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ZHENG Shao-wei, LI Jun, LI Yan-qiong, MU Chang-long, CHEN Jun-hua, ZHOU Da-song, XIE Tian-zi, LI Yu-qi, LUO Yi-shuang. Establishing the Three Dimensional Green Quantity Forecast Model of Main Tree Species in Urban Forest by Using Morphological factors[J]. Journal of Sichuan Forestry Science and Technology, 2017, 38(1): 6-10. doi: 10.16779/j.cnki.1003-5508.2017.01.002
Citation: ZHENG Shao-wei, LI Jun, LI Yan-qiong, MU Chang-long, CHEN Jun-hua, ZHOU Da-song, XIE Tian-zi, LI Yu-qi, LUO Yi-shuang. Establishing the Three Dimensional Green Quantity Forecast Model of Main Tree Species in Urban Forest by Using Morphological factors[J]. Journal of Sichuan Forestry Science and Technology, 2017, 38(1): 6-10. doi: 10.16779/j.cnki.1003-5508.2017.01.002

Establishing the Three Dimensional Green Quantity Forecast Model of Main Tree Species in Urban Forest by Using Morphological factors


doi: 10.16779/j.cnki.1003-5508.2017.01.002
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  • Received Date: 2016-11-21
  • In this paper,the species,tree height,diameter at breast height and crown width of major urban greening tree species in the urban area of Chengdu were obtained in combination with satellite images and through sampling survey.The regressive model of morphological index and three-dimensional green quantity was established by the regression model.The results showed that The tree height,diameter at breast height and crown width of the urban greening tree species in the central urban area of Chengdu were generally distributed in a normal distribution pattern.And the number of green trees with tree height between 5 m~15 m,diameter between 10 cm~30 cm,crown width between 3 m~9 m showed the most,respectly being 49.41%~95.61%,53.77%~89.04% and 64.36%~64.04%.It showed that the main tree species of urban forest in Chengdu had diameter structure stability.There was a significant positive correlation between the three-dimensional green quantity,tree height,DBH and crown width of tree species(P<0.01).And the correlation coefficient between the crown width and the three-dimensional green quantity of the plant was the highest,being 0.801~0.909.The regression model was established according to the stepwise regression of plant height,crown width and DBH of the main greening trees.The R2 values of the two models with the crown width as the independent variable and the crown height and the tree height as the independent variables were all above 0.70.
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Establishing the Three Dimensional Green Quantity Forecast Model of Main Tree Species in Urban Forest by Using Morphological factors

doi: 10.16779/j.cnki.1003-5508.2017.01.002
  • Sichuan Academy of Forestry, Chengdu 610081, Sichuan, China;Forestry Bureau of Ebian Yi Autonomous County, Ebian 614300, China

Abstract: In this paper,the species,tree height,diameter at breast height and crown width of major urban greening tree species in the urban area of Chengdu were obtained in combination with satellite images and through sampling survey.The regressive model of morphological index and three-dimensional green quantity was established by the regression model.The results showed that The tree height,diameter at breast height and crown width of the urban greening tree species in the central urban area of Chengdu were generally distributed in a normal distribution pattern.And the number of green trees with tree height between 5 m~15 m,diameter between 10 cm~30 cm,crown width between 3 m~9 m showed the most,respectly being 49.41%~95.61%,53.77%~89.04% and 64.36%~64.04%.It showed that the main tree species of urban forest in Chengdu had diameter structure stability.There was a significant positive correlation between the three-dimensional green quantity,tree height,DBH and crown width of tree species(P<0.01).And the correlation coefficient between the crown width and the three-dimensional green quantity of the plant was the highest,being 0.801~0.909.The regression model was established according to the stepwise regression of plant height,crown width and DBH of the main greening trees.The R2 values of the two models with the crown width as the independent variable and the crown height and the tree height as the independent variables were all above 0.70.

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