Genome and Systems Biology Degree Program, Academia Sinica and National Taiwan University, Taipei, Taiwan.
Institute of Statistical Science, Academia Sinica, Taipei, Taiwan.
Biol Lett. 2022 Jun;18(6):20220183. doi: 10.1098/rsbl.2022.0183. Epub 2022 Jun 29.
Biodiversity is measured from various perspectives. One of them, functional diversity, quantifies the heterogeneity in species traits and roles in an ecosystem. One important aspect of species roles is their interactions with other species, i.e. their network role. We therefore investigate here functional diversity from the network perspective. Species differ in their network positions in a food web, having different interaction patterns. We developed a measure for quantifying the diversity in species interaction patterns in a food web. We examined the relationship between interaction diversity and several global network properties for 92 food webs. Our results showed that high interaction diversity occurs in sparsely connected and less cohesive food webs. High interaction diversity also occurred in food webs with more clusters and high network modularity. We also quantified several conventional functional diversity indices and demonstrate that they show little or no correlation with interaction diversity. Our proposed diversity index therefore provides a measure complementary to current concepts of functional diversity.
生物多样性可以从多个角度进行衡量。其中，功能多样性量化了物种在生态系统中的特征和角色的异质性。物种角色的一个重要方面是它们与其他物种的相互作用，即它们的网络角色。因此，我们从网络的角度研究了功能多样性。物种在食物网中的网络位置不同，具有不同的相互作用模式。我们开发了一种衡量食物网中物种相互作用模式多样性的方法。我们研究了 92 个食物网中相互作用多样性与几个全局网络属性之间的关系。结果表明，在连接稀疏且凝聚力较低的食物网中，相互作用多样性较高。在具有更多聚类和高网络模块化的食物网中也存在较高的相互作用多样性。我们还量化了几个传统的功能多样性指数，并证明它们与相互作用多样性几乎没有相关性。因此，我们提出的多样性指数为当前功能多样性概念提供了一种补充衡量标准。
