CN110413710A - A kind of Ecological Function evaluation method based on forest governmance and GIS - Google Patents
A kind of Ecological Function evaluation method based on forest governmance and GIS Download PDFInfo
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- CN110413710A CN110413710A CN201810387620.3A CN201810387620A CN110413710A CN 110413710 A CN110413710 A CN 110413710A CN 201810387620 A CN201810387620 A CN 201810387620A CN 110413710 A CN110413710 A CN 110413710A
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- 238000011156 evaluation Methods 0.000 title claims abstract description 15
- 238000005070 sampling Methods 0.000 claims abstract description 5
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- 238000004458 analytical method Methods 0.000 description 1
- 238000007796 conventional method Methods 0.000 description 1
- 238000007405 data analysis Methods 0.000 description 1
- 238000009367 silviculture Methods 0.000 description 1
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Abstract
A kind of Ecological Function evaluation method based on forest governmance and GIS, on the basis of forest governmance, in the N number of micro- sample of forest of forest bottom class sampling selection, forest bottom class database is established using GIS technology, it include forest reserves in database, forest naturalness, structure of community, Tree Structure, mean height, canopy density, 8 factors of the total coverage of vegetation and dry branches and fallen leaves level of thickness, bottom class's comprehensive score Yj is calculated by formula, the comprehensive score Y of the N number of bottom class in entire forest farm is calculated again, finally find out forest ecology composite index K, determine forest farm Ecological Function grade.
Description
One, technical field
The invention is a kind of method for carrying out forest ecology evaluation using sample investigation and GIS technology.
Two, technical background
Ecological Function be it is invisible, its value can not be realized by marketplace exchange, but Ecological Function is existing
Cost of silviculture, and be forest culture and management income, it needs correctly to evaluate it.Traditional forest ecology evaluation is investigated in study plot
On the basis of, it is always covered with forest reserves, forest naturalness, structure of community, Tree Structure, mean height, canopy density, vegetation
And 8 factors of dry branches and fallen leaves level of thickness carry out grade classification and power to this 8 factors as Ecological Function evaluation points
It reassigns, calculates forest ecology function index, determine the grade of Ecological Function.Conventional method heavy workload, and can not be right
Survey data carries out unified, efficient management.Set forth herein a kind of forest ecology function based on forest governmance and GIS
Can evaluation method, this method is and the benefit by evaluating the ecological ragime of full wafer forest with extracting forest micro- sample
Forest bottom class database is established with GIS technology, data can be carried out with efficiently unified management, be more convenient for dividing data
Analysis.
Three, summary of the invention
To overcome traditional Ecological Function evaluation method heavy workload, the problems such as data volume is big, in two class of the forest reserves
On the basis of investigation, in the N number of micro- sample of forest of forest bottom class sampling selection, forest bottom class database is established using GIS technology, number
It is always covered according in library comprising forest reserves, forest naturalness, structure of community, Tree Structure, mean height, canopy density, vegetation
8 factors of cover degree and dry branches and fallen leaves level of thickness calculate bottom class's comprehensive score Y by formulaj, then to calculate entire forest farm N number of small
The comprehensive score Y of class, finally finds out forest ecology composite index K, determines forest farm Ecological Function grade.
The method have the advantages that: the micro- sample-plot survey method of forest is taken, workload is small, using GIS technology, is convenient for
Administrative analysis data.
Four, Detailed description of the invention:
Nothing.
Five, specific embodiment:
A kind of Ecological Function evaluation method based on forest governmance and GIS, the specific steps of which are as follows:
1) on the basis of forest governmance, in the N number of micro- sample of forest of forest bottom class sampling selection, GIS is utilized
Technology establishes forest bottom class database, includes forest reserves, forest naturalness, structure of community, Tree Structure, woods in database
Divide mean height, canopy density, 8 factors of the total coverage of vegetation and dry branches and fallen leaves level of thickness, each level of factor criteria for classifying and power
Weight is as shown in the table:
Ecological Function evaluation points and Type division
2) bottom class's comprehensive score Yj is calculated, formula is as follows:
Xi is the type scores value of i-th evaluation points in formula (grade I, grade II, grade III take 1,2,3 respectively)；Wi
It is the weight of each evaluation points.
3) comprehensive score of the entire N number of bottom class in forest farm is calculated, formula is as follows:
Sj is the area of j-th of bottom class in formula.
Forest ecology composite index are as follows:Forest ecology function index value≤1, numerical value show ecology closer to 1
Function is better, and Ecological Function grading standard is as shown in the table:
Ecological Function grading standard
Claims (1)
1. a kind of Ecological Function evaluation method based on forest governmance and GIS, it is characterized in that: in the forest reserves
On the basis of forestry resource survey, in the micro- sample of forest bottom class sampling selection, bottom class's database is established using GIS technology, passes through formula
Forest ecology function index value is calculated, Ecological Function is evaluated, the specific steps of which are as follows:
1) on the basis of forest governmance, in the N number of micro- sample of forest of forest bottom class sampling selection, GIS technology is utilized
Forest bottom class database is established, is put down in database comprising forest reserves, forest naturalness, structure of community, Tree Structure, standing forest
Equal 8 height, canopy density, the total coverage of vegetation and dry branches and fallen leaves level of thickness factors, each level of factor criteria for classifying and weight are such as
Shown in following table:
Ecological Function evaluation points and Type division
2) bottom class's comprehensive score Y is calculatedj, formula is as follows:
X in formulaiFor the type scores value of i-th evaluation points (grade I, grade II, grade III take 1,2,3 respectively)；WiIt is respectively to comment
The weight of the valence factor；
3) comprehensive score of the entire N number of bottom class in forest farm is calculated, formula is as follows:
Sj is the area of j-th of bottom class in formula；
Forest ecology composite index are as follows:Forest ecology function index value≤1, numerical value show ecological functions closer to 1
Better, Ecological Function grading standard is as shown in the table:
Ecological Function grading standard
Ecological Function grade is evaluated according to the table.
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| Application Number | Priority Date | Filing Date | Title |
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| CN201810387620.3A CN110413710A (en) | 2018-04-26 | 2018-04-26 | A kind of Ecological Function evaluation method based on forest governmance and GIS |
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| CN201810387620.3A CN110413710A (en) | 2018-04-26 | 2018-04-26 | A kind of Ecological Function evaluation method based on forest governmance and GIS |
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Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111062628A (en) * | 2019-12-20 | 2020-04-24 | 上海市园林科学规划研究院 | Forest asset quality grading evaluation method |
| CN111258983A (en) * | 2020-01-14 | 2020-06-09 | 山西省林业科学研究院 | Method for converting first-class and second-class national forest resource data |
| CN112668948A (en) * | 2021-02-08 | 2021-04-16 | 浙江弄潮儿智慧科技有限公司 | Forestry ecological environment man-machine interaction system and method based on multi-source information fusion |
| CN112783873A (en) * | 2021-03-25 | 2021-05-11 | 四川省林业和草原调查规划院 | Forest resource spatial data management method, device and equipment under one-to-many relationship |
| CN113018725A (en) * | 2021-04-26 | 2021-06-25 | 武汉行健道信息技术有限公司 | Intelligent fire fighting analysis and management integrated platform based on remote image analysis and processing technology |
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| US20070124335A1 (en) * | 2005-11-29 | 2007-05-31 | Park Gwang Woo | Method for quantifying plant resources using gis |
| CN101828503A (en) * | 2010-05-12 | 2010-09-15 | 崔国发 | Method for testing forest resource sustainability |
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2018
- 2018-04-26 CN CN201810387620.3A patent/CN110413710A/en active Pending
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|---|---|---|---|---|
| US20070124335A1 (en) * | 2005-11-29 | 2007-05-31 | Park Gwang Woo | Method for quantifying plant resources using gis |
| CN101828503A (en) * | 2010-05-12 | 2010-09-15 | 崔国发 | Method for testing forest resource sustainability |
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| 王柏昌 等: "森林生态指数在森林资源规划设计调查中的应用" * |
Cited By (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111062628A (en) * | 2019-12-20 | 2020-04-24 | 上海市园林科学规划研究院 | Forest asset quality grading evaluation method |
| CN111062628B (en) * | 2019-12-20 | 2023-04-18 | 上海市园林科学规划研究院 | Forest asset quality grading evaluation method |
| CN111258983A (en) * | 2020-01-14 | 2020-06-09 | 山西省林业科学研究院 | Method for converting first-class and second-class national forest resource data |
| CN112668948A (en) * | 2021-02-08 | 2021-04-16 | 浙江弄潮儿智慧科技有限公司 | Forestry ecological environment man-machine interaction system and method based on multi-source information fusion |
| CN112668948B (en) * | 2021-02-08 | 2022-03-11 | 浙江弄潮儿智慧科技有限公司 | Forestry ecological environment man-machine interaction system and method based on multi-source information fusion |
| CN112783873A (en) * | 2021-03-25 | 2021-05-11 | 四川省林业和草原调查规划院 | Forest resource spatial data management method, device and equipment under one-to-many relationship |
| CN112783873B (en) * | 2021-03-25 | 2022-03-18 | 四川省林业和草原调查规划院 | Forest resource spatial data management method, device and equipment under one-to-many relationship |
| CN113018725A (en) * | 2021-04-26 | 2021-06-25 | 武汉行健道信息技术有限公司 | Intelligent fire fighting analysis and management integrated platform based on remote image analysis and processing technology |
| CN113018725B (en) * | 2021-04-26 | 2022-01-28 | 刘宏伟 | Intelligent fire fighting analysis and management integrated platform based on remote image analysis and processing technology |
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Application publication date: 20191105 |