作者: João Martins , Joana R. Vicente , Rui F. Fernandes , João P. Honrado , Antoine Guisan
DOI: 10.1016/J.JNC.2019.04.001
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摘要: Abstract To protect native biodiversity and habitats from the negative impacts of biological invasions, comprehensive studies measures to anticipate invasions are required, especially across countries in a transfrontier context. Species distribution models (SDMs) can be particularly useful integrate different types data predict invasive species borders, both for current conditions under scenarios future environmental changes. We used SDMs test whether predicting potential spatial conflicts with protected areas context, climatic conditions, would provide additional insights on patterns drivers invasion when compared obtained predictions individual regions/countries (different modelling strategies). The framework was tested alien plant Acacia dealbata North Portugal/NW Spain Euro-region, where is predicted increase its conditions. While fitted context using “the national strategy (with Portugal calibration data) presented similar patterns, higher former. expectedly allowed capture more complete accurate representation species’ niche. Predictions therefore suitable support resource prioritisation anticipation monitoring while also providing international cooperation tackling issues global change. Our proposed provided information by A. an emphasis areas. This crucial decision-makers focusing prevention inside opening new way collaborative management invasions.