Date of Award
Master of Science - Forestry
Dr. Yuhui Weng
Dr. Daniel Scognamillo
Dr. Jessica Glasscock
The goal of this thesis was to identify and analyze common characteristics that are shared by recovering species listed in the Endangered Species Act (ESA). NatureServe population data was used to determine which listed species were recovering, and a logistic regression analysis was performed to identify which aspects of the ESA most contribute to recovery. Of the 747 species tested, only 24% had a population that was stable or improving. Time listed and classification group were found to significantly influence recovery, and recovery plan presence and critical habitat designation also increase the odds of recovery. The analysis found no relationship between species recovery and average annual funding,and species listed as “threatened” were just as likely to be recovering as those listed as “endangered”.
Beggs, Kendall, "A Policy Analysis of the Endangered Species Act" (2022). Electronic Theses and Dissertations. 449.
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