biostudies-literatureUnknown9Marcantonio MAutonomous Province of TrentoVeneto region<h4>Background</h4>Invasive alien species represent a growing threat for natural systems, economy and human health. Active surveillance and responses that readily suppress newly established colonies are effective actions to mitigate the noxious consequences of biological invasions. However, when an exotic species establishes a viable population in a new area, predicting its potential spread is the most effective way to implement adequate control actions. Emerging invasive species, despite monitoring efforts, are poorly known in terms of behaviour and capacity to adapt to the new invaded range. Therefore, tools that provide information on their spread by maximising the available data, are critical.<h4>Methods</h4>We apply three different approaches to model the potential distribution of an Parasites & vectors63https://www.ebi.ac.uk/biostudies/studies/S-EPMC4739402biostudies-literatureFirst assessment of potential distribution and dispersal capacity of the emerging invasive mosquito Aedes koreicus in Northeast Italy.PMC4739402Neteler MMetz MBaldacchino FMarcantonio MCarlin SRizzoli AMontarsi FArnoldi DCapelli GfalseFirst assessment of potential distribution and dispersal capacity of the emerging invasive mosquito Aedes koreicus in Northeast Italy.<h4>Background</h4>Invasive alien species represent a growing threat for natural systems, economy and human health. Active surveillance and responses that readily suppress newly established colonies are effective actions to mitigate the noxious consequences of biological invasions. However, when an exotic species establishes a viable population in a new area, predicting its potential spread is the most effective way to implement adequate control actions. Emerging invasive species, despite monitoring efforts, are poorly known in terms of behaviour and capacity to adapt to the new invaded range. Therefore, tools that provide information on their spread by maximising the available data, are critical.<h4>Methods</h4>We apply three different approaches to model the potential distribution of an 2016-01-01T00:00:00Z2016 Feb2026-07-15T21:31:48.439Z2026-07-09T10:14:29.436ZS-EPMC47394022684254610.1186/s13071-016-1340-9