Ecological system service evaluation method, apparatus and device, and storage medium

Abstract

The invention provides an ecological system service evaluation method and device, equipment and a storage medium. The ecological system service evaluation method comprises the steps of obtaining a first regional service supply index and a first individual service perception index corresponding to each service index type of ecological system service in a target drainage basin; respectively carrying out linear normalization on a first regional service supply index and a first individual service perception index of the ecosystem service to obtain a second regional service supply index and a second individual service perception index respectively corresponding to each service index type of the ecosystem service in the target drainage basin; based on a second regional service supply index and a second individual service perception index corresponding to each service index type, determining a local index adaptation degree corresponding to each service index type; determining the overall index adaptation degree of the ecosystem service based on the local index adaptation degree; and the service evaluation of the ecosystem service is determined based on the overall index adaptation degree, so that the accuracy of ecosystem service evaluation is improved.

Description

Technical Field

[0001] The present application relates to the field of data processing technology, and in particular to an ecosystem service evaluation method, device, equipment and storage medium. Background Art

[0002] Ecosystem services (ES) refer to all the benefits that humans obtain from ecosystems, including provisioning services (such as the provision of food and water), regulating services (such as flood and disease control), cultural services (such as spiritual, recreational and cultural benefits), and supporting services (such as nutrient cycling that maintains the living environment of life on Earth). The Yellow River Basin (TRB) is an important energy, chemical, raw material and basic industrial base in China, providing a large number of ecosystem services to meet the needs within and outside the basin. However, the lack of corresponding management systems and assessment tools at the urban level in the basin, as well as the lack of effective public participation mechanisms, have hindered the realization of the goals of ecological environmental protection and high-quality development in the Yellow River Basin. How to coordinate the relationship between economic development goals and ecological and environmental protection is currently a key challenge for the development of the Yellow River Basin.

[0003] Among the related technologies, the research on ES is mainly carried out using the data of each macro-region in the basin, and mainly focuses on the evaluation of function or value, spatial distribution and flow characteristics analysis. These research results have been partially incorporated into local spatial planning and environmental management decisions, providing theoretical support for maintaining ecological balance. The quantitative research on macro-ES supply has deeply explored the spatial supply level of ES, and also tried to use the research results in ecological restoration and governance.

[0004] However, in the above methods, the richness of the ecosystem service data used is low, resulting in low accuracy in the evaluation of ecosystem services in the watershed. Summary of the invention

[0005] In view of the above problems, the embodiments of the present application provide an ecosystem service evaluation method, device, electronic device and readable storage medium to overcome the above problems or at least partially solve the above problems.

[0006] In a first aspect, an embodiment of the present application provides an ecosystem service evaluation method, the method comprising: Obtain the first regional service supply index and the first individual service perception index corresponding to each service indicator type of the ecosystem service in the target watershed; Linearly normalizing the first regional service supply index and the first individual service perception index of the ecosystem service to obtain second regional service supply indexes and second individual service perception indexes corresponding to each service indicator type of the ecosystem service in the target watershed; Determining the local indicator fitness corresponding to each service indicator type based on the second regional service supply indicator and the second individual service perception indicator corresponding to each service indicator type; Based on the overall indicator fitness, a service evaluation of the ecosystem service is determined.

[0007] Optionally, determining the service evaluation of the ecosystem service based on the overall indicator fitness includes: Determine the Spearman correlation coefficient between the second regional service supply index and the second individual service perception index corresponding to each service index type; Based on the Spearman correlation coefficient and the overall indicator fitness, a service evaluation of the ecosystem service is determined.

[0008] Optionally, determining the service evaluation of the ecosystem service based on the Spearman correlation coefficient and the overall indicator fitness includes: When the fitness of the overall indicator is greater than or equal to the first threshold and the Spearman correlation coefficient is greater than zero, the service evaluation of the ecosystem service is determined to be the first level; When the overall indicator fitness is less than the first threshold, or the Spearman correlation coefficient is less than zero, determining that the service evaluation is at the second level; wherein the second level is lower than the first level; When the overall indicator fitness is less than a first threshold and the Spearman correlation coefficient is less than zero, the service evaluation is determined to be at the third level; wherein the third level is lower than the second level.

[0009] Optionally, determining the service evaluation of the ecosystem service based on the overall indicator fitness includes: Determining a global Moran index of the ecosystem service based on the second regional service supply index and the second individual service perception index respectively corresponding to each service indicator type; Based on the global Moran's index and the overall indicator fitness, a service evaluation of the ecosystem service is determined.

[0010] Optionally, determining the service evaluation of the ecosystem service based on the global Moran's index and the overall indicator fitness includes: When the overall indicator fitness is greater than or equal to the first threshold and the global Moran's index is greater than zero, determining that the service evaluation of the ecosystem service is at the first level; When the overall indicator fitness is less than the first threshold, or the global Moran index is less than zero, determining that the service evaluation is the second level; When the overall indicator fitness is less than the first threshold and the global Moran's index is less than zero, the service evaluation is determined to be the third level.

[0011] Optionally, determining the service evaluation of the ecosystem service based on the overall indicator fitness includes: Determine, from the second regional service supply indicators and the second individual service perception indicators respectively corresponding to the various service indicator types, the third regional service supply indicators and the third individual service perception indicators respectively corresponding to the various regions within the target watershed; Based on the third regional service supply index and the third individual service perception index, respectively determine the first local Moran index corresponding to each of the regions; determining a second local Moran's index of the ecosystem service based on the first local Moran's index; Based on the second local Moran's index and the overall indicator fitness, a service evaluation of the ecosystem service is determined.

[0012] Optionally, determining the service evaluation of the ecosystem service based on the second local Moran's index and the overall indicator fitness includes: When the second local Moran's index is greater than zero and the overall indicator fitness is greater than or equal to a first threshold, determining that the service evaluation of the ecosystem service is at the first level; When the second local Moran's index is less than zero, or the overall indicator fitness is less than a first threshold, determining that the service evaluation of the ecosystem service is at the second level; When the second local Moran's index is less than zero and the overall indicator fitness is less than a first threshold, the service evaluation of the ecosystem service is determined to be the third level.

[0013] In a second aspect, an embodiment of the present application provides an ecosystem service evaluation device, the device comprising: An acquisition module, used for acquiring the first regional service supply index and the first individual service perception index corresponding to each service index type of the ecosystem service in the target watershed; a normalization module, used to linearly normalize the first regional service supply index and the first individual service perception index of the ecosystem service, respectively, to obtain a second regional service supply index and a second individual service perception index corresponding to each service indicator type of the ecosystem service in the target watershed; A first determination module, configured to determine the local indicator fitness corresponding to each service indicator type based on the second regional service supply indicator and the second individual service perception indicator corresponding to each service indicator type; A second determination module is used to determine the overall indicator fitness of the ecosystem service based on the local indicator fitness; The third determination module is used to determine the service evaluation of the ecosystem service based on the overall indicator fitness.

[0014] Optionally, the third determining module includes: A first determination submodule is used to determine the Spearman correlation coefficient between the second regional service supply index and the second individual service perception index corresponding to each service index type; The second determination submodule is used to determine the service evaluation of the ecosystem service based on the Spearman correlation coefficient and the overall indicator fitness.

[0015] Optionally, the second determining submodule includes: A first determination unit, configured to determine that the service evaluation of the ecosystem service is at the first level when the overall indicator fitness is greater than or equal to a first threshold and the Spearman correlation coefficient is greater than zero; A second determining unit is used to determine that the service evaluation is a second level when the overall indicator fitness is less than a first threshold or the Spearman correlation coefficient is less than zero; wherein the second level is lower than the first level; The third determination unit is used to determine that the service evaluation is a third level when the overall indicator fitness is less than a first threshold and the Spearman correlation coefficient is less than zero; wherein the third level is lower than the second level.

[0016] Optionally, the third determining module includes: A third determination submodule is used to determine the global Moran index of the ecosystem service based on the second regional service supply index and the second individual service perception index corresponding to each service indicator type; The fourth determination submodule is used to determine the service evaluation of the ecosystem service based on the global Moran's index and the overall indicator fitness.

[0017] Optionally, the fourth determining submodule includes: a fourth determination unit, configured to determine that the service evaluation of the ecosystem service is at the first level when the overall indicator fitness is greater than or equal to the first threshold and the global Moran's index is greater than zero; a fifth determining unit, configured to determine that the service evaluation is at the second level when the overall indicator fitness is less than a first threshold or the global Moran's index is less than zero; The sixth determination unit is used to determine that the service evaluation is at the third level when the overall indicator fitness is less than the first threshold and the global Moran's index is less than zero.

[0018] Optionally, the third determining module includes: A fifth determination submodule is used to determine the third regional service supply index and the third individual service perception index corresponding to each area in the target watershed from the second regional service supply index and the second individual service perception index corresponding to each service indicator type; A sixth determination submodule, configured to determine first local Moran's indexes corresponding to the respective regions based on the third regional service supply index and the third individual service perception index; a seventh determination submodule, for determining a second local Moran's index of the ecosystem service based on the first local Moran's index; An eighth determination submodule is used to determine the service evaluation of the ecosystem service based on the second local Moran's index and the overall indicator fitness.

[0019] Optionally, the eighth determining submodule includes: a seventh determination unit, configured to determine that the service evaluation of the ecosystem service is at a first level when the second local Moran's index is greater than zero and the overall indicator fitness is greater than or equal to a first threshold; an eighth determining unit, configured to determine that the service evaluation of the ecosystem service is at a second level when the second local Moran's index is less than zero or the overall indicator fitness is less than a first threshold; The ninth determination unit is used to determine that the service evaluation of the ecosystem service is at the third level when the second local Moran's index is less than zero and the overall indicator fitness is less than a first threshold.

[0020] In a third aspect, an embodiment of the present application provides an electronic device, comprising a memory, a processor, and a computer program stored in the memory, wherein the processor executes the computer program to implement the ecosystem service evaluation method as described in any one of the above.

[0021] In a fourth aspect, an embodiment of the present application provides a readable storage medium, on which a program or instruction is stored, and when the program or instruction is executed by a processor, an ecosystem service evaluation method as described in any one of the above is implemented.

[0022] The specific beneficial effects are: In the embodiment of the present application, the first regional service supply index and the first individual service perception index corresponding to each service indicator type of the ecosystem service in the target watershed are obtained; the first regional service supply index and the first individual service perception index of the ecosystem service are linearly normalized to obtain the second regional service supply index and the second individual service perception index corresponding to each service indicator type of the ecosystem service in the target watershed; based on the second regional service supply index and the second individual service perception index corresponding to each service indicator type, the local indicator fitness corresponding to each service indicator type is determined; based on the local indicator fitness, the overall indicator fitness of the ecosystem service is determined; based on the overall indicator fitness, the service evaluation of the ecosystem service is determined, and the local indicator fitness corresponding to each service indicator type can be determined through the regional service supply index and the individual service perception index corresponding to the ecosystem service, and the overall indicator fitness of the ecosystem service can be determined through the local indicator fitness, and finally the service evaluation of the ecosystem service can be determined through the overall indicator fitness. Since the service indicator combination of the regional service supply index and the individual service perception index is used, the richness of the data used for the ecosystem service evaluation is improved, and thus the accuracy of the ecosystem service evaluation can be improved to a certain extent. BRIEF DESCRIPTION OF THE DRAWINGS

[0023] In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings required for use in the description of the embodiments of the present application will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative labor.

[0024] Figure 1 It is a flow chart of an ecosystem service evaluation method provided in an embodiment of the present application; Figure 2 It is a schematic diagram of a regional service supply index and an individual service perception index that are associated with each other provided in an embodiment of the present application; Figure 3 This is a schematic diagram of quadrant classification evaluation corresponding to a supply indicator and a perception indicator provided in an embodiment of the present application; Figure 4 It is a flowchart of an ecosystem service evaluation and determination method provided in an embodiment of the present application; Figure 5 A flowchart of another method for determining ecosystem service evaluation provided in an embodiment of the present application; Figure 6 A flowchart of another method for determining ecosystem service evaluation provided in an embodiment of the present application; Figure 7 It is a flowchart of a specific implementation method of an ecosystem service evaluation method provided in an embodiment of the present application; Figure 8 It is a logic block diagram of an ecosystem service evaluation device provided in an embodiment of the present application; Fig. 9 It is a schematic diagram of an electronic device provided in an embodiment of the present application. DETAILED DESCRIPTION

[0025] The exemplary embodiments of the present application will be described in more detail below in conjunction with the accompanying drawings in the embodiments of the present application. Although the exemplary embodiments of the present application are shown in the accompanying drawings, it should be understood that the present application can be implemented in various forms and should not be limited by the embodiments set forth herein. On the contrary, these embodiments are provided in order to enable a more thorough understanding of the present application and to enable the scope of the present application to be fully communicated to those skilled in the art.

[0026] Reference Figure 1 , Figure 1 A flow chart of an ecosystem service evaluation method provided in an embodiment of the present application, the method comprising: Step 101: Obtain a first regional service supply indicator and a first individual service perception indicator corresponding to each service indicator type of the ecosystem service in the target watershed.

[0027] In an embodiment of the present application, the target basin can be a basin area in a geographical sense, and the target basin can contain multiple partitions (for example, partitions based on the scale of a city), and multiple partitions can correspond to different locations in the same basin. For example, if there are two partitions in the target basin, one of the partitions can be located upstream of the other partition. Ecosystem services (ES) refer to all the benefits that humans obtain from ecosystems, including supply services (such as providing food and water), regulation services (such as controlling floods and diseases), cultural services (such as spiritual, recreational and cultural benefits), and support services (such as maintaining the nutrient cycle of the earth's living environment). In the framework of ecosystem services, regional service supply refers to the ecosystem service content provided by the natural system to the social system, such as water supply, food supply, cultural and tourism value supply, etc., and individual service perception refers to the ecosystem service content perceived by individuals in the social system from the natural system, such as water perception (referring to the amount of water supply perceived by individuals), food perception, cultural and tourism value perception, etc. In ecosystem services, multiple service indicator types can be included. For example, the above-mentioned water supply-water perception can correspond to the water use service type, and food supply-food perception can correspond to the food service type, etc. On this basis, the first regional service supply index and the first individual service perception index corresponding to each service indicator type of ecosystem services in the target watershed can be obtained. For individual service perception indicators, they can be obtained through questionnaire surveys, and for regional service supply indicators, they can be obtained through the acquisition method corresponding to the service indicator type. For example, the Invest model can be used to calculate services such as water conservation, soil conservation, and water purification, and the equivalent factor method can be used to estimate services such as climate regulation and landscape value. All vector data that need to be input into the model calculation are reprojected to a unified geographic coordinate system (GCS_WGS_1984) and resampled to 500m*500m. For different ES calculations, biophysical tables are compiled, and the data are all referenced to the same or similar areas that have been published. Water conservation is based on the principle of water cycle. First, water production is calculated based on parameters such as precipitation, plant transpiration, surface evaporation, root depth, and soil depth. Then, on this basis, it is corrected using terrain index, soil saturated hydraulic conductivity, and flow velocity coefficient to obtain water conservation capacity. The calculation formula is as follows: (Formula 1) (Formula 2) (Formula 3) (Formula 4) (Formula 5) (Formula 6) (Formula 7) In Formula 1 to Formula 7, is the water conservation capacity (mm), is the flow rate coefficient, is the terrain index, is the saturated hydraulic conductivity of soil (cm / d), is the water production, is the number of catchment grids, is the soil depth (mm), is the percentage slope. is the clay content of soil (%), is the soil sand content (%), is the soil organic carbon content (%), is the soil bulk density (g / cm 3 ), For pixels The actual annual evapotranspiration in the (resampled area), For pixels The annual precipitation in It is a pixel The potential evapotranspiration in Non-physical parameters that characterize natural climate-soil properties, is the pixel The associated vegetation evapotranspiration coefficient, It is a pixel The reference evapotranspiration. It is a pixel Non-physical parameters that characterize natural climate-soil properties, is the volume content of available water in plants. It is a dimensionless constant with a value range of 1-30, reflecting the local precipitation pattern and hydrogeological characteristics.

[0028] The assessment of soil and water conservation is based on the sediment retention model of InVEST, and the result is obtained by subtracting the actual soil erosion (Ar) from the potential soil erosion (Ap). The calculation formula is: (Formula 8) In formula 8, and is the slope length factor, while C is the vegetation cover and management factor, and P is the soil conservation measures factor. is the soil water holding capacity (t·hm -2 ), which is determined by the potential soil erosion ( ) and actual soil erosion ( ). Limited by the detailed rainfall process data, R represents the rainfall erosion factor (MJ·mm·hm -2 ·h -1 ·yr-1 ), estimated from annual rainfall, is the soil erosion coefficient (t·ha·h·ha -1 ·MJ -1 mm -1 ), which can reflect the sensitivity of soil to erosion, and its calculation formula is as follows: (Formula 9) In the above formula 9, , , are the mass fractions of sand, silt and clay, respectively, is the mass fraction of organic carbon. In addition, water purification is based on the improved output coefficient method. The nutrient interception module takes into account the situation that nitrogen and phosphorus nutrients cannot completely enter the receiving water body due to interception and deposition during transportation, thereby simulating the spatial distribution of nitrogen and phosphorus nutrients flowing into river runoff. The specific calculation formula is as follows: (Formula 10) (Formula 11) In the above formula 10 and formula 11, is the load value adjusted for pixel x, is the output coefficient for pixel x, is the hydrological sensitivity score of pixel x. is the runoff coefficient of grid cell x, is the evaluation runoff coefficient in the basin. The climate regulation index and landscape value index can refer to the ecological service value equivalent factor method of Xie et al., that is, the ecosystem service value per unit area is multiplied by various land types. The initial data comes from the Resource and Environmental Science Data Center of the Chinese Academy of Sciences, as shown in Table 1 below: Table 1 Ecosystem service value equivalent per unit area

[0029] For example, Figure 2 As shown, Figure 2 A schematic diagram of a regional service supply indicator and an individual service perception indicator with an associated relationship provided for an embodiment of the present application. In the figure, the regional service supply indicator includes a water conservation supply indicator, a water supply indicator, and a climate regulation supply indicator, and the individual service perception indicator includes a water conservation perception indicator, a water perception indicator, and a climate regulation perception indicator; the dotted line in the figure represents an associated relationship, that is, a type of service indicator, for example, the water conservation supply indicator and the water conservation perception indicator connected by the dotted line correspond to the water conservation service, and the climate regulation supply indicator and the climate regulation perception indicator connected by the dotted line correspond to the climate regulation service, wherein the water conservation service and the climate regulation service are both service indicator types in the ecosystem service. Figure 2Only regional service supply indicators and individual service perception indicators of three service types are shown in the figure. However, there can be more than three service types of ecosystem services, which will not be shown one by one here.

[0030] Reference Figure 3 , Figure 3 A schematic diagram of quadrant classification evaluation corresponding to a supply index and a perception index provided in an embodiment of the present application. In the figure, the service evaluation is divided into four categories according to the size of the regional service supply index and the individual service perception index, corresponding to the four quadrants in the coordinate system. Among them, the regional service supply index and individual service perception in the first quadrant are both very high. According to the theory of planned behavior, it is assumed that the larger the regional service supply, the higher the local individual service perception, and the less likely residents are to over-consume or destroy services to meet their needs. These areas show considerable promise in terms of sustainability-"sustainability" here refers to a process or state that can be maintained for a long time. The second quadrant area is characterized by low regional service supply indicators but high individual service perception indicators. Although there is a gap between supply and perception, it can be considered that the satisfaction of individual residents is relatively high. The third quadrant area faces the dual challenges of low ecosystem regional service supply indicators and low individual service perception indicators. Although the supply and satisfaction levels are consistent, there is a certain gap with the expectations of individual residents. The fourth quadrant area is characterized by a high level of regional service supply indicators, but a low level of individual service perception indicators. Despite the adequate supply of services, individual residents have low perception indicators and low satisfaction with ecosystem services, which may lead residents to further exploit and destroy ecosystems to meet their own ecosystem service needs.

[0031] Step 102, linearly normalize the first regional service supply index and the first individual service perception index of the ecosystem service respectively to obtain a second regional service supply index and a second individual service perception index corresponding to each service indicator type of the ecosystem service in the target watershed.

[0032] In an embodiment of the present application, the first regional service supply indicator and the first individual service perception indicator of the ecosystem service can be linearly normalized respectively, so as to obtain the second regional service supply indicator and the second individual service perception indicator corresponding to each service indicator type of the ecosystem service. That is, the second regional service supply indicator is obtained by normalizing the first regional service supply indicator, and the second individual service perception indicator is obtained by normalizing the first individual service perception indicator. Different service indicator types may have different quantitative standards. Therefore, the first regional service supply indicator and the first individual service perception indicator corresponding to each service indicator type can be linearly normalized independently when normalized. The calculation method of linear normalization is shown in Formula 12 below: (Formula 12) In formula 12, is the normalized second regional service supply index or the second individual service perception index, The first regional service supply indicator or the first individual service perception indicator, for The upper limit value of the corresponding service indicator type, for The lower limit of the corresponding service indicator type. When providing indicators for the second region service, That is the first regional service supply indicator; When serving the second individual perception indicator, This is the first individual service perception indicator.

[0033] Step 103: Determine the local indicator adaptability corresponding to each service indicator type based on the second regional service supply indicator and the second individual service perception indicator corresponding to each service indicator type.

[0034] In an embodiment of the present application, the local indicator fitness corresponding to each service indicator type can be calculated based on the second regional service supply indicator and the second individual service perception indicator corresponding to each service indicator type. The calculation method of the local indicator fitness is shown in the following formula 13: (Formula 13) In the above formula 13, Indicates the service indicator type The corresponding local indicator fitness, Indicates the service indicator type The corresponding second regional service supply indicators, Indicates the service indicator type The corresponding second individual service perception indicator is, Indicates the theoretical upper limit of the service supply index of the second region, and can be used together with the service index type correspond, Indicates the theoretical upper limit of the second individual service perception indicator and can be used together with the service indicator type correspond.

[0035] Step 104: determining the overall indicator fitness of the ecosystem service based on the local indicator fitness.

[0036] In an embodiment of the present application, after obtaining the local indicator fitness, the average value of the local indicator fitness can be calculated by arithmetic averaging, and the average value can be used as the overall indicator fitness of the ecosystem service; the weight value of each service indicator type can also be artificially set, and the weight value can be used to perform weighted averaging on the local indicator fitness, and the result of the weighted average can be used as the overall indicator fitness of the ecosystem service.

[0037] Step 105: Determine the service evaluation of the ecosystem service based on the overall indicator fitness.

[0038] In the embodiment of the present application, the service evaluation of the ecosystem service can be determined according to the overall indicator fitness. Specifically, the service evaluation of the ecosystem service can be determined by the size of the preset threshold and the overall indicator fitness. When the overall indicator fitness is greater than or equal to the preset threshold, the service evaluation of the ecosystem service can be determined to be the first level; when the overall indicator fitness is less than the preset threshold, the service evaluation of the ecosystem service can be determined to be the second level; wherein the second level can be lower than the first level. For example, the first level can be "pass" and the second level can be "fail".

[0039] In an embodiment of the present application, by obtaining the first regional service supply index and the first individual service perception index corresponding to each service indicator type of the ecosystem service in the target watershed; linearly normalizing the first regional service supply index and the first individual service perception index of the ecosystem service, respectively, to obtain the second regional service supply index and the second individual service perception index corresponding to each service indicator type of the ecosystem service in the target watershed; based on the second regional service supply index and the second individual service perception index corresponding to each service indicator type, the local indicator fitness corresponding to each service indicator type is determined; based on the local indicator fitness, the overall indicator fitness of the ecosystem service is determined; based on the overall indicator fitness, the service evaluation of the ecosystem service is determined, the local indicator fitness corresponding to each service indicator type can be determined through the regional service supply index and the individual service perception index corresponding to the ecosystem service, and the overall indicator fitness of the ecosystem service can be determined through the local indicator fitness, and finally the service evaluation of the ecosystem service can be determined through the overall indicator fitness, because the service indicator combination of the regional service supply index and the individual service perception index is used, the richness of the data used for the ecosystem service evaluation is improved, so the accuracy of the ecosystem service evaluation can be improved to a certain extent.

[0040] Based on the above implementation, Figure 4 , Figure 4A flowchart of a method for determining an ecosystem service evaluation provided in an embodiment of the present application may include, in step 105: Step 201: determine the Spearman correlation coefficient between the second regional service supply index and the second individual service perception index corresponding to each service index type.

[0041] In an embodiment of the present application, the Spearman correlation coefficient can be used to evaluate whether there is a synergistic relationship or a trade-off relationship between the regional service supply index and the individual service perception index, wherein the synergistic relationship means that the regional service supply index and the individual service perception index increase and decrease together, and the trade-off relationship means that the regional service supply index and the individual service perception index increase and decrease at the same time. The Spearman correlation coefficient between the second regional service supply index and the second individual service perception index can be calculated by using the second regional service supply index and the second individual service perception index corresponding to each service indicator type. The calculation method of the Spearman correlation coefficient is shown in Formula 14 below: (Formula 14) In the above formula 14, represents the rank of the second regional service supply index (i.e., the sequence number of the second regional service supply index arranged from small to large), represents the rank of the second individual service perception indicator, represents the Spearman correlation coefficient, is the covariance calculation function, is the standard deviation of the rank of the service supply indicator for the second region, The standard deviation of the rank of the second individual service perception indicator.

[0042] Step 202: Determine the service evaluation of the ecosystem service based on the Spearman correlation coefficient and the overall indicator fitness.

[0043] In an embodiment of the present application, the Spearman correlation coefficient and the overall indicator fitness can be combined to determine the service evaluation of the ecosystem service. Among them, when the Spearman correlation coefficient is greater than 0, it indicates that the second regional service supply indicator and the second individual service perception indicator are in a synergistic relationship; when the Spearman correlation coefficient is less than 0, it indicates that the second regional service supply indicator and the second individual service perception indicator are in a trade-off relationship. The larger the absolute value of the Spearman correlation coefficient, the greater the influence between the second regional service supply indicator and the second individual service perception indicator (that is, the faster the change rate); the smaller the absolute value of the Spearman correlation coefficient, the smaller the influence between the second regional service supply indicator and the second individual service perception indicator. When the Spearman correlation coefficient is 0, it indicates that the second regional service supply indicator and the second individual service perception indicator will not affect each other.

[0044] Optionally, step 202 may include the following sub-steps: Sub-step 2021, when the overall indicator fitness is greater than or equal to the first threshold and the Spearman correlation coefficient is greater than zero, determining that the service evaluation of the ecosystem service is at the first level.

[0045] In an embodiment of the present application, the service evaluation of the ecosystem can be divided into three levels. When the overall indicator fitness is greater than or equal to the first threshold and the Spearman correlation coefficient is greater than zero, the service evaluation of the ecosystem service can be determined to be the first level, where the first level is the highest level in the service evaluation.

[0046] Sub-step 2022, when the overall indicator fitness is less than a first threshold, or the Spearman correlation coefficient is less than zero, determining that the service evaluation is a second level; wherein the second level is lower than the first level.

[0047] In the embodiment of the present application, when the overall indicator fitness is less than the first threshold, or the Spearman correlation coefficient is less than zero, the service evaluation of the ecosystem service can be determined to be the second level, wherein the second level can be lower than the first level. It should be noted that in the embodiment of this step, the situation where the overall indicator fitness is less than the first threshold and the situation where the Spearman correlation coefficient is less than zero may not exist at the same time.

[0048] Sub-step 2023, when the overall indicator fitness is less than the first threshold and the Spearman correlation coefficient is less than zero, determine that the service evaluation is the third level; wherein the third level is lower than the second level.

[0049] In an embodiment of the present application, if the overall indicator fitness is less than the first threshold and the Spearman correlation coefficient is less than zero, it can be determined that the service evaluation of the ecosystem service is at the third level, wherein the third level may be lower than the second level.

[0050] For example, the first level, the second level, and the third level can correspond to "excellent", "good", and "fail", respectively, where the evaluation of "excellent" can be higher than the evaluation of "good", and the evaluation of "good" can be higher than the evaluation of "fail". The first level can be "excellent", the second level can be "good", and the third level can be "fail".

[0051] In an embodiment of the present application, when the overall indicator fitness is greater than or equal to the first threshold and the Spearman correlation coefficient is greater than zero, the service evaluation of the ecosystem service is determined to be the first level; when the overall indicator fitness is less than the first threshold or the Spearman correlation coefficient is less than zero, the service evaluation is determined to be the second level; wherein the second level is lower than the first level, and when the overall indicator fitness is less than the first threshold and the Spearman correlation coefficient is less than zero, the service evaluation is determined to be the third level; wherein the third level is lower than the second level, the service evaluation of the ecosystem service can be jointly determined based on the relationship between the overall indicator fitness and the first threshold and the positivity of the Spearman correlation coefficient, and at the same time, the service evaluation division method is refined, which improves the accuracy of the service evaluation of the ecosystem service to a certain extent.

[0052] In an embodiment of the present application, by determining the Spearman correlation coefficient between the second regional service supply index and the second individual service perception index corresponding to each service indicator type, the service evaluation of the ecosystem service is determined based on the Spearman correlation coefficient and the overall indicator fitness. The Spearman correlation coefficient and the overall indicator fitness can be combined to determine the service evaluation of the ecosystem service from two perspectives, thereby improving the accuracy of the service evaluation to a certain extent.

[0053] Based on the above implementation, Figure 5 , Figure 5 A flowchart of another method for determining ecosystem service evaluation provided in an embodiment of the present application may include, in step 105: Step 301: determine the global Moran index of the ecosystem service based on the second regional service supply index and the second individual service perception index corresponding to each service index type.

[0054] In an embodiment of the present application, the global Moran's index can be used to determine the overall spatial correlation between the various service indicator types of the target watershed. The global Moran's index of the ecosystem service can be calculated and determined based on the second regional service supply index and the second individual service perception index corresponding to each service indicator type. The calculation method of the global Moran's index is shown in the following formula 15: (Formula 15) In the above formula 15, represents the spatial weight matrix of the target watershed, i and j For different subareas of the target watershed, Representative partition i The second regional service supply index or the second individual service perception index, represent The average value of Representative partition j The second regional service supply perception index or the second individual service perception index, n Represents the total number of partitions. When calculating, , and The types can be the same, that is, they can both correspond to regional service supply, or they can both correspond to individual service perception.

[0055] Step 302: Determine the service evaluation of the ecosystem service based on the global Moran's index and the overall indicator fitness.

[0056] In an embodiment of the present application, the global Moran's index and the overall indicator fitness can be combined to determine the service evaluation of the ecosystem service. If the global Moran's index is greater than 0, it indicates that the data of the ecosystem service in the target watershed is spatially positively correlated, and if the global Moran's index is less than 0, it indicates that the data of the ecosystem service in the target watershed is spatially negatively correlated, and if the global Moran's index is equal to 0, it indicates that the data of the ecosystem service in the target watershed is not correlated.

[0057] Optionally, step 302 may include the following sub-steps: Sub-step 3021, when the overall indicator fitness is greater than or equal to the first threshold and the global Moran's index is greater than zero, determining that the service evaluation of the ecosystem service is at the first level.

[0058] In an embodiment of the present application, the service evaluation of the ecosystem can be divided into three levels. When the overall indicator fitness is greater than or equal to the first threshold and the global Moran's index is greater than zero, the service evaluation of the ecosystem service can be determined to be the first level, where the first level is the highest level in the service evaluation.

[0059] Sub-step 3022, when the overall indicator fitness is less than the first threshold, or the global Moran's index is less than zero, determining that the service evaluation is the second level.

[0060] In the embodiment of the present application, when the overall indicator fitness is less than the first threshold, or the global Moran's index is less than zero, the service evaluation of the ecosystem service can be determined to be the second level, wherein the second level can be lower than the first level. It should be noted that in the embodiment of this step, the situation where the overall indicator fitness is less than the first threshold and the situation where the global Moran's index is less than zero may not exist at the same time.

[0061] Sub-step 3023, when the overall indicator fitness is less than the first threshold and the global Moran's index is less than zero, determining that the service evaluation is the third level.

[0062] In an embodiment of the present application, if the overall indicator fitness is less than the first threshold and the global Moran's index is less than zero, the service evaluation of the ecosystem service can be determined to be the third level, wherein the third level can be lower than the second level.

[0063] In an embodiment of the present application, when the overall indicator fitness is greater than or equal to the first threshold and the global Moran's index is greater than zero, the service evaluation of the ecosystem service is determined to be the first level; when the overall indicator fitness is less than the first threshold or the global Moran's index is less than zero, the service evaluation is determined to be the second level; when the overall indicator fitness is less than the first threshold and the global Moran's index is less than zero, the service evaluation is determined to be the third level. The service evaluation of the ecosystem service can be jointly determined based on the relationship between the overall indicator fitness and the first threshold and the positivity of the global Moran's index. At the same time, the service evaluation division method is refined, which improves the accuracy of the service evaluation of the ecosystem service to a certain extent.

[0064] In an embodiment of the present application, the global Moran's index of the ecosystem service is determined based on the second regional service supply index and the second individual service perception index corresponding to each service indicator type, and the service evaluation of the ecosystem service is determined based on the global Moran's index and the overall indicator fitness. The global Moran's index and the overall indicator fitness can be combined to determine the service evaluation of the ecosystem service from two perspectives, thereby improving the accuracy of the service evaluation to a certain extent.

[0065] Based on the above implementation, Figure 6 , Figure 6 A flowchart of another method for determining ecosystem service evaluation provided in an embodiment of the present application may include, in step 105: Step 401: determine the third regional service supply index and the third individual service perception index corresponding to each area in the target watershed from the second regional service supply index and the second individual service perception index corresponding to each service indicator type.

[0066] In the embodiments of the present application, since the target watershed is composed of various regions within the watershed, the ecosystem service data of the target watershed is composed of the ecosystem service data of the various regions. Therefore, the third regional service supply indicator and the third individual service perception indicator corresponding to each region in the target watershed can be determined from the second regional service supply indicator and the second individual service perception indicator corresponding to each service indicator type.

[0067] Step 402: Based on the third regional service supply index and the third individual service perception index, first local Moran's index corresponding to each of the regions is determined respectively.

[0068] In an embodiment of the present application, the local Moran index can be used to determine the spatial heterogeneity within the regional service supply and individual service perception area. The first local Moran index corresponding to each region can be calculated based on the third regional service supply index and the third individual service perception index. The third regional service supply index and the third individual service perception index used in one calculation can correspond to the same region. The calculation method of the first local Moran index is shown in the following equations 16 to 18: (Formula 16) (Formula 17) (Formula 18) In the above formulas 16 to 18, For Region i The first partial Moran index, n is the total number of regions, and the interpretations of the remaining symbols are the same as those in Formula 15. Please refer to the interpretations of the relevant symbols in Formula 15 and will not be repeated here.

[0069] Step 403: Determine a second local Moran's index of the ecosystem service based on the first local Moran's index.

[0070] In an embodiment of the present application, the second local Moran's index of the ecosystem service can be determined according to the first local Moran's index corresponding to each area. For example, if the number of first local Moran's indexes greater than 0 in each first local Moran's index is greater than or equal to half of the total number of first local Moran's indexes, the average value of the first local Moran's indexes greater than 0 can be used as the second local Moran's index of the ecosystem service; if the number of first local Moran's indexes less than 0 in each first local Moran's index is greater than or equal to half of the total number of first local Moran's indexes, the average value of the first local Moran's indexes less than 0 can be used as the second local Moran's index of the ecosystem service. If none of the above situations are met, the arithmetic mean of the first local Moran's index can be used as the second local Moran's index of the ecosystem service.

[0071] Step 404: Determine the service evaluation of the ecosystem service based on the second local Moran's index and the overall indicator fitness.

[0072] In an embodiment of the present application, the second local Moran index and the overall indicator fitness can be combined to determine the service evaluation of the ecosystem service. The rating division of the service evaluation can be further refined on the basis of rating and stratifying the service evaluation based on the overall indicator fitness.

[0073] Optionally, step 404 may include the following sub-steps: Sub-step 4041, when the second local Moran's index is greater than zero and the overall indicator fitness is greater than or equal to a first threshold, determining that the service evaluation of the ecosystem service is at the first level.

[0074] In an embodiment of the present application, the service evaluation of the ecosystem can be divided into three levels. When the overall indicator fitness is greater than or equal to the first threshold and the second local Moran's index is greater than zero, the service evaluation of the ecosystem service can be determined to be the first level, where the first level is the highest level in the service evaluation.

[0075] Sub-step 4042, when the second local Moran's index is less than zero, or the overall indicator fitness is less than a first threshold, determining that the service evaluation of the ecosystem service is at the second level.

[0076] In the embodiment of the present application, when the overall indicator fitness is less than the first threshold, or the second local Moran's index is less than zero, the service evaluation of the ecosystem service can be determined to be the second level, wherein the second level can be lower than the first level. It should be noted that in the embodiment of this step, the situation where the overall indicator fitness is less than the first threshold and the situation where the second local Moran's index is less than zero will not occur at the same time.

[0077] Sub-step 4043, when the second local Moran's index is less than zero and the overall indicator fitness is less than a first threshold, determining that the service evaluation of the ecosystem service is at the third level.

[0078] In an embodiment of the present application, if the overall indicator fitness is less than the first threshold and the second local Moran index is less than zero, the service evaluation of the ecosystem service can be determined to be the third level, wherein the third level can be lower than the second level.

[0079] In a possible embodiment, the overall indicator fitness, Spearman correlation coefficient, global Moran's index and local Moran's index can be used to jointly evaluate ecosystem services. For example, the overall indicator fitness, Spearman correlation coefficient, global Moran's index and local Moran's index can correspond to two service evaluations, namely the first level and the second level (where the first level is higher than the second level). The specific corresponding method can refer to the content described in the above embodiment. On this basis, the service evaluation of ecosystem services can be divided into 5 evaluation levels, namely the first level (excellent), the second level (excellent), the third level (good), the fourth level (passing) and the fifth level (failing). Among them, the service evaluation of the first level is the highest and is greater than the service evaluation of the second level, the service evaluation of the second level is greater than the service evaluation of the third level, the service evaluation of the third level is greater than the service evaluation of the fourth level, the service evaluation of the fourth level is greater than the service evaluation of the fifth level, and the service evaluation of the fifth level is the lowest.

[0080] In an embodiment of the present application, when the second local Moran's index is greater than zero and the overall indicator fitness is greater than or equal to a first threshold, the service evaluation of the ecosystem service is determined to be the first level; when the second local Moran's index is less than zero, or the overall indicator fitness is less than the first threshold, the service evaluation of the ecosystem service is determined to be the second level; when the second local Moran's index is less than zero and the overall indicator fitness is less than the first threshold, the service evaluation of the ecosystem service is determined to be the third level. The service evaluation of the ecosystem service can be jointly determined based on the relationship between the overall indicator fitness and the first threshold and the positivity of the second local Moran's index. At the same time, the service evaluation division method is refined, and the accuracy of the service evaluation of the ecosystem service is improved to a certain extent.

[0081] In an embodiment of the present application, the third regional service supply index and the third individual service perception index corresponding to each area in the target watershed are determined through the second regional service supply index and the second individual service perception index corresponding to each service indicator type respectively, and the first local Moran's index corresponding to each area is determined based on the third regional service supply index and the third individual service perception index respectively, and the second local Moran's index of the ecosystem service is determined based on the first local Moran's index, and the service evaluation of the ecosystem service is determined based on the second local Moran's index and the overall indicator fitness. The second local Moran's index and the overall indicator fitness can be combined to determine the service evaluation of the ecosystem service from two perspectives, which improves the accuracy of the service evaluation to a certain extent.

[0082] Reference Figure 7 , Figure 7It is a flowchart of a specific implementation method of an ecosystem service evaluation method provided by an embodiment of the present application. In the figure, first, a data set of macro-regional supply and micro-individual perception can be constructed, and the data in the data set can be divided according to the service indicator type; then, a one-to-one corresponding indicator of macro-regional supply and micro-individual perception can be constructed according to the service indicator type, and a link between the data can be established at the regional city scale, where the regional city scale refers to the regional division scale of the target watershed; then, a comprehensive evaluation model at the regional city scale can be constructed, and the spatial distribution characteristics of ecosystem services can be analyzed, wherein the comprehensive evaluation model can include an evaluation model method based on the overall indicator fitness and / or Spearman correlation coefficient, and the spatial distribution characteristics can be analyzed according to the global Moran index and the local Moran index; then, the synergy and trade-off relationship between macro-regional supply and micro-individual perception, as well as the indicator matching degree of macro-regional supply and micro-individual perception at the regional city scale can be analyzed according to the above model and spatial distribution characteristics; finally, the ecosystem service evaluation of the target watershed can be output according to the above synergy relationship / trade-off relationship and indicator matching degree.

[0083] Reference Figure 8 , Figure 8 A logic block diagram of an ecosystem service evaluation device provided in an embodiment of the present application, the device 800 may include: An acquisition module 801 is used to acquire a first regional service supply indicator and a first individual service perception indicator corresponding to each service indicator type of the ecosystem service in the target watershed; A normalization module 802 is used to linearly normalize the first regional service supply index and the first individual service perception index of the ecosystem service, respectively, to obtain a second regional service supply index and a second individual service perception index corresponding to each service indicator type of the ecosystem service in the target watershed; A first determination module 803 is used to determine the local indicator fitness corresponding to each service indicator type based on the second regional service supply indicator and the second individual service perception indicator corresponding to each service indicator type; A second determination module 804 is used to determine the overall indicator fitness of the ecosystem service based on the local indicator fitness; The third determination module 805 is used to determine the service evaluation of the ecosystem service based on the overall indicator fitness.

[0084] Optionally, the third determining module 805 includes: A first determination submodule is used to determine the Spearman correlation coefficient between the second regional service supply index and the second individual service perception index corresponding to each service index type; The second determination submodule is used to determine the service evaluation of the ecosystem service based on the Spearman correlation coefficient and the overall indicator fitness.

[0085] Optionally, the second determining submodule includes: A first determination unit, configured to determine that the service evaluation of the ecosystem service is at the first level when the overall indicator fitness is greater than or equal to a first threshold and the Spearman correlation coefficient is greater than zero; A second determining unit is used to determine that the service evaluation is a second level when the overall indicator fitness is less than a first threshold or the Spearman correlation coefficient is less than zero; wherein the second level is lower than the first level; The third determination unit is used to determine that the service evaluation is a third level when the overall indicator fitness is less than a first threshold and the Spearman correlation coefficient is less than zero; wherein the third level is lower than the second level.

[0086] Optionally, the third determining module 805 includes: A third determination submodule is used to determine the global Moran index of the ecosystem service based on the second regional service supply index and the second individual service perception index corresponding to each service indicator type; The fourth determination submodule is used to determine the service evaluation of the ecosystem service based on the global Moran's index and the overall indicator fitness.

[0087] Optionally, the fourth determining submodule includes: a fourth determination unit, configured to determine that the service evaluation of the ecosystem service is at the first level when the overall indicator fitness is greater than or equal to the first threshold and the global Moran's index is greater than zero; a fifth determining unit, configured to determine that the service evaluation is at the second level when the overall indicator fitness is less than a first threshold or the global Moran's index is less than zero; The sixth determination unit is used to determine that the service evaluation is at the third level when the overall indicator fitness is less than the first threshold and the global Moran's index is less than zero.

[0088] Optionally, the third determining module 805 includes: A fifth determination submodule is used to determine the third regional service supply index and the third individual service perception index corresponding to each area in the target watershed from the second regional service supply index and the second individual service perception index corresponding to each service indicator type; A sixth determination submodule, configured to determine first local Moran's indexes corresponding to the respective regions based on the third regional service supply index and the third individual service perception index; a seventh determination submodule, for determining a second local Moran's index of the ecosystem service based on the first local Moran's index; An eighth determination submodule is used to determine the service evaluation of the ecosystem service based on the second local Moran's index and the overall indicator fitness.

[0089] Optionally, the eighth determining submodule includes: a seventh determination unit, configured to determine that the service evaluation of the ecosystem service is at a first level when the second local Moran's index is greater than zero and the overall indicator fitness is greater than or equal to a first threshold; an eighth determining unit, configured to determine that the service evaluation of the ecosystem service is at a second level when the second local Moran's index is less than zero or the overall indicator fitness is less than a first threshold; The ninth determination unit is used to determine that the service evaluation of the ecosystem service is at the third level when the second local Moran's index is less than zero and the overall indicator fitness is less than a first threshold.

[0090] The ecosystem service evaluation device in the embodiment of the present application can be an electronic device or a component in an electronic device, such as an integrated circuit or a chip. The electronic device can be a terminal or other devices other than a terminal. Exemplarily, the electronic device can be a GPUBOX, a mobile phone, a tablet computer, a laptop computer, a PDA, a vehicle-mounted electronic device, a mobile Internet device (Mobile Internet Device, MID), an augmented reality (augmented reality, AR) / virtual reality (virtual reality, VR) device, a robot, a wearable device, an ultra-mobile personal computer (ultra-mobile personal computer, UMPC), a netbook or a personal digital assistant (personal digital assistant, PDA), etc. It can also be a server, a network attached storage (Network Attached Storage, NAS), a personal computer (personal computer, PC), a television (television, TV), a teller machine or a self-service machine, etc., which is not specifically limited in the embodiment of the present application.

[0091] The ecosystem service evaluation device in the embodiment of the present application may be a device having an operating system. The operating system may be an Android operating system, a Linux operating system, a Windows operating system, or other possible operating systems, which are not specifically limited in the embodiment of the present application.

[0092] The ecosystem service evaluation device provided in the embodiment of the present application can achieve Figures 1 to 3 To avoid repetition, the various processes implemented by the method embodiment are not described here.

[0093] The present application embodiment provides an electronic device, see Fig. 9 The electronic device 90 includes: a processor 901, a memory 902, and a computer program 9021 stored in the memory 902 and executable on the processor 901. When the processor 901 executes the program, the ecosystem service evaluation method of the aforementioned embodiment is implemented.

[0094] The embodiment of the present application also provides a computer-readable storage medium on which a computer program / instruction is stored. When the computer program / instruction is executed by a processor, the steps in the ecosystem service evaluation method disclosed in the embodiment of the present application are implemented.

[0095] The embodiment of the present application also provides a computer program product. When the computer program product is run on an electronic device, the processor is enabled to implement the steps in the ecosystem service evaluation method disclosed in the embodiment of the present application.

[0096] The various embodiments in this specification are described in a progressive manner, and each embodiment focuses on the differences from other embodiments. The same or similar parts between the various embodiments can be referenced to each other.

[0097] The embodiments of the present application are described with reference to the flowcharts and / or block diagrams of the methods, devices, electronic devices, and computer program products according to the embodiments of the present application. It should be understood that each process and / or box in the flowchart and / or block diagram, as well as the combination of the processes and / or boxes in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing terminal device to generate a machine, so that the instructions executed by the processor of the computer or other programmable data processing terminal device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0098] These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing terminal device to operate in a specific manner, so that the instructions stored in the computer-readable memory produce a manufactured product including an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0099] These computer program instructions can also be loaded onto a computer or other programmable data processing terminal device so that a series of operating steps are executed on the computer or other programmable terminal device to produce a computer-implemented process, thereby providing instructions for executing on the computer or other programmable terminal device to implement the process. Figure 1 A process or multiple processes and / or boxes Figure 1 The steps for the functions specified in one or more boxes.

[0100] Although the preferred embodiments of the present application have been described, those skilled in the art may make additional changes and modifications to these embodiments once they have learned the basic creative concept. Therefore, the appended claims are intended to be interpreted as including the preferred embodiments and all changes and modifications that fall within the scope of the embodiments of the present application.

[0101] Finally, it should be noted that, in this article, relational terms such as first and second, etc. are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "include", "comprise" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or terminal device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or terminal device. In the absence of further restrictions, the elements defined by the sentence "including one..." do not exclude the existence of other identical elements in the process, method, article or terminal device including the elements.

[0102] The above is a detailed introduction to an ecosystem service evaluation method provided by the present application. Specific examples are used in this article to illustrate the principles and implementation methods of the present application. The description of the above embodiments is only used to help understand the method of the present application and its core idea; at the same time, for general technical personnel in this field, according to the idea of ​​the present application, there will be changes in the specific implementation method and application scope. In summary, the content of this specification should not be understood as a limitation on the present application.

Claims

1. An ecosystem service evaluation method, characterized in that: The method comprises: Obtain the first regional service supply index and the first individual service perception index corresponding to each service indicator type of the ecosystem service in the target watershed; Linearly normalizing the first regional service supply index and the first individual service perception index of the ecosystem service to obtain second regional service supply indexes and second individual service perception indexes corresponding to each service indicator type of the ecosystem service in the target watershed; Determining the local indicator fitness corresponding to each service indicator type based on the second regional service supply indicator and the second individual service perception indicator corresponding to each service indicator type; Based on the local indicator fitness, determining the overall indicator fitness of the ecosystem service; Based on the overall indicator fitness, a service evaluation of the ecosystem service is determined.

2. The method according to claim 1, characterized in that Determining the service evaluation of the ecosystem service based on the overall indicator fitness includes: Determine the Spearman correlation coefficient between the second regional service supply index and the second individual service perception index corresponding to each service index type; Based on the Spearman correlation coefficient and the overall indicator fitness, a service evaluation of the ecosystem service is determined.

3. The method according to claim 2, characterized in that Determining the service evaluation of the ecosystem service based on the Spearman correlation coefficient and the overall indicator fitness includes: When the fitness of the overall indicator is greater than or equal to the first threshold and the Spearman correlation coefficient is greater than zero, the service evaluation of the ecosystem service is determined to be the first level; When the overall indicator fitness is less than the first threshold, or the Spearman correlation coefficient is less than zero, determining that the service evaluation is at the second level; wherein the second level is lower than the first level; When the overall indicator fitness is less than a first threshold and the Spearman correlation coefficient is less than zero, the service evaluation is determined to be at the third level; wherein the third level is lower than the second level.

4. The method according to claim 1, characterized in that: Determining the service evaluation of the ecosystem service based on the overall indicator fitness includes: Determining a global Moran index of the ecosystem service based on the second regional service supply index and the second individual service perception index respectively corresponding to each service indicator type; Based on the global Moran's index and the overall indicator fitness, a service evaluation of the ecosystem service is determined.

5. The method according to claim 4, characterized in that Determining the service evaluation of the ecosystem service based on the global Moran index and the overall indicator fitness includes: When the overall indicator fitness is greater than or equal to the first threshold and the global Moran's index is greater than zero, determining that the service evaluation of the ecosystem service is at the first level; When the overall indicator fitness is less than the first threshold, or the global Moran index is less than zero, determining that the service evaluation is the second level; When the overall indicator fitness is less than the first threshold and the global Moran's index is less than zero, the service evaluation is determined to be the third level.

6. The method according to claim 1, characterized in that Determining the service evaluation of the ecosystem service based on the overall indicator fitness includes: Determine, from the second regional service supply indicators and the second individual service perception indicators respectively corresponding to the various service indicator types, the third regional service supply indicators and the third individual service perception indicators respectively corresponding to the various regions within the target watershed; Based on the third regional service supply index and the third individual service perception index, respectively determine the first local Moran index corresponding to each of the regions; determining a second local Moran's index of the ecosystem service based on the first local Moran's index; Based on the second local Moran's index and the overall indicator fitness, a service evaluation of the ecosystem service is determined.

7. The method according to claim 6, characterized in that The determining of the service evaluation of the ecosystem service based on the second local Moran's index and the overall indicator fitness includes: When the second local Moran's index is greater than zero and the overall indicator fitness is greater than or equal to a first threshold, determining that the service evaluation of the ecosystem service is at the first level; When the second local Moran's index is less than zero, or the overall indicator fitness is less than a first threshold, determining that the service evaluation of the ecosystem service is at the second level; When the second local Moran's index is less than zero and the overall indicator fitness is less than a first threshold, the service evaluation of the ecosystem service is determined to be the third level.

8. An ecosystem service evaluation device, characterized in that: The device comprises: An acquisition module, used for acquiring the first regional service supply index and the first individual service perception index corresponding to each service index type of the ecosystem service in the target watershed; a normalization module, used to linearly normalize the first regional service supply index and the first individual service perception index of the ecosystem service, respectively, to obtain a second regional service supply index and a second individual service perception index corresponding to each service indicator type of the ecosystem service in the target watershed; A first determination module, configured to determine the local indicator fitness corresponding to each service indicator type based on the second regional service supply indicator and the second individual service perception indicator corresponding to each service indicator type; A second determination module is used to determine the overall indicator fitness of the ecosystem service based on the local indicator fitness; The third determination module is used to determine the service evaluation of the ecosystem service based on the overall indicator fitness.

9. An electronic device, characterized in that: The system comprises a memory, a processor and a computer program stored in the memory, wherein the processor executes the computer program to implement the ecosystem service evaluation method according to any one of claims 1 to 7.

10. A storage medium, characterized in that: The storage medium stores a program or instruction, and when the program or instruction is executed by the processor, the ecosystem service evaluation method described in any one of claims 1 to 7 is implemented.

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