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Citation:

Calculation and Regulation of Forest Stand Density According to Soil Water Carrying Capacity:A Case of Larix principis-rupprechtii Plantation in Liupan Mountains

  • Received Date: 2013-12-09
  • The vegetation carrying capacity is mainly determined by soil moisture condition is an important basis for the reasonable forest managements in dryland regions. Since the evapotranspiration of forest is directly related to the leaf area index (LAI) and it accounts for the absolutely dominant proportion in the water output from forestland in arid areas, it is proposed to use the maximum LAI (LAImax) during a period of growing season as the quantitative indicator of the vegetation carrying capacity (LAIc). In order to promote the related technology progress, the LAI of stand canopy of 44 sample plots of Larix principis-rupprechtii plantation were monitored using Plant Canopy Analyzer (LAI-2000) during the growing season in two small catchments of Xiangshuihe and Diediegou at Liupan Mountains located at northwest China. The seasonal variation of canopy LAI and the relation among the LAI and other normal stand structure parameters, such as stand basal area, canopy density, mean tree height and stand density were analyzed. The result showed that a power function existed between the LAImax and all the stand structure parameters mentioned above, with a determination coefficient (R2) of 0.84, 0.82, 0.56 and 0.47 respectively. It implies that the stand basal area, which is jointly determined by stand density and size of trees, is correlated with the canopy LAI at the best. Therefore, the power relation between the LAImax and basal area was coupled into a model which describes the relations among the stand average DBH, stand density and stand age, for describing the relation among LAImax, stand density and stand age. Then, the parameters in this model were fitted using the measured data from sample plots. The model precision test showed that the mean relative error between the simulated and field measured values of LAImax was 8.6% (0-20.4%). This implies that this fitted model can well describe the relation among the forest canopy LAI, forest age and forest density. Hence, this model was used to deduce a new model for calculating the stand density at any given tree age under any certain LAIc value. The result of this study could offer theoretical and technical reference for stand density regulation and multifunctional forest management based on vegetation carrying capacity.
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Calculation and Regulation of Forest Stand Density According to Soil Water Carrying Capacity:A Case of Larix principis-rupprechtii Plantation in Liupan Mountains

  • 1. Research Institute of Forest Ecology, Environment and Protection, Chinese Academy of Forestry, Key Laboratory of Forestry Ecology and Environment of the State Forestry Administration, Beijing 100091, China
  • 2. College of Forestry, Central South University of Forestry and Technology, Changsha 410002, Hu'nan, China

Abstract: The vegetation carrying capacity is mainly determined by soil moisture condition is an important basis for the reasonable forest managements in dryland regions. Since the evapotranspiration of forest is directly related to the leaf area index (LAI) and it accounts for the absolutely dominant proportion in the water output from forestland in arid areas, it is proposed to use the maximum LAI (LAImax) during a period of growing season as the quantitative indicator of the vegetation carrying capacity (LAIc). In order to promote the related technology progress, the LAI of stand canopy of 44 sample plots of Larix principis-rupprechtii plantation were monitored using Plant Canopy Analyzer (LAI-2000) during the growing season in two small catchments of Xiangshuihe and Diediegou at Liupan Mountains located at northwest China. The seasonal variation of canopy LAI and the relation among the LAI and other normal stand structure parameters, such as stand basal area, canopy density, mean tree height and stand density were analyzed. The result showed that a power function existed between the LAImax and all the stand structure parameters mentioned above, with a determination coefficient (R2) of 0.84, 0.82, 0.56 and 0.47 respectively. It implies that the stand basal area, which is jointly determined by stand density and size of trees, is correlated with the canopy LAI at the best. Therefore, the power relation between the LAImax and basal area was coupled into a model which describes the relations among the stand average DBH, stand density and stand age, for describing the relation among LAImax, stand density and stand age. Then, the parameters in this model were fitted using the measured data from sample plots. The model precision test showed that the mean relative error between the simulated and field measured values of LAImax was 8.6% (0-20.4%). This implies that this fitted model can well describe the relation among the forest canopy LAI, forest age and forest density. Hence, this model was used to deduce a new model for calculating the stand density at any given tree age under any certain LAIc value. The result of this study could offer theoretical and technical reference for stand density regulation and multifunctional forest management based on vegetation carrying capacity.

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