An abrupt shift in gross primary productivity over Eastern China-Mongolia and its inter-model diversity in land surface models

• Published in: Scientific reports Vol. 13; no. 1; p. 22971
• Main Authors: Lee, Danbi, Kim, Jin-Soo, Park, So-Won, Kug, Jong-Seong
• Format: Journal Article
• Language: English
• Published: London Nature Publishing Group UK 27.12.2023; Nature Publishing Group; Nature Portfolio
• Subjects: 704/106/47; 704/106/694; Arid zones; Carbon dioxide; Climate change; Climate prediction; Climate system; Fertilization; Humanities and Social Sciences; multidisciplinary; Science; Science (multidisciplinary); Semiarid lands; East Asia; Mongolia; China
• ISSN: 2045-2322; 2045-2322
• DOI: 10.1038/s41598-023-49763-1

The terrestrial ecosystem in East Asia mainly consists of semi-arid regions that are sensitive to climate change. Therefore, gross primary productivity (GPP) in East Asia could be highly variable and vulnerable to climate change, which can significantly affect the local carbon budget. Here, we examine the spatial and temporal characteristics of GPP variability in East Asia and its relationship with climate factors over the last three decades. We detect an abrupt decrease in GPP over Eastern China-Mongolia region around the year 2000. This is attributed to an abrupt decrease in precipitation associated with the phase shift of the Pacific decadal oscillation (PDO). We also evaluate the reproducibility of offline land surface models to simulate these abrupt changes. Of the twelve models, eight were able to simulate this abrupt response, while the others failed due to the combination of an exaggerated CO 2 fertilization effect and an underrated climate impact. For accurate prediction, it is necessary to improve the sensitivity of the GPP to changes in CO 2 concentrations and the climate system.