Causal Bayesian networks in assessments of wildfire risks: Opportunities for ecological risk assessment and management-Reference-Cited by-同舟云学术

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Causal Bayesian networks in assessments of wildfire risks: Opportunities for ecological risk assessment and management

Published:2021-06-08 Issue:6 Volume:17 Page:1168-1178
ISSN:1551-3777
Container-title:Integrated Environmental Assessment and Management
language:en
Short-container-title:Integr Environ Assess Manag

Author:

Carriger John F.¹^ORCID,Thompson Matthew²,Barron Mace G.³

Affiliation:

1. Office of Research and Development US Environmental Protection Agency Cincinnati Ohio USA

2. Human Dimensions Program USDA Forest Service Fort Collins Colorado USA

3. Office of Research and Development US Environmental Protection Agency Gulf Breeze Florida USA

Publisher

Wiley

Subject

General Environmental Science,General Medicine,Geography, Planning and Development

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/ieam.4443

Reference111 articles.

1. A comparison of statistical downscaling methods suited for wildfire applications

2. Impact of anthropogenic climate change on wildfire across western US forests

3. Modeling wildfire risk to northern spotted owl (Strix occidentalis caurina) habitat in Central Oregon, USA

4. A comparison of landscape fuel treatment strategies to mitigate wildland fire risk in the urban interface and preserve old forest structure

5. Predicting Wildfires

Cited by 6 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. Wildfire Risk Assessment for Strategic Forest Management in the Southern United States: A Bayesian Network Modeling Approach;Land;2023-12-16

2. Avoided wildfire impact modeling with counterfactual probabilistic analysis;Frontiers in Forests and Global Change;2023-11-08

3. Building wildland–urban interface zone resilience through performance-based wildfire engineering. A holistic theoretical framework;Euro-Mediterranean Journal for Environmental Integration;2023-07-10

4. Toward ecological environmental risk for spoil ground group management in mega projects;Engineering, Construction and Architectural Management;2023-05-19

5. Applying Bayesian Models to Reduce Computational Requirements of Wildfire Sensitivity Analyses;Atmosphere;2023-03-15

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