Identifying hotspots for plant invasions and forecasting focal points of further spread
Article first published online: 26 NOV 2009
© 2009 The Authors. Journal compilation © 2009 British Ecological Society
Journal of Applied Ecology
Volume 46, Issue 6, pages 1219–1228, December 2009
How to Cite
Ibáñez, I., Silander Jr, John. A., Allen, J. M., Treanor, S. A. and Wilson, A. (2009), Identifying hotspots for plant invasions and forecasting focal points of further spread. Journal of Applied Ecology, 46: 1219–1228. doi: 10.1111/j.1365-2664.2009.01736.x
- Issue published online: 26 NOV 2009
- Article first published online: 26 NOV 2009
- Received 17 June 2009; accepted 21 October 2009 Handling Editor: A. Sheppard
- hierarchical Bayes;
- invasive species;
1. To ensure the successful detection, control and eradication of invasive plant species, we need information that can identify areas prone to invasions and criteria that can point out which particular populations may become foci of further spread. Specifically, our work aimed to develop statistical models that identify hotspots of invasive plant species and evaluate the conditions that give rise to successful populations of invasive species.
2. We combined extensive data sets on invasive species richness and on species per cent ground cover, together with climate, local habitat and land cover data. We then estimated invasive species richness as a function of those environmental variables by developing a spatially explicit generalized linear model within a hierarchical Bayesian framework. In a second analysis, we used an ordinal logistic regression model to quantify invasive species abundance as a function of the same set of predictor variables.
3. Our results show which locations in the studied region, north-eastern USA, are prone to plant species invasions given the combination of climatic and land cover conditions particular to the sites. Predictions were also generated under a range of climate scenarios forecasted for the region, which pointed out at an increase in invasive species incidence under the most moderate forecast. Predicted abundance for some of the most common invasive plant species, Berberis thumbergii, Celastrus orbiculatus, Euonymus alata, Elaeagnus umbellata and Rosa multiflora, allowed us to identify the specific conditions that promote successful population growth of these species, populations that could become foci of further spread.
4.Synthesis and applications. Reliable predictions of plants’ invasive potential are crucial for the successful implementation of control and eradication management plans. By following a multivariate approach the parameters estimated in this study can now be used on targeted locations to evaluate the risk of invasions given the local climate and landscape structure; they can also be applied under different climate scenarios and changing landscapes providing an array of possible outcomes. In addition, this modelling approach can be easily used in other regions and for other species.