Modeling plant invasion on Mediterranean coastal landscapes: An integrative approach using remotely sensed data

摘要: Abstract Although many hypotheses explaining invasion success have been formulated, drivers are usually tested in isolation. This work aims to analyze the combined influence of propagule pressure (P), abiotic (A) and biotic (B) factors (PAB) on determining process an exotic plant taxon (Carpobrotus sp.) Mediterranean coastal landscapes. Specifically, we used a binomial Generalized Additive Model for exploring relation between occurrence invasive species set PAB proxy variables derived from high-resolution remote sensed imagery (LiDAR – Light Detection Ranging orthophotos). We evaluated predictive power model by computing mean AUC scores obtained through 5-fold cross-validation visual inspection Hosmer-Lemeshow plot. The integrated approach efficiently captured different roles played affecting presence species. Invasion does not proceed homogeneously across landscape, but is promoted wherever action favorable establishment invader. Moreover, use remotely data allowed us invader-landscape relationship large geographic extent highlight sectors that most likely be invaded future.