期刊论文

Yu, Guirui;Chen, Zhi

英文

Agricultural and Forest Meteorology

0168-1923

2020

280

107774

10.1016/j.agrformet.2019.107774

This study was supported by National Natural Science Foundation of China (No. 41671045 and 31600347) and National Key Research and Development Program of China (No. 2016YFA0600104 and 2016YFA0600103). We acknowledged all the researchers who contributed to the eddy covariance flux measurements and provided valuable data for this study. This study was based on eddy covariance data acquired and shared by the FLUXNET community, which included AmeriFlux, AfriFlux, AsiaFlux, CarboAfrica, CarboEuropeIP, CarboItaly, CarboMont, ChinaFlux, Fluxnet-Canada, GreenGrass, ICOS, KoFlux, LBA, NECC, OzFlux-TERN, TCOS-Siberia, and USCCC networks. The ERA-Interim reanalysis data were provided by ECMWF and processed by LSCE. The FLUXNET eddy covariance data processing and harmonization were carried out by the European Fluxes Database Cluster, AmeriFlux Management Project, and Fluxdata project of FLUXNET, with support from CDIAC and ICOS Ecosystem Thematic Center, and the OzFlux, ChinaFlux and AsiaFlux offices.

本校为其他机构

The seasonal dynamic of gross primary productivity (GPP) has influences on the annual GPP (AGPP) of the terrestrial ecosystem. However, the spatiotemporal variation of the seasonal dynamic of GPP and its effects on spatial and temporal variations of AGPP are still poorly addressed. In this study, we developed a parameter, alpha(GPP), defined as the ratio of mean daily GPP (GPP(mean)) to the maximum daily GPP (GPP(max)) during the growing season, to analyze the seasonal dynamic of GPP based on Weibull function. The alpha(GPP) was a comprehensive parameter characterizing the shape, scale, and lo...