气候变化领域集成服务门户(CCPortal): The effects of spatiotemporal patterns of atmospheric CO2 concentration on terrestrial gross primary productivity estimation

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DOI	10.1007/s10584-020-02903-2
	The effects of spatiotemporal patterns of atmospheric CO2 concentration on terrestrial gross primary productivity estimation
	Sun Z.; Wang X.; Yamamoto H.; Tani H.; Nie T.
发表日期	2020
ISSN	0165-0009
英文摘要	A quantitative understanding of the global gross primary productivity (GPP) and its responses to increasing CO2 levels is critical for quantifying the feedbacks of ecosystems to climate change. This study applied the daily boreal ecosystem productivity simulator (BEPSd) model to estimate the global GPP from 2000 to 2015, compare the estimated GPP with flux tower measurements and other GPP products to verify the estimation accuracy, and analyze the CO2 fertilization effect and conducted a spatial analysis of the effects of the spatiotemporal distribution of the CO2 concentration on the estimation of the GPP. The results showed that the estimates could capture the magnitude, amplitude, distribution, and variation in the GPP well compared with the flux tower measurements and other GPP products. In general, the terrestrial GPP increased as the atmospheric CO2 concentrations increased; however, the CO2 fertilization effect varied based on time and location and was constrained by climatic conditions. The increases in the lower latitudes were more significant than those in the middle and higher latitudes, and seasonal variation characteristics were observed in the middle and higher latitudes. Not considering the CO2 fertilization effect could underestimate the global GPP and its trend, while not considering the spatiotemporal distribution of the CO2 concentration could overestimate the global annual GPP. These results increase our understanding of the variations in carbon flux under future climate change, especially under the conditions of a changing atmospheric CO2 concentration. © 2020, Springer Nature B.V.
英文关键词	Atmospheric CO2 concentration; Daily boreal ecosystem productivity simulator (BEPSd); Global spatiotemporal variability; Gross primary productivity (GPP)
语种	英语
scopus关键词	Carbon dioxide; Ecosystems; Photosynthesis; Phytoplankton; Spatial distribution; Boreal ecosystem productivity simulators (BEPS); Climatic conditions; CO2 concentration; Gross primary productivity; Seasonal variation; Spatial analysis; Spatiotemporal distributions; Spatiotemporal patterns; Climate change
来源期刊	Climatic Change
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/147260
作者单位	College of Ecology and Environment, Hainan University, Haikou, 570228, China; Graduate School of Agriculture, Hokkaido University, Kita-9 Nishi-9 Kita-Ku, Sapporo, 060-8589, Japan; Research Faculty of Agriculture, Hokkaido University, Kita-9 Nishi-9 Kita-Ku, Sapporo, 060-8589, Japan; Faculty of Agriculture, Yamaguchi University, Yoshida 1677-1, Yamaguchi, 753-8515, Japan; School of Water Conservancy and Civil Engineering, Northeast Agricultural University, Harbin, 150030, China
推荐引用方式 GB/T 7714	Sun Z.,Wang X.,Yamamoto H.,et al. The effects of spatiotemporal patterns of atmospheric CO2 concentration on terrestrial gross primary productivity estimation[J],2020.
APA	Sun Z.,Wang X.,Yamamoto H.,Tani H.,&Nie T..(2020).The effects of spatiotemporal patterns of atmospheric CO2 concentration on terrestrial gross primary productivity estimation.Climatic Change.
MLA	Sun Z.,et al."The effects of spatiotemporal patterns of atmospheric CO2 concentration on terrestrial gross primary productivity estimation".Climatic Change (2020).