The worldwide networks of spread of recorded alien species

Alien species
DOI: 10.1073/pnas.2201911120 Publication Date: 2022-12-27T21:15:16Z
ABSTRACT
Our ability to predict the spread of alien species is largely based on knowledge previous invasion dynamics individual species. However, in view large and growing number species, understanding universal patterns common among taxa but specific regions would considerably improve our future biological invasions. Here, using a comprehensive dataset years first record for four major groups (birds, nonmarine fishes, insects, vascular plants), we applied network approach uncover frequent sequential recordings across countries worldwide. analysis identified few as consistent early recorders with many subsequent records reported from close geographic vicinity. These findings indicate that consists two levels, backbone main dispersal hubs, driving intercontinental movement, intracontinental radiative their Geographical proximity climatic similarity were significant predictors same-species recording countries. International trade was predictor relative timing recordings, having higher levels flows consistently earlier. Targeting have emerged hubs may substantial cascading effects global significantly reducing Furthermore, these early-warning system upcoming invasions also boost national prevention preparedness efforts.
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