Submitted by Steven R. BEISS... on

Project Description: 

There are little data on the occurrence and distribution of birds in the small wetlands that are found throughout the Sierra Nevada foothills.  For the past two years, members of the Beissinger lab have been placing automated recording units (ARUs) in wetlands and recording bird vocalizations at dawn at 100 sites.  These recordings form the basis for determining which bird species inhabit these sites and what site characteristics are associated with occurrence.

Vocalizations in these recordings can be identified to species using classifiers and machine learning that is facilitated by commercial software.

We are looking for an undergraduate to work with us in this task analyse the recordings from the ARUs.

Department: 
ESPM
Undergraduate's Role: 

The student will work closely with a Ph.D. student to construct vocal classifiers and  use them to analyze hundreds of hours of ARU recordings to determine species diversity and occurrence of wetland birds.

Undergraduate's Qualifications: 

Interest in ornithology.   Ability to identify songbirds a plus.  

Location: 
On Campus
Hours: 
6-9 hours