Ecological network structure in response to community assembly processes over evolutionary time

Author:

Graham Natalie R.1ORCID,Krehenwinkel Henrik2ORCID,Lim Jun Ying3ORCID,Staniczenko Phillip4ORCID,Callaghan Jackson5ORCID,Andersen Jeremy C.6ORCID,Gruner Daniel S.7ORCID,Gillespie Rosemary G.1ORCID

Affiliation:

1. Department of Environmental Sciences Policy and Management University of California Berkeley Berkeley California USA

2. Department of Biogeography, Faculty of Regional and Environmental Sciences Trier University Trier Germany

3. Department of Biological Sciences National University of Singapore Singapore

4. Department of Biology, Brooklyn College City University of New York New York New York USA

5. Department of Integrative, Structural and Computational Biology The Scripps Research Institute San Diego California USA

6. Department of Environmental Conservation University of Massachusetts Amherst Amherst Massachusetts USA

7. Department of Entomology University of Maryland College Park Maryland USA

Abstract

AbstractThe dynamic structure of ecological communities results from interactions among taxa that change with shifts in species composition in space and time. However, our ability to study the interplay of ecological and evolutionary processes on community assembly remains relatively unexplored due to the difficulty of measuring community structure over long temporal scales. Here, we made use of a geological chronosequence across the Hawaiian Islands, representing 50 years to 4.15 million years of ecosystem development, to sample 11 communities of arthropods and their associated plant taxa using semiquantitative DNA metabarcoding. We then examined how ecological communities changed with community age by calculating quantitative network statistics for bipartite networks of arthropod–plant associations. The average number of interactions per species (linkage density), ratio of plant to arthropod species (vulnerability) and uniformity of energy flow (interaction evenness) increased significantly in concert with community age. The index of specialization has a curvilinear relationship with community age. Our analyses suggest that younger communities are characterized by fewer but stronger interactions, while biotic associations become more even and diverse as communities mature. These shifts in structure became especially prominent on East Maui (~0.5 million years old) and older volcanos, after enough time had elapsed for adaptation and specialization to act on populations in situ. Such natural progression of specialization during community assembly is probably impeded by the rapid infiltration of non‐native species, with special risk to younger or more recently disturbed communities that are composed of fewer specialized relationships.

Publisher

Wiley

Subject

Genetics,Ecology, Evolution, Behavior and Systematics

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