Evaluation of Bayesian Networks for Predicting Spawning Habitat Quality of Chinook Salmon in Data-Poor Watersheds-Reference-Cited by-同舟云学术

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Evaluation of Bayesian Networks for Predicting Spawning Habitat Quality of Chinook Salmon in Data-Poor Watersheds

Published:2017-01-02 Issue:1 Volume:37 Page:176-188
ISSN:0275-5947
Container-title:North American Journal of Fisheries Management
language:en
Short-container-title:North American Journal of Fisheries Management

Author:

Brumbaugh Steven M.¹,Coleman Ronald¹

Affiliation:

1. California State University, Sacramento, 6000 J Street, Sacramento, California 95819, USA

Publisher

Wiley

Subject

Management, Monitoring, Policy and Law,Ecology,Aquatic Science,Ecology, Evolution, Behavior and Systematics

Reference46 articles.

1. Using Bayesian networks to model watershed management decisions: an East Canyon Creek case study

2. Modeling Chinook Salmon with SALMOD on the Sacramento River, California

3. A Bayesian network of eutrophication models for synthesis, prediction, and uncertainty analysis

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Process-based model of fish incubation survival for designing reservoir operations: a case study for Sacramento River winter-run Chinook salmon;2020-08-27

2. Expert opinion on the status and stressors of brook trout, Salvelinus fontinalis , in Ontario;Fisheries Management and Ecology;2019-07-31

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