分分析法(PCA)、层次分析法(AHP)和网络层次分析法(ANP)对性状指标进行权重配置,计算性状指标的综合得分和生活史型划分参数,结果如下:与ANP相比,PCA计算的V型(营养生长型)参数值偏低(x在0.39以下),S型(有性生殖型)参数值偏高(z在0.453以上);AHP计算的V型参数值偏高(x在0.614以上),S型参数值偏低(z在0.088以下);3种方法计算的生活史型划分参数差异明显。由于PCA、AHP均要求性状指标之间相互独立,不能排除性状指标之间的关联,因此基于PCA、AHP的四棱豆生活史型划分结果均出现了偏差,表明性状指标之间的相关性影响了生活史型划分结果。ANP的指标体系为"网状"结构,其控制层、网络层各个指标之间均存在关联。构建ANP的判断矩阵时提取了性状指标的相关矩阵信息,权重配置反映了性状指标之间的相关关系。基于ANP方法对攀援型和矮生型四棱豆生活史型的划分结果分别为V0.517C0.327S0.156和V0.416C0.43S0.154。当性状指标之间的相关不显著时,可采用PCA和AHP法分配权重;当性状指标之间存在显著相关时,采用ANP法进行权重配置更为恰当。综上所述,基于ANP的植物生活史型划分方法解决了性状指标之间相互影响问题,为植物生活史型定量研究提供了新的有效方法。 Abstract:With the development of theoretical study on plant life cycle forms, quantitative classification methods have become one of the main research approaches in this field. The current methods for classification of plant life cycle forms are based on the principal component analysis (PCA). However, these methods just assume that plant trait indicators are independent variables and never make more serious with the interactions among target traits. Therefore, classification methods adapted for ‘mesh’ structure of plant life cycle forms need to be developed as an new indicator system. According to hierarchical characteristics of the indicator system of plant life cycle forms, both the climbing and dwarf types of Psophocarpus tetragonolobus were used as the experimental models to allocate the weights for trait indicators by principal component analysis (PCA), analytic hierarchy process (AHP) and analytic network process (ANP) respectively. The composite scores and classification parameters of trait indicators had been calculated respectively. The results were as follows: compared with ANP, parameter values (x) of V type (vegetative growth type) was below 0.39 and parameter values (z) of S type (sexual reproduction type) was over 0.39 by PCA, parameter values (x) of V type was over 0.614 and parameter values (z) of S type was below 0.088 by AHP. There were significant differences among these classification parameters of life cycle forms by three methods. For the PCA and AHP required independent trait indicators couldn't eliminate significant correlation among them, so there were deviations between the classification results based on PCA or AHP of plant life cycle forms on P. tetragonolobus. These results showed that the correlation of trait indicators affected classification results of life cycle forms. The indicator system of ANP is a 'mesh’ structure, and indicators for control and network layer are associated with each other. To build judgement matrices of control layer and network layer on ANP, the correlation information had been extracted from correlation matrices of trait indicators and the weight distribution really reflected the correlationship among trait indicators. The results based on ANP of life cycle forms in different types of climbing and dwarf for P. tetragonolobus were V0.517C0.327S0.156 and V0.416C0.43S0.154 respectively. If the correlation among trait indicators was not significant, both PCA and AHP can be used to calculate weights. Otherwise, the ANP is better for the case that there were significant correlation among them. To sum up, the classification method of plant life cycle forms based on ANP can be used not only to resolve the interdependence among each pair of indicators but also to provide new and effective ways for quantitative classification of plant life cycle forms. 参考文献 相似文献 引证文献