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Including Environmental Data Improves Effectiveness Of Invasive Species Range Predictions

Date:
March 19, 2009
Source:
Ecological Society of America
Summary:
Predicting the future spread of invasive species presents a challenge to ecologists that has until recently only been addressed by comparing species climate tolerance with established climate maps to predict susceptible areas. A new study finds, however, that when land-use and habitat data are incorporated, models predict that species may also be likely to colonize areas with unfavorable climates.

Predicting the future spread of invasive species presents a challenge to ecologists that has until recently only been addressed by comparing species climate tolerance with established climate maps to predict susceptible areas. A new study finds, however, that when land-use and habitat data are incorporated, models predict that species may also be likely to colonize areas with unfavorable climates.

Inés Ibáñez of the University of Michigan and her colleagues examined not only historical and current climatic data, but also historical environmental information from both the native and invaded ranges of three New England invasive plants: Japanese barberry, bittersweet and winged euonymus (or burning bush). The models took into account human development, disturbances and agricultural land use; habitat measures of local ground cover, such as forest type and wetlands type, were also included.

The researchers found that although climate plays a large role in predicting invasive species distribution, the inclusion of land use and habitat data improve the explanatory power of their models. In some instances, the combination of an unfavorable climate with a suitable landscape cover increased the probability of species establishment. On the other hand, some areas with favorable climates became less so when their unfavorable habitat data were included.

Most importantly, the researchers write, their models can be modified and used in other systems to predict biological invasions anywhere in the world.


Story Source:

The above story is based on materials provided by Ecological Society of America. Note: Materials may be edited for content and length.


Journal Reference:

  1. Ibáñez et al. Multivariate forecasts of potential distributions of invasive plant species. Ecological Applications, 2009; 19 (2): 359 DOI: 10.1890/07-2095.1

Cite This Page:

Ecological Society of America. "Including Environmental Data Improves Effectiveness Of Invasive Species Range Predictions." ScienceDaily. ScienceDaily, 19 March 2009. <www.sciencedaily.com/releases/2009/03/090319121626.htm>.
Ecological Society of America. (2009, March 19). Including Environmental Data Improves Effectiveness Of Invasive Species Range Predictions. ScienceDaily. Retrieved September 23, 2014 from www.sciencedaily.com/releases/2009/03/090319121626.htm
Ecological Society of America. "Including Environmental Data Improves Effectiveness Of Invasive Species Range Predictions." ScienceDaily. www.sciencedaily.com/releases/2009/03/090319121626.htm (accessed September 23, 2014).

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