Nicole Pauley Thesis Defense

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Date
04/02/2020 2:00 pm

Description

MS student Nicole Pauley will defend her thesis, titled "Assessing Functional Diversity of a Managed Forest-Savanna Landscape Using Remote Sensing Techniques", via Zoom:

Time: Apr 2, 2020 02:00 PM Central Time (US and Canada)

Join Zoom Meeting  https://zoom.us/j/662119582?pwd=MEZqTGxYVG1GMXhpMWYwYTluMFpWUT09

Meeting ID: 662 119 582     Password: 016808

All OSU faculty, staff, and students are welcome to attend the presentation and discussion of the proposal (including asking questions), but will be dismissed prior to committee deliberations.

Abstract: Global biodiversity loss and changing disturbance patterns are having significant effects on the composition, function, and productivity of biological communities. Functional diversity, a multifaceted trait-based component of biodiversity, is emerging as an effective metric of community function, resilience, and response to environmental change. Remote sensing techniques can be used to measure the biochemical, physiological, and morphological traits of plants and assess functional diversity across a landscape. In this study, I demonstrated the use of multispectral imagery and light detection and ranging (LiDAR) to determine relationships between physiological and morphological functional diversity and forest management implemented at Pushmataha Forest Habitat Research Demonstration Area (FHRA). Indices of vegetation physiology and morphology were affected by forest management, including combinations of prescribed fire, selective thinning, and pine timber harvest, while the effects of management on metrics of functional diversity were less defined. Morphological functional evenness and divergence differed between treatments, and fire return interval was determined to play a key role in vegetation community structure and functional diversity. By expanding the methodology to assess metrics of functional diversity across the larger forest-savanna landscape of Pushmataha Wildlife Management Area, I examined the scale dependency of functional diversity metrics and demonstrated the potential for using multispectral imagery from satellite platforms to fill gaps in global functional diversity knowledge.