Probabilistic models for decision support under climate change

Provides an example of how to bring the flood of data and information on climate change together to prioritize conservation and management, using an example of a model for Bull trout in the Boise River basin.

Presenter

Douglas Peterson

Contributors

Producer - Michael Furniss
Videography - Freshwaters Illustrated
Technical production - Jeffrey Guntle

Video Length

20:09

Publication Date

02/28/2011

You should gain an understanding of:

A prototype for using Bayesian networks to integrate data and assess climate change impacts.

The value of using these frameworks as a process for collaboration, collecting information, and confronting any potential assumptions about a system.