Date of Award
Master of Science (MS)
Mathematics and Statistics
Predicting effects of climate change on species persistence often assumes that those species are responding to abiotic effects alone. However, biotic interactions between community members may affect species’ ability to respond to abiotic changes. Latent Gaussian models of resource availability using precipitation and NDVI and accounting for spatial autocorrelation and rodent group-level uncertainty in the process are developed to detect differences in seasons, groups, and the experimental removal of one group. Precipitation and NDVI have overall positive effects on rodent energy use as expected, but meaningful differences were detected. Differences in the importance of seasonality when the dominant group was removed reflect complex community dynamics and the presence of coexistence mechanisms that can dampen the ability of community members to respond to climate change.
Yenni, Glenda M., "Climate Change and Community Dynamics: A Hierarchical Bayesian Model of Resource-Driven Changes in a Desert Rodent Community" (2011). All Graduate Plan B and other Reports. Paper 21.
Copyright for this work is retained by the student.