CN114612002B - Regional contrast evaluation method for eliminating biodiversity protection effect influenced by natural factors - Google Patents
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Abstract
A region contrast evaluation method for eliminating the biological diversity protection effect influenced by natural factors relates to a region contrast evaluation method for eliminating the biological diversity protection effect. The method aims to solve the technical problem that the existing biodiversity protection achievement area comparison evaluation method has deviation. The method comprises the following steps: firstly, calculating a relative habitat quality index CRHQ under the common influence of natural and artificial factors; calculating a relative habitat quality index NRHQ under the influence of a single natural factor; and finally subtracting the relative habitat quality index under the influence of the single natural factor from the relative habitat quality index under the influence of the natural factor and the human factor together to obtain a relative habitat quality index HRHQ under the influence of the single human factor. The invention improves accuracy in comparison and evaluation of biodiversity and other ecological system function protection effects, and can be used in the field of ecological protection.
Description
Technical Field
The invention relates to a regional contrast evaluation method for biodiversity protection effect.
Background
Biodiversity protection is an important means for realizing sustainable development of an ecological system, and scientific evaluation of biodiversity protection effect is a basis for balanced development and protection, and is important for promoting harmonious development of people and nature.
The Chinese patent with the application number of CN201810146386.5, namely the wetland biodiversity protection achievement area comparison and assessment method based on the reference standard, subtracts the habitat quality index of the assessment area from the habitat quality index of the reference area on the basis of constructing the habitat quality reference standard to generate a relative habitat quality index, and can realize the area comparison and assessment of biodiversity protection achievement. However, the above-mentioned relative habitat quality index varies under the influence of the doping natural factor. The ecological environment is generally interfered by natural factors and artificial factors together, and the protection effect refers to the degree that the ecological function is improved by implementing related protection policies by human beings, so that the conclusion obtained by the existing comparison and evaluation method for the wetland biodiversity protection effect area based on the reference can not reflect the implementation effect of implementing biodiversity protection work by the real human beings, and the evaluation result has deviation.
Disclosure of Invention
The invention aims to solve the technical problem that the existing biological diversity protection effect area comparison and evaluation method has deviation, and provides the area comparison and evaluation method for eliminating the biological diversity protection effect influenced by natural factors.
The regional comparison evaluation method for eliminating the biodiversity protection effect influenced by natural factors comprises the following steps:
step one, calculating the relative habitat quality index under the common influence of natural and artificial factors:
In InVEST model software, respectively calculating estimated zone habitat quality grid data at the beginning and ending of an estimated period; respectively carrying out region average processing on the habitat quality grid data at the beginning and ending time under the GIS software environment to obtain the habitat quality indexes of the evaluation areas in the earlier stage and the later stage; and finally, subtracting the quality index of the metahabitat from the quality index of the metahabitat to obtain the relative quality index of the metahabitat under the common influence of natural and human factors, wherein the formula is as follows:
CRHQ＝EHQb-EHQa (1)
wherein CRHQ is the relative habitat quality index under the combined influence of natural and human factors;
EHQ a is the pre-evaluation zone habitat quality index;
EHQ b is the post-evaluation zone habitat quality index;
Step two, calculating the relative habitat quality index under the influence of a single natural factor:
Determining a reference area of the evaluation area, and extracting land utilization grid data of the reference area; in InVEST model software, respectively calculating the habitat quality grid data of the reference areas at the beginning and ending time of the evaluation period; respectively carrying out region average processing on the habitat quality grid data at the beginning and ending time under the GIS software environment to obtain habitat quality indexes of the early-stage reference region and the later-stage reference region; and finally, subtracting the quality index of the metahabitat from the quality index of the metahabitat to obtain the quality index of the relative metahabitat under the influence of a single natural factor, wherein the formula is as follows:
NRHQ＝RHQb-RHQa (2)
wherein NRHQ is the relative habitat quality index under the influence of a single natural factor;
RHQ a is the quality index of the habitat of the early reference area;
RHQ b is the quality index of the later-stage reference zone habitat;
step three, calculating the relative habitat quality index under the influence of a single human factor:
Inputting the relative habitat quality index under the influence of the natural factors and the human factors together and the relative habitat quality index under the influence of the single natural factor into a formula (3) to obtain the relative habitat quality index under the influence of the single human factor, wherein the formula is as follows:
HRHQ＝CRHQ-NRHQ (3)
wherein HRHQ is the relative habitat quality index under the influence of a single human factor.
Further, the method for determining the reference area in the second step is as follows: marking an area of internal restricted human activity inside the assessment area; the reference area is located inside the assessment area, and the reference area and the assessment area are affected by natural factors to the same extent.
Furthermore, the habitat quality grid data of step one is generated by inputting the ecological land grid data and its habitat fitness factor weights into a model InVEST of a threat sensitivity quantization table, ecological threat factor grid data and its threat fitness factor weights table.
Further, the area averaging process in the first step is: in GIS software, according to the vector range of the evaluation area, summing up the quality of each grid habitat in the evaluation area in the habitat quality grid data and dividing the quality by the number of grids to obtain the habitat quality index after the area average processing.
Further, the area averaging process in the second step is: in GIS software, according to the vector range of the reference area, summing up the quality of each grid habitat in the reference area in the habitat quality grid data and dividing the quality by the number of grids to obtain the habitat quality index after the area average processing.
According to the regional comparison assessment method for eliminating the biodiversity protection effect influenced by the natural factors, the relative habitat quality index difference value (the habitat quality index change under the influence of the natural factors) of the reference region is used, then the relative habitat quality index difference value (the habitat quality index change under the influence of the natural factors) of the assessment region is calculated, and finally the relative habitat quality index under the influence of a single human factor is obtained by carrying out difference between the reference region and the reference region. The influence of natural factors is removed, the habitat quality index can reflect the implementation effect of the actual human implementation of the biodiversity protection work, the evaluation result is accurate, and meanwhile, the biodiversity protection effect space comparison evaluation method system is perfected. Can be used in the field of ecological protection.
Detailed Description
The following examples are used to demonstrate the benefits of the present invention.
Example 1: the area comparison evaluation method for eliminating the biodiversity protection effect influenced by natural factors in the embodiment is carried out according to the following steps:
step one, calculating the relative habitat quality index under the common influence of natural and artificial factors:
In InVEST model software, respectively inputting ecological land grid data of important ecological functional areas in the West Yunnan mountain area and the West Huidos-Helan mountain area-the Yinshan Mountains in 1990 and 2015 and data of a threat sensitivity quantization table, ecological threat factor grid data and a threat factor weight table thereof, and outputting the habitat quality grid data of the two important ecological functional areas in 1990 and 2015; in ArcGIS software environment, regional average processing is carried out on the habitat quality grid data of two important ecological functional areas in 1990 and 2015 respectively, namely, in GIS software, according to the vector range of the important ecological functional areas, the habitat quality of each grid in the important ecological functional areas is added and divided by the grid number in the habitat quality grid data, the habitat quality indexes of the two important ecological functional areas after average processing in 1990 and 2015 are obtained, as shown in table 1, finally, the habitat quality indexes in 2015 and 1990 are subtracted to obtain the relative habitat quality index CRHQ under the common influence of natural and human factors, and the relative habitat quality index CRHQ is-0.005 and-0.016 respectively.
Table 1 quality indices of important ecological functional areas in 1990 and 2015
Step two, calculating the relative habitat quality index under the influence of a single natural factor:
Determining a national natural protection area core area inside an important ecological functional area as a reference area, and extracting land utilization grid data of the natural protection area core area inside the important ecological functional area of the West Yunnan mountain land and the West Huidos-Helan mountain-the Yinshan Mountains in 1990 and 2015; in InVEST model software, respectively inputting ecological land grid data and habitat suitability factor weight of the two-stage core area, threat sensitivity quantization table, ecological threat factor grid data and threat degree factor weight table and other data, and outputting habitat quality grid data of the core area in 1990 and 2015; in the ArcGIS software environment, carrying out area average processing on the habitat quality grid data, namely adding and dividing each grid habitat quality in the core area by the number of grids in the habitat quality grid data according to the vector range of the core area in the GIS software to obtain the habitat quality indexes of the two-period core area after the area average processing, wherein the habitat quality indexes are shown in a table 2; then, subtracting the quality index of the habitat in 2015 from the quality index of the habitat in 1990 to obtain a relative quality index NRHQ of the habitat under the influence of a single natural factor, wherein NRHQ is 0.007 and-0.004 respectively.
TABLE 2 quality index of natural protective zone core zone habitat in important ecological functional zone in 1990 and 2015
Step three, calculating the relative habitat quality index under the influence of a single human factor:
Inputting the relative habitat quality index under the common influence of natural factors and human factors and the relative habitat quality index under the influence of a single natural factor into a formula (3) HRHQ = CRHQ-NRHQ to obtain a relative habitat quality index HRHQ under the influence of a single human factor, as shown in a table 3, wherein the relative habitat quality index HRHQ under the influence of a single human factor of two important ecological functional areas in 1990-2015 is-0.012, the biodiversity protection effect of the two ecological functional areas is the same, and the habitat quality indexes under the influence of human factors are all shown as a descending trend.
TABLE 3 relative habitat quality index under the influence of Single human factor in important ecological functional areas of 1990 and 2015
Compared with the relative habitat quality index obtained by only utilizing the habitat quality index of the important ecological functional area and the habitat quality reference standard difference value of the core area, the area comparison evaluation method for eliminating the biodiversity protection effect influenced by the natural factors eliminates the habitat quality change under the influence of the natural factors, and can reflect the implementation effect of implementing biodiversity protection work by real human beings.
Claims (5)
1. The regional contrast evaluation method for eliminating the biological diversity protection effect influenced by natural factors is characterized by comprising the following steps of:
step one, calculating the relative habitat quality index under the common influence of natural and artificial factors:
In InVEST model software, respectively calculating estimated zone habitat quality grid data at the beginning and ending of an estimated period; respectively carrying out region average processing on the habitat quality grid data at the beginning and ending time under the GIS software environment to obtain the habitat quality indexes of the evaluation areas in the earlier stage and the later stage; and finally, subtracting the quality index of the metahabitat from the quality index of the metahabitat to obtain the relative quality index of the metahabitat under the common influence of natural and human factors, wherein the formula is as follows:
CRHQ＝EHQb-EHQa (1)
wherein CRHQ is the relative habitat quality index under the combined influence of natural and human factors;
EHQ a is the pre-evaluation zone habitat quality index;
EHQ b is the post-evaluation zone habitat quality index;
Step two, calculating the relative habitat quality index under the influence of a single natural factor:
Determining a reference area of the evaluation area, and extracting land utilization grid data of the reference area; in InVEST model software, respectively calculating the habitat quality grid data of the reference areas at the beginning and ending time of the evaluation period; respectively carrying out region average processing on the habitat quality grid data at the beginning and ending time under the GIS software environment to obtain habitat quality indexes of the early-stage reference region and the later-stage reference region; and finally, subtracting the quality index of the metahabitat from the quality index of the metahabitat to obtain the quality index of the relative metahabitat under the influence of a single natural factor, wherein the formula is as follows:
NRHQ＝RHQb-RHQa (2)
wherein NRHQ is the relative habitat quality index under the influence of a single natural factor;
RHQ a is the quality index of the habitat of the early reference area;
RHQ b is the quality index of the later-stage reference zone habitat;
step three, calculating the relative habitat quality index under the influence of a single human factor:
Inputting the relative habitat quality index under the influence of the natural factors and the human factors together and the relative habitat quality index under the influence of the single natural factor into a formula (3) to obtain the relative habitat quality index under the influence of the single human factor, wherein the formula is as follows:
HRHQ＝CRHQ-NRHQ (3)
wherein HRHQ is the relative habitat quality index under the influence of a single human factor.
2. The method for regional contrast assessment of biodiversity protection outcome eliminating natural factor effects according to claim 1, wherein the method for determining the reference region in step two is: an area in which human activities are strictly prohibited is marked in the evaluation area as a reference area.
3. The method for regional contrast assessment of biodiversity protection outcome eliminating natural factor effects according to claim 1 or 2, wherein the habitat quality raster data of step one is generated by inputting data of the ecological land raster data and its habitat fitness factor weight and threat sensitivity quantization table, the ecological threat factor raster data and its threat factor weight table into InVEST model.
4. The regional contrast evaluation method for eliminating natural factor-affected biodiversity protection outcomes of claim 1 or 2 wherein the regional averaging process in step one is: in GIS software, according to the vector range of the evaluation area, summing up the quality of each grid habitat in the evaluation area in the habitat quality grid data and dividing the quality by the number of grids to obtain the habitat quality index after the area average processing.
5. The regional contrast evaluation method for eliminating natural factor-affected biodiversity protection effect according to claim 1 or 2, wherein the regional averaging process in the step two is: in GIS software, according to the vector range of the reference area, summing up the quality of each grid habitat in the reference area in the habitat quality grid data and dividing the quality by the number of grids to obtain the habitat quality index after the area average processing.
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| US6119630A (en) * | 1997-05-26 | 2000-09-19 | 3042015 Nova Scotia Limited | Installation for in situ monitoring the quality of habitat of aquatic organisms |
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| CN108305204A (en) * | 2018-02-12 | 2018-07-20 | 中国科学院东北地理与农业生态研究所 | Wetland Biodiversity effectiveness regional correlation appraisal procedure based on basis of reference |
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Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US6119630A (en) * | 1997-05-26 | 2000-09-19 | 3042015 Nova Scotia Limited | Installation for in situ monitoring the quality of habitat of aquatic organisms |
| CN106228610A (en) * | 2016-07-25 | 2016-12-14 | 环境保护部南京环境科学研究所 | Restoration of the ecosystem partition method in conjunction with dominant eco-function Yu ecological degradation degree |
| CN108229859A (en) * | 2018-02-09 | 2018-06-29 | 中国环境科学研究院 | A kind of method and system of the key area of determining bio-diversity conservation |
| CN108305204A (en) * | 2018-02-12 | 2018-07-20 | 中国科学院东北地理与农业生态研究所 | Wetland Biodiversity effectiveness regional correlation appraisal procedure based on basis of reference |
Non-Patent Citations (1)
| Title |
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