G. M. Yenni

This study evaluates how ecological forecasting models perform under novel biotic conditions using a long-term desert rodent experiment, showing reduced accuracy and increased uncertainty when models are transferred to new conditions.

The paper shows that changes in competitive interactions can drive shifts in species phenology, with species exhibiting different responses to environmental factors depending on their competitive context.

This paper develops an automated iterative forecasting system for ecological systems, demonstrating its application to rodent abundance forecasts using monthly data from the Portal Project.