The Coastal Observation and Seabird Survey Team (COASST) will be delivering a virtual training session for the residents of Alaska. AWA is a partner with COASST and supports their monitoring efforts through volunteer actions. COASST participants help make a difference for the environment by collecting data on beach-cast carcasses of marine birds on a monthly basis to establish the baseline pattern of beached bird mortality on North Pacific beaches. Through an interactive workshop held via Zoom, trainees will become acquainted with COASST survey protocols and have a chance to learn more about the seabirds that live in their area. The COASST training provides participants with the tools to monitor for potential changes in the marine environment and promote stewardship of local marine resources.
COASST is a citizen science project of the University of Washington in partnership with state, tribal, and federal agencies, environmental organizations, and community groups. COASST believes citizens of coastal communities are essential scientific partners in monitoring marine ecosystem health. By collaborating with citizens, natural resource management agencies and environmental organizations, COASST works to translate long-term monitoring into effective marine conservation solutions. Currently, nearly 1000 participants survey beaches in Washington, Oregon, California, and Alaska.
The training session will be held at online via Zoom; attendees will need a computer or mobile device with a strong internet connection to stream a Zoom Webinar, with audio and/or video streaming capabilities. Participants need NO prior experience with scientific data collection, just a commitment to survey a specific beach at least once a month.
Reserve your training spot by registering in advance at this link.
Learn more by calling COASST at 206-221-6893, emailing coasst@uw.edu, or visiting our website at coasst.org.
University of Washington
School of Aquatic & Fishery Sciences
Box 355020
Seattle, WA 98195
Phone: 206-221-6893
Email: coasst@uw.edu
