Big data-based ecological isolation space ecological optimization decision-making auxiliary method and system

Abstract

The invention belongs to the technical field of ecological optimization, and provides an ecological isolation space ecological optimization decision-making auxiliary method and system based on big data, and the method comprises the steps: obtaining a resource competition value and a quantity ratio value in an ecological isolation space, and carrying out the comprehensive obtaining of an ecological comprehensive value, species in the ecological isolation space are divided into dominant species and other species by comparing the ecological comprehensive value with a threshold value, whether the dominant species will interfere with the other species or not is judged, and the inverse proportion influence relation of the dominant species and the other species is obtained by analyzing the number change of the dominant species and the other species; according to the inverse proportion influence relation between the dominant species and other species, the number of the dominant species and other species is regulated and controlled, the problem that the dominant species cause ecological interference on other species due to the fact that protection and recovery of the dominant species are excessively concerned in the ecological optimization process is solved, and stability and health of an ecological system can be effectively maintained.

Description

Technical Field

[0001] The present invention belongs to the technical field of ecological optimization, and specifically relates to an ecological optimization decision-making assistance method and system for ecological isolation spaces based on big data. Background Art

[0002] There are many problems in the existing technology for judging whether dominant species will interfere with other species and for ecological system regulation. For example: there is a lack of accurate quantitative indicators and analysis methods to judge whether dominant species will interfere with other species, which may be based only on simple observations or qualitative analysis, without considering the functional relationship between the number of species over time and quantitative indicators such as the resulting ecological interference index, leading to inaccurate judgments of the interference relationship between species. In terms of ecological system regulation, the existing technology may lack scientific basis and accurate regulation methods, making it difficult to determine a reasonable amount of species number adjustment, which may lead to poor regulation effects and an inability to effectively maintain the balance of the ecological system.

[0003] Therefore, the present invention provides an ecological optimization decision-making assistance method and system for ecological isolation spaces based on big data. Summary of the Invention

[0004] In order to make up for the deficiencies of the existing technology and solve at least one of the technical problems proposed in the background art.

[0005] The technical solution adopted by the present invention to solve its technical problems is as follows: Step 1: Obtain the resource competitiveness data of each species in the ecological isolation space over historical periods and the number of each species, and calculate the resource competition value and quantity ratio of each species; Step 2: Obtain the ecological comprehensive value through the resource competition value and quantity ratio of each species, and classify the species in the ecological isolation space into dominant species and other species according to the ecological comprehensive value; Step 3: Calculate the ecological interference index by analyzing the quantity changes of dominant species and other species, and judge whether the dominant species will interfere with other species; Step 4: If the dominant species will interfere with other species, regulate the quantities of the dominant species and other species according to the inverse proportional influence relationship between the dominant species and other species to keep the ecological system in balance.

[0006] Further, the calculation process of the resource competition value and quantity ratio of each species includes: For plant species, calculate the ratio of the photosynthetic transpiration ratio of each plant in the ecological isolation space to the total photosynthetic transpiration ratio to obtain the resource competition value of each plant; Calculate the ratio of the quantity of each plant in the ecological isolation space to the total quantity of plants to obtain the quantity ratio of plants; For animal species, the resource competition value of each animal in the ecological isolation space is calculated by taking the ratio of the comprehensive index of the resource competitiveness of each animal to the total comprehensive index of the source competitiveness. The ratio of the number of each animal species in the ecological isolation space to the total number of animals is calculated to obtain the proportion of the number of animals.

[0007] Furthermore, the calculation method of the photosynthetic transpiration ratio of the plant is as follows: Measure the amount of carbon dioxide absorbed by the leaf under light conditions in the historical period and the amount of water transpired by the leaf per unit time using a portable photosynthesis measuring instrument; Calculate the photosynthesis rate based on the measured amount of carbon dioxide absorbed, combined with the gas flow and the leaf area; Calculate the transpiration rate based on the measured amount of water transpired, combined with the leaf area and the measurement time; Calculate the ratio of the photosynthesis rate and the transpiration rate of the plant to obtain the photosynthetic transpiration ratio of the plant.

[0008] Furthermore, the calculation method of the comprehensive index of the resource competitiveness of the animal is as follows: Statistically analyze the historical reproduction data of the animal population, and construct a reproduction ability index based on the average number of offspring per litter, the number of reproductions per year, and the survival rate of cubs obtained; Divide the total area of the unit areas occupied by each animal by the total area of the ecological isolation space to obtain the habitat occupancy rate of the animal; Comprehensively calculate the reproduction ability index and the habitat occupancy rate of the animal to obtain the comprehensive index of the resource competitiveness of the animal.

[0009] Furthermore, the method of classifying the species in the ecological isolation space into dominant species and other species includes: Add the resource competition value and the proportion of the number of each species to obtain the ecological comprehensive value of each species; Compare the ecological comprehensive value of each species with the threshold; If the ecological comprehensive value of the species is greater than the threshold, classify the species as a dominant species; If the ecological comprehensive value of the species is less than the threshold, classify the species as other species.

[0010] Furthermore, the process of determining whether the dominant species will interfere with other species is as follows: Divide the historical period into several small time periods, and mark the small time periods with an ecological interference index greater than or equal to the threshold as interference time periods; Count the number of interference time periods, and calculate the ratio of the number of interference time periods to the total number of small time periods to obtain the proportion of interference time periods; The coefficient of variation is calculated, and by taking the difference between the ratio of the interference time period and the coefficient of variation, the species interference evaluation value is obtained; The species interference evaluation value is compared with the species interference evaluation threshold; If the species interference evaluation value is greater than or equal to the species interference evaluation threshold, it indicates that the dominant species will cause growth interference to other species; If the species interference evaluation value is less than the species interference evaluation threshold, it indicates that the dominant species will not cause growth interference to other species.

[0011] Furthermore, the calculation process of the coefficient of variation includes: Integrate the ecological interference indexes corresponding to the interference time periods into an ecological interference index sequence; Calculate the ratio of the standard deviation to the mean of the ecological interference index sequence to obtain the coefficient of variation.

[0012] Furthermore, the process of regulating the numbers of the dominant species and other species includes: According to the inverse proportional influence relationship, calculate the adjustment amounts that the dominant species and other species need to adjust through the current ratio of the dominant species and other species; Calculate the ratio of the numbers of the adjusted dominant species and other species to obtain a new ratio; Through continuous adjustment of the numbers of the dominant species and other species, a final ratio is obtained.

[0013] Furthermore, the calculation process of the inverse proportional influence relationship includes: Divide the historical period into several small time periods, and for each small time period, calculate the change amount of the number of the dominant species and the change amount of the number of other species; Calculate the influence ratio z1 of the change in the number of the dominant species on the change in the number of other species and the influence ratio z2 of the change in the number of other species on the change in the number of the dominant species; Calculate the mean values of z1 and z2 within all small time periods, and finally obtain that the inverse proportional influence relationship ratio between the dominant species and the common species is .

[0014] An ecological isolation space ecological optimization decision-making assistance system based on big data includes the following modules: Data acquisition and basic calculation module: Acquire the resource competitiveness data of each species in the ecological isolation space during the historical period and the numbers of each species, and calculate the resource competition values and quantity ratio values of each species; Species classification module: Obtain the ecological comprehensive value through the resource competition values and quantity ratio values of each species, and classify the species in the ecological isolation space into dominant species and other species according to the ecological comprehensive value; Interference judgment module: By analyzing the quantity changes of dominant species and other species, calculate the ecological interference index to determine whether the dominant species will cause interference to other species; Quantity regulation module: If the dominant species will cause interference to other species, according to the inverse proportional influence relationship between the dominant species and other species, regulate the quantities of the dominant species and other species to keep the ecosystem in balance.

[0015] The beneficial effects of the present invention are as follows: By classifying the species in the ecological isolation space into dominant species and other species, and by analyzing the quantity changes of the dominant species and other species, determine whether the dominant species will cause interference to other species, and according to the inverse proportional influence relationship between the dominant species and other species, regulate the quantities of the dominant species and other species, thus solving the problem that in the process of ecological optimization, excessive attention is paid to the protection and restoration of dominant species, resulting in the dominant species causing ecological interference to other species, and being able to effectively maintain the stability and health of the ecosystem. Description of the Drawings

[0016] The present invention will be further described below with reference to the drawings.

[0017] Figure 1 is a step flow chart of an ecological optimization decision-making assistance method for an ecological isolation space based on big data according to an embodiment of the present invention; Figure 2 is a program block diagram of an ecological optimization decision-making assistance system for an ecological isolation space based on big data according to an embodiment of the present invention. Detailed Embodiments

[0018] In order to make the technical means, creative features, achieved purposes and functions of the present invention easy to understand, the present invention will be further described below in conjunction with the detailed embodiments.

[0019] Embodiment 1, please refer to Figure 1 As shown, an ecological optimization decision-making assistance method for an ecological isolation space based on big data according to an embodiment of the present invention includes the following steps: Step 1: Obtain the resource competitiveness data of each species in the ecological isolation space in the historical period and the quantity of each species, and calculate the resource competition value and quantity occupancy ratio of each species; In Step 1, the resource competitiveness of each species refers to the ability of the species in the ecological isolation space to obtain and utilize resources; Among them, the acquisition of the plant resource competition ability includes: By using a portable photosynthesis measuring instrument to measure the carbon dioxide absorption amount of the leaves under the light condition in the historical period and the water transpiration amount of the leaves per unit time, calculate the photosynthesis rate according to the measured carbon dioxide absorption amount, and the calculation formula is: ; where P n is the net photosynthetic rate (μmolCO2 / m² / s), V is the gas flow rate (mol / s), and A is the leaf area (m²); The higher the transpiration rate, the stronger the plant's water absorption ability. Based on the water transpiration data measured by the instrument, combined with the leaf area and measurement time, the transpiration rate is calculated. The calculation formula is: Tr=(Hin−Hout)×V×1000 / A; where Tr is the transpiration rate (mmolH2O / m² / s), where Hin and Hout are the water vapor concentrations (mmol / mol) at the inlet and outlet of the leaf chamber respectively, V is the gas flow rate (mol / s), and A is the leaf area (m²); The photosynthetic transpiration ratio (PTR) of the plant is calculated by taking the ratio of the photosynthesis rate to the transpiration rate of the plant. The higher the photosynthetic transpiration ratio, the more effectively the plant can utilize water resources for photosynthesis, thus gaining an advantage in resource competition and having a stronger resource competition ability; The acquisition of the animal's resource competition ability includes: Statistical analysis of the historical reproduction data of the animal population shows that the average number of offspring per litter is n, the number of reproductions per year is m, and the survival rate of the cubs is s. Then the reproduction ability index can be constructed ; Mark the activity range of the animal in the historical period through GPS tracking technology, then calculate the total area of the unit area occupied by each animal, and divide it by the total area of the ecological isolation space to obtain the habitat occupancy rate O of the animal; Set the weight of the habitat occupancy rate as and the weight of the reproduction ability index as and Then the comprehensive index C of the animal's resource competitiveness is: ; In step one, the process of obtaining the quantity of each species includes: By the quadrat method, within the ecological isolation space, according to the vegetation distribution characteristics and spatial heterogeneity, the area is divided into several quadrats of appropriate size. For herbaceous plants, the quadrat area is usually about 1 square meter; for shrubs, the quadrat may need to be expanded to 0 - 100 square meters; for trees, it may require several hundred square meters. During the investigation, information such as the number of individuals and species of each plant in each quadrat needs to be recorded, and finally, the quantity of plants in the entire ecological isolation space is estimated by statistical analysis of the quadrat data; Through the infrared camera detection method, in the ecological isolation space, infrared cameras are reasonably arranged according to the movement paths and habitat distributions of animals. The cameras can automatically sense the body temperature and movement of animals and take photos or videos for recording. By analyzing the images captured by the cameras, animal species and individual characteristics are identified, and then the number of animals is counted; In step one, the calculation process of the resource competition value and quantity proportion value of each species includes: Add up the photosynthetic transpiration ratios of each plant in the ecological isolation space to obtain the total photosynthetic transpiration ratio of the plants. Calculate the ratio of each plant's photosynthetic transpiration ratio to the total photosynthetic transpiration ratio to obtain the resource competition value of each plant; Add up the comprehensive indexes of the source competitiveness of each animal in the ecological isolation space to obtain the total comprehensive index of the source competitiveness of the animals. Calculate the ratio of each animal's comprehensive index of the source competitiveness to the total comprehensive index of the source competitiveness to obtain the resource competition value of each animal; Add up the quantities of each type of plant in the ecological isolation space to obtain the total quantity of plants. Calculate the ratio of the quantity of each type of plant to the total quantity of plants to obtain the quantity proportion value of the plants; Add up the quantities of each type of animal in the ecological isolation space to obtain the total quantity of animals. Calculate the ratio of the quantity of each type of animal to the total quantity of animals to obtain the quantity proportion value of the animals; Step two: Obtain the ecological comprehensive value through the resource competition value and quantity proportion value of each species, and divide the species in the ecological isolation space into dominant species and other species according to the ecological comprehensive value; In step two, the calculation process of the ecological comprehensive value of each species includes: Add up the resource competition value and quantity proportion value of each species to obtain the ecological comprehensive value of each species; It can be understood that the physical meaning represented by the ecological comprehensive value is: The ecological comprehensive value formed by adding the resource competition value and quantity proportion value is a quantitative manifestation of the comprehensive status and influence of a species in the ecological isolation space. Among them, the resource competition value reflects the strength of the species' ability to obtain and utilize resources. The larger the resource competition value, the stronger the species' ability to obtain resources in the ecological isolation space. The quantity proportion value reflects the relative scale of the species' population quantity in the ecological isolation space. The larger the quantity proportion of a species, the higher the proportion of its individual quantity in the entire ecosystem, and the greater the role in the stability and functional operation of the ecosystem; Set a threshold, compare the ecological comprehensive value of each species with the threshold. If the ecological comprehensive value of a species is greater than the threshold, classify the species as a dominant species. If the ecological comprehensive value of a species is less than the threshold, classify the species as other species; Among them, the threshold setting of the ecological comprehensive value can be achieved by long-term monitoring and analysis of the resource competition value and quantity ratio of recognized dominant species in this ecosystem, and calculating their average value, which can be used as the threshold of the ecological comprehensive value. For example: In a mature temperate forest ecosystem, after years of research, some dominant tree species such as oak and beech are determined. Calculate their ecological comprehensive values and take the average value, which can be used as the threshold for judging whether other species in this forest are dominant species.

[0020] Step 3: By analyzing the quantity changes of dominant species and other species, calculate the ecological interference index to determine whether the dominant species will interfere with other species; In Step 3, the calculation process of the ecological interference index includes: Divide the historical period into several small time periods. Analyze the quantity changes of dominant species and other species within each small time period, construct a function of the quantities of dominant species and other species changing with time, and calculate the ecological interference index according to the function. The ecological interference index is an inverse proportional parameter, reflecting the impact of the increase in the quantity of dominant species on the decrease in the quantity of other species; In Step 3, the process of determining whether the dominant species will interfere with other species includes: If within a small time period, the ecological interference index is greater than or equal to the threshold, mark this small time period as an interference time period; Among them, the threshold of the ecological interference index can be obtained by long-term monitoring of the quantity changes of species in the ecosystem, getting the law of the quantity of species changing with time and the fluctuation range of the ecological interference index. The maximum value of the ecological interference index when the ecosystem does not show obvious abnormalities or the ecological balance is not broken in the long-term monitoring data can be used as the threshold. This can ensure that potential problems can be discovered by comparing with the threshold before the ecosystem shows perceptible changes.

[0021] Count the number of interference time periods, calculate the ratio of the number of interference time periods to the total number of small time periods to obtain the ratio of interference time periods; Based on the interference time periods, integrate the ecological interference indices corresponding to the interference time periods into an ecological interference index sequence; Calculate the coefficient of variation of the interference index sequence, and perform a difference process on the ratio of interference time periods and the coefficient of variation to obtain the species interference evaluation value; Among them, the coefficient of variation is obtained by calculating the ratio between the standard deviation and the mean of the ecological interference index sequence; Compare the species interference evaluation value with the species interference evaluation threshold; If the species interference evaluation value is greater than or equal to the species interference evaluation threshold, it indicates that the dominant species will cause growth interference to other species; If the species interference evaluation value is less than the species interference evaluation threshold, it indicates that the dominant species will not cause growth interference to other species; Among them, the threshold of the species interference evaluation value can be obtained by collecting relevant data within the historical cycle of the ecosystem, including information such as changes in species quantity, ecological interference index, and changes in the structure and function of the ecosystem. Identify the key nodes where obvious changes in the ecosystem structure, damage to functions, or significant impacts on other species occurred in the past, and use the corresponding species interference evaluation value as the threshold. For example: When the dominant species reproduced in large numbers in a certain period in the past, resulting in a sharp decline in the quantity of other species and the stability of the ecosystem being damaged, the species interference evaluation value at this time can be used as the threshold.

[0022] It can be understood that the physical meaning of the species interference evaluation value is as follows: By performing a difference operation on the ratio of the interference time period to the coefficient of variation, the species interference evaluation value is obtained. Among them, the ratio of the interference time period reflects the inverse proportional growth relationship between the dominant species and other species in terms of growth quantity. The larger the ratio of the interference time period, the higher the probability that the dominant species will cause growth interference to other species. The coefficient of variation reflects the fluctuation stability of the ecological interference index corresponding to the interference time period. The smaller the coefficient of variation, the higher the stability of the ecological interference index, indicating a higher stability of the inverse proportional growth relationship between the dominant species and other species, and thus a higher probability that the dominant species will cause growth interference to other species; Exemplarily, assume that in a certain ecological isolation space, the past 12 months (historical cycle) are divided into 12 small time periods (each month is a time period); Assume that the function of the quantity of the dominant species changing with time is (obtained through data fitting), and the function of the total quantity of other species changing with time is ; Set the calculation formula of the ecological interference index EII as: where represents the function of the quantity of the dominant species, represents the function of the quantity of other species; For the dominant species: For other species: Then Taking the third month as an example (t = 3): ; Assume that the threshold of the ecological interference index is set to 1.2. Since the third month is the interference time period; ​Count the number of interference time periods of the dominant species within the historical period. Assume that the number of interference time periods of the dominant species is 8, namely February, March, April, May, June, July, August, and September. The proportion of the interference time period = ; The obtained ecological interference index sequence is {EII2, EII3, EII4, EII5, EII6, EII7, EII8, EII9}, that is, {1.24, 1.51, 1.91, 2.45, 3.16, 4.07, 5.22, 6.67}; Calculate the mean value : ; Calculate the standard deviation: ; Calculate the coefficient of variation CV: ; Calculate the species interference evaluation value: Species interference evaluation value = Proportion of the interference time period - Coefficient of variation = 0.67 - 0.57 = 0.1; Assume that the set species interference evaluation threshold is 0.05. Because the species interference evaluation value So it means that the dominant species will cause growth interference to other species.

[0023] Step 4: If the dominant species will cause interference to other species, according to the inverse proportional influence relationship between the dominant species and other species, regulate the quantities of the dominant species and other species to keep the ecosystem in balance; In Step 4, the inverse proportional influence relationship between the dominant species and other species is the ratio of the influence of the change in the quantity of the dominant species on the change in the quantity of common species to the influence of the change in the quantity of common species on the change in the quantity of the dominant species. The calculation process includes: Divide the historical period into n small time periods. For the i-th small time period, calculate the change in the quantity of the dominant species , and the change in the quantity of other species ; Calculate the influence ratio of the change in the quantity of the dominant species on the change in the quantity of other species (when ), it represents the change in the quantity of other species when the quantity of the dominant species changes by one unit within the i-th small time period; Calculate the influence ratio of the change in the quantity of other species on the change in the quantity of the dominant species (when ), it represents the change in the quantity of the dominant species when the quantity of other species changes by one unit within the i-th small time period; Calculate the mean value of within all small time periods , and the formula is , calculate the average value within all small time periods of , the formula is , and finally obtain the inverse proportional influence relationship ratio between the dominant species and the common species as , where n is the total number of small time periods; Adjust the ratio of the dominant species to other species from x:y to x1:y1 according to the inverse proportional influence relationship z1:z2, adjust the quantity of the dominant species to be ∆x, and according to the inverse proportional influence relationship, other species will change , and the adjusted ratio should satisfy , calculate and obtain that the quantity of the adjusted dominant species is ; Adjust the quantities of the dominant species and the common species according to the calculated ∆x and ∆y. According to the inverse proportional relationship, initially set an adjustment quantity ∆x, calculate the quantity of the common species after adjustment, and calculate the corresponding adjustment quantity of the dominant species according to the inverse proportional relationship, gradually approaching the target ratio; If one adjustment fails to reach the target ratio, calculate the next adjustment quantity according to the magnitude of the difference and the inverse proportional influence relationship, and repeat the adjustment process. During the adjustment process, continuously monitor the ratio changes of the dominant species and the common species, and make fine adjustments according to the actual situation to ensure that the final ratio is close to or reaches x1:y1; Exemplarily, assume that in a certain freshwater lake ecological isolation space, cyanobacteria (dominant species) and water fleas (other species), after research, determine that the inverse proportional influence relationship of their quantity changes is z1:z2 = 4:1, and the current quantity ratio of cyanobacteria and water fleas is x:y = 800:200 (unit: ten thousand per square meter). In order to maintain the health and stability of the lake ecosystem, set the target ratio as x1:y1 = 400:600; Calculate the adjustment quantity ∆x for the first time. According to the formula , substitute x = 800, y = 200, z1 = 4, z2 = 1, x1 = 400, y1 = 600 into the equation, and calculate to obtain , reduce the quantity of cyanobacteria by 1.82 million per cubic meter. At this time, the quantity of cyanobacteria becomes 800 - 1.82 = 6.18 million per cubic meter. According to the inverse proportional influence relationship, the change in the quantity of water fleas is ten thousand per cubic meter, and the adjusted ratio is 618:928, still having a difference from the target ratio of 400:600; Calculate the adjustment quantity for the second time. Take the adjusted ratio 618:928 as the new starting ratio, recalculate the adjustment quantity ∆x, and substitute it into the formula , since the value of ∆x is small, reduce the quantity of cyanobacteria by 10,000 per cubic meter. At this time, the quantity of cyanobacteria becomes 618 - 1 = 617 ten thousand per cubic meter, and the change in the quantity of water fleas is When the number of water fleas is 9.28 million per cubic meter, the number of water fleas becomes 9.28 + 0.04 = 9.32 million per cubic meter. At this time, the ratio is 617:932, which is closer to the target ratio; Continue to follow the above method. Based on the current ratio, calculate the adjustment amount each time according to the inverse proportional influence relationship, and gradually adjust the number of cyanobacteria and water fleas. During the adjustment process, monitor the number of cyanobacteria and water fleas every three days and calculate the actual ratio. If the ratio changes too much after a certain adjustment, the adjustment amount can be appropriately reduced; if the change is too small, the adjustment amount can be appropriately increased. After multiple adjustments, finally, the number of cyanobacteria stabilizes at 4.05 million per cubic meter, the number of water fleas stabilizes at 6.08 million per cubic meter, and the ratio is 405:608, which is close to the target ratio of 400:600, achieving the expected effect of ecological regulation.

[0024] The technical solution and beneficial points of the embodiments of the present application are as follows: Obtain the resource competitiveness data and the number of each species in the ecological isolation space in the historical cycle, calculate the resource competition value and the quantity occupancy ratio of each species, obtain the ecological comprehensive value through the resource competition value and the quantity occupancy ratio of each species, compare the ecological comprehensive value with the threshold value, divide the species in the ecological isolation space into dominant species and other species, calculate the ecological interference index by analyzing the quantity changes of the dominant species and other species, compare it with the set threshold value, and judge whether the dominant species will cause interference to other species. If the dominant species will cause interference to other species, according to the inverse proportional influence relationship between the dominant species and other species, regulate the quantity of the dominant species and other species to keep the ecosystem balanced. The present application divides the species in the ecological isolation space into dominant species and other species, analyzes the quantity changes of the dominant species and other species, judges whether the dominant species will cause interference to other species, and regulates the quantity of the dominant species and other species according to the inverse proportional influence relationship between the dominant species and other species, thus solving the problem that in the process of ecological optimization, too much attention is paid to the protection and restoration of dominant species, resulting in ecological interference of dominant species to other species, and can effectively maintain the stability and health of the ecosystem.

[0025] Example 2, please refer to Figure 2 As shown, a decision-making assistance system for ecological optimization of a reproductive isolation space based on big data according to an embodiment of the present invention includes: Data acquisition and basic calculation module: Obtain the resource competitiveness data and the number of each species in the ecological isolation space in the historical cycle, and calculate the resource competition value and the quantity occupancy ratio of each species; The resource competitiveness of each species refers to the ability of the species in the ecological isolation space to obtain and utilize resources; Among them, the acquisition of the plant resource competition ability includes: By using a portable photosynthesis measuring instrument to measure the amount of carbon dioxide absorbed by the leaves under light conditions in the historical period and the amount of water transpired by the leaves per unit time, the photosynthesis rate is calculated based on the measured amount of carbon dioxide absorbed. The calculation formula is as follows: ; Among them, P n is the net photosynthesis rate (μmolCO2 / m² / s), V is the gas flow rate (mol / s), and A is the leaf area (m²); The higher the transpiration rate, the stronger the plant's ability to absorb water. Based on the water transpiration data measured by the instrument, combined with the leaf area and the measurement time, the transpiration rate is calculated. The calculation formula is as follows: Tr = (Hin - Hout) × V × 1000 / A; Among them, Tr is the transpiration rate (mmolH2O / m² / s), where Hin and Hout are the water vapor concentrations (mmol / mol) at the inlet and outlet of the leaf chamber respectively, V is the gas flow rate (mol / s), and A is the leaf area (m²); The photosynthetic transpiration ratio (PTR) of the plant is calculated by taking the ratio of the photosynthesis rate to the transpiration rate of the plant. The higher the photosynthetic transpiration ratio, the more effectively the plant can use water resources for photosynthesis, thus gaining an advantage in resource competition and having stronger resource competition ability; The acquisition of animal resource competition ability includes: Statistical analysis of the breeding data of the animal population in the historical period shows that the average number of offspring per litter is n, the number of breeding times per year is m, and the survival rate of cubs is s. Then the breeding ability index can be constructed ; By using the GPS tracking technology to mark the activity range of animals in the historical period, then calculating the total area of the unit areas occupied by each animal, and dividing it by the total area of the ecological isolation space, the habitat occupancy rate O of the animal is obtained; Set the weight of the habitat occupancy rate as , and the weight of the breeding ability index as , and , then the comprehensive index C of the animal's resource competitiveness is: ; The process of obtaining the quantity of each species includes: By the quadrat method, within the ecological isolation space, according to the vegetation distribution characteristics and spatial heterogeneity, the area is divided into several appropriately sized quadrats. For herbaceous plants, the quadrat area is usually about 1 square meter; for shrubs, the quadrat may need to be expanded to 0 - 100 square meters; for trees, it may require several hundred square meters. During the investigation, information such as the individual number and species of each plant within each quadrat needs to be recorded. Finally, by statistically analyzing the quadrat data, the number of plants within the entire ecological isolation space is estimated; By the infrared camera detection method, within the ecological isolation space, according to the animal's activity paths and habitat distributions, infrared cameras are reasonably arranged. The cameras can automatically sense the body temperature and movement of animals and take photos or videos for recording. By analyzing the images captured by the cameras, the animal species and individual characteristics are identified, and then the animal numbers are counted; The calculation process of the resource competition value and quantity proportion value of each species includes: Add up the photosynthetic transpiration ratios of each plant within the ecological isolation space to obtain the total photosynthetic transpiration ratio of plants. Calculate the ratio of each plant's photosynthetic transpiration ratio to the total photosynthetic transpiration ratio to obtain the resource competition value of each plant; Add up the comprehensive source competitiveness indices of each animal within the ecological isolation space to obtain the total comprehensive source competitiveness index of animals. Calculate the ratio of each animal's comprehensive source competitiveness index to the total comprehensive source competitiveness index to obtain the resource competition value of each animal; Add up the numbers of each plant within the ecological isolation space to obtain the total number of plants. Calculate the ratio of the number of each plant to the total number of plants to obtain the quantity proportion value of plants; Add up the numbers of each animal within the ecological isolation space to obtain the total number of animals. Calculate the ratio of the number of each animal to the total number of animals to obtain the quantity proportion value of animals; Species classification module: Obtain the ecological comprehensive value based on the resource competition value and quantity proportion value of each species. Classify the species within the ecological isolation space into dominant species and other species according to the ecological comprehensive value; The calculation process of the ecological comprehensive value of each species includes: Add up the resource competition value and quantity proportion value of each species to obtain the ecological comprehensive value of each species; It is understandable that the physical meaning represented by the ecological comprehensive value is as follows: The ecological comprehensive value formed by adding the source competition value and the quantity proportion value is a quantitative manifestation of the comprehensive status and influence of a species in the ecological isolation space. Among them, the resource competition value reflects the strength of the species' ability to acquire and utilize resources. The larger the resource competition value, the stronger the species' ability to acquire resources in the ecological isolation space. The quantity proportion value reflects the relative scale of the species' population quantity in the ecological isolation space. The larger the quantity proportion of a species, the higher the proportion of its individual quantity in the entire ecosystem, and the greater its role in the stability and functional operation of the ecosystem; Set a threshold, compare the ecological comprehensive value of each species with the threshold. If the ecological comprehensive value of a species is greater than the threshold, classify the species as a dominant species. If the ecological comprehensive value of a species is less than the threshold, classify the species as other species; Among them, the threshold of the ecological comprehensive value can be set by long-term monitoring and analysis of the resource competition value and the quantity proportion value of the dominant species that have been recognized in this ecosystem, and calculating their average value. This average value can be used as the threshold of the ecological comprehensive value. For example: In a mature temperate forest ecosystem, after years of research, some dominant tree species such as oak and beech are determined. Calculate their ecological comprehensive values and take the average value. This average value can be used as the threshold to judge whether other species in this forest are dominant species.

[0026] Interference judgment module: By analyzing the quantity changes of dominant species and other species, calculate the ecological interference index, compare it with the set threshold, and judge whether the dominant species will cause interference to other species; The calculation process of the ecological interference index includes: Divide the historical period into several small time periods. Analyze the quantity changes of dominant species and other species in each small time period, construct a function of the quantity of dominant species and other species changing with time, and calculate the ecological interference index according to the function. The ecological interference index is an inverse proportional parameter, which reflects the impact of the increase in the quantity of dominant species on the decrease in the quantity of other species; The process of judging whether the dominant species will cause interference to other species includes: If within a small time period, the ecological interference index is greater than or equal to the threshold, mark this small time period as an interference time period; Among them, the threshold of the ecological interference index can be obtained by long-term monitoring of the quantity changes of species in the ecosystem, obtaining the law of the quantity of species changing with time and the fluctuation range of the ecological interference index. The maximum value of the ecological interference index when the ecosystem does not show obvious abnormalities or the ecological balance is not broken in the long-term monitoring data can be used as the threshold. This can ensure that potential problems can be discovered by comparing with the threshold before the ecosystem shows perceptible changes.

[0027] Count the number of interference time periods, calculate the ratio of the number of interference time periods to the total number of small time periods to obtain the proportion of interference time periods; Based on the interference time periods, integrate the ecological interference indices corresponding to the interference time periods into an ecological interference index sequence; Calculate the coefficient of variation of the interference index sequence, and perform a difference operation on the proportion of interference time periods and the coefficient of variation to obtain the species interference evaluation value; Among them, the coefficient of variation is obtained by calculating the ratio between the standard deviation and the mean of the ecological interference index sequence; Compare the species interference evaluation value with the species interference evaluation threshold; If the species interference evaluation value is greater than or equal to the species interference evaluation threshold, it indicates that the dominant species will cause growth interference to other species; If the species interference evaluation value is less than the species interference evaluation threshold, it indicates that the dominant species will not cause growth interference to other species; Among them, the threshold of the species interference evaluation value can be obtained by collecting relevant data within the historical cycle of the ecosystem, including information such as changes in the number of species, ecological interference indices, and changes in the structure and function of the ecosystem. Identify the key nodes where obvious changes in the ecosystem structure, impairment of functions, or significant impacts on other species occurred in the past, and use the corresponding species interference evaluation value as the threshold. For example: When the dominant species reproduced in large numbers in a certain period in the past, resulting in a sharp decline in the number of other species and the stability of the ecosystem being damaged, the species interference evaluation value at this time can be used as the threshold.

[0028] It can be understood that the physical meaning of the species interference evaluation value is as follows: By performing a difference operation on the proportion of interference time periods and the coefficient of variation, the species interference evaluation value is obtained. Among them, the proportion of interference time periods reflects the inverse proportional growth relationship between the dominant species and other species in terms of growth quantity. The larger the proportion of interference time periods, the higher the possibility that the dominant species will cause growth interference to other species. The coefficient of variation reflects the fluctuation stability of the ecological interference index corresponding to the interference time periods. The smaller the coefficient of variation, the higher the stability of the ecological interference index, indicating the higher the stability of the inverse proportional growth between the dominant species and other species, and thus the higher the possibility that the dominant species will cause growth interference to other species; Data regulation module: If the dominant species causes interference to other species, according to the inverse proportional influence relationship between the dominant species and other species, regulate the quantities of the dominant species and other species to keep the ecosystem in balance; The inverse proportional influence relationship between the dominant species and other species is the ratio of the influence of the change in the quantity of the dominant species on the change in the quantity of common species to the influence of the change in the quantity of common species on the change in the quantity of the dominant species. The calculation process includes: Divide the historical period into n small time segments. For the i-th small time segment, calculate the change in the number of dominant species , and the change in the number of other species ; Calculate the influence ratio of the change in the number of dominant species on the change in the number of other species (when ), which represents the change in the number of other species when the number of dominant species changes by one unit within the i-th small time segment; Calculate the influence ratio of the change in the number of other species on the change in the number of dominant species (when ), which represents the change in the number of dominant species when the number of other species changes by one unit within the i-th small time segment; Calculate the average value within all small time segments , and the formula is . Calculate the average value within all small time segments , and the formula is . Finally, obtain the inverse proportional influence relationship ratio between the dominant species and the common species as , where n is the total number of small time segments; Adjust the ratio of the dominant species to other species from x:y to x1:y1 according to the inverse proportional influence relationship z1:z2. Adjust the number of dominant species by ∆x. According to the inverse proportional influence relationship, other species will change by . The adjusted ratio should satisfy . Calculate and obtain the number of dominant species to be adjusted as ; Adjust the numbers of the dominant species and the common species according to the calculated ∆x and ∆y. According to the inverse proportional relationship, initially set an adjustment amount ∆x, calculate the number of common species after adjustment, and calculate the corresponding adjustment amount of the dominant species according to the inverse proportional relationship, gradually approaching the target ratio; If one adjustment fails to reach the target ratio, calculate the next adjustment amount according to the magnitude of the difference and the inverse proportional influence relationship, and repeat the adjustment process. During the adjustment process, continuously monitor the change in the ratio of the dominant species to the common species, and make fine adjustments according to the actual situation to ensure that the final ratio is close to or reaches x1:y1; The above shows and describes the basic principles, main features, and advantages of the present invention. Those skilled in the art should understand that the present invention is not limited by the above embodiments. What is described in the above embodiments and the specification only illustrates the principles of the present invention. Without departing from the spirit and scope of the present invention, the present invention will have various changes and improvements, and these changes and improvements all fall within the scope of the present invention claimed. The scope of protection claimed by the present invention is defined by the appended claims and their equivalents.

Claims

1. An ecological optimization decision-making assistance method for an ecological isolation space based on big data, characterized in that: Including: Step 1: Obtain the resource competitiveness data of each species in the ecological isolation space during the historical period and the quantity of each species, and calculate the resource competition value and quantity proportion value of each species; Step 2: Obtain the ecological comprehensive value through the resource competition value and quantity proportion value of each species, and classify the species in the ecological isolation space into dominant species and other species according to the ecological comprehensive value; Step 3: Calculate the ecological interference index by analyzing the quantity changes of dominant species and other species, and determine whether the dominant species will interfere with other species; Step 4: If the dominant species will interfere with other species, regulate the quantities of the dominant species and other species according to the inverse proportional influence relationship between the dominant species and other species to keep the ecosystem in balance.

2. A method for assisting ecological optimization decision-making in an ecological isolation space based on big data according to claim 1, characterized in that: The calculation process of the resource competition value and quantity proportion value of each species includes: For plant species, calculate the ratio of the photosynthetic transpiration ratio of each plant in the ecological isolation space to the total photosynthetic transpiration ratio to obtain the resource competition value of each plant; Calculate the ratio of the quantity of each plant in the ecological isolation space to the total quantity of plants to obtain the quantity proportion value of the plants; For animal species, calculate the ratio of the comprehensive index of resource competitiveness of each animal in the ecological isolation space to the total comprehensive index of source competitiveness to obtain the resource competition value of each animal; Calculate the ratio of the quantity of each animal in the ecological isolation space to the total quantity of animals to obtain the quantity proportion value of the animals.

3. A method for assisting ecological optimization decision-making in an ecological isolation space based on big data according to claim 2, characterized in that: The calculation method of the photosynthetic transpiration ratio of the plants is: Measure the carbon dioxide absorption amount of the leaves under light conditions during the historical period and the water transpiration amount of the leaves per unit time by using a portable photosynthesis measuring instrument; Calculate the photosynthesis rate according to the measured carbon dioxide absorption amount, combined with the gas flow and leaf area; Calculate the transpiration rate according to the measured water transpiration amount, combined with the leaf area and measurement time; Calculate the ratio of the photosynthesis rate and transpiration rate of the plants to obtain the photosynthetic transpiration ratio of the plants.

4. A method for assisting ecological optimization decision-making in an ecological isolation space based on big data according to claim 2, characterized in that: The calculation method of the comprehensive index of resource competitiveness of the animals is: Statistically analyze the historical reproduction data of the animal population, and construct a reproduction ability index according to the obtained average number of offspring per litter, annual reproduction times and survival rate of cubs; Divide the total area of the unit areas occupied by each animal by the total area of the ecological isolation space to obtain the habitat occupancy rate of the animals; Comprehensively calculate the reproduction ability index and habitat occupancy rate of the animals to obtain the comprehensive index of resource competitiveness of the animals.

5. A method for assisting ecological optimization decision-making in an ecological isolation space based on big data according to claim 1, characterized in that: The method of classifying the species in the ecological isolation space into dominant species and other species includes: Add the resource competition value and the quantity ratio value of each species to obtain the ecological comprehensive value of each species; Compare the ecological comprehensive value of each species with the threshold value; Classify the species with ecological comprehensive value greater than the threshold value as dominant species; Classify the species with ecological comprehensive value less than the threshold value as other species.

6. A method for assisting ecological optimization decision-making of ecological isolation space based on big data according to claim 1, characterized in that: The process of judging whether the dominant species will interfere with other species is as follows: Divide the historical period into several small time periods, and mark the small time periods with ecological interference index greater than or equal to the threshold value as interference time periods; Count the number of interference time periods, and calculate the ratio of the number of interference time periods to the total number of small time periods to obtain the ratio of interference time periods; Calculate the coefficient of variation, and obtain the species interference evaluation value by subtracting the ratio of interference time periods from the coefficient of variation; Compare the species interference evaluation value with the species interference evaluation threshold value; If the species interference evaluation value is greater than or equal to the species interference evaluation threshold value, it means that the dominant species will cause growth interference to other species; If the species interference evaluation value is less than the species interference evaluation threshold value, it means that the dominant species will not cause growth interference to other species.

7. A method for assisting ecological optimization decision-making of ecological isolation space based on big data according to claim 6, characterized in that: The calculation process of the coefficient of variation includes: Integrate the ecological interference indexes corresponding to the interference time periods into an ecological interference index sequence; Calculate the ratio of the standard deviation to the mean of the ecological interference index sequence to obtain the coefficient of variation.

8. A method for assisting ecological optimization decision-making of ecological isolation space based on big data according to claim 1, characterized in that: The process of regulating the quantities of the dominant species and other species includes: According to the inverse proportional influence relationship, calculate the adjustment amounts that need to be adjusted for the dominant species and other species through the current ratio of the dominant species and other species.

9. A method for assisting ecological optimization decision-making of ecological isolation space based on big data according to claim 8, characterized in that: The calculation process of the inverse proportional influence relationship includes: Divide the historical period into several small time periods, and for each small time period, calculate the change amount of the quantity of the dominant species and the change amount of the quantity of other species; Calculate the influence ratio z1 of the change in the quantity of the dominant species on the change in the quantity of other species and the influence ratio z2 of the change in the quantity of other species on the change in the quantity of the dominant species; Calculate the means of z1 and z2 within all small time periods, and finally obtain that the proportional relationship of the inverse proportional impact between the dominant species and the common species is .

10. A system for assisting ecological optimization decision-making of ecological isolation space based on big data, characterized in that: Data acquisition and basic calculation module: Acquire the resource competitiveness data of each species in the ecological isolation space during the historical period and the quantities of each species, and calculate the resource competition value and the quantity ratio value of each species; Species classification module: Obtain the ecological comprehensive value through the resource competition value and the quantity ratio value of each species, and classify the species in the ecological isolation space into dominant species and other species according to the ecological comprehensive value; Interference judgment module: Calculate the ecological interference index by analyzing the quantity changes of the dominant species and other species, and judge whether the dominant species will interfere with other species; Quantity regulation module: If the dominant species causes interference to other species, according to the inverse proportional impact relationship between the dominant species and other species, regulate the quantities of the dominant species and other species to keep the ecosystem in balance.

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