标题： 植物网络：如何测量蔬菜物种的相似性 显示英文标题

标题： Networks of plants: how to measure similarity in vegetable species

摘要： 尽管存在几乎静态生物的常见误解，植物确实持续与环境和其他植物相互作用。 可以合理地假设，在其进化过程中，它们发展出了特定的特征来克服问题并利用环境中的机会。 在本文中，我们引入了基于复杂网络理论最新进展的各种定量度量，这些度量能够测量不同物种的有效相似性。 通过使用这种方法对果实类型生态特征的相似性进行分析，我们以类似于传统分类学分类的方式获得了清晰的植物分类。 这一结果并非微不足道，因为基于传播体形态学特性进行的类似分析并未提供任何明确的参数来对植物种类进行分类。 因此，可以利用复杂网络理论来确定众多特征中哪些可用于区分植物的范围及其可能的进化。 这种方法的未来应用包括功能分类以及对自然中植物群落的定量确定。 显示英文摘要

摘要： Despite the common misconception of nearly static organisms, plants do interact continuously with the environment and with each other. It is fair to assume that during their evolution they developed particular features to overcome problems and to exploit possibilities from environment. In this paper we introduce various quantitative measures based on recent advancements in complex network theory that allow to measure the effective similarities of various species. By using this approach on the similarity in fruit-typology ecological traits we obtain a clear plant classification in a way similar to traditional taxonomic classification. This result is not trivial, since a similar analysis done on the basis of diaspore morphological properties do not provide any clear parameter to classify plants species. Complex network theory can then be used in order to determine which feature amongst many can be used to distinguish scope and possibly evolution of plants. Future uses of this approach range from functional classification to quantitative determination of plant communities in nature.