A method, system and device for rapid evaluation of regional ecological benefits based on GIS

Abstract

The present invention provides a method, system and device for rapid evaluation of regional ecological benefits based on GIS, wherein the method comprises: obtaining basic data; wherein the basic data comprises: basic land use data, an ecosystem service value equivalent factor table and regional correction parameters; obtaining multiple grid blocks according to the basic data, calculating the values ​​of various ecosystem services of the grid blocks in the same region; correcting the various ecosystem service values ​​to obtain regional ecological benefit values; and performing rapid evaluation of regional ecological benefits according to the regional ecological benefit values. The present invention can perform rapid evaluation of regional ecological benefits, assist in the rapid correction and calculation process of ecosystem service values ​​in space, improve production efficiency, assist in understanding the equivalent factor method for calculating ecosystem service values, and realize rapid and dynamic monitoring and evaluation of regional ecological conditions and ecological benefits.

Description

Technical Field

[0001] The present invention relates to the technical field of ecological service evaluation, and in particular to a method, system and equipment for rapid evaluation of regional ecological benefits based on GIS. Background Art

[0002] Ecosystem service value assessment can scientifically quantify all the benefits provided by natural ecosystems to human society, characterize regional ecological benefits, and provide reference for national space ecological restoration performance assessment and regional ecological compensation mechanism. At present, there are four main methods for calculating the value of ecosystem services: biophysical model method, equivalent factor method, energy value analysis method, and statistical report method. Among them, the biophysical model method uses localized monitoring data and model parameters, and adopts an assessment model to calculate the quality of ecosystem services. The accounting accuracy is high, but the data requirements are high, and the calculators need to master a lot of professional knowledge in ecological mechanisms. At the same time, a single model is difficult to cover all types of ecosystem services; the equivalent factor method has less data requirements, is simple and easy to master, and is suitable for large-scale accounting. It uses spatial representation, but lacks model support and needs to be gradually brought into operation; the energy value analysis method can achieve the unification of the value dimensions of different categories of ecological services, but the theory still has defects, and the value quantification problem of energy value has not been solved; although the statistical report method has achieved the repeatability, comparability, and applicability of the accounting results, it is still in the exploratory stage and is not conducive to spatial representation and comparison. In summary, the current ecosystem service value assessment mostly adopts the equivalent factor method, and combines the calculation results with the dominant food crop yield in each region and the correction factor. Although this method can quickly calculate the ecosystem service value and characterize the ecological benefits, it requires researchers to gradually introduce parameter calculations, and there is currently a lack of relevant models for direct application. Summary of the invention

[0003] Based on this, it is necessary to provide a GIS-based regional ecological benefit rapid evaluation method, system and equipment to address the above technical issues.

[0004] A GIS-based rapid evaluation method for regional ecological benefits includes the following steps:

[0005] Obtain basic data, including basic land use data, ecosystem service value equivalent factor table and regional correction parameters;

[0006] Obtain multiple grid blocks based on the basic data, and calculate the value of various ecosystem services in the grid blocks in the same area;

[0007] The values ​​of various ecosystem services are corrected to obtain the regional ecological benefit value;

[0008] According to the regional ecological benefit value, a rapid evaluation of the regional ecological benefit is carried out.

[0009] In one embodiment, obtaining basic data includes:

[0010] The regional land use type and structure are obtained, and an ecosystem service value equivalent factor table is obtained according to the regional land use type and structure.

[0011] In one embodiment, obtaining a plurality of grid blocks according to the basic data includes:

[0012] A preset grid size is obtained, and a plurality of grid blocks are obtained according to the preset grid size and the basic land use data.

[0013] In one embodiment, calculating the value of each ecosystem service of a grid block in the same region includes:

[0014] Calculate the value of ecosystem services:

[0015]

[0016]

[0017] Where D represents the ecosystem service value per unit equivalent factor, a represents the dominant food crop type in the study area, i represents the i-th crop, S i represents the proportion of the i-th crop planting area; Q i represents the yield of the i-th crop; P i represents the average price of the i-th crop; C nm represents the ecosystem service value coefficient per unit area of ​​the mth ecosystem service of the nth land use type; d nm It represents the equivalent factor of the ecosystem service value of the mth item of the nth land use type;

[0018] The ecosystem service values ​​of each grid block in the same region are calculated by using the ecosystem service value:

[0019]

[0020]

[0021] Among them, ESV nm represents the value of the mth ecosystem service of the nth land use type, Q represents the grain yield per unit area of ​​farmland in the study area, represents the national grain output per unit area of ​​farmland, S n represents the area of ​​the nth land use type, C nmIt represents the ecosystem service value coefficient per unit area of ​​the mth ecosystem service of the nth land use type. ESV represents the total ecosystem service value of the grid block in the same area. b represents the type of land use in the study area. n represents the nth land use type. m represents the mth ecosystem service type.

[0022] In one embodiment, the ecosystem service values ​​are corrected to obtain the regional ecological benefit value including:

[0023] Obtaining a regional index factor, and obtaining a typical impact factor according to the regional index factor;

[0024] Based on the typical influencing factors, a correction model for the influencing factors of ecosystem service value is established;

[0025] The regional ecological benefit value is obtained according to the ecosystem service value influencing factor correction model and the ecosystem service values.

[0026] In one embodiment, establishing an ecosystem service value impact factor correction model based on the typical impact factors includes:

[0027] The correction model of the factors affecting the value of ecosystem services is as follows:

[0028]

[0029]

[0030] Among them, F l represents the ecosystem service value correction coefficient corresponding to the lth grid block under the influence of the positive impact factor, F l ′ represents the ecosystem service value correction coefficient corresponding to the lth grid block under the influence of negative impact factors, R l Indicates the value of the modified impact factor of the lth grid block, Represents the national average of the current impact factor.

[0031] In one embodiment, according to the ecosystem service value influencing factor correction model and the ecosystem service values, the regional ecological benefit value is obtained, including:

[0032] Obtaining a revised ecosystem service value based on the ecosystem service value revision coefficient and the ecosystem service values;

[0033] According to the revised ecosystem service value, the regional ecological benefit is obtained.

[0034] In one embodiment, the regional ecological benefits obtained according to the revised ecosystem service value include:

[0035] According to the revised ecosystem service value, the regional single item and overall ecosystem service value are obtained;

[0036] The regional characteristics are obtained, and the regional ecological benefits are obtained according to the regional characteristics and the value of individual and overall ecosystem services in the region.

[0037] A GIS-based regional ecological benefit rapid evaluation system is used to implement the above-mentioned GIS-based regional ecological benefit rapid evaluation method, including:

[0038] The data acquisition module is used to acquire basic data, wherein the basic data include: basic land use data, ecosystem service value equivalent factor table and regional correction parameters;

[0039] A value calculation module, used to obtain multiple grid blocks according to the basic data, and calculate the value of various ecosystem services of the grid blocks in the same area;

[0040] The benefit calculation module is used to correct the value of each ecosystem service to obtain the regional ecological benefit value;

[0041] The benefit evaluation module is used to perform a rapid evaluation of regional ecological benefits based on the regional ecological benefit value.

[0042] A device includes a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the program, the steps of a method for rapid evaluation of regional ecological benefits based on GIS described in the above-mentioned embodiments are implemented.

[0043] Compared with the prior art, the advantages and beneficial effects of the present invention are: the present invention can conduct rapid evaluation of regional ecological benefits, assist in the rapid spatial correction and measurement process of ecosystem service value, improve production efficiency, assist in understanding the equivalent factor method for calculating ecosystem service value, and realize rapid and dynamic monitoring and evaluation of regional ecological conditions and ecological benefits. BRIEF DESCRIPTION OF THE DRAWINGS

[0044] Figure 1 A schematic diagram of a flow chart of a method for rapid evaluation of regional ecological benefits based on GIS in one embodiment;

[0045] Figure 2 A schematic diagram of the structure of a GIS-based regional ecological benefit rapid evaluation system in one embodiment;

[0046] Figure 3 Schematic diagram of the internal structure of a device in one embodiment. DETAILED DESCRIPTION

[0047] Before describing the specific embodiments of the present invention, the overall concept of the present invention is described as follows:

[0048] The present invention is mainly developed for the process of ecological protection and restoration. At present, the ecosystem service value assessment mostly adopts the equivalent factor method, and combines the dominant food crop yields in each region with the correction factor to correct the measurement results. Although this method can quickly calculate the ecosystem service value and characterize the ecological benefits, it requires researchers to gradually introduce parameter calculations, and there is currently a lack of direct application of relevant models.

[0049] Therefore, the present invention proposes a regional ecological benefit rapid evaluation method based on GIS. After obtaining the basic data, multiple grid blocks are obtained according to the segmentation of the basic data, and then the ecosystem service values ​​of the grid blocks in the same area are calculated, and then the ecosystem service values ​​are corrected to obtain the regional ecological benefit value. According to the regional ecological benefit value, the regional ecological benefit rapid evaluation can be carried out, and the rapid correction and calculation process of the ecosystem service value in space is assisted, the production efficiency is improved, and the equivalent factor method is used to calculate the ecosystem service value to realize the rapid and dynamic monitoring and evaluation of the regional ecological status and ecological benefits.

[0050] After introducing the overall concept of the present invention, in order to make the purpose, technical solution and advantages of the present invention more clearly understood, the present invention is further described in detail below through specific implementation methods in conjunction with the accompanying drawings.

[0051] It should be noted that, unless otherwise defined, the technical terms or scientific terms used in one or more embodiments of this specification should be understood by people with ordinary skills in the field to which the present invention belongs. The words "first", "second" and similar words used in one or more embodiments of this specification do not indicate any order, quantity or importance, but are only used to distinguish different components. "Include" or "comprise" and similar words mean that the elements or objects appearing before the word include the elements or objects listed after the word and their equivalents, without excluding other elements or objects. "Connect" or "connected" and similar words are not limited to physical or mechanical connections, but may include electrical connections, whether direct or indirect. "Up", "down", "left", "right" and the like are only used to indicate relative positional relationships. When the absolute position of the described object changes, the relative positional relationship may also change accordingly.

[0052] In one embodiment, Figure 1 As shown in the figure, a GIS-based rapid evaluation method for regional ecological benefits is provided, which includes the following steps:

[0053] Step S101, obtaining basic data; wherein the basic data includes: basic land use data, ecosystem service value equivalent factor table and regional correction parameters.

[0054] Specifically, basic data such as land use basic data, ecosystem service value equivalent factor table and regional correction parameters are obtained, and regional ecological benefit values ​​are calculated based on the basic data. Among them, the basic land use data is vector data.

[0055] On this basis, basic data are obtained including:

[0056] The regional land use type and structure are obtained, and an ecosystem service value equivalent factor table is obtained according to the regional land use type and structure.

[0057] Specifically, the land use types and structures of different regions in the basic land use data are obtained, and an ecosystem service value equivalent factor table of eleven categories in four dimensions of supply, regulation, culture and support that are consistent with the regional land use types is prepared. The ecosystem service value equivalent factor table is shown in Table 1 below.

[0058]

[0059] Table 1 Service value coefficients of different ecosystems in the study area (yuan / ha)

[0060] Step S102, obtaining a plurality of grid blocks according to the basic data, and calculating the value of each ecosystem service of the grid blocks in the same area.

[0061] A plurality of grid blocks are obtained according to the basic data, including:

[0062] A preset grid size is obtained, and a plurality of grid blocks are obtained according to the preset grid size and the basic land use data.

[0063] Specifically, the preset grid size is obtained, and the area to be evaluated is divided according to the preset grid size to obtain multiple grid blocks. The preset grid size will determine the calculation accuracy. Relying on ArcGIS Pro Model Builder (Model Builder), add fields, calculate fields and convert features to raster tools in series to calculate the total value of various ecosystem services in the grid blocks of the same area. The calculation field process needs to be combined with Python coding to realize the assignment and calculation process of different land use types.

[0064] On this basis, the values ​​of various ecosystem services in the grid blocks of the same region are calculated, including:

[0065] Calculate the value of ecosystem services:

[0066]

[0067] C n, =D·d n,

[0068] Where D represents the ecosystem service value per unit equivalent factor, a represents the dominant food crop type in the study area, i represents the i-th crop, S i represents the proportion of the i-th crop planting area; Q i represents the yield of the i-th crop; P i represents the average price of the i-th crop; C nm represents the ecosystem service value coefficient per unit area of ​​the mth ecosystem service of the nth land use type; d nm It represents the equivalent factor of the ecosystem service value of the mth item of the nth land use type;

[0069] The ecosystem service values ​​of each grid block in the same region are calculated by using the ecosystem service value:

[0070]

[0071]

[0072] Among them, ESV nm represents the value of the mth ecosystem service of the nth land use type, Q represents the grain yield per unit area of ​​farmland in the study area, represents the national grain output per unit area of ​​farmland, S n represents the area of ​​the nth land use type, C nm It represents the ecosystem service value coefficient per unit area of ​​the mth ecosystem service of the nth land use type. ESV represents the total ecosystem service value of the grid block in the same area. b represents the type of land use in the study area. n represents the nth land use type. m represents the mth ecosystem service type.

[0073] Specifically, the total output value and planting area ratio of the dominant food crops in the region to be assessed are obtained from the basic land use data, and the ecosystem service value of the regional unit equivalent factor is calculated:

[0074]

[0075] C nm =D·d nm

[0076] D represents the value of ecosystem services per unit equivalent factor (yuan / hm2) 2 ), a represents the dominant food crop type in the study area, i represents the i-th crop, S i represents the proportion of the i-th crop planting area; Q irepresents the yield of the i-th crop (kg / hm 2 );P i represents the average price of the i-th crop (yuan / kg); C nm The ecosystem service value coefficient per unit area of ​​the mth ecosystem service of the nth land use type (yuan / hm2) 2 );d nm It represents the equivalent factor of the ecosystem service value of the mth item of the nth land use type;

[0077] From the basic land use data, we can obtain the farmland yield and preliminarily calculate the total value of each ecosystem service in the grid block of the same region:

[0078]

[0079]

[0080] ESV nm represents the value of the mth ecosystem service of the nth land use type (yuan), Q represents the grain output per unit area of ​​farmland in the study area (yuan), represents the national grain output per unit area of ​​farmland, S n Indicates the area of ​​the nth land use type (hm 2 ), C nm It represents the ecosystem service value coefficient per unit area of ​​the mth ecosystem service of the nth land use type. ESV represents the total ecosystem service value of the grid block in the same area. b represents the type of land use in the study area. n represents the nth land use type. m represents the mth ecosystem service type, with a total of 11 types.

[0081] Step S103, correcting the ecosystem service value to obtain a regional ecological benefit value.

[0082] Specifically, the ecosystem value is corrected by combining influencing factors such as net primary productivity (NPP), precipitation, and soil erosion. The different correction factors are shown in Table 2.

[0083]

[0084] Table 2 Ecosystem service types modified by different correction factors

[0085] On this basis, the values ​​of various ecosystem services are revised to obtain the regional ecological benefit values, including:

[0086] Obtaining a regional index factor, and obtaining a typical impact factor according to the regional index factor;

[0087] Based on the typical influencing factors, a correction model for the influencing factors of ecosystem service value is established;

[0088] The regional ecological benefit value is obtained according to the ecosystem service value influencing factor correction model and the ecosystem service values.

[0089] Specifically, we will conduct correlation analysis to identify the regional indicator factors that affect the value of each ecosystem service in the region to be evaluated. We will extract typical influencing factors for future use. Based on the typical influencing factors, we will establish a correction model for the influencing factors of the ecosystem service value. Based on the correction model for the influencing factors of the ecosystem service value, we can calculate the regional ecological benefit value.

[0090] On this basis, according to the typical influencing factors, the ecosystem service value influencing factor correction model is established, including:

[0091] The correction model of the factors affecting the value of ecosystem services is as follows:

[0092]

[0093]

[0094] Among them, F l represents the ecosystem service value correction coefficient corresponding to the lth grid block under the influence of the positive impact factor, F l ′ represents the ecosystem service value correction coefficient corresponding to the lth grid block under the influence of negative impact factors, R l Indicates the value of the modified impact factor of the lth grid block, Represents the national average of the current impact factor.

[0095] Specifically, the value of individual ecosystem services is revised by combining influencing factors such as net primary productivity (NPP), precipitation, and soil erosion.

[0096] The correction model of ecosystem service value influencing factors can be divided into positive and negative influencing factors to construct the correction model of ecosystem service value influencing factors:

[0097] If it is a positive factor:

[0098] If it is a negative factor:

[0099] In the formula, F l represents the ecosystem service value correction coefficient corresponding to the lth grid block under the influence of the positive impact factor, F l ′ represents the ecosystem service value correction coefficient corresponding to the lth grid block under the influence of negative impact factors, R l Indicates the value of the modified impact factor of the lth grid block, Represents the national average of the current impact factor.

[0100] On this basis, according to the ecosystem service value influencing factor correction model and the ecosystem service values, the regional ecological benefit values ​​are obtained, including:

[0101] Obtaining a revised ecosystem service value based on the ecosystem service value revision coefficient and the ecosystem service values;

[0102] According to the revised ecosystem service value, the regional ecological benefits are obtained. On this basis, according to the revised ecosystem service value, the regional ecological benefits include:

[0103] According to the revised ecosystem service value, the regional single item and overall ecosystem service value are obtained;

[0104] Regional characteristics are obtained, and regional ecological benefits are obtained according to the regional characteristics.

[0105] Specifically, the ecosystem service value correction coefficient can be calculated according to the correction model of the ecosystem service value influencing factors. Based on the calculated ecosystem service value correction coefficient, the ArcGIS Pro model builder (Model Builder) is used to iterate the raster calculator twice to update the total ecosystem service value and obtain the corrected ecosystem service value.

[0106] The revised ecosystem service values ​​are sorted out to obtain the regional individual and overall ecosystem service values, and the regional ecological benefit values ​​are selected based on regional characteristics. The key ecosystem service values ​​represent the ecological benefits of the implementation of major ecological restoration projects.

[0107] In this embodiment, the tool is constructed based on the Model Builder and Python 3 environment provided by ArcGIS Pro, and can be used normally as an extension tool of ArcGIS Pro.

[0108] Step S104: Perform a rapid evaluation of the regional ecological benefit based on the regional ecological benefit value.

[0109] Specifically, the regional ecological benefit value can be used to characterize the ecological benefit. According to the equivalent factor method of the dominant food crops and farmland yield, the eleven types of regional ecological benefit values ​​of different land types after regional correction are obtained. Through this regional ecological benefit value, a rapid evaluation of regional ecological benefits can be carried out.

[0110] The present invention provides a GIS-based regional ecological benefit rapid evaluation method, which forms an ecosystem service value toolbox by integrating the spatial measurement process. Users only need to simply input basic data and model parameters to realize automatic data calculation and complete data iteration to avoid repeated operations.

[0111] Compared with the existing methods, the present invention relies on the equivalent factor method and introduces correction parameters and factors to construct a correction model of ecosystem service value influencing factors, which fills the gaps in the equivalent factor method model, improves the calculation accuracy, can fully spatially characterize various ecosystem service functions, and is simple and easy to master, suitable for large-scale accounting.

[0112] In terms of data processing, only the necessary input data and parameters need to be provided to automatically iterate and calculate the data, and the required ecosystem service value can be output according to demand. In addition, the corrected ecosystem service value can be output by combining the ecosystem service value influencing factor correction model.

[0113] In terms of visual display, the measurement results are raster data with adjustable raster accuracy, which is convenient for intuitively displaying the spatial differences in ecosystem service value and identifying key areas.

[0114] It should be noted that the method of the embodiment of the present invention can be performed by a single device, such as a computer or a server. The method of this embodiment can also be applied in a distributed scenario and completed by multiple devices cooperating with each other. In the case of such a distributed scenario, one of the multiple devices can only perform one or more steps in the method of the embodiment of the present invention, and the multiple devices will interact with each other to complete the described method.

[0115] It should be noted that some embodiments of the present invention are described above. Other embodiments are within the scope of the appended claims. In some cases, the actions or steps recorded in the claims can be performed in an order different from that in the above embodiments and still achieve the desired results. In addition, the processes depicted in the accompanying drawings do not necessarily require the specific order or continuous order shown to achieve the desired results. In some embodiments, multitasking and parallel processing are also possible or may be advantageous.

[0116] Based on the same inventive concept, corresponding to any of the above-mentioned embodiments and methods, the present invention also provides a GIS-based regional ecological benefit rapid evaluation system.

[0117] refer to Figure 2 The GIS-based regional ecological benefit rapid evaluation system comprises:

[0118] The data acquisition module 201 is used to acquire basic data; wherein the basic data includes: basic land use data, ecosystem service value equivalent factor table and regional correction parameters;

[0119] A value calculation module 202 is used to obtain multiple grid blocks according to the basic data and calculate the value of various ecosystem services of the grid blocks in the same area;

[0120] The benefit calculation module 203 is used to correct the value of each ecosystem service to obtain the regional ecological benefit value;

[0121] The benefit evaluation module 204 is used to perform a rapid evaluation of the regional ecological benefit according to the regional ecological benefit value.

[0122] For the convenience of description, the above device is described as being divided into various modules according to their functions. Of course, when implementing the present invention, the functions of each module can be implemented in the same or multiple software and / or hardware.

[0123] The device of the above embodiment is used to implement a corresponding GIS-based regional ecological benefit rapid evaluation method in any of the above embodiments, and has the beneficial effects of the corresponding method embodiment, which will not be repeated here.

[0124] Based on the same inventive concept, corresponding to any of the above-mentioned embodiments and methods, the present invention also provides an electronic device, including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein when the processor executes the program, a GIS-based regional ecological benefit rapid evaluation method as described in any of the above embodiments is implemented.

[0125] Figure 3 A more specific schematic diagram of the hardware structure of an electronic device provided in this embodiment is shown, and the device may include: a processor 1010, a memory 1020, an input / output interface 1030, a communication interface 1040, and a bus 1050. The processor 1010, the memory 1020, the input / output interface 1030, and the communication interface 1040 are connected to each other through the bus 1050 in the device.

[0126] The processor 1010 can be implemented by a general-purpose CPU (Central Processing Unit), a microprocessor, an application-specific integrated circuit (ASIC), or one or more integrated circuits, and is used to execute relevant programs to implement the technical solutions provided in the embodiments of this specification.

[0127] The memory 1020 may be implemented in the form of ROM (Read Only Memory), RAM (Random Access Memory), static storage device, dynamic storage device, etc. The memory 1020 may store an operating system and other application programs. When the technical solutions provided in the embodiments of this specification are implemented by software or firmware, the relevant program codes are stored in the memory 1020 and are called and executed by the processor 1010.

[0128] The input / output interface 1030 is used to connect the input / output module to realize information input and output. The input / output module can be configured in the device as a component (not shown in the figure), or it can be externally connected to the device to provide corresponding functions. The input device may include a keyboard, a mouse, a touch screen, a microphone, various sensors, etc., and the output device may include a display, a speaker, a vibrator, an indicator light, etc.

[0129] The communication interface 1040 is used to connect a communication module (not shown) to realize communication interaction between the device and other devices. The communication module can realize communication through a wired mode (such as USB, network cable, etc.) or a wireless mode (such as mobile network, WIFI, Bluetooth, etc.).

[0130] The bus 1050 includes a path that transmits information between the various components of the device (eg, the processor 1010, the memory 1020, the input / output interface 1030, and the communication interface 1040).

[0131] It should be noted that, although the above device only shows the processor 1010, the memory 1020, the input / output interface 1030, the communication interface 1040 and the bus 1050, in the specific implementation process, the device may also include other components necessary for normal operation. In addition, it can be understood by those skilled in the art that the above device may also only include the components necessary for implementing the embodiments of the present specification, and does not necessarily include all the components shown in the figure.

[0132] The electronic device of the above embodiment is used to implement a corresponding GIS-based regional ecological benefit rapid evaluation method in any of the above embodiments, and has the beneficial effects of the corresponding method embodiment, which will not be repeated here.

[0133] Those skilled in the art should understand that the discussion of any of the above embodiments is merely illustrative and is not intended to imply that the scope of the present invention (including the claims) is limited to these examples. Under the concept of the present invention, the technical features in the above embodiments or different embodiments may be combined, the steps may be implemented in any order, and there are many other variations of the different aspects of the embodiments of the present invention as described above, which are not provided in detail for the sake of simplicity.

[0134] Any process or method description in a flowchart or otherwise described herein may be understood to represent a module, segment or portion of code that includes one or more executable instructions for implementing the steps of a specific logical function or process, and the scope of the preferred embodiments of the present invention includes alternative implementations in which functions may not be performed in the order shown or discussed, including performing functions in a substantially simultaneous manner or in the reverse order depending on the functions involved, which should be understood by those skilled in the art to which the embodiments of the present invention belong.

[0135] In addition, when specific details are set forth to describe exemplary embodiments of the present invention, it is apparent to those skilled in the art that embodiments of the present invention can be implemented without or with variations in these specific details. Therefore, these descriptions should be considered illustrative rather than restrictive.

[0136] While the invention has been described in conjunction with specific embodiments thereof, many alternatives, modifications and variations of these embodiments will be apparent to those skilled in the art in light of the foregoing description.

[0137] The embodiments of the present invention are intended to cover all such substitutions, modifications and variations that fall within the broad scope of the appended claims. Therefore, any omissions, modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the embodiments of the present invention should be included in the protection scope of the present invention.

Claims

1. A GIS-based rapid evaluation method for regional ecological benefits, characterized in that: include: Obtain basic data, including basic land use data, ecosystem service value equivalent factor table and regional correction parameters; A plurality of grid blocks are obtained according to the basic data, and the ecosystem service values ​​of the grid blocks in the same region are calculated; wherein the ecosystem service values ​​of the grid blocks in the same region are calculated including: Calculate the value of ecosystem services: C nm =D·d nm Where D represents the ecosystem service value per unit equivalent factor, a represents the dominant food crop type in the study area, i represents the i-th crop, S i represents the proportion of the i-th crop planting area; Q i represents the yield of the i-th crop; P i represents the average price of the i-th crop; C nm represents the ecosystem service value coefficient per unit area of ​​the mth ecosystem service of the nth land use type; d nm It represents the equivalent factor of the ecosystem service value of the mth item of the nth land use type; The ecosystem service values ​​of each grid block in the same region are calculated by using the ecosystem service value: Among them, ESV nm represents the value of the mth ecosystem service of the nth land use type, Q represents the grain yield per unit area of ​​farmland in the study area, represents the national grain output per unit area of ​​farmland, S n represents the area of ​​the nth land use type, C nm represents the ecosystem service value coefficient per unit area of ​​the mth ecosystem service of the nth land use type, ESV represents the total ecosystem service value of the grid block in the same area, b represents the type of land use type in the study area, n represents the nth land use type, and m represents the mth ecosystem service type; The values ​​of various ecosystem services are corrected to obtain the regional ecological benefit value; Among them, the regional ecological benefit values ​​obtained by correcting the values ​​of various ecosystem services include: Obtaining a regional index factor, and obtaining a typical impact factor according to the regional index factor; Based on the typical influencing factors, a correction model of the influencing factors of ecosystem service value is established; Obtaining the regional ecological benefit value based on the ecosystem service value influencing factor correction model and the ecosystem service values; Based on the typical influencing factors, the revised model of ecosystem service value influencing factors is established, including: The correction model of the factors affecting the value of ecosystem services is as follows: Among them, F l represents the ecosystem service value correction coefficient corresponding to the lth grid block under the influence of the positive impact factor, F l ′ represents the ecosystem service value correction coefficient corresponding to the lth grid block under the influence of negative impact factors, R l Indicates the value of the modified impact factor of the lth grid block, It represents the national average of the current impact factor; According to the regional ecological benefit value, a rapid evaluation of the regional ecological benefit is carried out.

2. According to the GIS-based regional ecological benefit rapid evaluation method of claim 1, it is characterized in that: The acquisition of basic data includes: The regional land use type and structure are obtained, and an ecosystem service value equivalent factor table is obtained according to the regional land use type and structure.

3. According to the GIS-based regional ecological benefit rapid evaluation method of claim 1, it is characterized in that: The obtaining of a plurality of grid blocks according to the basic data comprises: A preset grid size is obtained, and a plurality of grid blocks are obtained according to the preset grid size and the basic land use data.

4. According to the GIS-based regional ecological benefit rapid evaluation method of claim 1, it is characterized in that: The regional ecological benefit value obtained according to the ecosystem service value influencing factor correction model and the ecosystem service values ​​includes: Obtaining a revised ecosystem service value based on the ecosystem service value revision coefficient and the ecosystem service values; According to the revised ecosystem service value, the regional ecological benefit is obtained.

5. According to the GIS-based regional ecological benefit rapid evaluation method of claim 1, it is characterized in that: The regional ecological benefits obtained according to the revised ecosystem service value include: According to the revised ecosystem service value, the regional single item and overall ecosystem service value are obtained; The regional characteristics are obtained, and the regional ecological benefits are obtained according to the regional characteristics and the value of individual and overall ecosystem services in the region.

6. A GIS-based regional ecological benefit rapid evaluation system, characterized in that: A GIS-based regional ecological benefit rapid evaluation method for realizing any one of claims 1 to 5, comprising: The data acquisition module is used to acquire basic data, wherein the basic data include: basic land use data, ecosystem service value equivalent factor table and regional correction parameters; The value calculation module is used to obtain multiple grid blocks according to the basic data and calculate the value of each ecosystem service of the grid blocks in the same area; wherein the calculation of the value of each ecosystem service of the grid blocks in the same area includes: Calculate the value of ecosystem services: C nm =D·d nm Where D represents the ecosystem service value per unit equivalent factor, a represents the dominant food crop type in the study area, i represents the i-th crop, S i represents the proportion of the i-th crop planting area; Q i represents the yield of the i-th crop; P i represents the average price of the i-th crop; C nm represents the ecosystem service value coefficient per unit area of ​​the mth ecosystem service of the nth land use type; d nm It represents the equivalent factor of the ecosystem service value of the mth item of the nth land use type; The ecosystem service values ​​of each grid block in the same region are calculated by using the ecosystem service value: Among them, ESV nm represents the value of the mth ecosystem service of the nth land use type, Q represents the grain yield per unit area of ​​farmland in the study area, represents the national grain output per unit area of ​​farmland, S n represents the area of ​​the nth land use type, C nm represents the ecosystem service value coefficient per unit area of ​​the mth ecosystem service of the nth land use type, ESV represents the total ecosystem service value of the grid block in the same area, b represents the type of land use type in the study area, n represents the nth land use type, and m represents the mth ecosystem service type; The benefit calculation module is used to correct the value of each ecosystem service to obtain the regional ecological benefit value; Among them, the regional ecological benefit values ​​obtained by correcting the values ​​of various ecosystem services include: Obtaining a regional index factor, and obtaining a typical impact factor according to the regional index factor; Based on the typical influencing factors, a correction model of the influencing factors of ecosystem service value is established; Obtaining the regional ecological benefit value based on the ecosystem service value influencing factor correction model and the ecosystem service values; Based on the typical influencing factors, the revised model of ecosystem service value influencing factors is established, including: The correction model of the factors affecting the value of ecosystem services is as follows: Among them, F l represents the ecosystem service value correction coefficient corresponding to the lth grid block under the influence of the positive impact factor, F l ′ represents the ecosystem service value correction coefficient corresponding to the lth grid block under the influence of negative impact factors, R l Indicates the value of the modified impact factor of the lth grid block, It represents the national average of the current impact factor; The benefit evaluation module is used to perform a rapid evaluation of regional ecological benefits based on the regional ecological benefit value.

7. A device comprising a memory, a processor and a computer program stored in the memory and executable on the processor, characterized in that: When the processor executes the computer program, the steps of the method according to any one of claims 1 to 5 are implemented.

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