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Spotted lanternfly predicted to establish in California by 2033 without preventative management

Agriculture

Spotted lanternfly predicted to establish in California by 2033 without preventative management

C. Jones, M. M. Skrip, et al.

This impactful research conducted by Chris Jones, Megan M. Skrip, Benjamin J. Seliger, Shannon Jones, Tewodros Wakie, Yu Takeuchi, Vaclav Petras, Anna Petrasova, and Ross K. Meentemeyer unveils vital insights into the predicted spread of the spotted lanternfly in the US, emphasizing the potential risks for California's grape-producing counties by 2033. With innovative spatio-temporal modeling, this study establishes a crucial foundation for future pest control strategies.... show more
Abstract
Models that are both spatially and temporally dynamic are needed to forecast where and when non-native pests and pathogens are likely to spread, to provide advance information for natural resource managers. The potential US range of the invasive spotted lanternfly (SLF, Lycorma delicatula) has been modeled, but until now, when it could reach the West Coast's multi-billion-dollar fruit industry has been unknown. We used process-based modeling to forecast the spread of SLF assuming no treatments to control populations occur. We found that SLF has a low probability of first reaching the grape-producing counties of California by 2027 and a high probability by 2033. Our study demonstrates the importance of spatio-temporal modeling for predicting the spread of invasive species to serve as an early alert for growers and other decision makers to prepare for impending risks of SLF invasion. It also provides a baseline for comparing future control options.
Publisher
Communications Biology
Published On
Jun 08, 2022
Authors
Chris Jones, Megan M. Skrip, Benjamin J. Seliger, Shannon Jones, Tewodros Wakie, Yu Takeuchi, Vaclav Petras, Anna Petrasova, Ross K. Meentemeyer
Tags
spotted lanternfly
pest management
spatio-temporal modeling
California grapes
invasive species
forecasting
control strategies
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