基于3-PGS模型的中国陆地植被NPP格局

doi:10.11707/j.1001-7488.20110503

Scientia Silvae Sinicae ›› 2011, Vol. 47 ›› Issue (5): 16-22.doi: 10.11707/j.1001-7488.20110503

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Pattern Analysis of Net Primary Productivity of China Terrestrial Vegetation Using 3-PGS Model

Liu Jianfeng¹, Xiao Wenfa², Guo Mingchun³, Wu Huanping⁴, Jiang Zeping¹

1. Key Laboratory of tree breeding and cultivation of State Forestry Administration Research Institute of Forestry, CAF Beijing 100091;2. Research Institute of Forest Ecology, Environment and Protection, CAF Beijing 100091;3. College of Horticulture Science and Technology, Heibei Normal University of Science and Technology Qinhuangdao 066004;4. National Meteorological Center Beijing 100081

Received:2010-07-21 Revised:2011-04-07 Online:2011-05-25 Published:2011-05-25

Abstract

Abstract:

The paper aimed at investigating net primary productivity (NPP) of China terrestrial vegetation based on the light use efficiency model (3-PGS), and its temp-spatial pattern over various climate and vegetation types. The results showed that the annual mean NPP and annual sum of NPP in China terrestrial vegetation were approximately 315.99 gC ·m^-2a^-1 and 2.98 PgC, respectively during the period of 2003—2007. The distribution of NPP in China terrestrial vegetation was characterized as decreasing from southeast toward northwest China along the temperature and precipitation gradients. Tropical forests in the south-central of the Hainan island had the largest NPP value, whereas the plateau climate zone had the lowest values. NPP of China terrestrial vegetation also exhibited obvious seasonal changes with the peak values occurred in summer, and the lowest values in winter.

Key words: 3-PGS model, NPP, vegetation, pattern, China

CLC Number:

Liu Jianfeng;Xiao Wenfa;Guo Mingchun;Wu Huanping;Jiang Zeping. Pattern Analysis of Net Primary Productivity of China Terrestrial Vegetation Using 3-PGS Model[J]. Scientia Silvae Sinicae, 2011, 47(5): 16-22.

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Pattern Analysis of Net Primary Productivity of China Terrestrial Vegetation Using 3-PGS Model

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