Kiona Ogle’s research focuses on developing a mechanistic understanding of how plants and ecosystems are affected by climate change. She uses integrative approaches that meld field experiments, observations, diverse data sources, and statistical and mathematical modeling.
Ogle’s team studies how carbon and water cycling processes in deserts – spanning soils, plants, and ecosystems – are impacted by changes in temperature and precipitation. The team is also developing new approaches to scaling — from individual tree behavior to regional forest dynamics. Ogle studies various traits of over 300 tree species in the U.S. to develop individual-based models of tree growth and mortality that can be applied at large spatial scales. This will provide insights into which traits are critical for predicting tree growth and mortality.
She teaches Bayesian modeling and contributes to undergraduate conservation biology and ecology curriculum.
- Ogle, K., J.M. Cable, C. Tucker (2013) Beyond simple linear mixing models: Process-based isotope partitioning of ecological processes. Ecological Applications, DOI: http://dx.doi.org/10.1890/12-1970.1
- Cable, J.M., K. Ogle, G. Barron-Gafford, L.P. Bentley, W.L. Cable, R.L. Scott, D.G. Williams, T.E. Huxman (2013) Differential responses to antecedent conditions influence soil respiration in shrub and grass patches. Ecosystems, DOI: 10.1007/s10021-013-9679-7
- Ogle, K., J.J. Barber, K. Sartor (2013). Feedback and modularization in a Bayesian meta-analysis of tree traits affecting forest dynamics. Bayesian Analysis, 8:133-168.
- Tucker, C., J. Bell, E. Pendall, K. Ogle (2013) Substrate depletion versus thermal acclimation of soil respiration: carbon-use efficiency as an underlying mechanism of both. Global Change Biology, 19:252-263.
- Sonderegger, D., K. Ogle, R. D. Evans, R.S. Nowak, S. Ferguson (2013). Temporal dynamics of root growth under long-term exposure to elevated CO2 in the Mojave Desert. New Phytologist, 138:127-138.