Community assembly on isolated islands: macroecology meets evolution
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- A. J. Rominger
- Department of Environmental Science, Policy, and Management University of California Berkeley CA USA
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- K. R. Goodman
- Department of Environmental Science, Policy, and Management University of California Berkeley CA USA
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- J. Y. Lim
- Department of Integrative Biology University of California Berkeley CA USA
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- E. E. Armstrong
- Department of Environmental Science, Policy, and Management University of California Berkeley CA USA
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- L. E. Becking
- Department of Environmental Science, Policy, and Management University of California Berkeley CA USA
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- G. M Bennett
- Department of Integrative Biology University of Texas Austin TX USA
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- M. S. Brewer
- Department of Environmental Science, Policy, and Management University of California Berkeley CA USA
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- D. D. Cotoras
- Department of Integrative Biology University of California Berkeley CA USA
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- C. P. Ewing
- Institute for Marine Resources and Ecosystem Studies (IMARES), Wageningen University & Research Centre Den Helder The Netherlands
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- J. Harte
- Department of Environmental Science, Policy, and Management University of California Berkeley CA USA
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- N. D. Martinez
- Pacific Ecoinformatics and Computational Ecology Lab Berkeley CA USA
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- P. M. O'Grady
- Department of Environmental Science, Policy, and Management University of California Berkeley CA USA
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- D. M. Percy
- Department of Life Sciences Natural History Museum London UK
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- D. K. Price
- Department of Integrative Biology University of Texas Austin TX USA
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- G. K. Roderick
- Department of Environmental Science, Policy, and Management University of California Berkeley CA USA
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- K. L. Shaw
- Department of Neurobiology and Behavior Cornell Ithaca NY USA
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- F. S. Valdovinos
- Pacific Ecoinformatics and Computational Ecology Lab Berkeley CA USA
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- D. S. Gruner
- Department of Entomology University of Maryland College Park MD USA
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- R. G. Gillespie
- Department of Environmental Science, Policy, and Management University of California Berkeley CA USA
抄録
<jats:title>Abstract</jats:title><jats:sec><jats:title>Aim</jats:title><jats:p>Understanding how ecological and evolutionary processes together determine patterns of biodiversity remains a central aim in biology. Guided by ecological theory, we use data from multiple arthropod lineages across the Hawaiian archipelago to explore the interplay between ecological (population dynamics, dispersal, trophic interactions) and evolutionary (genetic structuring, adaptation, speciation, extinction) processes. Our goal is to show how communities develop from the dynamic feedbacks that operate at different temporal and spatial scales.</jats:p></jats:sec><jats:sec><jats:title>Location</jats:title><jats:p>The Hawaiian islands (19–22° <jats:styled-content style="fixed-case">N</jats:styled-content>, 155–160° <jats:styled-content style="fixed-case">W</jats:styled-content>).</jats:p></jats:sec><jats:sec><jats:title>Methods</jats:title><jats:p>We synthesize genetic data from selected arthropods across the Hawaiian archipelago to determine the relative role of dispersal and <jats:italic>in situ</jats:italic> differentiation across the island chronosequence. From four sites on three high islands with geological ages ranging from < 1 Ma to 5 Ma, we also generate ecological metrics on plant–herbivore bipartite networks drawn from the literature. We compare the structure of these networks with predictions derived from the principle of maximum information entropy.</jats:p></jats:sec><jats:sec><jats:title>Results</jats:title><jats:p>From the perspective of the island chronosequence we show that species at lower trophic levels develop population genetic structure at smaller temporal and spatial scales than species at higher trophic levels. Network nestedness decreases while modularity increases with habitat age. Single‐island endemics exhibit more specialization than broadly distributed species, but both show the least specialization in communities on middle‐aged substrates. Plant–herbivore networks also show the least deviation from theoretical predictions in middle‐aged communities.</jats:p></jats:sec><jats:sec><jats:title>Main conclusions</jats:title><jats:p>The application of ecological theory to island chronosequences can illuminate feedbacks between ecological and evolutionary processes in community assembly. We show how patterns of population genetic structure, decreasing network nestedness, increasing network modularity and increased specialization shift from early assembly driven by immigration, to <jats:italic>in situ</jats:italic> diversification after > 1 Myr. Herbivore–plant communities only transiently achieve statistical steady state during assembly, presumably due to incomplete assembly from dispersal in the early stages, and the increasing influence of island ontogeny on older islands.</jats:p></jats:sec>
収録刊行物
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- Global Ecology and Biogeography
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Global Ecology and Biogeography 25 (7), 769-780, 2015-07-14
Wiley