Green space network planning method and device based on ecosystem service clusters

Abstract

An embodiment of the present application provides a method and apparatus for green space network planning based on ecosystem service clusters. The method includes: obtaining relevant basic data for calculating ecosystem services within a planning area; evaluating the ecosystem services of the planning area based on the relevant basic data to obtain evaluation results for each planning unit within the planning area; performing cluster analysis within the planning area on the evaluation results of multiple planning units to obtain the types and spatial distributions of ecosystem service clusters; determining ecological source areas and the types of ecological source areas based on the green spaces within the planning area and the types and spatial distributions of ecosystem service clusters; directly constructing corridors between ecological source areas of the same type based on the types of ecological source areas to form a green space network, and enhancing the co-action of the same dominant service functions between ecological source areas of the same type in the green space network.

Description

Technical Field

[0001] The embodiments of the present application relate to the technical field of ecological planning, and in particular, to a method and device for planning a green space network based on ecosystem service clusters. Background Art

[0002] Green spaces provide people with a variety of ecosystem services, and the planning of green space networks is crucial for protecting the sustainable supply of multiple ecosystem services.

[0003] The green space network mainly consists of ecological source areas and corridors. The identification of ecological source areas is a key step in the process of planning a green space network. Generally, existing ecological spaces such as nature reserves, large forest parks, and natural water bodies can be directly used as ecological source areas; or, by comprehensively analyzing multiple ecological indicators, landscape indices, ecosystem services, etc. of ecological spaces, ecological spaces with high comprehensive protection value are determined as ecological source areas.

[0004] Currently, for the identification of ecological source areas, the comprehensive value of the ecosystem is mainly used as the basis, lacking the judgment of the dominant service functions of each ecological source area, which affects the direct construction of corridors between the same type of ecological source areas and the joint action of the same dominant service functions. Summary of the Invention

[0005] In view of this, the embodiments of the present application provide a method and device for planning a green space network based on ecosystem service clusters to at least solve or alleviate the above problems.

[0006] According to the first aspect of the embodiments of the present application, a method for planning a green space network based on ecosystem service clusters is provided, and the method includes:

[0007] Obtain relevant basic data for calculating ecosystem services within the planning area; the planning area includes N planning units, and N is equal to or greater than the minimum sample size of predefined cluster analysis;

[0008] Based on the relevant basic data, evaluate the ecosystem services of the planning area to obtain the evaluation results of each planning unit;

[0009] Perform cluster analysis within the planning area on the evaluation results of the N planning units to obtain the types and spatial distributions of ecosystem service clusters; the ecosystem service clusters are obtained by clustering the combinations of ecosystem services provided by the planning units, and the types of the ecosystem service clusters are determined by the characteristics of the combinations of ecosystem services and are used to characterize the dominant service functions of the space;

[0010] Determine the ecological source areas and the types of the ecological source areas based on the green spaces within the planned area, and the types and spatial distributions of the ecosystem service clusters;

[0011] Based on the types of the ecological source areas, construct corridors between the ecological source areas of the same type to form a green space network.

[0012] According to the second aspect of the embodiments of the present application, there is provided a green space network planning device based on ecosystem service clusters, the device includes:

[0013] An acquisition module, configured to acquire relevant basic data for calculating ecosystem services within the planned area; the planned area includes N planning units, and N is equal to or greater than the minimum sample size of predefined cluster analysis;

[0014] An evaluation module, configured to evaluate the ecosystem services of the planned area based on the relevant basic data, and obtain the evaluation results of each of the planning units;

[0015] A cluster analysis module, configured to perform cluster analysis within the planned area on the evaluation results of the N planning units to obtain the types and spatial distributions of the ecosystem service clusters; the ecosystem service clusters are obtained by clustering the combinations of ecosystem services provided by the planning units, and the types of the ecosystem service clusters are determined by the characteristics of the combinations of ecosystem services and are used to characterize the dominant service functions of the space;

[0016] A determination module, configured to determine the ecological source areas and the types of the ecological source areas based on the green spaces within the planned area, and the types and spatial distributions of the ecosystem service clusters;

[0017] A construction module, configured to construct corridors between the ecological source areas of the same type based on the types of the ecological source areas to form a green space network.

[0018] According to the third aspect of the embodiments of the present application, there is provided an electronic device, including: a processor, a memory, a communication interface, and a communication bus, and the processor, the memory, and the communication interface complete communication with each other through the communication bus; the memory is used to store at least one executable instruction, and the executable instruction causes the processor to perform the operations corresponding to the green space network planning method based on ecosystem service clusters provided in the first aspect above.

[0019] According to the fourth aspect of the embodiments of the present application, there is provided a computer storage medium, on which a computer program is stored, and when the program is executed by a processor, it implements the green space network planning method based on ecosystem service clusters described in the first aspect above.

[0020] According to a fifth aspect of the embodiments of the present application, there is provided a computer program product including computer instructions, and the computer instructions direct a computing device to execute the method for planning a green space network based on ecosystem service clusters described in the first aspect above.

[0021] According to the method for planning a green space network based on ecosystem service clusters provided by the embodiments of the present application, in the process of planning a green space network for a region, relevant basic data for calculating ecosystem services in the planning region is obtained, the ecosystem services of the planning region are evaluated based on these relevant basic data, the planning region is divided into planning units, the evaluation results of the ecosystem services of each planning unit are obtained by extraction, the evaluation results of multiple planning units in the planning region are subjected to cluster analysis, the combinations of ecosystem services provided by the planning units are clustered to obtain ecosystem service clusters, the types and spatial distributions of the ecosystem service clusters are determined, the service functions that are dominant in the combinations of ecosystem services provided by the planning units are characterized by the types of the ecosystem service clusters, and then the ecological source areas and the types of the ecological source areas are determined in the green space by using the types and spatial distributions of the ecosystem service clusters, and corridors are directly constructed between the ecological source areas of the same type to enhance the common effect of the ecological source areas of the same type in the green space network on the same dominant service function. Description of the Drawings

[0022] In order to more clearly illustrate the technical solutions in the embodiments of the present application or the prior art, the following will briefly introduce the drawings required for use in the description of the embodiments or the prior art. Obviously, the drawings described below are only some embodiments recorded in the embodiments of the present application, and those of ordinary skill in the art can also obtain other drawings based on these drawings.

[0023] Figure 1 is a schematic diagram of an exemplary system applied in an embodiment of the present application;

[0024] Figure 2 is a flowchart of the method for planning a green space network based on ecosystem service clusters in an embodiment of the present application;

[0025] Figure 3 is a flowchart of the method for planning a green space network based on ecosystem service clusters in an embodiment of the present application;

[0026] Figure 4 is a flowchart of the method for planning a green space network based on ecosystem service clusters in an embodiment of the present application;

[0027] Figure 5 is a schematic diagram of the process of planning a green space network in an embodiment of the present application;

[0028] Figure 6is a schematic diagram of a green space network planning device based on ecosystem service clusters according to an embodiment of the present application;

[0029] Figure 7 It is a schematic diagram of an electronic device according to an embodiment of the present application. DETAILED DESCRIPTION

[0030] The present application is described below based on embodiments, but the present application is not limited to these embodiments. In the detailed description of the present application below, some specific details are described in detail. It is possible for a person skilled in the art to fully understand the present application without the description of these details. In order to avoid confusing the essence of the present application, known methods, processes, and flows are not described in detail. In addition, the drawings are not necessarily drawn to scale.

[0031] First, some nouns or terms that appear in the process of describing the embodiments of the present application are subject to the following explanations.

[0032] Green space refers to ecological space and land in production and living space that has ecological environment protection and ecosystem service functions, including green space systems within built-up areas and urban ecological space outside built-up areas. It plays an important role in improving the regional ecological environment and maintaining the material and energy cycle of the ecosystem.

[0033] A corridor refers to a line with a linear or strip layout. The corridor in this application has the ability to connect ecological units that are relatively isolated and dispersed in spatial distribution. Corridors include at least one of ecological corridors and greenways.

[0034] Ecological corridors refer to the spatial type of ecosystems that are linear or strip-shaped in the ecological environment and can connect relatively isolated and dispersed ecological units in spatial distribution. They can meet the diffusion, migration and exchange of species, and are the key carriers for maintaining the effective flow of ecological functions between sources. They are also an important part of building a complete ecosystem of mountains, rivers, forests, fields, lakes and grasslands in the region. Among them, biological corridors are one type of ecological corridors.

[0035] A greenway is a linear green open space, usually built along natural and artificial corridors such as riversides, valleys, ridges, and scenic roads, with landscape recreation routes accessible to pedestrians and cyclists.

[0036] Ecological source areas refer to habitat patches that play a decisive role in regional ecological processes and functions, are of great significance to regional ecological security, or have important radiation functions. These patches are key plots to ensure regional ecological security. For example, nature reserves, forest parks, natural water bodies, etc. are ecological source areas.

[0037] The green space network is composed of various open spaces and natural areas, including greenways, wetlands, parks, forests, native vegetation, ecological corridors, etc. These elements form an interconnected and organic unified network system. For example, greenways and / or ecological corridors connect relatively scattered ecological source areas such as wetlands, forests, native vegetation, nature reserves, and natural water bodies distributed in space, forming a green space network.

[0038] Exemplary system

[0039] Figure 1 An exemplary computer system is shown. The computer system includes an electronic device 101 and a server 102.

[0040] An application program is installed and run on the electronic device 101. The application program is applicable to the green space network planning method based on ecosystem service clusters provided by the embodiments of the present application. For example, the application program includes R software.

[0041] The electronic device 101 is connected to the server 102 through a wireless network or a wired network. The server 102 includes at least one of a single server, multiple servers, a cloud computing platform, and a virtualization center. The server 102 is used to support the operation of the application program on the electronic device, that is, to provide background services for the application program running on the electronic device 101. Optionally, the server 102 undertakes the main computing work, and the electronic device 101 undertakes the secondary computing work; or, the server 102 undertakes the secondary computing work, and the electronic device 101 undertakes the main computing work; or, the server 102 and the electronic device 101 adopt a distributed computing architecture for collaborative computing.

[0042] The server 102 has a storage capacity and can also provide a storage function for the electronic device 101. For example, the relevant basic data collected for calculating ecosystem services can be stored on the server 102. When the electronic device 101 executes the green space network planning method based on ecosystem service clusters, the above-mentioned relevant basic data can be obtained from the server 102.

[0043] Green space network planning method based on ecosystem service clusters

[0044] Based on the above system, the embodiments of the present application provide a green space network planning method based on ecosystem service clusters. This method can be executed by the electronic device in the above system embodiments. The following will detail this method through multiple embodiments.

[0045] Figure 2 It is a flowchart of the green space network planning method based on ecosystem service clusters in an embodiment of the present application. As Figure 2 shown, the method includes the following steps:

[0046] Step 201: Obtain the relevant basic data for calculating ecosystem services within the planned area, where the planned area includes N planned units.

[0047] The planned area refers to the area where the green space network planning is carried out. The relevant basic data for calculating ecosystem services within the planned area are collected in advance and saved in a device with storage function, such as directly saved in the memory of an electronic device or saved in the form of cloud storage. During the process of planning the green space network, the required relevant basic data are read from the data storage device.

[0048] The acquisition channels of the above-mentioned relevant basic data include but are not limited to: obtained through data acquisition devices; and / or, obtained from open-source data websites; and / or, obtained through the interfaces reserved by external platforms with cooperative relationships.

[0049] Optionally, the relevant basic data includes at least one of the following:

[0050] Land use or land cover data; elevation data; precipitation data; temperature data; evapotranspiration data; soil type data; socioeconomic data.

[0051] Land use data is the data reflecting the state, characteristics, dynamic changes, distribution characteristics of the land use system and land use elements, as well as data on human development, utilization, governance, transformation, management, protection and land use planning of the land. Land cover data is the soil quality and vegetation information in topographic maps, mainly including: urban construction land, agricultural land, forest land, grassland, water bodies, wetlands, grassland, glacier snow cover, barren land and other types.

[0052] Elevation data refers to the data describing the height information of the earth's surface, which provides the numerical value of the surface elevation by measuring the surface height or recording topographic features. Elevation data usually refers to the distance from a certain point along the plumb line direction to the absolute base surface, that is, the altitude. In most cases, the positive value of the elevation data represents the area above sea level, and the negative value represents the area below sea level or the vertical reference surface.

[0053] Precipitation refers to the depth of liquid or solid (after melting) water that falls from the sky to the ground within a certain period of time and accumulates on a horizontal surface without evaporation, infiltration, or runoff. The temperature data in the embodiments of this application refers to air temperature. Evapotranspiration data refers to the total water consumption of soil evaporation and plant transpiration. Soil category refers to the classification of soil based on regional environment and soil properties. Socio-economic data refers to the names and values reflecting the quantitative aspects of certain socio-economic phenomena; among them, socio-economic data may include, but is not limited to, road data and Point of Interest (POI) data.

[0054] Data at different spatial positions within the planned area vary. Therefore, the relevant basic data is a series of relevant basic data distributed at the spatial positions of the planned area. For example, each piece of data includes data values distributed at each spatial position of the planned area.

[0055] The planned area includes N planned units, and N is equal to or greater than the minimum sample size of the predefined cluster analysis. Optionally, the above-mentioned planned units are obtained by dividing the planned area, which can use fishing net grids as the division units, or use small watershed boundary vector data as the division units, or use administrative boundary vector data as the division units.

[0056] One planned unit serves as one sample. The minimum sample size refers to the minimum number of planned units set. The value of N is equal to or greater than the minimum sample size to ensure that there are enough planned units to facilitate the subsequent execution of cluster analysis. For example, if the minimum sample size is 100, then the value of N can be equal to or greater than 100. The minimum sample size can be the predefined minimum sample size for scenarios such as the network planning of green spaces, or it can be the minimum sample size defined by the user for the current network planning of green spaces. Exemplarily, the minimum sample size can be defined based on the number of clusters. For example, the minimum sample size is not less than twice the number of clusters. In the embodiments of this application, the number of clusters refers to the number of types of ecosystem service clusters obtained by clustering. When ensuring that the number of planned units is sufficient, determine the size and / or the number of planned units according to the area of the planned area and the data resolution; or, the size and / or the number of planned units can also be set in advance.

[0057] Taking the fishing net grid as an example of the planned unit, the size of the grid is preset to 3 km × 3 km, where km means kilometer. The planned area is divided into about 20,000 grid units. The size of the fishing net grid can also be 30 m × 30 m, or 1 km × 1 km, etc., depending on the area of the planned area and the data resolution to ensure that there are enough grid units.

[0058] Step 202: Evaluate the ecosystem services of the planned area based on relevant basic data to obtain the evaluation results of each planning unit.

[0059] Ecosystem services refer to all the benefits that humans obtain from ecosystems, including: provisioning services, such as providing food and water; regulating services, such as controlling floods and diseases; cultural services, such as spiritual, recreational, and cultural values; and supporting services, such as the nutrient cycling that sustains the living environment of the earth.

[0060] Exemplarily, supporting services include soil formation, biogeochemical cycling, water cycling, habitat quality, and biodiversity, etc. Regulating services include air quality regulation, climate regulation, soil and water conservation, water quality purification, biological control, pollination, rainwater retention, etc. Cultural services include cultural diversity, spiritual and recreational values, knowledge systems, educational values, inspiration, aesthetic values, cultural heritage values, leisure tourism, etc. Provisioning services include the provision of food, fiber, wood, biofuels, ornamental and environmental plants, genetic gene pools, fresh water resources, water yield, etc.

[0061] For the evaluation of ecosystem services, various models or algorithms can be invoked to execute. Exemplarily, the models or algorithms that can be invoked include, but are not limited to: at least one of the Integrated Valuation of Ecosystem Services and Tradeoffs (InVEST) model, the Revised Universal Soil Loss Equation (RUSLE), the Maximum Entropy Model (MaxEnt), and the Recreation Opportunity Spectrum (ROS).

[0062] For example, taking the relevant basic data as input, invoking the InVEST model to calculate the evaluation results of at least one parameter: carbon storage, water yield, rainwater retention capacity, cool island effect, and habitat quality. Among them, carbon storage, rainwater retention capacity, and cool island effect are parameters related to regulating services, and water yield is a parameter related to provisioning services; invoking RUSLE to calculate the evaluation result of soil conservation; invoking MaxEnt to calculate the evaluation result of biodiversity; invoking ROS to calculate the evaluation result of recreation opportunities.

[0063] For the evaluation of ecosystem services, it can also be executed by means of data statistics. For example, by consulting statistical yearbooks to calculate the grain yield.

[0064] After evaluating the ecosystem services of the planning area, the evaluation results of the planning area are obtained. The evaluation results of the planning area represent the evaluation results at each spatial location in the planning area. For example, they can be represented in the form of a graph. Based on the evaluation results at the spatial locations included in each planning unit, the evaluation results of each planning unit are determined. For example, the average value or weighted value of the multiple evaluation results at the spatial locations included in each planning unit can be extracted as the evaluation result of each planning unit.

[0065] If the evaluation results of the extracted planning units include evaluation data of multiple ecosystem services, then the multiple evaluation data also need to be standardized.

[0066] Step 203: Conduct cluster analysis within the planning area on the evaluation results of N planning units to obtain the types and spatial distributions of ecosystem service clusters.

[0067] An ecosystem service cluster is obtained by clustering the combinations of ecosystem services provided by planning units. The type of an ecosystem service cluster is determined by the characteristics of the combination of ecosystem services and is used to represent the dominant service function in space.

[0068] A combination of ecosystem services is composed of at least two types of ecosystem services. For example, regulating services and recreational services can be used as one type of combination of ecosystem services, and regulating services, supporting services, and provisioning services can be used as another type of combination of ecosystem services. If the types of ecosystem services included in different combinations of ecosystem services are different, it means the combinations of ecosystem services are different. For example, the two types of combinations of ecosystem services exemplified above are different. And / or, each type of ecosystem service is composed of at least one service of the same type. If different combinations of ecosystem services have the same type of ecosystem services but different service compositions, it means the combinations of ecosystem services are different. For example, the first type of combination of ecosystem services includes regulating services containing soil and water conservation and climate regulation, and provisioning services containing timber, while the second type of combination of ecosystem services includes regulating services containing soil and water conservation and water quality purification, and provisioning services containing food. The first type and the second type of combinations of ecosystem services belong to different combinations.

[0069] The cluster analysis within the planning area on the evaluation results of N planning units can be carried out based on the similarity of the types of ecosystem services in the combination of ecosystem services; or based on the similarity of the types of ecosystem services in the combination of ecosystem services and the similarity of the service compositions in each ecosystem service; or based on the similar attributes or trade-off and synergy relationships of the ecosystem services between different combinations of ecosystem services.

[0070] After clustering, the first thing obtained is the ecosystem service cluster. An ecosystem service cluster refers to the aggregation of ecosystem services that repeatedly appear in space, which is the aggregation of services with similar attributes or trade-off and synergy relationships. Cluster analysis is performed on the evaluation results of N planning units to obtain at least one type of ecosystem service cluster. Further, analyze the characteristics of the ecosystem service combinations within each type of ecosystem service cluster to determine the type of the ecosystem service cluster; and map the ecosystem service cluster into the space of the planning area to obtain the spatial distribution of the ecosystem service cluster.

[0071] Exemplarily, the K-means clustering algorithm can be called to identify and divide the ecosystem service clusters with similar ecosystem service compositions. First, determine the optimal number of clusters through the fviz_nbclust function of the "factoextra" package in R software, and then perform cluster analysis on multiple (i.e., two or more) evaluation results through the built-in K-means clustering algorithm in R software, that is, at least one type of ecosystem service cluster is obtained. Second, map and integrate the analyzed ecosystem service clusters into space through the Arc Geographic Information System (ArcGIS) to obtain the spatial distribution of the ecosystem service clusters; through statistical methods, obtain the internal ecosystem service composition characteristics of each type of ecosystem service cluster, that is, the characteristics of the ecosystem service combination, and analyze the type of the ecosystem service cluster based on this characteristic. Among them, the type of the ecosystem service cluster can be represented by the dominant service function of the ecosystem service combination. For example, if the dominant service function of the ecosystem service combination is regulatory service, the corresponding type of the ecosystem service cluster is the regulatory service. Optionally, the types of the ecosystem service clusters include but are not limited to at least one of the following: support service type, regulatory service type, cultural service type, supply service type, and biodiversity type. The ecosystem service cluster of the regulatory service type can be called the regulatory service cluster, the ecosystem service cluster of the cultural service type can be called the cultural service cluster, the ecosystem service cluster of the biodiversity type can be called the biodiversity cluster, and so on.

[0072] In the embodiments of the present application, the order of determining the type and spatial distribution of the ecosystem service cluster is not limited. The type of the ecosystem service cluster can be determined first, and then the spatial distribution of the ecosystem service cluster can be determined; or the spatial distribution of the ecosystem service cluster can be determined first, and then the type of the ecosystem service cluster can be determined; or the two steps of determining the type of the ecosystem service cluster and determining the spatial distribution of the ecosystem service cluster can be performed simultaneously.

[0073] Step 204, based on the green space within the planning area, and the type and spatial distribution of the ecosystem service cluster, determine the ecological source area and the type of the ecological source area.

[0074] The planned area includes green spaces. Based on the types and spatial distributions of ecosystem service clusters, ecological source areas are identified in the green spaces. For example, by performing an overlay analysis of the spatial distribution of ecosystem service clusters and the green spaces within the planned area, the green spaces in the areas where the ecosystem service clusters are distributed are determined as ecological source areas; and the types of the ecosystem service clusters corresponding to the ecological source areas are determined as the types of the ecological source areas. For example, ecological source areas of the regulating service type can be called regulating service source areas, ecological source areas of the biodiversity type can be called biodiversity protection source areas, ecological source areas of the cultural service type can be called cultural service source areas, and so on.

[0075] Step 205: Based on the types of ecological source areas, construct corridors between ecological source areas of the same type to form a green space network.

[0076] Based on the types of ecological source areas, the ecological source areas are grouped, and ecological source areas of the same type are grouped into the same group to obtain at least one group. Corridors are constructed for ecological source areas of the same type within each group to form a green space network. Optionally, the corridors include at least one of ecological corridors and greenways.

[0077] In summary, the method for planning a green space network based on ecosystem service clusters provided in this embodiment, in the process of planning the green space network of a region, obtains relevant basic data within the planned area, evaluates the ecosystem services of the planned area based on these relevant basic data, divides the planned area into planning units, extracts the ecosystem service evaluation results of each planning unit, performs cluster analysis on the evaluation results of multiple planning units within the planned area, clusters the ecosystem service combinations provided by the planning units to obtain ecosystem service clusters, determines the types and spatial distributions of the ecosystem service clusters, uses the types of the ecosystem service clusters to characterize the dominant service functions in the ecosystem service combinations provided by the planning units, and then determines the ecological source areas and their types in the green space based on the types and spatial distributions of the ecosystem service clusters, and directly constructs corridors between ecological source areas of the same type to enhance the co-action of the same dominant service functions between ecological source areas of the same type in the green space network.

[0078] To more accurately identify ecological source areas, relevant data from multiple time periods can be used for analysis to determine the areas with relatively strong stability of ecosystem services within the green space as ecological source areas. The method for planning the green space network based on this is as Figure 3 shown, and the steps are as follows:

[0079] Step 301: Obtain the relevant basic data for calculating ecosystem services within the planned area for each of at least two time periods. The planned area includes N planning units.

[0080] Step 302: Based on the relevant basic data for each time period, evaluate the ecological service system of the planned area for each time period to obtain the evaluation results of each planning unit for each time period.

[0081] Step 303: Conduct cluster analysis within the planned area on the evaluation results of the N planning units for each time period to obtain the types and spatial distributions of the ecological service clusters for each time period.

[0082] For the identification of ecological source areas and ecological nodes, data from multiple time periods are used for analysis. Among them, there is no overlap between each of the multiple (including two or more) time periods. The duration of the time period can be in units of years, seasons, months, etc. For example, 1 year, 2 years, 3 years, etc. The multiple time periods can be consecutive. For example, the first time period is the year 2000, the second time period is the year 2001, and the third time period is the year 2002. There can be a preset time interval between adjacent time periods among the multiple time periods. For example, the adjacent time periods are set at equal time intervals; and the value of the time interval can be in units of years. For example, the value is 5 years, 10 years, 15 years, etc. Exemplarily, the first time period is the year 1990, the second time period is the year 2005, and the third time period is the year 2020, and the equal time interval between the three time periods is 15 years.

[0083] During the planning process, for each of the multiple time periods, execute Figure 2 Steps 201 to 203 in the embodiment shown to obtain the types and spatial distributions of the ecological service clusters for each time period. For example, the multiple time periods include 1990, 2005, and 2020. Perform the operations shown in Steps 201 to 203 for each time period to obtain the types and spatial distributions of the ecological service clusters in 1990, the types and spatial distributions of the ecological service clusters in 2005, and the types and spatial distributions of the ecological service clusters in 2020.

[0084] It should be noted that in the embodiments of the present application, the order of executing the above Steps 201 to 203 for multiple time periods is not limited. It can be executed according to the data processing order for multiple time periods; it can also be synchronized for the data processing of multiple time periods; it can also be executed or synchronized according to the data processing order for multiple time periods at each step. As shown in Steps 301 to 303 in this embodiment, that is, obtain the relevant basic data within the planned area for each time period among the multiple time periods, then evaluate the ecological service of the planned area based on the relevant basic data for each time period, and then extract the evaluation results of each planning unit for that time period. After that, conduct cluster analysis within the planned area on the evaluation results of the N planning units for each time period to obtain the types and spatial distributions of the ecological service clusters for that time period.

[0085] In addition, the step of "determining the ecological source areas and their types based on the green spaces within the planning area and the types and spatial distributions of ecosystem service clusters" can be implemented through the following steps 304 to 308.

[0086] Step 304: Conduct an overlay analysis of the spatial distribution of ecosystem service clusters and the green spaces within the planning area to determine the types of ecosystem service clusters corresponding to each green space.

[0087] After obtaining the types and spatial distributions of ecosystem service clusters, select a time period. Based on the spatial distribution of ecosystem service clusters during this time period, map the ecosystem service clusters corresponding to each green space within the planning area. Further, determine the types of ecosystem service clusters corresponding to each green space. The above-mentioned time period can be randomly selected from multiple time periods; or it can be the first time period among multiple time periods, that is, the time period farthest from the current moment among multiple time periods; or it can be the last time period among multiple time periods, which can also be called the nearest time period, that is, the time period closest to the current moment among multiple time periods.

[0088] Taking the selection of the nearest time period as an example, it is necessary to conduct an overlay analysis of the spatial distribution of ecosystem service clusters in the nearest time period and the green spaces within the planning area to determine the types of ecosystem service clusters corresponding to each green space. For example, by conducting an overlay analysis in ArcGIS, the ecosystem service clusters and the dominant service functions of green spaces at different spatial positions can be obtained.

[0089] Step 305: Based on the spatial distribution of ecosystem service clusters in each time period, determine the types of ecosystem service clusters of each planning unit in each time period.

[0090] For each time period, conduct an overlay analysis of the spatial distribution of ecosystem service clusters and the planning area, and map the ecosystem service clusters of each planning unit in each time period. Further, determine the types of ecosystem service clusters of each planning unit in each time period.

[0091] After determining the types of ecosystem service clusters of each planning unit in multiple time periods, conduct an analysis of the change trajectories of ecosystem services for each planning unit to obtain the change trajectory types of each planning unit, and the ecological source areas can be accurately identified based on this, as shown in the following steps 306 to 307.

[0092] Step 306: Determine the planning units whose types of ecosystem service clusters have not changed in at least two time periods as stable planning units.

[0093] When the types of ecosystem service clusters in a planning unit are consistent over multiple time periods, it is determined that the types of ecosystem service clusters in the planning unit have not changed over multiple time periods, and the planning unit is determined as a stable planning unit.

[0094] Optionally, determine the change types of the types of ecosystem service clusters in each planning unit over at least two time periods; when the change type is stable, determine the planning unit as a stable planning unit, where stable is used to indicate that the types of ecosystem service clusters have not changed over at least two time periods.

[0095] In some embodiments, for the determination of the change type, spatio-temporal dynamic analysis of ecosystem service clusters can be performed by the stability mapping change trajectory method, so as to determine the change type of each planning unit and obtain stable planning units from multiple planning units.

[0096] In other embodiments, for the determination of the change type, determine the change parameters corresponding to each planning unit, where the change parameters include at least one of similarity, number of changes, and diversity; based on the change parameters of each planning unit, determine the change type of each planning unit. For example, referring to Table 1, it is calculated that the number of changes of a certain planning unit is 0, and the planning unit is determined as a stable planning unit.

[0097] In other embodiments, for the determination of the change type, first number the types of multiple ecosystem service clusters; secondly, use the numbers to represent the evolution trajectories of the types of multiple ecosystem service clusters corresponding to each planning unit to obtain the evolution trajectory codes of each planning unit; determine the trajectory types corresponding to the evolution trajectory codes of each planning unit, which are the change types of each planning unit.

[0098] When analyzing the spatio-temporal dynamic trajectories of ecosystem service clusters for N time periods, the calculation formula for the evolution trajectory code of a planning unit is as follows:

[0099] C 规划单元 =10 (N-1) ×A1+10 (N-2) ×A2…+10×A N-1 +A N ;

[0100] In the formula: C 规划单元 represents the change type of the ecosystem service cluster of each planning unit, and A1, 10A2, …, A N represent the type numbers of the ecosystem service clusters of each planning unit in the 1st time period, the 2nd time period, …, the Nth time period.

[0101] Referring to Table 1, taking the change trajectory of the ecosystem service clusters within the time line of 1990 - 2005 - 2020 as an example, the calculation formula for the evolution trajectory code of each planning unit is as follows:

[0102] C 规划单元 = 100A 1990 + 10A 2005 + A 2020 ;

[0103] In the formula: C 规划单元 represents the change type of the ecosystem service cluster of each planning unit, and A 1990 , 10A 2005 , A 2020 represent the type numbers of the ecosystem service clusters of each planning unit in 1990, 2005, and 2020.

[0104] Table 1 Classification of the change trajectories of ecosystem service clusters

[0105] Type Stable type Gradual change type Periodic type Fluctuating type Typical example AAA AAB, ABB ABA ABC Number of changes 0 1 2 2 Diversity 1 2 2 3 Similarity 3 2 2 1

[0106] Exemplarily, the determination of the above - mentioned trajectory type can be determined through the pre - set corresponding relationship between the evolution trajectory code and the trajectory type; or, it can also be based on the evolution trajectory codes of each planning unit to calculate the change parameters corresponding to each planning unit, and then based on the change parameters of each planning unit, to determine the change type of each planning unit.

[0107] Among them, the change parameters in the embodiments of this application include at least one of similarity, change times, and diversity; among them, similarity refers to the number of times that a planning unit experiences the same type of ecosystem service cluster in different time periods; change times refers to the number of changes in the type of ecosystem service cluster between adjacent time periods of a planning unit; diversity refers to the number of types of ecosystem service clusters experienced by a planning unit in at least two time periods.

[0108] Step 307, determine the overlapping space between the stable planning unit and the green space as the ecological source area.

[0109] After the change type of each planning unit is determined, the change type of each planning unit can be mapped to the spatial distribution, for example, mapped to the space of the planning area through ArcGIS to obtain the spatial distribution of the change type within the planning area; based on the spatial distribution of the change type, determine the stable area within the planning area; or, the change type of the stable planning unit can also be directly mapped to the spatial distribution to determine the stable area within the planning area. Further, overlay the stable area with the green space, and extract the green space where the stable area is located as the ecological source area.

[0110] Step 308: Determine the type of the ecological source area as the type of the ecological system service cluster corresponding to the green space where the ecological source area is located.

[0111] After determining the ecological source areas, based on the type of the ecological system service cluster corresponding to the green space where the ecological source areas are located, divide the ecological source areas into ecological source areas with different dominant service functions. For example, demarcate the stable green spaces within the biodiversity cluster, regulation service cluster, and cultural service cluster as biological protection source areas, regulation service source areas, cultural service source areas, etc., respectively.

[0112] Step 309: Based on the type of the ecological source areas, construct corridors between the ecological source areas of the same type to form a green space network.

[0113] Based on the type of the ecological source areas, group the ecological source areas, divide the ecological source areas of the same type into the same group to obtain at least one group, and construct corridors between the ecological source areas of the same type within each group to form a green space network. Optionally, the corridor includes at least one of an ecological corridor and a greenway.

[0114] In summary, the green space network planning method based on the ecological system service cluster provided in this embodiment can more accurately identify various types of ecological source areas from the green space through the analysis of the change trajectories of the ecological system service clusters of each planning unit, and then directly construct corridors between the ecological source areas of the same type, enhancing the co-action of the same dominant service functions between the ecological source areas of the same type in the green space network.

[0115] During the planning process of the green space network, ecological nodes within the planning area can also be identified to construct corridors between the ecological source areas as "stepping stones". Exemplarily, on the basis of the Figure 3 shown embodiment, the identification of ecological nodes is added, and Step 309 can be implemented through Step 3091 and Step 3092. As Figure 4 shown, the steps are as follows:

[0116] Step 306': Determine the non-stable planning units as the planning units in which the types of the ecological system service clusters change according to a predetermined trajectory at least in two time periods.

[0117] Optionally, the non-stable type includes at least one of a gradual change type, a periodic type, and a fluctuating type.

[0118] If the types of ecosystem service clusters of each planning unit change according to a predetermined trajectory over multiple time periods, the change type of each planning unit can be determined; in the case where the change type is unstable, the planning unit is determined as an unstable planning unit. For example, when the change type is a gradual change type, the planning unit is determined as a gradually changing planning unit; when the change type is a periodic type, the planning unit is determined as a periodic planning unit; when the change type is a fluctuating type, the planning unit is determined as a fluctuating planning unit.

[0119] For the determination of the change type, the determination method described in step 306 can be referred to, which will not be elaborated here.

[0120] Step 307’, based on the unstable planning units, determine ecological nodes.

[0121] After the change types of each planning unit are determined, the change types of the unstable planning units can be mapped to the spatial distribution to determine the unstable areas in the planning area. Further, the unstable areas are overlaid with the green space, and the green space where the unstable areas are located is extracted as ecological nodes.

[0122] In some alternative embodiments, step 307 and step 307’ can be replaced by the following steps to implement:

[0123] After the change types of each planning unit are determined, the change types of each planning unit can be mapped to the spatial distribution to obtain the spatial distributions of various change types within the planning area. For example, they are mapped to the space of the planning area through ArcGIS to obtain the spatial distributions of stable, gradually changing, periodic, and fluctuating areas; based on the spatial distributions of various change types, the areas of various change types in the planning area are determined. Various change types include stable and unstable types. Correspondingly, the areas of their respective change types include stable areas and unstable areas. The stable areas are overlaid with the green space, and the green space where the stable areas are located is extracted as ecological source areas; and the unstable areas are overlaid with the green space, and the green space where the unstable areas are located is extracted as ecological nodes; for example, the gradually changing, periodic, and fluctuating areas are identified as key ecological nodes, and the gradually changing, periodic, and fluctuating areas respectively have important functions such as key conservation, key monitoring, and priority restoration.

[0124] 3091, based on the types of ecological source areas, group the ecological source areas of the same type into the same group to obtain at least one group.

[0125] For example, multiple biological protection source areas are grouped into the first group, multiple regulation service source areas are grouped into the second group, multiple cultural service source areas are grouped into the third group, etc.

[0126] 3092. Using ecological nodes as connection points between ecological source areas, corridors are formed between the same type of ecological source areas within each group, creating a green space network.

[0127] The planning of the green space network can be achieved by invoking models or algorithms. For example, the circuit theory model or the minimum cumulative resistance model can be invoked to construct corridors between the same type of ecological source areas. The ecological nodes are shared when constructing corridors for each group of source areas to ensure that each group of corridors passes through these key nodes and finally forms a green space network. For example, a biological migration corridor is constructed between biological protection source areas, an ecological corridor is constructed between regulating service source areas, and a recreational greenway is constructed between cultural service source areas.

[0128] Corridors have their respective functions, and the functions of corridors are used to characterize the services that corridors can provide, such as migration, recreation, etc. Corridors can be classified according to their functions. For example, they can be divided into biological migration corridors, recreational greenways, etc.

[0129] Exemplarily, when constructing corridors using the above models in groups, the resistance surface can be constructed according to the functions of each group of ecological source areas and corridors. For example, for a biological migration corridor, a biological migration resistance distribution map can be constructed. By assigning values to land use types, grading elevation slopes, and using the night light index and the reciprocal of habitat quality to represent the degree of biological threat, a grid of cumulative resistance values for biological migration can be obtained. Another example is that the resistance surface used to construct an ecological corridor can be analyzed by considering indicators such as the distance to water bodies, forest coverage rate, and vegetation index. Another example is that the construction of the resistance surface of a recreational greenway should consider indices such as road density, traffic accessibility, and the distribution density of scenic interest points.

[0130] Exemplarily, as Figure 5 shown, an example is given for the process of green space network planning using various models and methods provided in the embodiments of the present application:

[0131] 501, InVEST model and other methods.

[0132] The electronic device obtains relevant basic data such as land use data, natural geography data, climate data, and social and economic data within the planning area at multiple time periods. Taking these data as input data, data processing is performed through the InVEST model and other methods to obtain the ecosystem service evaluation (i.e., the evaluation result) of each planning unit in terms of regulating services, supporting services, provisioning services, and cultural services at each time period.

[0133] 502, K-means clustering analysis.

[0134] Perform K-means clustering analysis on the evaluation results of multiple planning units at each time period to obtain the spatial distribution and dominant service functions of the ecosystem service clusters at each time period.

[0135] 503, the stable mapping change trajectory method.

[0136] After that, by overlaying the spatial distribution of the ecosystem service clusters in a time period with the green space, the dominant service function of the green space can be obtained; and the stable mapping change trajectory method is also used to analyze the type change trajectories of the ecosystem service clusters of each planning unit in multiple time periods, obtaining the spatial distributions of various types of planning units such as stable type, gradual change type, periodic type, and fluctuation type; overlaying the spatial distributions of various types of planning units with the green space, determining the stable areas in the green space as ecological source areas, and determining the dominant service function of the green space where the stable areas are located as the dominant service function of these ecological source areas, different dominant function ecological source areas such as biological protection source areas, regulation service source areas, and cultural service source areas can be obtained, and determining the gradual change areas, periodic areas, and fluctuation areas in the green space as key ecological nodes.

[0137] 504, the circuit theory model or the MCR model.

[0138] Taking the ecological source areas and ecological nodes as inputs, calling the circuit theory model or the Minimum Cumulative Resistance (MCR) to construct ecological corridors and recreational greenways, and the ecological corridors, recreational greenways, ecological nodes, and ecological source areas together form a green space network.

[0139] In summary, the green space network planning method based on ecosystem service clusters provided in this embodiment can more accurately identify various types of ecological source areas and ecological nodes from the green space through the analysis of the change trajectories of the ecosystem service clusters of each planning unit, and then group to construct corridors between the ecological source areas of the same type. By adopting the method of first identifying ecological nodes and then constructing corridors, the "stepping stone" role of ecological nodes in corridor construction is exerted, reducing the potential cost of corridor construction.

[0140] This method distinguishes multiple ecological source areas in terms of the dominant service function by analyzing the ecosystem service clusters, which is beneficial to the construction of corridors and the integration of interactions between ecological source areas of the same type. At the same time, through the spatio-temporal trajectory analysis of the ecosystem service clusters, the key areas where the ecosystem services are affected are identified as ecological nodes, which is beneficial to constructing a more stable and efficient green space network.

[0141] The multi-functional green space network planning method based on ecosystem service clusters provided by the embodiments of the present application can coordinate ecological benefits and social benefits to meet multi-objective spatial planning. By identifying ecological source areas and ecological nodes through ecosystem service clusters and their change trajectories, it helps to provide functional directions for protection or restoration and spatial site selection references for nature reserves and ecological restoration projects, and helps to guide the planning of urban green space networks under the future global climate background to achieve sustainable ecosystem service protection and management.

[0142] In one possible implementation, Figures 2 to 4 At least two of the time periods in the illustrated embodiments include at least one of a historical time period and a future time period. That is, in addition to the multi-year ecosystem services in history, the predicted results of future ecosystem services can also be incorporated to identify future potential ecosystem service change areas as ecological nodes. For example, multiple time periods can include two historical time periods of 1990 and 2020 and the future time period of 2050.

[0143] If the evaluation of ecosystem services is carried out for the historical time period, it can be implemented by referring to the steps in the above three embodiments; if the evaluation of ecosystem services is carried out for the future time period, relevant data of other historical time periods can be used to predict the relevant basic data of the future time period, and then the evaluation of ecosystem services can be carried out. Among them, other historical time periods can include the historical time periods in at least two time periods, or can also include other historical time periods other than the historical time periods in at least two time periods.

[0144] Exemplarily, obtain the relevant data of other historical time periods, input it into a prediction model or prediction algorithm, and predict the relevant basic data of the future time period; then, based on the relevant basic data of the future time period (such as ecosystem services), determine the type and distribution space of the ecosystem service clusters in the planning area in the future time period. This process can refer to the method for determining the type and distribution space of the ecosystem service clusters in the historical time period in the above embodiments; subsequently, combined with the type and distribution space of the ecosystem service clusters in the historical time period and / or other future time periods, construct a green space network, and this process can also refer to the implementation method in the above embodiments.

[0145] Taking the years 1990, 2020, and 2050 as examples, the implementation methods are as follows: For the evaluation of ecosystem services and the identification method of ecosystem service clusters in 1990 and 2020, refer to the above three embodiments. For the prediction of ecosystem services in 2050, first, future scenarios need to be set for land use simulation. Here, the combined scenarios of Shared Socioeconomic Pathways (SSPs) and Representative Concentration Pathways (RCPs) provided by the Sixth Coupled Model Intercomparison Project (CMIP6) are used, and representative scenarios suitable for the development characteristics of the study area (i.e., the planning area) are selected. For example, the SSP245 scenario, climate variable data and socioeconomic data under the SSP245 scenario in 2050 are obtained, and these data are used to predict the land use distribution and ecosystem services in 2050. To predict the land use distribution in 2050, historical land use data from 2005 and 2020 are required, and various land use expansion areas are extracted. Factors affecting land use change are selected, including climate and natural data (precipitation, temperature, altitude, slope, etc.), socioeconomic factors (population density, Gross Domestic Product (GDP), distance from various roads, etc.). As a feasible implementation method, the Patch-generating Land Use Simulation (PLUS) model can be used to analyze the contribution of various factors to each land use expansion and obtain the suitability probability distribution raster of each land use expansion, and the simulation and verification of future land use in 2050 are carried out. The simulated land use data in 2050 and the climate data in 2050 are applied to the evaluation of ecosystem services in 2050. Subsequently, the identification of ecosystem service clusters, the analysis of the change trajectory of ecosystem service clusters along the 1990 - 2020 - 2050 SSP245 timeline, the extraction of ecological source areas and ecological nodes, and the construction of the corridor network are the same as the methods described above.

[0146] Green space network planning device based on ecosystem service clusters

[0147] Corresponding to the above method embodiments, Figure 6 a schematic diagram of a green space network planning device based on ecosystem service clusters is shown. As Figure 6 shown, the green space network planning device based on ecosystem service clusters includes:

[0148] An acquisition module 601, configured to acquire relevant basic data for calculating ecosystem services within a planned area; the planned area includes N planned units, and N is equal to or greater than the minimum sample size of a predefined cluster analysis;

[0149] An evaluation module 602, configured to evaluate the ecosystem services of the planned area based on the relevant basic data, and obtain evaluation results of each planned unit;

[0150] A cluster analysis module 603, configured to perform cluster analysis within the planned area on the evaluation results of the N planned units to obtain the types and spatial distributions of ecosystem service clusters; an ecosystem service cluster is obtained by clustering the combinations of ecosystem services provided by the planned units, and the type of the ecosystem service cluster is determined by the characteristics of the combination of ecosystem services and is used to characterize the dominant service function of the space;

[0151] A determination module 604, configured to determine ecological source areas and the types of ecological source areas based on the green spaces within the planned area, and the types and spatial distributions of ecosystem service clusters;

[0152] A construction module 605, configured to construct corridors between ecological source areas of the same type based on the types of ecological source areas to form a green space network.

[0153] In another possible implementation, the types and spatial distributions of ecosystem service clusters include: the types and spatial distributions of ecosystem service clusters in at least two time periods, and there is no overlap between the various time periods in the at least two time periods;

[0154] The determination module 604 includes a first determination unit 6041, a second determination unit 6042, and a third determination unit 6043;

[0155] The first determination unit 6041 is configured to perform overlay analysis on the spatial distribution of the ecosystem service clusters and the green spaces within the planned area to determine the types of ecosystem service clusters corresponding to each green space; and

[0156] The second determination unit 6042 is configured to determine the types of ecosystem service clusters of each planned unit in each time period based on the spatial distribution of the ecosystem service clusters in each time period; determine the planned units whose types of ecosystem service clusters have not changed in at least two time periods as stable planned units; and determine the overlapping spaces between the stable planned units and the green spaces as ecological source areas;

[0157] The third determination unit 6043 is configured to determine the type of the ecosystem service cluster corresponding to the green space where the ecological source area is located as the type of the ecological source area.

[0158] In another possible implementation, the second determination unit 6042 is configured to determine the change type of the types of ecosystem service clusters of each planning unit over at least two time periods; in the case where the change type is a stable type, determine the planning unit as a stable planning unit, where the stable type is used to indicate that the types of ecosystem service clusters have not changed over at least two time periods.

[0159] In another possible implementation, the second determination unit 6042 is configured to determine the change parameters corresponding to each planning unit, where the change parameters include at least one of similarity, number of changes, and diversity; based on the change parameters of each planning unit, determine the change type of each planning unit.

[0160] Among them, similarity refers to the number of times that a planning unit experiences the same type of ecosystem service cluster at different time periods; the number of changes refers to the number of changes in the types of ecosystem service clusters between adjacent time periods of a planning unit; diversity refers to the number of types of ecosystem service clusters experienced by a planning unit within at least two time periods.

[0161] In another possible implementation, the determination module 604 includes a fourth determination unit 6044; the construction module 605 includes a grouping unit 6051 and a construction unit 6052.

[0162] The fourth determination unit 6044 is configured to determine a planning unit whose types of ecosystem service clusters change along a predetermined trajectory over at least two time periods as an unstable planning unit; based on the unstable planning units, determine ecological nodes.

[0163] The grouping unit 6051 is configured to group the same type of ecological source areas into the same group based on the type of ecological source areas, to obtain at least one group.

[0164] The construction unit 6052 is configured to use the ecological nodes as connection points between ecological source areas, and form a green space network for the corridors between the same type of ecological source areas within each group.

[0165] In another possible implementation, the at least two time periods include at least one of a historical time period and a future time period.

[0166] In another possible implementation, the clustering analysis module 603 is configured to perform clustering analysis on the evaluation results of N planning units to obtain at least one type of ecosystem service cluster; analyze the characteristics of the ecosystem service combinations within each type of ecosystem service cluster to determine the type of ecosystem service cluster; and map the ecosystem service clusters into the space of the planning area to obtain the spatial distribution of the ecosystem service clusters.

[0167] It should be noted that the green space network planning device based on ecosystem service clusters in this embodiment is used to implement the corresponding green space network planning method based on ecosystem service clusters in the foregoing method embodiments, and has the beneficial effects of the corresponding method embodiments, which will not be elaborated here.

[0168] Electronic device

[0169] Figure 7 It is a schematic block diagram of an electronic device provided by an embodiment of the present application. The specific implementation of the electronic device is not limited in the specific embodiments of the present application. As Figure 7 shown, the electronic device may include: a processor 702, a communication interface 704, a memory 706, and a communication bus 708. Among them:

[0170] The processor 702, the communication interface 704, and the memory 706 communicate with each other through the communication bus 708.

[0171] The communication interface 704 is used to communicate with other electronic devices or servers.

[0172] The processor 702 is used to execute the program 710, and specifically can execute the relevant steps in any of the foregoing method embodiments of the green space network planning method based on ecosystem service clusters.

[0173] Specifically, the program 710 may include program code, and the program code includes computer operation instructions.

[0174] The processor 702 may be a CPU, or a specific integrated circuit ASIC (Application Specific Integrated Circuit), or one or more integrated circuits configured to implement the embodiments of the present application. One or more processors included in the intelligent device may be of the same type of processor, such as one or more CPUs; or may be of different types of processors, such as one or more CPUs and one or more ASICs.

[0175] RISC-V is an open-source instruction set architecture based on the principles of reduced instruction set computing (RISC). It can be applied to various aspects such as microcontrollers and FPGA chips, and can be specifically used in fields such as Internet of Things security, industrial control, mobile phones, and personal computers. Moreover, due to the consideration of small size, high speed, and low power consumption during its design, it is particularly suitable for modern computing devices such as warehouse-scale cloud computers, high-end mobile phones, and tiny embedded systems. With the rise of artificial intelligence Internet of Things (AIoT), the RISC-V instruction set architecture has received increasing attention and support, and is expected to become the next-generation CPU architecture widely used.

[0176] The computer operation instructions in the embodiments of this application can be computer operation instructions based on the RISC-V instruction set architecture. Correspondingly, the processor 702 can be designed based on the RISC-V instruction set. Specifically, the chip of the processor in the electronic device provided in the embodiments of this application can be a chip designed using the RISC-V instruction set. This chip can execute executable code based on the configured instructions, thereby implementing the method for green space network planning based on the ecosystem service cluster in the above embodiments.

[0177] The memory 706 is used to store the program 710. The memory 706 may include high-speed RAM memory, and may also include non-volatile memory, such as at least one disk memory.

[0178] The program 710 can specifically be used to cause the processor 702 to execute the method for green space network planning based on the ecosystem service cluster in any of the foregoing embodiments.

[0179] For the specific implementation of each step in the program 710, reference can be made to the corresponding steps and descriptions in the corresponding units in any of the foregoing embodiments of the method for green space network planning based on the ecosystem service cluster, which will not be elaborated here. Those skilled in the art can clearly understand that for the convenience and conciseness of description, the specific working processes of the devices and modules described above can refer to the corresponding process descriptions in the foregoing method embodiments, which will not be repeated here.

[0180] Computer storage medium

[0181] This application also provides a computer-readable storage medium storing instructions for causing a machine to execute the method for green space network planning based on the ecosystem service cluster as described herein. Specifically, a system or device equipped with a storage medium can be provided. On this storage medium, software program code for implementing the functions in any of the foregoing embodiments is stored, and the computer (or CPU or MPU) of the system or device is caused to read and execute the program code stored in the storage medium.

[0182] In this case, the program code read from the storage medium itself can implement the functions of any of the above-described embodiments, so the program code and the storage medium storing the program code constitute a part of this application.

[0183] Examples of the storage medium for providing the program code include floppy disks, hard disks, magneto-optical disks, optical disks (such as CD-ROM, CD-R, CD-RW, DVD-ROM, DVD-RAM, DVD-RW, DVD+RW), magnetic tapes, non-volatile memory cards, and ROMs. Optionally, the program code can be downloaded from a server computer via a communication network.

[0184] Computer program product

[0185] An embodiment of this application also provides a computer program product, including computer instructions that direct a computing device to perform any corresponding operation in the above-described multiple method embodiments.

[0186] It should be noted that, according to the needs of implementation, each component / step described in the embodiments of this application can be split into more components / steps, or two or more components / steps or partial operations of the components / steps can be combined into a new component / step to achieve the purpose of the embodiments of this application.

[0187] The above method according to the embodiments of this application can be implemented in hardware, firmware, or be implemented as software or computer code that can be stored in a recording medium (such as a CD ROM, RAM, floppy disk, hard disk, or magneto-optical disk), or be implemented as computer code originally stored in a remote recording medium or a non-transitory machine-readable medium and downloaded via a network and to be stored in a local recording medium, so that the method described herein can be stored on such a software process on a recording medium using a general-purpose computer, a dedicated processor, or programmable or dedicated hardware (such as an ASIC or FPGA). It can be understood that a computer, a processor, a microprocessor controller, or programmable hardware includes a storage component (such as a RAM, a ROM, a flash memory, etc.) that can store or receive software or computer code, and when the software or computer code is accessed and executed by the computer, the processor, or the hardware, the method described herein is implemented. In addition, when a general-purpose computer accesses the code for implementing the method shown herein, the execution of the code converts the general-purpose computer into a dedicated computer for executing the method shown herein.

[0188] Those of ordinary skill in the art can realize that the units and method steps of the examples described in combination with the embodiments disclosed herein can be implemented by electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are executed in a hardware or software manner depends on the specific application and design constraints of the technical solution. Professional technicians can use different methods to implement the described functions for each specific application, but such implementation should not be considered to exceed the scope of the embodiments of this application.

[0189] The above embodiments are only used to illustrate the embodiments of this application, rather than to limit the embodiments of this application. Those of ordinary skill in the relevant technical field can also make various changes and modifications without departing from the spirit and scope of the embodiments of this application. Therefore, all equivalent technical solutions also belong to the scope of the embodiments of this application, and the patent protection scope of the embodiments of this application should be defined by the claims.

Claims

1. A green space network planning method based on ecosystem service clusters, characterized in that, The method includes: Obtaining relevant basic data for calculating ecosystem services within a planning area; the planning area includes N planning units, and N is equal to or greater than the minimum sample size of predefined cluster analysis; Evaluating the ecosystem services of the planning area based on the relevant basic data to obtain the evaluation results of each of the planning units; Performing cluster analysis within the planning area on the evaluation results of the N planning units to obtain the types and spatial distributions of ecosystem service clusters; the ecosystem service clusters are obtained by clustering the combinations of ecosystem services provided by the planning units, and the types of the ecosystem service clusters are determined by the characteristics of the combinations of ecosystem services and are used to characterize the dominant service functions in space; the types and spatial distributions of the ecosystem service clusters include: the types and spatial distributions of ecosystem service clusters in at least two time periods, and there is no overlap between the time periods in the at least two time periods; Performing overlay analysis on the spatial distribution of the ecosystem service clusters and the green spaces within the planning area to determine the types of ecosystem service clusters corresponding to each of the green spaces; and Based on the spatial distribution of the ecosystem service clusters in each time period, determining the types of ecosystem service clusters of each of the planning units in each of the time periods; determining the planning units whose types of ecosystem service clusters have not changed in the at least two time periods as stable planning units; and determining the overlapping spaces of the stable planning units and the green spaces as ecological source areas; Determining the type of the ecosystem service cluster corresponding to the green space where the ecological source area is located as the type of the ecological source area; Determining the planning units whose types of ecosystem service clusters change along a predetermined trajectory in the at least two time periods as unstable planning units; and determining ecological nodes based on the unstable planning units; Based on the types of the ecological source areas, dividing the ecological source areas of the same type into the same group to obtain at least one group; using the ecological nodes as the connection points between the ecological source areas, constructing corridors between the ecological source areas of the same type within each group to form a green space network.

2. The method according to claim 1, wherein The determining the planning units whose types of ecosystem service clusters have not changed in the at least two time periods as stable planning units includes: Determining the change types of the types of ecosystem service clusters of each of the planning units in the at least two time periods; When the change type is stable, determining the planning unit as a stable planning unit, where the stable type is used to indicate that the types of ecosystem service clusters have not changed in the at least two time periods.

3. The method according to claim 2, wherein The determining the change types of the types of ecosystem service clusters of each of the planning units in the at least two time periods includes: Determining the change parameters corresponding to each of the planning units, where the change parameters include at least one of similarity, number of changes, and diversity; Based on the change parameters of each of the planning units, determining the change types of each of the planning units; Among them, the similarity refers to the number of times that a planning unit experiences the same type of ecosystem service clusters in different time periods; the change number refers to the number of changes in the types of ecosystem service clusters between adjacent time periods of a planning unit; the diversity refers to the number of types of ecosystem service clusters experienced by a planning unit within the at least two time periods.

4. The method according to any one of claims 1 to 3, characterized in that, The at least two time periods include at least one of a historical time period and a future time period.

5. The method according to any one of claims 1 to 3, characterized in that, Performing clustering analysis on the evaluation results of the N planning units within the planning area to obtain the types and spatial distributions of ecosystem service clusters, including: Performing clustering analysis on the evaluation results of the N planning units to obtain at least one type of the ecosystem service clusters; Analyzing the characteristics of the ecosystem service combinations within each type of the ecosystem service clusters to determine the types of the ecosystem service clusters; and Mapping the ecosystem service clusters into the space of the planning area to obtain the spatial distributions of the ecosystem service clusters.

6. A green space network planning device based on ecosystem service clusters, characterized in that, The device includes: An acquisition module, configured to acquire relevant basic data for calculating ecosystem services within a planning area; the planning area includes N planning units, and N is equal to or greater than a predefined minimum sample size for clustering analysis; An evaluation module, configured to evaluate the ecosystem services of the planning area based on the relevant basic data to obtain the evaluation results of each of the planning units; A clustering analysis module, configured to perform clustering analysis on the evaluation results of the N planning units within the planning area to obtain the types and spatial distributions of ecosystem service clusters; the ecosystem service clusters are obtained by clustering the ecosystem service combinations provided by the planning units, and the types of the ecosystem service clusters are determined by the characteristics of the ecosystem service combinations and are used to characterize the dominant service functions of the space; the types and spatial distributions of the ecosystem service clusters include: the types and spatial distributions of the ecosystem service clusters in at least two time periods, and there is no overlap between the respective time periods in the at least two time periods; A determination module, comprising a first determination unit, a second determination unit, a third determination unit and a fourth determination unit; the first determination unit is configured to perform an overlay analysis on the spatial distribution of the ecosystem service clusters and the green spaces within the planning area to determine the types of the ecosystem service clusters corresponding to each of the green spaces; and the second determination unit is configured to determine the types of the ecosystem service clusters of each of the planning units at each time period based on the spatial distribution of the ecosystem service clusters at each time period; determine the planning units whose types of the ecosystem service clusters have not changed during the at least two time periods as stable planning units; determine the overlapping spaces of the stable planning units and the green spaces as ecological source areas; the third determination unit is configured to determine the types of the ecosystem service clusters corresponding to the green spaces where the ecological source areas are located as the types of the ecological source areas; the fourth determination unit is configured to determine the planning units whose types of the ecosystem service clusters change along a predetermined trajectory during the at least two time periods as unstable planning units; and determine ecological nodes based on the unstable planning units. A construction module, comprising a grouping unit and a construction unit; the grouping unit is configured to group the ecological source areas of the same type into the same group based on the types of the ecological source areas to obtain at least one group; the construction unit is configured to use the ecological nodes as connection points between the ecological source areas to construct corridors between the ecological source areas of the same type within each group to form a green space network.

7. An electronic device, comprising: A processor, a memory, a communication interface and a communication bus, where the processor, the memory and the communication interface complete communication with each other through the communication bus; The memory is used to store at least one executable instruction, and the executable instruction causes the processor to perform operations corresponding to the method for planning a green space network based on ecosystem service clusters according to any one of claims 1-5.

8. A computer storage medium, on which a computer program is stored, and when the program is executed by a processor, it implements the method for planning a green space network based on ecosystem service clusters according to any one of claims 1-5.

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