In ecology it is widely recognised that many landscapes comprise a network of discrete patches of habitat. The species that inhabit the patches interact with each other through a foodweb, the network of feeding interactions. The meta-foodweb model proposed by Pillai et al. combines the feeding relationships at each patch with the dispersal of species between patches, such that the whole system is represented by a network of networks. Previous work on meta-foodwebs has focussed on landscape networks that do not have an explicit spatial embedding, but in real landscapes the patches are usually distributed in space. Here we compare the dispersal of a meta-foodweb on \ER networks, that do not have a spatial embedding, and random geometric networks, that do have a spatial embedding. We found that local structure and large network distances in spatially embedded networks, lead to meso-scale patterns of patch occupation by both specialist and omnivorous species. In particular, we found that spatial separations make the coexistence of competing species more likely. Our results highlight the effects of spatial embeddings for meta-foodweb models, and the need for new analytical approaches to them.
翻译:在生态学中,人们广泛认识到,许多地貌景观是由栖息地的离散部分组成的网络。居住在地缘上的物种通过食物网,即喂养互动网络彼此互动。Pillai等人提出的元食物网模型将每个地段的喂养关系与各地段之间物种的分散结合起来,因此整个系统由网络网络代表。以前关于元食物网的工作主要集中在没有明显空间嵌入的地貌网络上,但是在真实的地貌中,这些地段通常是在空间分布的。在这里,我们比较了在\ER网络上散布的元食物网,没有空间嵌入和随机几何网络,确实有空间嵌入。我们发现,在空间嵌入的网络中,当地结构和大网距离导致专家与食性物种之间的间隙占用模式。我们特别发现,空间分离使得相互竞争的物种更容易共存。我们的结果突出了空间嵌入元食物网模型的效果以及对这些模型的新分析方法的需要。