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

被引:5
作者
Lee, Danbi [1 ]
Kim, Jin-Soo [2 ]
Park, So-Won [1 ]
Kug, Jong-Seong [1 ]
机构
[1] Pohang Univ Sci & Technol POSTECH, Div Environm Sci & Engn, Pohang, South Korea
[2] City Univ Hong Kong, Low Carbon & Climate Impact Res Ctr, Sch Energy & Environm, Hong Kong, Peoples R China
基金
新加坡国家研究基金会;
关键词
CARBON FLUXES; VARIABILITY; CLIMATE; VERSION; PHOTOSYNTHESIS; PRECIPITATION; SIMULATIONS; OSCILLATION; TRENDS; IMPACT;
D O I
10.1038/s41598-023-49763-1
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
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 CO2 fertilization effect and an underrated climate impact. For accurate prediction, it is necessary to improve the sensitivity of the GPP to changes in CO2 concentrations and the climate system.
引用
收藏
页数:11
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