PT  - JOURNAL ARTICLE
AU  - Ben L. Phillips
TI  - Evolutionary processes make invasion speed difficult to predict
AID  - 10.1101/013680
DP  - 2015 Jan 01
TA  - bioRxiv
PG  - 013680
4099  - http://biorxiv.org/content/early/2015/01/11/013680.short
4100  - http://biorxiv.org/content/early/2015/01/11/013680.full
AB  - A capacity to predict the spread rate of populations is critical for understanding the impacts of climate change and invasive species. Despite sophisticated theory describing how populations spread, the prediction of spread rate remains a formidable challenge. As well as the inherent stochasticity in the spread process, spreading populations are subject to strong evolutionary forces (operating on dispersal and reproductive rates) that can cause accelerating spread. Despite these strong evolutionary forces, serial founder events and drift on the expanding range edge mean that evolutionary trajectories in the invasion vanguard may be highly stochastic. Here I develop a model of spatial spread in continuous space that incorporates evolution of continuous traits under a quantitative genetic model of inheritance. I use this model to investigate the potential role of evolution on the variation in spread rate between replicate model realisations. Models incorporating evolution exhibited more than four times the variance in spread rate across replicate invasions compared with nonevolving scenarios. Results suggest that the majority of this increase in variation is driven by evolutionary stochasticity on the invasion front rather than initial founder events: in many cases evolutionary stochasticity on the invasion front contributed more than 90% of the variance in spread rate over 30 generations. Our uncertainty around predicted spread rates - whether for invasive species or those shifting under climate change - may be much larger than we expect when the spreading population contains heritable variation in rates of dispersal and reproduction.