J Integr Plant Biol. ›› 1998, Vol. 40 ›› Issue (6): -.

• Research Articles •    

Modelling the NET Primary Productivity of the Natural Potential Vegetation in China

LI Di-Qiang, SUN Cheng-Yong and ZHANG Xin-Shi   

Abstract: The relationship between net primary productivity (NPP) of natural potential vegetation in China and its climate control has been studied. First, site water balance indices are calculated by means of climate station document interpolation. NPP field document is strongly correlated with actual evapotranspiration in growth period, annual actual evapotranspiration, annual potential evapotranspiration and water deficiency indices. Then according to the mechanism of NPP accumulation, a WBINPP model is developed basing on a collection of NPP field document all over the country and site water balance indices interaction: NPP = 2.55 GAE·e - 4.20922-1. 9665. Al. Comparing with other NPP models, such as Miami, Thomthwaite Memorial and Chikugo, WBINPP model is more rational and strongly fit to field doccment, the correlation coefficient is 0. 845. According to WBINPP model, a spatial pattern analysis for NPP in China is conducted by means of a GIS software, EIS, and the result shows NPP is declined from Southeastern China to Northwestern China. NPP of the greatest value is above 22 t·hm-2. a-1 in the region located in Hainan and Taiwan Province; while with different values of 12 ~ 16, 8 ~ 12, 4 - 8 t·hm-2·a-1 in the region of middle and lower reaches of Yangtze River, the Northern China plain and the Northeastern Region in China, respectively. In the Northern steppe zone NPP is about 2 t·hm- 2·a- 1 and in the dry desert zone is lower than 2 t·hm- 2·a-1.

Key words: Climate-vegetation, Net primary productivity, Water balance indices, Global change

Editorial Office, Journal of Integrative Plant Biology, Institute of Botany, CAS
No. 20 Nanxincun, Xiangshan, Beijing 100093, China
Tel: +86 10 6283 6133 Fax: +86 10 8259 2636 E-mail: jipb@ibcas.ac.cn
Copyright © 2022 by the Institute of Botany, the Chinese Academy of Sciences
Online ISSN: 1744-7909 Print ISSN: 1672-9072 CN: 11-5067/Q
备案号:京ICP备16067583号-22