Malyon D. Bimler

EEMtoolbox is an R package that enables flexible ensemble ecosystem modeling using either accept-reject or sequential Monte Carlo methods, supporting multiple model structures for conservation applications.

This paper introduces a simple population dynamics model that can handle both beneficial and harmful interactions, demonstrating its applicability in data-poor ecological scenarios.

The paper compares ecological network inference methods across scales and data types, showing significant inconsistencies and advocating for a framework to guide method selection based on research context.