980 Ninth Street
Dr. Landis will discuss:
•The importance and application of Bayesian networks to relative risk models that describe interactions between data, modeling, risk estimation, and adaptive management
•Examples that demonstrate the usage of Bayesian network-relative risk models from forest and fisheries management (e.g. understanding the spread of whirling disease and interaction of water quality to Chinook salmon decline)
•Linkages to managing the upper San Francisco EstuaryFeedback from the audience will be sought on decision-making endpoints to use and regulated stressors.
Free and open to the public, no RSVP required. Access the webcast. (Password: Landis) Questions? Contact Yumiko.Henneberry@deltacouncil.ca.gov.