Optimized Hot Spot and Directional Distribution Analyses Characterize the Spatiotemporal Variation of Large Wildfires in Washington, USA, 1970−2020

Author:

Zerbe Kevin,Polit Chris,McClain Stacey,Cook Tim

Abstract

AbstractSpatiotemporal analysis of fire activity is vital for determining why wildfires occur where they do, assessing wildfire risks, and developing locally relevant wildfire risk reduction strategies. Using various spatial statistical methods, we determined hot spots of large wildfires (> 100 acres) in Washington, the United States, and mapped spatiotemporal variations in large wildfire activity from 1970 to 2020. Our results found that all hot spots are located east of the crest of the Cascade Range. Our spatiotemporal analysis found that the geographic area wherein most of the state’s acres burned has shrunk considerably since 1970 and has become concentrated over the north-central portion of the state over time. This concentration of large wildfire activity in north-central Washington was previously unquantified and may provide important information for hazard mitigation efforts in that area. Our results highlight the advantages of using spatial statistical methods that could aid the development of natural hazard mitigation plans and risk reduction strategies by characterizing previous hazard occurrences spatially and spatiotemporally.

Publisher

Springer Science and Business Media LLC

Subject

Management, Monitoring, Policy and Law,Safety Research,Geography, Planning and Development,Global and Planetary Change

Reference48 articles.

1. Abatzoglou, J.T., C.A. Kolden, A.P. Williams, J.A. Lutz, and A.M. Smith. 2017. Climatic influences on interannual variability in regional burn severity across western US forests. International Journal of Wildland Fire 26: 269–275.

2. Agarwadkar, A.M., S. Azmi, and A.B. Inamdar. 2013. Understanding grids and effectiveness of hexagonal grid in spatial domain. In Proceedings of the International Conference on Recent Trends in Information Technology and Computer Science (ICRTITCS – 2012), 17–18 December 2012, Mumbai, India, 25–27.

3. Banusiewicz, J.D. 2014. Climate change can affect security environment, Hagel says. DOD News, 12 October 2014. https://www.defense.gov/Explore/News/Article/Article/603437/climate-change-can-affect-security-environment-hagel-says/. Accessed 21 Aug 2020.

4. Barros, A.M., A.A. Ager, M.A. Day, M.A. Krawchuk, and T.A. Spies. 2018. Wildfires managed for restoration enhance ecological resilience. Ecosphere 9(3): Article e02161.

5. Brogan, D.J., P.A. Nelson, and L.H. MacDonald. 2017. Reconstructing extreme post-wildfire floods: A comparison of convective and mesoscale events. Earth Surface Processes and Landforms 42(15): 2505–2522.

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