Journal of Guangxi Normal University(Natural Science Edition) ›› 2019, Vol. 37 ›› Issue (3): 187-195.doi: 10.16088/j.issn.1001-6600.2019.03.022

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Spatial and Temporal Variability in the Net Primary Production and Its Driving Factors Base on MODIS Data in Guangxi, China

XIONG Xiaoju1,2,3, LIAO Chungui1,2,3, HU Baoqing1,2*, CHEN Yuelian3, ZHU Haizhen3   

  1. 1. Key Laboratory of Beibu Gulf Environment Change and Resources Use Nanning Normal University , Ministry of Education, Nanning Guangxi 530001, China;
    2. Guangxi Key Laboratory of Surface Processes and Intelligent Simulation Nanning Normal University , Nanning Guangxi 530001, China;
    3. School of Geography and Planning,Nanning Normal University,Nanning Guangxi 530001, China
  • Online:2019-07-12 Published:2019-07-12

Abstract: To explore general regularity of vegetation net primary productivity change and driving factor in Guangxi, based on the remote sensing data and Soil data and digital elevation model data, statistical methods are used to compare the vegetation net primary productivity change trend in different cities, soil and altitude. The results showed that:(1)The vegetation net primary productivity fluctuated between 578.51-870.48 g·m-2·a-1 from 2000 to 2015 in Guangxi, showing a downward trend. The vegetation net primary productivity in Wuzhou and Fangchenggang was high. (2)The vegetation net primary productivity in 6.45% of the area of Guangxi was in severe variation state, and 65.25% of the area of vegetation net primary productivity was in moderate variation, 28.30% of the area of vegetation net primary productivity was in mild variation.(3)Vegetation net primary productivity response to temperature and precipitation was not significantly enough.(4) Vegetation net primary productivity of Red earth, Limestone soil, Skeletal soil showed a declined trend, but that of Latosol increased. (5)The net primary productivity at different altitudes varied greatly, and the overall change trend is increase-decline-increase-decline.

Key words: net primary productivity, coefficient of variation, climate, characteristics on spatiotemporal variations, Guangxi,China

CLC Number: 

  • Q948
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