Dynamic global vegetation models underestimate net CO2 flux mean and inter-annual variability in dryland ecosystems

Dynamic global vegetation models underestimate net CO2 flux mean and inter-annual variability in dryland ecosystems

Despite their sparse vegetation, dryland regions exert a huge influence over global biogeochemical cycles because they cover more than 40% of the world surface (Schimel 2010 Science 327 418–9). It is thought that drylands dominate the inter-annual variability (IAV) and long-term trend in the global...

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Bibliographic Details
Main Authors: Natasha MacBean, Russell L Scott, Joel A Biederman, Philippe Peylin, Thomas Kolb, Marcy E Litvak, Praveena Krishnan, Tilden P Meyers, Vivek K Arora, Vladislav Bastrikov, Daniel Goll, Danica L Lombardozzi, Julia E M S Nabel, Julia Pongratz, Stephen Sitch, Anthony P Walker, Sönke Zaehle, David J P Moore
Format: Article
Language:English
Published: IOP Publishing 2021-01-01
Series:Environmental Research Letters
Subjects:
Drylands
global carbon cycle
inter-annual variability
dynamic global vegetation models
Online Access:https://doi.org/10.1088/1748-9326/ac1a38

Internet

https://doi.org/10.1088/1748-9326/ac1a38

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