首页> 外文期刊>Polish journal of ecology >Habitat preferences of plant communities: New approach based on the GGE biplot analysis
【24h】

Habitat preferences of plant communities: New approach based on the GGE biplot analysis

机译:植物社区的栖息地偏好:基于GGE双向分析的新方法

获取原文
获取原文并翻译 | 示例
           

摘要

In this paper we introduce a new way of analysing habitat preferences of plant communities using the genotype and genotype-by-environment interaction effects (GGE) biplot method. We took into consideration real data on six plant associations belonging to the Molinio-Arrhenatheretea class. A total of 241 phytosociological releves collected with the Braun-Blanquet method were described by the Ellenberg indicators. The two-way classification releves-by-indicators was analysed with GGE. As a result it is proposed the modified biplot that contains ellipses for making the plot clearer. Next, we present the equations that described both axes and allow adding into the biplot any other releves or a mean of set of releves. Based on the generated biplot it is possible to present an ecological characteristics of any type of plant community including its acceptable and typical habitat requirements. The ellipse ranges provide important information about the homogeneity and ecological spectrum of the analysed syntaxon. The constructed equations allow comparing new data with data analysed previously. Summing up, the GGE biplot method is useful for analysing and graphically presenting ecological preferences of plant communities in a simple and comprehensive way.
机译:本文使用基因型和基因型 - 常相互作用效应(GGE)Biplot方法介绍了一种分析植物群落的栖息地偏好的新方法。我们考虑了属于Molinio-Arrhenatheretea类的六个工厂协会的真实数据。通过Ellenberg指示剂描述了用Braun-Blanquet方法收集的241个植物病变相关性。通过GGE分析了逐个指标的双向分类。因此,提出了包含椭圆的修饰的双批选项,用于制作绘图更清晰。接下来,我们介绍了描述了两个轴的等式,并允许将其添加到任何其他相关性或均相关的平均值。基于所产生的方法,可以提出任何类型的植物群体的生态特征,包括其可接受和典型的栖息地要求。椭圆范围提供有关分析的棘手的同质性和生态谱的重要信息。构造的方程允许将新数据与先前分析的数据进行比较。总结,GGE Biplot方法可用于以简单综合的方式分析和图形呈现植物群落的生态偏好。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号