Larch Crown Volume And Surface Area Growth Model

Allometric model is an indirect estimation method,It is used in the more extensive forest school,On a very good explanation of Forestry,It does not consider the investigation of tree growth environment according to the same species,Deal with certain mathematical methods,In the form of graphs, tables or formulas to estimate the growth of the trees crown body.Most multi-factor approach curve model,Pay more attention to the relationship between variables and various other factors,Thus avoiding appears "mutual forecast" factor among the "cycle estimates" and other issues between the models,Relatively high accuracy.In this paper, for example Allometric Models,The application of the method in which multiple regression analysis.In the process of building the body’s growth model crown.First, crown body should consider the factors which influence the growth of the body which crown. Larch grown under the same external conditions such as:climatic factors, soil factors, topography, biological factors, human activities, etc. Conditions:If The diameter of the Larch tree height, crown length and other factors affecting canopy volume and construct a mathematical model of surface growth.In the actual measurement workload would be great,And many data.Error will subsequently increase.However, the number of trees and canopy volume factor in order correlation analysis can estimate the effective variable.This will not only solve a large number of species in a separate study of the problem of time-consuming consuming work.Meanwhile, the error has been corresponding control.To this end, forestry production and practice to bring greater convenience, is of great significance for forest surveys.In this paper, the main species of larch nature reserve area of Heilongjiang Province ambitions Daxinganling area of about0.16hectares strip crown volume and surface area which variables related factors,And the establishment of a mathematical model.First, the first processing data,The establishment of effective data one by one factor curve model with crown volume and surface area,And do the correlation analysis,Draw valid variable factor,Allometric model is recommended,Transformation of this nonlinear model,Multiple linear regression analysis was then performed,Derived regression model,And this regression model can be tested,This model passed the test,So Allometric growth model can better estimate the size and growth of the crown surface area. Innovation of this paper is mainly manifested in:Multiple regression analysis will be introduced among forestry applications.To solve the nonlinear model used by the forestry operations can be simplified.For the development of forestry provide a new way of thinking. When you create growth model crown volume and surface area of respectively for a dependent variable and one independent variable discussion and analysis.Avoid mutual inter prediction factor.Allometric with a model to describe the same tree crown growth eliminating. The measurement of some unnecessary factor for the future develo pment of forestry to provide reliable research ideas.