Erik Kusch

TwinEco introduces a unified framework for ecological digital twins to address fragmentation and improve interoperability through modularity, dynamic modeling, and action linkage.

This paper develops a simulation framework to evaluate the performance of ecological network inference methods by comparing inferred networks to realisable association networks.

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.