Detecting critical nodes in forest landscape networks to reduce wildfire spread.

Although wildfires are an important ecological process in forested regions worldwide, they can cause significant economic damage and frequently create widespread health impacts. We propose a network optimization approach to plan wildfire fuel treatments that minimize the risk of fire spread in fores...

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Autores principales:	Denys Yemshanov, Ning Liu, Daniel K Thompson, Marc-André Parisien, Quinn E Barber, Frank H Koch, Jonathan Reimer
Formato:	article
Lenguaje:	EN
Publicado:	Public Library of Science (PLoS) 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/45aa1953c8834a2681ba918e915ac40f
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id	oai:doaj.org-article:45aa1953c8834a2681ba918e915ac40f
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spelling	oai:doaj.org-article:45aa1953c8834a2681ba918e915ac40f2021-12-02T20:17:11ZDetecting critical nodes in forest landscape networks to reduce wildfire spread.1932-620310.1371/journal.pone.0258060https://doaj.org/article/45aa1953c8834a2681ba918e915ac40f2021-01-01T00:00:00Zhttps://doi.org/10.1371/journal.pone.0258060https://doaj.org/toc/1932-6203Although wildfires are an important ecological process in forested regions worldwide, they can cause significant economic damage and frequently create widespread health impacts. We propose a network optimization approach to plan wildfire fuel treatments that minimize the risk of fire spread in forested landscapes under an upper bound for total treated area. We used simulation modeling to estimate the probability of fire spread between pairs of forest sites and formulated a modified Critical Node Detection (CND) model that uses these estimated probabilities to find a pattern of fuel reduction treatments that minimizes the likely spread of fires across a landscape. We also present a problem formulation that includes control of the size and spatial contiguity of fuel treatments. We demonstrate the approach with a case study in Kootenay National Park, British Columbia, Canada, where we investigated prescribed burn options for reducing the risk of wildfire spread in the park area. Our results provide new insights into cost-effective planning to mitigate wildfire risk in forest landscapes. The approach should be applicable to other ecosystems with frequent wildfires.Denys YemshanovNing LiuDaniel K ThompsonMarc-André ParisienQuinn E BarberFrank H KochJonathan ReimerPublic Library of Science (PLoS)articleMedicineRScienceQENPLoS ONE, Vol 16, Iss 10, p e0258060 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Denys Yemshanov Ning Liu Daniel K Thompson Marc-André Parisien Quinn E Barber Frank H Koch Jonathan Reimer Detecting critical nodes in forest landscape networks to reduce wildfire spread.
description	Although wildfires are an important ecological process in forested regions worldwide, they can cause significant economic damage and frequently create widespread health impacts. We propose a network optimization approach to plan wildfire fuel treatments that minimize the risk of fire spread in forested landscapes under an upper bound for total treated area. We used simulation modeling to estimate the probability of fire spread between pairs of forest sites and formulated a modified Critical Node Detection (CND) model that uses these estimated probabilities to find a pattern of fuel reduction treatments that minimizes the likely spread of fires across a landscape. We also present a problem formulation that includes control of the size and spatial contiguity of fuel treatments. We demonstrate the approach with a case study in Kootenay National Park, British Columbia, Canada, where we investigated prescribed burn options for reducing the risk of wildfire spread in the park area. Our results provide new insights into cost-effective planning to mitigate wildfire risk in forest landscapes. The approach should be applicable to other ecosystems with frequent wildfires.
format	article
author	Denys Yemshanov Ning Liu Daniel K Thompson Marc-André Parisien Quinn E Barber Frank H Koch Jonathan Reimer
author_facet	Denys Yemshanov Ning Liu Daniel K Thompson Marc-André Parisien Quinn E Barber Frank H Koch Jonathan Reimer
author_sort	Denys Yemshanov
title	Detecting critical nodes in forest landscape networks to reduce wildfire spread.
title_short	Detecting critical nodes in forest landscape networks to reduce wildfire spread.
title_full	Detecting critical nodes in forest landscape networks to reduce wildfire spread.
title_fullStr	Detecting critical nodes in forest landscape networks to reduce wildfire spread.
title_full_unstemmed	Detecting critical nodes in forest landscape networks to reduce wildfire spread.
title_sort	detecting critical nodes in forest landscape networks to reduce wildfire spread.
publisher	Public Library of Science (PLoS)
publishDate	2021
url	https://doaj.org/article/45aa1953c8834a2681ba918e915ac40f
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Detecting critical nodes in forest landscape networks to reduce wildfire spread.

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