Acta Geographica Sinica ›› 2004, Vol. 59 ›› Issue (1): 80-87.doi: 10.11821/xb200401010

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Accurate Estimation of Net Primary Productivity of Terrestrial Ecosystem at a Regional Scale

MATSUSHITA Bunkei, YANG Cuifen, CHEN Jin, WANG Qinxue, KAMEYAMA Satoshi, TAMURA Masayuki   

  1. National Institute for Environmental Studies, Tsukuba 305-8506, Japan
  • Received:2003-09-07 Revised:2003-11-22 Online:2004-01-25 Published:2004-01-25
  • Supported by:

    Integrated Environmental Monitoring (IEM) Subproject, the Asia-Pacific Environmental Innovation Strategy Project (APEIS)


This paper describes a method for the estimation of the net primary productivity (NPP) by integrating remotely sensed and GIS data with a process-based ecosystem model. Hokkaido Island of Japan was selected as a case to validate our method. In order to improve the estimation accuracy, we improved the BEPS model (Boreal Ecosystem Productivity Simulator) for NPP estimation by incorporating new land cover classification logic, a robust Normalized Difference Vegetation Index-Leaf Area Index (NDVI-LAI) algorithm and employing GIS data with high quality as the input of the model. As the results of the model calculation, the mean and total NPP for the study area in 1998 was 644 g C/m2/yr and 0.078 Gt C/yr, respectively. In addition, the effect of the quality of the model input requirements on accurate NPP estimation using a process-based model was also assessed. The results show that the higher quality input data obtained from GIS datasets for a process-based model improved the NPP estimation accuracy for Hokkaido Island by about 16.6%-39.7%.

Key words: process-based ecosystem model, remote sensing, GIS data, net primary productivity