Quantifying the drivers and predictability of seasonal changes in African fire

Fire is an important component of many African ecosystems, but prediction of fire activity is challenging. Here, the authors use a statistical framework to assess the seasonal environmental drivers of African fire, which allow for a better prediction of fire activity.

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Autores principales:	Yan Yu, Jiafu Mao, Peter E. Thornton, Michael Notaro, Stan D. Wullschleger, Xiaoying Shi, Forrest M. Hoffman, Yaoping Wang
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2020
Materias:	Science Q
Acceso en línea:	https://doaj.org/article/7cb940dfe6ea4c6aa7e90c7ce1746e0c
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spelling	oai:doaj.org-article:7cb940dfe6ea4c6aa7e90c7ce1746e0c2021-12-02T17:30:39ZQuantifying the drivers and predictability of seasonal changes in African fire10.1038/s41467-020-16692-w2041-1723https://doaj.org/article/7cb940dfe6ea4c6aa7e90c7ce1746e0c2020-06-01T00:00:00Zhttps://doi.org/10.1038/s41467-020-16692-whttps://doaj.org/toc/2041-1723Fire is an important component of many African ecosystems, but prediction of fire activity is challenging. Here, the authors use a statistical framework to assess the seasonal environmental drivers of African fire, which allow for a better prediction of fire activity.Yan YuJiafu MaoPeter E. ThorntonMichael NotaroStan D. WullschlegerXiaoying ShiForrest M. HoffmanYaoping WangNature PortfolioarticleScienceQENNature Communications, Vol 11, Iss 1, Pp 1-8 (2020)
institution	DOAJ
collection	DOAJ
language	EN
topic	Science Q
spellingShingle	Science Q Yan Yu Jiafu Mao Peter E. Thornton Michael Notaro Stan D. Wullschleger Xiaoying Shi Forrest M. Hoffman Yaoping Wang Quantifying the drivers and predictability of seasonal changes in African fire
description	Fire is an important component of many African ecosystems, but prediction of fire activity is challenging. Here, the authors use a statistical framework to assess the seasonal environmental drivers of African fire, which allow for a better prediction of fire activity.
format	article
author	Yan Yu Jiafu Mao Peter E. Thornton Michael Notaro Stan D. Wullschleger Xiaoying Shi Forrest M. Hoffman Yaoping Wang
author_facet	Yan Yu Jiafu Mao Peter E. Thornton Michael Notaro Stan D. Wullschleger Xiaoying Shi Forrest M. Hoffman Yaoping Wang
author_sort	Yan Yu
title	Quantifying the drivers and predictability of seasonal changes in African fire
title_short	Quantifying the drivers and predictability of seasonal changes in African fire
title_full	Quantifying the drivers and predictability of seasonal changes in African fire
title_fullStr	Quantifying the drivers and predictability of seasonal changes in African fire
title_full_unstemmed	Quantifying the drivers and predictability of seasonal changes in African fire
title_sort	quantifying the drivers and predictability of seasonal changes in african fire
publisher	Nature Portfolio
publishDate	2020
url	https://doaj.org/article/7cb940dfe6ea4c6aa7e90c7ce1746e0c
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Quantifying the drivers and predictability of seasonal changes in African fire

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