Kiona Ogle

Kiona Ogle is a Professor in the School of Informatics, Computing, and Cyber Systems at Northern Arizona University. Her interdisciplinary research bridges ecology, statistics, and computational modeling, focusing on ecosystem responses to environmental change.

Her research interests center on ecological modeling, particularly using hierarchical Bayesian methods to understand soil respiration, tree growth, soil moisture dynamics, and climate change impacts. She investigates how ecosystems respond to precipitation pulses, drought, and temperature shifts, integrating field data with advanced statistical frameworks. Her work emphasizes uncertainty quantification and data-model integration in ecohydrology and biogeochemistry.

The recent articles highlight a consistent trend in applying Bayesian and meta-analytic approaches to ecological questions across diverse systems—from soil water content imputation to global analyses of plant responses to rainfall pulses. Her research spans forest ecology, riparian systems, and carbon cycling, often involving large-scale collaborations and open science practices.

Kiona Ogle actively contributes to scientific data sharing, with multiple datasets published on platforms like Zenodo and Dryad, supporting reproducibility and collaborative research in environmental science.