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Technical method for studying and building main arbor species land parcels/class classification indexes in China

An arbor and index technology, which is applied in the field of research and construction of China's main arbor tree species block/subclass classification index, can solve the problem that the growth model of forest arbor is not widely used, the system establishment of dynamic update of forest resources and the technology of data update not enough time

Inactive Publication Date: 2019-07-16
BEIJING FORESTRY UNIVERSITY
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Problems solved by technology

[0003] The management of forest resources in China is not yet complete, and the survey of forest resources still faces some practical problems: For example, the growth model of forest trees has not been widely used, which leads to the establishment of a dynamic update system of forest resources and the technology of data update not timely enough

Method used

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  • Technical method for studying and building main arbor species land parcels/class classification indexes in China
  • Technical method for studying and building main arbor species land parcels/class classification indexes in China
  • Technical method for studying and building main arbor species land parcels/class classification indexes in China

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Embodiment Construction

[0014] The research on the classification index of China’s dominant tree species plots / subcompartments is to classify the impact of status changes on the growth process of forest subcompartment arbors. The specific implementation methods are as follows:

[0015] (1) Divide the influence of status change on the growth process of forest trees into slope (α), aspect (β), slope position (γ), and soil thickness (h), standardize the data, and establish the forest tree growth A relational model of the topographical influences on the process.

[0016] (2) Establish a mathematical model, In the formula, λ α is the influence coefficient of arbor growth slope, λ β is the influence coefficient of arbor growth slope aspect, λ γ is the influence coefficient of arbor growth slope position, λ h is the influence coefficient of soil thickness for arbor growth.

[0017] Table 1 is the specific result size value of the classification index of China's leading tree species plots / subgroups.

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Abstract

The invention discloses a technical method for studying and building main arbor species land parcels / class classification indexes in China. The technology is used for exploring the influence of topography, terrain and soil conditions in different places on tree growth and forest distribution. the influence factors are concluded as land parcel / class classification indexes; a Chinese dominant arborland parcel / class classification index map (table) is provided, (1) the influence of position change on a forest arbor growth process is divided into a slope (alpha), a slope direction (beta), a slopeposition (gamma) and a soil thickness (h), data standardization processing is carried out on data, and a relation model of the influence of topographic factors on the forest arbor growth process is established; and (2) a mathematical model is established, in the formula, lambda alpha is an arbor growth slope influence coefficient, lambda beta is an arbor growth slope direction influence coefficient, lambda gamma is an arbor growth slope position influence coefficient and lambda h is an arbor growth soil thickness influence coefficient.

Description

technical field [0001] The invention relates to a technical method for the research and construction of the classification index of China's main arbor tree species block / sub-class, especially a technical method for the research and construction of the main arbor tree species block / sub-class classification index in China. [0002] technical background [0003] The management of forest resources in China is not yet complete, and the survey of forest resources still faces some practical problems: For example, the growth model of forest trees has not been widely used, which leads to the establishment of a dynamic update system of forest resources and the technology of data update Not timely enough. The five-year Class I Lianqing data and the ten-year Class II survey data cannot reflect the current situation and dynamic changes of China's forest resources in a timely and comprehensive manner. an effective method. At the same time, China has a vast territory with great difference...

Claims

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Application Information

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IPC IPC(8): G06Q50/02G06Q10/04
CPCG06Q50/02G06Q10/04
Inventor 冯仲科王媛
Owner BEIJING FORESTRY UNIVERSITY
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