Effective ecosystem conservation and management hinges upon an accurate knowledge of ecological process and spatial pattern to address emerging questions related to system change under intensifying anthropogenic threats, climate change, and shifting disturbance regimes. My research focuses on examining the distribution patterns and interactions of organisms with their environment at multiple spatial scales. I focus on avian and forest systems. A clear understanding of these mechanisms in turn support the scaling up of observations to broad spatial extents to help prioritize management focus. I utilize advanced remote sensing technologies and approaches to characterize and model habitat features across the landscape. The ability to effectively explain ecological processes depends highly on accurately representing ecological patterns. My work integrates field observation, quantitative modeling, and spatial analyses, often linking principles of Landscape Ecology with Community Ecology and Remote Sensing. While my research is driven heavily by application, the key to generalization is identifying mechanisms responsible for determining spatial patterns. I continue to focus on quantifying avian and forest communities to understand interdependencies of ecological systems and inform forest bird conservation. This work occupies three fronts:
- Correspondence between avian and woody plant assemblages
- Remote sensing of forest properties
- Fine-scale distribution modeling of birds and woody plants
My post-doctoral research includes the quantification of continuous coverage of woody plant assemblages across 17 counties in southeastern Ohio, utilizing the synchrony of optical imagery (Landsat), terrain variables, and field plot data. Risks and opportunities regarding forest management under a changing climate will be evaluated for inventoried and non-inventoried individual forest stands in several state forests and the Wayne National forest. I expect to provide novels tools to explore potential change to forest communities across the Central Hardwoods Forest Region in the coming decades.
Adams, B. T., and S. N. Matthews. 2018. Enhancing forest and shrubland mapping in a managed forest landscape with Landsat-LiDAR data fusion. Natural Areas Journal. In press.
ENR 8600- Introduction to R for Environmental Sciences (Autumn 2018)
ENR 2000- Natural Resources Data Analysis (Autumn 2018)
ENR 8780- Quantitative Methods for Environment and Natural Resources (taught in Spring 2018)