Date of Submission

Spring 2016

Academic Programs and Concentrations

Biology

Project Advisor 1

Felicia Keesing

Project Advisor 2

Bruce Robertson

Abstract/Artist's Statement

Habitat fragmentation is an increasingly common problem within the field of ecosystem conservation. Through insularization, habitat loss, and edge effects, habitat fragmentation threatens biodiversity and increases the risk of local extinction. Wildlife corridors mitigate many of these threats by providing connectivity between larger fragments, or “islands.” Conservation efforts are often aimed at protecting these corridors, although it is not always possible to tell which corridors are in greater need of protection based on size and shape alone. Prioritizing corridors for conservation more often relies on direct examination of the species occupying them. Automated camera trap surveys are often used to collect population data, such as density and diversity, in order to assess wildlife corridor effectiveness. However, little standardization exists for examining multiple diverse taxa in a single survey. In this study, I investigated whether baiting camera traps to maximize detection frequency for carnivores and omnivores affects detection frequency for herbivores. I replicated camera trap surveys with and without bait throughout wildlife corridors and forest fragments within the Town of Red Hook, New York to examine how habitat type, bait status, and edge-to-area ratio affected estimations of species richness and relative density across 10 terrestrial vertebrate species. I found that while neither bait status nor habitat type affected observed population density of any species, corridors and non-baited traps reported higher species richness than islands and baited traps. Furthermore, I found that corridors showed higher sensitivity to seasonal changes than islands in terms of detection frequency. These results support that density and species richness are both important metrics for examining corridor health. They also highlight the importance of bait choice and seasonal effects in terms of future study design.

Access Agreement

On-Campus only

Creative Commons License

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

This work is protected by a Creative Commons license. Any use not permitted under that license is prohibited.

Bard Off-campus Download

Bard College faculty, staff, and students can login from off-campus by clicking on the Off-campus Download button and entering their Bard username and password.

COinS