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Forest ecological function evaluation method based on forest resource second-class investigation and GIS

A technology of ecological functions and forest resources, applied in the fields of instruments, structured data retrieval, data processing applications, etc., can solve problems such as large workload and large data volume, and achieve the effect of small workload and easy management and analysis of data.

Pending Publication Date: 2019-11-05
BEIJING FORESTRY UNIVERSITY
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AI Technical Summary

Problems solved by technology

[0006] In order to overcome the problems of heavy workload and large amount of data in traditional forest ecological function evaluation methods, on the basis of the second-class survey of forest resources, N forest micro-sample plots were selected in the forest sub-compartment, and the forest sub-compartment database was established by using GIS technology. Including forest stock volume, forest naturalness, community structure, tree species structure, average stand height, canopy density, total vegetation coverage and litter thickness grade 8 factors, the comprehensive score Y of the small class is calculated by the formula j , and then calculate the comprehensive score Y of the N small classes in the entire forest farm, and finally calculate the forest ecological comprehensive index K to determine the forest ecological function level of the forest farm

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  • Forest ecological function evaluation method based on forest resource second-class investigation and GIS
  • Forest ecological function evaluation method based on forest resource second-class investigation and GIS

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Embodiment Construction

[0011] A forest ecological function evaluation method based on the second-class survey of forest resources and GIS, the specific steps are as follows:

[0012] 1) On the basis of the second-class survey of forest resources, select N forest micro-sample plots in the forest sub-compartment, and use GIS technology to establish a forest sub-compartment database. The database includes forest stock volume, forest naturalness, community structure, tree species structure, forest It is divided into 8 factors including average height, canopy density, total vegetation coverage and litter thickness. The classification standards and weights of each factor are shown in the table below:

[0013] Evaluation Factors and Types of Forest Ecological Functions

[0014]

[0015] 2) Calculate the comprehensive score Yj of the small class, the formula is as follows:

[0016]

[0017] In the formula, Xi is the type score value of the i-th evaluation factor (level I, level II, and level III take...

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Abstract

The invention discloses a forest ecological function evaluation method based on forest resource second-class investigation and GIS. The method is based on forest resource second-class investigation. The method comprises steps of sampling and selecting N forest micro-sample plots in a forest subcompartment; establishing a forest subcompartment database by using a GIS technology, wherein the database comprises eight factors of forest accumulation, forest naturalness, community structure, tree species structure, forest stand average height, canopy density, vegetation total coverage and dry branchand fallen leaf thickness grade; calculating the comprehensive score Yj of each subcompartment through a formula, then calculating the comprehensive score Y of N subcompartments of the whole forest farm, finally solving a forest ecological comprehensive index K, and determining the forest ecological function grade of the forest farm.

Description

[0001] 1. Technical field [0002] The invention is a method for evaluating forest ecology by using sampling survey and GIS technology. [0003] 2. Technical Background [0004] Forest ecological function is intangible, and its value cannot be realized through market exchange. However, forest ecological function has both forest management cost and forest management income, and it needs to be correctly evaluated. The traditional forest ecological evaluation is based on the investigation of the standard land, with 8 factors including forest volume, forest naturalness, community structure, tree species structure, average stand height, canopy density, total vegetation coverage and litter thickness grade. As the evaluation factors of forest ecological function, these eight factors are graded and weighted, and the index of forest ecological function is calculated to determine the grade of forest ecological function. The traditional method has a heavy workload and cannot manage the s...

Claims

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Application Information

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IPC IPC(8): G06F16/29G06Q50/26
CPCG06Q50/26
Inventor 冯仲科马文苑
Owner BEIJING FORESTRY UNIVERSITY
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