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›› 1992, Vol. 28 ›› Issue (3): 202-207.

• 论文及研究报告 • Previous Articles     Next Articles

A METHOD OF SPACE DISTRIBUTION INFORMATION NETWORK FOR PREDICTING SUITBILITY OF TREE SPECIES IN LARGE AREAS

Feng Chang   

  1. Gansu Reseach Institute of Forestry
  • Received:1990-11-14 Revised:1900-01-01 Online:1992-07-25 Published:1992-07-25

Abstract: In this paper, a new method was proposed for sit information, which was applicable to predicting suitbility of tree species in large areas and the space distribution expectation data of 33 climatic elements, and constituted a imformation network. In this method the mixed model with localizing founctions was established by means of large-scale topographic map, in which the surveying information was regarded as independant variable corresponding to dependant variable——the information of tree increment and climatic elements collected from indoor or outdoor investigation. The expectation data of the designed position could be abtained by soluting regression equation in which the surveying informations examined from kilometer network of the topographic map in a horizontal distance form the ordinate and abscissa were taken as independant variable, so the space distribution information network covering the whole investigated area could be constitued.

Key words: To plans suitable trees on suitable ground, Tree species suitability, Locallzing mixed model, Gauss-Kruger coordinate, A comprohensive growth model