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Model uncertainty obscures major driver of soil carbon/Reply

Tao et al.1 applied a linear mixed-effects model to this dataset that included CUE, mean annual temperature (MAT), soil depth and random effects and explained 55% of the variation in the log-transformed SOC (Fig. 2a and Extended Data Table 1 in Tao et al.1). To address uncertainties in model structu...

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Published in:Nature (London) 2024-03, Vol.627 (8002), p.E1-E6
Main Authors: He, Xianjin, Abramoff, Rose Z, Abs, Elsa, Georgiou, Katerina, Zhang, Haicheng, Goll, Daniel S, Tao, Feng, Houlton, Benjamin Z, Frey, Serita D, Lehmann, Johannes, Manzoni, Stefano, Huang, Yuanyuan, Jiang, Lifen, Mishra, Umakant, Hungate, Bruce A, Schmidt, Michael W I, Reichstein, Markus, Carvalhais, Nuno, Ciais, Philippe, Wang, Ying-Ping, Ahrens, Bernhard, Hugelius, Gustaf, Hocking, Toby D, Lu, Xingjie, Shi, Zheng, Viatkin, Kostiantyn, Vargas, Ronald, Yigini, Yusuf, Omuto, Christian, Malik, Ashish A, Peralta, Guillermo, Cuevas-Corona, Rosa, Di Paolo, Luciano E, Luotto, Isabel, Liao, Cuijuan, Liang, Yi-Shuang, Saynes, Vinisa S, Huang, Xiaomeng, Luo, Yiqi
Format: Article
Language:English
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Summary:Tao et al.1 applied a linear mixed-effects model to this dataset that included CUE, mean annual temperature (MAT), soil depth and random effects and explained 55% of the variation in the log-transformed SOC (Fig. 2a and Extended Data Table 1 in Tao et al.1). To address uncertainties in model structure and parameters that impede robust model predictions, the authors used a comprehensive model-data-assimilation approach to calibrate a selection of 23 parameters of a SOC model based on a global dataset of SOC measurements. [...]Tao et al.1 approximated C inputs to the soil using NPP from predictions of a land surface model. [...]future research efforts should be allocated towards investigating several mechanisms of SOC stabilization and loss, rather than solely focusing on CUE.
ISSN:0028-0836
1476-4687
DOI:10.1038/s41586-023-06999-1