Kiona OgleAffiliated Faculty/Professor, Informatics and Computing Program
Dr. Ogle’s research focuses on developing a mechanistic understanding of how plants and ecosystems are affected by environmental variability, including climate change factors. She uses integrative approaches that meld manipulative field experiments, observational studies, diverse data sources, statistical and mathematical modeling, and computational techniques.
Dr. Ogle’s research group works on projects that fall under four primary areas:
- Quantifying the time-scales of influence of past climate on tree growth response via tree-rings, especially in terms of responses to and recovery from drought across the Southwest.
- Understanding how carbon and water cycling processes in deserts – spanning soils, plants, and ecosystems – are impacted by antecedent conditions and environmental change.
- Quantifying the factors governing ecosystem and soil carbon dynamics, and the potential effects of non-steady state conditions and climate change on carbon fluxes and pools.
- Exploring the functional ecology of >300 tree species in the U.S. by developing individual-based models of tree growth and mortality, coupled to information on species-specific functional traits, and informed by large databases (e.g., forest inventories, climate databases, and literature databases).
Ogle K, Barber JJ, Barron-Gafford GA, Bentley LP, Cable JM, Huxman TE, Loik ME and Tissue DT (2015). Quantifying ecological memory of plant and ecosystem processes. Ecology Letters 18:221-235
Ogle K, Pendall E (2015) Isotope partitioning of soil respiration: Bayesian solution to accommodate multiple sources of variability. Journal of Geophysical Research –Biogeosciences 120: 221-236
Ryan E, Ogle K, Zelikova TJ, LeCain DR, Williams DG, Morgan JA, Pendall E (2015) Antecedent moisture and temperature conditions modulate the response of ecosystem respiration to elevated CO2 and warming CO2. Global Change Biology 21:2588-2602
Peltier D, Fell M, Ogle K (2016). Legacy effects of drought in the southwestern United States: A multi-species synthesis. Ecological Monographs 86:312-326
Ogle K, Ryan E, Dijkstra F, Pendall E (2016). Quantifying and reducing uncertainties in soil CO2 fluxes with hierarchical data-model integration. Journal of Geophysical Research – Biogeosciences, 121:2935-2948