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

Abstract

The present invention belongs to the field of ecological optimization technology. The present invention provides an ecological optimization decision-making assistance method and system for ecological isolation space based on big data, including: obtaining the resource competition value and quantity proportion value in the ecological isolation space to comprehensively obtain the ecological comprehensive value, dividing the species in the ecological isolation space into dominant species and other species by comparing the ecological comprehensive value with the threshold, judging whether the dominant species will interfere with other species, and obtaining the inverse proportional influence relationship between the dominant species and other species by analyzing the changes in the quantity of the dominant species and other species. According to the inverse proportional influence relationship between the dominant species and other species, the quantity of the dominant species and other species is regulated, which solves the problem of excessive focus on the protection and restoration of dominant species in the ecological optimization process, which causes ecological interference of the dominant species on other species, and can effectively maintain the stability and health of the ecosystem.

Description

Technical Field

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

[0002] Existing technologies for determining whether dominant species interfere with other species and for ecosystem regulation present numerous challenges. For example, they lack precise quantitative indicators and analytical methods for determining whether dominant species interfere with other species. These methods may rely solely on simple observation or qualitative analysis, failing to consider the functional relationship between species abundance and time, and the resulting quantitative indicators, such as the ecological interference index. This leads to inaccurate assessments of interspecies interference relationships. Regarding ecosystem regulation, existing technologies may lack scientific evidence and precise methods, making it difficult to determine appropriate adjustments to species abundance. This can lead to poor regulatory effectiveness and an inability to effectively maintain ecosystem balance.

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

[0004] In order to make up for the deficiencies of the prior art, at least one technical problem raised in the background technology is solved.

[0005] The technical solution adopted by the present invention to solve its technical problem is:

[0006] Step 1: Obtain the resource competitiveness data and population of each species in the ecological isolation space during the historical period, and calculate the resource competitiveness value and population proportion of each species;

[0007] Step 2: Calculate the ecological comprehensive value through the resource competition value and population proportion of each species, and divide the species in the ecological isolation space into dominant species and other species according to the ecological comprehensive value;

[0008] Step 3: Calculate the ecological interference index by analyzing the changes in the number of dominant species and other species to determine whether the dominant species will interfere with other species;

[0009] Step 4: If the dominant species interferes with other species, the number of the dominant species and other species should be regulated based on the inverse proportional impact relationship between the dominant species and other species to keep the ecosystem balanced.

[0010] Furthermore, the calculation process of the resource competition value and the quantity proportion value of each species includes:

[0011] For plant species, the photosynthetic transpiration ratio of each plant in the ecological isolation space is calculated in proportion to the total photosynthetic transpiration ratio to obtain the resource competition value of each plant;

[0012] Calculate the ratio of the number of each plant in the ecological isolation space to the total number of plants to obtain the plant population ratio;

[0013] For animal species, the resource competitiveness comprehensive index of each animal in the ecological isolation space is proportional to the total resource competitiveness comprehensive index to obtain the resource competition value of each animal;

[0014] Calculate the ratio of the number of each animal in the ecological isolation space to the total number of animals to obtain the proportion of the animal population.

[0015] Furthermore, the photosynthesis and transpiration ratio of the plant is calculated as follows:

[0016] By using a portable photosynthetic meter to measure the carbon dioxide absorption of leaves under light conditions in historical cycles and the water transpiration of leaves per unit time;

[0017] The photosynthesis rate was calculated based on the measured carbon dioxide absorption, combined with the gas flow rate and leaf area;

[0018] The transpiration rate is calculated based on the measured water transpiration amount, combined with the leaf area and measurement time;

[0019] The photosynthesis and transpiration rates of plants are calculated by comparing them to obtain the photosynthesis and transpiration ratio of plants.

[0020] Furthermore, the comprehensive index of resource competitiveness of the animal is calculated as follows:

[0021] Statistical analysis of historical reproductive data of animal populations to construct a reproductive capacity index based on the average litter size, number of reproductions per year, and pup survival rate;

[0022] The total area of ​​the unit area occupied by each animal is divided by the total area of ​​the ecological isolation space to obtain the animal's habitat occupancy rate;

[0023] The comprehensive index of animal resource competitiveness is obtained by comprehensively calculating the animal's reproductive capacity index and habitat occupancy rate.

[0024] Furthermore, the method of dividing the species in the ecological isolation space into dominant species and other species includes:

[0025] Add up the resource competition value and population proportion of each species to obtain the ecological comprehensive value of each species;

[0026] Compare the ecological composite value of each species with the threshold value;

[0027] If the species' ecological composite value is greater than the threshold, the species is classified as a dominant species;

[0028] If the ecological comprehensive value of a species is less than the threshold, the species is classified as other species.

[0029] Furthermore, the process of determining whether a dominant species will interfere with other species is as follows:

[0030] The historical period is divided into several small time periods, and the small time periods with ecological disturbance index greater than or equal to the threshold are marked as disturbance time periods;

[0031] 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, and obtain the proportion of interference time periods;

[0032] The coefficient of variation was calculated, and the species disturbance assessment value was obtained by subtracting the proportion of the disturbance time period from the coefficient of variation.

[0033] Comparing species disturbance assessment values ​​to species disturbance assessment thresholds;

[0034] If the species interference assessment value is greater than or equal to the species interference assessment threshold, it means that the dominant species will interfere with the growth of other species;

[0035] If the species interference assessment value is less than the species interference assessment threshold, it means that the dominant species will not interfere with the growth of other species.

[0036] Furthermore, the calculation process of the coefficient of variation includes:

[0037] The ecological disturbance indexes corresponding to the disturbance time period are integrated into an ecological disturbance index sequence;

[0038] The coefficient of variation was obtained by proportionally calculating the standard deviation and mean of the ecological disturbance index series.

[0039] Furthermore, the process of regulating the number of dominant species and other species includes:

[0040] According to the inverse proportional influence relationship, the adjustment amount required for the dominant species and other species is calculated by the current ratio of the dominant species to other species;

[0041] Proportional calculation is performed on the numbers of the adjusted dominant species and other species to obtain a new ratio;

[0042] A final ratio is obtained by continuously adjusting the number of dominant species and other species.

[0043] Furthermore, the calculation process of the inverse proportional influence relationship includes:

[0044] Divide the historical period into several small time periods, and for each small time period, calculate the change in the number of dominant species and the change in the number of other species;

[0045] Calculate the ratio z1 of the effect of the change in the number of dominant species on the change in the number of other species, and the ratio z2 of the effect of the change in the number of other species on the change in the number of dominant species;

[0046] Calculate the mean of z1 and z2 in all small time periods, and finally get the inverse proportional influence relationship between dominant species and common species: .

[0047] An ecological optimization decision-making support system for ecological isolation space based on big data, including the following modules:

[0048] 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 period, and calculate the resource competition value and population proportion of each species;

[0049] Species classification module: The ecological comprehensive value is calculated based on the resource competition value and the number proportion of each species. The species in the ecological isolation space are divided into dominant species and other species according to the ecological comprehensive value;

[0050] Interference judgment module: By analyzing the changes in the number of dominant species and other species, the ecological interference index is calculated to determine whether the dominant species will interfere with other species;

[0051] Quantity control module: If a dominant species interferes with other species, the quantity of the dominant species and other species will be regulated based on the inverse proportional impact relationship between the dominant species and other species to keep the ecosystem balanced.

[0052] The beneficial effects of the present invention are as follows: by dividing the species in the ecological isolation space into dominant species and other species, and by analyzing the changes in the number of dominant species and other species, it is judged whether the dominant species will interfere with other species, and according to the inverse proportional influence relationship between the dominant species and other species, the number of dominant species and other species is regulated, thereby solving the problem of excessive focus on the protection and restoration of dominant species in the process of ecological optimization, which leads to ecological interference caused by dominant species to other species, and can effectively maintain the stability and health of the ecosystem. BRIEF DESCRIPTION OF THE DRAWINGS

[0053] The present invention will be further described below with reference to the accompanying drawings.

[0054] Figure 1 This is a flowchart of the steps of an ecological optimization decision-making assistance method for ecological isolation space based on big data according to an embodiment of the present invention;

[0055] Figure 2 This is a flowchart of an ecological optimization decision support system for ecological isolation space based on big data as described in an embodiment of the present invention. DETAILED DESCRIPTION

[0056] In order to make the technical means, creative features, objectives and effects achieved by the present invention easier to understand, the present invention is further described below in conjunction with specific implementation methods.

[0057] Example 1, please refer to Figure 1 As shown, the embodiment of the present invention provides an ecological isolation space ecological optimization decision-making assistance method based on big data, including the following steps:

[0058] Step 1: Obtain the resource competitiveness data and population of each species in the ecological isolation space during the historical period, and calculate the resource competitiveness value and population proportion of each species;

[0059] In step 1, the resource competitiveness of each species refers to the ability of species in the ecological isolation space to obtain and utilize resources;

[0060] Among them, the acquisition of plant resource competitiveness includes:

[0061] By using a portable photosynthetic meter to measure the amount of carbon dioxide absorbed by the leaves under the light conditions in the historical cycle and the amount of water transpiration per unit time, the photosynthesis rate is calculated based on the measured carbon dioxide absorption. The calculation formula is: Among them, 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);

[0062] The higher the transpiration rate, the stronger the plant's ability to absorb water. The transpiration rate is calculated based on the water transpiration data measured by the instrument, combined with the leaf area and measurement time. The calculation formula is:

[0063] Tr = (Hin − Hout) × V × 1000 / A;

[0064] Where Tr is the transpiration rate (mmolH2O / m² / s), Hin and Hout are the water vapor concentrations at the inlet and outlet of the leaf chamber, respectively (mmol / mol), V is the gas flow rate (mol / s), and A is the leaf area (m²);

[0065] The photosynthesis-transpiration ratio (PTR) of a plant is calculated by comparing its photosynthesis rate to its transpiration rate. The higher the PTR, the more efficiently the plant can utilize water resources for photosynthesis, thus gaining an advantage in resource competition and having a stronger resource competitiveness.

[0066] The acquisition of animal resource competitiveness includes:

[0067] Statistical analysis of the historical reproduction data of animal populations shows that the average number of litters per litter is n, the number of reproductions per year is m, and the survival rate of cubs is s. The reproductive capacity index can then be constructed. ;

[0068] The activity ranges of animals in historical periods were marked using GPS tracking technology. The total area of ​​the unit areas occupied by each animal was calculated and then divided by the total area of ​​the ecological isolation space to obtain the habitat occupancy rate O of the animal.

[0069] The weight of habitat occupancy is set to , the weight of the reproductive capacity index is ,and , then the comprehensive index C of animal resource competitiveness is:

[0070] ;

[0071] In step one, the process of obtaining the number of each species includes: using sampling methods, within the ecological isolation space, the area is divided into several appropriately sized plots based on the vegetation distribution characteristics and spatial heterogeneity. For herbaceous plants, the plot area is usually about 1 square meter; for shrubs, the plot may need to be expanded to 0-100 square meters; and for trees, several hundred square meters may be required. During the survey, it is necessary to record the number of individuals, species, and other information of each plant in each plot, and finally, through statistical analysis of the plot data, the number of plants in the entire ecological isolation space is estimated;

[0072] Using infrared camera detection, infrared cameras are strategically placed within ecologically isolated spaces based on the animals' activity paths and habitat distribution. The cameras automatically sense the animals' body temperature and movement, taking photos or videos. By analyzing the images captured by the cameras, the animal species and individual characteristics can be identified, allowing for animal population counts.

[0073] In step 1, the process of calculating the resource competition value and population proportion of each species includes:

[0074] The photosynthetic transpiration ratios of each plant in the ecological isolation space are added together to obtain the total photosynthetic transpiration ratio of the plants. The photosynthetic transpiration ratio of each plant is proportional to the total photosynthetic transpiration ratio to obtain the resource competition value of each plant.

[0075] The comprehensive index of resource competitiveness of each animal in the ecological isolation space is added together to obtain the overall comprehensive index of resource competitiveness of the animal. The comprehensive index of resource competitiveness of each animal is proportional to the overall comprehensive index of resource competitiveness to obtain the resource competition value of each animal.

[0076] Add up the number of each plant in the ecological isolation space to get the total number of plants, and calculate the ratio of the number of each plant to the total number of plants to get the plant population ratio;

[0077] Add up the number of each animal in the ecological isolation space to get the total number of animals, and calculate the ratio of the number of each animal to the total number of animals to get the animal population proportion;

[0078] Step 2: Calculate the ecological comprehensive value through the resource competition value and population proportion of each species, and divide the species in the ecological isolation space into dominant species and other species according to the ecological comprehensive value;

[0079] In step 2, the calculation process of the ecological comprehensive value of each species includes:

[0080] Add up the resource competition value and population proportion of each species to obtain the ecological comprehensive value of each species;

[0081] It can be understood that the physical meaning of the ecological comprehensive value is: the ecological comprehensive value formed by adding the resource competition value and the population proportion value is a quantitative reflection of the comprehensive status and influence of species in the ecological isolation space. Among them, the resource competition value reflects the ability of species to obtain and utilize resources. The larger the resource competition value, the stronger the ability of species to obtain resources in the ecological isolation space. The population proportion value reflects the relative size of the species population in the ecological isolation space. The larger the population proportion of a species, the higher the proportion of its individuals in the entire ecosystem, and the greater its impact on the stability and functional operation of the ecosystem.

[0082] Set a threshold and compare the ecological comprehensive value of each species with the threshold. If the ecological comprehensive value of a species is greater than the threshold, the species is classified as a dominant species. If the ecological comprehensive value of a species is less than the threshold, the species is classified as other species.

[0083] The threshold for the ecological composite value can be set by long-term monitoring and analysis of the resource competition value and population proportion of recognized dominant species in the ecosystem, calculating the average value, and using this average value as the threshold for the ecological composite value. For example, in a mature temperate forest ecosystem, after years of research, a number of dominant tree species, such as oak and beech, have been identified. By calculating their ecological composite values ​​and taking the average value, this average value can serve as the threshold for determining whether other species in the forest are dominant.

[0084] Step 3: Calculate the ecological interference index by analyzing the changes in the number of dominant species and other species to determine whether the dominant species will interfere with other species;

[0085] In step 3, the calculation process of the ecological interference index includes:

[0086] The historical period was divided into several small time periods. The changes in the number of dominant species and other species were analyzed in each small time period. A function of the changes in the number of dominant species and other species over time was constructed. The ecological disturbance index was calculated based on the function. The ecological disturbance index is an inversely proportional parameter that reflects the impact of the increase in the number of dominant species on the decrease in the number of other species.

[0087] In step 3, the process of determining whether the dominant species will interfere with other species includes:

[0088] If the ecological interference index is greater than or equal to the threshold value in a small time period, the small time period is marked as a interference period;

[0089] The threshold of the ecological disturbance index can be determined by monitoring the long-term changes in the number of species in the ecosystem, obtaining the temporal patterns of species population changes and the fluctuation range of the ecological disturbance index. The maximum value of the ecological disturbance index in the long-term monitoring data, when the ecosystem does not show obvious abnormalities or the ecological balance is not disrupted, can be used as the threshold. This ensures that potential problems can be discovered by comparing with the threshold before any noticeable changes in the ecosystem occur.

[0090] 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, and obtain the proportion of interference time periods;

[0091] Based on the disturbance time period, the ecological disturbance index corresponding to the disturbance time period is integrated into an ecological disturbance index series;

[0092] Calculate the coefficient of variation of the interference index series, perform difference processing on the proportion of interference time periods and the coefficient of variation to obtain the species interference assessment value;

[0093] Among them, the coefficient of variation is obtained by calculating the ratio between the standard deviation and the mean of the ecological disturbance index series;

[0094] Comparing species disturbance assessment values ​​to species disturbance assessment thresholds;

[0095] If the species interference assessment value is greater than or equal to the species interference assessment threshold, it means that the dominant species will interfere with the growth of other species;

[0096] If the species interference assessment value is less than the species interference assessment threshold, it means that the dominant species will not interfere with the growth of other species;

[0097] The threshold for the species interference assessment value can be determined by collecting relevant data from the historical cycle of the ecosystem, including changes in species populations, ecological interference indices, and changes in ecosystem structure and function. This can identify key points where significant changes in ecosystem structure, impairment of function, or significant impacts on other species have occurred in the past, and the corresponding species interference assessment value can be used as the threshold. For example, if a dominant species reproduced rapidly during a certain period in the past, causing a sharp decline in the populations of other species and disrupting the stability of the ecosystem, the species interference assessment value at that time can be used as the threshold.

[0098] It can be understood that the physical meaning of the species interference assessment value is: the species interference assessment value is obtained by performing difference processing on the proportion of the interference time period and the coefficient of variation, wherein the proportion of the interference time period reflects the situation in which the dominant species and other species grow in inverse proportion to each other in terms of growth quantity. The larger the proportion of the interference time period, the higher the possibility that the dominant species will interfere with the growth of 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, reflecting the higher the stability of the inverse proportional growth between the dominant species and other species, thereby reflecting the higher possibility that the dominant species will interfere with the growth of other species.

[0099] For example, assume that in a certain ecological isolation space, the past 12 months (historical period) are divided into 12 small time periods (each month is a time period);

[0100] Assume that the function of the number of dominant species changing with time is (obtained through data fitting), the function of the total number of other species changing over time is ;

[0101] The calculation formula of the ecological interference index EII is set as: ,in represents the number function of dominant species, represents the number function of other species;

[0102] For dominant species: , for other species: ,but , taking the third month as an example (t=3): , ;

[0103] Assume that the threshold of ecological disturbance index is set to 1.2, because , so the third month is the interference period;

[0104] Count the number of interference periods of dominant species in the historical period. Assuming that there are 8 interference periods for dominant species, namely February, March, April, May, June, July, August and September, the proportion of interference periods = ;

[0105] The obtained ecological interference index sequence is {EII2, EII3, EII4, EII5, EII6, EII7, EII8, EII9}, i.e., {1.24, 1.51, 1.91, 2.45, 3.16, 4.07, 5.22, 6.67};

[0106] Calculate the mean : ;

[0107] Calculate the standard deviation: ;

[0108] Calculate the coefficient of variation CV: ;

[0109] Calculate the species interference assessment value: species interference assessment value = interference time period ratio - coefficient of variation = 0.67 - 0.57 = 0.1;

[0110] Assume that the species interference assessment threshold is set to 0.05, because the species interference assessment value , so it means that dominant species will interfere with the growth of other species.

[0111] Step 4: If the dominant species interferes with other species, the numbers of the dominant species and other species should be regulated based on the inversely proportional relationship between the dominant species and other species to maintain the balance of the ecosystem;

[0112] In step 4, the inverse proportional impact relationship between the dominant species and other species is the ratio of the impact of the change in the number of dominant species on the change in the number of common species to the impact of the change in the number of common species on the change in the number of dominant species. The calculation process includes:

[0113] Divide the historical period into n small time periods, and for the i-th small time period, calculate the change in the number of dominant species , the change in the number of other species ;

[0114] Calculate the proportion of the impact of changes in the number of dominant species on changes in the number of other species (when ), which means the change in the number of other species when the number of dominant species changes by one unit in the i-th time period;

[0115] Calculate the proportion of changes in the number of other species that affect changes in the number of dominant species (when ), represents the change in the number of dominant species when the number of other species changes by one unit in the i-th small time period;

[0116] Calculate all small time periods Average value , the formula is , calculate all small time periods Average value , the formula is Finally, the inverse proportional influence relationship between dominant species and common species is obtained as , where n is the total number of small time periods;

[0117] According to the inverse proportional influence relationship z1:z2, the ratio of the dominant species to other species is adjusted from x:y to x1:y1, and the number of the dominant species is adjusted to ∆x. According to the inverse proportional influence relationship, the other species will change , the adjusted ratio should satisfy , the number of adjusted dominant species is calculated to be ;

[0118] Adjust the numbers of dominant and common species based on the calculated ∆x and ∆y. Initially set an adjustment value ∆x based on the inverse proportional relationship. Calculate the number of common species after the adjustment, and then calculate the corresponding adjustment value for dominant species based on the inverse proportional relationship, gradually approaching the target ratio.

[0119] If one adjustment fails to reach the target ratio, the next adjustment amount will be calculated based on the difference size and the inverse proportional influence relationship, and the adjustment process will be repeated. During the adjustment process, the changes in the ratio of dominant species to common species will be continuously monitored, and fine-tuning will be made according to the actual situation to ensure that the final ratio is close to or reaches x1:y1;

[0120] For example, assume that in a freshwater lake ecological isolation space, the inverse proportional relationship between cyanobacteria (dominant species) and Daphnia (other species) has been determined to be z1:z2 = 4:1. The current population ratio of cyanobacteria to Daphnia is x:y = 800:200 (unit: 10,000 / m2). To maintain the health and stability of the lake ecosystem, the target ratio is set to x1:y1 = 400:600.

[0121] The first calculation of the adjustment amount ∆x is based on the formula , Substitute x=800, y=200, z1=4, z2=1, x1=400, y1=600 into the equation and calculate , reducing the number of cyanobacteria by 1.82 million / cubic meter. At this time, the number of cyanobacteria becomes 800-182=6.18 million / cubic meter. According to the inverse proportional relationship, the change in the number of Daphnia is Ten thousand per cubic meter, the adjusted ratio is 618:928, which is still different from the target ratio of 400:600;

[0122] Calculate the adjustment amount for the second time, using the adjusted ratio of 618:928 as the new starting ratio, recalculate the adjustment amount ∆x, and substitute it into the formula Since the ∆x value is small, the number of cyanobacteria is reduced by 10,000 / m3. At this time, the number of cyanobacteria becomes 618-1=6.17 million / m3, and the change in the number of Daphnia is Ten thousand Daphnia per cubic meter, the number of Daphnia becomes 928 + 4 = 9.32 million Daphnia per cubic meter, and the ratio is 617:932, which is closer to the target ratio.

[0123] Continuing with the above method, based on the current ratio, the adjustment amount for each adjustment was calculated according to the inverse proportional relationship, gradually adjusting the cyanobacteria and Daphnia populations. During the adjustment process, the cyanobacteria and Daphnia populations were monitored every three days to calculate the actual ratio. If the ratio changed significantly after a particular adjustment, the adjustment amount could be appropriately reduced; if the change was too small, the adjustment amount could be appropriately increased. After several adjustments, the cyanobacteria population stabilized at 4.05 million per cubic meter, and the Daphnia population stabilized at 6.08 million per cubic meter, a ratio of 405:608, close to the target ratio of 400:600, achieving the desired effect of ecological regulation.

[0124] The technical solutions and benefits of the embodiments of the present application are:

[0125] Obtain the resource competitiveness data and the number of each species in the ecological isolation space in the historical period, calculate the resource competition value and number proportion of each species, and obtain the ecological comprehensive value through the resource competition value and number proportion of each species. Compare the ecological comprehensive value with the threshold, divide the species in the ecological isolation space into dominant species and other species, calculate the ecological interference index by analyzing the changes in the number of dominant species and other species, and compare it with the set threshold to judge whether the dominant species will interfere with other species. If the dominant species will interfere with other species, regulate the number of dominant species and other species according to the inverse proportional influence relationship between the dominant species and other species to keep the ecosystem balanced. This application divides the species in the ecological isolation space into dominant species and other species, and judges whether the dominant species will interfere with other species by analyzing the changes in the number of dominant species and other species. According to the inverse proportional influence relationship between the dominant species and other species, regulate the number of dominant species and other species, thereby solving the problem of excessive focus on the protection and restoration of dominant species in the process of ecological optimization, which leads to ecological interference caused by dominant species to other species, and can effectively maintain the stability and health of the ecosystem.

[0126] Example 2, please refer to Figure 2As shown, the embodiment of the present invention provides a big data-based reproductive isolation space ecological optimization decision support system, including:

[0127] 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 period, and calculate the resource competition value and population proportion of each species;

[0128] The resource competitiveness of each species refers to the ability of species in ecological isolation space to obtain and utilize resources;

[0129] Among them, the acquisition of plant resource competitiveness includes:

[0130] By using a portable photosynthetic meter to measure the amount of carbon dioxide absorbed by the leaves under the light conditions in the historical cycle and the amount of water transpiration per unit time, the photosynthesis rate is calculated based on the measured carbon dioxide absorption. The calculation formula is:

[0131] ;

[0132] Among them, 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);

[0133] The higher the transpiration rate, the stronger the plant's ability to absorb water. The transpiration rate is calculated based on the water transpiration data measured by the instrument, combined with the leaf area and measurement time. The calculation formula is:

[0134] Tr = (Hin − Hout) × V × 1000 / A;

[0135] Where Tr is the transpiration rate (mmolH2O / m² / s), Hin and Hout are the water vapor concentrations at the inlet and outlet of the leaf chamber, respectively (mmol / mol), V is the gas flow rate (mol / s), and A is the leaf area (m²);

[0136] The photosynthesis-transpiration ratio (PTR) of a plant is calculated by comparing its photosynthesis rate to its transpiration rate. The higher the PTR, the more efficiently the plant can utilize water resources for photosynthesis, thus gaining an advantage in resource competition and having a stronger resource competitiveness.

[0137] The acquisition of animal resource competitiveness includes:

[0138] Statistical analysis of the reproduction data of animal populations in the historical period shows that the average number of litters per litter is n, the number of reproductions per year is m, and the survival rate of cubs is s. The reproductive capacity index can be constructed. ;

[0139] The activity ranges of animals in historical periods were marked using GPS tracking technology. The total area of ​​the unit areas occupied by each animal was calculated and then divided by the total area of ​​the ecological isolation space to obtain the habitat occupancy rate O of the animal.

[0140] The weight of habitat occupancy is set to , the weight of the reproductive capacity index is ,and , then the comprehensive index C of animal resource competitiveness is:

[0141] ;

[0142] The process of obtaining the number of each species includes:

[0143] Through sampling methods, within the ecological isolation space, the area is divided into several appropriately sized sample plots based on the vegetation distribution characteristics and spatial heterogeneity. For herbaceous plants, the sample plot area is usually about 1 square meter; for shrubs, the sample plot may need to be expanded to 0-100 square meters; and for trees, it may require several hundred square meters. During the survey, it is necessary to record the number of individuals, species, and other information of each plant in each sample plot. Finally, through statistical analysis of the sample plot data, the number of plants in the entire ecological isolation space can be estimated;

[0144] Using infrared camera detection, infrared cameras are strategically placed within ecologically isolated spaces based on the animals' activity paths and habitat distribution. The cameras automatically sense the animals' body temperature and movement, taking photos or videos. By analyzing the images captured by the cameras, the animal species and individual characteristics can be identified, allowing for animal population counts.

[0145] The calculation process of the resource competition value and quantity proportion value of each species includes:

[0146] The photosynthetic transpiration ratios of each plant in the ecological isolation space are added together to obtain the total photosynthetic transpiration ratio of the plants. The photosynthetic transpiration ratio of each plant is proportional to the total photosynthetic transpiration ratio to obtain the resource competition value of each plant.

[0147] The comprehensive index of resource competitiveness of each animal in the ecological isolation space is added together to obtain the overall comprehensive index of resource competitiveness of the animal. The comprehensive index of resource competitiveness of each animal is proportional to the overall comprehensive index of resource competitiveness to obtain the resource competition value of each animal.

[0148] Add up the number of each plant in the ecological isolation space to get the total number of plants, and calculate the ratio of the number of each plant to the total number of plants to get the plant population ratio;

[0149] Add up the number of each animal in the ecological isolation space to get the total number of animals, and calculate the ratio of the number of each animal to the total number of animals to get the animal population proportion;

[0150] Species classification module: The ecological comprehensive value is calculated based on the resource competition value and the number proportion of each species. The species in the ecological isolation space are divided into dominant species and other species according to the ecological comprehensive value;

[0151] The calculation process of the ecological comprehensive value of each species includes:

[0152] Add up the resource competition value and population proportion of each species to obtain the ecological comprehensive value of each species;

[0153] It can be understood that the physical meaning of the ecological comprehensive value is as follows: the ecological comprehensive value formed by adding the source competition value and the population proportion value is a quantitative reflection of the comprehensive status and influence of species in the ecological isolation space. Among them, the resource competition value reflects the ability of species to obtain and utilize resources. The larger the resource competition value, the stronger the ability of species to obtain resources in the ecological isolation space. The population proportion value reflects the relative size of the species population in the ecological isolation space. The larger the population proportion of a species, the higher the proportion of its individuals in the entire ecosystem, and the greater its impact on the stability and functional operation of the ecosystem.

[0154] Set a threshold and compare the ecological comprehensive value of each species with the threshold. If the ecological comprehensive value of a species is greater than the threshold, the species is classified as a dominant species. If the ecological comprehensive value of a species is less than the threshold, the species is classified as other species.

[0155] The threshold for the ecological composite value can be set by long-term monitoring and analysis of the resource competition value and population proportion of recognized dominant species in the ecosystem, calculating the average value, and using this average value as the threshold for the ecological composite value. For example, in a mature temperate forest ecosystem, after years of research, a number of dominant tree species, such as oak and beech, have been identified. By calculating their ecological composite values ​​and taking the average value, this average value can serve as the threshold for determining whether other species in the forest are dominant.

[0156] Interference judgment module: By analyzing the changes in the number of dominant species and other species, the ecological interference index is calculated and compared with the set threshold to determine whether the dominant species will interfere with other species;

[0157] The calculation process of the ecological disturbance index includes:

[0158] The historical period was divided into several small time periods. The changes in the number of dominant species and other species were analyzed in each small time period. A function of the changes in the number of dominant species and other species over time was constructed. The ecological disturbance index was calculated based on the function. The ecological disturbance index is an inversely proportional parameter that reflects the impact of the increase in the number of dominant species on the decrease in the number of other species.

[0159] The process of determining whether a dominant species will interfere with other species includes:

[0160] If the ecological interference index is greater than or equal to the threshold value in a small time period, the small time period is marked as a interference period;

[0161] The threshold of the ecological disturbance index can be determined by monitoring the long-term changes in the number of species in the ecosystem, obtaining the temporal patterns of species population changes and the fluctuation range of the ecological disturbance index. The maximum value of the ecological disturbance index in the long-term monitoring data, when the ecosystem does not show obvious abnormalities or the ecological balance is not disrupted, can be used as the threshold. This ensures that potential problems can be discovered by comparing with the threshold before any noticeable changes in the ecosystem occur.

[0162] 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, and obtain the proportion of interference time periods;

[0163] Based on the disturbance time period, the ecological disturbance index corresponding to the disturbance time period is integrated into an ecological disturbance index series;

[0164] Calculate the coefficient of variation of the interference index series, perform difference processing on the proportion of interference time periods and the coefficient of variation to obtain the species interference assessment value;

[0165] Among them, the coefficient of variation is obtained by calculating the ratio between the standard deviation and the mean of the ecological disturbance index series;

[0166] Comparing species disturbance assessment values ​​to species disturbance assessment thresholds;

[0167] If the species interference assessment value is greater than or equal to the species interference assessment threshold, it means that the dominant species will interfere with the growth of other species;

[0168] If the species interference assessment value is less than the species interference assessment threshold, it means that the dominant species will not interfere with the growth of other species;

[0169] The threshold for the species interference assessment value can be determined by collecting relevant data from the historical cycle of the ecosystem, including changes in species populations, ecological interference indices, and changes in ecosystem structure and function. This can identify key points where significant changes in ecosystem structure, impairment of function, or significant impacts on other species have occurred in the past, and the corresponding species interference assessment value can be used as the threshold. For example, if a dominant species reproduced rapidly during a certain period in the past, causing a sharp decline in the populations of other species and disrupting the stability of the ecosystem, the species interference assessment value at that time can be used as the threshold.

[0170] It can be understood that the physical meaning of the species interference assessment value is: the species interference assessment value is obtained by performing difference processing on the proportion of the interference time period and the coefficient of variation, wherein the proportion of the interference time period reflects the situation in which the dominant species and other species grow in inverse proportion to each other in terms of growth quantity. The larger the proportion of the interference time period, the higher the possibility that the dominant species will interfere with the growth of 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, reflecting the higher the stability of the inverse proportional growth between the dominant species and other species, thereby reflecting the higher possibility that the dominant species will interfere with the growth of other species.

[0171] Data Control Module: If a dominant species interferes with other species, the number of the dominant species and other species will be regulated based on the inverse proportional impact relationship between the dominant species and other species to maintain the balance of the ecosystem;

[0172] The inverse proportional relationship between the dominant species and other species is the ratio of the effect of the change in the number of dominant species on the change in the number of common species to the effect of the change in the number of common species on the change in the number of dominant species. The calculation process includes:

[0173] Divide the historical period into n small time periods, and for the i-th small time period, calculate the change in the number of dominant species , the change in the number of other species ;

[0174] Calculate the proportion of the impact of changes in the number of dominant species on changes in the number of other species (when ), which means the change in the number of other species when the number of dominant species changes by one unit in the i-th time period;

[0175] Calculate the proportion of changes in the number of other species that affect changes in the number of dominant species (when ), represents the change in the number of dominant species when the number of other species changes by one unit in the i-th small time period;

[0176] Calculate all small time periods Average value , the formula is , calculate all small time periods Average value , the formula is Finally, the inverse proportional influence relationship between dominant species and common species is obtained as , where n is the total number of small time periods;

[0177] According to the inverse proportional influence relationship z1:z2, the ratio of the dominant species to other species is adjusted from x:y to x1:y1, and the number of the dominant species is adjusted to ∆x. According to the inverse proportional influence relationship, the other species will change , the adjusted ratio should satisfy , the number of adjusted dominant species is calculated to be ;

[0178] Adjust the numbers of dominant and common species based on the calculated ∆x and ∆y. Initially set an adjustment value ∆x based on the inverse proportional relationship. Calculate the number of common species after the adjustment, and then calculate the corresponding adjustment value for dominant species based on the inverse proportional relationship, gradually approaching the target ratio.

[0179] If one adjustment fails to reach the target ratio, the next adjustment amount will be calculated based on the difference size and the inverse proportional influence relationship, and the adjustment process will be repeated. During the adjustment process, the changes in the ratio of dominant species to common species will be continuously monitored, and fine-tuning will be made according to the actual situation to ensure that the final ratio is close to or reaches x1:y1;

[0180] The basic principles, main features, and advantages of the present invention are shown and described above. Those skilled in the art should understand that the present invention is not limited to the foregoing embodiments. The foregoing embodiments and descriptions are merely illustrative of the principles of the present invention. Various changes and modifications may be made to the present invention without departing from the spirit and scope of the present invention. Such changes and modifications are intended to fall within the scope of the present invention. The scope of protection claimed in the present invention is defined by the appended claims and their equivalents.

Claims

1. A big data-based ecological isolation space ecological optimization decision-making assistance method, characterized by: include: Step 1: Obtain the resource competitiveness data and population of each species in the ecological isolation space during the historical period, and calculate the resource competitiveness value and population proportion of each species; The resource contention value is obtained as follows: For plant species, the photosynthetic transpiration ratio of each plant in the ecological isolation space is calculated in proportion to the total photosynthetic transpiration ratio to obtain the resource competition value of each plant; For animal species, the resource competitiveness comprehensive index of each animal in the ecological isolation space is proportional to the total resource competitiveness comprehensive index to obtain the resource competition value of each animal; Step 2: Calculate the ecological comprehensive value through the resource competition value and population proportion of each species, and divide the species in the ecological isolation space into dominant species and other species according to the ecological comprehensive value; The methods for dividing species in ecological isolation spaces into dominant species and other species include: Add up the resource competition value and population proportion of each species to obtain the ecological comprehensive value of each species; Compare the ecological composite value of each species with the threshold value; Species with ecological comprehensive values ​​greater than the threshold are classified as dominant species; Species with ecological composite values ​​less than the threshold are classified as other species; Step 3: Calculate the ecological interference index by analyzing the changes in the number of dominant species and other species to determine whether the dominant species will interfere with other species; The calculation process of the ecological disturbance index includes: Divide the historical cycle into several small time periods, analyze the changes in the number of dominant species and other species in each small time period, construct a function of the change in the number of dominant species and other species over time, and calculate the ecological interference index based on the function. The ecological interference index is an inverse proportional parameter; The process of determining whether a dominant species will interfere with other species is as follows: The historical period is divided into several small time periods, and the small time periods with ecological disturbance index greater than or equal to the threshold are marked as disturbance time periods; 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, and obtain the proportion of interference time periods; The coefficient of variation was calculated, and the species disturbance assessment value was obtained by subtracting the proportion of the disturbance time period from the coefficient of variation. The calculation process of the coefficient of variation includes: The ecological disturbance indexes corresponding to the disturbance time period are integrated into an ecological disturbance index sequence; The coefficient of variation was obtained by proportionally calculating the standard deviation and mean of the ecological disturbance index series; Comparing species disturbance assessment values ​​to species disturbance assessment thresholds; If the species interference assessment value is greater than or equal to the species interference assessment threshold, it means that the dominant species will interfere with the growth of other species; If the species interference assessment value is less than the species interference assessment threshold, it means that the dominant species will not interfere with the growth of other species; Step 4: If the dominant species interferes with other species, the number of the dominant species and other species should be regulated based on the inverse proportional impact relationship between the dominant species and other species to keep the ecosystem balanced.

2. The big data-based ecological isolation space ecological optimization decision-making assistance method according to claim 1 is characterized by: The calculation process of the quantity proportion of each species includes: Calculate the ratio of the number of each plant in the ecological isolation space to the total number of plants to obtain the plant population ratio; Calculate the ratio of the number of each animal in the ecological isolation space to the total number of animals to obtain the proportion of the animal population.

3. The big data-based ecological isolation space ecological optimization decision-making assistance method according to claim 2 is characterized by: The photosynthetic transpiration ratio of the plant is calculated as follows: By using a portable photosynthetic meter to measure the carbon dioxide absorption of leaves under light conditions in historical cycles and the water transpiration of leaves per unit time; The photosynthesis rate was calculated based on the measured carbon dioxide absorption, combined with the gas flow rate and leaf area; The transpiration rate is calculated based on the measured water transpiration amount, combined with the leaf area and measurement time; The photosynthesis and transpiration rates of plants are calculated by comparing them to obtain the photosynthesis and transpiration ratio of plants.

4. The big data-based ecological isolation space ecological optimization decision-making assistance method according to claim 2 is characterized by: The calculation method of the comprehensive index of resource competitiveness of the animals is: Statistical analysis of historical reproductive data of animal populations to construct a reproductive capacity index based on the average litter size, number of reproductions per year, and pup survival rate; The total area of ​​the unit area occupied by each animal is divided by the total area of ​​the ecological isolation space to obtain the animal's habitat occupancy rate; The comprehensive index of animal resource competitiveness is obtained by comprehensively calculating the animal's reproductive capacity index and habitat occupancy rate.

5. The big data-based ecological isolation space ecological optimization decision-making assistance method according to claim 4 is characterized by: The process of regulating the number of dominant species and other species includes: According to the inverse proportional influence relationship, the adjustment amount required for the dominant species and other species is calculated through the current proportion of the dominant species and other species.

6. The big data-based ecological isolation space ecological optimization decision-making assistance method according to claim 5 is characterized by: 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 in the number of dominant species and the change in the number of other species; Calculate the ratio z1 of the effect of the change in the number of dominant species on the change in the number of other species, and the ratio z2 of the effect of the change in the number of other species on the change in the number of dominant species; Calculate the mean of z1 and z2 in all small time periods, and finally get the inverse proportional influence relationship between dominant species and common species: .

7. A big data-based ecological isolation space ecological optimization decision support system, characterized by: include: 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 period, and calculate the resource competition value and population proportion of each species; The resource contention value is obtained as follows: For plant species, the photosynthetic transpiration ratio of each plant in the ecological isolation space is calculated in proportion to the total photosynthetic transpiration ratio to obtain the resource competition value of each plant; For animal species, the resource competitiveness comprehensive index of each animal in the ecological isolation space is proportional to the total resource competitiveness comprehensive index to obtain the resource competition value of each animal; Species classification module: The ecological comprehensive value is calculated based on the resource competition value and the number proportion of each species. The species in the ecological isolation space are divided into dominant species and other species according to the ecological comprehensive value; The methods for dividing species in ecological isolation spaces into dominant species and other species include: Add up the resource competition value and population proportion of each species to obtain the ecological comprehensive value of each species; Compare the ecological composite value of each species with the threshold value; Species with ecological comprehensive values ​​greater than the threshold are classified as dominant species; Species with ecological composite values ​​less than the threshold are classified as other species; Interference judgment module: By analyzing the changes in the number of dominant species and other species, the ecological interference index is calculated to determine whether the dominant species will interfere with other species; The calculation process of the ecological disturbance index includes: Divide the historical cycle into several small time periods, analyze the changes in the number of dominant species and other species in each small time period, construct a function of the change in the number of dominant species and other species over time, and calculate the ecological interference index based on the function. The ecological interference index is an inverse proportional parameter; The process of determining whether a dominant species will interfere with other species is as follows: The historical period is divided into several small time periods, and the small time periods with ecological disturbance index greater than or equal to the threshold are marked as disturbance time periods; 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, and obtain the proportion of interference time periods; The coefficient of variation was calculated, and the species disturbance assessment value was obtained by subtracting the proportion of the disturbance time period from the coefficient of variation. The calculation process of the coefficient of variation includes: The ecological disturbance indexes corresponding to the disturbance time period are integrated into an ecological disturbance index sequence; The coefficient of variation was obtained by proportionally calculating the standard deviation and mean of the ecological disturbance index series; Comparing species disturbance assessment values ​​to species disturbance assessment thresholds; If the species interference assessment value is greater than or equal to the species interference assessment threshold, it means that the dominant species will interfere with the growth of other species; If the species interference assessment value is less than the species interference assessment threshold, it means that the dominant species will not interfere with the growth of other species; Quantity control module: If a dominant species interferes with other species, the quantity of the dominant species and other species will be regulated based on the inverse proportional impact relationship between the dominant species and other species to keep the ecosystem balanced.

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