Modelling pest dynamics under uncertainty in pest detection: The case of the Red Palm Weevil. Biological Invasions [Dataset]

The data file contains data on Canary Island date palms Phoenix canariensis located in public gardens within Palma city and monitored between 2011 and 2017. We coded yearly observations on each palm (first seven columns on the excel file) into individual histories using the four following codes: 1 = palm tree apparently healthy (i.e. with no signs of weevil infestation); 2 = palm tree infested by red palm weevil and treated with a partial pruning (i.e. curative treatment); 3 = palm tree infested by red palm weevil and treated with a total cut (i.e. destructive treatment);0 = palm tree that no longer exist due to a destructive treatment applied the previous year. Columns 8 to 15 indicate the individual covariates used as linear predictors of infestation probabilities: the number of palms (P. canariensis and P. dactylifera) within a 500 m radius from each palm monitored. We sorted palms into public (“public”, i.e. those directly managed by the city council) and private (“priv”), differentiating in this last case between palms under the responsibility of other governmental entities (e.g. schools, namely “ent”) and those belonging to particular owners in private areas (e.g. hotels or other private gardens, namely “part”).