CollectHomepage AdvertisementContact usMessage

Arid Land Geography ›› 2020, Vol. 43 ›› Issue (2): 440-448.doi: 10.12118/j.issn.1000-6060.2020.02.18

Previous Articles     Next Articles

Estimating gross primary production in the Heihe River Basin from multiple data sources

TONG Zhi-hui1,XIONG Zhu-guo1,SUN Rui2,3,LIU Xiang-tong1,WANG Dong-dong1   

  1. College of Surveying and Mapping,East China University of Technology,Nanchang 330013,Jiangxi,China;

    State Key Laboratory of Remote Sensing Science,Beijing Normal University,Beijing 100875,China; Beijing Engineering Research Center of Global Land Remote Sensing Product,Beijing 100875,China

  • Received:2019-03-25 Revised:2019-08-14 Online:2020-03-25 Published:2020-05-08

Abstract: 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 vegetationcovered 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.

Key words: VPM model, multi-source data, gross primary productivity, spatial and temporal patterns, Heihe River Basin