›› 2010, Vol. 12 ›› Issue (4): 580-586.

• ARTICLES • Previous Articles     Next Articles

Simulation by Remote Sensing and Temporal-spatial Analysis of Forest Ecosystem Net Primary Productivity in Fujian Province,China

JIANG Hong1,2, WANG Xiaoqin1, SUN Weijing1   

  1. 1. Key Laboratory of Spatial Data Mining & Information Sharing of Ministry of Education,Fuzhou University,Fuzhou 350002,China;
    2. College of Public Administration,Fuzhou University,Fuzhou 350108,China
  • Received:2009-06-08 Revised:2010-06-22 Online:2010-08-25 Published:2010-08-25

Abstract: Net primary productivity(NPP),defined as the net flux of carbon from atmosphere into green plants per unit time,is a fundamental ecological variable to measure the energy input of biosphere and terrestrial carbon dioxide assimilation,to indicate the condition of land surface area and status of a wide range of ecological processes.In recent decades,model simulation becomes a major technique for NPP estimation over large areas,which can be divided into several categories as statistical model,parameter model and process-based model.As one of the essential process-based simulator models,the boreal ecosystem productivity simulator(BEPS) was adopted to simulate the forest ecosystem NPP in this paper.With support of MODIS images,meteorological data and so on,forest ecosystem NPP for Fujian Province of China in 2004 was simulated by BEPS model and validated by forest carbon sink investigation data.The simulated result shows that,in 2004,annual mean NPP of forest ecosystem is about 578.97g C/m2·a,and the sum NPP reaches 46.18×106t C;the order of woodlands NPP is: bamboo ≈ broad-leaved trees>fir>Chinese red pine,and the average NPP is 788.6gC/m2·a,780.0gC/m2·a,519.8gC/m2·a and 437.3gC/m2·a respectively.The time-serials analysis of monthly NPP demonstrates that the forest NPP declined a lot during the period from June to August,which is the highest NPP under usual conditions.The precipitation decrease from June to August in 2004 is most likely to be one of the major factors for NPP decline,after the statistic analysis of meteorological data with monthly NPP.On the other hand,the positive correlation between annual forest NPP and elevation is outstanding,where the determination coefficient reaches 0.99.This special phenomenon implies,to some extent,that with the increase of elevation,the interference from human activity is lightened and the forest ecosystem NPP is improved and sustained.In other words,diminishing human interference to forest ecosystem is one of the key measures to maintain the robust productivity of forest,further to mitigate global climate warming.Finally,the uncertainty of BEPS simulation was discussed in brief with the data and the simulator itself.

Key words: elevation, net primary productivity(NPP), boreal ecosystem productivity simulator(BEPS), temporal-spatial analysis