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Volume 2 Issue 4
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Article Navigation >  Forest Research  > 1989 >  2(4): 395-401

Citation:
shu

ESTABLISHMENT OF SITE QUALITY AND MANAGEMENT INTENSITY TABLE FOR POPLAR IN LlNYl REGION, SHANGDONG PROVINCE

  • 1.

    The Research Institute of Forestry CAF

  • 2.

    Forest Bureau of Ju County, Shangdong Province

  • 3.

    Forest Bureau of Linyi City, Shangdong Province

  • 4.

    Forest Bureau of Yinan County, Shangdong Province

  • Received Date: 1989-01-01
  • Data of growth were collected from 136 sample plots of intensively cultivated poplar plantations, 8 items and 32 categories of site quality and management intensity were set up as quantitative factors. The collected data of growth were processed in the way of quantification. A trapezoidal scoring table for the site quality and management intensity was compiled by means of programed computation. The correlation coefficient testing shows that the established regression equation for prediction is reliable. According to the testing of partial correlation coefficient, the selected items are basically main factors. The established table may offer scientific evidence for the intensive poplar management.
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通讯作者: 陈斌, bchen63@163.com
  • 1. 

    沈阳化工大学材料科学与工程学院 沈阳 110142

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ESTABLISHMENT OF SITE QUALITY AND MANAGEMENT INTENSITY TABLE FOR POPLAR IN LlNYl REGION, SHANGDONG PROVINCE

  • 1. The Research Institute of Forestry CAF
  • 2. Forest Bureau of Ju County, Shangdong Province
  • 3. Forest Bureau of Linyi City, Shangdong Province
  • 4. Forest Bureau of Yinan County, Shangdong Province
  • Received Date: 1989-01-01
  • Available Online: 2012-12-04

Abstract: Data of growth were collected from 136 sample plots of intensively cultivated poplar plantations, 8 items and 32 categories of site quality and management intensity were set up as quantitative factors. The collected data of growth were processed in the way of quantification. A trapezoidal scoring table for the site quality and management intensity was compiled by means of programed computation. The correlation coefficient testing shows that the established regression equation for prediction is reliable. According to the testing of partial correlation coefficient, the selected items are basically main factors. The established table may offer scientific evidence for the intensive poplar management.

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