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Experimentally testing and assessing the predictive power of species assembly rules for tropical canopy ants
Authors:Tom M Fayle  Paul Eggleton  Andrea Manica  Kalsum M Yusah  William A Foster
Institution:1. Institute of Entomology, Biology Centre of Academy of Sciences Czech Republic and Faculty of Science, University of South Bohemia, ?eské Budějovice, Czech Republic;2. Forest Ecology and Conservation Group, Imperial College London, Silwood Park Campus, Berkshire, UK;3. Institute for Tropical Biology and Conservation, Universiti Malaysia Sabah, Kota Kinabalu, Sabah, Malaysia;4. Life Sciences Department, Natural History Museum, London, UK;5. Evolutionary Ecology Group, Department of Zoology, University of Cambridge, Cambridge, UK;6. Insect Ecology Group, University Museum of Zoology Cambridge, Cambridge, UK
Abstract:Understanding how species assemble into communities is a key goal in ecology. However, assembly rules are rarely tested experimentally, and their ability to shape real communities is poorly known. We surveyed a diverse community of epiphyte‐dwelling ants and found that similar‐sized species co‐occurred less often than expected. Laboratory experiments demonstrated that invasion was discouraged by the presence of similarly sized resident species. The size difference for which invasion was less likely was the same as that for which wild species exhibited reduced co‐occurrence. Finally we explored whether our experimentally derived assembly rules could simulate realistic communities. Communities simulated using size‐based species assembly exhibited diversities closer to wild communities than those simulated using size‐independent assembly, with results being sensitive to the combination of rules employed. Hence, species segregation in the wild can be driven by competitive species assembly, and this process is sufficient to generate observed species abundance distributions for tropical epiphyte‐dwelling ants.
Keywords:Asplenium  bird's nest fern  diffuse competition  epiphyte  Formicidae  microcosm  mutualism  nearest neighbour competition  rainforest
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