Invasive plants constitute an important threat to global biodiversity, impacting on several systems and levels. Since these species seem to show an increased vigor making them able to outcompete native species, physiology markers constitute an essential tool to understand and model the invasion process.
Through the characterization of ecophysiological processes and traits such as competition, stress responses, clonal growth, and plasticity we try to understand which mechanisms confer invasion success. Moreover, the understanding of the physiological constraints behind invasive success contributes to generating combined approaches to develop effective management strategies.
Several technical advances have facilitated massive data acquisition and sharing, with multiple global datasets including invasive plant attributes, demographics and geospatial data being accessible for a broad audience. Biostatistical techniques including machine learning algorithms and offer the opportunity to integrate this information including their spatio-temporal complexity.
Ecological modelling of invasive plants distribution, traits and stress responses constitute essential tools to evaluate invasive risk, project species expansion and understand the mechanisms behind biological invasions.
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