Uncertainties of gross primary productivity of Chinese grasslands based on multi-source estimation

Uncertainties of gross primary productivity of Chinese grasslands based on multi-source estimation

Gross primary productivity (GPP) is an important parameter in the carbon cycle and climate change studies. The results of GPP fluxes estimated based on multiple models or remote sensing vary widely, but current studies of GPP in Chinese grasslands tend to ignore data uncertainty. In this study, unce...

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Bibliographic Details
Main Authors: Panxing He, Xiaoliang Ma, Zhiming Han, Xiaoyu Meng, Zongjiu Sun
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-09-01
Series:Frontiers in Environmental Science
Subjects:
gross primary productivity
uncertainty
Chinese grasslands
MsTIMP
ISIMIP
Online Access:https://www.frontiersin.org/articles/10.3389/fenvs.2022.928351/full

Internet

https://www.frontiersin.org/articles/10.3389/fenvs.2022.928351/full

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