Work

A conceptual model for site-level ecology of the giant gartersnake (Thamnophis gigas) in the Sacramento Valley, California

Year: 2015

Type: report

Abstract: causes, so that data can inform the states of nodes (values of different random variables) in either direction (Marcot and others, 2001; Uusitalo, 2007).Because they can incorporate both decision nodes that represent management actions and utility nodes that quantify the costs and benefits of outcomes, Bayesian networks are ideally suited to risk analysis and adaptive management (Nyberg and others, 2006; Howes and others, 2010).Thus, Bayesian network models are useful in situations where empirical data are not available, such as questions concerning the responses of giant gartersnakes to management.

Source: Antarctica A Keystone in a Changing World

DOI: 10.3133/ofr20151152

Authors: Brian J. Halstead, Glenn D. Wylie, Michael L. Casazza, Eric C. Hansen, Rick D. Scherer, Laura C. Patterson

Institutions: United States Geological Survey, Colorado State University, California Department of Fish and Wildlife

Language: English

Topic: Amphibian and Reptile Biology

Subfield: Global and Planetary Change

Field: Environmental Science

Domain: Physical Sciences

SDG: Life on land

Open Access status: bronze

Funders: U.S. Fish and Wildlife Service, U.S. Geological Survey