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Chinese Journal of Applied Ecology ›› 2017, Vol. 28 ›› Issue (10): 3208-3216.doi: 10.13287/j.1001-9332.201710.020

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Estimating in situ maximum net photosynthetic rate of Larix olgensis based on abscised mea-surement.

LIU Qiang, LI Feng-ri*, PENG Wei   

  1. Northeast Forestry University, Harbin 150040, China
  • Received:2017-03-23 Revised:2017-07-28 Online:2017-10-18 Published:2017-10-18
  • Supported by:

    This work was supported by the National Science and Technology Support Program (2017YFD0600402) and the Fundamental Research Funds for the Central Universities of China (2572016AA29).

Abstract: The data of needle in situ maximum net photosynthetic rate (SPn max) and abscised maximum net photosynthetic rate (APn max) were measured for the 15 year-old planted Larix olgensis stand in the Maoershan Forest Farm, Heilongjiang Province, China. The change pattern between APn max and abscised time (ta) was analyzed and the functional relationship between SPn max and APn max with ta was also established. Finally, the prediction model of SPn max for planted L. olgensis trees was developed by analyzing the effect of tree size and environmental factors on the decline of APnmax. The results showed that needle APn max decreased with the increase of ta without restoring water supply. The higher vapor pressure deficit (VPD) and the leaf temperature (Tleaf) would lead to faster and lager reduction of APn max. Taking VPD and ta as the independent variables of the linear regression model had the best goodness-of-fit for SPn max(Ra2 were 0.774 and RMSE was 20.73). The model prediction precision decreased with the increase of ta, but after 20 min it would be stabilized at 97%. Overall, estimating SPn max of L. olgensis trees by developing regression model based on abscised measurement not only had a well predictive ability but also had a stable predictive precision, and greatly improved the efficiency of field measurement. The results of this study could be suitably applied to measure SPn max in practice.