June 5, 2024 — Researchers at the Hebrew University of Jerusalem have developed an innovative computer algorithm designed to mitigate growing threats posed by invasive species to biodiversity and the global economy. 

According to the study published in PLOS Computational Biology, the algorithm presents optimal control strategies for the complex spatial-temporal dynamics of populations, allocating limited resources across various locations that are crucial for protecting ecosystems, agriculture, and public health from these damaging species. It is adaptable to a wide range of population dynamical models and treatment methods and optimizes the use of limited resources in environmental conservation efforts. 

“The findings demonstrate a promising advancement in environmental management practices,” says Prof. Adam Lampert of the Hebrew University Institute of Environmental Sciences at the Robert H. Smith Faculty of Agriculture, Food, and Environment. “The algorithm was developed for both a general model and one that is more specific for the spongy moth in North America, demonstrating its potential to significantly improve current strategies.” 

This development is particularly timely, as invasive species continue to pose increasing threats to biodiversity and the global economy. By improving how treatment efforts are distributed in combatting these species, the algorithm can support policymakers and conservationists in their ongoing efforts to safeguard environmental health. 

The research paper titled “Optimizing strategies for slowing the spread of invasive species” can be accessed here.