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Simulation of net primary productivity by a satellite data-driven improved CASA model in Xilingol grassland.

YANG Yong1, LI Lan-hua2, WANG Bao-lin2, SONG Xiang-yang2, LIU Ai-jun2**, WANG Ming-jiu1**   

  1. (1College of Ecology and Environmental Science, Inner Mongolia Agricultural University, Huhhot 010019, China; 2Inner Mongolia Institute of Grassland Survey and Planning, Huhhot 010051, China)
  • Online:2015-08-10 Published:2015-08-10

Abstract: We improved the parameters of the maximum solar energy utilization efficiency and water stress coefficient algorithm of the original CASA model. The improved CASA model was verified by simulating the net primary productivity (NPP) of Xilingol grassland in 2010. Our results show that the improved CASA model could estimate small scale vegetation NPP in Inner Mongolia grassland, with significant correlation between simulated NPP and observed data (R2=0.829, P<0.05). On average, NPP in growing season (AprilOctober) of Xilingol grassland in 2010 was 284.64 g C·m-2·a-1. NPP was considerably different among different regions. For example, NPP was up to 411.11 g C·m-2·a-1 in Ujimqin grassland and 158.87 g C·m-2·a-1 in Erenhot City grassland. Consistent to the trend of regional water and heat variation, NPP of Xilingol grassland decreased from east to west. There were two peaks in the temporal pattern of NPP due to lag effect of precipitation. NPP in 2010 varied among different grassland types and was mostly in the range of 250-350 g C·m-2·a-1, in which the NPP of meadow steppes was the highest, followed by typical steppes, while NPP of desert steppes was the lowest.

Key words: food web, Lao-shan Bay., Conger myriaster, diet composition, feeding ecology, trophic niche