A system and method for rapid assessment of plant invasion grade

Abstract

The application relates to the technical field of ecological safety, and discloses a plant invasion grade rapid evaluation system and method, which comprises a multidimensional acquisition module, a species analysis module, a hazard evaluation module and an intelligent control module. The system collects native ecological geographical and plant growth full-dimension data through the multidimensional acquisition module, the species analysis module evaluates the non-native score of each plant, combines the matching rules of hemisphere attribution, climate type and seasonal phenology, completes quantitative calculation of the reproduction capacity of plant groups, generates a reproduction index, can screen high-invasion-potential species in advance, the hazard evaluation module quantifies the comprehensive hazards of plants to the native ecology from five dimensions of light, soil nutrients, water, pollination and allelopathic inhibition, generates an invasion index, the multidimensional evaluation has high precision, the intelligent control module sets a double-threshold grading judgment system, evaluates the difficult-to-control grade and the invasion grade, outputs grading response disposal measures, realizes full-chain closed-loop management, and the intelligent control and prevention and control effect are good.

Description

Technical Field

[0001] This invention relates to the field of ecological security technology, specifically to a rapid assessment system and method for plant invasion levels. Background Technology

[0002] Invasive plants are non-native plants introduced into new ecosystems from their native habitats due to human or natural factors. They possess strong adaptability and competitive advantages, can reproduce and spread rapidly, and cause significant harm to the local ecological environment, biodiversity, agricultural production, or human health. These plants crowd out the living space of native species, disrupt ecological balance, and even cause economic losses. The definition of invasive plants requires a comprehensive consideration of multiple dimensions, including origin, reproductive characteristics, and ecological impact. Non-nativeness is the primary prerequisite, meaning that the plant's natural distribution range does not include the target area, and its appearance in the area depends on human introduction (e.g., for ornamental, fodder, or landscaping purposes) or accidental spread (e.g., entering the country via trade goods or transportation). Regarding dispersal and reproductive capacity, these plants possess highly efficient reproductive mechanisms, reproducing through seeds, rhizomes, and broken branches. Their seeds have high germination rates and wide dispersal range (e.g., aided by wind, water, or animal transport), allowing them to quickly form a single dominant population. In terms of ecological harm, this attribute is the core criterion for judgment. Specifically, it manifests as crowding out the survival resources of native species, reducing biodiversity, altering soil physicochemical properties, hydrological cycles, and other ecological conditions, threatening agricultural and forestry production, competing with crops for nutrients, or becoming hosts for pests and diseases. Some species may also release allelochemicals that inhibit the growth of other plants. In terms of the lack of natural constraints, these plants, upon introduction to new habitats, lose their natural enemies (such as insects and pathogens) and competing species, thus losing natural control and exhibiting explosive growth.

[0003] Currently, traditional rapid assessment systems for plant invasion levels tend to overlook key factors such as phenological cycles, seasonal outbreaks, and interannual climate fluctuations. They have poor phenological adaptability, ignore diffusion mechanisms such as underground seed banks, rhizome cloning, and propagation, and have an extremely high misjudgment rate for invasions of plants spread by rhizomes or water / wind. They are unable to quantify the deep-seated damage that invasive plants cause to native species, soil, water sources, and ecosystem functions. They lack sufficient taxonomic differentiation, can only conduct post-event assessments, lack early warning capabilities, and cannot make advance predictions, making it easy to miss the best window for prevention and control. Summary of the Invention

[0004] To address the shortcomings of existing technologies, this invention provides a rapid assessment system and method for plant invasion levels, which has the advantages of high accuracy in multidimensional assessment and excellent intelligent control and prevention effects. It solves the problems of poor phenological adaptability and insufficient differentiation of plant groups in traditional rapid assessment systems for plant invasion levels.

[0005] To achieve the above objectives, the present invention provides the following technical solution: a rapid assessment system for plant invasion levels, comprising a multi-dimensional data acquisition module, a species analysis module, a hazard assessment module, and an intelligent control module; The multidimensional acquisition module connects to a big data platform to acquire local ecological and geographical data and plant growth management data, and classifies them into local datasets and plant datasets. The species analysis module evaluates the non-native score of each plant species based on the native dataset and the plant dataset. Furthermore, by combining hemispheric affiliation type, climate type, and seasonal influencing factors, the growth status of each plant was analyzed, and a corresponding reproduction index was generated. ; The hazard assessment module analyzes the impact of each plant species on the local ecosystem based on local and plant datasets, generating corresponding invasion indices. ; The intelligent control module is set with a fixed range of reproduction thresholds. and intrusion threshold range Combined with non-local ratings Reproduction Index and Intrusion Index The system selects the corresponding key monitoring list, determines the difficulty level and invasion level of each plant, and outputs the corresponding judgment results and response measures.

[0006] Preferably, the local dataset includes a local list of invasive alien species, local flora, hemispheric classification, climate type, altitude, average canopy cover of all plant species, average leaf area of ​​all plant species, average canopy height of all plant species, soil sample volume, average root length density per unit soil volume of all plant species, average maximum root depth of all plant species, and average daily transpiration rate of all plant species. The hemispheric classification includes the Northern Hemisphere and the Southern Hemisphere, and the climate type includes tropical climate, arid climate, temperate continental climate, polar climate, and highland mountain climate.

[0007] Preferably, the plant dataset includes the taxonomy, origin, natural distribution area, habitat, natural enemies, obligate parasites, sporangium spore production per plant, spore release efficiency, daily cell division rate, bud production, bud survival rate, canopy expansion rate, number of dorsal sori per leaf, number of leaves per plant, number of cones per plant, number of seeds per cone, effective seed reproduction rate, seedling establishment rate, number of asexual reproductions per plant, survival rate of asexual reproductions per plant, average canopy coverage, average leaf area, average canopy height, total root length, maximum root depth, average daily transpiration rate, soil moisture content reduction rate in the planting area relative to the non-invasive native control area, pollen settling rate of native plants in the planting area relative to the non-invasive control area, and biomass of native plants in the planting area under allelopathy relative to the non-invasive control area. The taxonomy includes algae, bryophytes, ferns, gymnosperms, and angiosperms.

[0008] Preferably, the non-locality score The evaluation process is as follows: S11. Based on the local dataset and plant dataset, extract local ecological and geographical data and the first... Plant growth management data; S12, No. Non-native plant score The evaluation process is as follows: The first Non-native plant score The initial value is set to 0 points, the maximum score is 10 points, and the minimum score is 0 points. If the first If a plant species is listed in the local invasive alien species list, its non-native status will be assessed. The score is directly assigned as 10 points, and subsequent scoring is terminated. In local floras, the first If the plant's origin is outside the local area, then the non-native score will be applied. Add 3 points; In local floras, the first Plants whose place of origin is within the territory, but are not native species, will be scored as non-native. Add 2 points; In local floras, the first If the natural distribution area of ​​a plant does not include the native range, then the non-native score will be given. Add 1 point; If the first If the habitat of the plant is along the roadside, on the ridges of the field, in wasteland, next to a building, or in an abandoned site, then the non-native score will be given. Add 1 point; If the first If a plant has no natural enemies or obligate parasites in its native habitat, then its non-native status will be rated. Add 1 point; The priority order is: list determination > origin determination > distribution area determination > habitat determination > auxiliary feature determination. Once a high-priority list determination is triggered, the full score is locked directly, and all low-priority determinations are ineffective. When the list determination is not triggered, the origin, distribution area, habitat, and auxiliary feature determination items can be scored cumulatively, with a cumulative score not exceeding 10 points. The results of high-priority determinations are not overwritten by low-priority conclusions, and low-priority determinations are only effective when high-priority determinations are not triggered.

[0009] Preferably, the reproductive index The calculation process is as follows: S21. Based on the local dataset and plant dataset, extract local ecological and geographical data and the first... Plant growth management data; S22. Seasonal time windows are divided according to hemisphere affiliation type, and the rules are as follows: If the local area belongs to the Northern Hemisphere, the seasonal time windows are divided as follows: spring (March-May), summer (June-August), autumn (September-November), and winter (December-February of the following year); If the local area belongs to the Southern Hemisphere, the seasonal time windows are divided as follows: Spring (September-November), Summer (December-February of the following year), Autumn (March-May), and Winter (June-August); S23 applies to species-level phenological matching rules for both the Northern and Southern Hemispheres, with only the seasonal time windows adjusted according to S22. The species-level phenological matching rules based on hemisphere affiliation are as follows: If the local climate is tropical, in spring, algae, mosses, ferns, and gymnosperms are in their declining growth season, while angiosperms are in their vigorous growth season; in summer, all groups are in their vigorous growth season; in autumn, algae, mosses, and angiosperms are in their declining growth season, while ferns and gymnosperms are in their vigorous growth season; in winter, all groups are in their declining growth season. If the local climate type is arid, all taxa are in the growth decline season in spring; all taxa are in the growth peak season in summer; and all taxa are in the growth decline season from autumn to winter. If the local climate type is subtropical, in spring, algae and ferns are in the growth decline season, while mosses, gymnosperms, and angiosperms are in the vigorous growth season; in summer, algae, ferns, gymnosperms, and angiosperms are in the vigorous growth season, while mosses are in the dormant season; from autumn to winter, all groups are in the growth decline season. If the local climate type is temperate continental, in spring, algae and ferns are in the growth and decline season, while mosses, gymnosperms, and angiosperms are in the growth and flourishing season; in summer, algae, ferns, gymnosperms, and angiosperms are in the growth and flourishing season, while mosses are in the growth and decline season; from autumn to winter, all groups are in the growth and decline season. If the local climate type is a cold climate, all groups are in their peak growing season only in summer, and in their declining growing season in the rest of the year; in winter, all groups are in their dormant season. If the local climate type is plateau and mountain climate, the matching rules are applied according to the altitude gradient: if the altitude is <2000m, the phenological rules corresponding to the local measured climate are applied; if the altitude is between 2000 and 3500m, the temperate continental climate rules are applied; and if the altitude is >3500m, the rules corresponding to the frigid climate are applied. S24, Calculate the first The current single-season elasticity coefficient of plant species under local climate type ; S25, Calculate the first Diffusion coefficient of plant ; S26. After calculating the seasonal correction, the... Diffusion coefficient of plant ; S27. Using the extreme value standardization method, for the first... Non-native plant score Seasonally corrected diffusion coefficient Dimensionless processing is performed to map all parameters to a uniform order of magnitude; S28. Calculate the weighted average. The reproductive index of plants in the current season under the local climate type. .

[0010] Preferably, the intrusion index The calculation process is as follows: S31. Based on the local dataset and plant dataset, extract local ecological and geographical data and the first... Plant growth management data, known number of days Non-native plant score ≥2 points, already screened and recorded in the key monitoring list; S32, Calculate the first Light encroachment coefficient of plant species on native ecosystems ; S33, Calculate the first Soil nutrient encroachment coefficient of plant species on native ecosystems ; S34, Calculate the first Water encroachment coefficient of plant species on native ecosystems ; S35, Calculate the first Pollination encroachment coefficient of plant species on native ecosystems ; S36, Calculate the first Allelopathic inhibition coefficient of plant species on native ecosystem ; S37. Calculate the first using a weighted method. Invasiveness index of plant species on native ecosystems .

[0011] Preferably, the intelligent control module will assign a non-locality score of 2 points or less. Plant species scoring ≤10 points will be included in the key monitoring list. The introduction and spread of these species in the wild, open green spaces, and ecological restoration areas are strictly prohibited. (Non-native scoring) Plant species scoring <2 points will not be included in the key monitoring list, and the corresponding species will be allowed to be introduced and spread in the wild, open green spaces, and ecological restoration areas.

[0012] Preferably, the difficulty-to-control level assessment process is as follows: Let the upper limit of the reproduction threshold range be denoted as The lower limit of the reproduction threshold interval is denoted as ; If the first The reproductive index of plants in the current season under the local climate type. < , indicating the first The plant's reproductive and dispersal capabilities are weak, classifying it as Level 1 difficult to control. Response measures include maintaining the monitoring frequency of the existing species distribution range and regularly removing any sporadic sprouts. ≤th The reproductive index of plants in the current season under the local climate type. ≤ , indicating the first The plant's reproductive and dispersal capabilities are moderate, with a difficulty level of 2. Response measures include increasing the frequency of monitoring the existing species' distribution range, expanding the scope of investigation in surrounding areas, and simultaneously strengthening [further measures]. Physical barriers to planting and manual removal, if the first The reproductive index of plants in the current season under the local climate type. > , indicating the first The plant species has a strong ability to reproduce and spread, and its control difficulty level is 3. Response measures include organizing plant control professionals to conduct on-site inspections, developing a burning disposal plan, strictly controlling the ignition time and wind speed conditions, monitoring the entire burning operation process in real time, and continuously tracking and monitoring the situation. Monitor the propagation and spread dynamics of plants and update treatment plans.

[0013] Preferably, the intrusion level assessment process is as follows: Let the upper limit of the intrusion threshold range be denoted as The lower limit of the intrusion threshold range is denoted as ; If the first Invasiveness index of plant species on native ecosystems < , indicating the first The invasive species poses a low level of threat, classified as Level 1. Response measures include continuous monitoring. The distribution and growth status of plants should be monitored, and any sporadic sprouts should be removed regularly. ≤th Invasiveness index of plant species on native ecosystems ≤ , indicating the first The plant invasion is of moderate severity, classified as invasion level 2. Response measures include real-time monitoring. The distribution range and growth status of the plants were monitored, and physical removal was used simultaneously to suppress their spread. Invasiveness index of plant species on native ecosystems > , indicating the first The invasive plant species poses a high degree of threat, classified as invasion level 3. Response measures include real-time monitoring. The distribution range and growth status of plants were investigated, and targeted pesticides were used to inhibit seedling growth and remove mature plants. Ecological restoration and replanting of native species were carried out simultaneously to investigate whether there were any new invasive spread points.

[0014] A rapid assessment method for plant invasion levels includes the following steps: Step 1: By connecting to a big data platform, obtain local ecological and geographical data and plant growth management data, and classify them into local datasets and plant datasets; Step 2: Evaluate the non-native score for each plant based on the native dataset and the plant dataset. Select the corresponding key monitoring list; Step 3: Analyze the growth status of each plant species based on hemisphere affiliation, climate type, and seasonal influencing factors, and generate the corresponding reproduction index. ; Step 4: Based on the local dataset and plant dataset, analyze the impact of each plant on the local ecosystem and generate the corresponding invasion index. ; Step 5: Set a fixed range for the breeding threshold. and intrusion threshold range Combined with non-local ratings Reproduction Index and Intrusion Index Determine the difficulty level and invasion level of each plant species, and output the corresponding judgment results and response measures.

[0015] Compared with existing technologies, this invention provides a rapid assessment system and method for plant invasion levels, which has the following beneficial effects: 1. This invention collects comprehensive data on local ecology, geography, and plant growth through a multi-dimensional acquisition module, laying a solid and accurate data foundation for the entire process assessment. The species analysis module assesses the non-native score of each plant species. By combining hemisphere affiliation, climate type, and seasonal phenology matching rules, the reproductive capacity of plant groups was quantitatively calculated, and corresponding reproductive indices were generated. This technology addresses the problems of vague qualitative judgments, poor phenological adaptability, and insufficient taxonomic differentiation in traditional methods. It can screen for species with high invasion potential in advance. The hazard assessment module constructs an ecological invasion quantification algorithm from five dimensions: light, soil nutrients, water, pollination, and allelopathic inhibition. This comprehensively characterizes the integrated harm of plants to the native ecosystem and generates corresponding invasion indices. The multidimensional assessment has high accuracy.

[0016] 2. This invention establishes a dual-threshold hierarchical judgment system through an intelligent control module, combined with the reproductive index. and Intrusion Index It completes a dual-dimensional assessment of difficulty in control and intrusion level, outputs graded response and disposal measures, and realizes a closed-loop management of the entire chain from risk screening to implementation and control, which greatly improves the accuracy and efficiency of intrusion prevention and control, effectively reduces the risk of damage to the local ecosystem, and has excellent intelligent control and prevention effects. Attached Figure Description

[0017] Figure 1 This is a system flowchart of the present invention; Figure 2 This is a diagram illustrating the steps of the method of the present invention. Detailed Implementation

[0018] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0019] Example Please see Figure 1 , Figure 2Table 1 shows the experimental data on non-native plant invasiveness scoring, Table 2 shows the experimental data on reproductive index, and Table 3 shows the experimental data on invasion index. This invention provides a rapid assessment system for plant invasion levels, including a multi-dimensional data acquisition module, a species analysis module, a hazard assessment module, and an intelligent control module. The multidimensional data acquisition module connects to a big data platform to acquire local ecological and geographical data and plant growth management data, and classifies them into local datasets and plant datasets. The native dataset includes a list of local invasive alien species, local flora, hemispheric classification, climate type, altitude, average canopy cover of all plant species, average leaf area of ​​all plant species, average canopy height of all plant species, soil sample volume, average root length density per unit soil volume of all plant species, average maximum root depth of all plant species, and average daily transpiration rate of all plant species. The hemispheric classification includes the Northern Hemisphere and the Southern Hemisphere, and the climate types include tropical climate, arid climate, temperate continental climate, polar climate, and highland mountain climate. The plant dataset includes the taxa, origin, natural distribution area, habitat, natural enemies, obligate parasites, sporangium spore production per plant, spore release efficiency, daily cell division rate, bud production, bud survival rate, canopy expansion rate, number of dorsal sori per leaf, number of leaves per plant, number of cones per plant, number of seeds per cone, effective seed reproduction rate, seedling establishment rate, number of asexual reproductions per plant, survival rate of asexual reproductions per plant, average canopy coverage, average leaf area, average canopy height, total root length, maximum root depth, average daily transpiration rate, soil moisture content reduction rate in the planted area relative to the non-invasive native control area, pollen settling rate of native plants in the planted area relative to the non-invasive control area, and biomass reduction rate of native plants in the planted area under allelopathy relative to the non-invasive control area. The taxa include algae, bryophytes, ferns, gymnosperms, and angiosperms. The species analysis module assesses the non-native score of each plant species based on the native dataset and the plant dataset. Furthermore, by combining hemispheric affiliation type, climate type, and seasonal influencing factors, the growth status of each plant was analyzed, and a corresponding reproduction index was generated. ; Non-native rating The evaluation process is as follows: S11. Based on the local dataset and plant dataset, extract local ecological and geographical data and the first... Plant growth management data; S12, No. Non-native plant score The evaluation process is as follows: The first Non-native plant score The initial value is set to 0 points, the maximum score is 10 points, and the minimum score is 0 points. If the first If a plant species is listed in the local invasive alien species list, its non-native status will be assessed. The score is directly assigned as 10 points, and subsequent scoring is terminated. In local floras, the first If the plant's origin is outside the local area, then the non-native score will be applied. Add 3 points; In local floras, the first Plants whose place of origin is within the country, but are not native species (i.e., whose place of origin is in other regions of the country and are not native), will be scored as non-native. Add 2 points; In local floras, the first If the natural distribution area of ​​a plant does not include the local area (regardless of whether it is within or outside the place of origin, the determination is based solely on the distribution range), then it will be scored as non-native. Add 1 point; If the first If the plant's habitat is along roadsides, on field ridges, in wastelands, near buildings, or abandoned sites (i.e., pioneer habitats with strong human disturbance, which align with the habitat preferences of invasive plants), then its non-native score will be increased. Add 1 point; If the first If a plant species lacks natural enemies or obligate parasites in its native habitat (i.e., it lacks the natural constraints of a native ecosystem), then its non-native score will be applied. Add 1 point; The priority order is: list determination > origin determination > distribution area determination > habitat determination > auxiliary feature determination. Once the high-priority list determination is triggered, the full score is locked directly, and all low-priority determinations are ineffective. When the list determination is not triggered, the origin, distribution area, habitat, and auxiliary feature determination items can be scored cumulatively, with a cumulative score not exceeding 10 points. The results of high-priority determinations are not overwritten by low-priority conclusions, and low-priority determinations are only effective when high-priority determinations are not triggered. Specifically, by accurately distinguishing different levels of non-native attributes, such as those originating overseas, not native to the local area, and those whose natural distribution does not cover the local area, the system transforms vague qualitative judgments into a standardized scoring system of 0-10 points, achieving uniformity in judgment standards across different regions and species. This system can accurately identify invasive species already in the database, and also conduct quantitative risk assessments for species not listed but with prominent non-native attributes and invasive potential, thus identifying high-risk targets in advance. This allows for the construction of a proactive management mechanism for early screening and prevention of ecological risks, avoiding passive governance after an invasion outbreak and effectively reducing the probability of damage to native ecosystems. The following is the data from the non-native rating experiment, as shown in Table 1: Table 1: Non-native rating experiment data Table 1 shows the non-native scoring experimental data. Canadian goldenrod, Wedelia candel, and Fujian cypress were selected as experimental targets, and the native region was set as Guangzhou City, Guangdong Province. Based on the assessment, Canadian goldenrod and Wedelia candel will be included in the key monitoring list, and their introduction and spread in the wild, open green spaces and ecological restoration areas are strictly prohibited. Fujian cypress will not be included in the key monitoring list, but its introduction and spread in the wild, open green spaces and ecological restoration areas are permitted. Reproduction Index The calculation process is as follows: S21. Based on the local dataset and plant dataset, extract local ecological and geographical data and the first... Plant growth management data; S22. Seasonal time windows are divided according to hemisphere affiliation type, and the rules are as follows: If the local area belongs to the Northern Hemisphere, the seasonal time windows are divided as follows: spring (March-May), summer (June-August), autumn (September-November), and winter (December-February of the following year); If the local area belongs to the Southern Hemisphere, the seasonal time windows are divided as follows: Spring (September-November), Summer (December-February of the following year), Autumn (March-May), and Winter (June-August); Specifically, for arid / semi-arid regions, additional rainy / dry season time windows can be added to replace the four seasons and match the growth rhythm of desert plants; S23 applies to species-level phenological matching rules for both the Northern and Southern Hemispheres, with only the seasonal time windows adjusted according to S22. The species-level phenological matching rules based on hemisphere affiliation are as follows: If the local climate is tropical, in spring, algae, mosses, ferns, and gymnosperms are in their declining growth season, while angiosperms are in their vigorous growth season; in summer, all groups are in their vigorous growth season; in autumn, algae, mosses, and angiosperms are in their declining growth season, while ferns and gymnosperms are in their vigorous growth season; in winter, all groups are in their declining growth season. If the local climate type is arid, all taxa are in the growth decline season in spring (snowmelt season); all taxa are in the growth peak season in summer (rainy season); and all taxa are in the growth decline season from autumn to winter (dry season). If the local climate type is subtropical, in spring, algae and ferns are in the growth decline season, while mosses, gymnosperms, and angiosperms are in the vigorous growth season; in summer, algae, ferns, gymnosperms, and angiosperms are in the vigorous growth season, while mosses are in the dormant season; from autumn to winter, all groups are in the growth decline season. If the local climate type is temperate continental, in spring, algae and ferns are in the growth and decline season, while mosses, gymnosperms, and angiosperms are in the growth and flourishing season; in summer, algae, ferns, gymnosperms, and angiosperms are in the growth and flourishing season, while mosses are in the growth and decline season; from autumn to winter, all groups are in the growth and decline season. If the local climate type is a cold climate, all groups are in their peak growing season only in summer, and in their declining growing season in the rest of the year; in winter, all groups are in their dormant season. If the local climate type is plateau and mountain climate, the matching rules are applied according to the altitude gradient: if the altitude is <2000m, the phenological rules corresponding to the local measured climate are applied; if the altitude is between 2000 and 3500m, the temperate continental climate rules are applied; and if the altitude is >3500m, the rules corresponding to the frigid climate are applied. S24, Calculate the first The current single-season elasticity coefficient of plant species under local climate type Only for diffusion coefficient To correct this and prevent it from directly participating in subsequent weighted calculations, thus avoiding distortion caused by fixed-value standardization, its expression is as follows: In the formula, Indicates climate type, , Indicates the season, Arid / semi-arid regions can be replaced with rainy season / dry season. Indicates the first Planting plants Under what climate type, currently The seasonal elasticity coefficient, if the first... Planting plants The season is the peak growing season, and the current single-season elasticity coefficient is... Directly assign the value 1.2, if the first... Planting plants The season is the growth and decline season, and the current single-season elasticity coefficient is... Directly assign the value 0.8, if the first... Planting plants The season is the dormant season, and the current single-season elasticity coefficient is... The value is directly assigned as 0.5; S25, Calculate the first Diffusion coefficient of plant Its expression is as follows: If the first The plant species are algae, which mainly spread through spores, gametes, or cell division, and have strong diffusivity. In the formula, Indicates the first The number of sporangia produced per plant of a plant. Indicates the first The spore release efficiency of plant plants Indicates the first The daily cell division rate of the plant, Indicates the first Correction factor for plant propagation vectors (1.2 for wind / water propagation, 1.5 for human-mediated propagation, and 0.8 for no active propagation vectors). If the first The plant group is bryophytes. As vascular plants, bryophytes have limited vertical growth and their survival advantage is mainly reflected in the horizontal expansion of their cover. They are small plants and spore dispersal is the main pathway. In the formula, Indicates the first Plant bud yield, Indicates the first The survival rate of plant buds Indicates the first The rate of vegetation cover expansion; If the first The plant species are ferns, with well-developed sporophytes and extremely fine spore particles, making them highly susceptible to wind dispersal. In the formula, Indicates the first Number of sori per leaf of the plant Indicates the first The number of leaves per plant. Indicates the first The contribution coefficient of asexual reproduction of plant rhizomes (usually 0.1-0.5); If the first The plant species are gymnosperms, which are mainly pollinated by wind and seeds. The seeds are mostly winged and have good dispersal ability. In the formula, Indicates the first Number of cones per plant of a plant Indicates the first Number of seeds per cone of a plant Indicates the first Effective seed reproduction rate of plants Indicates the first Seedling establishment rate of plants; If the first The plant species are angiosperms, which have the most diverse reproduction and dispersal strategies (wind, water, animals, self-seeding, etc.). In the formula, Indicates the first The number of asexual propagules per plant. Indicates the first Survival rate of single asexual propagations of plants; S26. After calculating the seasonal correction, the... Diffusion coefficient of plant Its expression is as follows: S27. Using the extreme value standardization method, for the first... Non-native plant score Seasonally corrected diffusion coefficient Dimensionless processing is performed to map all parameters to a uniform order of magnitude; Specifically, dimensionless processing ensures the comparability of parameters with different attributes and units, thereby guaranteeing the scientific validity and rationality of the weight calculation results. The standardized dimensionless processing procedure is as follows: First, historical parameters from multiple time points within a fixed duration are collected to construct a complete raw data sequence. Then, the raw data values ​​are converted to dimensionless values ​​using the calculation method: "(raw data value at any time point - minimum historical parameter value) ÷ (maximum historical parameter value - minimum historical parameter value)". After this processing, all indicators are within a certain range. The interval ensures that all indicators are on the same order of magnitude, laying the foundation for subsequent weighted calculations; S28. Calculate the weighted average. The reproductive index of plants in the current season under the local climate type. Its expression is as follows: If the first The plant species are algae. In the formula, Let be the weight, and satisfy... , , Indicates the first The reproduction index of algae in the current season under different climate types; If the first The plant group is bryophytes. In the formula, Let be the weight, and satisfy... , , Indicates the first The reproductive index of bryophytes in the current season under different climate types; If the first The plant group is ferns. In the formula, Let be the weight, and satisfy... , , Indicates the first The reproductive index of ferns in the current season under different climate types; If the first The plant species belong to the gymnosperm group. In the formula, Let be the weight, and satisfy... , , Indicates the first Reproduction index of gymnosperms in the current season under different climate types; If the first The plant species belong to the angiosperm group. In the formula, Let be the weight, and satisfy... , , Indicates the first The reproductive index of angiosperms in the current season under different climate types; The following are the experimental data on the reproductive index, as shown in Table 2: Table 2: Experimental Data on the Reproductive Index In Table 2, the experimental data of the reproductive index were selected as the experimental target, with the native area set as Guangzhou City, Guangdong Province, and the current season as summer (June-August). Non-native rating Standardization: The historical minimum score is 0, the historical maximum score is 10, and the final dimensionless value is 0.6; Seasonally corrected diffusion coefficient Standardization: The historical minimum value is 0, the historical maximum value is 12000, and the final dimensionless value is 0.2808; The weights are set as follows: , Considering that the core driving force behind the outbreak of invasive species lies in their reproductive and dispersal rates that surpass those of native species, the diffusion coefficient is given a higher weight.

[0020] The intelligent control module is set with a fixed range of reproduction thresholds. Used to quickly determine the difficulty level of plant reproduction and dispersal, and the reproduction threshold range. The calibration method is as follows: Plant samples with different reproductive and dispersal abilities were screened using a plant ecological monitoring database, covering various categories such as weak, moderate, and strong reproductive and dispersal abilities. The reproductive index of the sample plants was then extracted. Based on local climate type, seasonal adaptability, propagation and dispersal monitoring records, and control and treatment effectiveness data, different candidate threshold ranges were set. In each set of calibration experiments, the sample plants were classified into controllability levels according to the candidate threshold range, and the matching degree between the classification results and the actual propagation and dispersal survey conclusions was recorded. Then, combined with regional plant dynamic monitoring data, the changing trend of the sample plants' controllability level under different propagation indices was simulated, and the upper and lower limits of the candidate threshold ranges were adjusted. Multiple sets of verification experiments were conducted to record the impact of the threshold range settings on the assessment of plant controllability levels and subsequent control and treatment work. For each candidate threshold range, The collected sample monitoring data and dynamic simulation results were used as inputs. The number of times plants with weak reproductive and dispersal capabilities were misclassified as plants with strong reproductive and dispersal capabilities due to improper interval range settings (counted as over-assessment), the number of times plants with strong reproductive and dispersal capabilities were misclassified as plants with weak reproductive and dispersal capabilities (counted as under-assessment), and the degree of consistency between the difficulty-to-control level classification results and the effectiveness of subsequent control measures (such as monitoring frequency suitability, barrier removal effect, incineration efficiency, and diffusion control effectiveness) were calculated. Finally, the interval range that minimizes both the over-assessment and under-assessment rates and has the highest consistency with the effectiveness of subsequent control measures was selected as the reproductive threshold interval. The preferred range; Table 2 shows the reproductive threshold range in the experimental data of the reproductive index. The preferred range was set to 0.3-0.7. It was determined that 0.3 < the reproductive index of *Wedelia tricuspidata* in the current season under the local climate type of Guangzhou City, Guangdong Province. <0.7 indicates that the reproductive and dispersal capacity of Wedelia candel is moderate, and the difficulty level is 2. Response measures include increasing the monitoring frequency of the existing species distribution range, expanding the investigation scope of surrounding areas, and simultaneously strengthening the physical barriers and manual removal operations of Wedelia candel. The hazard assessment module analyzes the impact of each plant species on the native ecosystem based on local and plant datasets, generating corresponding invasion indices. ; Intrusion Index The calculation process is as follows: S31. Based on the local dataset and plant dataset, extract local ecological and geographical data and the first... Plant growth management data, known number of days Non-native plant score Plants scoring ≥2 points have been screened and included in the key monitoring list. For all plants included in the key monitoring list after screening, the invasion index will be calculated by default. This is used to quantify the real-time damage level of a corresponding plant in a specific local habitat. S32, Calculate the first Light encroachment coefficient of plant species on native ecosystems Its expression is as follows: In the formula, Indicates the first Average plant cover This represents the average canopy cover of all native plant species. Indicates the first Mean leaf area of ​​the plant. This represents the average leaf area of ​​all native plant species. Indicates the first Mean canopy height of plants This represents the average canopy height of all native plant species. S33, Calculate the first Soil nutrient encroachment coefficient of plant species on native ecosystems Its expression is as follows: In the formula, Indicates the first The total length of all roots of the plant in the soil sample. Indicates the volume of the soil sample. Indicates the number of units of soil per unit volume. Root length density of plants; In the formula, This represents the average root length density per unit volume of soil for all native plant species. Indicates the first The maximum root depth of a plant This represents the average maximum root depth of all native plant species. S34, Calculate the first Water encroachment coefficient of plant species on native ecosystems Its expression is as follows: In the formula, Indicates the first The average daily transpiration rate of plants This represents the average daily transpiration rate of all native plant species. Indicates the first The rate of decrease in soil moisture content in the planted area relative to the non-invasive native control area. This represents the standard value for the rate of decrease in soil moisture content; S35, Calculate the first Pollination encroachment coefficient of plant species on native ecosystems Its expression is as follows: In the formula, Indicates the first The rate of decrease in pollen settling rate of native plants in the planted area relative to the non-invasive control area. This represents the standard value for the rate of decline in pollen settling rate; S36, Calculate the first Allelopathic inhibition coefficient of plant species on native ecosystem Its expression is as follows: In the formula, Indicates the first The rate of decline in native plant biomass relative to the non-invasive control area under allelopathy in the planted area. This represents the standard value for the rate of biomass decline; S37. Calculate the first using a weighted method. Invasiveness index of plant species on native ecosystems Its expression is as follows: In the formula, Let be the weight, and satisfy... ; The following is the experimental data for the intrusion index, as shown in Table 3: Table 3: Experimental Data for the Intrusion Index In Table 3, the experimental data of the invasion index were selected as the experimental target, and the native region was set as Guangzhou City, Guangdong Province. The weights are set as follows: , , , , ; The intelligent control module is set with a fixed range of intrusion thresholds. This is used to quickly determine the level of plant invasion of the native ecosystem, and the invasion threshold range. The calibration method is as follows: Plant samples with different levels of invasion damage were screened using an ecological invasion monitoring database, covering categories such as low, moderate, and high invasion damage. Invasion indices were then extracted from the sample plants. Based on local ecological impact monitoring data, invasion and spread records, and control and restoration effectiveness data, different candidate threshold ranges were set. In each set of calibration experiments, the invasion level of sample plants was classified according to the candidate threshold range, and the matching degree between the classification results and the actual invasion hazard survey conclusions was recorded. Then, combined with regional ecological dynamic monitoring data, the changing trend of sample plant invasion levels under different invasion indices was simulated, and the upper and lower limits of the candidate threshold range were adjusted. Multiple sets of verification experiments were carried out to record the impact of threshold range settings on plant invasion level assessment and subsequent control and restoration work. For each candidate threshold range, the collected sample monitoring data and dynamic simulation results were used as inputs to count the number of times low-invasive plants were misclassified as high-invasive plants due to improper range settings (counted as over-assessment), the number of times high-invasive plants were misclassified as low-invasive plants (counted as under-assessment), and the degree of fit between the invasion level classification results and subsequent control and restoration effectiveness (such as monitoring and control effects, removal and inhibition efficiency, ecological restoration quality, and spread blocking effectiveness). Finally, the range that minimizes both over-assessment and under-assessment rates and has the highest degree of fit with subsequent control and restoration effectiveness was selected as the invasion threshold range. The preferred range; Table 3 shows the intrusion threshold range in the experimental data of the intrusion index. The preferred range was set to 0.3-0.7. Based on this, it was determined that the invasion index of *Wedelia tricuspidata* on the native ecosystem is [value missing]. > This indicates that the invasion of Wedelia candel is highly damaging, with an invasion level of 3. Response measures include real-time monitoring of the distribution range and growth status of Wedelia candel, using targeted agents to inhibit seedling growth and remove adult plants, simultaneously carrying out ecological restoration and replanting of native species, and investigating whether there are any new invasion and spread points. The intelligent control module is set with a fixed range of reproduction thresholds. and intrusion threshold range Combined with non-local ratings Reproduction Index and Intrusion Index The system filters out the corresponding key monitoring list, determines the difficulty level and invasion level of each plant, and outputs the corresponding judgment results and response measures. The intelligent control module will assign a non-locality score of 2 points or less. Plant species scoring ≤10 points will be included in the key monitoring list. The introduction and spread of these species in the wild, open green spaces, and ecological restoration areas are strictly prohibited. (Non-native scoring) Plant species with a score of <2 will not be included in the key monitoring list, and the corresponding species are allowed to be introduced and spread in the wild, open green spaces and ecological restoration areas; The difficulty-to-control level assessment process is as follows: Let the upper limit of the reproduction threshold range be denoted as The lower limit of the reproduction threshold interval is denoted as ; If the first The reproductive index of plants in the current season under the local climate type. < , indicating the first The plant's reproductive and dispersal capabilities are weak, classifying it as Level 1 difficult to control. Response measures include maintaining the monitoring frequency of the existing species distribution range and regularly removing any sporadic sprouts. ≤th The reproductive index of plants in the current season under the local climate type. ≤ , indicating the first The plant's reproductive and dispersal capabilities are moderate, with a difficulty level of 2. Response measures include increasing the frequency of monitoring the existing species' distribution range, expanding the scope of investigation in surrounding areas, and simultaneously strengthening [further measures]. Physical barriers to planting and manual removal, if the first The reproductive index of plants in the current season under the local climate type. > , indicating the first The plant species has a strong ability to reproduce and spread, and its control difficulty level is 3. Response measures include organizing plant control professionals to conduct on-site inspections, developing a burning disposal plan, strictly controlling the ignition time and wind speed conditions, monitoring the entire burning operation process in real time, and continuously tracking and monitoring the situation. Dynamics of plant propagation and dispersal, and updates to treatment plans; The intrusion level assessment process is as follows: Let the upper limit of the intrusion threshold range be denoted as The lower limit of the intrusion threshold range is denoted as ; If the first Invasiveness index of plant species on native ecosystems < , indicating the first The invasive species poses a low level of threat, classified as Level 1. Response measures include continuous monitoring. The distribution and growth status of plants should be monitored, and any sporadic sprouts should be removed regularly. ≤th Invasiveness index of plant species on native ecosystems ≤ , indicating the first The plant invasion is of moderate severity, classified as invasion level 2. Response measures include real-time monitoring. The distribution range and growth status of the plants were monitored, and physical removal was used simultaneously to suppress their spread. Invasiveness index of plant species on native ecosystems > , indicating the first The invasive plant species poses a high degree of threat, classified as invasion level 3. Response measures include real-time monitoring. The distribution range and growth status of plants were investigated, and targeted pesticides were used to inhibit seedling growth and remove mature plants. Ecological restoration and replanting of native species were carried out simultaneously to investigate whether there were any new invasive and spread points. A rapid assessment method for plant invasion levels includes the following steps: Step 1: By connecting to a big data platform, obtain local ecological and geographical data and plant growth management data, and classify them into local datasets and plant datasets; Step 2: Evaluate the non-native score for each plant based on the native dataset and the plant dataset. Select the corresponding key monitoring list; Step 3: Analyze the growth status of each plant species based on hemisphere affiliation, climate type, and seasonal influencing factors, and generate the corresponding reproduction index. It is applicable to all plants within the native region and can score non-native species. A score of 0 or 1 indicates the occurrence of outbreaks and growth of non-invasive native species not included in the key monitoring list, enabling precise regulation of regional ecological balance; Step 4: Based on the local dataset and plant dataset, analyze the impact of each plant on the local ecosystem and generate the corresponding invasion index. This applies to every plant in the key monitoring list; Step 5: Set a fixed range for the breeding threshold. and intrusion threshold range Combined with non-local ratings Reproduction Index and Intrusion Index Determine the difficulty level and invasion level of each plant species, and output the corresponding judgment results and response measures.

[0021] In this embodiment, the multidimensional acquisition module collects comprehensive data on local ecology, geography, and plant growth, laying a solid and accurate data foundation for the entire process assessment. The species analysis module assesses the non-native score of each plant species. By combining hemisphere affiliation, climate type, and seasonal phenology matching rules, the reproductive capacity of plant groups was quantitatively calculated, and corresponding reproductive indices were generated. This technology addresses the problems of vague qualitative judgments, poor phenological adaptability, and insufficient taxonomic differentiation in traditional methods. It can screen for species with high invasion potential in advance. The hazard assessment module constructs an ecological invasion quantification algorithm from five dimensions: light, soil nutrients, water, pollination, and allelopathic inhibition. This comprehensively characterizes the integrated harm of plants to the native ecosystem and generates corresponding invasion indices. The multi-dimensional assessment is highly accurate. The intelligent management and control module is equipped with a dual-threshold grading system. It combines core indicators to complete the dual-dimensional assessment of difficulty in control and intrusion level, and outputs graded response and disposal measures. It realizes closed-loop management of the entire chain from risk screening to implementation and control, which greatly improves the accuracy and efficiency of intrusion prevention and control, effectively reduces the risk of damage to the local ecosystem, and has excellent intelligent management and control effect.

[0022] The threshold is set to facilitate comparison. The size of the threshold depends on the amount of sample data and the number of bases set by those skilled in the art for each set of sample data; as long as it does not affect the ratio between the parameter and the quantized value, it is acceptable.

[0023] The above formulas are all derived from software simulation using a large amount of data and are selected to be close to the actual values. The coefficients in the formulas are set by those skilled in the art according to the actual situation. The above description is only a preferred embodiment of the present invention, but the protection scope of the present invention is not limited thereto. Any equivalent substitutions or changes made by those skilled in the art within the technical scope disclosed in the present invention, based on the technical solution and inventive concept of the present invention, should be covered within the protection scope of the present invention.

Claims

1. A rapid assessment system for plant invasion levels, characterized in that: It includes a multi-dimensional data acquisition module, a species analysis module, a hazard assessment module, and an intelligent management and control module; The multidimensional acquisition module connects to a big data platform to acquire local ecological and geographical data and plant growth management data, and classifies them into local datasets and plant datasets. The species analysis module evaluates the non-native score of each plant species based on the native dataset and the plant dataset. Furthermore, by combining hemispheric affiliation type, climate type, and seasonal influencing factors, the growth status of each plant was analyzed, and a corresponding reproduction index was generated. ; The hazard assessment module analyzes the impact of each plant species on the local ecosystem based on local and plant datasets, generating corresponding invasion indices. ; The intelligent control module is set with a fixed range of reproduction thresholds. and intrusion threshold range Combined with non-local ratings Reproduction Index and Intrusion Index The system selects the corresponding key monitoring list, determines the difficulty level and invasion level of each plant, and outputs the corresponding judgment results and response measures.

2. The rapid assessment system for plant invasion levels according to claim 1, characterized in that: The local dataset includes a local list of invasive alien species, local flora, hemispheric classification, climate type, altitude, average canopy cover of all plant species, average leaf area of ​​all plant species, average canopy height of all plant species, soil sample volume, average root length density per unit soil volume of all plant species, average maximum root depth of all plant species, and average daily transpiration rate of all plant species. The hemispheric classification includes the Northern Hemisphere and the Southern Hemisphere, and the climate type includes tropical climate, arid climate, temperate continental climate, polar climate, and highland mountain climate.

3. The rapid assessment system for plant invasion levels according to claim 2, characterized in that: The plant dataset includes the taxa, origin, natural distribution area, habitat, natural enemies, obligate parasites, sporangium spore production per plant, spore release efficiency, daily cell division rate, bud production, bud survival rate, canopy expansion rate, number of dorsal sori per leaf, number of leaves per plant, number of cones per plant, number of seeds per cone, effective seed reproduction rate, seedling establishment rate, number of asexual reproductions per plant, survival rate of asexual reproductions per plant, average canopy coverage, average leaf area, average canopy height, total root length, maximum root depth, average daily transpiration rate, soil moisture content reduction rate in the planted area relative to the non-invasive native control area, pollen settling rate of native plants in the planted area relative to the non-invasive control area, and biomass reduction rate of native plants in the planted area under allelopathy relative to the non-invasive control area. The taxa include algae, bryophytes, ferns, gymnosperms, and angiosperms.

4. The rapid assessment system for plant invasion levels according to claim 3, characterized in that: The non-local rating The evaluation process is as follows: S11. Based on the local dataset and plant dataset, extract local ecological and geographical data and the first... Plant growth management data; S12, No. Non-native plant score The evaluation process is as follows: The first Non-native plant score The initial value is set to 0 points, the maximum score is 10 points, and the minimum score is 0 points. If the first If a plant species is listed in the local invasive alien species list, its non-native status will be assessed. The score is directly assigned as 10 points, and subsequent scoring is terminated. In local floras, the first If the plant's origin is outside the local area, then the non-native score will be applied. Add 3 points; In local floras, the first Plants whose place of origin is within the territory, but are not native species, will be scored as non-native. Add 2 points; In local floras, the first If the natural distribution area of ​​a plant does not include the native range, then the non-native score will be given. Add 1 point; If the first If the habitat of the plant is along the roadside, on the ridges of the field, in wasteland, next to a building, or in an abandoned site, then the non-native score will be given. Add 1 point; If the first If a plant has no natural enemies or obligate parasites in its native habitat, then its non-native status will be rated. Add 1 point; The priority order is: list determination > origin determination > distribution area determination > habitat determination > auxiliary feature determination. Once a high-priority list determination is triggered, the full score is locked directly, and all low-priority determinations are ineffective. When the list determination is not triggered, the origin, distribution area, habitat, and auxiliary feature determination items can be scored cumulatively, with a cumulative score not exceeding 10 points. The results of high-priority determinations are not overwritten by low-priority conclusions, and low-priority determinations are only effective when high-priority determinations are not triggered.

5. The rapid assessment system for plant invasion levels according to claim 4, characterized in that: The reproductive index The calculation process is as follows: S21. Based on the local dataset and plant dataset, extract local ecological and geographical data and the first... Plant growth management data; S22. Seasonal time windows are divided according to hemisphere affiliation type, and the rules are as follows: If the local area belongs to the Northern Hemisphere, the seasonal time windows are divided as follows: spring (March-May), summer (June-August), autumn (September-November), and winter (December-February of the following year); If the local area belongs to the Southern Hemisphere, the seasonal time windows are divided as follows: Spring (September-November), Summer (December-February of the following year), Autumn (March-May), and Winter (June-August); S23 applies to species-level phenological matching rules for both the Northern and Southern Hemispheres, with only the seasonal time windows adjusted according to S22. The species-level phenological matching rules based on hemisphere affiliation are as follows: If the local climate is tropical, in spring, algae, mosses, ferns, and gymnosperms are in their declining growth season, while angiosperms are in their vigorous growth season; in summer, all groups are in their vigorous growth season; in autumn, algae, mosses, and angiosperms are in their declining growth season, while ferns and gymnosperms are in their vigorous growth season; in winter, all groups are in their declining growth season. If the local climate type is arid, all taxa are in the growth decline season in spring; all taxa are in the growth peak season in summer; and all taxa are in the growth decline season from autumn to winter. If the local climate type is subtropical, in spring, algae and ferns are in the growth decline season, while mosses, gymnosperms, and angiosperms are in the vigorous growth season; in summer, algae, ferns, gymnosperms, and angiosperms are in the vigorous growth season, while mosses are in the dormant season; from autumn to winter, all groups are in the growth decline season. If the local climate type is temperate continental, in spring, algae and ferns are in the growth and decline season, while mosses, gymnosperms, and angiosperms are in the growth and flourishing season; in summer, algae, ferns, gymnosperms, and angiosperms are in the growth and flourishing season, while mosses are in the growth and decline season; from autumn to winter, all groups are in the growth and decline season. If the local climate type is a cold climate, all groups are in their peak growing season only in summer, and in their declining growing season in the rest of the year; in winter, all groups are in their dormant season. If the local climate type is plateau mountain climate, the matching rules are applied according to the altitude gradient: if the altitude is <2000m, the phenological rules corresponding to the local measured climate are applied; if the altitude is between 2000 and 3500m, the temperate continental climate rules are applied; and if the altitude is >3500m, the rules corresponding to the frigid climate are applied. S24, Calculate the first The current single-season elasticity coefficient of plant species under local climate type ; S25, Calculate the first Diffusion coefficient of plant ; S26. After calculating the seasonal correction, the... Diffusion coefficient of plant ; S27. Using the extreme value standardization method, for the first... Non-native plant score Seasonally corrected diffusion coefficient Dimensionless processing is performed to map all parameters to a uniform order of magnitude; S28. Calculate the weighted average. The reproductive index of plants in the current season under the local climate type. .

6. The rapid assessment system for plant invasion levels according to claim 5, characterized in that: The intrusion index The calculation process is as follows: S31. Based on the local dataset and plant dataset, extract local ecological and geographical data and the first... Plant growth management data, known number of days Non-native plant score ≥2 points, already screened and recorded in the key monitoring list; S32, Calculate the first Light encroachment coefficient of plant species on native ecosystems ; S33, Calculate the first Soil nutrient encroachment coefficient of plant species on native ecosystems ; S34, Calculate the first Water encroachment coefficient of plant species on native ecosystems ; S35, Calculate the first Pollination encroachment coefficient of plant species on native ecosystems ; S36, Calculate the first Allelopathic inhibition coefficient of plant species on native ecosystem ; S37. Calculate the first using a weighted method. Invasiveness index of plant species on native ecosystems .

7. The rapid assessment system for plant invasion levels according to claim 6, characterized in that: The intelligent control module will assign a non-local score of 2 points or less. Plant species scoring ≤10 points will be included in the key monitoring list. The introduction and spread of these species in the wild, open green spaces, and ecological restoration areas are strictly prohibited. (Non-native scoring) Plant species scoring <2 points will not be included in the key monitoring list, and the corresponding species will be allowed to be introduced and spread in the wild, open green spaces, and ecological restoration areas.

8. The rapid assessment system for plant invasion levels according to claim 7, characterized in that: The difficulty-to-control level assessment process is as follows: Let the upper limit of the reproduction threshold range be denoted as The lower limit of the reproduction threshold interval is denoted as ; If the first The reproductive index of plants in the current season under the local climate type. < , indicating the first The plant's reproductive and dispersal capabilities are weak, classifying it as Level 1 difficult to control. Response measures include maintaining the monitoring frequency of the existing species distribution range and regularly removing any sporadic sprouts. ≤th The reproductive index of plants in the current season under the local climate type. ≤ , indicating the first The plant's reproductive and dispersal capabilities are moderate, with a difficulty level of 2. Response measures include increasing the frequency of monitoring the existing species' distribution range, expanding the scope of investigation in surrounding areas, and simultaneously strengthening [further measures]. Physical barriers to planting and manual removal, if the first The reproductive index of plants in the current season under the local climate type. > , indicating the first The plant species has a strong ability to reproduce and spread, and its control difficulty level is 3. Response measures include organizing plant control professionals to conduct on-site inspections, developing a burning disposal plan, strictly controlling the ignition time and wind speed conditions, monitoring the entire burning operation process in real time, and continuously tracking and monitoring the situation. Monitor the propagation and spread dynamics of plants and update treatment plans.

9. A rapid assessment system for plant invasion levels according to claim 8, characterized in that: The intrusion level assessment process is as follows: Let the upper limit of the intrusion threshold range be denoted as The lower limit of the intrusion threshold range is denoted as ; If the first Invasiveness index of plant species on native ecosystems < , indicating the first The invasive species poses a low level of threat, classified as Level 1. Response measures include continuous monitoring. The distribution and growth status of plants should be monitored, and any sporadic sprouts should be removed regularly. ≤th Invasiveness index of plant species on native ecosystems ≤ , indicating the first The plant invasion is of moderate severity, classified as invasion level 2. Response measures include real-time monitoring. The distribution range and growth status of the plants were monitored, and physical removal was used simultaneously to suppress their spread. Invasiveness index of plant species on native ecosystems > , indicating the first The invasive plant species poses a high degree of threat, classified as invasion level 3. Response measures include real-time monitoring. The distribution range and growth status of plants were investigated, and targeted pesticides were used to inhibit seedling growth and remove mature plants. Ecological restoration and replanting of native species were carried out simultaneously to investigate whether there were any new invasive spread points.

10. A method for rapid assessment of plant invasion levels, applied to a rapid assessment system for plant invasion levels as described in any one of claims 1-9, characterized in that: Includes the following steps: Step 1: By connecting to a big data platform, obtain local ecological and geographical data and plant growth management data, and classify them into local datasets and plant datasets; Step 2: Evaluate the non-native score for each plant based on the native dataset and the plant dataset. Select the corresponding key monitoring list; Step 3: Analyze the growth status of each plant species based on hemisphere affiliation, climate type, and seasonal influencing factors, and generate the corresponding reproduction index. ; Step 4: Based on the local dataset and plant dataset, analyze the impact of each plant on the local ecosystem and generate the corresponding invasion index. ; Step 5: Set a fixed range for the breeding threshold. and intrusion threshold range Combined with non-local ratings Reproduction Index and Intrusion Index Determine the difficulty level and invasion level of each plant species, and output the corresponding judgment results and response measures.

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