The initial matter and energy entering terrestrial
ecosystem are determined by the gross primary productivity (GPP).Hovexer,the GPP measurements acquired by the MODIS
[WTBX]GPP[WTBZ] products are not sufficient to accurately reflect the
distribution of ecosystem matter and energy in the Heihe River Basin in Qinghai
Province,Gansu Province and Inner Mongolia,China with complex surface coverage.Therefore,based
on MODIS image data,ASTER GDEM data,land cover data with a spatial resolution
of 30 m,and the China Meteorological Forcing Dataset,the VPM model was derived
to simulate the gross primary productivity of the Heihe River Basin from May to
October 2015 with a spatial resolution of 500 m and a temporal resolution of 8
days.Based on simulations using the VPM model,the spatial and temporal patterns
of GPP in the Heihe River Basin
during the growing season were determined．The results of the study
indicate that the accuracy of the results estimated using the VPM model was
higher than that of the MODIS GPP products.The judgment coefficient increased by 45.5%,while the total root mean
square error reduced by 57.0%.The study results also demonstrate that the GPP accumulation during the growing
season in the Heihe River Basin exhibited a significant spatial distribution
gradient pattern,which can be described as the highest in the middle
reaches,the next highest in the upper reaches,and the lowest in the lower
reaches.In addition,the daily GPP of
the whole and partial vegetation-covered
areas in the Heihe River Basin first increased and then decreased in an
inverted U-shape.The daily GPP values of all vegetationcovered areas reached the
maximum in late July.The daily GPP values of those ground areas with very low vegetation coverage fluctuated up
and down in their basic stability,while the stable value was approximately 1 gC·m-1·d-1.
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