Impacts of Environmental Variables on Deer Mouse Survival in the Southwestern United States
Year: 2020
Type: dissertation
Abstract: North American deer mice (Peromyscus maniculatus) are the primary reservoir for Sin Nombre orthohantavirus, and they play a significant role in the maintenance and transmission of disease across the landscape. Vital rates, such as survival, are a key component to understanding how disease spreads in a population. Understanding environmental factors that influence survival may allow for development of a predictive model that can assess disease risk in deer mice and, thus, a corresponding increased disease risk for humans. Our work explored the relationship between deer mouse survival and environmental variables at three long-term small mammal trapping sites in the United States Southwest. Using Bayesian variable selection, we assessed support for normalized difference vegetation index, precipitation, temperature minima and maxima, and snow-water equivalent at various time lags. From the selection process we formulated a robust-design capture-mark-recapture model in a Bayesian framework to quantify the effect of the selected variables on deer mouse survival. We found that survival varied by location and no one set of variables best explained survival across all sites. Consistencies between sites indicate that survival of deer mice follows a seasonal trend and does not vary by sex. Some of our results contrast previous work focused on use of environmental variables to predict deer mouse abundance and did not provide a consistent finding around which to formulate a predictive model. Future modeling efforts should focus on assessing both survival and reproduction as well as consideration of a more place-specific approach that includes additional variables that influence survival in different ecological contexts.
Source: The Mathematics Enthusiast
Author: Emily C. Weidner
Language: English
Subfield: Ecology
Field: Environmental Science
Domain: Physical Sciences
SDG: Life on land
Open Access status: green
OpenAlex ID: W3085819243
