Dynamic evaluation system of biodiversity resource response mechanism

Abstract

The invention discloses a dynamic evaluation system for a biodiversity resource response mechanism, and relates to the technical field of biological resources. A target enterprise resource monitoring region is divided into sub-regions through a biological resource evaluation value analysis module; and obtaining a species diversity adaptation value, a genetic diversity adaptation value, an ecosystem diversity adaptation value and an inter-organism mutual adaptation value of each sub-region adjacent to the historical cycle. The multi-dimensional analysis mode can comprehensively and deeply reflect various aspects of biodiversity, limitation of single index evaluation is avoided, the set mode determination module determines the biodiversity level of the sub-region according to the resource evaluation value of each sub-region adjacent to the historical period, and then the collection mode corresponding to each sub-region in the current period is formulated. According to the personalized acquisition strategy, the acquisition intensity and method can be reasonably adjusted according to the biodiversity conditions of different sub-regions.

Description

Technical Field

[0001] The present invention relates to the field of biological resource technology, and in particular to a dynamic evaluation system for a biological diversity resource response mechanism. Background Art

[0002] As society pays more and more attention to environmental protection, corporate environmental responsibility has become an important part of its sustainable development. More and more companies are aware of the impact of their activities on the ecological environment, including biodiversity. Companies need a scientific and dynamic assessment system to manage and improve their impact on biodiversity. Therefore, a dynamic assessment system for biodiversity resource response mechanism is needed.

[0003] Existing technologies usually do not determine personalized collection methods based on the biodiversity levels of different regions. This may lead to excessive interference or damage to sensitive areas with high biodiversity and relatively fragile ecosystems during resource collection, while insufficient collection may be carried out in areas with low biodiversity, making it impossible to fully utilize resources and achieving a balance between resource utilization and biodiversity conservation. Obviously, this construction method has at least the following problems: 1. Existing technologies are difficult to customize collection methods based on the distribution of resources in various regions, and different ecosystems have their own unique functions. Wetlands can purify water quality and regulate floods, while forests can maintain water and soil and regulate climate. Unreasonable collection methods will destroy the functions of these ecosystems. For example, excessive collection of plants such as reeds in wetlands may destroy the filtering and purification functions of wetlands and lead to water quality deterioration. Excessive exploitation of timber in mountain forests will weaken the function of forests to conserve water sources, increase the risk of soil erosion, and further affect the ecological environment and water resource utilization downstream. In the case of uneven resource distribution, failure to customize the collection method based on the actual situation of resources may lead to resource waste. For example, in some areas, there may be excessive collection of a certain resource, which may be more abundant or easier to obtain in other areas. At the same time, unreasonable collection in some low-resource areas may only obtain a small amount of useful resources, but cause great damage to the local ecosystem. This is an inefficient way of resource utilization. The unreasonable distribution and collection of resources will cause a series of social problems. Local communities may rely on certain natural resources for their livelihoods. Excessive or unreasonable collection may deprive them of their source of livelihood and lead to increased social conflicts. For example, fishermen lose their income due to the depletion of fishery resources caused by overfishing, which may cause social instability. In addition, if some resources with cultural value are destroyed due to unreasonable collection, it will also have a negative impact on local cultural heritage.

[0004] 2. Existing technologies often focus on a single dimension or a few indicators to evaluate biodiversity, such as only paying attention to the number of species, the area of habitats, etc., while lacking a comprehensive consideration of multiple dimensions such as the species diversity adaptation value, the genetic diversity adaptation value, the ecosystem diversity adaptation value, and the biotic interaction adaptation value. This may lead to an incomplete evaluation of biodiversity, being unable to accurately reflect the true situation and changing trends of the ecosystem, ignoring the internal connections and interactions among the components of biodiversity. Most existing evaluation technologies are phased or one-time, lacking the ability to conduct long-term and dynamic monitoring of biodiversity. Unlike a dynamic evaluation system, it cannot conduct continuous evaluations at different time nodes such as the immediate historical period and the current period, and compare and analyze the changes in biodiversity resources in each sub-region, making it difficult to capture the minor changes and short-term fluctuations in biodiversity in a timely manner, thus missing the best opportunity for early intervention and protection 1. Summary of the Invention

[0005] Aiming at the above-mentioned technical deficiencies, the purpose of the present invention is to provide a dynamic evaluation system for the biodiversity resource response mechanism.

[0006] To solve the above technical problems, the present invention adopts the following technical solutions: The present invention provides a dynamic evaluation system for the biodiversity resource response mechanism, including:

[0007] Biological resource evaluation value analysis module: used to divide the resource monitoring area of the target enterprise into several sub-regions, so as to obtain the species diversity adaptation value, genetic diversity adaptation value, ecosystem diversity adaptation value, and biotic interaction adaptation value corresponding to each sub-region in the immediate historical period, and then analyze and obtain the resource evaluation value corresponding to each sub-region in the immediate historical period;

[0008] Collection method determination module: used to evaluate the sub-region biodiversity level corresponding to each sub-region in the immediate historical period according to the resource evaluation value corresponding to each sub-region in the immediate historical period, and then determine the collection method corresponding to each sub-region in the current period, and collect each sub-region in the current period according to the determined collection method;

[0009] Multi-data combination analysis module: used to obtain the resource change data corresponding to each sub-region in the current period after the resource data of each sub-region of the target enterprise in the current period is collected according to the determined collection method. The resource change data includes the change rate of the species diversity adaptation value, the change rate of the genetic diversity adaptation value, the change rate of the ecosystem diversity adaptation value, and the change rate of the biotic interaction adaptation value;

[0010] Regional biological resources assessment module: It is used to analyze the resource improvement assessment values corresponding to each sub-region in the current period based on the resource change data corresponding to each sub-region in the current period, and then evaluate whether the biological resources corresponding to each sub-region in the current period have been improved. If the biological resources corresponding to a certain sub-region in the current period have not been improved, a warning prompt will be given.

[0011] Preferably, the obtaining of the species diversity adaptation value, genetic diversity adaptation value, biological interaction adaptation value, and ecosystem diversity adaptation value corresponding to each sub-region in the immediately adjacent historical period is as follows:

[0012] A1. Obtain the species richness, number of endemic species, and proportion of rare and endangered species corresponding to each sub-region in the immediately adjacent historical period, and input the species richness, number of endemic species, and proportion of rare and endangered species corresponding to each sub-region in the immediately adjacent historical period into the species diversity analysis model to output the species diversity adaptation value corresponding to each sub-region in the immediately adjacent historical period;

[0013] A2. Obtain the allele richness, gene diversity index, and genetic differentiation coefficient corresponding to each sub-region in the immediately adjacent historical period, and input the allele richness, gene diversity index, and genetic differentiation coefficient corresponding to each sub-region in the immediately adjacent historical period into the species diversity analysis model to output the genetic diversity adaptation value corresponding to each sub-region in the immediately adjacent historical period;

[0014] A3. Obtain the number of ecosystem types and ecosystem productivity corresponding to each sub-region in the immediately adjacent historical period, and input the number of ecosystem types and ecosystem productivity corresponding to each sub-region in the immediately adjacent historical period into the ecosystem diversity analysis model to output the ecosystem diversity adaptation value corresponding to each sub-region in the immediately adjacent historical period;

[0015] A4. Obtain the food web connectivity, interspecific competition intensity, and symbiotic relationship frequency corresponding to each sub-region in the immediately adjacent historical period, and input the food web connectivity, interspecific competition intensity, and symbiotic relationship frequency corresponding to each sub-region in the immediately adjacent historical period into the biological interaction analysis model to output the biological interaction adaptation value corresponding to each sub-region in the immediately adjacent historical period.

[0016] Preferably, the analysis of obtaining the resource assessment values corresponding to each sub-region in the immediately adjacent historical period is as follows:

[0017] Let the species diversity adaptation value, genetic diversity adaptation value, ecosystem diversity adaptation value, and biological interaction adaptation value corresponding to each sub-region in the immediately adjacent historical period be denoted as Z k 、V k 、S k and N k, where k represents the number corresponding to each sub-region, and k is a positive integer. Substitute it into the calculation formula:

[0018] to obtain the resource evaluation values corresponding to each sub-region adjacent to the historical period Among them, are respectively the set standard species diversity adaptation value, standard genetic diversity adaptation value, standard ecosystem diversity adaptation value, and standard biotic interaction adaptation value corresponding to the sub-region, and η 1 , η 2 , η 3 , η 4 are respectively the weight factors corresponding to the species diversity adaptation value, genetic diversity adaptation value, ecosystem diversity adaptation value, and biotic interaction adaptation value of the set sub-region.

[0019] Preferably, the sub-region biodiversity level corresponding to each sub-region adjacent to the historical period is evaluated, and the specific analysis process is as follows:

[0020] Compare the resource evaluation values corresponding to each sub-region adjacent to the historical period with the resource evaluation value intervals corresponding to the set sub-region biodiversity levels. If the resource evaluation value corresponding to a certain sub-region adjacent to the historical period is within the resource evaluation value interval corresponding to a certain sub-region biodiversity level, then record the sub-region biodiversity level as the sub-region biodiversity level corresponding to this sub-region adjacent to the historical period. In this way, evaluate the sub-region biodiversity levels corresponding to each sub-region adjacent to the historical period.

[0021] Preferably, the collection method corresponding to each sub-region in the current period is determined, and the specific analysis process is as follows:

[0022] B1. If the biodiversity level of a certain sub-region adjacent to the historical period is the low sub-region biodiversity level, then in the current period, the grid layout collection method is adopted for this sub-region, with 3 to 5 collection and monitoring points set per square kilometer. For biological populations, focus on monitoring the individual number, age structure, and reproductive status of species. For plants, record the number of plants, coverage area, and growth stage; for animals, use the mark-recapture method and infrared camera monitoring method to count the individual number, observe the reproductive behavior and the number of juveniles during the reproductive cycle, and monitor environmental factors, including soil humidity, temperature, nutrient content, as well as the pH value and dissolved oxygen of the water body. At the same time, conduct at least four comprehensive surveys every year, respectively in the four quarters.

[0023] B2. If the biodiversity level of a sub-region in the immediate historical period is the medium sub-region biodiversity level, then in the current period, a combination of multiple survey methods is adopted for this sub-region. For plants, quadrats are set in different habitats. The quadrat size for arbor forests is 10m×10m, for shrub forests is 5m×5m, and for herbaceous vegetation is 1m×1m. The types, quantities, heights, coverage, etc. of plants in the quadrats are counted. For animals, the line transect method, point count method, and trapping method are used. In mountain forests, a 1 - 2 km line transect is set, and a collection point is set every 500 m to count the types and quantities of animals passing through the line transect and points. Traps are set in grasslands and wetlands to capture small invertebrates and amphibians. At the same time, at least two comprehensive surveys are conducted each year, in spring and autumn respectively.

[0024] B3. If the biodiversity level of a sub-region in the immediate historical period is the high sub-region biodiversity level, then in the current period, a non-destructive collection method is adopted for this sub-region, only collecting some branches, leaves or fruits, and the collection amount does not exceed 10% - 20% of its biomass. For collectable animals, the method of limited collection after marking is adopted, and the collection amount does not exceed 5% of its biomass. For a certain collectable fish species, the fishing collection amount does not exceed 30% of its annual growth.

[0025] Preferably, the process of specifically analyzing and obtaining the resource change data corresponding to each sub-region in the current period is as follows:

[0026] Obtain the species diversity adaptation value, genetic diversity adaptation value, ecosystem diversity adaptation value, and biotic interaction adaptation value corresponding to each sub-region in the current period, and based on the species diversity adaptation value, genetic diversity adaptation value, ecosystem diversity adaptation value, and biotic interaction adaptation value corresponding to each sub-region in the immediate historical period, analyze and obtain the change rates of the species diversity adaptation value, genetic diversity adaptation value, ecosystem diversity adaptation value, and biotic interaction adaptation value corresponding to each sub-region in the current period.

[0027] Preferably, the process of specifically evaluating whether the biological resources corresponding to each sub-region in the current period are improved is as follows:

[0028] Input the change rates of the species diversity adaptation value, genetic diversity adaptation value, ecosystem diversity adaptation value, and biotic interaction adaptation value corresponding to each sub-region in the current period into the resource improvement evaluation value evaluation model, and output the resource improvement evaluation value results corresponding to each sub-region in the current period;

[0029] The resource improvement evaluation value results include the values of 1 and -1. When the resource improvement evaluation value result corresponding to a certain sub-region in the current period is 1, it is evaluated that the biological resources corresponding to this sub-region in the current period have been improved. On the contrary, when the resource improvement evaluation value result corresponding to a certain sub-region in the current period is -1, it is evaluated that the biological resources corresponding to this sub-region in the current period have not been improved.

[0030] Preferably, the expression of the resource improvement evaluation value evaluation model is: In the formula, θ k represents the resource improvement evaluation value result corresponding to the k-th sub-region in the current period, ψ k represents the resource improvement evaluation value corresponding to the k-th sub-region in the current period, ψ′ is the set threshold of the resource improvement evaluation value, k represents the number corresponding to each sub-region, and k is a positive integer;

[0031] Let the change rates of the species diversity adaptation value, genetic diversity adaptation value, ecosystem diversity adaptation value, and biological interaction adaptation value corresponding to each sub-region in the current period be denoted as W k , R k , H k and M k respectively, where k represents the number corresponding to each sub-region and k is a positive integer. Substitute them into the calculation formula:

[0032]

[0033] to obtain the resource improvement evaluation value χ k corresponding to each sub-region in the current period. Among them, W′, R′, H′, and M′ are the set standard change rates of the species diversity adaptation value, standard genetic diversity adaptation value, standard ecosystem diversity adaptation value, and standard biological interaction adaptation value corresponding to the sub-region respectively. υ 1 , υ 2 , υ 3 , υ 4 are the weight factors corresponding to the change rate of the species diversity adaptation value, genetic diversity adaptation value, ecosystem diversity adaptation value, and biological interaction adaptation value of the sub-region respectively. σ 1 , σ 2 , σ 3 , σ 4 are the adjustment factors corresponding to the change rate of the species diversity adaptation value, genetic diversity adaptation value, ecosystem diversity adaptation value, and biological interaction adaptation value of the sub-region respectively. e represents the natural constant.

[0034] The beneficial effects of the present invention are as follows: 1. In the embodiment of the present invention, through the biological resource evaluation value analysis module, the resource monitoring area of the target enterprise is divided into sub-regions, and the species diversity adaptation value, genetic diversity adaptation value, ecosystem diversity adaptation value, and biological interaction adaptation value of each sub-region in the adjacent historical period are obtained. This multi-dimensional analysis method can comprehensively and deeply reflect all aspects of biodiversity, avoiding the limitations of single-index evaluation. For example, not only can we understand the changes in the number of species, but also master the inter-species relationships and genetic-level changes, so as to accurately analyze the resource evaluation values corresponding to each sub-region in the adjacent historical period. Based on the comparison of the resource evaluation values in the current period and the adjacent historical period, the changing trend of biodiversity can be dynamically monitored. Enterprises can clearly see whether the biological resources in each sub-region are improving, deteriorating, or remaining stable, timely detect the subtle changes in biodiversity, and provide a basis for early intervention.

[0035] 2. In the embodiment of the present invention, the collection method determination module determines the biodiversity level of each sub-region based on the resource evaluation values of each sub-region in the adjacent historical period, and then formulates the corresponding collection method for each sub-region in the current period. This personalized collection strategy can reasonably adjust the collection intensity and method according to the biodiversity status of different sub-regions. For example, for sub-regions with low biodiversity, a relatively mild and simple collection method can be adopted to reduce the interference to the fragile ecosystem; while for sub-regions with high and stable biodiversity, more efficient collection can be carried out on the premise of ensuring that biodiversity is not damaged, which helps enterprises find a balance between resource utilization and biodiversity protection. Enterprises can meet their own development needs for resources while, through scientific collection methods, maximize the protection of biodiversity, avoid irreversible damage to biological resources caused by over-collection, and achieve sustainable development.

[0036] 3. In the embodiment of the present invention, when the regional biological resource evaluation module detects that the biological resources in a certain sub-region in the current period have not improved, the early warning prompt function can quickly send an alarm to the relevant departments of the enterprise. This enables the enterprise to take corresponding measures before the biodiversity problem deteriorates, such as adjusting business activities, strengthening protection measures, or carrying out ecological restoration work, which helps the enterprise fulfill its environmental responsibilities and actively participate in biodiversity protection. BRIEF DESCRIPTION OF THE DRAWINGS

[0037] In order to more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the following will briefly introduce the drawings required for the description of the embodiments or the prior art. Obviously, the following drawings are only some embodiments of the present invention. For those of ordinary skill in the art, without creative efforts, other drawings can also be obtained based on these drawings.

[0038] Figure 1 This is a schematic diagram of the connection of the system modules of the present invention. Specific embodiments

[0039] Next, the technical solutions in the embodiments of the present invention will be clearly and completely described in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without creative efforts shall fall within the protection scope of the present invention.

[0040] Embodiments of the present invention are as Figure 1 shown. A dynamic assessment system for a biodiversity resource response mechanism includes: a biological resource assessment value analysis module, a collection method determination module, a multi-data combination analysis module, and a regional biological resource assessment module.

[0041] The collection method determination module is respectively connected to the biological resource assessment value analysis module and the multi-data combination analysis module, and the regional biological resource assessment module is connected to the multi-data combination analysis module.

[0042] Biological resource assessment value analysis module: used to divide the resource monitoring area of the target enterprise into several sub-regions, so as to obtain the species diversity adaptation value, genetic diversity adaptation value, ecosystem diversity adaptation value, and biological interaction adaptation value corresponding to each sub-region in the adjacent historical period, and then analyze and obtain the resource assessment value corresponding to each sub-region in the adjacent historical period.

[0043] In a specific embodiment, the process of obtaining the species diversity adaptation value, genetic diversity adaptation value, biological interaction adaptation value, and ecosystem diversity adaptation value corresponding to each sub-region in the adjacent historical period is as follows:

[0044] A1. Obtain the species richness, number of endemic species, and proportion of rare and endangered species corresponding to each sub-region in the adjacent historical period, and input the species richness, number of endemic species, and proportion of rare and endangered species corresponding to each sub-region in the adjacent historical period into the species diversity analysis model, and output the species diversity adaptation value corresponding to each sub-region in the adjacent historical period;

[0045] It should be noted that field investigations are carried out to record the species in each sub-region. Statistical software (such as R, Python) is used to analyze the species data, calculate the species richness (number of species), number of endemic species (species found only in specific regions), and the proportion of rare and endangered species.

[0046] It should be noted that the analysis process of the species diversity adaptation values corresponding to each sub-region in the adjacent historical period is as follows: Normalize the species richness, the number of endemic species, and the proportion of rare and endangered species corresponding to each sub-region in the adjacent historical period, and denote the species richness, the number of endemic species, and the proportion of rare and endangered species corresponding to each sub-region in the adjacent historical period after processing as a k 、b k and c k , substitute them into the analysis formula ω k =a k *μ 1 +b k *μ 2 +c k *μ 3 , and obtain the species diversity adaptation values ω k corresponding to each sub-region in the adjacent historical period. μ 1 , μ 2 , μ 3 are the weight coefficients corresponding to the species richness of the sub-region, the weight coefficient corresponding to the number of endemic species, and the weight coefficient corresponding to the proportion of rare and endangered species respectively. Among them, k represents the number corresponding to each sub-region, and k is a positive integer.

[0047] A2. Obtain the allele richness, gene diversity index, and genetic differentiation coefficient corresponding to each sub-region in the adjacent historical period, and input the allele richness, gene diversity index, and genetic differentiation coefficient corresponding to each sub-region in the adjacent historical period into the species diversity analysis model to output the genetic diversity adaptation values corresponding to each sub-region in the adjacent historical period;

[0048] It should be noted that samples are collected in each sub-region for gene sequencing. Use bioinformatics tools (such as Arlequin, PopGene, etc.) to calculate the allele richness, gene diversity index (such as Shannon-Wiener index), and genetic differentiation coefficient (such as FST).

[0049] It should be noted that the analysis process of the genetic diversity adaptation values corresponding to each sub-region in the adjacent historical period is as follows: Normalize the allele richness, gene diversity index, and genetic differentiation coefficient corresponding to each sub-region in the adjacent historical period, and denote the allele richness, gene diversity index, and genetic differentiation coefficient corresponding to each sub-region in the adjacent historical period after processing as d k 、f k and g k , substitute them into the analysis formula ξ k =d k *ν 1 +f k *ν 2 +gk *ν 3 , obtain the genetic diversity adaptation values ξ corresponding to each sub-region in the immediately adjacent historical period k , ν 1 、ν 2 、ν 3 are respectively the weight coefficients corresponding to the allele richness of the set sub-regions, the weight coefficients corresponding to the gene diversity index, and the weight coefficients corresponding to the genetic differentiation coefficient. Among them, k represents the number corresponding to each sub-region, and k is a positive integer.

[0050] A3. Obtain the number of ecosystem types and ecosystem productivity corresponding to each sub-region in the immediately adjacent historical period, and input the number of ecosystem types and ecosystem productivity corresponding to each sub-region in the immediately adjacent historical period into the ecosystem diversity analysis model to output the ecosystem diversity adaptation values corresponding to each sub-region in the immediately adjacent historical period;

[0051] It should be noted that the GIS software (such as ArcGIS, QGIS) is used to analyze the ecosystem types and identify the number of different ecosystems. Remote sensing data (such as NDVI) or on-site measurements (such as biomass) are used to evaluate the productivity of the ecosystem.

[0052] It should be noted that the analysis process of the ecosystem diversity adaptation values corresponding to each sub-region in the immediately adjacent historical period is as follows: normalize the number of ecosystem types and ecosystem productivity corresponding to each sub-region in the immediately adjacent historical period, and record the number of ecosystem types and ecosystem productivity corresponding to each sub-region in the immediately adjacent historical period after processing as h k and y k , substitute them into the analysis formula ψ k = h k * ο 1 + y k * ο 2 , to obtain the ecosystem diversity adaptation values ψ corresponding to each sub-region in the immediately adjacent historical period k , ο 1 、ο 2 are respectively the weight coefficients corresponding to the number of ecosystem types of the set sub-regions and the weight coefficients corresponding to the ecosystem productivity. Among them, k represents the number corresponding to each sub-region, and k is a positive integer.

[0053] A4. Obtain the food web connectivity, interspecific competition intensity, and symbiotic relationship frequency corresponding to each sub-region in the immediately adjacent historical period, and input the food web connectivity, interspecific competition intensity, and symbiotic relationship frequency corresponding to each sub-region in the immediately adjacent historical period into the biotic interaction analysis model to output the biotic interaction adaptation values corresponding to each sub-region in the immediately adjacent historical period.

[0054] It should be noted that the food chain relationships of each species are recorded to construct a food web diagram. Each node represents a species, and the edge represents a predation relationship. Network analysis software (such as Gephi, Cytoscape) is used to calculate the connectivity. The connectivity can be obtained by calculating the number of connections of each species (i.e., the number of food chains it participates in). Calculation formula: Connectivity = Number of connections of the species / Total number of species. Data such as the density of competing species and resource utilization rate are recorded. Sample surveys can be used to regularly measure the growth rates and quantities of different species in the sample area, and then statistical methods such as correlation analysis and analysis of variance (ANOVA) are used to evaluate the intensity of interspecific competition. It can be quantified through competition coefficients (such as α and β) to analyze the degree of influence between species. An ecological survey is conducted in the target area to record the symbiotic relationships (such as mutualism, parasitism, etc.) between different species. Observation methods and sample collection methods can be used to calculate the frequency of symbiotic relationships, which is usually expressed as the ratio of the number of times the symbiotic relationship appears to the total number of observations. For example: Frequency of symbiotic relationship = Number of times the symbiotic relationship appears / Total number of observations.

[0055] It should be noted that the analysis process of the mutual adaptation value between organisms corresponding to each sub-region in the adjacent historical period is as follows: The food web connectivity, interspecific competition intensity, and symbiotic relationship frequency corresponding to each sub-region in the adjacent historical period are normalized, and the food web connectivity, interspecific competition intensity, and symbiotic relationship frequency corresponding to each sub-region in the adjacent historical period after processing are respectively denoted as q k 、w k and t k , and substituting them into the analysis formula ζ k =q k *π 1 +w k *π 2 +t k *π 3 , the mutual adaptation value ζ k corresponding to each sub-region in the adjacent historical period is obtained. π 1 、π 2 、π 3 are respectively the weight coefficients corresponding to the food web connectivity of the set sub-region, the weight coefficient corresponding to the interspecific competition intensity, and the weight coefficient corresponding to the symbiotic relationship frequency. Among them, k represents the number corresponding to each sub-region, and k is a positive integer.

[0056] In another specific embodiment, the resource evaluation values corresponding to each sub-region in the adjacent historical period obtained by the analysis are as follows:

[0057] The species diversity adaptation value, genetic diversity adaptation value, ecosystem diversity adaptation value, and mutual adaptation value between organisms corresponding to each sub-region in the adjacent historical period are respectively denoted as Z k 、Vk , S k and N k , where k represents the number corresponding to each sub-region, k is a positive integer, and substituting it into the calculation formula:

[0058] , the resource evaluation values corresponding to each sub-region adjacent to the historical period are obtained Among them, are respectively the standard species diversity adaptation value, standard genetic diversity adaptation value, standard ecosystem diversity adaptation value, and standard biotic interaction adaptation value corresponding to the set sub-region, η 1 , η 2 , η 3 , η 4 are respectively the weight factors corresponding to the species diversity adaptation value, genetic diversity adaptation value, ecosystem diversity adaptation value, and biotic interaction adaptation value of the set sub-region.

[0059] It should be noted that η 1 , η 2 , η 3 , η 4 are all greater than 0 and less than 1.

[0060] It should also be noted that through the summary of a large amount of research data and experimental data. According to the standard species diversity adaptation value, standard genetic diversity adaptation value, standard ecosystem diversity adaptation value, and standard biotic interaction adaptation value corresponding to the sub-region set by professional institutions and research institutions. At the same time, based on the professional knowledge and research basis of domain experts, and through discussion and confirmation with industry organizations or professional institutions. The weight factors corresponding to the species diversity adaptation value, genetic diversity adaptation value, ecosystem diversity adaptation value, and biotic interaction adaptation value of the sub-region are set by experts according to their own experience and knowledge.

[0061] Collection method determination module: used to evaluate the sub-region biodiversity level corresponding to each sub-region adjacent to the historical period according to the resource evaluation values corresponding to each sub-region adjacent to the historical period, and then determine the collection method corresponding to each sub-region in the current period, and collect each sub-region in the current period according to the determined collection method.

[0062] In a specific embodiment, the evaluation of the sub-region biodiversity level corresponding to each sub-region adjacent to the historical period, the specific analysis process is as follows:

[0063] Compare the resource evaluation values corresponding to each sub-region in the adjacent historical period with the resource evaluation value intervals corresponding to the biodiversity levels of each sub-region set. If the resource evaluation value corresponding to a certain sub-region in the adjacent historical period is within the resource evaluation value interval corresponding to the biodiversity level of a certain sub-region set, record the biodiversity level of this sub-region as the sub-region biodiversity level corresponding to this sub-region in the adjacent historical period. In this way, evaluate the sub-region biodiversity levels corresponding to each sub-region in the adjacent historical period.

[0064] In another specific embodiment, the process of determining the collection methods corresponding to each sub-region in the current period is as follows:

[0065] B1. If the biodiversity level of a certain sub-region in the adjacent historical period is the low sub-region biodiversity level, then in the current period, a grid-like layout collection method is adopted for this sub-region, with 3 to 5 collection and monitoring points set per square kilometer. For biological populations, focus on monitoring the individual number, age structure, and reproductive status of species. For plants, record the number of plants, coverage area, and growth stage. For animals, use the mark-recapture method and infrared camera monitoring method to count the individual number, observe the reproductive behavior and the number of juveniles during the reproductive cycle, and monitor environmental factors, including soil humidity, temperature, nutrient content, as well as the pH value and dissolved oxygen of water bodies. At the same time, conduct at least four comprehensive surveys per year, which are carried out in the four quarters respectively.

[0066] B2. If the biodiversity level of a certain sub-region in the adjacent historical period is the medium sub-region biodiversity level, then in the current period, a combination of various investigation methods is adopted for this sub-region. For plants, set quadrats in different habitats. The quadrat for arbor forests is 10m×10m, for shrub forests is 5m×5m, and for herbaceous vegetation is 1m×1m. Statistically analyze the types, quantities, heights, coverage, etc. of plants in the quadrats. For animals, use the line transect method, point count method, and trapping method. Set a 1 - 2 km line transect in mountain forests, and set a collection point every 500m to count the types and quantities of animals passing through the line transect and points. Set traps in grasslands and wetlands to capture small invertebrates and amphibians. At the same time, conduct at least two comprehensive surveys per year, which are carried out in spring and autumn respectively.

[0067] B3. If the biodiversity level of a certain sub-region in the adjacent historical period is the high sub-region biodiversity level, then in the current period, a non-destructive collection method is adopted for this sub-region, only collecting some branches, leaves or fruits, and the collection amount does not exceed 10% - 20% of its biomass. For collectable animals, use the method of limited collection after marking, and the collection amount does not exceed 5% of its biomass. For a certain collectable fish species, the fishing collection amount does not exceed 30% of its annual growth.

[0068] In the embodiment of the present invention, the acquisition method determination module determines the biodiversity level of each sub-region based on the resource evaluation values of each sub-region in the immediately adjacent historical period, and then formulates the acquisition method corresponding to each sub-region in the current period. This personalized acquisition strategy can reasonably adjust the acquisition intensity and method according to the biodiversity status of different sub-regions. For example, for sub-regions with relatively low biodiversity, a relatively mild and simple acquisition method can be adopted to reduce the interference to the fragile ecosystem; while for sub-regions with relatively high and stable biodiversity, more efficient acquisition can be carried out on the premise of ensuring that the biodiversity is not damaged, which helps the enterprise to find a balance between resource utilization and biodiversity protection. The enterprise can, while meeting its own development's resource requirements, protect biodiversity to the greatest extent through scientific acquisition methods, avoid irreversible damage to biological resources caused by over-acquisition, and achieve sustainable development.

[0069] Multi-data combined analysis module: After the resource data of each sub-region of the target enterprise in the current period is collected according to the determined acquisition method, it is used to obtain the corresponding resource change data of each sub-region in the current period. The resource change data includes the change rate of species diversity adaptation value, the change rate of genetic diversity adaptation value, the change rate of ecosystem diversity adaptation value, and the change rate of biological interaction adaptation value.

[0070] In a specific embodiment, the process of specifically analyzing and obtaining the corresponding resource change data of each sub-region in the current period is as follows:

[0071] Obtain the species diversity adaptation value, genetic diversity adaptation value, ecosystem diversity adaptation value, and biological interaction adaptation value corresponding to each sub-region in the current period, and analyze and obtain the change rate of species diversity adaptation value, the change rate of genetic diversity adaptation value, the change rate of ecosystem diversity adaptation value, and the change rate of biological interaction adaptation value corresponding to each sub-region in the current period according to the species diversity adaptation value, genetic diversity adaptation value, ecosystem diversity adaptation value, and biological interaction adaptation value corresponding to each sub-region in the immediately adjacent historical period.

[0072] It should be noted that substituting the adaptation value of the current period and the adaptation value of the immediately adjacent historical period into the change rate formula, the change rate of each index is calculated. The change rate = (current period adaptation value - immediately adjacent historical period adaptation value) divided by (immediately adjacent historical period adaptation value) * 100%.

[0073] Regional biological resource evaluation module: It is used to analyze and obtain the corresponding resource improvement evaluation value of each sub-region in the current period according to the corresponding resource change data of each sub-region in the current period, and then evaluate whether the biological resources corresponding to each sub-region in the current period are improved. If the biological resources corresponding to a certain sub-region in the current period are not improved, a warning prompt will be given.

[0074] In the embodiments of the present invention, through the biological resource evaluation value analysis module, the resource monitoring area of the target enterprise is divided into sub-regions, and the species diversity adaptation value, genetic diversity adaptation value, ecosystem diversity adaptation value, and biological interaction adaptation value of each sub-region in the adjacent historical period are obtained. This multi-dimensional analysis method can comprehensively and deeply reflect all aspects of biodiversity, avoiding the limitations of single-index evaluation. For example, not only can we understand the changes in the number of species, but also master the inter-species relationships and genetic-level changes, so as to accurately analyze the corresponding resource evaluation values of each sub-region in the adjacent historical period. Based on the comparison of the resource evaluation values in the current period and the adjacent historical period, the change trend of biodiversity can be dynamically monitored. Enterprises can clearly see whether the biological resources in each sub-region are improving, deteriorating, or remaining stable, timely discover the subtle changes in biodiversity, and provide a basis for early intervention.

[0075] In a specific embodiment, to evaluate whether the biological resources corresponding to each sub-region in the current period are improving, the specific evaluation process is as follows:

[0076] Input the change rates of the species diversity adaptation value, genetic diversity adaptation value, ecosystem diversity adaptation value, and biological interaction adaptation value corresponding to each sub-region in the current period into the resource improvement evaluation value evaluation model, and output the resource improvement evaluation value results corresponding to each sub-region in the current period;

[0077] The resource improvement evaluation value results include values of 1 and -1. When the resource improvement evaluation value result corresponding to a certain sub-region in the current period is 1, it is evaluated that the biological resources corresponding to this sub-region in the current period have improved. On the contrary, when the resource improvement evaluation value result corresponding to a certain sub-region in the current period is -1, it is evaluated that the biological resources corresponding to this sub-region in the current period have not improved.

[0078] In another specific embodiment, the expression of the resource improvement evaluation value evaluation model is: In the formula, θ k represents the resource improvement evaluation value result corresponding to the kth sub-region in the current period, ψ k represents the resource improvement evaluation value corresponding to the kth sub-region in the current period, ψ′ is the set resource improvement evaluation value threshold, k represents the number corresponding to each sub-region, and k is a positive integer;

[0079] The change rates of the species diversity adaptation value, genetic diversity adaptation value, ecosystem diversity adaptation value, and biological interaction adaptation value corresponding to each sub-region in the current period are respectively denoted as W k 、R k 、H k and M k, where k represents the number corresponding to each sub-region, k is a positive integer, substitute it into the calculation formula:

[0080]

[0081] to obtain the resource improvement evaluation value χ corresponding to each sub-region in the current period k , where W′, R′, H′, M′ are respectively the change rates of the standard species diversity adaptation value, the standard genetic diversity adaptation value, the standard ecosystem diversity adaptation value, and the standard biological interaction adaptation value corresponding to the set sub-region, υ 1 , υ 2 , υ 3 , υ 4 are respectively the weight factors corresponding to the change rate of the species diversity adaptation value of the set sub-region, the weight factor corresponding to the change rate of the genetic diversity adaptation value, the weight factor corresponding to the change rate of the ecosystem diversity adaptation value, and the weight factor corresponding to the change rate of the biological interaction adaptation value, σ 1 , σ 2 , σ 3 , σ 4 are respectively the adjustment factors corresponding to the change rate of the species diversity adaptation value of the set sub-region, the adjustment factor corresponding to the change rate of the genetic diversity adaptation value, the adjustment factor corresponding to the change rate of the ecosystem diversity adaptation value, and the adjustment factor corresponding to the change rate of the biological interaction adaptation value, and e represents the natural constant.

[0082] It should be noted that σ 1 , σ 2 , σ 3 , σ 4 are all greater than 0 and less than 1.

[0083] It should also be noted that through the summary of a large amount of research data and experimental data. According to the professional institutions and research institutions, the change rates of the standard species diversity adaptation value, the standard genetic diversity adaptation value, the standard ecosystem diversity adaptation value, and the standard biological interaction adaptation value corresponding to the sub-region are set. At the same time, based on the professional knowledge and research basis of domain experts, and through discussions and confirmations with industry organizations or professional institutions. The experts set the weight factors corresponding to the change rate of the species diversity adaptation value of the sub-region, the weight factor corresponding to the change rate of the genetic diversity adaptation value, the weight factor corresponding to the change rate of the ecosystem diversity adaptation value, and the weight factor corresponding to the change rate of the biological interaction adaptation value, as well as the adjustment factors corresponding to the change rate of the species diversity adaptation value of the sub-region, the adjustment factor corresponding to the change rate of the genetic diversity adaptation value, the adjustment factor corresponding to the change rate of the ecosystem diversity adaptation value, and the adjustment factor corresponding to the change rate of the biological interaction adaptation value.

[0084] In an embodiment of the present invention, when the regional biological resources assessment module detects that the biological resources in a certain sub-region have not improved in the current cycle, the early warning prompt function can quickly send an alarm to the relevant departments of the enterprise. This enables the enterprise to take corresponding measures before the biodiversity problem deteriorates, such as adjusting business activities, strengthening protection measures, or carrying out ecological restoration work, etc., which helps the enterprise fulfill its environmental responsibilities and actively participate in biodiversity protection.

[0085] The above content is only an example and explanation of the concept of the present invention. Those skilled in the art of the present technology can make various modifications or supplements to the described specific embodiments or use similar methods for substitution, as long as they do not deviate from the concept of the invention or exceed the scope defined by this specification, they should fall within the protection scope of the present invention.

Claims

1. A dynamic assessment system for biodiversity resource response mechanisms, characterized in that: include: Biological resource assessment value analysis module: used to divide the target enterprise resource monitoring area into several sub-areas, so as to obtain the species diversity adaptation value, genetic diversity adaptation value, ecosystem diversity adaptation value and biological interaction adaptation value corresponding to each sub-area in the adjacent historical period, and then analyze and obtain the resource assessment value corresponding to each sub-area in the adjacent historical period; Collection method determination module: used to evaluate the biodiversity level of the sub-regions corresponding to the sub-regions in the adjacent historical periods according to the resource evaluation values ​​corresponding to the sub-regions in the adjacent historical periods, and then determine the collection method corresponding to the sub-regions in the current period, and collect the sub-regions in the current period according to the determined collection method; Multi-data combination analysis module: used to obtain resource change data corresponding to each sub-region in the current period after the target enterprise completes resource data collection in each sub-region in the current period according to the determined collection method. The resource change data includes the change rate of species diversity fitness value, genetic diversity fitness value, ecosystem diversity fitness value and biological interaction fitness value. Regional biological resource assessment module: used to analyze the resource change data corresponding to each sub-region in the current period to obtain the resource improvement assessment value corresponding to each sub-region in the current period, and then evaluate whether the biological resources corresponding to each sub-region in the current period have improved. If the biological resources corresponding to a sub-region in the current period have not improved, an early warning prompt will be issued.

2. A dynamic assessment system for a biodiversity resource response mechanism as claimed in claim 1, characterized in that: The specific process of obtaining the species diversity adaptation value, genetic diversity adaptation value, biological interaction adaptation value and ecosystem diversity adaptation value corresponding to each sub-region in the adjacent historical period is as follows: A1. Obtain the species richness, number of endemic species, and proportion of rare and endangered species corresponding to each sub-region in the adjacent historical period, and input the species richness, number of endemic species, and proportion of rare and endangered species corresponding to each sub-region in the adjacent historical period into the species diversity analysis model, and output the species diversity adaptation value corresponding to each sub-region in the adjacent historical period; A2. Obtain the allele richness, gene diversity index, and genetic differentiation coefficient corresponding to each sub-region in the adjacent historical period, and input the allele richness, gene diversity index, and genetic differentiation coefficient corresponding to each sub-region in the adjacent historical period into the species diversity analysis model, and output the genetic diversity adaptation value corresponding to each sub-region in the adjacent historical period; A3. Obtain the number of ecosystem types and ecosystem productivity corresponding to each sub-region in the adjacent historical period, and input the number of ecosystem types and ecosystem productivity corresponding to each sub-region in the adjacent historical period into the ecosystem diversity analysis model, and output the ecosystem diversity adaptation value corresponding to each sub-region in the adjacent historical period; A4. Obtain the food web connectivity, interspecific competition intensity, and symbiotic relationship frequency corresponding to each sub-region in the adjacent historical period, and input the food web connectivity, interspecific competition intensity, and symbiotic relationship frequency corresponding to each sub-region in the adjacent historical period into the biotic interaction analysis model, and output the biotic interaction adaptation value corresponding to each sub-region in the adjacent historical period.

3. A dynamic assessment system for a biodiversity resource response mechanism as claimed in claim 2, characterized in that: The analysis obtains the resource assessment values ​​corresponding to each sub-region in the adjacent historical period. The specific analysis process is as follows: The species diversity fitness value, genetic diversity fitness value, ecosystem diversity fitness value and inter-organism mutual fitness value corresponding to each sub-region in the adjacent historical period are respectively recorded as , , and , k represents the number corresponding to each sub-region, k is a positive integer, substitute it into the calculation formula: The resource assessment values ​​corresponding to each sub-region in the adjacent historical period are obtained. ,in, , , , They are the standard species diversity adaptation value, standard genetic diversity adaptation value, standard ecosystem diversity adaptation value, and standard biological interaction adaptation value corresponding to the set sub-area. , , , They are respectively the weight factors corresponding to the set sub-region species diversity fitness value, the weight factors corresponding to the genetic diversity fitness value, the weight factors corresponding to the ecosystem diversity fitness value, and the weight factors corresponding to the mutuality fitness value between organisms.

4. A dynamic assessment system for a biodiversity resource response mechanism as claimed in claim 3, characterized in that: The biodiversity level of the sub-regions corresponding to each sub-region in the adjacent historical period is evaluated, and the specific analysis process is as follows: The resource assessment values ​​corresponding to each sub-region in the adjacent historical period are compared with the resource assessment value intervals corresponding to the set biodiversity levels of each sub-region. If the resource assessment value corresponding to a sub-region in the adjacent historical period is within the resource assessment value interval corresponding to the set biodiversity level of a sub-region, the biodiversity level of the sub-region is recorded as the sub-region biodiversity level corresponding to the sub-region in the adjacent historical period. In this way, the sub-region biodiversity levels corresponding to each sub-region in the adjacent historical period are evaluated.

5. A dynamic assessment system for a biodiversity resource response mechanism as claimed in claim 4, characterized in that: The specific analysis process of determining the collection method corresponding to each sub-area of ​​the current period is as follows: B1. If the biodiversity level of a sub-region in the adjacent historical period is a low sub-region biodiversity level, the sub-region will adopt a grid layout collection method in the current period, with 3 to 5 collection monitoring points set up per square kilometer. For biological populations, the focus will be on monitoring the number of individuals, age structure, and reproductive status of species. For plants, the number of plants, coverage area, and growth stage will be recorded; for animals, the number of individuals will be counted through the mark-recapture method and infrared camera monitoring method, and the reproductive behavior and number of juveniles during the reproductive cycle will be observed. Environmental factors, including soil moisture, temperature, nutrient content, and pH and dissolved oxygen in water bodies, will be monitored. At the same time, at least four comprehensive surveys will be conducted each year, in four quarters respectively; B2. If the biodiversity level of a sub-region in the adjacent historical period is the biodiversity level of the middle sub-region, then a combination of multiple survey methods will be used in the sub-region in the current period. For plants, sample plots will be set in different habitats. The sample plots of tree forests are 10m×10m, shrub forests are 5m×5m, and herbaceous vegetation are 1m×1m. The species, quantity, height, coverage, etc. of the plants in the sample plots will be counted. For animals, the sample line method, sample point method and trap method will be used. A sample line of 1-2km will be set in mountain forests, and a collection point will be set every 500m to count the species and quantity of animals passing through the sample line and sample point; traps will be set in grasslands and wetlands to capture small invertebrates and amphibians. At the same time, a comprehensive survey will be conducted at least twice a year, in spring and autumn respectively. B3. If the biodiversity level of a sub-region in the adjacent historical period is a high sub-region biodiversity level, then the sub-region in the current period adopts a non-destructive collection method, only collects some branches, leaves or fruits, and the collection volume does not exceed 10%-20% of its biomass. For collectible animals, the method of limited collection after marking is adopted, and the collection volume does not exceed 5% of its biomass. For a certain collectible fish, the catch and collection volume does not exceed 30% of its annual growth.

6. A dynamic assessment system for a biodiversity resource response mechanism as claimed in claim 1, characterized in that: The process of obtaining the resource change data corresponding to each sub-region in the current period is analyzed as follows: The species diversity fitness value, genetic diversity fitness value, ecosystem diversity fitness value and inter-biological mutuality fitness value corresponding to each sub-region in the current period are obtained, and based on the species diversity fitness value, genetic diversity fitness value, ecosystem diversity fitness value and inter-biological mutuality fitness value corresponding to each sub-region in the adjacent historical period, the change rate of the species diversity fitness value, genetic diversity fitness value, ecosystem diversity fitness value and inter-biological mutuality fitness value corresponding to each sub-region in the current period is analyzed.

7. A dynamic assessment system for a biodiversity resource response mechanism as claimed in claim 6, characterized in that: The specific evaluation process of evaluating whether the biological resources corresponding to each sub-region in the current cycle have been improved is as follows: Input the species diversity fitness value change rate, genetic diversity fitness value change rate, ecosystem diversity fitness value change rate and inter-biological mutual fitness value change rate corresponding to each sub-region in the current cycle into the resource improvement assessment value evaluation model, and output the resource improvement assessment value results corresponding to each sub-region in the current cycle; The resource improvement assessment value results include values ​​of 1 and -1. When the resource improvement assessment value result corresponding to a sub-region in the current period is 1, it is evaluated that the biological resources corresponding to the sub-region in the current period have been improved. Conversely, when the resource improvement assessment value result corresponding to a sub-region in the current period is -1, it is evaluated that the biological resources corresponding to the sub-region in the current period have not been improved.

8. A dynamic assessment system for a biodiversity resource response mechanism as claimed in claim 7, characterized in that: The expression of the resource improvement evaluation value evaluation model is: , where Indicates the resource improvement evaluation result corresponding to the kth sub-region in the current period, represents the resource improvement evaluation value corresponding to the kth sub-region in the current period, is the set resource improvement assessment value threshold, k represents the number corresponding to each sub-region, and k is a positive integer; The change rates of species diversity fitness value, genetic diversity fitness value, ecosystem diversity fitness value and inter-organism mutual fitness value corresponding to each sub-region in the current cycle are recorded as , , and , k represents the number corresponding to each sub-region, k is a positive integer, substitute it into the calculation formula: The resource improvement evaluation value corresponding to each sub-region in the current period is obtained ,in, , , , They are the standard species diversity adaptation value change rate, standard genetic diversity adaptation value change rate, standard ecosystem diversity adaptation value change rate, and standard biological interaction adaptation value change rate corresponding to the set sub-area. , , , They are the weight factors corresponding to the change rate of the adaptation value of species diversity in the set sub-region, the weight factors corresponding to the change rate of the adaptation value of genetic diversity, the weight factors corresponding to the change rate of the adaptation value of ecosystem diversity, and the weight factors corresponding to the change rate of the adaptation value of the mutuality between organisms. , , , They are the adjustment factors corresponding to the change rate of the adaptation value of species diversity in the set sub-region, the adjustment factors corresponding to the change rate of the adaptation value of genetic diversity, the adjustment factors corresponding to the change rate of the adaptation value of ecosystem diversity, and the adjustment factors corresponding to the change rate of the adaptation value of the mutuality between organisms. Represents a natural constant.

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