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cje ›› 2011, Vol. 30 ›› Issue (11): 2394-2399.

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Spatiotemporal distribution pattern of photosynthetically active radiation in subtropical evergreen broadleaved forest in Ailaoshan Mountains of Southwest China.

LI Lin-hui1,4, ZHANG Yi-ping1,2,3**, YOU Guang-yong1,4, YAO Yu-gang1,4, TAN Zheng-hong1,4, SONG Qing-hai1,4, LUO You-yong5   

  1. 1 Key Laboratory of Tropical Forest Ecology (Xishuangbanna Tropical Botanical Garden), Chinese Academy of Sciences, Kunming 650223, China;2Ailaoshan Station for Subtropical Forest Ecosystem Studies, Chinese Academy of Sciences, Jingdong 676209, Yunnan, China; 3 National Forest Ecosystem Research Station at Ailaoshan, Jingdong 676209, Yunnan, China;4Graduate University of Chinese Academy of Sciences, Beijing 100049, China;5Jingdong Protection Agency of Ailaoshan Mountain National Nature Reserve, Jingdong 676209, Yunnan, China
  • Online:2011-11-08 Published:2011-11-08

Abstract: Photosynthetically active radiation (PAR) is an important ecological factor affecting the energy transformation and matter production of plant ecosystem. Studies on the spatiotemporal distribution patterns of PAR in a plant ecosystem are helpful to understand the physiological and ecological characteristics and photosynthesis of the ecosystem. In this paper, the temporal and vertical distributions of PAR in a coniferous and subtropical evergreen forest in Ailaoshan Mountains of Southwest China were analyzed. At daily scale, the intensity of PAR during  passing through the forest canopy decreased gradually. At monthly scale, the PAR flux varied in each forest layer, with the maximum and minimum values above the canopy in February and January, respectively. The diurnal change of the PAR above the canopy (PAR1) presented a single-peak curve, while that of the PAR at the bottom of the canopy (PAR2) and in the arbor sub-layers (PAR3 and PAR4) and shrub layer (PAR5) presented an irregular single-peak curve. The PAR1, PAR2, PAR3, PAR4 and PAR5 fluxes at yearly scale were 8824.98, 682.20, 403.09, 216.62 and 208.52 mol·m-2, and the ratios of yearly PAR2, PAR3, PAR4 and PAR5 to PAR1 were 7.73%, 4.57%, 2.45% and 0.92%, respectively. The average PAR1, PAR2, PAR3, PAR4 and PAR5 in rain season were 89.77%, 89.34%, 97.32%%, 116.36% and 115.09% of those in dry season, respectively.

Key words: Growth dynamics, Schumacher equation, Genetic algorithms, Modified model