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M*A*T*H Colloquium Spring 2023 Presents: “A Data-Driven Approach to Prediction and Management in Ecology”

  • Darwin 103 or ZOOM (map)

Featured Speakers: Bethany Johnson, UC Santa Cruz

Humans depend on natural ecosystems on a global scale, so it is important to establish robust methods for management in ecology. We will explore one example of a space where reliable management is needed: insect pest control. Some insect species pose a threat to humans by jeopardizing food security in agricultural systems, acting as vectors for infectious diseases, and damaging forests and other ecosystems. Despite decades of research, effective management remains challenging. Incomplete knowledge of the mechanisms that drive population dynamics makes it difficult to develop accurate models for outbreaks, so control actions are often applied once outbreaks have already begun—too late to prevent significant damage. We will see how a data-driven approach called empirical dynamic modeling can effectively predict outbreaks, circumventing the need to understand the underlying ecosystem dynamics, and how optimal control theory can be used with the data-driven model to keep insect populations within acceptable bounds of tolerance. Finally, we will explore applications to ecosystems beyond insects.