Island vegetation evaluation method and system

Abstract

The application relates to a kind of island vegetation evaluation method and system, the method comprises: obtaining the original data set of island vegetation to be evaluated, and according to the pre-constructed island vegetation evaluation index system, the basic data corresponding to each index is extracted from the original data set;Calculate the initial evaluation value of each index and standardize, to obtain the standardized score;Based on the standardized score, the structure morphology, sustainability and interference index are calculated after matching weight, and the comprehensive evaluation score is generated by fusion;The comprehensive evaluation score is processed by range standardization, and compared with the grade threshold value, to obtain the vegetation status grade. Using the method can realize the scientific evaluation and efficient management and protection of island vegetation resources.

Description

Technical Field

[0001] This invention belongs to the field of island ecosystem management and evaluation technology, and specifically relates to a method and system for evaluating island vegetation. Background Technology

[0002] With the development of technologies in the field of island ecosystem protection and management, vegetation evaluation methods based on multi-indicator comprehensive assessment have emerged. These methods can comprehensively reflect the structural and functional characteristics of vegetation, thereby promoting the systematic diagnosis of island ecological conditions. Island vegetation evaluation often follows the research approach of continental vegetation, focusing on the investigation and analysis of single factors or local characteristics. For example, it uses methods such as vegetation type classification, dominant species identification, and pollutant content measurement to provide qualitative and semi-quantitative descriptions of island vegetation. While some studies have attempted to construct indicator systems that include ecological and landscape dimensions, they often fail to fully incorporate the unique characteristics of island vegetation, such as its vulnerability, independence, and the interwoven zonal and azonal distribution.

[0003] However, current evaluation methods or traditional approaches have the following shortcomings: First, existing evaluation systems are mostly designed for mainland and coastal areas, failing to fully reflect the unique characteristics of island vegetation, such as seawater obstruction, soil infertility, unique species composition, and susceptibility to disasters; second, evaluation indicators are mostly limited to single vegetation characteristics, lacking a systematic multi-factor comprehensive evaluation that integrates vegetation-soil-environment processes, making it difficult to fully reflect the degradation status and ecological functions of island vegetation; third, the selection of indicators and the setting of weights often lack targeted investigation of the regional differentiation patterns of islands, resulting in limited decision-making support for island ecosystem management based on the evaluation results. Summary of the Invention

[0004] Therefore, it is necessary to provide a method and system for evaluating island vegetation to address the aforementioned technical problems.

[0005] Firstly, this application provides a method for evaluating island vegetation, including:

[0006] S101. Obtain the original dataset of the island vegetation to be evaluated, and extract the basic data corresponding to each indicator from the original dataset according to the definition of each indicator in the pre-constructed island vegetation evaluation index system to generate the basic index dataset of the island vegetation to be evaluated; wherein, the island vegetation evaluation index system is used to provide a standardized evaluation framework; the basic data is used to characterize the ecological state or parameters of the island vegetation to be evaluated corresponding to each indicator; the indicators include qualitative indicators and quantitative indicators.

[0007] S102. Perform initial evaluation on the basic dataset of indicators according to the preset evaluation rules to obtain the initial evaluation value of each indicator, and use the membership function method to standardize the initial evaluation value to obtain the standardized score of each indicator.

[0008] S103. Call the preset weight system, match each indicator with the weight entries stored in the weight system, and generate the weight value corresponding to each indicator.

[0009] S104. Based on standardized scores and corresponding weights for each indicator, the structural morphology index, sustainability index, and disturbance index of the island vegetation to be evaluated are calculated sequentially through weighted summation. These indices are then integrated to generate a comprehensive evaluation score for the island vegetation. The comprehensive evaluation score characterizes the ecological state of the island vegetation; the structural morphology index quantifies the status of the island vegetation in terms of species composition, community structure, and biodiversity; the sustainability index quantifies the natural regeneration capacity, survival adaptability, and resource maintenance potential of the island vegetation under the special environment of the island; and the disturbance index quantifies the degree of negative impact caused by external biotic and abiotic stresses on the island vegetation.

[0010] S105. The range standardization method is used to convert the comprehensive evaluation score of island vegetation into a standardized score, and the standardized score is compared with the preset grade threshold range to obtain the current status grade of the island vegetation to be evaluated.

[0011] Secondly, this application also provides an island vegetation evaluation system, including:

[0012] The basic dataset generation module is used to obtain the original dataset of the island vegetation to be evaluated, and extract the basic data corresponding to each indicator from the original dataset according to the definition of each indicator in the pre-constructed island vegetation evaluation index system, to generate the basic index dataset of the island vegetation to be evaluated. The island vegetation evaluation index system is used to provide a standardized evaluation framework; the basic data is used to characterize the ecological state or parameters of the island vegetation to be evaluated corresponding to each indicator; the indicators include qualitative indicators and quantitative indicators.

[0013] The indicator standardization module is used to perform initial evaluation on the indicator basic dataset according to the preset evaluation rules, obtain the initial evaluation value of each indicator, and use the membership function method to standardize the initial evaluation value to obtain the standardized score of each indicator.

[0014] The weight matching module is used to call the preset weight system, match each indicator with the weight entries stored in the weight system, and generate the weight value corresponding to each indicator.

[0015] The index calculation module is used to calculate the structural morphology index, sustainability index, and disturbance index of the island vegetation to be evaluated through weighted summation based on standardized scores and corresponding weight values ​​for each indicator. It then integrates these indices to generate a comprehensive evaluation score for the island vegetation. The comprehensive evaluation score characterizes the ecological status of the island vegetation; the structural morphology index quantifies the status of the island vegetation in terms of species composition, community structure, and biodiversity; the sustainability index quantifies the natural regeneration capacity, survival adaptability, and resource maintenance potential of the island vegetation under the special environment of the island; and the disturbance index quantifies the degree of negative impact caused by external biotic and abiotic stresses on the island vegetation.

[0016] The rating module is used to convert the comprehensive evaluation score of island vegetation into a standardized score using the range standardization method, and compare the standardized score with the preset rating threshold range to obtain the current status rating of the island vegetation to be evaluated.

[0017] Thirdly, this application also provides a computer device, including a memory and a processor, wherein the memory stores a computer program, and the processor executes the computer program to implement the steps of any of the methods described above.

[0018] Fourthly, this application also provides a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the steps of any of the methods described above.

[0019] The aforementioned method and system for evaluating island vegetation overcomes the shortcomings of traditional methods, such as single indicators and limited perspectives, by employing a pre-constructed multi-level evaluation index system tailored to the characteristics of island vegetation. This system integrates 15 specific evaluation indicators across three dimensions: structural morphology, sustainability, and disturbance. It achieves a comprehensive, multi-factor, and multi-process systematic evaluation of the ecological status of island vegetation. Through pre-defined quantitative calculation formulas, qualitative grading standards, and membership function methods, complex ecological observation data is transformed into standardized scores with unified dimensions and comparable approximations. This effectively reduces the subjective arbitrariness of human experience-based judgments and ensures the consistency and repeatability of the evaluation process and results. By introducing a weighted fusion system based on expert knowledge and outputting a quantified comprehensive score and status level, complex ecological information is condensed into clear and easily understandable assessment conclusions. This provides direct and powerful scientific evidence for identifying priority areas for island ecological protection and restoration and formulating management measures. This method enables the scientific assessment and efficient management of island vegetation resources. Attached Figure Description

[0020] To more clearly illustrate the technical solutions in the embodiments or related technologies of this application, the accompanying drawings used in the description of the embodiments or related technologies will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of this application. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0021] Figure 1 A flowchart illustrating an island vegetation evaluation method provided as an exemplary embodiment of this application;

[0022] Figure 2 A schematic diagram illustrating the construction process of a preset weighting system provided in an exemplary embodiment of this application;

[0023] Figure 3 This is a schematic diagram of the structure of an island vegetation evaluation system provided as an exemplary embodiment of this application. Detailed Implementation

[0024] To make the objectives, technical solutions, and advantages of this application clearer, the following detailed description is provided in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative and not intended to limit the scope of this application.

[0025] In one embodiment, such as Figure 1 As shown, a method for evaluating island vegetation is provided. This embodiment illustrates the application of this method to an evaluation terminal. It is understood that this method can also be applied to an evaluation server, and furthermore, to a system including both an evaluation terminal and an evaluation server, and is implemented through the interaction between the evaluation terminal and the evaluation server. In this embodiment, the method includes the following steps:

[0026] S101. Obtain the original dataset of the island vegetation to be evaluated, and extract the basic data corresponding to each indicator from the original dataset according to the definition of each indicator in the pre-constructed island vegetation evaluation index system, and generate the basic index dataset of the island vegetation to be evaluated.

[0027] Optionally, the island vegetation evaluation index system is used to provide a standardized evaluation framework.

[0028] Optionally, the basic data is used to characterize the ecological state or parameters of the island vegetation to be evaluated corresponding to each indicator.

[0029] Optionally, the indicators may include qualitative and quantitative indicators.

[0030] For example, the evaluation terminal can obtain the original dataset of the island vegetation to be evaluated through multi-source data collection channels, verify the completeness and accuracy of the original dataset, and remove data entries that are abnormally missing or logically contradictory.

[0031] Optionally, the source of the original dataset of the island vegetation to be evaluated may include, but is not limited to, high-resolution remote sensing images, field ecological survey records, long-term monitoring data from meteorological observation stations, soil physicochemical property test reports, and species resource survey databases.

[0032] Furthermore, the evaluation terminal can filter and extract basic data associated with the indicators from the original dataset based on the definitions of each indicator in the pre-constructed island vegetation evaluation indicator system, and integrate them to generate the indicator basic dataset.

[0033] S102. Perform initial evaluation on the basic dataset of indicators according to the preset evaluation rules to obtain the initial evaluation value of each indicator, and use the membership function method to standardize the initial evaluation value to obtain the standardized score of each indicator.

[0034] Optionally, the preset evaluation rules may include, but are not limited to, preset calculation formulas, preset qualitative grading standards, and preset grade-score mapping rules.

[0035] For example, the evaluation terminal can perform an initial evaluation of the indicator dataset according to preset evaluation rules. For quantitative indicators, the evaluation terminal can call the built-in calculation formula to calculate the basic data and obtain the original values ​​of the quantitative indicators; for qualitative indicators, the evaluation terminal can determine the level of the basic data according to the inherent laws of vegetation ecological characteristics and qualitative grading standards, generate the original level, and convert the original level into a calculable assigned score through the level-score mapping rule. The original values ​​of the quantitative indicators and the assigned scores of the qualitative indicators constitute the initial evaluation values ​​of each indicator.

[0036] Furthermore, the evaluation terminal can use the membership function method to standardize the initial evaluation values, and through linear transformation, map the initial evaluation values ​​of different ranges to a unified score range to obtain the standardized scores of each indicator.

[0037] Optionally, the membership function method can be a linear membership function. The linear membership function maps the initial evaluation values ​​of different ranges and dimensions to a preset standardized score range through linear transformation, thereby eliminating the comparability between indicators.

[0038] Optionally, each indicator may include positive and negative indicators. Positive indicators may be those that indicate a higher initial evaluation value, which in turn indicates a better ecological state and stronger ecological function of the island vegetation; negative indicators may be those that indicate a lower initial evaluation value, which in turn indicates a better ecological state of the island vegetation and less negative impact.

[0039] Preferably, the evaluation terminal can standardize the initial evaluation values ​​of each indicator using the following formula to obtain the standardized score of each indicator.

[0040] Preferably, the standardized score of the positive indicator can be calculated using the following formula:

[0041]

[0042] In the formula, The standardized scores for positive indicators all fall within the 0-10 range. This represents the initial evaluation value of the positive indicator. This represents the minimum reference standard for positive indicators. This represents the maximum reference standard for positive indicators.

[0043] Preferably, the standardized score of the reverse indicator can be calculated using the following formula:

[0044]

[0045] In the formula, The standardized score for the reverse indicator falls uniformly in the range of 0-10. This represents the initial evaluation value of the positive indicator. This represents the maximum reference standard for the contrarian indicator. This represents the minimum reference standard for the reverse indicator.

[0046] S103. Call the preset weight system, match each indicator with the weight entries stored in the weight system, and generate the weight value corresponding to each indicator.

[0047] Optionally, the preset weight system can be constructed based on the Delphi method. The weight system can be stored in the form of key-value pairs, where the key is a unique identifier for the indicator and the value is the weight value corresponding to the unique identifier for the indicator.

[0048] For example, the evaluation terminal can call a preset weight system and match each indicator in the indicator base dataset with the weight entries in the weight system through the unique identifier of the indicator. The matching process adopts a dual mechanism of string matching and logical verification to obtain the weight value corresponding to each indicator.

[0049] S104. Based on the standardized scores and the corresponding weight values ​​of each indicator, the structural morphology index, sustainability index, and disturbance index of the island vegetation to be evaluated are calculated sequentially by weighted summation. The structural morphology index, sustainability index, and disturbance index are then integrated to generate a comprehensive evaluation score for the island vegetation to be evaluated.

[0050] Optionally, the comprehensive evaluation score of island vegetation is used to characterize the ecological status of the island vegetation to be evaluated.

[0051] Optionally, the structural morphology index is used to quantitatively characterize the status of the island vegetation under evaluation in terms of species composition, community structure, and biodiversity.

[0052] Optionally, the sustainability index is used to quantitatively characterize the natural regeneration capacity, survival adaptability, and resource maintenance potential of the island vegetation to be evaluated under the special environment of the island.

[0053] Optionally, the disturbance index is used to quantify the degree of negative impact of external biotic and abiotic stresses on the vegetation of the island being evaluated.

[0054] Optionally, the calculation of the structural morphology index may include five indicators: community structure, coverage, species diversity index, naturalness, and endemic species importance value.

[0055] Optionally, the sustainability index can be calculated using six indicators: natural regeneration level, soil thickness level, humus layer thickness, salt tolerance, average precipitation, and wind resistance.

[0056] Optionally, the calculation of the disturbance index may include four indicators: invasive species damage, pest and disease index, soil salinity, and annual average wind index.

[0057] For example, the evaluation terminal can use a weighted summation method to calculate the structural morphology index, sustainability index, and disturbance index sequentially based on the standardized scores of each indicator and the corresponding weight values ​​of each indicator.

[0058] Furthermore, having obtained the structural morphology index, sustainability index, and disturbance index, the evaluation terminal can weight and integrate these indices according to their respective weight values ​​to generate a comprehensive evaluation score for island vegetation.

[0059] S105. The range standardization method is used to convert the comprehensive evaluation score of island vegetation into a standardized score, and the standardized score is compared with the preset grade threshold range to obtain the current status grade of the island vegetation to be evaluated.

[0060] For example, the evaluation terminal can use the range standardization method to perform secondary standardization on the comprehensive evaluation score of island vegetation. The range standardization method can eliminate the differences in the numerical range of the comprehensive evaluation score of island vegetation and transform it into a standardized score in the range of 0-100.

[0061] Furthermore, the evaluation terminal can compare the standardized score with the threshold range of each level one by one, and obtain the range of the standardized score through interval matching logic, thereby obtaining the current status level of the island vegetation to be evaluated.

[0062] Optionally, the current status level of the island vegetation to be evaluated can include excellent, good, medium, poor, and very poor.

[0063] The aforementioned method for evaluating island vegetation utilizes a pre-constructed, multi-level evaluation index system tailored to the characteristics of island vegetation. It integrates 15 specific evaluation indicators across three dimensions—structure and morphology, sustainability, and disturbance—overcoming the limitations of traditional methods that rely on single indicators and narrow perspectives. This method achieves a comprehensive, multi-factor, and multi-process systematic evaluation of the ecological status of island vegetation. Through pre-defined quantitative calculation formulas, qualitative grading standards, and membership function methods, complex ecological observation data is transformed into standardized scores with unified dimensions and comparable approximations. This effectively reduces the subjective arbitrariness of human experience-based judgments and ensures the consistency and repeatability of the evaluation process and results. By introducing a weighted fusion system based on expert knowledge and outputting a quantified comprehensive score and status level, complex ecological information is condensed into clear and easily understandable assessment conclusions. This provides direct and robust scientific evidence for identifying priority areas for island ecological protection and restoration and for formulating management measures. This method enables the scientific assessment and efficient management of island vegetation resources.

[0064] In one embodiment, the initial evaluation of the indicator base dataset is performed according to preset evaluation rules to obtain the initial evaluation value of each indicator, which may include the following steps:

[0065] Preferably, the preset evaluation rules may include preset calculation formulas, preset qualitative grading standards, and preset grade-score mapping rules; wherein, the calculation formulas can be used to quantify the basic data corresponding to the quantitative indicators; the qualitative grading standards can be used to classify the state of the qualitative indicators according to their ecological significance; and the grade-score mapping rules can be used to assign a corresponding quantitative score to each grade of the qualitative indicators.

[0066] S201. Calculate the basic data belonging to quantitative indicators in the basic data set of the indicator base dataset using the calculation formula to obtain the original values ​​of the quantitative indicators.

[0067] Optionally, quantitative indicators may include coverage, species diversity index, endemic species importance value, and annual average wind index.

[0068] Preferably, the original numerical expression for coverage can be:

[0069]

[0070] in, The raw numerical value representing coverage. This represents the sum of the areas where all vegetation types are distributed. This indicates the land area of ​​the evaluation region.

[0071] Preferably, the original numerical expression for the importance value of endemic species can be:

[0072]

[0073] in, The original numerical value representing the importance of endemic species. Indicates the relative abundance of endemic species. Indicates the relative frequency of endemic species. It indicates the relative dominance of endemic species.

[0074] Preferably, the original numerical expression for the species diversity index can be:

[0075]

[0076] in, This represents the raw numerical value of the species diversity index. Indicates species Species importance value.

[0077] Preferably, the original numerical expression for the annual average wind index can be:

[0078]

[0079] in, This represents the raw value of the annual average gale index. This indicates the average number of days per year with wind speeds greater than level 8.

[0080] For example, the evaluation terminal can calculate the quantitative indicators in the indicator base dataset according to the calculation formula to obtain the original values ​​of the quantitative indicators.

[0081] Optionally, quantitative indicators may include coverage, species diversity index, endemic species importance value, and annual average wind index.

[0082] Optionally, the data sources for quantitative indicators may include, but are not limited to, vegetation distribution area data obtained from the interpretation of high-resolution remote sensing images and land area of ​​the evaluation area obtained through on-site mapping using the Global Positioning System.

[0083] S202. Based on the qualitative grading standard, the basic data in the basic dataset that belong to the qualitative indicators are graded to obtain the original grading of the qualitative indicators.

[0084] Optionally, qualitative indicators may include community structure, natural regeneration level, soil layer thickness level, humus layer thickness, salt and alkali tolerance, wind resistance, invasive species damage, pest and disease index, and soil salinity.

[0085] Optionally, the basic data for qualitative indicators can be obtained through, but is not limited to, multi-dimensional field surveys and verification of authoritative data; the basic data for community structure can come from field survey records; the basic data for natural regeneration level can come from surveys of the types, quantities, and growth status of seedlings per unit area under the forest canopy; the basic data for soil layer thickness level can come from soil profile sampling and analysis; the basic data for invasive species damage, pest and disease index, and soil salinity can come from surveys of the impact range of invasive species, field records of the occurrence of pests and diseases, and soil salinity measurement results, respectively.

[0086] For example, the evaluation terminal can classify the basic data of community structure based on the layer integrity and dominant species ratio of vegetation trees, shrubs, and herbs, and in conjunction with the community structure stability theory in ecology; the evaluation terminal can determine the basic data of natural regeneration level by referring to the relevant standards in the technical regulations for forest resource planning and design surveys; the evaluation terminal can classify the basic data of salt and alkali tolerance and wind resistance based on the measured thickness of soil cumulative thickness and humus layer, and the correlation between soil fertility and vegetation growth adaptability; the evaluation terminal can classify the basic data of salt and alkali tolerance and wind resistance based on species characteristic data recorded in existing literature and field stress resistance observation results; the evaluation terminal can define the level of adaptability of different species by combining the survival adaptation rules of vegetation in the special environment of islands; the evaluation terminal can classify the basic data of invasive species damage, pest and disease index and soil salinity according to the degree of harm in an ecological sense.

[0087] S203. Based on the grade-score mapping rule, assign values ​​to the original grades of the qualitative indicators to obtain the assigned scores of the qualitative indicators.

[0088] Optionally, the grade-score mapping rules can be constructed based on expert consensus, ecological theories, and industry standards for island vegetation evaluation, and the grade-score mapping rules can be stored in the local database of the evaluation terminal.

[0089] For example, the evaluation terminal can call the original grading results of the corresponding qualitative indicators through the unique identifier of the indicators based on the preset grade-score mapping rules, and retrieve the preset mapping rule library to match the corresponding score range to obtain the quantitative assigned score.

[0090] S204. Define the original values ​​of quantitative indicators and the assigned scores of qualitative indicators as the initial evaluation values ​​of each indicator.

[0091] For example, the evaluation terminal can standardize the data format of the original values ​​of quantitative indicators and the assigned scores of qualitative indicators, and store each initial evaluation value in a unified structured data format.

[0092] Furthermore, the evaluation terminal can associate and bind the initial evaluation value of each indicator and the indicator identifier corresponding to the initial evaluation value according to the hierarchical structure and classification logic of the island vegetation evaluation indicator system, and generate a structured data set including indicator name, indicator type and initial evaluation value.

[0093] In this embodiment, the evaluation terminal uses preset calculation formulas, qualitative grading standards, and grade-score mapping rules to perform automated quantitative calculations and standardized qualitative grading conversions on the basic data of various indicators of the island vegetation to be evaluated. This can unify the original ecological data from different sources and of different types into comparable and calculable initial evaluation values, laying a reliable data foundation for subsequent objective, consistent, standardized, and comprehensive evaluations.

[0094] In one embodiment, the expression for the standardized score can be:

[0095]

[0096] in, Indicates the standardized score. This represents the initial evaluation value of each indicator. This represents the maximum value of the reference standard for each indicator. This represents the minimum reference standard value for each indicator. This represents the maximum score corresponding to the reference standard. This represents the minimum score corresponding to the reference standard.

[0097] In this embodiment, the evaluation terminal uses a membership function mapping formula to uniformly convert the initial evaluation values ​​of each indicator with different dimensions and magnitudes to a preset score range. This can eliminate the differences in dimensions and scale between indicators, and improve the accuracy of subsequent index fusion and comprehensive evaluation.

[0098] In one embodiment, the expression for the comprehensive evaluation score of island vegetation can be:

[0099]

[0100] in, This indicates the overall evaluation score of the island's vegetation. Indicates structural morphology index. Indicates structural form weights. Indicating a sustainability index, Indicates sustainability weight, Indicates the interference index. Indicates interference weights;

[0101] Preferably, the expression for the structural morphology index can be:

[0102]

[0103] in, Indicates structural morphology index. These represent the standardized scores of five indicators: community structure, cover, species diversity index, naturalness, and endemic species importance value. These represent the weight values ​​of five indicators: community structure, cover, species diversity index, naturalness, and endemic species importance. The numbering of each indicator in community structure, cover, species diversity index, naturalness, and endemic species importance value;

[0104] Preferably, the expression for the sustainability index can be:

[0105]

[0106] in, Indicating a sustainability index, These represent the standardized scores for six indicators: natural regeneration level, soil layer thickness level, humus layer thickness, salt and alkali tolerance, average precipitation, and wind resistance. These represent the weight values ​​of six indicators: natural regeneration level, soil layer thickness level, humus layer thickness, salt and alkali tolerance, average precipitation, and wind resistance. The numbering of each indicator in community structure, cover, species diversity index, naturalness, and endemic species importance value;

[0107] Preferably, the expression for the interference index can be:

[0108]

[0109] in, Indicates the interference index. These represent the standardized scores for four indicators: invasive species damage, pest and disease index, soil salinity, and annual average wind index. These represent the weight values ​​of four indicators: invasive species damage, pest and disease index, soil salinity, and annual average wind index. This refers to the numbering of each indicator in the categories of invasive species damage, pest and disease index, soil salinity, and annual average wind index.

[0110] In this embodiment, the evaluation terminal uses a weighted fusion system to weight and integrate standardized indices of structural morphology, sustainability, and disturbance, enabling a comprehensive quantitative assessment of the multi-dimensional ecological characteristics of island vegetation.

[0111] In one embodiment, the hierarchical structure of the island vegetation evaluation index system includes a target layer, a criterion layer, and an indicator layer; wherein, the target layer can be used to characterize the core objective of the comprehensive evaluation of the current status of the island vegetation to be evaluated; the criterion layer can be used to define the evaluation dimensions on which the core objective of the comprehensive evaluation is based; and the indicator layer can be used to define specific evaluation indicators for quantitative or qualitative assessment of each evaluation dimension.

[0112] The process of constructing an evaluation index system for island vegetation may include the following steps:

[0113] S501. The current status evaluation of island vegetation is taken as the target layer of the island vegetation evaluation index system.

[0114] For example, the evaluation terminal can take the evaluation of the current status of island vegetation as the target layer of the island vegetation evaluation index system, based on industry standards for island ecological protection, existing vegetation evaluation research results and actual management decision-making needs.

[0115] S502. Decompose the target layer into structural morphology dimension, sustainability dimension and disturbance dimension, and use the structural morphology dimension, sustainability dimension and disturbance dimension as the evaluation dimensions of the criterion layer.

[0116] Optionally, the structural morphology dimension can be used to characterize the rationality of vegetation species composition and community structure; the sustainability dimension can be used to characterize the adaptability of vegetation to the special environment of the island; and the disturbance dimension can be used to characterize the degree of external pressure on vegetation.

[0117] For example, the evaluation terminal can set a structural morphology dimension based on the ecological principle that "species composition and community structure are the basis of vegetation ecological function" and combined with the unique ecological characteristics of island vegetation; the evaluation terminal can set a sustainability dimension based on the theory that "vegetation adaptation to the environment is the key to long-term survival"; the evaluation terminal can set a disturbance dimension based on the research conclusion that "external pressure is an important driving factor of vegetation degradation" and focusing on biotic and abiotic external pressures.

[0118] S503. Based on a preset set of common features of island vegetation, specific evaluation indicators are selected for each evaluation dimension by matching the mapping relationship between the set of common features of island vegetation and each evaluation dimension, so as to form an indicator layer.

[0119] Optionally, the set of common characteristics of island vegetation can provide an ecological basis for selecting specific evaluation indicators for each evaluation dimension. The set of common characteristics of island vegetation can be constructed based on the zonal and azonal distribution characteristics, closed independence, vulnerability and susceptibility to disturbance of island vegetation. The set of common characteristics of island vegetation can integrate research results and practical data in the field of island ecology and store them in the local database of the evaluation terminal.

[0120] Optionally, specific evaluation indicators for the structural morphology dimension may include community structure, coverage, species diversity index, naturalness, and endemic species importance value.

[0121] Optionally, specific evaluation indicators for the sustainability dimension may include natural regeneration level, soil thickness level, humus layer thickness, salt tolerance, average precipitation, and wind resistance.

[0122] Optionally, the specific evaluation indicators for the disturbance dimension can include invasive species damage, pest and disease index, soil salinity, and annual average wind index.

[0123] Optionally, the preset set of common characteristics of island vegetation can be constructed based on the zonal and azonal distribution characteristics, closed independence, vulnerability and susceptibility to disturbance of island vegetation. The preset set of common characteristics of island vegetation can integrate research results and practical data in the field of island ecology and store them in the local database of the evaluation terminal, providing a clear ecological basis for the selection of indicators.

[0124] For example, the evaluation terminal can standardize and quantify the set of common features of island vegetation to obtain a quantized vector of common features of island vegetation.

[0125] Preferably, the expression for the quantization vector of common features of island vegetation can be:

[0126]

[0127] In the formula, This represents a quantized vector of common features of island vegetation. The weight values ​​represent the zonal and non-zonal characteristics. The weights representing closed independence Weights representing vulnerability Indicates susceptibility to interference. Represents the raw quantized values ​​of zonal and azonal properties. The original quantized value representing closed independence. The raw quantification value representing vulnerability, This represents the original quantized value of the susceptible characteristics.

[0128] Optionally, It can be obtained by normalizing the island ecological survey data.

[0129] Furthermore, the evaluation terminal can calculate the correlation between the quantified vector of common features of island vegetation and each evaluation dimension using the following formula:

[0130]

[0131] In the formula, Indicates evaluation dimensions The degree of correlation with the set of common characteristics of island vegetation. The first quantization vector representing the common features of island vegetation One portion, express , express , express , express , Indicates evaluation dimensions, Indicates evaluation dimensions With the The correlation coefficient of common features of items Indicates the structural morphology dimension. Indicating the sustainability dimension, Indicates the dimension of interference.

[0132] Furthermore, for the potential indicators under each evaluation dimension The potential indicators for each evaluation dimension can be calculated using the following formula. Correlation with this evaluation dimension Matching degree And filter Indicators exceeding the preset screening threshold constitute the indicator layer:

[0133]

[0134] In the formula, Indicators of potential Evaluation Dimensions The degree of matching, Indicators of potential With the The coefficient of fit of common features. Indicate evaluation dimensions With the The correlation coefficient of common features of items, representing, Indicate evaluation dimensions The degree of correlation with the set of common characteristics of island vegetation.

[0135] Furthermore, the evaluation terminal can establish a mapping relationship between the common characteristics of island vegetation and the dimensions of each criterion layer, and select indicators such as community structure and the importance value of endemic species in a targeted manner to match the uniqueness of island species; the sustainability dimension can match the "vulnerability" characteristic, and indicators such as salt tolerance and wind resistance can be selected to adapt to the special environment of islands; the disturbance dimension can match the "susceptibility to disturbance" characteristic, and indicators such as the harm of invasive species and the pest and disease index can be selected to adapt to the type of external pressure.

[0136] Furthermore, the evaluation terminal can integrate specific evaluation indicators from various evaluation dimensions to form an indicator layer.

[0137] S504. Using the Analytic Hierarchy Process (AHP), the target layer, criterion layer, and indicator layer are organized into a hierarchical structure model. Pre-stored expert consultation data is called to determine the logical relationships between the levels in the hierarchical structure model, and the island vegetation evaluation index system is set up.

[0138] Optionally, the pre-stored expert consultation data can be generated by a team of experts in the fields of island ecology, vegetation ecology, and environmental management through multiple rounds of verification regarding the logical relationships between different levels. The expert consultation data may include, but is not limited to, hierarchical compatibility verification standards and association rules.

[0139] For example, the evaluation terminal can organize the target layer, criterion layer, and indicator layer into a preliminary hierarchical structure model using the analytic hierarchy process (AHP), and then call pre-stored expert consultation data to perform logical verification and optimization of the preliminary hierarchical structure model.

[0140] Preferably, the implementation of the analytic hierarchy process (AHP) may include the following steps:

[0141] S5041. For the hierarchical relationship between "target layer - criterion layer" and "criterion layer - indicator layer", construct judgment matrices respectively. The judgment matrices can be used to quantify the importance of elements at the same level relative to elements at the next higher level.

[0142] Preferably, taking "target layer (assessment of the current status of island vegetation) - criterion layer (structural morphology, sustainability, and disturbance)" as an example, the judgment matrix... The expression can be:

[0143]

[0144] In the formula, This represents the judgment matrix of the criterion layer relative to the target layer. The first in the criterion layer The element is relative to the first element The importance score of each element satisfies , .

[0145] S5042, Solving the judgment matrix Maximum eigenvalue and the largest eigenvalue The corresponding eigenvectors, and the largest eigenvalue. The corresponding feature vectors are normalized to obtain the weight vectors of each level element.

[0146] Preferably, The expression can be:

[0147]

[0148] In the formula, Represents the judgment matrix The largest eigenvalue, Represents the judgment matrix The Middle The weight value of each element. Represents the judgment matrix With weight vector The product of the first One portion, This represents the importance weight of each element in the same level relative to the element in the level above it. Represents the judgment matrix. This indicates the order of the judgment matrix.

[0149] Preferably, the expression for the weight vector of each level element can be:

[0150]

[0151] In the formula, The weight vector representing the elements at each level is a column vector. Indicates the first The weight of each element, This indicates transpose.

[0152] S5043. Calculate the consistency index and consistency ratio using the following formulas, and conduct consistency checks based on the consistency index and consistency ratio, eliminating expert scores with logical contradictions and retaining valid data.

[0153]

[0154] In the formula, This represents a consistency index, used to characterize the degree of deviation from consistency in the judgment matrix. Represents the judgment matrix The largest eigenvalue, This indicates the order of the judgment matrix.

[0155]

[0156] In the formula, Indicates the consistency ratio. The random consistency index can be obtained based on the verification criteria in pre-stored expert consultation data. This indicates a consistency index.

[0157] Furthermore, the evaluation terminal can obtain a logically coherent and closely related evaluation index system for island vegetation based on the weight allocation results within and between each level.

[0158] In this embodiment, the evaluation terminal scientifically organizes the multi-dimensional evaluation indicators reflecting the characteristics of island vegetation into an indicator system with clear hierarchy and logical relationship by using the analytic hierarchy process and pre-stored expert consultation data, thus constructing a standardized evaluation system for island vegetation that is highly targeted and can be directly applied to subsequent automated evaluation.

[0159] In one embodiment, such as Figure 2 As shown, Figure 2 This application provides a schematic diagram of the construction process of a preset weight system as an exemplary embodiment. The construction process of the weight system may include the following steps:

[0160] S601. Based on the hierarchical structure of the island vegetation evaluation index system, formulate a weighted scoring table.

[0161] Optionally, the weighted scoring table can be used to instruct experts to score the relative importance of each indicator within the same level, and the sum of the scores of each indicator within each level is equal to 1.

[0162] For example, the evaluation terminal can develop a weighted scoring table based on the three-level hierarchical structure of the island vegetation evaluation index system: target layer, criterion layer, and indicator layer. The design of the weighted scoring table can follow the logic of subjective weighting. The evaluation terminal can set up independent scoring units for each criterion layer and its subordinate indicator layers, clearly labeling the indicator name, ecological function description, and constraints for each level—the sum of the scores of all indicators within the same level equals 1.

[0163] S602. Obtain the original scoring data fed back by the preset expert team based on the weighted scoring table, perform consistency verification on the original scoring data, remove abnormal scores, and obtain the effective expert scoring data corresponding to each indicator.

[0164] For example, the evaluation terminal can obtain the raw scoring data fed back by the preset expert team based on the weighted scoring table through a preset encrypted data interface.

[0165] Furthermore, the evaluation terminal can use the consistency verification mechanism in the analytic hierarchy process to perform logical verification on the original scoring data. The logical verification can determine whether there is a logical contradiction in the expert scores by calculating the consistency ratio. If the consistency ratio exceeds the preset consistency ratio threshold, the set of scores is marked as invalid and fed back to the expert team for review and correction.

[0166] Furthermore, the evaluation terminal can identify outlier scores, i.e. extreme values ​​that deviate from the trend of most expert ratings, through statistical methods. After removing invalid and outlier scores, the evaluation terminal can integrate the remaining data that meets the requirements to obtain the valid expert rating data corresponding to each indicator.

[0167] S603. Calculate the arithmetic mean score of the effective expert scores corresponding to each indicator, use the arithmetic mean score as the weight value corresponding to each indicator, and use the set of weight values ​​corresponding to each indicator as the weight system.

[0168] For example, the evaluation terminal can perform an arithmetic mean calculation on the valid expert score data corresponding to each indicator. When the arithmetic mean score is obtained, the evaluation terminal can determine the arithmetic mean score as the final weight value of each indicator.

[0169] Furthermore, the evaluation terminal can organize the weight values ​​of all indicators into a structured data set according to the hierarchical relationship of "criteria layer - indicator layer", and store it in the form of key-value pairs in the local database to obtain a complete weight system.

[0170] In this embodiment, the evaluation terminal transforms subjective experience judgments into objective and quantifiable weight values ​​through targeted scoring by a preset expert team and data verification processing by the system. This constructs a scientific and reasonable weight system that can accurately represent the relative importance of each indicator, providing a reliable weighted calculation basis for subsequent comprehensive evaluation of island vegetation.

[0171] In one embodiment, after obtaining the current status level of the island vegetation to be evaluated, the following steps may also be included:

[0172] S701. Obtain the historical vegetation comprehensive evaluation data sequence of the island vegetation to be evaluated, and conduct a longitudinal comparative analysis between the island vegetation comprehensive evaluation score and the corresponding index in the historical vegetation comprehensive evaluation data sequence to obtain the time evolution trend of the island vegetation to be evaluated.

[0173] Optionally, the historical vegetation comprehensive evaluation data sequence can be a structured data set generated from comprehensive evaluations of the island vegetation to be evaluated in different historical periods.

[0174] Optionally, the temporal evolution trend of the vegetation on the island to be evaluated can be used to characterize the dynamic changes and long-term evolution patterns of the ecological status of the vegetation on the island to be evaluated in the time dimension.

[0175] For example, the evaluation terminal can obtain historical vegetation comprehensive evaluation data sequences of the island vegetation to be evaluated through multiple channels such as authoritative ecological data platforms, long-term monitoring databases, and historical evaluation reports.

[0176] Furthermore, the evaluation terminal can compare the current comprehensive evaluation score of the vegetation on the island to be evaluated with the corresponding index of the comprehensive evaluation score in the historical vegetation comprehensive evaluation data sequence period by period, and use statistical fitting methods to analyze the changing trend of the comprehensive evaluation score. If the score continues to rise, it indicates that the ecological status of the vegetation on the island to be evaluated is gradually improving; if it continues to decline, it indicates that the ecology of the island to be evaluated is degrading; if the fluctuation is small, it indicates that the state of the island to be evaluated is relatively stable, and outputs the time evolution trend of the vegetation on the island to be evaluated.

[0177] S702. Obtain the vegetation status data of the control islands of the island to be evaluated, and conduct a horizontal comparative analysis of at least one of the standardized scores of each indicator of the island to be evaluated, the comprehensive evaluation score of the island vegetation, and the status level with the corresponding data of the control islands to obtain the regional relative level of the vegetation of the island to be evaluated.

[0178] Optionally, the sources for obtaining vegetation status data of the control islands of the island to be evaluated may include, but are not limited to, field ecological survey records, third-party ecological assessment reports, and publicly available island ecological monitoring data.

[0179] For example, the evaluation terminal can screen control islands that have similar geographical locations, climate conditions, vegetation types, and island sizes to the island to be evaluated, ensuring the scientific validity and comparability of the comparison.

[0180] Furthermore, the evaluation terminal can align at least one of the standardized scores of each indicator of the island to be evaluated, the comprehensive evaluation score of the island's vegetation, and the current status level with the corresponding data of the control island, and calculate the difference in indicators and the gap in comprehensive evaluation scores. If the comprehensive evaluation score of the island to be evaluated is higher than that of most control islands, it indicates that the relative level of the vegetation area of ​​the island to be evaluated is relatively high; if the comprehensive evaluation score of the island to be evaluated is lower than that of most control islands, it indicates that the relative level of the vegetation area of ​​the island to be evaluated is relatively low.

[0181] S703. Based on the temporal evolution trend and regional relative level of the vegetation on the island to be evaluated, conduct a vegetation damage assessment of the island to be evaluated to obtain the degree of damage to the vegetation on the island to be evaluated.

[0182] For example, the evaluation terminal assesses vegetation damage based on the temporal evolution trend obtained in S701 and the regional relative level in S702. The vegetation damage assessment can integrate the dynamic changes in the time dimension and the horizontal differences in the spatial dimension to generate a comprehensive judgment rule for the vegetation damage status: if the time trend shows a deterioration trend and the regional relative level is low, it indicates that the degree of damage is severe; if the time trend is stable but the regional level is lagging behind, it indicates that there is a potential risk of damage; if the time trend improves and the regional level is high, it indicates that the degree of damage is slight or no damage.

[0183] S704. Obtain environmental change data and disturbance activity data for the island to be evaluated, construct a set of potential damage factors, and calculate the correlation coefficient between the degree of damage and each factor in the set of potential damage factors using grey relational analysis. Factors with correlation coefficients greater than a preset correlation threshold are identified as the main damage factors to the vegetation of the island to be evaluated. The construction of the set of potential damage factors can be achieved by: classifying and filtering the environmental change data and disturbance activity data to identify natural environmental change factors and anthropogenic disturbance factors; pairing the natural environmental change factors and anthropogenic disturbance factors according to the time dimension to generate time series data corresponding to the natural environmental change factors and anthropogenic disturbance factors; and combining the time series data to obtain the set of potential damage factors.

[0184] Optionally, the environmental change data for the island to be evaluated may include, but are not limited to, changes in temperature, precipitation, and soil salinity.

[0185] Optionally, the disturbance activity data of the island to be evaluated may include, but is not limited to, the intensity of human development, the spread of invasive species, and the frequency of pests and diseases.

[0186] For example, the evaluation terminal can preprocess the acquired environmental change data and disturbance activity data of the island to be evaluated, remove invalid data that is duplicated, missing, or logically contradictory, and obtain preprocessed environmental change data and disturbance activity data.

[0187] Furthermore, the evaluation terminal can invoke preset ecological classification rules to perform attribute matching and logical verification on each piece of preprocessed data: the evaluation terminal can classify data such as temperature changes, precipitation fluctuations, and natural variations in soil salinity into natural environmental change factors based on the attribute characteristics of "spontaneous evolution of the natural environment"; the evaluation terminal can classify data such as the intensity of human development, the spread range of invasive species after human introduction, and the frequency of disease and pest transmission caused by human activities into anthropogenic interference factors based on the attribute characteristics of "directly related to human activities", and remove factor data with ambiguous classification or weak correlation to obtain the natural environmental change factors and anthropogenic interference factors of the island to be evaluated.

[0188] Furthermore, the evaluation terminal can align natural environmental change factors, human interference factors, and damage levels according to the time dimension to generate a synchronized time series.

[0189] Furthermore, the evaluation terminal can use synchronous time series data as input data for grey relational analysis. Based on the technical principle of grey relational analysis in handling uncertain causal relationships, it calculates the correlation coefficient between the time series of each factor and the time series of damage degree. The magnitude of the correlation coefficient can be used to characterize the strength of the factor's influence on the damage degree. Finally, the evaluation terminal can identify factors with correlation coefficients greater than a preset correlation degree threshold as the main damage factors, achieving precise location of the damage cause.

[0190] Optionally, the ecological classification rules can be based on the attribute characteristics of the damaging factors of the island ecosystem, clarifying that the natural environmental change factors are generated by the evolution of the natural environment itself and are not subject to human intervention; and the human interference factors can be the types of factors directly or indirectly caused by human activities.

[0191] S705. Based on the degree of damage and main damage factors of the island vegetation to be evaluated, the corresponding ecological restoration technologies are retrieved from the pre-constructed ecological restoration measures knowledge base to generate protection and restoration measures for the island vegetation to be evaluated.

[0192] Optionally, the ecological restoration measures knowledge base is used to store various preset ecological restoration technologies and to define the correspondence between each ecological restoration measure and different types and degrees of vegetation damage.

[0193] For example, the evaluation terminal can perform multi-condition searches in the ecological restoration measures knowledge base based on the degree of damage in S703 and the main damage factors in S704, select ecological restoration technologies with high technical feasibility and strong targeting, and integrate them to generate personalized protection and restoration measures.

[0194] Optionally, the ecological restoration measures knowledge base may be a pre-integrated set of mature technologies in the field of island vegetation restoration, and may establish association mapping rules between damage type, damage degree and restoration methods; the ecological restoration measures knowledge base may be a search for suitable restoration measures based on the precise matching of damage degree and main damage factors.

[0195] In this embodiment, the evaluation terminal identifies the main damage factors by comparing historical data longitudinally and island data laterally, combined with grey relational analysis, and generates targeted protection and restoration measures, thus achieving an integrated extension from current status evaluation to damage diagnosis and restoration decision-making.

[0196] It should be understood that although the steps in the flowcharts of the embodiments described above are shown sequentially according to the arrows, these steps are not necessarily executed in the order indicated by the arrows. Unless explicitly stated herein, there is no strict order restriction on the execution of these steps, and they can be executed in other orders. Moreover, at least some steps in the flowcharts of the embodiments described above may include multiple steps or multiple stages. These steps or stages are not necessarily completed at the same time, but can be executed at different times. The execution order of these steps or stages is not necessarily sequential, but can be performed alternately or in turn with other steps or at least some of the steps or stages of other steps.

[0197] Based on the same inventive concept, this application also provides an island vegetation evaluation system for implementing the above-mentioned method. The solution provided by this system is similar to the solution described in the above method; therefore, the specific limitations of the one or more island vegetation evaluation system embodiments provided below can be found in the limitations of the island vegetation evaluation method described above, and will not be repeated here.

[0198] In one exemplary embodiment, such as Figure 3 As shown, a system 800 for evaluating island vegetation is provided, comprising:

[0199] The basic dataset generation module 801 is used to obtain the original dataset of the island vegetation to be evaluated, and extract the basic data corresponding to each indicator from the original dataset according to the definition of each indicator in the pre-constructed island vegetation evaluation indicator system, and generate the indicator basic dataset of the island vegetation to be evaluated. Among them, the island vegetation evaluation indicator system is used to provide a standardized evaluation framework; the basic data is used to characterize the ecological state or parameters of the island vegetation to be evaluated corresponding to each indicator; the indicators include qualitative indicators and quantitative indicators.

[0200] The indicator standardization module 802 is used to perform initial evaluation on the indicator basic dataset according to the preset evaluation rules, obtain the initial evaluation value of each indicator, and use the membership function method to standardize the initial evaluation value to obtain the standardized score of each indicator.

[0201] The weight matching module 803 is used to call the preset weight system, match each indicator with the weight entries stored in the weight system, and generate the weight value corresponding to each indicator.

[0202] The index calculation module 804 is used to calculate the structural morphology index, sustainability index, and disturbance index of the island vegetation to be evaluated sequentially through weighted summation based on standardized scores and corresponding weight values ​​for each indicator. It then integrates these indices to generate a comprehensive evaluation score for the island vegetation. The comprehensive evaluation score characterizes the ecological status of the island vegetation; the structural morphology index quantifies the status of the island vegetation in terms of species composition, community structure, and biodiversity; the sustainability index quantifies the natural regeneration capacity, survival adaptability, and resource maintenance potential of the island vegetation under the special environment of the island; and the disturbance index quantifies the degree of negative impact caused by external biotic and abiotic stresses on the island vegetation.

[0203] The grade judgment module 805 is used to convert the comprehensive evaluation score of island vegetation into a standardized score using the range standardization method, and compare the standardized score with the preset grade threshold range to obtain the current status grade of the island vegetation to be evaluated.

[0204] In one embodiment, the indicator standardization module includes:

[0205] The quantitative indicator calculation unit is used to calculate the basic data belonging to the quantitative indicators in the indicator base dataset through the calculation formula to obtain the raw values ​​of the quantitative indicators; among them, the quantitative indicators include coverage, species diversity index, endemic species importance value and annual average wind index.

[0206] The original numerical expression for coverage is:

[0207]

[0208] in, The raw numerical value representing coverage. This represents the sum of the areas where all vegetation types are distributed. Indicates the land area of ​​the evaluation region;

[0209] The original numerical expression for the importance value of endemic species is:

[0210]

[0211] in, The original numerical value representing the importance of endemic species. Indicates the relative abundance of endemic species. Indicates the relative frequency of endemic species. Indicates the relative dominance of endemic species;

[0212] The original numerical expression for the species diversity index is:

[0213]

[0214] in, This represents the raw numerical value of the species diversity index. Indicates species Species importance value;

[0215] The original numerical expression for the annual average gale index is:

[0216]

[0217] in, This represents the raw value of the annual average gale index. This indicates the average number of days per year with wind speeds greater than level 8.

[0218] The qualitative indicator grading unit is used to grade the basic data belonging to qualitative indicators in the indicator basic dataset according to the qualitative grading standards, and obtain the original grading of the qualitative indicators. Among them, the qualitative indicators include community structure, natural regeneration level, soil layer thickness level, humus layer thickness, salt and alkali tolerance, wind resistance, invasive species damage, pest and disease index and soil salinity.

[0219] The score mapping unit is used to assign values ​​to the original grades of qualitative indicators according to the grade-score mapping rules, so as to obtain the assigned scores of the qualitative indicators.

[0220] The initial evaluation value generation unit is used to define the original values ​​of quantitative indicators and the assigned scores of qualitative indicators as the initial evaluation values ​​of each indicator.

[0221] In one embodiment, the indicator standardization module includes:

[0222] The expression for the standardized score is:

[0223]

[0224] in, Indicates the standardized score. This represents the initial evaluation value of each indicator. This represents the maximum value of the reference standard for each indicator. This represents the minimum reference standard value for each indicator. This represents the maximum score corresponding to the reference standard. This represents the minimum score corresponding to the reference standard.

[0225] In one embodiment, the exponent calculation module includes:

[0226] The expression for the comprehensive evaluation score of island vegetation is:

[0227]

[0228] in, This indicates the overall evaluation score of the island's vegetation. Indicates structural morphology index. Indicates structural form weights. Indicating a sustainability index, Indicates sustainability weight, Indicates the interference index. Indicates interference weights;

[0229] The expression for the structural morphology index is:

[0230]

[0231] in, Indicates structural morphology index. These represent the standardized scores of five indicators: community structure, cover, species diversity index, naturalness, and endemic species importance value. These represent the weight values ​​of five indicators: community structure, cover, species diversity index, naturalness, and endemic species importance. The numbering of each indicator in community structure, cover, species diversity index, naturalness, and endemic species importance value;

[0232] The expression for the sustainability index is:

[0233]

[0234] in, Indicating a sustainability index, These represent the standardized scores for six indicators: natural regeneration level, soil layer thickness level, humus layer thickness, salt and alkali tolerance, average precipitation, and wind resistance. These represent the weight values ​​of six indicators: natural regeneration level, soil layer thickness level, humus layer thickness, salt and alkali tolerance, average precipitation, and wind resistance. The numbering of each indicator in community structure, cover, species diversity index, naturalness, and endemic species importance value;

[0235] The expression for the interference index is:

[0236]

[0237] in, Indicates the interference index. These represent the standardized scores for four indicators: invasive species damage, pest and disease index, soil salinity, and annual average wind index. These represent the weight values ​​of four indicators: invasive species damage, pest and disease index, soil salinity, and annual average wind index. This refers to the numbering of each indicator in the categories of invasive species damage, pest and disease index, soil salinity, and annual average wind index.

[0238] In one embodiment, the basic dataset generation module, the construction process of the island vegetation evaluation index system includes:

[0239] The target layer setting unit is used to take the evaluation of the current status of island vegetation as the target layer of the island vegetation evaluation index system.

[0240] The criteria layer decomposition unit is used to decompose the target layer into structural morphology dimension, sustainability dimension, and disturbance dimension, and uses these dimensions as evaluation dimensions of the criteria layer. Among them, the structural morphology dimension is used to characterize the rationality of vegetation species composition and community structure; the sustainability dimension is used to characterize the adaptability of vegetation to the special environment of the island; and the disturbance dimension is used to characterize the degree of external pressure on vegetation.

[0241] The indicator mapping unit is used to select specific evaluation indicators for each evaluation dimension based on a preset set of common characteristics of island vegetation. This is done by matching the mapping relationship between the set of common characteristics of island vegetation and each evaluation dimension to form an indicator layer. The set of common characteristics of island vegetation provides an ecological basis for selecting specific evaluation indicators for each evaluation dimension. Specific evaluation indicators for the structural morphology dimension include community structure, cover, species diversity index, naturalness, and endemic species importance value. Specific evaluation indicators for the sustainability dimension include natural regeneration level, soil layer thickness level, humus layer thickness, salt tolerance, average precipitation, and wind resistance. Specific evaluation indicators for the disturbance dimension include invasive species damage, pest and disease index, soil salinity, and annual average wind index.

[0242] The hierarchical structure building unit is used to organize the target layer, criterion layer, and indicator layer into a hierarchical structure model using the analytic hierarchy process (AHP), and calls pre-stored expert consultation data to determine the logical relationships between the levels in the hierarchical structure model, thereby setting up the island vegetation evaluation index system.

[0243] In one embodiment, the weight matching module, the weight system construction process includes:

[0244] The scoring table formulation unit is used to formulate a weighted scoring table based on the hierarchical structure of the island vegetation evaluation index system. The weighted scoring table is used to instruct experts to score the relative importance of each indicator within the same level, and the sum of the scores of each indicator within each level is equal to 1.

[0245] The scoring collection unit is used to acquire the raw scoring data fed back by the preset expert team based on the weighted scoring table, perform consistency verification on the raw scoring data, remove abnormal scores, and obtain the effective expert scoring data corresponding to each indicator.

[0246] The system generation unit is used to calculate the arithmetic mean score of the effective expert scoring data corresponding to each indicator, use the arithmetic mean score as the weight value corresponding to each indicator, and use the set of weight values ​​corresponding to each indicator as the weight system.

[0247] In one embodiment, the system further includes:

[0248] The evolution analysis module is used to obtain the historical vegetation comprehensive evaluation data sequence of the island vegetation to be evaluated, and to conduct a longitudinal comparative analysis between the island vegetation comprehensive evaluation score and the corresponding index in the historical vegetation comprehensive evaluation data sequence to obtain the time evolution trend of the island vegetation to be evaluated.

[0249] The comparative analysis module is used to obtain the vegetation status data of the control islands of the island to be evaluated, and to conduct a horizontal comparative analysis of at least one of the standardized scores of each indicator of the island to be evaluated, the comprehensive evaluation score of the island vegetation, and the status level with the corresponding data of the control islands to obtain the regional relative level of the vegetation of the island to be evaluated.

[0250] The damage assessment module is used to assess the vegetation damage of the island to be evaluated based on the temporal evolution trend and regional relative level of the vegetation, and to obtain the degree of damage of the vegetation of the island to be evaluated.

[0251] The damage factor diagnosis module is used to acquire environmental change data and disturbance activity data of the island to be evaluated, construct a set of potential damage factors, calculate the degree of damage and the correlation coefficient between each factor in the potential damage factor set using grey relational analysis, and identify factors with correlation coefficients greater than a preset correlation threshold as the main damage factors to the vegetation of the island to be evaluated. The construction method of the potential damage factor set is as follows: classifying and filtering environmental change data and disturbance activity data to identify natural environmental change factors and anthropogenic disturbance factors; aligning natural environmental change factors and anthropogenic disturbance factors according to the time dimension to generate time series data corresponding to natural environmental change factors and anthropogenic disturbance factors; and combining the time series data to obtain the potential damage factor set.

[0252] The restoration decision generation module is used to generate protection and restoration measures for the vegetation on the island to be evaluated based on the degree of damage and main damage factors of the vegetation to be evaluated, by retrieving and matching corresponding ecological restoration technologies from a pre-built ecological restoration measures knowledge base. The ecological restoration measures knowledge base is used to store various preset ecological restoration technologies and define the correspondence between each ecological restoration technology and different vegetation damage types and degrees.

[0253] In one embodiment, a computer device is provided, including a memory and a processor, the memory storing a computer program, the processor executing the computer program to implement the steps of the island vegetation evaluation method as described above.

[0254] In one embodiment, a computer-readable storage medium is provided having a computer program stored thereon, which, when executed by a processor, implements the steps in the above method embodiments.

[0255] For the device embodiments, since they basically correspond to the method embodiments, the relevant parts can be referred to in the description of the method embodiments. The device embodiments described above are merely illustrative. The components described as separate parts may or may not be physically separate, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed across multiple network units. Some or all of the modules can be selected to achieve the purpose of this disclosure according to actual needs. Those skilled in the art can understand and implement this without creative effort.

[0256] The above-described embodiments are merely illustrative of several implementation methods of the embodiments of this application, and their descriptions are relatively specific and detailed. However, they should not be construed as limiting the scope of the patent application. It should be noted that those skilled in the art can make various modifications and improvements without departing from the concept of the embodiments of this application, and these modifications and improvements all fall within the protection scope of the embodiments of this application.

Claims

1. A method for evaluating island vegetation, characterized in that, The method includes: S101. Obtain the original dataset of the island vegetation to be evaluated, and extract the basic data corresponding to each indicator from the original dataset according to the definition of each indicator in the pre-constructed island vegetation evaluation indicator system to generate the indicator basic dataset of the island vegetation to be evaluated; wherein, the island vegetation evaluation indicator system is used to provide a standardized evaluation framework; the basic data is used to characterize the ecological state or parameters of the island vegetation to be evaluated corresponding to each indicator; the indicators include qualitative indicators and quantitative indicators. S102. The basic dataset of the indicators is initially evaluated according to the preset evaluation rules to obtain the initial evaluation value of each indicator. The initial evaluation value is then standardized using the membership function method to obtain the standardized score of each indicator. S103. Call the preset weight system, match each indicator with the weight entries stored in the weight system, and generate a weight value corresponding to each indicator. S104. Based on the standardized scores and the weight values ​​corresponding to each indicator, the structural morphology index, sustainability index, and disturbance index of the island vegetation to be evaluated are calculated sequentially by weighted summation. The structural morphology index, sustainability index, and disturbance index are then integrated to generate a comprehensive evaluation score for the island vegetation to be evaluated. The comprehensive evaluation score characterizes the ecological state of the island vegetation to be evaluated. The structural morphology index quantifies the status of the island vegetation in terms of species composition, community structure, and biodiversity. The sustainability index quantifies the natural regeneration capacity, survival adaptability, and resource maintenance potential of the island vegetation under the special environment of the island. The disturbance index quantifies the degree of negative impact of external biotic and abiotic pressures on the island vegetation to be evaluated. S105. The comprehensive evaluation score of the island vegetation is converted into a standardized score using the range standardization method, and the standardized score is compared with a preset level threshold range to obtain the current status level of the island vegetation to be evaluated.

2. The method according to claim 1, characterized in that, The preset evaluation rules include preset calculation formulas, preset qualitative grading standards, and preset grade-score mapping rules; wherein, the calculation formulas are used to quantify the basic data corresponding to the quantitative indicators; the qualitative grading standards are used to classify the state of the qualitative indicators into grades according to ecological significance; and the grade-score mapping rules are used to assign a corresponding quantitative score to each grade of the qualitative indicators. The initial evaluation of the indicator dataset according to preset evaluation rules to obtain the initial evaluation value of each indicator includes: S201. Calculate the basic data belonging to the quantitative indicator in the indicator basic dataset using the calculation formula to obtain the original value of the quantitative indicator; wherein, the quantitative indicator includes coverage, species diversity index, endemic species importance value, and annual average wind index. The original numerical expression for the coverage is: in, This represents the original numerical value of the coverage. This represents the sum of the areas where all vegetation types are distributed. Indicates the land area of ​​the evaluation region; The original numerical expression for the importance value of the endemic species is: in, The original numerical value representing the importance of the endemic species. Indicates the relative abundance of endemic species. Indicates the relative frequency of endemic species. Indicates the relative dominance of endemic species; The original numerical expression for the species diversity index is: in, This represents the raw value of the species diversity index. Indicates species Species importance value; The original numerical expression for the annual average gale index is: in, This represents the raw value of the annual average wind index. This indicates the average number of days per year with wind speeds greater than level 8. S202. According to the qualitative grading standard, the basic data belonging to the qualitative indicators in the basic dataset of the indicators are graded to obtain the original grading of the qualitative indicators; wherein, the qualitative indicators include community structure, natural regeneration level, soil layer thickness level, humus layer thickness, salt and alkali tolerance, wind resistance, invasive species damage, pest and disease index and soil salinity. S203. Based on the grade-score mapping rule, assign values ​​to the original grades of the qualitative indicators to obtain the assigned scores of the qualitative indicators. S204. Define the original values ​​of the quantitative indicators and the assigned scores of the qualitative indicators as the initial evaluation values ​​of each indicator.

3. The method according to claim 1, characterized in that, The expression for the standardized score is: in, This represents the standardized score. This represents the initial evaluation value of each of the aforementioned indicators. This represents the maximum value of the reference standard for each of the aforementioned indicators. This represents the minimum reference standard value for each of the aforementioned indicators. This represents the maximum score corresponding to the reference standard. This represents the minimum score corresponding to the reference standard.

4. The method according to claim 1, characterized in that, The expression for the comprehensive evaluation score of the island vegetation is: in, This indicates the overall evaluation score of the island's vegetation. This represents the structural morphology index. Indicates structural form weights. This indicates the sustainability index. Indicates sustainability weight, This indicates the interference index. Indicates interference weights; The expression for the structural morphology index is: in, This represents the structural morphology index. These represent the standardized scores of five indicators: community structure, cover, species diversity index, naturalness, and endemic species importance value. These represent the weight values ​​of five indicators: community structure, cover, species diversity index, naturalness, and endemic species importance. The numbering of each indicator in the community structure, the coverage, the species diversity index, the naturalness, and the endemic species importance value; The expression for the sustainability index is: in, This indicates the sustainability index. These represent the standardized scores for six indicators: natural regeneration level, soil layer thickness level, humus layer thickness, salt and alkali tolerance, average precipitation, and wind resistance. These represent the weight values ​​of six indicators: natural regeneration level, soil layer thickness level, humus layer thickness, salt and alkali tolerance, average precipitation, and wind resistance. The numbering of each indicator in the community structure, the coverage, the species diversity index, the naturalness, and the endemic species importance value; The expression for the interference index is: in, This indicates the interference index. These represent the standardized scores for four indicators: invasive species damage, pest and disease index, soil salinity, and annual average wind index. These represent the weight values ​​of four indicators: invasive species damage, pest and disease index, soil salinity, and annual average wind index. The numbers are assigned to each of the following indicators: invasive species hazard, pest and disease index, soil salinity, and annual average wind index.

5. The method according to any one of claims 1 to 4, characterized in that, The hierarchical structure of the island vegetation evaluation index system includes a target layer, a criterion layer, and an indicator layer. The target layer is used to characterize the core evaluation objective of the current status of the vegetation on the island to be evaluated. The criterion layer is used to define the evaluation dimensions on which the core evaluation objective is based. The indicator layer is used to define specific evaluation indicators for quantitative or qualitative assessment of each evaluation dimension. The construction process of the island vegetation evaluation index system includes: S501. The current status evaluation of island vegetation is taken as the target layer of the island vegetation evaluation index system; S502. The target layer is decomposed into a structural morphology dimension, a sustainability dimension, and a disturbance dimension, and the structural morphology dimension, the sustainability dimension, and the disturbance dimension are used as the evaluation dimensions of the criterion layer; wherein, the structural morphology dimension is used to characterize the rationality of vegetation species composition and community structure; the sustainability dimension is used to characterize the adaptability of vegetation to the special environment of the island; and the disturbance dimension is used to characterize the degree of external pressure on the vegetation. S503. Based on a preset set of common characteristics of island vegetation, specific evaluation indicators are selected for each evaluation dimension by matching the mapping relationship between the set of common characteristics of island vegetation and each of the evaluation dimensions, thus forming the indicator layer; wherein, the set of common characteristics of island vegetation is used to provide an ecological basis for selecting the specific evaluation indicators for each of the evaluation dimensions; the specific evaluation indicators for the structural morphology dimension include community structure, coverage, species diversity index, naturalness, and endemic species importance value; the specific evaluation indicators for the sustainability dimension include natural regeneration level, soil layer thickness level, humus layer thickness, salt and alkali tolerance, average precipitation, and wind resistance; the specific evaluation indicators for the disturbance dimension include invasive species damage, pest and disease index, soil salinity, and annual average wind index. S504. The target layer, the criterion layer, and the indicator layer are organized into a hierarchical structure model using the analytic hierarchy process (AHP), and pre-stored expert consultation data is called to determine the logical relationships between the levels in the hierarchical structure model, thereby setting up the island vegetation evaluation index system.

6. The method according to claim 1, characterized in that, The construction process of the weighting system includes: S601. Based on the hierarchical structure of the island vegetation evaluation index system, a weighted scoring table is formulated; wherein, the weighted scoring table is used to instruct experts to score the relative importance of each of the indicators within the same level, and the sum of the scores of each of the indicators within each level is equal to 1. S602. Obtain the original scoring data fed back by the preset expert team based on the weighted scoring table, perform consistency verification on the original scoring data, remove abnormal scores, and obtain the effective expert scoring data corresponding to each indicator. S603. Calculate the arithmetic mean score of the effective expert rating data corresponding to each indicator, use the arithmetic mean score as the weight value corresponding to each indicator, and use the set of the weight values ​​corresponding to each indicator as the weight system.

7. The method according to claim 1, characterized in that, After obtaining the current status level of the vegetation on the island to be evaluated, the method further includes: S701. Obtain the historical vegetation comprehensive evaluation data sequence of the island vegetation to be evaluated, and conduct a longitudinal comparative analysis between the island vegetation comprehensive evaluation score and the corresponding index in the historical vegetation comprehensive evaluation data sequence to obtain the time evolution trend of the island vegetation to be evaluated. S702. Obtain the vegetation status data of the control island of the island to be evaluated, and perform a horizontal comparative analysis between the standardized score of each indicator of the island to be evaluated, the comprehensive evaluation score of the island vegetation, and the status level of the island and the corresponding data of the control island to obtain the regional relative level of the vegetation of the island to be evaluated. S703. Based on the time evolution trend and regional relative level of the vegetation on the island to be evaluated, conduct a vegetation damage assessment on the vegetation on the island to be evaluated to obtain the degree of damage to the vegetation on the island to be evaluated. S704. Obtain environmental change data and disturbance activity data of the island to be evaluated, construct a set of potential damage factors, calculate the correlation coefficient between the degree of damage and each factor in the set of potential damage factors using grey relational analysis, and identify factors with correlation coefficients greater than a preset correlation threshold as the main damage factors to the vegetation of the island to be evaluated; wherein, the set of potential damage factors is constructed as follows: classify and filter the environmental change data and the disturbance activity data to identify natural environmental change factors and human disturbance factors; align the natural environmental change factors and the human disturbance factors according to the time dimension to generate time series data corresponding to the natural environmental change factors and the human disturbance factors; combine the time series data to obtain the set of potential damage factors; S705. Based on the degree of damage and the main damage factors of the vegetation on the island to be evaluated, protection and restoration measures for the vegetation on the island to be evaluated are generated by retrieving and matching corresponding ecological restoration technologies from a pre-constructed ecological restoration measures knowledge base; wherein, the ecological restoration measures knowledge base is used to store various preset ecological restoration technologies and define the correspondence between each ecological restoration technology and different vegetation damage types and degrees.

8. A vegetation evaluation system for islands, characterized in that, The system includes: A basic dataset generation module is used to acquire the original dataset of the island vegetation to be evaluated, and extract basic data corresponding to each indicator from the original dataset according to the definition of each indicator in the pre-constructed island vegetation evaluation indicator system, thereby generating the indicator basic dataset of the island vegetation to be evaluated; wherein, the island vegetation evaluation indicator system is used to provide a standardized evaluation framework; the basic data is used to characterize the ecological state or parameters of the island vegetation to be evaluated corresponding to each indicator; the indicators include qualitative indicators and quantitative indicators. The indicator standardization module is used to perform an initial evaluation on the indicator basic dataset according to the preset evaluation rules, obtain the initial evaluation value of each indicator, and use the membership function method to standardize the initial evaluation value to obtain the standardized score of each indicator. The weight matching module is used to call a preset weight system, match each indicator with the weight entries stored in the weight system, and generate a weight value corresponding to each indicator. The index calculation module is used to calculate the structural morphology index, sustainability index, and disturbance index of the island vegetation to be evaluated sequentially by weighted summation based on the standardized scores and the weight values ​​corresponding to each index. It then integrates the structural morphology index, sustainability index, and disturbance index to generate a comprehensive evaluation score for the island vegetation. The comprehensive evaluation score characterizes the ecological state of the island vegetation. The structural morphology index quantifies the status of the island vegetation in terms of species composition, community structure, and biodiversity. The sustainability index quantifies the natural regeneration capacity, survival adaptability, and resource maintenance potential of the island vegetation under the special environment of the island. The disturbance index quantifies the degree of negative impact of external biotic and abiotic pressures on the island vegetation. The grade judgment module is used to convert the comprehensive evaluation score of the island vegetation into a standardized score using the range standardization method, and compare the standardized score with a preset grade threshold range to obtain the current status grade of the island vegetation to be evaluated.

9. A computer device comprising a memory and a processor, wherein the memory stores a computer program, characterized in that, When the processor executes the computer program, it implements the steps of the method according to any one of claims 1 to 7.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by a processor, it implements the steps of the method according to any one of claims 1 to 7.

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