Ecological Asset Evaluation Method, Evaluation Equipment and Computer Readable Storage Medium

Abstract

The present invention provides an ecological asset evaluation method, which includes the steps of: Step S1, constructing ecological asset quality evaluation indicators; Step S2, performing ecological suitability evaluation on the ecological asset quality evaluation indicators and generating ecosystem service parameters, calculating an ecological asset quality index according to the ecosystem service parameters, and satisfying the following formula: AEI = sum(a i , ES i ); Step S3, determining an ecological asset quality benchmark according to the ecological asset quality index and a preset ecological asset quality improvement direction. The present invention also provides an evaluation device and a computer-readable storage medium applying the ecological asset evaluation method. Compared with the related technologies, the technical solution of the present invention can obtain the quality benchmark of ecological assets, can realize the dynamic evaluation of ecological assets, and has high reference value for ecological asset management.

Description

Technical Field

[0001] The present invention relates to the technical field of ecosystems, and in particular, to an ecological asset evaluation method, an evaluation device, and a computer-readable storage medium.

Background Art

[0002] As environmental protection becomes increasingly important, the state attaches more and more importance to the management of ecosystems. Among them, ecological assets are important evaluation objects for the management of ecosystems.

[0003] Currently, ecological assets are treated as static assets. Generally, asset classification is carried out using forest and grassland types, and then evaluation is carried out based on the area of assets such as forest and grassland types as a benchmark.

[0004] However, the ecological asset evaluation of related technologies ignores the differences in assets at different growth stages of ecosystems and fails to consider the dynamic changes of assets. The asset index evaluation results given are average values; key ecosystem service indicators such as carbon fixation, water conservation, and soil conservation at different succession stages are not evaluated, resulting in low reference value for ecological asset evaluation and inability to achieve refined management in the management of ecosystems.

[0005] Therefore, it is necessary to provide a new method and device to solve the above technical problems.

Summary of the Invention

[0006] The object of the present invention is to overcome the above technical problems and provide an ecological asset evaluation method, an evaluation device, and a computer-readable storage medium that can obtain the quality benchmark of ecological assets, can realize the dynamic evaluation of ecological assets, and have high reference value for ecological asset management.

[0007] To achieve the above object, in a first aspect, an embodiment of the present invention provides an ecological asset evaluation method, which includes the following steps:

[0008] Step S1: Construct an ecological asset quality evaluation index; including:

[0009] Step S11: Evaluate the growth process of the ecosystem using the life cycle and construct a growth model in combination with the evaluation results;

[0010] Step S12: Construct an ecosystem succession model for analyzing the species composition of the ecosystem according to the growth model;

[0011] Step S13: Obtain multiple parameter indicators through the ecosystem succession model, identify key indicators among the multiple parameter indicators, and then calculate the structural and functional indicator values corresponding to each life stage of the key indicators in the life cycle according to a preset formula. The structural and functional indicator values are used for the dynamic evaluation of the key indicators.

[0012] Step S14: Classify the parameter indicators according to the structural and service natures of the parameter indicators to obtain structural indicators and service indicators, and then classify the structural indicators and the service indicators and construct an ecological asset quality evaluation index.

[0013] Step S2: Conduct an ecological suitability evaluation on the ecological asset quality evaluation index and generate ecosystem service parameters, calculate an ecological asset quality index according to the ecosystem service parameters, and satisfy the following formula:

[0014] AEI = sum(a i , ES i ) (1);

[0015] where sum is a summation function, AEI is the ecological asset quality index, a i is a quality coefficient, i is a positive integer, and ES i is the i-th ecosystem service parameter;

[0016] Step S3: Determine an ecological asset quality benchmark according to the ecological asset quality index and a preset ecological asset quality improvement direction.

[0017] More preferably, the ecosystem is a forest ecosystem, the parameter indicators include vegetation coverage rate, soil porosity, soil organic content, leaf area index, water yield, and soil retention; the key indicators are water yield and soil retention.

[0018] More preferably, the steps for constructing the growth model include: obtaining biomass by using a tree diameter at breast height growth model, then selecting forest age, stand conditions, site conditions, and competition factors as independent variables, and finally forming the growth model by using the stepwise regression method with the biomass and the independent variables, and satisfying the following formula:

[0019] Y = K / (1 + exp(θ - rt)) (2);

[0020] where Y is the annual growth of trees, K is the first regression coefficient, θ is the second regression coefficient, r is the third regression coefficient, and t is the forest age.

[0021] More preferably, the water yield is the amount of water obtained by subtracting the actual evaporation from the rainfall in each grid cell within the area of the ecosystem, and satisfies the following formula:

[0022]

[0023] where Y xj is the annual water yield, x is the serial number of the grid cell, j is the land use type, P xis the average annual rainfall of grid cell x; AET xj is the actual annual average evapotranspiration of grid cell x within land use type j.

[0024] Preferably, the soil conservation amount is Ac, which satisfies the following formula:

[0025] Ac = Ap – Ar (4);

[0026] wherein, the unit of the soil conservation amount Ac is t / (hm 2 ·a); Ap is the potential soil erosion amount, with the unit of t / (hm 2 ·a); Ar is the actual soil erosion amount, with the unit of t / (hm 2 ·a); t is ton, hm 2 is hectare, and a is year.

[0027] Preferably, in the step S14, the ecological asset quality evaluation index includes a primary index, a secondary index, and a tertiary index. The primary index is the service index, the secondary index is at least one of the structural indexes associated with the service index, and the tertiary index is at least one of the other structural indexes associated with the secondary index.

[0028] Preferably, the ecological asset quality evaluation index is constructed in the form of a classification table by the primary index, the secondary index, and the tertiary index.

[0029] Preferably, in the step S2, the ecological suitability evaluation includes: drawing a dynamic curve of the service index, statistically analyzing the distribution of the service index according to the dynamic curve, performing an operation to eliminate the climate impact on the service index according to the obtained climate index, and analyzing the relationship between multiple service indexes.

[0030] In a second aspect, an evaluation device provided by an embodiment of the present invention further includes a processor and a memory. The processor is configured to read a program in the memory and execute the steps in the above ecological asset evaluation method provided by the embodiment of the present invention.

[0031] In a third aspect, an embodiment of the present invention further provides a computer-readable storage medium. The computer-readable storage medium stores a computer program, and the computer program includes program instructions. When the program instructions are executed by a processor, the steps in the above ecological asset evaluation method provided by the embodiment of the present invention are implemented.

[0032] Compared with the prior art, the ecological asset evaluation method of the present invention includes the following steps: Step S1, constructing an ecological asset quality evaluation index. Among them, the step S1 includes: Step S11, evaluating the growth process of the ecosystem by using the life cycle and constructing a growth model in combination with the evaluation results. Step S12, constructing an ecosystem succession model for analyzing the species composition of the ecosystem according to the growth model. Step S13, obtaining a plurality of parameter indexes through the ecosystem succession model, identifying key indexes among the plurality of parameter indexes, and then calculating the structural and functional index values corresponding to each life stage of the key indexes in the life cycle according to a preset formula, and the structural and functional index values are used for the dynamic evaluation of the key indexes. Step S14, dividing the parameter indexes according to the structural nature and service nature of the parameter indexes to obtain structural indexes and service indexes, and then grading the structural indexes and service indexes and constructing an ecological asset quality evaluation index. The ecological asset evaluation method of the present invention evaluates the structure and function of the ecosystem at different succession stages through step S1, and incorporates the differences in assets of the ecosystem at different growth stages into the evaluation scope; and analyzes the succession process of the ecosystem through the growth model and the ecosystem succession model, evaluates the key indexes at different succession stages, and realizes the dynamic evaluation of assets. Step S2, performing an ecological suitability evaluation on the ecological asset quality evaluation index to generate ecosystem service parameters, calculating an ecological asset quality index according to the ecosystem service parameters, and satisfying the following formula: AEI = sum(a i , ES i ). Step S3, determining an ecological asset quality benchmark according to the ecological asset quality index and a preset ecological asset quality improvement direction. Through the above steps, the ecological asset evaluation method of the present invention studies the life cycles of different types of ecological assets based on the ecosystem succession process, constructs an ecological asset quality evaluation index, and studies the changes in the quality of ecological assets in different full life cycle processes; comprehensively conducts an ecological suitability evaluation on a plurality of the parameter indexes such as climate, terrain, soil and other elements, and determines the ecological asset quality benchmark and grade in combination with the ecological asset quality distribution under different suitability degrees. Thereby providing a reference value for ecological asset evaluation and achieving refined management in the management of the ecosystem. In summary, by using the ecological asset evaluation method, evaluation equipment and computer-readable storage medium of the present invention, the quality benchmark of ecological assets can be obtained, the dynamic evaluation of ecological assets can be realized, and the reference for ecological asset management is high.

Description of the Drawings

[0033] To more clearly illustrate the technical solutions in the embodiments of the present invention, the following will briefly introduce the accompanying drawings required for the description of the embodiments. Obviously, the accompanying drawings in the following description are only some embodiments of the present invention. For those of ordinary skill in the art, without creative efforts, other accompanying drawings can be obtained based on these drawings, where:

[0034] Figure 1 It is a flowchart of the ecological asset evaluation method of the present invention;

[0035] Figure 2 It is a flowchart of step S11 of the ecological asset evaluation method of the present invention;

[0036] Figure 3 It is a flowchart of step S2 of the ecological asset evaluation method of the present invention;

[0037] Figure 4 It is a structural block diagram of an evaluation device of the present invention.

Specific Embodiments

[0038] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some embodiments of the present invention, rather than all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts belong to the scope of protection of the present invention.

[0039] Please refer to Figure 1 As shown, the present invention provides an ecological asset evaluation method.

[0040] The ecological asset evaluation method includes the following steps:

[0041] Step S1: Construct an ecological asset quality evaluation index.

[0042] In this embodiment, the ecological system is a forest ecological system, and the parameter indexes include vegetation coverage rate, soil porosity, soil organic content, leaf area index, water production volume, and soil retention amount. Among them, the forest growth model is a function describing the growth and state of forest trees and the site conditions.

[0043] Specifically, please refer to Figure 2 As shown, Figure 2 It is a flowchart of step S11 of the ecological asset evaluation method of the present invention. Step S1 includes:

[0044] Step S11: Evaluate the growth process of the ecological system using the life cycle and construct a growth model in combination with the evaluation results.

[0045] In this embodiment, the step of constructing the growth model includes:

[0046] Step S111, obtaining biomass by adopting a tree diameter-at-breast-height growth model.

[0047] Step S112: select forest age, forest stand conditions, site conditions and competition factors as independent variables.

[0048] Step S113, the biomass and the independent variable are used to form the growth model through stepwise regression method and satisfy the following formula:

[0049] Y = K / (1 + exp (θ - rt)) (2).

[0050] Among them, Y is the annual growth of trees, K is the first regression coefficient, θ is the second regression coefficient, r is the third regression coefficient, and t is the forest age.

[0051] Step S12: constructing an ecosystem succession model for analyzing the species composition of an ecosystem based on the growth model.

[0052] In this implementation manner, step S12 is to construct a forest ecosystem succession model based on the growth model to estimate the species composition of the forest ecosystem.

[0053] It should be pointed out that the growth model and the ecosystem succession model are both commonly used models in the art. The type and setting of the specific model need to be selected according to the actual design needs of the ecosystem, and are not described in detail here.

[0054] Step S13, obtaining multiple parameter indicators through the ecosystem succession model, and identifying key indicators among the multiple parameter indicators, and then calculating the structural and functional indicator values ​​corresponding to the key indicators at each life stage in the life cycle according to a preset formula, and the structural and functional indicator values ​​are used for dynamic evaluation of the key indicators.

[0055] In this embodiment, by combining the field survey results of forests of different ages, the changes in soil indicators are analyzed, and the structural and functional indicator values ​​of various indicators of the ecosystem at different life stages are estimated. The key indicators are water production and soil retention. The key indicators can be used for dynamic evaluation and refined management of the asset management of the ecosystem, and provide sufficient and efficient data for management departments to make decisions. By evaluating the structure and function of the ecosystem at different succession stages, the differences in the assets of the ecosystem at different growth stages are included in the evaluation scope; and the succession process of the ecosystem is analyzed through the growth model and the ecosystem succession model, the key indicators of different succession stages are evaluated, and the dynamic evaluation of assets is realized.

[0056] The water production is the amount of rainfall in each grid cell within the regional scope of the ecosystem minus the actual evaporation, and satisfies the following formula:

[0057]

[0058] Where Y xj is the annual water production, x is the serial number of the grid cell, j is the land use type, and P x is the average annual rainfall of grid cell x; AET xj is the actual annual average evapotranspiration of grid cell x within the land use type j. Formula (3) uses the commonly used InVEST water production module in the field to calculate the water production of the ecosystem. The model calculates the runoff of each grid in the basin based on the water balance principle, climate, terrain, and land use and cover.

[0059] Formula (3) further satisfies:

[0060]

[0061] In formula (5), the ratio of evapotranspiration to rainfall is an approximate algorithm proposed by Zhang et al. based on the Budyko curve, that is, the Zhang coefficient.

[0062] In formula (5), R xj satisfies:

[0063]

[0064] Where ET 0 = 0.013 × 0.408 × RA × (T av + 17) × (TD - 0.0123 × P) 0.76 (7);

[0065] In the formula, R xj is the Budyko dryness index of grid cell x on land use type j, dimensionless. It is defined as the ratio of potential evaporation to rainfall. k is the crop coefficient, which is the ratio of crop evapotranspiration ET to potential evapotranspiration ET 0 during different growth periods. RA is the solar radiation at the top of the atmosphere, (MJ·m -2 ·d -1 ). Tav is the average of the daily maximum temperature mean and the daily minimum temperature mean. TD is the difference between the daily maximum temperature mean and the daily minimum temperature mean.

[0066] In formula (5), ω x satisfies:

[0067]

[0068] Among them, PAWC = 54.509 - 0.132×SAN% - 0.003×(SAN%) 2 - 0.055×SIL% - 0.006×(SIL%) 2 - 0.738×CLA% + 0.007×(CLA%) 2 - 2.688×C% + 0.501×(C%) 2 (9);

[0069] In the formula, ω x is the ratio of the corrected annual available water volume of vegetation to the expected precipitation, dimensionless. Z is the zhang coefficient, a non - physical parameter characterizing natural climate - soil properties.

[0070] MaxSoilDepth is the maximum soil depth. RootDepth is the root depth. PAWC x is the available water content of vegetation. SAN is the soil sand content, unit: %. SIL is the soil silt content, unit: %. CLA is the soil clay content, unit: %. C is the soil organic matter content, unit: %.

[0071] Another said key indicator: the soil retention amount is Ac, which satisfies the following formula:

[0072] Ac = Ap – Ar (4).

[0073] Among them, the unit of the soil retention amount Ac is t / (hm 2 ·a); Ap is the potential soil erosion amount, unit: t / (hm 2 ·a); Ar is the actual soil erosion amount, unit: t / (hm 2 ·a). t is ton, hm 2 is hectare, a is year.

[0074] Specifically, the potential soil erosion amount Ap and the actual soil erosion amount Ar are calculated using the Universal Soil Loss Equation USLE model in the United States, and the formula is as follows:

[0075] A = R·K·LS·C·P (11).

[0076] In the formula: A is the soil loss amount per unit area. R is the rainfall erosivity factor. K is the soil erodibility factor. L is the slope length factor. S is the slope gradient factor. C is the vegetation cover and management factor. P is the soil and water conservation measure factor.

[0077] According to meteorological data and model applicability, a simple calculation method proposed by Arnoldus in 1977 is adopted in this study. This method takes into account both annual precipitation and precipitation distribution, and the data is relatively easy to obtain with a wide application range. In formula (11), the calculation formula for the rainfall erosivity factor R is as follows:

[0078]

[0079] In formula (11), the calculation formula for the soil erodibility factor K is as follows:

[0080]

[0081] Among them, formula (13) satisfies:

[0082]

[0083] In formula (14): R is the annual rainfall erosivity, with the unit of [(MJ·mm) / (hm 2 ·h·a)]; P j is the precipitation in the j-th month, with the unit of mm; P is the annual average precipitation, with the unit of mm. The annual rainfall erosivity of each meteorological station in the Lhasa River Basin is calculated according to the above formula.

[0084] Step S14: Classify the parameter indicators according to their structural properties and service properties to obtain structural indicators and service indicators, and then classify the structural indicators and the service indicators and construct an ecological asset quality evaluation index.

[0085] In this embodiment, the ecological asset essentially refers to the ecosystem itself, but its quality is related to its functions and services. The formation of ecosystem services requires specific environmental conditions such as climate and terrain. In step S14, the ecological asset quality evaluation index includes primary indicators, secondary indicators, and tertiary indicators. The primary indicator is the service indicator. The secondary indicator is at least one of the structural indicators associated with the service indicator. The tertiary indicator is at least one other structural indicator associated with the secondary indicator.

[0086] In this embodiment, the ecological asset quality evaluation index is constructed in the form of a classification table by the primary indicator, the secondary indicator, and the tertiary indicator. That is, the ecological asset quality evaluation index is realized in a hierarchical form. The construction of the ecological asset quality evaluation index in the form of a classification table is conducive to intuitive classification, enabling users to manage and trace problems in a refined manner. Of course, this is not limited, and the ecological asset quality evaluation index can also be realized in the form of a specific function formula.

[0087] Taking the above-mentioned forest ecosystem as an example, an ecological asset quality evaluation index table is constructed as shown in Table 1 below for reference.

[0088]

[0089] Table 1 Ecological Asset Quality Evaluation Index Table

[0090] Step S2: Conduct an ecological suitability evaluation on the ecological asset quality evaluation index and generate ecosystem service parameters. Calculate the ecological asset quality index based on the ecosystem service parameters, and it satisfies the following formula:

[0091] AEI = sum(a i , ES i ) (1).

[0092] Among them, sum is the summation function, AEI is the ecological asset quality index, a i is the quality coefficient, i is a positive integer, and ES i is the i-th ecosystem service parameter.

[0093] In the said step S2, the ecological suitability evaluation includes: plotting the dynamic curve of the service index, statistically analyzing the distribution of the service index according to the dynamic curve, performing an operation to eliminate the climate impact on the service index based on the obtained climate index, and analyzing the relationship between multiple service indexes. Please refer to Figure 3 as shown in Figure 3 which is the flow chart of step S2 of the ecological asset evaluation method of the present invention. That is, in the said step S2, the ecological suitability evaluation is achieved through the following steps:

[0094] Step S21: Plot the dynamic curve of the service index.

[0095] Step S22: Statistically analyze the distribution of the service index according to the dynamic curve.

[0096] Step S23: Perform an operation to eliminate the climate impact on the service index based on the obtained climate index.

[0097] Step S24: Analyze the relationship between multiple service indexes.

[0098] Among them, plotting the dynamic curve of the service index can generate the ecosystem service parameter described in item 1; statistically analyzing the distribution of the service index based on the dynamic curve can generate the ecosystem service parameter described in item 2; performing an operation to eliminate the climate impact on the service index according to the obtained climate index can generate the ecosystem service parameter described in item 3; analyzing the relationship between multiple service indexes can generate the ecosystem service parameter described in item 4. The ecological asset quality index AEI is obtained by summing the above four ecosystem service parameters after superimposing different quality coefficients. Therefore, the ecological asset quality index has a relatively high reference value.

[0099] Step S3: Determine the ecological asset quality benchmark according to the ecological asset quality index and the preset ecological asset quality improvement direction. Specifically, the ecological asset quality benchmark is the maximum value obtained by superimposing the bonus items of the ecological asset quality improvement direction on the basis of the value of the ecological asset quality index.

[0100] Among them, the ecological asset quality benchmark is the maximum ecosystem service that the ecosystem can provide under the optimal life stage and the best environmental conditions. The ecological asset quality benchmark actually takes the best quality as the benchmark, representing the goal and direction of ecological asset improvement. Since the asset quality is not only related to the asset itself but also to its environmental conditions, when giving the quality benchmark, the corresponding climate and terrain conditions should also be given. Therefore, the ecological asset quality benchmark determined in step S3 provides a reference value for ecological asset management and enables refined management in the management of the ecosystem.

[0101] The implementation of the above steps enables the ecological asset evaluation method of the present invention to be based on the ecosystem succession process, study the life cycles of different types of ecological assets, construct ecological asset quality evaluation indicators, and study the changes in the quality of ecological assets during different full life cycle processes; comprehensively carry out ecological suitability evaluation with multiple parameter indicators such as climate, terrain, soil and other elements, and determine the ecological asset quality benchmark and grade in combination with the ecological asset quality distribution under different suitability degrees. Thus, a reference value is provided for ecological asset evaluation, and refined management is achieved in the management of the ecosystem.

[0102] The present invention also provides an evaluation device 1000. Please refer to Figure 4 as shown in Figure 4 which is a structural block diagram of an evaluation device 1000 of the present invention.

[0103] The evaluation device 1000 includes a processor 1001, a memory 1002, a network interface 1003, and a computer program stored on the memory 1002 and executable on the processor 1001. The processor 1001 is configured to read the program in the memory 1002. When the processor 1001 executes the computer program, it implements the steps in the ecological asset evaluation method provided in the embodiment. That is, the processor 1001 executes the steps in the ecological asset evaluation method.

[0104] Specifically, the processor 1001 is configured to execute the following steps:

[0105] Step S1: Construct an ecological asset quality evaluation index;

[0106] The step S1 includes:

[0107] Step S11: Evaluate the growth process of the ecosystem using the life cycle and construct a growth model in combination with the evaluation results.

[0108] Step S12: Construct an ecosystem succession model for analyzing the species composition of the ecosystem based on the growth model.

[0109] Step S13: Obtain a plurality of parameter indicators through the ecosystem succession model, identify key indicators among the plurality of parameter indicators, and then calculate the structural and functional indicator values corresponding to each life stage of the key indicator in the life cycle according to a preset formula. The structural and functional indicator values are used for the dynamic evaluation of the key indicator.

[0110] Step S14: Divide the parameter indicators according to the structural nature and service nature of the parameter indicators to obtain structural indicators and service indicators, and then classify the structural indicators and service indicators and construct an ecological asset quality evaluation index.

[0111] Step S2: Conduct an ecological suitability evaluation on the ecological asset quality evaluation index to generate ecosystem service parameters, calculate an ecological asset quality index according to the ecosystem service parameters, and satisfy the following formula:

[0112] AEI = sum(a i , ES i ) (1);

[0113] Where sum is a summation function, AEI is the ecological asset quality index, a i is a quality coefficient, i is a positive integer, and ES i is the i-th ecosystem service parameter.

[0114] Step S3: Determine the ecological asset quality benchmark according to the ecological asset quality index and the preset ecological asset quality improvement direction.

[0115] The evaluation device 1000 provided by the embodiments of the present invention can implement various embodiments and corresponding beneficial effects in the embodiments of the ecological asset evaluation method. To avoid repetition, they will not be elaborated here.

[0116] It should be noted that only components 1001 - 1003 are shown in the figure. However, it should be understood that it is not required to implement all the shown components, and more or fewer components can be implemented alternatively. Among them, those skilled in the art of the present technology can understand that the evaluation device 1000 here is a device that can automatically perform numerical calculations and / or information processing according to pre-set or stored instructions, and its hardware is an embedded device.

[0117] The memory 1002 can be an internal storage unit of the evaluation device 1000, such as the hard disk or memory of the evaluation device 1000. In some other embodiments, the memory 1002 can also be an external storage device of the evaluation device 1000. Of course, the memory 1002 can also include both the internal storage unit and the external storage device of the evaluation device 1000. In this embodiment, the memory 1002 is generally used to store the operating system and various application software installed in the evaluation device 1000, such as the program code of the ecological asset evaluation method of the evaluation device 1000. In addition, the memory 1002 can also be used to temporarily store various types of data that have been output or will be output.

[0118] The processor 1001 can be a central processing unit (CPU), a controller, a microcontroller, a microprocessor, or other data processing chips in some embodiments. The processor 1001 is generally used to control the overall operation of the evaluation device 1000. In this embodiment, the processor 1001 is used to run the program code stored in the memory 1002 or process data, such as running the program code of the ecological asset evaluation method of the evaluation device 1000.

[0119] The network interface 1003 can include a wireless network interface or a wired network interface, and this network interface 1003 is generally used to establish a communication connection between the evaluation device 1000 and other electronic devices.

[0120] The present invention also provides a computer-readable storage medium storing a computer program, the computer program including program instructions which, when executed by a processor 1001, implement the steps in the ecological asset evaluation method described above and can achieve the same technical effects. To avoid repetition, details are not described herein again.

[0121] Those of ordinary skill in the art can understand all or part of the process of the ecological asset evaluation method implemented in the evaluation device 1000 of the embodiment. Specifically, during operation, an operator operates through a remote cloud platform and performs an upgrade operation in the upgrade interface of the cloud platform. When this program is executed, it may include the processes of the embodiments of the respective methods.

[0122] In the embodiments of the present invention, the present embodiment is for ease of description. The above disclosure is only for the preferred embodiments of the present invention, and of course it cannot be used to limit the scope of the rights of the present invention. Therefore, equivalent changes made according to the claims of the present invention still fall within the scope covered by the present invention.

[0123] Compared with the prior art, the ecological asset evaluation method of the present invention includes the following steps: Step S1, constructing an ecological asset quality evaluation index. Among them, Step S1 includes: Step S11, evaluating the growth process of an ecosystem using the life cycle and constructing a growth model in combination with the evaluation results. Step S12, constructing an ecosystem succession model for analyzing the species composition of the ecosystem according to the growth model. Step S13, obtaining a plurality of parameter indicators through the ecosystem succession model, identifying key indicators among the plurality of parameter indicators, and then calculating the structural and functional indicator values corresponding to each life stage of the key indicator in the life cycle according to a preset formula, where the structural and functional indicator values are used for the dynamic evaluation of the key indicator. Step S14, classifying the parameter indicators according to the structural nature and service nature of the parameter indicators to obtain structural indicators and service indicators, and then grading the structural indicators and service indicators and constructing an ecological asset quality evaluation index. The ecological asset evaluation method of the present invention evaluates the structure and function of the ecosystem at different succession stages through Step S1, incorporates the differences in assets of the ecosystem at different growth stages into the evaluation scope; and analyzes the succession process of the ecosystem through the growth model and the ecosystem succession model, evaluates the key indicators at different succession stages, and realizes the dynamic evaluation of assets. Step S2, performing an ecological suitability evaluation on the ecological asset quality evaluation index to generate ecosystem service parameters, calculating an ecological asset quality index according to the ecosystem service parameters, and satisfying the following formula: AEI = sum(a i , ES i) Step S3: Determine the ecological asset quality benchmark according to the ecological asset quality index and the preset ecological asset quality improvement direction. Through the above steps, the ecological asset evaluation method of the present invention studies the life cycles of different types of ecological assets based on the ecological system succession process, constructs ecological asset quality evaluation indicators, and studies the ecological asset quality changes in different full life cycle processes; conducts ecological suitability evaluation by integrating multiple parameter indicators such as climate, terrain, soil and other elements, and determines the ecological asset quality benchmark and grade in combination with the ecological asset quality distribution under different suitability degrees. Thus, a reference value is provided for ecological asset evaluation, and refined management can be achieved in the management of the ecological system. In summary, by using the ecological asset evaluation method, evaluation equipment and computer-readable storage medium of the present invention, the quality benchmark of ecological assets can be obtained, dynamic evaluation of ecological assets can be realized, and the reference for ecological asset management is high.

[0124] The above are only the embodiments of the present invention. It should be noted here that for those of ordinary skill in the art, improvements can be made without departing from the inventive concept of the present invention, but these all belong to the protection scope of the present invention.

Claims

1. An ecological asset evaluation method, characterized in that, the method comprises the following steps: Step S1, construct an ecological asset quality evaluation index; including: Step S11, evaluate the growth process of the ecosystem by using the life cycle and construct a growth model in combination with the evaluation results; Step S12, construct an ecosystem succession model for analyzing the species composition of the ecosystem according to the growth model; Step S13, obtain a plurality of parameter indexes through the ecosystem succession model, identify key indexes among the plurality of parameter indexes, and then calculate the structural and functional index values corresponding to each life stage of the key indexes in the life cycle according to a preset formula, and the structural and functional index values are used for the dynamic evaluation of the key indexes; Step S14, divide the parameter indexes according to the structural nature and service nature of the parameter indexes to obtain structural indexes and service indexes, and then classify the structural indexes and service indexes and construct an ecological asset quality evaluation index; Step S2, conduct an ecological suitability evaluation on the ecological asset quality evaluation index to generate ecosystem service parameters, calculate an ecological asset quality index according to the ecosystem service parameters, and satisfy the following formula: AEI = sum(a i , ES i ) (1); Among them, sum is the summation function, AEI is the ecological asset quality index, a i is the quality coefficient, i is a positive integer, and ES i is the i-th ecological system service parameter; Step S3, determine an ecological asset quality benchmark according to the ecological asset quality index and a preset ecological asset quality improvement direction, and the ecological asset quality benchmark is the highest value after adding the bonus items of the ecological asset quality improvement direction to the value of the ecological asset quality index; the ecosystem is a forest ecosystem, and the parameter indexes include vegetation coverage rate, soil porosity, soil organic content, leaf area index, water yield, and soil retention; the key indexes are water yield and soil retention; the construction steps of the growth model include: obtaining biomass by using a tree diameter at breast height growth model, then selecting stand age, stand conditions, site conditions, and competition factors as independent variables, and finally forming the growth model by using the biomass and the independent variables through stepwise regression method, and satisfying the following formula: Y = K / (1 + exp(θ - rt)) (2); wherein, Y is the annual growth of trees, K is the first regression coefficient, θ is the second regression coefficient, r is the third regression coefficient, and t is the stand age; the water yield is the amount of rainfall minus the actual evaporation in each grid unit within the area of the ecosystem, and satisfies the following formula: Among them, Y xj is the annual water yield, x is the serial number of the grid cell, j is the land use type, and P x is the average annual rainfall of the grid cell x; AET xj is the actual annual average evapotranspiration of the grid cell x within the land use type j; the soil retention is Ac, and satisfies the following formula: Ac = Ap - Ar (4); Among them, the unit of the soil retention amount Ac is t / (hm 2 ·a); Ap is the potential soil erosion amount, and the unit is t / (hm 2 ·a); Ar is the actual soil erosion amount, and the unit is t / (hm 2 ·a); t is ton, hm 2 is hectare, and a is year.

2. The ecological asset evaluation method according to claim 1, characterized in that, in step S14, the ecological asset quality evaluation index includes a first-level index, a second-level index, and a third-level index. The first-level index is the service index, the second-level index is at least one of the structural indexes associated with the service index, and the third-level index is at least one other structural index associated with the second-level index.

3. The ecological asset evaluation method according to claim 2, characterized in that, The ecological asset quality evaluation index is constructed in the form of a classification table by combining the first-level index, the second-level index, and the third-level index.

4. The ecological asset evaluation method according to claim 1, wherein, in the step S2, the ecological suitability evaluation includes: drawing a dynamic curve of the service index, statistically analyzing the distribution of the service index according to the dynamic curve, performing an operation to eliminate the climate impact on the service index according to the obtained climate index, and analyzing the relationship between multiple service indexes.

5. An evaluation device, wherein, it includes a processor and a memory, and the processor is configured to read a program in the memory and execute the steps in the ecological asset evaluation method according to any one of claims 1 to 4.

6. A computer-readable storage medium, wherein, the computer-readable storage medium stores a computer program, the computer program includes program instructions, and when the program instructions are executed by a processor, the steps in the ecological asset evaluation method according to any one of claims 1-4 are implemented.

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