Biodiversity protection effect area comparison evaluation method considering initial habitat difference

Abstract

The invention relates to the field of biodiversity protection effect region comparison evaluation methods, and discloses a biodiversity protection effect region comparison evaluation method considering initial habitat differences, which comprises the following steps: S1, calculating an absolute habitat quality change index; obtaining an absolute habitat quality change index of the evaluation area based on the habitat quality raster data at the initial stage of the time period and the habitat quality raster data at the last stage of the research time period; s2, calculating a recovery potential index, and obtaining habitat quality raster data of a long-time sequence of the reference area based on an InVEST model to obtain the recovery potential index; s3, calculating a biodiversity protection effect area contrast index considering initial habitat difference, and obtaining the biodiversity protection effect area contrast index considering recovery potential based on the absolute habitat quality change index of the evaluation area in the step S1 and the recovery potential index of the evaluation area in the step S2; according to the method, the technical problem that the initial habitat condition cannot be reflected in the prior art is solved.

Description

Technical Field

[0001] This invention relates to the field of regional comparative assessment methods for the effectiveness of biodiversity conservation, specifically a regional comparative assessment method for the effectiveness of biodiversity conservation that takes into account differences in initial habitats. Background Technology

[0002] Biodiversity conservation is a key approach to promoting harmonious coexistence between humans and nature, and the scientific and accurate assessment of its effectiveness forms an important foundation for policy-making. Comparative assessments of biodiversity conservation effectiveness in different regions are of great significance for optimizing fund allocation and improving the efficiency of conservation investments.

[0003] Chinese patent application CN201810146386.5, entitled "A Regional Comparative Assessment Method for Wetland Biodiversity Conservation Effectiveness Based on a Reference Benchmark," constructs a habitat quality reference benchmark and generates a relative habitat quality index by subtracting the habitat quality index of the assessment area from that of the reference area. This allows for a regional comparative assessment of the conservation effectiveness of different ecological functional zones. However, due to differences in natural endowments and human disturbances, the initial habitat conditions of ecological functional zones in different regions are not consistent, and this initial condition essentially reflects the different starting points for conservation in each region. Therefore, existing regional comparative assessment methods for wetland biodiversity conservation effectiveness based on reference benchmarks may underestimate or overestimate the actual conservation effectiveness in areas with significant differences in initial habitat. Based on these shortcomings, this invention proposes a regional comparative assessment method for biodiversity conservation effectiveness that takes into account differences in initial habitat. Summary of the Invention

[0004] The purpose of this invention is to provide a method for regional comparative evaluation of biodiversity conservation effectiveness that takes into account differences in initial habitats, in order to solve the problems mentioned in the background art.

[0005] To achieve the above objectives, the present invention provides the following technical solution: a method for regional comparative assessment of biodiversity conservation effectiveness taking into account initial habitat differences, comprising the following steps:

[0006] Step S1: Calculation of absolute habitat quality change index. Based on the InVEST model, the habitat quality raster data at the beginning and end of the study period are calculated to obtain the absolute habitat quality change index of the assessment area.

[0007] Step S2: Calculate the recovery potential index. Select a reference area and obtain long-term habitat quality raster data of the reference area based on the InVEST model to obtain the recovery potential index.

[0008] Step S3: Calculate the regional comparison index of biodiversity conservation effectiveness taking into account initial habitat differences. Based on the absolute habitat quality change index of the assessment area in Step S1 and the restoration potential index of the assessment area in Step S2, the regional comparison index of biodiversity conservation effectiveness taking into account restoration potential is obtained.

[0009] As a preferred embodiment, the specific process for calculating the absolute habitat quality change index in step S1 is as follows: Based on the InVEST model, calculate the habitat quality raster data at the beginning and end of the study period; and use the Zonal Static function in ArcGIS software to statistically evaluate the average value of the initial habitat quality in the assessment area. and the average quality of habitat at the end of the period Finally, by subtracting the average habitat quality index at the end of the assessment period from the average habitat quality index at the beginning of the assessment period, the absolute habitat quality change index of the assessment area is obtained, as shown in equation (1).

[0010] (1)

[0011] In the formula, This is an index representing absolute habitat quality change. The average value of the initial habitat quality index of the assessment area. This represents the average value of the habitat quality index at the end of the assessment period for the assessment area.

[0012] As a preferred embodiment, the specific process for calculating the restoration potential index in step S2 is as follows: First, select an area within the ecological functional zone that is less affected by human disturbance as a reference area; second, obtain long-term habitat quality raster data of the reference area based on the InVEST model; then, use the Zonal Static function in ArcGIS software to statistically analyze the maximum value of the long-term habitat quality of the reference area as a benchmark index. Finally, the average of the baseline index and the initial habitat quality index will be used as a reference. Subtracting them yields the recovery potential index. Specifically, as shown in equation (2),

[0013] (2)

[0014] In the formula, To restore the potential index, As a reference benchmark index, This represents the average habitat quality index at the beginning of the study period.

[0015] As a preferred option, the specific process for calculating the regional comparison index of biodiversity conservation effectiveness taking into account initial habitat differences in step S3 is as follows: the absolute habitat quality change index and restoration potential index of the assessment area are input into equation (3) to obtain the regional comparison index of biodiversity conservation effectiveness taking into account restoration potential, specifically,

[0016] (3)

[0017] In the formula, A regional comparative index for biodiversity conservation effectiveness that takes into account differences in initial habitats. This represents the absolute habitat quality change index for ecological functional zones. To restore the potential index.

[0018] Compared with the prior art, the beneficial effects of this invention are as follows:

[0019] The method of this invention eliminates the influence of different conservation starting points in each functional zone by taking into account the differences in initial habitats between regions, making the comparison of conservation effectiveness between regions more fair and scientific. Attached Figure Description

[0020] Figure 1 This is a flowchart of the method of the present invention;

[0021] Figure 2 This is a habitat quality statistics chart according to an embodiment of the present invention. Detailed Implementation

[0022] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0023] Example

[0024] Please see Figure 1 The diagram illustrates a method for regional comparative assessment of biodiversity conservation effectiveness that takes into account differences in initial habitats. This method includes the following steps:

[0025] Step S1: Calculation of absolute habitat quality change index. Based on the InVEST model, the habitat quality raster data at the beginning and end of the study period are calculated to obtain the absolute habitat quality change index of the assessment area.

[0026] Step S2: Calculate the recovery potential index. Select a reference area and obtain long-term habitat quality raster data of the reference area based on the InVEST model to obtain the recovery potential index.

[0027] Step S3: Calculate the regional comparison index of biodiversity conservation effectiveness taking into account initial habitat differences. Based on the absolute habitat quality change index of the assessment area in Step S1 and the restoration potential index of the assessment area in Step S2, the regional comparison index of biodiversity conservation effectiveness taking into account restoration potential is obtained.

[0028] In this embodiment, the specific process of calculating the absolute habitat quality change index in step S1 is as follows: Based on the InVEST model, the habitat quality raster data at the beginning and end of the study period are calculated. The average value of the initial habitat quality in the assessment area is then statistically analyzed using the Zonal Static function in ArcGIS software. and the average quality of habitat at the end of the period Finally, by subtracting the average habitat quality index at the end of the assessment period from the average habitat quality index at the beginning of the assessment period, the absolute habitat quality change index of the assessment area is obtained, as shown in equation (1).

[0029] (1)

[0030] In the formula, This is an index representing absolute habitat quality change. The average value of the initial habitat quality index of the assessment area. This represents the average value of the habitat quality index at the end of the assessment period for the assessment area.

[0031] As a preferred embodiment, the specific process for calculating the restoration potential index in step S2 is as follows: First, select an area within the ecological functional zone that is less affected by human disturbance as a reference area; second, obtain long-term habitat quality raster data of the reference area based on the InVEST model; then, use the Zonal Static function in ArcGIS software to statistically analyze the maximum value of the long-term habitat quality of the reference area as a benchmark index. Finally, the average of the baseline index and the initial habitat quality index will be used as a reference. Subtracting them yields the recovery potential index. Specifically, as shown in equation (2),

[0032] (2)

[0033] In the formula, To restore the potential index, As a reference benchmark index, This represents the average habitat quality index at the beginning of the study period.

[0034] As a preferred option, the specific process for calculating the regional comparison index of biodiversity conservation effectiveness taking into account initial habitat differences in step S3 is as follows: the absolute habitat quality change index and restoration potential index of the assessment area are input into equation (3) to obtain the regional comparison index of biodiversity conservation effectiveness taking into account restoration potential, specifically,

[0035] (3)

[0036] In the formula, A regional comparative index for biodiversity conservation effectiveness that takes into account differences in initial habitats. This represents the absolute habitat quality change index for ecological functional zones. To restore the potential index.

[0037] Furthermore, to verify the effectiveness of the method of the present invention, the important ecological functional areas of the Qiangtang Plateau in Northwest Tibet and the important ecological functional areas of the Western Ordos-Helan Mountain-Yinshan Mountains were selected as assessment areas. Land use data from 1980, 1990, 1995, 2000, 2005, 2010, 2015, and 2020, along with threat factor scales and sensitivity measurement scales, were input into the InVEST habitat quality model to obtain data for 1980, 1990, 1995, 2000, 2005, 2010, 2015, and 2020. Habitat quality raster data for 2020; In ArcGIS software, the average habitat quality of the important ecological functional areas of the Qiangtang Plateau in Northwest Tibet and the Ordos-Helan Mountain-Yinshan Mountains in 2020 and 2010 was calculated. The habitat quality in 2020 was subtracted from that in 2010 to obtain the absolute habitat quality change index of the important ecological functional areas of the Qiangtang Plateau in Northwest Tibet and the Ordos-Helan Mountain-Yinshan Mountains from 2010 to 2020, which were 0.002 and 0.024, respectively.

[0038] In this embodiment, the core area of ​​a national nature reserve within a key ecological function zone is selected as the reference area. Based on the habitat quality raster data for 1980, 1990, 1995, 2000, 2005, 2010, 2015, and 2020 obtained in the previous step, the mean habitat quality of the reference areas in the important ecological function zones of the Qiangtang Plateau in Northwest Tibet and the Western Ordos-Helan Mountain-Yinshan Mountains from 1980 to 2020 is statistically analyzed using Zonal Statistic in ArcGIS. Figure 2 As shown, the maximum values ​​were selected as the reference benchmarks RCI, which were 0.7470 and 0.6854, respectively. Finally, according to Equation (2), the reference benchmarks of the ecological functional zones were subtracted from the average value of the initial habitat quality to obtain the restoration potential indexes of the important ecological functional zones of the Qiangtang Plateau in Northwest Tibet and the important ecological functional zones of the Western Ordos-Helan Mountain-Yinshan Mountains, which were 0.0101 and 0.1092, respectively.

[0039] Based on the absolute habitat quality change index and ecological function zone restoration potential index calculated above, the regional comparison index of biodiversity conservation effectiveness of ecological function zones taking into account restoration potential is calculated by formula (3), which is 0.4572 and 0.1454 respectively.

[0040] To verify the rationality of this embodiment, the biodiversity conservation effectiveness of ecological functional zones that take into account the initial habitat is compared with that that do not. As shown in Table 1, if the initial habitat is not considered, the conservation effectiveness indices of the important ecological functional zones of the Qiangtang Plateau in Northwest Tibet and the West Ordos-Helan Mountain-Yinshan Mountains are 0.0023 and 0.0356, respectively, which are underestimated by 76.86% and 67.39%. The regional comparative evaluation method for biodiversity conservation effectiveness that takes into account the differences in initial habitat proposed in this invention eliminates the influence of different conservation starting points in each functional zone by considering the differences in initial habitat between regions, making the comparison of conservation effectiveness between regions more fair and scientific.

[0041] Table 1. Comparison of Regional Biodiversity Conservation Effectiveness Indices between Ecological Function Zones Taking Initial Habitat into Consideration and Ecological Function Zones Not Taking Initial Habitat into Consideration

[0042] Names of Important Ecological Function Zones Regional Comparison Index of Biodiversity Conservation Effectiveness in Ecological Functional Zones Taking into Account Initial Habitat Regional Comparison Index of Biodiversity Conservation Effectiveness in Ecological Functional Zones Disregarding Initial Habitats The underestimation of the regional comparative index of biodiversity conservation effectiveness in ecological functional zones that disregard the original habitat Important ecological functional area of ​​Qiangtang Plateau in Northwest Tibet 0.0101 0.0023 76.86% Important ecological functional area of ​​West Ordos-Helan Mountain-Yin Mountain 0.1092 0.0356 67.39%

[0043] It should be noted that, in this invention, relational terms such as "first" and "second" are used merely to distinguish one entity or operation from another, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Furthermore, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such a process, method, article, or apparatus.

[0044] Although embodiments of the invention have been shown and described, it will be understood by those skilled in the art that various changes, modifications, substitutions and alterations can be made to these embodiments without departing from the principles and spirit of the invention, the scope of which is defined by the appended claims and their equivalents.

Claims

1. A method for comparative evaluation of biodiversity conservation effectiveness considering differences in initial habitats, characterized in that, Includes the following steps: Step S1: Calculation of absolute habitat quality change index. Based on the InVEST model, the habitat quality raster data at the beginning and end of the study period are calculated to obtain the absolute habitat quality change index of the assessment area. Step S2: Calculate the recovery potential index. Select a reference area and obtain long-term habitat quality raster data of the reference area based on the InVEST model to obtain the recovery potential index. Step S3: Calculate the regional comparison index of biodiversity conservation effectiveness taking into account initial habitat differences. Based on the absolute habitat quality change index of the assessment area in Step S1 and the restoration potential index of the assessment area in Step S2, the regional comparison index of biodiversity conservation effectiveness taking into account restoration potential is obtained.

2. The method for regional comparative evaluation of biodiversity conservation effectiveness taking into account initial habitat differences, as described in claim 1, is characterized in that: The specific process for calculating the absolute habitat quality change index in step S1 is as follows: Based on the InVEST model, the habitat quality raster data at the beginning and end of the study period are calculated. The average value of the initial habitat quality in the assessment area is then statistically analyzed using the Zonal Static function in ArcGIS software. and the average quality of habitat at the end of the period Finally, by subtracting the average habitat quality index at the end of the assessment period from the average habitat quality index at the beginning of the assessment period, the absolute habitat quality change index of the assessment area is obtained, as shown in equation (1). （1） In the formula, This is an index representing absolute habitat quality change. The average value of the initial habitat quality index of the assessment area. This represents the average value of the habitat quality index at the end of the assessment period for the assessment area.

3. The method for regional comparative evaluation of biodiversity conservation effectiveness taking into account initial habitat differences, as described in claim 2, is characterized in that: The specific process for calculating the restoration potential index in step S2 is as follows: First, a region within the ecological functional zone that is less affected by human disturbance is selected as a reference region; second, long-term habitat quality raster data of the reference region is obtained based on the InVEST model; then, the Zonal Static function in ArcGIS software is used to statistically analyze the maximum value of the long-term habitat quality of the reference region as a benchmark index. Finally, the average of the baseline index and the initial habitat quality index will be used as a reference. Subtracting them yields the recovery potential index. Specifically, as shown in equation (2), （2） In the formula, To restore the potential index, As a reference benchmark index, This represents the average habitat quality index at the beginning of the study period.

4. The method for regional comparative evaluation of biodiversity conservation effectiveness taking into account initial habitat differences, as described in claim 3, is characterized in that: The specific process for calculating the regional comparison index of biodiversity conservation effectiveness taking into account initial habitat differences in step S3 is as follows: The absolute habitat quality change index and restoration potential index of the assessment area are input into equation (3) to obtain the regional comparison index of biodiversity conservation effectiveness taking into account restoration potential. Specifically, （3） In the formula, A regional comparative index for biodiversity conservation effectiveness that takes into account differences in initial habitats. This represents the absolute habitat quality change index for ecological functional zones. To restore the potential index.

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