A meta-analysis of the evolution of increased competitive ability hypothesis: genetic-based trait variation and herbivory resistance trade-offs
- 270 Downloads
Non-native organisms are an abundant component of almost all global ecosystems. A prominent framework to explain the success of non-native plants is the evolution of increased competitive ability (EICA) hypothesis. EICA predicts that plants escape from co-evolved herbivores after introduction into a non-native habitat. Assuming limited resources, a relaxation in selection pressures for resistance traits against the co-evolved specialist herbivores allows plants to allocate increased resources to traits related to fitness and/or competitive ability. Despite the prominence of the EICA hypothesis in the literature, empirical evidence has been mixed. We conducted a meta-analysis on 30 studies that focused on genetic-based trait variation and the trade-off between resistance traits and fitness to assess support for the EICA hypothesis. We found general support for EICA across studies. Performance of herbivores was higher on non-native plant populations than on native populations of the same species. Fitness trait values were higher in non-native populations, relative to native, and we found evidence for trade-offs between herbivore performance and plant fitness traits. Support for EICA was strongest when we focused on direct measurements of herbivore performance, and weakest when we assessed resistance traits, highlighting the complex and often unknown relationship between resistance traits and particular herbivores in many plant–herbivore systems.
KeywordsEvolution of increased competitive ability EICA Herbivory Non-native plants Meta-analysis
Rotter was supported by the Genes to Environment Program at Northern Arizona University. Thanks to the Holeski lab group, S. M. Mahoney, and several anonymous reviewers for providing comments on a draft of this manuscript as well as to the meta-analysis seminar group and N. C. Nieto at Northern Arizona University. Additional financial support was provided by Northern Arizona University (Holeski start-up funds).
- Aarssen LW (2005) On size, fecundity, and fitness in competing plants. In: Reekie E, Bazzaz FA (eds) Reproductive allocation in plants. Elsevier Academic Press, Oxford, pp 211–240Google Scholar
- Cooper HM, Lindsay JLL (1998) Research synthesis and meta-analysis. Sage Publications, Thousand OaksGoogle Scholar
- Hedges L, Olkin I (1985) Statistical models for meta-analysis. Academic Press, New YorkGoogle Scholar
- Pyšek P, Richardson DM (2008) Traits associated with invasiveness in alien plants: Where do we stand? In: Nentwig W (ed) Biological invasions. Springer, New York, pp 97–125Google Scholar
- Rosenberg MS, Adams DC, Gurevitch J (2000) MetaWin: statistical software for meta-analysis. Sinauer Associates, SunderlandGoogle Scholar
- Sax DF, Stachowicz JJ, Gaines SD (2005) Species invasions: insights into ecology, evolution and biogeography. Sinauer Associates, SunderlandGoogle Scholar
- Scott JA (1992) The butterflies of North America: a natural history and field guide. Stanford University Press, StanfordGoogle Scholar