In the beginning: phenotypic change in three invasive species through their first two centuries since introduction
Previous studies have demonstrated that most introduced species go through rapid phenotypic change during their first decades to centuries of being introduced to a new range. However, little is known about the trends these phenotypic changes follow through time. Using herbarium specimens we track changes in the leaf area, leaf shape and plant height of three species (Epilobium ciliatum Raf., Senecio squalidus L. and Veronica persica Poir.) through their first ~200 years since introduction to the United Kingdom. All three species showed fluctuating direction and strength of phenotypic change through time. Then, we asked whether invasive species showed an initial lag phase in phenotypic change. Contrary to some expectations, we found that none of our species underwent a lag phase for the first 100 years after introduction. This is probably because the strongest selective pressures are exerted on them at the very beginning of their invasion, when the mismatch between their traits and the optimum for the new environment is greatest. Finally, we asked whether invasive species were still changing, or whether they had reached a new equilibrium, finding that all three species were still changing in at least one trait more than a century after their introduction. Our results suggest that some invasive species are yet to demonstrate their full potential as invaders. Overall, our study shows that species are labile in the face of environmental change. Identifying the long term trajectories of invasive species’ phenotypic change during invasion provides important clues for their appropriate management.
KeywordsHerbarium specimens Invasive species Lag-phase Leaf traits Plant height Rapid evolution
To the curators and herbaria collections from British and Irish Herbarium Natural History Museum, The Field-Druce herbarium Oxford University, Cambridge University herbarium, University of Sheffield, Liverpool Museum herbaria, Manchester Museum herbaria and The Royal Botanical Gardens Kew, London. H.F.M. wants to thank to Dr Mark Spencer and Serena Marner for their patience and invaluable advice and to Rhiannon Dalrymple for her thoughtful comments on previous versions of this manuscript. H.F.M. was supported by a scholarship from the Evolution and Ecology Research Centre at UNSW and the Australian Research Council (DP 0984222). A.T.M. was supported by funding from the Australian Research Council (DP 0984222).
- Biological Records Centre (2013) Online Atlas of the British and Irish Flora. http://www.brc.ac.uk/plantatlas/. Accessed June 2013
- Holt RD, Barfield M, Gomulkiewicz R (2005) Theories of niche conservatism and evolution: could exotic species be potential tests? In: Sax DF, Stachowicz JJ, Gaines SD (eds) Species invasions: insights inot ecology, evolution, and biogeography. Sinauer Associates, Sunderland, pp 259–290Google Scholar
- Kowarik I (1995) Time lags in biological invasions. In: Pyšek P, Prach K, Rejmánek M and Wade M (eds) Plant invasions - general aspects and special problems. SPB Academic Publishing, Amsterdam, pp 15–38Google Scholar
- Lee CE (2002) Evolutionary genetics of invasive species. Trends Ecol Evol 17:9–11Google Scholar
- Mallat S (2008) A wavelet tour of signal processing: the sparse way. Academic Press, San DiegoGoogle Scholar
- Matlab (2010) Matlab version 188.8.131.524 (R2010b). Natick, Massachusetts www.mathworks.com/
- Mooney HA, Cleland EE (2001) The evolutionary impact of invasive species. Proc Natl Acad Sci 98(10):5446–5451Google Scholar
- Rasband WS (1997-2013) ImageJ, US National Institutes of Health, Bethesda, Maryland, USA. Bethesda, Maryland http://rsb.info.nih.gov/ij/
- Sokal RR, Rohlf FJ (1995) Biometry: the principles and practices of stastistics in biological research. W.H Freeman, New YorkGoogle Scholar
- Strong DR, Lawton JH, Southwood SR (1984) Insects on plants. Community patterns and mechanisms. Harvard University Press, CambridgeGoogle Scholar
- R Core Team (2013) R: a language and environment for statistical computing. Vienna, Austria http://www.r-project.org