期刊
REMOTE SENSING
卷 6, 期 9, 页码 8945-8965出版社
MDPI
DOI: 10.3390/rs6098945
关键词
gross primary production (GPP); light use efficiency (LUE); CASA; CFix; CFlux; EC-LUE; MODIS; VPM; VPRM
类别
资金
- National Science Foundation for Excellent Young Scholars of China [41322005]
- National High Technology Research and Development Program of China (863 Program) [2013AA122003]
- National Natural Science Foundation of China [41201078]
- Program for New Century Excellent Talents in University [NCET-12-0060]
- Fundamental Research Funds for the Central Universities
Terrestrial gross primary production (GPP) is the largest global CO2 flux and determines other ecosystem carbon cycle variables. Light use efficiency (LUE) models may have the most potential to adequately address the spatial and temporal dynamics of GPP, but recent studies have shown large model differences in GPP simulations. In this study, we investigated the GPP differences in the spatial and temporal patterns derived from seven widely used LUE models at the global scale. The result shows that the global annual GPP estimates over the period 2000-2010 varied from 95.10 to 139.71 Pg C.yr(-1) among models. The spatial and temporal variation of global GPP differs substantially between models, due to different model structures and dominant environmental drivers. In almost all models, water availability dominates the interannual variability of GPP over large vegetated areas. Solar radiation and air temperature are not the primary controlling factors for interannual variability of global GPP estimates for most models. The disagreement among the current LUE models highlights the need for further model improvement to quantify the global carbon cycle.
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