4.5 Article

The compound topology of host-parasite networks is explained by the integrative hypothesis of specialization

期刊

OIKOS
卷 2022, 期 1, 页码 -

出版社

WILEY
DOI: 10.1111/oik.08462

关键词

ecological networks; ecological specialization; modularity; nestedness; resource breadth; tradeoffs

类别

资金

  1. Graduate School in Ecology of the Federal University of Minais Gerais (ECMVS)
  2. Alexander von Humboldt Foundation [AvH: 3.4-8151/15037, 3.2-BRA/1134644]
  3. Minas Gerais Research Foundation [FAPEMIG: PPM-00324-15]
  4. Federal University of Minas Gerais [UFMG-PRPq: 02/2014]
  5. Brazilian Council for Scientific and Technological Development [CNPq: 472372/2013-0, 302700/2016-1, 304498/2019-0]
  6. Brazilian Coordination for the Improvement of Higher Education Personnel (CAPES)
  7. Research Program of the Biodiversity of the Atlantic Forest [PPBio-MA/CNPq: 457458/2012-7]
  8. University of Sao Paulo [PRP-USP: 18.1.660.41.7]
  9. Sao Paulo Research Foundation [FAPESP: 2018/20695-7]

向作者/读者索取更多资源

The study explores the relationship between topology and performance in interaction networks using the integrative hypothesis of specialization. The results show a compound topology in the network, with different relationship patterns observed at different geographic scales.
What is the prevalent topology among interaction networks? How do consumers balance between generalism and performance when exploiting different resources? These two long-standing, still open questions have been unified under a common framework by the integrative hypothesis of specialization (IHS). According to the IHS, ecological specialization is structured by different processes at small and large network hierarchical levels, from an entire network to its modules and nodes. From those hierarchical processes, two patterns are expected. First, a modular network with internally nested modules, i.e. a compound topology. Second, different relationships between consumer performance and generalism on different network hierarchical levels. We confirmed those predictions using an extensive data set of host-parasite interactions, compiled from several studies, and spanning decades of fieldwork in the Palearctic Region. We used a set of topological analyses combined in a novel protocol based on the IHS to disentangle the complexity of this data set at different geographic scales, from local to regional. As predicted, the studied network indeed has a compound topology at both local and regional geographic scales. In addition, the relationship between parasite generalism and performance changes from negative in an entire network to positive within its modules. But, as expected, this shift in the signal of the generalism versus performance relationship happens only in local networks with a compound structure. Our results shed light on two central debates about topology and performance and provide insight into their solution.

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