AI Article Synopsis
- Invasive species like insects and weeds pose significant threats to ecosystems and human health as they spread through the wind, but predicting these invasions is challenging due to a lack of tools.
- The study identifies that long-distance dispersal of these species, along with wildfire smoke, is influenced by atmospheric patterns called Lagrangian coherent structures (LCS).
- By integrating LCS modeling with biological data and atmospheric survival rates, researchers can create a new modeling system that predicts high-risk invasion events and sources, increasing the likelihood of effective management and eradication.
Article Abstract
Invasive species such as insects, pathogens, and weeds reaching new environments by traveling with the wind, represent unquantified and difficult-to-manage biosecurity threats to human, animal, and plant health in managed and natural ecosystems. Despite the importance of these invasion events, their complexity is reflected by the lack of tools to predict them. Here, we provide the first known evidence showing that the long-distance aerial dispersal of invasive insects and wildfire smoke, a potential carrier of invasive species, is driven by atmospheric pathways known as Lagrangian coherent structures (LCS). An aerobiological modeling system combining LCS modeling with species biology and atmospheric survival has the potential to transform the understanding and prediction of atmospheric invasions. The proposed modeling system run in forecast or hindcast modes can inform high-risk invasion events and invasion source locations, making it possible to locate them early, improving the chances of eradication success.
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