Including Environmental Data Improves Effectiveness Of Invasive Species Range Predictions

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.
Including Environmental Data Improves Effectiveness Of Invasive Species Range Predictions

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