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The statistical analysis of wildfire growth
Understanding and quantifying wildfire behavior is of interest to the scientific community, as well as public health and fire management professionals. To achieve this end, there is a demand for statistical descriptions of wildfire behavior and its relationship to the environment. However, wildfire behavior can be complex, ...
Wildfire disturbance shapes the physical and biological condition of Pacific Northwest stream ecosystems
Wildfire constitutes one of the most influential processes affecting watershed conditions across the Pacific Northwest. Although the patterns and impacts of wildfire are well-described for terrestrial ecosystems, a comprehensive understanding of wildfire effects in aquatic ecosystems is still being developed. The occurrence ...
Accounting for model uncertainties in statistical forecasts of wildfire parameters
Gauging the magnitude of model uncertainty and incorporating model uncertainty into predictions is of critical importance when models are used to inform wildfire-related decisions, where ignoring potential risks threaten human health, property, and the environment. Although techniques exist for addressing model uncertainty, ...
The Relationship Between Natural Environments and Subjective Well-being as Measured by Sentiment Expressed on Twitter
There is growing evidence that time spent in nature can affect well-being. Nonetheless, assessing this relationship can be difficult. We used social media data—1,971,045 geolocated tweets sent by 81,140 users from locations throughout Seattle, Washington, USA—to advance our understanding of the relationship between subjective ...
Group size affects predation risk and foraging success in Pacific salmon at sea
Grouping (schooling, flocking, herding) is broadly distributed across taxa and environments, and is particularly common in marine fishes. A rich body of theory outlines ways in which grouping can enhance individual fitness, especially by improved predator avoidance and foraging efficiency. However, such theories are difficult ...
Mechanistic Statistical Models of the Environment
Statistical models are often abstract in nature. However, in environmental contexts, data are often limited and important insight can be gained by applying knowledge of real-world mechanisms. In this dissertation, I present three mechanistic statistical models, applied to the environment. In my second chapter, I model the ...