A vegetation community configuration management system for arid valley ecological restoration

Abstract

The application relates to the technical field of ecological protection, and discloses a vegetation community configuration management system for ecological restoration of a dry valley, which comprises a multidimensional acquisition module, a community analysis module, an ecological evaluation module, a treatment analysis module and a configuration management module. The system fuses data through the multidimensional acquisition module, the community analysis module quantifies the growth tendency of the vegetation community in terms of functional composition, vertical structure and stand type through growth indicators, the ecological evaluation module comprehensively reflects the supporting capacity of topography and soil factors on the vegetation habitat through site index, the multidimensional evaluation has high precision, the treatment analysis module evaluates the comprehensive effect of a treatment scheme in terms of water source regulation, soil improvement, vegetation restoration and erosion control through efficiency index, the configuration management module judges the intervention level of the ecological environment in the dry valley region, the improvement level of site conditions, and the adaptation level of the treatment scheme, outputs corresponding judgment results and response measures, and has good intelligent management and protection effect.

Description

Technical Field

[0001] This invention relates to the field of ecological protection technology, specifically a vegetation community configuration and management system for ecological restoration of arid river valleys. Background Technology

[0002] Arid valleys are a special type of river valley ecosystem characterized by high temperature and low humidity, intense evaporation, xerophytic vegetation, and fragile ecology. Dominated by a hot and dry climate, they are characterized by deep canyon topography, infertile soil, inverted vertical zonation, frequent natural disasters, and weak ecosystem resilience. These valleys are mainly distributed along deep rivers such as the Jinsha River, Lancang River, Nu River, Yuan River, Yalong River, Dadu River, Min River, and Bailong River, appearing as north-south oriented, isolated islands, or strips embedded in surrounding humid mountains. Based on differences in climatic characteristics, arid valleys can be divided into three subtypes: hot and dry valleys, warm and dry valleys, and warm and dry valleys. The arid-hot valleys are characterized by consistently high temperatures and low humidity, with annual precipitation less than 800 mm and evaporation far exceeding rainfall. Representative vegetation consists of sparse shrubs and drought-resistant herbs. The arid-warm and arid-temperate valleys have lower thermal conditions but slightly more rainfall, exhibiting warm-semi-arid and mild-semi-humid climates, respectively. Representative vegetation includes shrubs, drought-resistant trees, deciduous broad-leaved shrubs, and mixed coniferous and broad-leaved forests. The arid valley ecosystems are extremely fragile, with low vegetation cover and significant xerophytic characteristics, making them highly difficult to restore once damaged. Scientific management of vegetation communities can effectively curb soil erosion and desertification, improve soil structure, enhance water and fertilizer retention capacity, and break the vicious cycle of drought-vegetation degradation-ecological deterioration. Furthermore, it can regulate local microclimates, alleviate the arid-hot effect, provide suitable habitats for flora and fauna, and enhance regional biodiversity.

[0003] Currently, traditional vegetation community configuration management systems used in arid valleys typically focus on mainstream technologies such as tree-shrub-grass combinations, drought-resistant tree species selection, and water collection and conservation. This often leads to problems such as mismatch between vegetation species and site conditions, and incoordination between community configuration and hydrological conditions. When quantifying the integrity of community structure, the shrub-grass structure layer is often marginalized, natural succession is suppressed, and there are shortcomings such as insufficient ecological management capacity and delayed response decisions. Summary of the Invention

[0004] To address the shortcomings of existing technologies, this invention provides a vegetation community configuration management system for ecological restoration in arid river valleys. It has advantages such as high accuracy in multi-dimensional assessment and excellent intelligent management effect, and solves the problems of mismatch between vegetation species and site conditions and incoordination between community configuration and hydrological conditions in traditional vegetation community configuration management systems used in arid river valleys.

[0005] To achieve the above objectives, the present invention provides the following technical solution: a vegetation community configuration management system for ecological restoration of arid river valleys, comprising a multi-dimensional data acquisition module, a community analysis module, an ecological assessment module, a governance analysis module, and a configuration management module; The multidimensional acquisition module acquires ecological environment data, vegetation community configuration data, and management data of governance schemes for arid valleys by connecting to databases and point sensors, and classifies them into valley datasets, vegetation datasets, and governance datasets. The community analysis module assesses the growth status of the current vegetation community configuration based on the valley dataset and vegetation dataset, and generates corresponding growth indices. ; The ecological assessment module evaluates the site conditions for ecological restoration in arid river valleys based on valley and vegetation datasets, and generates corresponding site indices. ; The governance analysis module evaluates the ecological restoration effectiveness of the current governance plan based on the governance dataset and generates a corresponding effectiveness index. ; The configuration management module is set with a fixed range of growth thresholds. , site threshold range and performance threshold range Combined with the growth index Site Index and efficiency index It determines the intervention level of the ecological environment, the improvement level of site conditions, and the suitability level of the governance plan in the arid river valley area, and outputs the corresponding judgment results and response measures.

[0006] Preferably, the valley dataset includes annual effective precipitation, annual potential evapotranspiration, number of extreme high-temperature days, number of extreme low-temperature days, total number of days in a dry valley, total wind speed of sandstorm days in a year, number of sandstorm days in a year, total number of monitoring points, altitude, slope aspect azimuth, relative elevation of slope, soil moisture content, groundwater depth, soil thickness, soil organic matter content, soil bulk density, soil pH value, and soil gravel content. The climate subtypes include hot-dry valleys, warm-dry valleys, and warm-dry valleys.

[0007] Preferably, the vegetation dataset includes vegetation function type, number of plant species, vegetation growth structure layer, growth coverage, vegetation stand type and number of surviving plants. The vegetation function type includes water-conserving, slope-stabilizing and soil-improving types. The vegetation growth structure layer includes tree layer, shrub layer and herb layer. The vegetation stand type includes coniferous trees and broad-leaved trees.

[0008] Preferably, the governance dataset includes the water conservancy project runoff interception volume of the arid valley governance plan, the original runoff volume of the arid valley, the soil moisture content before and after implementation, the soil organic matter content before and after implementation, the target total vegetation coverage, the actual total vegetation coverage, the number of trees to be planted in the afforestation plan, the number of surviving trees, and the slope erosion area before and after implementation.

[0009] Preferably, the growth index The calculation process is as follows: S11. Based on the valley dataset and vegetation dataset, extract the ecological environment data and vegetation community configuration data in the arid valley area. S12. Calculate the proportion of plant species of each functional type in the current vegetation community. ; S13. Calculate the coverage ratio of each growth structure layer in the current vegetation community. ; S14. Calculate the percentage of surviving trees of each forest stand type in the current vegetation community. ; S15. Calculate the precipitation-evapotranspiration ratio of the current arid valley. ; S16. Calculate the percentage of days with extreme temperatures per year in the current arid river valley. ; S17. Calculate the percentage of days with sandstorms per year in the current arid river valley. ; S18. Based on S11-S17, calculate the growth index of the current vegetation community in the arid valley using a weighted method. .

[0010] Preferably, the site index The calculation process is as follows: S21. Based on the valley dataset and vegetation dataset, extract ecological environment data and vegetation community configuration data within the arid valley area, and record the total number of monitoring points within the arid valley area as follows: ; S22. Calculate the standardized elevation of each monitoring point. Standardized slope azimuth angle Relative elevation of standardized slope ; S23. Calculate the standardized soil moisture content at each monitoring point. Standardized groundwater depth Standardized soil thickness Standardized soil organic matter content Standardized soil bulk density Standardized soil pH value and standardized soil gravel content ; S24. Calculate the standardized mean elevation within the arid valley region. Standardized slope aspect azimuth mean Standardized slope relative elevation mean Standardized average soil moisture content Standardized groundwater depth average Standardized average soil thickness Standardized average soil organic matter content Standardized average soil bulk density Standardized soil pH value (mean) and the average content of gravel in standardized soil ; S25. The criteria for determining the optimal site area in arid river valleys include the following conditions: (1) Standardized altitude Between the standardized average altitude between; (2) Standardized slope azimuth ≥ Standardized slope aspect azimuth mean ; (3) Standardized slope relative elevation ≤Standardized slope relative elevation mean ; (4) Standardized soil moisture content ≥ Standardized mean soil moisture content ; (5) Standardized groundwater depth ≤Standardized groundwater depth mean ; (6) Standardized soil thickness ≥ Standardized soil thickness mean ; (7) Standardized soil organic matter content ≥ Standardized average soil organic matter content ; (8) Standardized soil bulk density ≤ Standardized average soil bulk density ; (9) Standardized soil pH value Between the average pH value of standardized soil between; (10) Standardized soil gravel content ≤ Standardized average soil gravel content ; The monitoring points that meet all the above conditions are selected, and the area enclosed by the closed line connecting the monitoring points that meet all the above conditions is the optimal site area of ​​the arid valley. S26. Based on S21-S25, calculate the site index within the arid valley region using a weighted method. .

[0011] Preferably, the efficiency index The calculation process is as follows: S31. Based on the governance dataset, extract the management data of the current governance plan for arid river valleys; S32. Calculate the engineering runoff interception efficiency of the current treatment plan. ; S33. Calculate the soil water retention improvement rate of the current treatment plan. ; S34. Calculate the soil fertility improvement rate of the current treatment plan. ; S35. Calculate the vegetation coverage compliance rate of the current governance plan. ; S36. Calculate the vegetation survival rate of the current treatment plan. ; S37. Calculate the slope erosion area reduction rate of the current treatment plan. ; S38. Based on S31-S37, calculate the effectiveness index of the current governance plan for arid river valleys using a weighted method. .

[0012] Preferably, the intervention level assessment process is as follows: Let the upper limit of the growth threshold range be denoted as The lower limit of the growth threshold range is denoted as ; If growth index > This indicates that the ecological degradation level in the arid valley area is low, with an intervention level of 1. Response measures include maintaining the monitoring frequency of existing vegetation growth; no additional artificial intervention is required to maintain the natural growth environment. ≤ Growth Index ≤ This indicates a moderate degree of ecological degradation in the arid valley region, with an intervention level of 2. Response measures include maintaining the monitoring frequency of existing vegetation growth, applying plant growth regulators and laying water-retaining materials, and improving the natural growing environment. If the growth index... < This indicates that the ecological environment in the arid valley area is highly degraded, with an intervention level of 3. Response measures include increasing the frequency of monitoring the growth status of existing vegetation, increasing the application of plant growth regulators, increasing the scale of water-retaining material laying, optimizing the planting of different functional types of vegetation, and reconstructing the natural growth environment.

[0013] Preferably, the improvement level evaluation process is as follows: The upper limit of the site threshold range is denoted as... The lower limit of the site threshold interval is denoted as ; If the ground index > This indicates that the site conditions for ecological improvement within the arid valley region are excellent, with an improvement level of 1. Response measures include maintaining the existing monitoring frequency of soil and water conditions; no additional site improvement measures are required; the original soil and water base condition can be maintained; and vegetation community configuration optimization work can be directly carried out within the optimal site area of ​​the arid valley. ≤ Site Index ≤ This indicates that the site conditions for the ecological environment in the arid valley area are moderate, with an improvement level of 2. Response measures include maintaining the current monitoring frequency of soil and water conditions, carrying out light topographic improvement operations, prioritizing the improvement of the soil and water base at the slope toe, and after the improvement is completed, vegetation community configuration optimization work can be carried out in the optimal site area of ​​the arid valley. If the site index... < This indicates that the site conditions of the ecological environment in the arid river valley area are harsh, and the improvement level is 3. The response measures include increasing the monitoring frequency of existing soil and water conditions, carrying out severe topographic improvement projects, reconstructing a soil and water base suitable for vegetation growth, and after the improvement is completed, vegetation community configuration optimization work can be carried out in the optimal site area of ​​the arid river valley.

[0014] Preferably, the adaptation level evaluation process is as follows: Let the upper limit of the performance threshold range be denoted as The lower limit of the performance threshold range is denoted as ; If efficiency index > This indicates that the current governance plan has achieved good ecological restoration results, with an adaptation level of 1. Response measures include continuing the implementation of the existing governance plan, maintaining the monitoring frequency of existing vegetation growth, soil and water conditions, and ecological restoration effects. ≤Efficiency Index ≤ This indicates that the current governance plan has a mediocre ecological restoration effect, with an adaptation level of 2. Response measures include suspending the implementation of the existing governance plan, optimizing and adjusting vegetation functional types and growth structure layers, and improving the effectiveness index. < This indicates that the current governance plan has poor ecological restoration effects, with an adaptation level of 3. Response measures include suspending the implementation process of the existing governance plan, comprehensively adjusting the vegetation function type, vegetation growth structure layer and vegetation stand type, re-planning the governance plan in combination with regional site conditions, and real-time monitoring of the adjusted vegetation growth status, soil and water conditions and ecological restoration effects.

[0015] Compared with existing technologies, this invention provides a vegetation community configuration and management system for ecological restoration in arid river valleys, which has the following beneficial effects: 1. This invention integrates ecological environment, vegetation community, and management plan data through a multi-dimensional acquisition module, classifying and forming a dataset to provide a unified and reliable data foundation for subsequent assessments. The community analysis module constructs growth indices... This quantitatively assesses the current growth status of vegetation communities in terms of functional composition, vertical structure, and stand type, enabling precise diagnosis of community health and stability. The ecological assessment module utilizes site indices... It comprehensively reflects the supporting capacity of topography and soil factors for vegetation habitat, identifies the advantages and disadvantages of site conditions, provides a scientific basis for site improvement, and has high accuracy in multi-dimensional assessment.

[0016] 2. This invention evaluates the comprehensive effects of governance schemes on water source regulation, soil improvement, vegetation restoration, and erosion control through a governance analysis module, generating corresponding effectiveness indices. It supports the dynamic optimization of governance measures, configures management modules for hierarchical judgment, and collaboratively outputs the level of ecological environment intervention, the level of site condition improvement and the level of governance plan adaptation, and provides hierarchical response measures to achieve closed-loop management of ecological restoration of arid valleys from diagnosis to decision-making, improves the scientific nature, pertinence and operability of governance, and achieves good intelligent management results. Attached Figure Description

[0017] Figure 1 This is a system flowchart 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 1Table 1 shows the experimental data of growth index, Table 2 shows the experimental data of site index, and Table 3 shows the experimental data of efficiency index. This invention provides a vegetation community configuration management system for ecological restoration of arid valleys, including a multi-dimensional data acquisition module, a community analysis module, an ecological assessment module, a governance analysis module, and a configuration management module. The multidimensional acquisition module acquires ecological environment data, vegetation community configuration data, and management data of governance schemes in arid valleys by connecting to databases and point sensors, and classifies them into valley datasets, vegetation datasets, and governance datasets. The valley dataset includes annual effective precipitation, annual potential evapotranspiration, number of extreme high-temperature days, number of extreme low-temperature days, total number of days per year, total wind speed of sandstorm days per year, number of sandstorm days per year, total number of monitoring points, altitude, slope aspect azimuth, relative elevation of slope, soil moisture content, groundwater depth, soil thickness, soil organic matter content, soil bulk density, soil pH, and soil gravel content. Among them, the climate subtypes include hot dry valleys, warm dry valleys, and warm dry valleys. The vegetation dataset includes vegetation function types, number of plant species, vegetation growth structure layers, growth coverage, vegetation stand types, and number of surviving plants. Among them, vegetation function types include water conservation type, slope stabilization type, and soil improvement type; vegetation growth structure layers include tree layer, shrub layer, and herb layer; and vegetation stand types include coniferous trees and broad-leaved trees. The governance dataset includes the water conservancy project runoff interception volume of the arid valley governance plan, the original runoff volume of the arid valley, the soil moisture content before and after implementation, the soil organic matter content before and after implementation, the target total vegetation coverage, the actual total vegetation coverage, the number of trees planted in the afforestation plan, the number of surviving trees planted, and the slope erosion area before and after implementation. The community analysis module assesses the growth status of the current vegetation community configuration based on the valley dataset and the vegetation dataset, and generates corresponding growth indices. ; Growth Index The calculation process is as follows: S11. Based on the valley dataset and vegetation dataset, extract the ecological environment data and vegetation community configuration data in the arid valley area. S12. Calculate the proportion of plant species of each functional type in the current vegetation community. Its expression is as follows: In the formula, This indicates the number of water-retaining plant species currently configured in the vegetation community. This indicates the number of slope-stabilizing plant species in the current vegetation community configuration. This indicates the number of soil-improving plant species in the current vegetation community configuration. This indicates the percentage of water-retaining plant varieties. This indicates the percentage of slope-stabilizing plant species. This indicates the percentage of soil-improving plant varieties; S13. Calculate the coverage ratio of each growth structure layer in the current vegetation community. Its expression is as follows: In the formula, This indicates the current tree cover of the vegetation community. This indicates the current shrub cover of the vegetation community. This indicates the current herbaceous layer coverage of the vegetation community. Indicates the proportion of tree cover. Indicates the proportion of shrub cover. Indicates the percentage of herbaceous layer coverage; S14. Calculate the percentage of surviving trees of each forest stand type in the current vegetation community. Its expression is as follows: In the formula, This indicates the number of surviving coniferous trees in the canopy layer. This indicates the number of surviving broad-leaved trees in the canopy layer. This indicates the percentage of surviving coniferous trees. This indicates the percentage of surviving broadleaf trees; S15. Calculate the precipitation-evapotranspiration ratio of the current arid valley. Its expression is as follows: In the formula, This indicates the current annual effective precipitation in the arid river valley. This represents the current annual potential evapotranspiration of the arid valley. S16. Calculate the percentage of days with extreme temperatures per year in the current arid river valley. Its expression is as follows: In the formula, This indicates the number of days with extreme high temperatures per year in arid river valleys. This indicates the number of days with extremely low temperatures per year in arid river valleys. Indicates the total number of days in a year; Specifically, the percentage of days with extreme temperatures This reflects the extent of damage caused by extreme temperatures to vegetation in arid river valleys. A daily average temperature >35℃ is considered an extreme high-temperature day, and a daily average temperature <-5℃ is considered an extreme low-temperature day. S17. Calculate the percentage of days with sandstorms per year in the current arid river valley. Its expression is as follows: In the formula, This indicates the number of days with sandstorms per year in arid river valleys; Specifically, the percentage of days with sandstorms starting from the beginning of the year It reflects the wind erosion intensity of arid valleys. A day with an average daily wind speed of >5m / s at 10m below the ground in the valley is considered a sandstorm day. S18. Based on S11-S17, calculate the growth index of the current vegetation community in the arid valley using a weighted method. Its expression is as follows: In the formula, , , and All are weights, and satisfy the following conditions: , , , , Represents a non-zero constant; Specifically, the proportion of water-conserving, slope-stabilizing, and soil-improving plants directly reflects the current configuration structure of vegetation functional types. The coverage ratio of trees, shrubs, and herbs reflects the coverage characteristics of the vegetation growth structure layer. The proportion of surviving coniferous and broad-leaved trees characterizes the composition of the tree stand type. The precipitation evapotranspiration ratio, the proportion of extreme temperature days, and the proportion of sandstorm days quantify the habitat conditions of regional water supply and demand, extreme temperature damage, and wind erosion intensity, respectively. Various factors are integrated through a two-layer weighted framework to achieve a comprehensive calculation of the vegetation community growth index in arid valleys. The following are the experimental data for the growth index, as shown in Table 1: Table 1: Experimental Data for the Growth Index In Table 1, the growth index experimental data show that arid valley A was selected as the experimental target. The weights are set as follows: , , , , , , , , , , , , ; The configuration management module has a fixed range of growth thresholds. It is used to quickly determine the level of intervention in the ecological environment of arid river valleys and the growth threshold range. The calibration method is as follows: This study utilizes an arid valley ecological monitoring database to screen samples from arid valley areas with varying degrees of ecological degradation, encompassing situations ranging from minimal to moderate degradation. Ecological environment data, vegetation growth data, ecological restoration monitoring data, and follow-up results of subsequent ecological restoration were extracted from the sample areas. Different candidate threshold ranges were established. In each calibration experiment, the ecological degradation level and intervention level of the sample areas were classified based on these candidate threshold ranges. The matching degree between the classification results and the actual ecological status diagnosis results was recorded. Furthermore, combined with dynamic ecological restoration monitoring data, the growth index of the sample areas under different ecological restoration intervention rhythms was simulated. The changing trend was analyzed, and the upper and lower limits of the candidate threshold intervals were adjusted. Multiple verification experiments were conducted to record the impact of threshold interval settings on the evaluation of ecological governance effectiveness. For each candidate threshold interval, the collected sample data and dynamic simulation results were used as inputs. The number of times low-to-medium level degradation was misjudged as high-level degradation due to improper interval range settings (counted as over-evaluation), the number of times high-level degradation was misjudged as low-to-medium level degradation (counted as under-evaluation), and the degree of fit between the degradation level classification results and the actual ecological governance effects (such as vegetation restoration rate, ecological environment improvement rate, etc.) were statistically analyzed. Finally, the interval range that minimizes both the over-evaluation rate and the under-evaluation rate and has the highest degree of fit with the actual ecological governance effects was selected as the growth threshold interval. The preferred range; In Table 1, the growth index experimental data shows the growth threshold range. The preferred range is 2.2-2.8. Based on the judgment, <Growth Index of Arid Valley A < This indicates that the ecological environment degradation level in the A region of the arid valley is moderate, the intervention level is 2, and the response measures include maintaining the monitoring frequency of the existing vegetation growth status, applying plant growth regulators and laying water-retaining materials to improve the natural growth environment. The ecological assessment module evaluates site conditions for ecological restoration in arid river valleys based on valley and vegetation datasets, and generates corresponding site indices. ; Site Index The calculation process is as follows: S21. Based on the valley dataset and vegetation dataset, extract ecological environment data and vegetation community configuration data within the arid valley area, and record the total number of monitoring points within the arid valley area as follows: ; S22. Calculate the standardized elevation of each monitoring point. Standardized slope azimuth angle Relative elevation of standardized slope Its expression is as follows: In the formula, This represents the hydrothermal compatibility coefficient, typically ranging from 0.8 to 1.2. Indicates the first The elevation of each monitoring point , This indicates the highest elevation within the arid river valley region. Indicates the lowest elevation in the arid river valley region. Indicates the first Standardized altitude of each monitoring point; Specifically, the hydrothermal compatibility coefficient This is used to correct the nonlinear relationship between altitude and valley hydrothermal compatibility. In practical applications, if the compatibility of hydrothermal conditions with increasing altitude is better than the average level (e.g., there is still sufficient precipitation at high altitudes, resulting in good hydrothermal matching), then the positive contribution of altitude to habitat suitability is amplified. If the coordination of regional hydrothermal conditions with increasing altitude is worse than the average level (e.g., insufficient precipitation and heat scarcity at high altitudes, leading to hydrothermal imbalance), then the positive contribution of altitude is weakened. If the hydrothermal compatibility is linearly correlated with altitude, then no correction is needed. ; In the formula, This represents the radiation correction factor, typically ranging from 1 to 1.5. Indicates the first The slope azimuth angle of each monitoring point This represents the optimal slope azimuth angle. Indicates the first Standardized slope azimuth angle of each monitoring point; Specifically, radiation correction factor This is used to correct the influence of solar radiation in the Northern and Southern Hemispheres on the water retention of slope aspect. In practical applications, the sun is located in the southern sky throughout the year in the Northern Hemisphere, and the north-facing slope (slope aspect azimuth angle of 0° / 360°) is the optimal slope aspect (weak radiation, weak evaporation, and good water retention). Taking a larger value amplifies the influence of the slope aspect factor, aligning with the radiation patterns of the Northern Hemisphere. In the Southern Hemisphere, the sun is located in the northern sky throughout the year, making a south-facing slope (with a slope aspect azimuth of 180°) the optimal slope aspect. Taking a smaller value can weaken the influence of the aspect factor and conform to the radiation pattern in the Southern Hemisphere; In the formula, This represents the water collection coefficient, typically ranging from 0.9 to 1.3. Indicates the first The relative elevation of the slope at each monitoring point This indicates the maximum relative elevation of the slope within an arid river valley region. This represents the minimum relative elevation of a slope within an arid river valley region. Indicates the first Standardized relative elevation of the slope at each monitoring point; Specifically, the water collection coefficient This is used to correct the impact of the proportion of the slope foot and the water collection effect on the ecological environment of the valley. If the proportion of the slope foot is high in the valley area (such as gentle slope mountains, dense gully areas, and alluvial fan areas), it is considered to correct the impact of the slope foot proportion. Taking a larger value can amplify the positive contribution of the slope toe location to site suitability. If the slope toe proportion is low in the valley area (such as steep mountainous areas, areas with dense cliffs, and high-altitude bare rock areas), the slope toe location will be less likely to be affected. Taking a smaller value can weaken the positive contribution of the slope toe location; Standardized results are all limited to Within the interval, this treatment effectively quantified the hydrothermal effect caused by altitude, the radiation effect caused by slope aspect, and the water collection effect mediated by slope elevation, clearly revealing the actual differences in the impact of different topographic factors, thereby achieving horizontal comparability of topographic parameters at each monitoring point. S23. Calculate the standardized soil moisture content at each monitoring point. Standardized groundwater depth Standardized soil thickness Standardized soil organic matter content Standardized soil bulk density Standardized soil pH value and standardized soil gravel content Its expression is as follows: In the formula, Indicates the first Soil moisture content at each monitoring point This indicates the maximum soil moisture content within the arid river valley region. This represents the minimum soil moisture content in arid river valley regions. Indicates the first Standardized soil moisture content at each monitoring point; In the formula, Indicates the first The groundwater depth at each monitoring point This represents the maximum depth of groundwater in arid river valley regions. This represents the minimum depth of groundwater in arid river valley regions. Indicates the first Standardized groundwater depth at each monitoring point; In the formula, Indicates the first Soil thickness at each monitoring point This represents the maximum soil thickness within an arid river valley region. This represents the minimum soil thickness within an arid river valley region. Indicates the first Standardized soil thickness at each monitoring point; In the formula, Indicates the first Soil organic matter content at each monitoring point This indicates the maximum soil organic matter content in arid river valley regions. This represents the minimum value of soil organic matter content in arid river valley regions. Indicates the first Standardized soil organic matter content at each monitoring point; In the formula, Indicates the first Soil bulk density at each monitoring point This represents the maximum soil bulk density in arid river valley regions. This represents the minimum soil bulk density in arid river valley regions. Indicates the first Standardized soil bulk density at each monitoring point; In the formula, Indicates the first Soil pH values ​​at each monitoring point This indicates the maximum soil pH value within the arid river valley region. This represents the minimum soil pH value in arid river valley regions. Indicates the first Standardized soil pH values ​​at each monitoring point; In the formula, Indicates the first Soil gravel content at each monitoring point This indicates the maximum value of soil gravel content in arid river valley regions. This represents the minimum amount of gravel in the soil within an arid river valley region. Indicates the first Standardized soil gravel content at each monitoring point; S24. Calculate the standardized mean elevation within the arid valley region. Standardized slope aspect azimuth mean Standardized slope relative elevation mean Standardized average soil moisture content Standardized groundwater depth average Standardized average soil thickness Standardized average soil organic matter content Standardized average soil bulk density Standardized soil pH value (mean) and the average content of gravel in standardized soil Its expression is as follows: S25. The criteria for determining the optimal site area in arid river valleys include the following conditions: (1) Standardized altitude Between the standardized average altitude between; (2) Standardized slope azimuth ≥ Standardized slope aspect azimuth mean ; (3) Standardized slope relative elevation ≤Standardized slope relative elevation mean ; (4) Standardized soil moisture content ≥Standardized mean soil moisture content ; (5) Standardized groundwater depth ≤Standardized groundwater depth mean ; (6) Standardized soil thickness ≥ Standardized soil thickness mean ; (7) Standardized soil organic matter content ≥ Standardized average soil organic matter content ; (8) Standardized soil bulk density ≤ Standardized average soil bulk density ; (9) Standardized soil pH value Between the average pH value of standardized soil between; (10) Standardized soil gravel content ≤ Standardized average soil gravel content ; The monitoring points that meet all the above conditions are selected, and the area enclosed by the closed line connecting the monitoring points that meet all the above conditions is the optimal site area of ​​the arid valley. S26. Based on S21-S25, calculate the site index within the arid valley region using a weighted method. Its expression is as follows: Standardized altitude Between the standardized average altitude The number of monitoring points between them is denoted as Among them, standardized altitude Monitoring points located near the mean have relatively harmonious water and heat conditions, making them the optimal areas for vegetation growth, and the corresponding topographical site conditions are excellent. Standardize the slope azimuth angle ≥ Standardized slope aspect azimuth mean The number of monitoring points is recorded as Among these factors, slope aspect affects solar radiation and water evaporation. If the standardized slope aspect azimuth of a single monitoring point... The larger the value, the closer the monitoring point is to the optimal slope aspect, the less solar radiation, the better the water retention, the more suitable it is for vegetation growth, and the corresponding terrain and site conditions are excellent. Standardized slope relative elevation ≤Standardized slope relative elevation mean The number of monitoring points is recorded as Among them, the top of the slope with thin soil and rapid water loss corresponds to high relative elevation, the middle of the slope corresponds to medium relative elevation, and the foot of the slope with thick soil and water accumulation corresponds to low relative elevation. Therefore, the monitoring points with medium and low relative elevations are more suitable for vegetation growth, and the corresponding topographic site conditions are excellent. Standardize soil moisture content ≥Standardized mean soil moisture content The number of monitoring points is recorded as Among them, soil moisture content directly determines the water supply capacity of vegetation, and standardized soil moisture content... The larger the soil, the more moisture it retains, and the better it can alleviate drought stress. Standardize groundwater burial depth ≤Standardized groundwater depth mean The number of monitoring points is recorded as Among them, the standardized groundwater burial depth The smaller the water table, the higher the groundwater level, making it easier for plant roots to absorb groundwater and effectively replenish insufficient soil moisture. Standardized soil thickness ≥ Standardized soil thickness mean The number of monitoring points is recorded as Among these factors, soil thickness determines the space for root extension and water and fertilizer storage capacity, and standardized soil thickness... The larger the soil layer, the thicker it is, and the stronger its ability to retain water and fertilizer. Standardize soil organic matter content ≥ Standardized average soil organic matter content The number of monitoring points is recorded as Organic matter is the core carrier of soil fertility, which can improve soil structure, enhance water retention capacity, and standardize soil organic matter content. The larger the size, the higher the soil fertility; Standardize soil bulk density ≤ Standardized average soil bulk density The number of monitoring points is recorded as Among them, standardized soil bulk density The smaller the porosity, the greater the soil porosity, the better the aeration and water permeability, which is more conducive to root respiration and root penetration; Standardize soil pH value Between the average pH value of standardized soil The number of monitoring points between them is denoted as Among them, standardized soil pH value For monitoring points located near the mean, a suitable pH level can promote nutrient absorption by plant roots. Standardize soil gravel content ≤ Standardized average soil gravel content The number of monitoring points is recorded as Among them, the content of standardized soil gravel The smaller the size, the higher the proportion of fine soil particles, the stronger the water and fertilizer retention capacity, and the more conducive it is to the extension of plant roots; In the formula, , and All are weights, and satisfy the following conditions: , , ; The following is the experimental data for the site index, as shown in Table 2: Table 2: Experimental Data for Site Index In Table 2, the arid valley B in the Northern Hemisphere was selected as the experimental target in the site index experimental data. The weights are set as follows: , , , , , , , , , , , ; The configuration management module has a fixed range of site threshold settings. Used to quickly determine the improvement level of site conditions in arid river valleys, site threshold range The calibration method is as follows: Using the arid valley ecological environment monitoring database, regional samples at different stages of site improvement were screened, covering various situations such as unimproved site conditions (poor substrate), slightly improved site conditions (medium substrate), and deeply improved site conditions (excellent substrate). Core site condition monitoring data (such as soil physicochemical properties, topographic slope, hydrological conditions, soil erosion, etc.), improvement project implementation records, and subsequent vegetation growth monitoring results (such as vegetation survival rate, community coverage, growth index, etc.) were extracted from the sample areas. (Changes, etc.) Different candidate threshold ranges were set. In each calibration experiment, the site condition improvement level of the sample area was classified according to the candidate threshold range. The matching degree between the classification results and the actual site condition survey conclusions was recorded. Then, combined with regional ecological dynamic monitoring data, the site index of the sample area under different site improvement intervention intensities was simulated. The changing trends were analyzed to adjust the upper and lower limits of the candidate threshold intervals. Multiple verification experiments were conducted to record the impact of threshold interval settings on site improvement effect assessment and subsequent vegetation configuration. For each candidate threshold interval, the collected sample monitoring data and dynamic simulation results were used as inputs. The number of times low-level improvement areas were misclassified as high-level improvement areas due to improper interval settings (counted as over-assessment), the number of times high-level improvement areas were misclassified as low-level improvement areas (counted as under-assessment), and the degree of fit between the site condition improvement level classification results and subsequent vegetation configuration effectiveness (such as vegetation suitability, community stability, and ecological restoration efficiency) were statistically analyzed. Finally, the interval range that minimizes both over-assessment and under-assessment rates and has the highest degree of fit with subsequent vegetation configuration effectiveness was selected as the site threshold interval. The preferred range; In Table 2, the site index experimental data shows the site threshold range. The preferred range is 0.6-0.8. Based on the judgment, <Site Index of Arid Valley B in the Northern Hemisphere> < This indicates that the site conditions of the ecological environment in the arid valley area are moderate, with an improvement level of 2. Response measures include maintaining the current monitoring frequency of soil and water conditions, carrying out light terrain improvement operations, prioritizing the improvement of the soil and water base at the foot of the slope, and then carrying out vegetation community configuration optimization work after completion. The governance analysis module evaluates the ecological restoration effectiveness of current governance solutions based on the governance dataset and generates corresponding effectiveness indices. ; Performance Index The calculation process is as follows: S31. Based on the governance dataset, extract the management data of the current governance plan for arid river valleys; S32. Calculate the engineering runoff interception efficiency of the current treatment plan. This reflects the ability of water conservancy projects to regulate runoff in arid river valleys, and its expression is as follows: In the formula, This indicates the amount of runoff intercepted by water conservancy projects after the implementation of the current governance plan. This indicates the original runoff of the arid valley before the implementation of the current management plan; S33. Calculate the soil water retention improvement rate of the current treatment plan. Its expression is as follows: In the formula, This indicates the soil moisture content before the implementation of the current remediation plan. This indicates the soil moisture content after the implementation of the current remediation plan; S34. Calculate the soil fertility improvement rate of the current treatment plan. Its expression is as follows: In the formula, This indicates the soil organic matter content before the implementation of the current remediation plan. This indicates the soil organic matter content after the implementation of the current remediation plan; S35. Calculate the vegetation coverage compliance rate of the current governance plan. Its expression is as follows: In the formula, This indicates the target total vegetation coverage before the implementation of the current governance plan. This indicates the actual total vegetation coverage after the implementation of the current governance plan; S36. Calculate the vegetation survival rate of the current treatment plan. Its expression is as follows: In the formula, This indicates the planned number of trees to be planted before the implementation of the current remediation plan. This indicates the number of surviving trees after the implementation of the current remediation plan; S37. Calculate the slope erosion area reduction rate of the current treatment plan. Its expression is as follows: In the formula, This indicates the area of ​​slope erosion before the implementation of the current remediation plan. This indicates the area of ​​slope erosion after the implementation of the current remediation plan; S38. Based on S31-S37, calculate the effectiveness index of the current governance plan for arid river valleys using a weighted method. Its expression is as follows: If the climate subtype of the arid river valley region is hot-dry valley. In the formula, , , , , and All are weights, and satisfy the following conditions: ; If the climate subtype of the arid river valley region is dry-warm river valley. In the formula, , , , , and All are weights, and satisfy the following conditions: , ; If the climate subtype of the arid river valley region is dry-warm river valley. In the formula, , , , , and All are weights, and satisfy the following conditions: , ; Specifically, hot and dry valleys are characterized by consistently high temperatures, low rainfall, and strong evaporation; warm and dry valleys are characterized by consistently warm temperatures, moderate rainfall, and moderate drought; and warm and dry valleys are characterized by consistently mild temperatures, abundant rainfall, and mild drought. Based on the pattern that the weight of engineering governance gradually decreases from hot and dry valleys to warm and dry valleys and then to warm and dry valleys, the priority of governance measures should be tailored to each climate subtype to maximize the effectiveness of the governance measures. The quantitative calculations are highly consistent with the governance priorities of different subtypes of arid valleys, accurately and objectively reflecting the actual application effects of each governance scheme in the corresponding region, while effectively avoiding the one-sidedness of a single evaluation standard, making the evaluation results more targeted and scientifically valuable, thus providing accurate quantitative support for the optimization and improvement of governance schemes for different subtypes of arid valleys. The following are the experimental data for the efficiency index, as shown in Table 3: Table 3: Experimental Data for the Efficiency Index In Table 3, the dry-hot valley C was selected as the experimental target in the efficiency index experimental data. The weights are set as follows: , , , , , ; The configuration management module has a fixed range of performance thresholds. Used to quickly determine the suitability level and effectiveness threshold range of a governance solution. The calibration method is as follows: Using an arid valley ecological restoration database, samples of restoration schemes with varying degrees of suitability were screened, covering categories such as excellent suitability (good restoration effect), moderate suitability (moderate restoration effect), and poor suitability (poor restoration effect). Implementation data (e.g., vegetation configuration type, terrain improvement measures, soil and water conservation methods), ecological restoration monitoring data, and post-restoration effectiveness results (e.g., vegetation survival rate, soil and water conservation effect, community succession progress) were extracted from the sample schemes. Different candidate threshold ranges were set, and in each calibration experiment, the suitability levels of the sample schemes were classified based on these candidate threshold ranges. The matching degree between the classification results and the gold standard results of the actual restoration effectiveness survey was recorded. Combined with dynamic ecological restoration monitoring data, the regional effectiveness index under different intervention and adjustment rhythms of the restoration schemes was simulated. The changing trend was analyzed, and the upper and lower limits of the candidate threshold intervals were adjusted. Multiple verification experiments were conducted to record the impact of threshold interval settings on governance effectiveness evaluation. For each candidate threshold interval, the collected sample data and dynamic simulation results were used as inputs. The number of times low-level adaptability was misjudged as high-level adaptability due to improper interval range settings (counted as over-evaluation), the number of times high-level adaptability was misjudged as low-level adaptability (counted as under-evaluation), and the degree of fit between the adaptability level classification results and actual governance effectiveness (such as scheme adjustment response rate, ecological restoration success rate, governance cost utilization rate, etc.) were counted. Finally, the interval range that minimizes both over-evaluation rate and under-evaluation rate and has the highest degree of fit with actual governance effectiveness was selected as the effectiveness threshold interval. The preferred range; In Table 3, the efficiency index experimental data shows the efficiency threshold range. The preferred range is 0.6-0.8. Based on the judgment, <Dry-hot Valley C Efficiency Index < This indicates that the current governance plan has a mediocre ecological restoration effect, with an adaptation level of 2. Response measures include suspending the implementation process of the existing governance plan and optimizing and adjusting the vegetation functional type and growth structure layer. The configuration management module has a fixed range of growth thresholds. , site threshold range and performance threshold range Combined with the growth index Site Index and efficiency index The system determines the intervention level of the ecological environment, the improvement level of site conditions, and the suitability level of the governance plan in the arid river valley area, and outputs the corresponding judgment results and response measures. The intervention level assessment process is as follows: Let the upper limit of the growth threshold range be denoted as The lower limit of the growth threshold range is denoted as ; If growth index > This indicates that the ecological degradation level in the arid valley area is low, with an intervention level of 1. Response measures include maintaining the monitoring frequency of existing vegetation growth; no additional artificial intervention is required to maintain the natural growth environment. ≤ Growth Index ≤ This indicates a moderate degree of ecological degradation in the arid valley region, with an intervention level of 2. Response measures include maintaining the monitoring frequency of existing vegetation growth, applying plant growth regulators and laying water-retaining materials, and improving the natural growing environment. If the growth index... < This indicates that the ecological environment in the arid valley area is highly degraded, with an intervention level of 3. Response measures include increasing the frequency of monitoring the growth status of existing vegetation, increasing the application of plant growth regulators, increasing the scale of water-retaining material laying, optimizing the configuration of different functional types of vegetation planting, and reconstructing the natural growth environment. The improvement level assessment process is as follows: The upper limit of the site threshold range is denoted as... The lower limit of the site threshold interval is denoted as ; If the ground index > This indicates that the site conditions for ecological improvement within the arid valley region are excellent, with an improvement level of 1. Response measures include maintaining the existing monitoring frequency of soil and water conditions; no additional site improvement measures are required; the original soil and water base condition can be maintained; and vegetation community configuration optimization work can be directly carried out within the optimal site area of ​​the arid valley. ≤ Site Index ≤ This indicates that the site conditions for the ecological environment in the arid valley area are moderate, with an improvement level of 2. Response measures include maintaining the current monitoring frequency of soil and water conditions, carrying out light topographic improvement operations, prioritizing the improvement of the soil and water base at the slope toe, and after the improvement is completed, vegetation community configuration optimization work can be carried out in the optimal site area of ​​the arid valley. If the site index... < This indicates that the site conditions of the ecological environment in the arid valley area are poor, and the improvement level is 3. The response measures include increasing the monitoring frequency of existing soil and water conditions, carrying out severe topographic improvement projects, reconstructing a soil and water base suitable for vegetation growth, and after completion, vegetation community configuration optimization work can be carried out in the optimal site area of ​​the arid valley. The compatibility level assessment process is as follows: Let the upper limit of the performance threshold range be denoted as The lower limit of the performance threshold range is denoted as ; If efficiency index > This indicates that the current governance plan has achieved good ecological restoration results, with an adaptation level of 1. Response measures include continuing the implementation of the existing governance plan, maintaining the monitoring frequency of existing vegetation growth, soil and water conditions, and ecological restoration effects. ≤Efficiency Index ≤ This indicates that the current governance plan has a mediocre ecological restoration effect, with an adaptation level of 2. Response measures include suspending the implementation of the existing governance plan, optimizing and adjusting vegetation functional types and growth structure layers, and improving the effectiveness index. < This indicates that the current governance plan has poor ecological restoration effects, with an adaptation level of 3. Response measures include suspending the implementation process of the existing governance plan, comprehensively adjusting the vegetation function type, vegetation growth structure layer and vegetation stand type, re-planning the governance plan in combination with regional site conditions, and real-time monitoring of the adjusted vegetation growth status, soil and water conditions and ecological restoration effects.

[0020] In this embodiment, a multi-dimensional acquisition module integrates data from the ecological environment, vegetation communities, and governance plans, and categorizes them into datasets, providing a unified and reliable data foundation for subsequent assessments. The community analysis module constructs growth indices... This quantitatively assesses the current growth status of vegetation communities in terms of functional composition, vertical structure, and stand type, enabling precise diagnosis of community health and stability. The ecological assessment module utilizes site indices... This system comprehensively reflects the supporting capacity of topography and soil factors for vegetation habitats, identifies the advantages and disadvantages of site conditions, provides a scientific basis for site improvement, and utilizes the effectiveness index in the governance analysis module. The system evaluates the comprehensive effects of governance plans on water source regulation, soil improvement, vegetation restoration and erosion control, supports the dynamic optimization of governance measures, configures management modules for hierarchical judgment, and collaboratively outputs the ecological environment intervention level, site condition improvement level and governance plan suitability level, and provides hierarchical response measures to achieve closed-loop management of ecological restoration of arid valleys from diagnosis to decision-making, thereby improving the scientific nature, pertinence and operability of governance.

[0021] 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.

[0022] 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 vegetation community configuration management system for ecological restoration of arid river valleys, characterized in that: It includes a multi-dimensional data acquisition module, a community analysis module, an ecological assessment module, a governance analysis module, and a configuration management module; The multidimensional acquisition module acquires ecological environment data, vegetation community configuration data, and management data of governance schemes for arid valleys by connecting to databases and point sensors, and classifies them into valley datasets, vegetation datasets, and governance datasets. The community analysis module assesses the growth status of the current vegetation community configuration based on the valley dataset and vegetation dataset, and generates corresponding growth indices. ; The ecological assessment module evaluates the site conditions for ecological restoration in arid river valleys based on valley and vegetation datasets, and generates corresponding site indices. ; The governance analysis module evaluates the ecological restoration effectiveness of the current governance plan based on the governance dataset and generates a corresponding effectiveness index. ; The configuration management module is set with a fixed range of growth thresholds. , site threshold range and performance threshold range Combined with the growth index Site Index and efficiency index It determines the intervention level of the ecological environment, the improvement level of site conditions, and the suitability level of the governance plan in the arid river valley area, and outputs the corresponding judgment results and response measures.

2. The vegetation community configuration management system for ecological restoration of arid river valleys according to claim 1, characterized in that: The valley dataset includes annual effective precipitation, annual potential evapotranspiration, number of extreme high-temperature days, number of extreme low-temperature days, total number of days per year, total wind speed of sandstorm days per year, number of sandstorm days per year, total number of monitoring points, altitude, slope aspect azimuth, relative elevation of slope, soil moisture content, groundwater depth, soil thickness, soil organic matter content, soil bulk density, soil pH value, and soil gravel content. Among them, the climate subtypes include hot-dry valleys, warm-dry valleys, and warm-dry valleys.

3. A vegetation community configuration management system for ecological restoration of arid river valleys according to claim 2, characterized in that: The vegetation dataset includes vegetation function types, number of plant species, vegetation growth structure layers, growth coverage, vegetation stand types, and number of surviving plants. Among them, vegetation function types include water-conserving, slope-stabilizing, and soil-improving types; vegetation growth structure layers include tree layer, shrub layer, and herb layer; and vegetation stand types include coniferous trees and broad-leaved trees.

4. A vegetation community configuration management system for ecological restoration of arid river valleys according to claim 3, characterized in that: The governance dataset includes the water conservancy project runoff interception volume of the arid valley governance plan, the original runoff volume of the arid valley, the soil moisture content before and after implementation, the soil organic matter content before and after implementation, the target total vegetation coverage, the actual total vegetation coverage, the number of trees planted in the afforestation plan, the number of surviving trees, and the slope erosion area before and after implementation.

5. A vegetation community configuration management system for ecological restoration of arid river valleys according to claim 4, characterized in that: The growth index The calculation process is as follows: S11. Based on the valley dataset and vegetation dataset, extract the ecological environment data and vegetation community configuration data in the arid valley area. S12. Calculate the proportion of plant species of each functional type in the current vegetation community. ; S13. Calculate the coverage ratio of each growth structure layer in the current vegetation community. ; S14. Calculate the percentage of surviving trees of each forest stand type in the current vegetation community. ; S15. Calculate the precipitation-evapotranspiration ratio of the current arid valley. ; S16. Calculate the percentage of days with extreme temperatures per year in the current arid river valley. ; S17. Calculate the percentage of days with sandstorms per year in the current arid river valley. ; S18. Based on S11-S17, calculate the growth index of the current vegetation community in the arid valley using a weighted method. .

6. A vegetation community configuration management system for ecological restoration of arid river valleys according to claim 5, characterized in that: The site index The calculation process is as follows: S21. Based on the valley dataset and vegetation dataset, extract ecological environment data and vegetation community configuration data within the arid valley area, and record the total number of monitoring points within the arid valley area as follows: ; S22. Calculate the standardized elevation of each monitoring point. Standardized slope azimuth angle Relative elevation of standardized slope ; S23. Calculate the standardized soil moisture content at each monitoring point. Standardized groundwater depth Standardized soil thickness Standardized soil organic matter content Standardized soil bulk density Standardized soil pH value and standardized soil gravel content ; S24. Calculate the standardized mean elevation within the arid valley region. Standardized slope aspect azimuth mean Standardized slope relative elevation mean Standardized average soil moisture content Standardized groundwater depth average Standardized average soil thickness Standardized average soil organic matter content Standardized average soil bulk density Standardized soil pH value (mean) and the average gravel content of standardized soil ; S25. The criteria for determining the optimal site area in arid river valleys include the following conditions: (1) Standardized altitude Between the standardized average altitude between; (2) Standardized slope azimuth ≥ Standardized slope aspect azimuth mean ; (3) Standardized slope relative elevation ≤Standardized slope relative elevation mean ; (4) Standardized soil moisture content ≥ Standardized mean soil moisture content ; (5) Standardized groundwater depth ≤Standardized groundwater depth mean ; (6) Standardized soil thickness ≥ Standardized soil thickness mean ; (7) Standardized soil organic matter content ≥ Standardized average soil organic matter content ; (8) Standardized soil bulk density ≤ Standardized average soil bulk density ; (9) Standardized soil pH value Between the average pH value of standardized soil between; (10) Standardized soil gravel content ≤ Standardized soil gravel content average ; The monitoring points that meet all the above conditions are selected, and the area enclosed by the closed line connecting the monitoring points that meet all the above conditions is the optimal site area of ​​the arid valley. S26. Based on S21-S25, calculate the site index within the arid valley region using a weighted method. .

7. A vegetation community configuration management system for ecological restoration of arid river valleys according to claim 6, characterized in that: The efficiency index The calculation process is as follows: S31. Based on the governance dataset, extract the management data of the current governance plan for arid river valleys; S32. Calculate the engineering runoff interception efficiency of the current treatment plan. ; S33. Calculate the soil water retention improvement rate of the current treatment plan. ; S34. Calculate the soil fertility improvement rate of the current treatment plan. ; S35. Calculate the vegetation coverage compliance rate of the current governance plan. ; S36. Calculate the vegetation survival rate of the current treatment plan. ; S37. Calculate the slope erosion area reduction rate of the current treatment plan. ; S38. Based on S31-S37, calculate the effectiveness index of the current governance plan for arid river valleys using a weighted method. .

8. A vegetation community configuration management system for ecological restoration of arid river valleys according to claim 7, characterized in that: The intervention level assessment process is as follows: Let the upper limit of the growth threshold range be denoted as The lower limit of the growth threshold range is denoted as ; If growth index > This indicates that the ecological degradation level in the arid valley area is low, with an intervention level of 1. Response measures include maintaining the monitoring frequency of existing vegetation growth; no additional artificial intervention is required to maintain the natural growth environment. ≤ Growth Index ≤ This indicates a moderate degree of ecological degradation in the arid valley region, with an intervention level of 2. Response measures include maintaining the monitoring frequency of existing vegetation growth, applying plant growth regulators and laying water-retaining materials, and improving the natural growing environment. If the growth index... < This indicates that the ecological environment in the arid valley area is highly degraded, with an intervention level of 3. Response measures include increasing the frequency of monitoring the growth status of existing vegetation, increasing the application of plant growth regulators, increasing the scale of water-retaining material laying, optimizing the planting of different functional types of vegetation, and reconstructing the natural growth environment.

9. A vegetation community configuration management system for ecological restoration of arid river valleys according to claim 8, characterized in that: The improvement level evaluation process is as follows: The upper limit of the site threshold range is denoted as... The lower limit of the site threshold interval is denoted as ; If the ground index > This indicates that the site conditions for ecological improvement within the arid valley region are excellent, with an improvement level of 1. Response measures include maintaining the existing monitoring frequency of soil and water conditions; no additional site improvement measures are required; the original soil and water base condition can be maintained; and vegetation community configuration optimization work can be directly carried out within the optimal site area of ​​the arid valley. ≤ Site Index ≤ This indicates that the site conditions for the ecological environment in the arid valley area are moderate, with an improvement level of 2. Response measures include maintaining the current monitoring frequency of soil and water conditions, carrying out light topographic improvement operations, prioritizing the improvement of the soil and water base at the slope toe, and after the improvement is completed, vegetation community configuration optimization work can be carried out in the optimal site area of ​​the arid valley. If the site index... < This indicates that the site conditions of the ecological environment in the arid river valley area are harsh, and the improvement level is 3. The response measures include increasing the monitoring frequency of existing soil and water conditions, carrying out severe topographic improvement projects, reconstructing a soil and water base suitable for vegetation growth, and after the improvement is completed, vegetation community configuration optimization work can be carried out in the optimal site area of ​​the arid river valley.

10. A vegetation community configuration management system for ecological restoration of arid river valleys according to claim 9, characterized in that: The adaptation level assessment process is as follows: Let the upper limit of the performance threshold range be denoted as The lower limit of the performance threshold range is denoted as ; If efficiency index > This indicates that the current governance plan has achieved good ecological restoration results, with an adaptation level of 1. Response measures include continuing the implementation of the existing governance plan, maintaining the monitoring frequency of existing vegetation growth, soil and water conditions, and ecological restoration effects. ≤Efficiency Index ≤ This indicates that the current governance plan has a mediocre ecological restoration effect, with an adaptation level of 2. Response measures include suspending the implementation of the existing governance plan, optimizing and adjusting vegetation functional types and growth structure layers, and improving the effectiveness index. < This indicates that the current governance plan has poor ecological restoration effects, with an adaptation level of 3. Response measures include suspending the implementation process of the existing governance plan, comprehensively adjusting the vegetation function type, vegetation growth structure layer and vegetation stand type, re-planning the governance plan in combination with regional site conditions, and real-time monitoring of the adjusted vegetation growth status, soil and water conditions and ecological restoration effects.

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