Global ecosystems and fire: Multi-model assessment of fire-induced tree-cover and carbon storage reduction.
global fire modelling
terrestrial carbon cycle
vegetation modelling
wildfires
Journal
Global change biology
ISSN: 1365-2486
Titre abrégé: Glob Chang Biol
Pays: England
ID NLM: 9888746
Informations de publication
Date de publication:
Sep 2020
Sep 2020
Historique:
received:
12
11
2019
accepted:
28
04
2020
pubmed:
15
5
2020
medline:
30
1
2021
entrez:
15
5
2020
Statut:
ppublish
Résumé
In this study, we use simulations from seven global vegetation models to provide the first multi-model estimate of fire impacts on global tree cover and the carbon cycle under current climate and anthropogenic land use conditions, averaged for the years 2001-2012. Fire globally reduces the tree covered area and vegetation carbon storage by 10%. Regionally, the effects are much stronger, up to 20% for certain latitudinal bands, and 17% in savanna regions. Global fire effects on total carbon storage and carbon turnover times are lower with the effect on gross primary productivity (GPP) close to 0. We find the strongest impacts of fire in savanna regions. Climatic conditions in regions with the highest burned area differ from regions with highest absolute fire impact, which are characterized by higher precipitation. Our estimates of fire-induced vegetation change are lower than previous studies. We attribute these differences to different definitions of vegetation change and effects of anthropogenic land use, which were not considered in previous studies and decreases the impact of fire on tree cover. Accounting for fires significantly improves the spatial patterns of simulated tree cover, which demonstrates the need to represent fire in dynamic vegetation models. Based upon comparisons between models and observations, process understanding and representation in models, we assess a higher confidence in the fire impact on tree cover and vegetation carbon compared to GPP, total carbon storage and turnover times. We have higher confidence in the spatial patterns compared to the global totals of the simulated fire impact. As we used an ensemble of state-of-the-art fire models, including effects of land use and the ensemble median or mean compares better to observational datasets than any individual model, we consider the here presented results to be the current best estimate of global fire effects on ecosystems.
Substances chimiques
Carbon
7440-44-0
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
5027-5041Subventions
Organisme : National Natural Science Foundation of China
ID : 41475099
Organisme : National Natural Science Foundation of China
ID : 41875137
Organisme : Deutsche Forschungsgemeinschaft
ID : 338130981
Organisme : Deutsche Forschungsgemeinschaft
ID : SCHE 1719/2-1
Organisme : Newton Fund
Organisme : Helmholtz Association
Organisme : H2020 European Research Council
ID : 694481
Informations de copyright
© 2020 The Authors. Global Change Biology published by John Wiley & Sons Ltd.
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