Modeling China's terrestrial ecosystem gross primary productivity with BEPS model: Parameter sensitivity analysis and model calibration

• Published in: Agricultural and forest meteorology Vol. 343; p. 109789
• Main Authors: Xing, Xiuli, Wu, Mousong, Zhang, Wenxin, Ju, Weimin, Tagesson, Torbern, He, Wei, Wang, Songhan, Wang, Jun, Hu, Lu, Yuan, Shu, Zhu, Tingting, Wang, Xiaorong, Ran, Youhua, Li, Sien, Wang, Chunyu, Jiang, Fei
• Format: Journal Article
• Language: English
• Published: 15.12.2023
• Subjects: carbon; carbon cycle; carbon dioxide; China; climate change; Climate Research; Climate Science; Earth and Related Environmental Sciences; ecological models; Ecosystem modeling; energy balance; forests; Geosciences, Multidisciplinary; Geovetenskap och miljövetenskap; Geovetenskap och relaterad miljövetenskap; Global sensitivity analysis; grasses; Gross primary productivity; Klimatforskning; Klimatvetenskap; meteorology; Multidisciplinary Geosciences; Multidisciplinär geovetenskap; Natural Sciences; Naturgeografi; Naturvetenskap; Physical Geography; plant available water; Satellite-data-driven; shrubs; terrestrial ecosystems; uncertainty; Uncertainty analysis; water uptake; China

Terrestrial ecosystems are the largest sink for carbon, and their ecosystem gross primary productivity (GPP) regulates variations in atmospheric carbon dioxide (CO₂) concentrations. Current process-based ecosystem models used for estimating GPP are subject to large uncertainties due to poorly constr...