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Improvement of Crown Interception Model Based on Vegetation Structural Parameters

Author: YinZuo
Tutor: GuanWenBin
School: Beijing Forestry University
Course: Physical Geography
Keywords: Dark coniferous forest Tree pipeline Leaf area index Fractal Rainfall interception Gash model
CLC: S715
Type: Master's thesis
Year: 2009
Downloads: 102
Quote: 1
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Abstract


Vegetation structure has an important influence on precipitation interception dark coniferous forest ecosystem in Gongga Mountain . In this paper, fractal geometry , the pipe model tree , landscape ecology , geostatistics theory and plant canopy analysis , respectively, from the trees on the individual and community level , research Abies dark coniferous forest ecosystem structure and canopy interception characteristics establish a statistical model of the tree based on the structural analysis of the tree and the forest ecosystem pattern analysis pipeline parameters , leaf area index , the crown projection plaque fractal dimension and canopy interception . The same time , by the establishment of the three vegetation parameters freely through the flow coefficient statistically equation , the introduction of structural parameters of the Gash model Dark Coniferous overripe forest like 24 games with the rainy season rainfall interception simulation and analysis of the error . The results show that : the tree pipeline parameter reflects the ability of the trunk and the amount of lateral branches bearing leaves , and canopy interception linear ; leaf area index represents the retention capacity of unit area communities rainfall , canopy interception linear ; compared with the forest coverage , the canopy projection plaque of fractal dimension to better reflect the complex arrangement of forest canopy in the space , with to Rinnai rainfall linear . Outside the forest rainfall rain forest within the linear equation y = 1.157x 2.1737 (r 2 = 0.9923), calculated according to the equation intercept mature forest foliage water holding capacity of the water-holding capacity and trunk were 1.4491 mm and 0.7246mm. Freely through the flow coefficient and the three vegetation structure parameters between the statistical equation : P = 0.78e - 1.72F ( R 2 < / sup> = .9761 ) , P = -0.38 ( FD) 1.34 (R 2 = 0.851), P = -0.37 (LAI) 2.74 (R 2 = 0.7896), were well into the interception model . From the comparison : F

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CLC: > Agricultural Sciences > Forestry > Forestry basic science > Forest Hydrology
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