Arid Zone Research ›› 2015, Vol. 32 ›› Issue (2): 272-278.doi: 10.13866/j.azr.2015.02.09

• Plant Resources • Previous Articles     Next Articles

Multifactor Analyses of Impacting Net Photosynthetic Rate for 27 Species in the Xillinhot Steppe

WANG Ran, LI Su-ying, REN Li-juan, ZHAO Yuan-yuan, WU Xiao-xia, FAN Qiang   

  1. Department of Environmental Science, College of Energy and Power Engineering, Inner Mongolia University of Technology, Hohhot 010051, Inner Mongolia, China
  • Received:2014-04-16 Revised:2014-08-06 Online:2015-03-15 Published:2015-04-16

Abstract: The key impact factors of plants’ Pn (net photosynthetic rate) in the typical steppe were related with the fluctuation and stability of grassland productivity. This research tested the photosynthetic indexes and their environmental factors of 82 plants, 27 species in 22 sample plots. Pearson correlation analysis, multiple regression analysis, path analysis and decision coefficient were used to analyze the relationships between Pn and its impact factors. The results showed that the relationships between Pn and Gs(stomatal conductance), Tr(transpiration rate) of the steppe plants were significant positive correlation in Xillinhot steppe; Pn and Ci(intercellular CO2 concentration) had a significant negative correlation; Pn and WUE(water use efficiency) has a linear relation. Among the environmental factors which influenced the steppe plants, Pn was increased with RH(ambient humidity), while Ta(air temperature) did not significantly influence Pn. Path analysis indicated that WUE, Tr, Gs and RH were major factors of impacting Pn for grasses. Decision coefficients showed that Tr, WUE, Gs and Ci promoted the decision variables of Pn, but Ta and RH were the restrictive factors for the photosynthesis of plants in the typical steppe. This research showed that Tr, WUE, Gs and RH were the main impact factors for Pn. The results in the paper could offer a basic analysis on the impact factors of grass productivity in the steppe area.

Key words: grassland, net photosynthetic rate, physiological factor, environmental factor, regression analysis, path analysis, Xilinhaote