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Global ecosystems and fire: Multi‐model assessment of fire‐induced tree‐cover and carbon storage reduction

Lasslop, Gitta; Hantson, Stijn; Harrison, Sandy P.; Bachelet, Dominique; Burton, Chantelle; Forkel, Matthias; Forrest, Matthew; Li, Fang; Melton, Joe R.; Yue, Chao; Archibald, Sally; Scheiter, Simon; Arneth, Almut; Hickler, Thomas; Sitch, Stephen

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. ... mehr

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Verlagsausgabe §
DOI: 10.5445/IR/1000122223
Veröffentlicht am 28.07.2020
Cover der Publikation
Zugehörige Institution(en) am KIT Institut für Meteorologie und Klimaforschung - Atmosphärische Umweltforschung (IMK-IFU)
Publikationstyp Zeitschriftenaufsatz
Publikationsjahr 2020
Sprache Englisch
Identifikator ISSN: 1354-1013, 1365-2486
KITopen-ID: 1000122223
Erschienen in Global change biology
Seiten gcb.15160
Vorab online veröffentlicht am 14.05.2020
Schlagwörter global fire modelling, terrestrial carbon cycle, vegetation modelling, wildfires
Nachgewiesen in Scopus
Web of Science
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