Date of Award


Degree Type


Degree Name

Master of Science - Forestry



First Advisor

Dr. Yuhui Weng

Second Advisor

Dr. Daniel Scognamillo

Third Advisor

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”.

Creative Commons License

Creative Commons License
This work is licensed under a Creative Commons Attribution-Noncommercial-No Derivative Works 4.0 License.



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