Plant invasion risk: A quest for invasive species distribution modelling in managing protected areas

摘要: Abstract Preventing biological invasions in areas of conservation concern represents the most cost-effective strategy to minimize impact Invasive Alien Species (IAS) on native communities. In this context, invasive Distribution Models (iSDMs) are a sound tool for predicting invasion risk protected areas. Although their potential support species managers is widely acknowledged, evidence iSDMs providing actual solutions still scarce. With work, we propose an iSDM-based methodology that accounts role multiple drivers assess posed by IAS Using binomial Generalized Additive Model, predicted occurrence highly plant Mediterranean dune systems. According occurrence, quantified invasibility sites inside study area, classified each site low medium-high categories, and identified site-specific management perspectives. Our results encourage use as means evaluating areas, and, at same time, represent attempt fill gap between theory practice decision-making.