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The successional pathway of the tree community and how it shapes the fruit-feeding butterfly community in an Afrotropical forest

Published online by Cambridge University Press:  20 December 2016

Anu Valtonen ,
Geoffrey M. Malinga ,
Margaret Nyafwono ,
Philip Nyeko ,
Arthur Owiny  and
Heikki Roininen
Anu Valtonen*
Affiliation:
Department of Environmental and Biological Sciences, University of Eastern Finland, P.O. Box 111, FI-80101 Joensuu, Finland Center for Ecological Research, Kyoto University, Hirano 2, Otsu, Shiga 520–2113, Japan
Geoffrey M. Malinga
Affiliation:
Department of Environmental and Biological Sciences, University of Eastern Finland, P.O. Box 111, FI-80101 Joensuu, Finland Department of Biology, Gulu University, P.O. Box 166, Gulu, Uganda
Margaret Nyafwono
Affiliation:
Department of Environmental and Biological Sciences, University of Eastern Finland, P.O. Box 111, FI-80101 Joensuu, Finland Department of Environment and Natural Resources Management, Gulu University, P.O. Box 166, Gulu, Uganda
Philip Nyeko
Affiliation:
Department of Forestry, Biodiversity and Tourism, Makerere University, P.O. Box 7062, Kampala, Uganda
Arthur Owiny
Affiliation:
Department of Environmental and Biological Sciences, University of Eastern Finland, P.O. Box 111, FI-80101 Joensuu, Finland
Heikki Roininen
Affiliation:
Department of Environmental and Biological Sciences, University of Eastern Finland, P.O. Box 111, FI-80101 Joensuu, Finland
*
*Corresponding author. Email: anu.valtonen@uef.fi
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Abstract:

The relative importance of different bottom-up-mediated effects in shaping insect communities in tropical secondary forests are poorly understood. Here, we explore the roles of vegetation structure, forest age, local topography (valley vs. hill top) and soil variables in predicting fruit-feeding butterfly and tree community composition, and tree community composition in predicting fruit-feeding butterfly community composition, in different-aged naturally regenerating and primary forests of Kibale National Park, Uganda. We also examine which variables are best predictors of fruit-feeding butterfly species richness or diversity. Butterflies (88 species) were sampled with a banana-baited trap and trees (98 taxa) with a 40 × 20-m sampling plot at 80 sampling sites. The environmental variables explained 31% of the variation in the tree community composition, the best predictors being local topography, forest age and cover of Acanthus pubescens (a shrub possibly arresting succession). The fruit-feeding butterfly community composition was better predicted by tree community composition (explaining 10% of the variation) rather than vegetation structure, local topography or soil factors. Environmental variables and tree species richness (or diversity) were poor predictors of butterfly species richness (or diversity). Our results emphasize the importance of tree community to recovery of herbivorous insect communities in tropical secondary forests.

Keywords

community compositiondiversityforest regenerationinsectsLepidopteraprimary forestsecondary forestspecies richnessUgandavegetation structure
Type
Research Article
Information
Journal of Tropical Ecology , Volume 33 , Issue 1 , January 2017 , pp. 12 - 21
Copyright
Copyright © Cambridge University Press 2016 

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References

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