A method and system for restoring fishery ecological environment based on symbiotic competition mechanism
Through the method based on the symbiotic competition mechanism, the key matrix and index of ecological environment restoration are constructed, and the key species of ecological restoration are determined, which solves the problem of low efficiency in fishery ecological environment restoration and achieves efficient and reliable fishery ecological environment restoration.
Patent Information
- Application Number
- CN202411648559.5
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2024-11-19
- Publication Date
- 2025-03-11
- Estimated Expiration
- 2044-11-19
AI Technical Summary
The damage to the fishery ecological environment is affected by a variety of factors, making it difficult to carry out efficient restoration.
Using a method based on the symbiotic competition mechanism, we use environmental monitoring parameters and statistics of vegetation coverage area and biological population density, build environmental time-varying sequences and community time-varying sequences, establish symbiotic competition normative matrix and ecological environment strong dependence matrix, calculate ecological diversity degradation index, determine key species of ecological restoration, and restore fishery ecological environment based on the imbalance factors and balanced proportions of these species.
The efficiency and reliability of fishery ecological environment restoration have been improved. By comprehensively considering the symbiotic competition relationship between species, dependence on the environment and quantitative imbalance characteristics, key species of ecological restoration have been accurately determined to achieve efficient restoration of the fishery ecological environment.
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Figure CN119151522B_ABST
Abstract
Description
Technical Field
[0001] The present invention relates to the technical field of ecological breeding and farming, and in particular to a method and system for restoring a fishery ecological environment based on a symbiotic competition mechanism. Background Art
[0002] The fishery ecological environment provides the necessary conditions for the survival and reproduction of fishery resources. Ecological and environmental factors including water quality, bottom quality, water temperature, light, food chain, etc. together constitute the basis for the survival of fish and other aquatic organisms.
[0003] However, the destruction of the fishery ecological environment is affected by many factors, which are interrelated, making it particularly difficult to efficiently restore the fishery ecological environment.
[0004] It can be seen that how to efficiently repair the fishery ecological environment has become a technical problem that needs to be urgently solved by technical personnel in this field. Summary of the invention
[0005] The present invention provides a method and system for restoring the fishery ecological environment based on a symbiotic competition mechanism, so as to solve the technical problem that the destruction of the fishery ecological environment is affected by multiple factors, and the various factors are interrelated, resulting in difficulty in efficiently restoring the fishery ecological environment, thereby improving the restoration efficiency of the fishery ecological environment.
[0006] In order to solve the above technical problems, an embodiment of the present invention provides a method for restoring the fishery ecological environment based on a symbiotic competition mechanism.
[0007] Collect various environmental monitoring parameters of each fishery ecological region, count the vegetation coverage area of various types of plants and the biological population density of various types of organisms, and construct various environmental time-varying sequences and community time-varying sequences of various species in each fishery ecological region;
[0008] Based on the correlation between all the community time-varying sequences and the correlation between each community time-varying sequence and each environment time-varying sequence, a symbiotic competition norm matrix and an ecological environment strong dependence matrix are constructed;
[0009] Calculate the ecological diversity degradation index of each fishery ecological region based on the change trends of all the vegetation coverage areas and all the biological population densities, and divide the ecological degradation sign areas and ecological diversity areas based on all the ecological diversity degradation indices;
[0010] Calculate the balance ratio of each species based on the ecological diversity degradation index of all ecological diversity areas and the proportion of each species, and calculate the corresponding competitive advantage and disadvantage imbalance factor based on the difference between the proportion of each species in each ecological degradation sign area and the balance ratio;
[0011] Based on the symbiotic competition norm matrix, the ecological environment strong dependence matrix and all the competitive advantage and disadvantage imbalance factors in each area with signs of ecological degradation, the corresponding key species for ecological restoration are obtained; based on the competitive advantage and disadvantage imbalance factors and the balance ratios of all the key species for ecological restoration, fishery ecological environment restoration is carried out in each area with signs of ecological degradation.
[0012] As one of the preferred solutions, a symbiotic competition norm matrix and an ecological environment strong dependence matrix are constructed based on the correlation between all the community time-varying sequences and the correlation between each community time-varying sequence and each environment time-varying sequence, including:
[0013] Taking the correlation coefficient between the community time-varying sequences of each fishery ecological region as the symbiotic competition coefficient between the corresponding species in each fishery ecological region, and constructing the symbiotic competition matrix of each fishery ecological region based on all the symbiotic competition coefficients in each fishery ecological region;
[0014] Taking the average value of the element values at the same position of the symbiotic competition matrix of all the fishery ecological regions to obtain a symbiotic competition normative matrix;
[0015] An ecological environment dependence specification matrix is constructed based on the correlation between each of the community time-varying sequences and each of the environment time-varying sequences, and an ecological environment strong dependence matrix is constructed based on the linear algebraic relationship between the symbiotic competition specification matrix and the ecological environment dependence specification matrix.
[0016] As one preferred solution, the ecological environment dependence normative matrix is constructed based on the correlation between each of the community time-varying sequences and each of the environment time-varying sequences, including:
[0017] The correlation coefficient between each of the community time-varying series and each of the environmental time-varying series in each of the fishery ecological regions is used as an ecological environment dependence index between the corresponding species and the corresponding environmental monitoring parameters in each of the fishery ecological regions;
[0018] Constructing an ecological environment dependence matrix for each fishery ecological region based on all the ecological environment dependence indexes within each fishery ecological region;
[0019] The element values at the same position of the ecological environment dependence matrix of all the fishery ecological areas are averaged to obtain the ecological environment dependence standard matrix.
[0020] As one of the preferred solutions, the calculation of the ecological diversity degradation index of each fishery ecological region based on the change trend of all the vegetation coverage areas and the change trend of all the biological population densities includes:
[0021] The proportion of each vegetation coverage area in each fishery ecological region at each collection time is taken as the corresponding vegetation proportion, and the proportion of each biological population density in each fishery ecological region at each collection time is taken as the corresponding population proportion;
[0022] The ecological diversity index of each fishery ecological region at each collection time is calculated based on the proportion of all the vegetation and the proportion of all the populations in each fishery ecological region at each collection time:
[0023]
[0024] in, is the ecological diversity index of the i-th fishery ecological region at the t-th collection time, represents an exponential function with a natural constant as base, is the pth vegetation proportion of the ith fishery eco-region at the tth collection time, is the number of plant species in the i-th fishery ecological area, is the proportion of the qth population in the ith fishery ecoregion at the tth collection time, is the number of species of organisms in the i-th fishery ecological area;
[0025] The difference between the ecological diversity index of each fishery ecological region at each collection moment and the corresponding ecological diversity index at the next collection moment is used as the ecological diversity characteristic dissipation index of each fishery ecological region at each collection moment;
[0026] The sum of the ecological diversity characteristic dissipation index of each fishery ecological region at all sampling times is taken as the ecological diversity degradation index of each fishery ecological region.
[0027] As one preferred solution, the division of ecological degradation sign areas and ecological diversity areas based on all the ecological diversity degradation indices includes:
[0028] The fishery ecological region with the ecological diversity degradation index greater than 0 is regarded as an ecological diversity region;
[0029] The fishery ecological area with the ecological diversity degradation index less than or equal to 0 is regarded as an area showing signs of ecological degradation.
[0030] As one preferred solution, the species ratio includes the vegetation ratio and the population ratio, and the calculation of the balance ratio of each species based on the ecological diversity degradation index of all the ecological diversity areas and the ratio of each species includes:
[0031] The calculation result of the exponential function with the natural constant as the base and each of the ecological diversity degradation indexes as the exponent is used as the corresponding ecological diversity maintenance index, and the ecological diversity maintenance indexes of all the ecological diversity areas are normalized to obtain the ecological diversity reference weight of each ecological diversity area;
[0032] The product of the proportion of each species in each ecological diversity zone and the ecological diversity reference weight of the corresponding ecological diversity zone is taken as the weighted proportion of each species in each ecological diversity zone, and the sum of the weighted proportions of each species in all the ecological diversity zones is taken as the balanced proportion of each species.
[0033] As one of the preferred solutions, the calculation of the corresponding competitive advantage and disadvantage imbalance factor based on the difference between the proportion of each species in each ecological degradation sign area and the balance proportion includes:
[0034] The difference between the proportion of each species in each area with signs of ecological degradation and the balanced proportion is used as the imbalance factor of competitive advantage and disadvantage of each species in each area with signs of ecological degradation.
[0035] As one of the preferred solutions, the corresponding key species for ecological restoration are obtained based on the symbiotic competition norm matrix, the ecological environment strong dependence matrix and all the competitive advantage and disadvantage imbalance factors in each ecological degradation sign area, including:
[0036] Adding all element values in the symbiotic competition specification matrix row by row to obtain the ecological key factor of each species; processing the ecological environment strong dependence matrix to obtain the ecological environment strong dependence index of each species;
[0037] Based on the linear relationship between the ecological key factor of each species, the ecological environment strong dependence index and the corresponding competitive advantage and disadvantage imbalance factor, the corresponding ecological restoration key factor is calculated;
[0038] Normalizing all the key factors for ecological restoration to obtain normalized key factors for ecological restoration of each species;
[0039] The species in each ecological degradation sign area whose normalized key factor for ecological restoration is greater than a preset threshold are taken as corresponding key species for ecological restoration.
[0040] As one of the preferred solutions, the fishery ecological environment restoration is carried out in each area showing signs of ecological degradation based on the imbalance factors of competitive advantages and disadvantages and the balance ratios of all the key species for ecological restoration, including:
[0041] When the competitive advantage imbalance factor of the key species for ecological restoration is less than 0, the key species for ecological restoration will be increased based on the corresponding balance ratio; when the competitive advantage imbalance factor of the key species for ecological restoration is equal to 0, the number of the key species for ecological restoration will be kept unchanged; when the competitive advantage imbalance factor of the key species for ecological restoration is greater than 0, the key species for ecological restoration will be reduced based on the corresponding balance ratio.
[0042] Yet another embodiment of the present invention provides a fishery ecological environment restoration system based on a symbiotic competition mechanism, the system comprising a processor, a memory, and a computer program stored in the memory and configured to be executed by the processor, and when the processor executes the computer program, it implements a fishery ecological environment restoration method based on a symbiotic competition mechanism as described above.
[0043] Compared with the prior art, the embodiments of the present invention have the following advantages:
[0044] (1) First, we collected various environmental monitoring parameters of each fishery ecological region, counted the vegetation coverage area of various plant types and the biological population density of various biological types, constructed the environmental time-varying series and the community time-varying series of each species in each fishery ecological region, and constructed the symbiotic competition normative matrix based on the correlation between the community time-varying series of all fishery ecological regions to evaluate the symbiotic competition relationship between various species;
[0045] (2) Based on the correlation between each community time-varying sequence and each environmental time-varying sequence in all fishery ecological regions, an ecological environment dependence standard matrix is constructed. Based on the linear algebraic relationship between the symbiotic competition standard matrix and the ecological environment dependence standard matrix, an ecological environment strong dependence matrix is constructed to evaluate the degree of dependence of each species on each environmental factor. While considering the dependence relationship between each organism and the environmental factor, the dependence of other organisms with a symbiotic competition relationship on the environmental factor is also considered, which improves the accuracy of evaluating the degree of dependence of species on various environmental factors.
[0046] (3) Then, the changing trend of species diversity in each fishery ecological region was analyzed, and the ecological diversity degradation index of each fishery ecological region was calculated. Based on all ecological diversity degradation indices, the ecological degradation signs area and ecological diversity area were divided. The ecological characteristics of the ecological degradation signs area and ecological diversity area were analyzed respectively. The balance proportion of each species was calculated based on the ecological diversity degradation index of all ecological diversity areas and the proportion of each species. The corresponding competitive advantage and disadvantage imbalance factor was calculated based on the difference between the proportion of each species in each ecological degradation sign area and the balance proportion. The ecological characteristics of the ecological diversity area were used as the reference standard for the ecological degradation signs area, which improved the reliability of the fishery ecological environment restoration.
[0047] (4) Based on the symbiotic competition norm matrix, the ecological environment strong dependence matrix and all competitive advantage and disadvantage imbalance factors in each ecological degradation sign area, the corresponding key species for ecological restoration are obtained. The symbiotic competition relationship between species, the species' dependence on the environment and the species' quantitative imbalance characteristics are comprehensively considered to improve the reliability of the key species for ecological restoration. Based on the competitive advantage and disadvantage imbalance factors and balance proportions of all key species for ecological restoration, fishery ecological environment restoration is carried out in each ecological degradation sign area. By utilizing the symbiotic competition mechanism between species, species that are less dependent on environmental factors and have symbiotic competition relationships with other species are selected for fishery ecological environment restoration, thereby improving the efficiency of fishery ecological environment restoration. BRIEF DESCRIPTION OF THE DRAWINGS
[0048] Figure 1 It is a schematic diagram of a fishery ecological environment restoration process based on a symbiotic competition mechanism in one embodiment of the present invention;
[0049] Figure 2 It is a schematic diagram of obtaining key species for ecological restoration in one embodiment of the present invention. DETAILED DESCRIPTION
[0050] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. The purpose of providing these embodiments is to make the disclosure of the present invention more thorough and comprehensive. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.
[0051] In the description of this application, the terms "first", "second", "third", etc. are used for descriptive purposes only and are not to be understood as indicating or implying relative importance or implicitly indicating the number of the indicated technical features. Thus, a feature defined as "first", "second", "third", etc. may explicitly or implicitly include one or more of the feature. In the description of this application, unless otherwise specified, "plurality" means two or more.
[0052] In the description of the present application, it should be noted that, unless otherwise clearly specified and limited, the terms "installed", "connected", and "connected" should be understood in a broad sense. For example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be a direct connection, or it can be indirectly connected through an intermediate medium, or it can be a connection between the two elements. The terms "vertical", "horizontal", "left", "right", "upper", "lower" and similar expressions used herein are only for illustrative purposes, and do not indicate or imply that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore cannot be understood as a limitation on the present invention. The term "and / or" used herein includes any and all combinations of one or more related listed items. For those of ordinary skill in the art, the specific meanings of the above terms in this application can be understood according to specific circumstances.
[0053] In the description of this application, it should be noted that, unless otherwise defined, all technical and scientific terms used in the present invention have the same meaning as those commonly understood by those skilled in the art. The terms used in the specification of the present invention are only for the purpose of describing specific embodiments and are not intended to limit the present invention. For those of ordinary skill in the art, the specific meanings of the above terms in this application can be understood by specific circumstances.
[0054] An embodiment of the present invention provides a method for restoring the fishery ecological environment based on a symbiotic competition mechanism. For details, please refer to Figure 1 , Figure 1 Shown is a schematic diagram of a fishery ecological environment restoration process based on a symbiotic competition mechanism in one embodiment of the present invention.
[0055] Step S1: Collect various environmental monitoring parameters of each fishery ecological region, count the vegetation coverage area of various plant types and the biological population density of various biological types, and construct various environmental time-varying sequences and community time-varying sequences of various species in each fishery ecological region.
[0056] Specifically, various environmental monitoring parameters of each fishery ecological region are collected every d days, and the vegetation coverage area of various types of plants and the biological population density of various types of organisms in each fishery ecological region are counted; the same environmental monitoring parameters of each fishery ecological region at all collection times are arranged in ascending order according to the time of collection as the corresponding environmental time-varying sequence; the vegetation coverage area of the same type of plants in each fishery ecological region at all collection times is arranged in ascending order according to the time of collection as the community time-varying sequence of the corresponding species in each fishery ecological region; the biological population density of the same type of organisms in each fishery ecological region at all collection times is arranged in ascending order according to the time of collection as the community time-varying sequence of the corresponding species in each fishery ecological region.
[0057] It should be noted that the collection time interval t is a preset value. In this embodiment, the time interval t is 1. As for the value of the time interval t, as other implementations, the implementer can select it at will, and this application does not impose any special restrictions on this. Environmental monitoring parameters include dissolved oxygen content, water cleanliness, pH and temperature, and the species include various types of plants and various types of organisms.
[0058] Step S2: Based on the correlation between the community time-varying sequences of all fishery ecological regions, a symbiotic competition normative matrix is constructed; based on the correlation between each community time-varying sequence and each environmental time-varying sequence of all fishery ecological regions, an ecological environment dependence normative matrix is constructed; based on the linear algebraic relationship between the symbiotic competition normative matrix and the ecological environment dependence normative matrix, an ecological environment strong dependence matrix is constructed.
[0059] It should be noted that various organisms in the fishery ecological environment are interdependent through the complementarity of food chains and the sharing of habitats, and are also in a competitive relationship due to the limitations of resources such as food, habitats and breeding sites.
[0060] Therefore, based on the interactions among various fish species and how the interactions affect the changes in the number of various fish species as environmental conditions change, and the correlation between the number of fish and environmental conditions, the symbiotic competitive relationship between species and their dependence on the environment can be used to efficiently restore the fishery ecological environment.
[0061] First, the degree of correlation between the time-varying series of communities in all fishery ecoregions was analyzed.
[0062] Specifically, the correlation coefficients between the community time-varying sequences of each fishery ecological region were used as the symbiotic competition coefficients between the corresponding species in each fishery ecological region, and the corresponding symbiotic competition matrix was constructed based on all symbiotic competition coefficients in each fishery ecological region.
[0063] It should be noted that the number of rows and columns of the symbiotic competition matrix of each fishery ecological region is equal to the sum of the number of species of various types of plants and various types of organisms in each fishery ecological region, and each element value of the symbiotic competition matrix of each fishery ecological region represents the symbiotic competition relationship between the corresponding species.
[0064] In order to improve the reliability of the assessment of symbiotic competition relationships between species, the element values at the same position in the symbiotic competition matrix of all fishery eco-regions were averaged to obtain the symbiotic competition normative matrix.
[0065] It should be noted that the elements in the symbiotic competition norm matrix greater than 0 indicate that there is a symbiotic relationship between the corresponding species, and the elements less than 0 indicate that there is a competitive relationship between the corresponding species.
[0066] Furthermore, the dependencies between species and the environment in all fishery eco-regions were analyzed.
[0067] The correlation coefficient between each community time-varying series and each environmental time-varying series in each fishery ecological region is used as the ecological environmental dependence index between the corresponding species and the corresponding environmental monitoring parameters in each fishery ecological region. Based on all ecological environmental dependence indices in each fishery ecological region, the ecological environmental dependence matrix of each fishery ecological region is constructed.
[0068] It should be noted that the number of rows in the ecological environment dependence matrix of each fishery ecological region is the sum of the number of species of various plants and various organisms in each fishery ecological region, the number of columns is the number of species of environmental monitoring parameters, and each element value of the symbiotic competition matrix of each fishery ecological region represents the dependency relationship between the corresponding species and the environmental monitoring parameters.
[0069] In order to improve the reliability of the evaluation of the dependency relationship between species and the environment, the element values at the same position of the eco-environmental dependency matrix of all fishery ecological regions were averaged to obtain the eco-environmental dependency normative matrix.
[0070] Furthermore, while considering the dependency between each organism and environmental factors, the dependence of other organisms that have a symbiotic competition relationship with each organism on environmental factors is also considered, and an ecological environment strong dependency matrix is constructed based on the linear algebraic relationship between the symbiotic competition specification matrix and the ecological environment dependence specification matrix.
[0071] As an embodiment of the present application, the product of the symbiotic competition specification matrix and the ecological environment dependence specification matrix is used as the ecological environment strong dependence matrix.
[0072] Step S3: Calculate the ecological diversity degradation index of each fishery ecological region based on the changing trends of all vegetation coverage areas and all biological population densities, and divide the ecological degradation sign areas and ecological diversity areas based on all ecological diversity degradation indices.
[0073] It should be noted that changes in ecological factors such as vegetation coverage area and biological population density can reflect the health and stability of the ecosystem, thereby helping to assess the degradation of ecological diversity.
[0074] In order to evaluate the degree of degradation of each fishery ecological zone, the proportion of each vegetation coverage area in each fishery ecological zone at each collection time was taken as the corresponding vegetation ratio, and the proportion of each biological population density in each fishery ecological zone at each collection time was taken as the corresponding population ratio.
[0075] The ecological diversity index of each fishery eco-region at each collection time was calculated based on the proportion of all vegetation and the proportion of all populations in each fishery eco-region at each collection time:
[0076]
[0077] in, is the ecological diversity index of the i-th fishery ecological region at the t-th collection time, represents an exponential function with a natural constant as base, is the pth vegetation proportion of the ith fishery eco-region at the tth collection time, is the number of plant species in the i-th fishery ecological area, is the proportion of the qth population in the ith fishery ecoregion at the tth collection time, is the number of species of organisms in the i-th fishery ecological area.
[0078] It should be noted that when the difference in the proportion of each vegetation and the proportion of each population in the fishery ecological area is greater, it means that the biodiversity characteristics in the fishery ecological area are less obvious and the ecological diversity index value is smaller; when the proportion of each vegetation and the proportion of each population are roughly equal, The smaller, The smaller it is, the more obvious the biodiversity characteristics within the fishery ecological area are and the larger the ecological diversity index value is.
[0079] Furthermore, the changes in the ecological diversity index of each fishery ecological region at adjacent collection times were analyzed, and the difference between the ecological diversity index of each fishery ecological region at each collection time and the corresponding ecological diversity index at the next collection time was taken as the ecological diversity characteristic dissipation index of each fishery ecological region at each collection time, and the sum of the ecological diversity characteristic dissipation index of each fishery ecological region at all collection times was taken as the ecological diversity degradation index of each fishery ecological region.
[0080] Fishery ecological areas with an ecological diversity degradation index greater than 0 are regarded as ecological diversity areas, and fishery ecological areas with an ecological diversity degradation index less than or equal to 0 are regarded as areas with signs of ecological degradation.
[0081] Step S4: Calculate the balance proportion of each species based on the eco-diversity degradation index of all eco-diversity areas and the proportion of each species, and calculate the corresponding competitive advantage and disadvantage imbalance factor based on the difference between the proportion and the balance proportion of each species in each eco-degradation sign area.
[0082] Furthermore, the ecological characteristics of the areas with signs of ecological degradation and the ecologically diverse areas were analyzed separately, and the ecological characteristics of the ecologically diverse areas were used as the reference standard for the areas with signs of ecological degradation.
[0083] Specifically, the calculation result of the exponential function with natural constants as the base and each ecological diversity degradation index as the exponent is used as the ecological diversity maintenance index of the corresponding ecological diversity area. The ecological diversity maintenance index of all ecological diversity areas is normalized to obtain the ecological diversity reference weight of each ecological diversity area.
[0084] The product of the proportion of each species in each eco-diversity zone and the eco-diversity reference weight of the corresponding eco-diversity zone is taken as the weighted proportion of each species in each eco-diversity zone, and the sum of the weighted proportions of each species in all eco-diversity zones is taken as the balanced proportion of each species.
[0085] It should be noted that when evaluating the balance proportion of each species, different confidence weights are set for different eco-diversity regions according to the diversity characteristics of the eco-diversity regions, which improves the accuracy of the assessment of the balance proportion of each species.
[0086] Furthermore, the difference between the proportion of each species in each area with signs of ecological degradation and the balanced proportion is used as the imbalance factor of competitive advantages and disadvantages of each species in each area with signs of ecological degradation.
[0087] It should be noted that the corresponding competitive advantage and disadvantage imbalance factor is calculated based on the difference between the proportion of each species in each area with signs of ecological degradation and the balance ratio, and the ecological characteristics of ecologically diverse areas are used as reference standards for areas with signs of ecological degradation, which improves the reliability of fishery ecological environment restoration.
[0088] Step S5: Based on the symbiotic competition norm matrix, the ecological environment strong dependence matrix and all competitive advantage and disadvantage imbalance factors in each ecological degradation sign area, the corresponding key species for ecological restoration are obtained, and the fishery ecological environment restoration is carried out in each ecological degradation sign area based on the competitive advantage and disadvantage imbalance factors and balance proportions of all key species for ecological restoration.
[0089] It should be noted that key species play a vital role in ecosystems. They play a key role in maintaining the structure, function and stability of ecosystems. Once these species are restored or reintroduced, they can play their unique role in the ecosystem, thereby gradually restoring the ecosystem's ability to self-regulate and maintain stability.
[0090] Specifically, all element values in the symbiotic competition norm matrix are added row by row to obtain the ecological key factor of each species, and the ecological environment strong dependence matrix is processed to obtain the ecological environment strong dependence index of each species.
[0091] As an embodiment of the present application, all element values in the ecological environment strong dependence matrix are added row by row to obtain the ecological environment strong dependence index of each species.
[0092] Furthermore, based on the linear relationship between the ecological key factors of each species, the strong ecological environment dependence index and the corresponding competitive advantage and disadvantage imbalance factors, the corresponding ecological restoration key factors are calculated.
[0093] It should be noted that the key ecological factor represents the symbiotic competition relationship between each species and other species, the strong ecological environmental dependence index represents the degree of dependence of each species on environmental factors, and the competitive advantage and disadvantage imbalance factor represents the difference between the current number of each species and the number in the ecological equilibrium state. When the symbiotic competition relationship between a species and other species is stronger, the degree of dependence on environmental factors is lower, and the competitive advantage and disadvantage imbalance factor is larger, it means that the species is more likely to be a key species causing ecological degradation, and it is easier to achieve ecological environmental restoration by adjusting the number of the species, and the corresponding key ecological restoration factor value is larger.
[0094] As an embodiment of the present application, the ecological environment strong dependence index of each species plus the absolute value of the corresponding competitive advantage and disadvantage imbalance factor is taken as the first key factor of each species, and the difference between the ecological key factor of each species and the corresponding first key factor is taken as the ecological restoration key factor of each species.
[0095] Furthermore, all key factors for ecological restoration are normalized to obtain the normalized key factors for ecological restoration of each species. The species whose normalized key factors for ecological restoration in each area with signs of ecological degradation are greater than the preset threshold are taken as the corresponding key species for ecological restoration.
[0096] For details, see Figure 2 , Figure 2 Shown is a schematic diagram of obtaining key species for ecological restoration in one embodiment of the present invention.
[0097] When the imbalance factor of competitive advantage and disadvantage of key species for ecological restoration is less than 0, the corresponding key species for ecological restoration will be increased based on the corresponding balance ratio; when the imbalance factor of competitive advantage and disadvantage of key species for ecological restoration is equal to 0, the number of key species for ecological restoration will be kept unchanged; when the imbalance factor of competitive advantage and disadvantage of key species for ecological restoration is greater than 0, the corresponding key species for ecological restoration will be reduced based on the corresponding balance ratio.
[0098] It should be noted that by utilizing the symbiotic competition mechanism between species and selecting species that are less dependent on environmental factors and have symbiotic competitive relationships with other species for fishery ecological environment restoration, the efficiency of fishery ecological environment restoration has been improved.
[0099] Yet another embodiment of the present invention provides a fishery ecological environment restoration system based on a symbiotic competition mechanism, the system comprising a processor, a memory, and a computer program stored in the memory and configured to be executed by the processor, and when the processor executes the computer program, it implements a fishery ecological environment restoration method based on a symbiotic competition mechanism as described above.
[0100] The above-mentioned embodiments only express several implementation methods of the present invention, and the description thereof is relatively specific and detailed, but it cannot be understood as limiting the scope of the patent of the present invention. It should be pointed out that, for ordinary technicians in this field, several variations and improvements can be made without departing from the concept of the present invention, which all belong to the protection scope of the present invention. Therefore, the protection scope of the patent of the present invention shall be subject to the attached claims.
Claims
1. A method for restoring fishery ecological environment based on symbiotic competition mechanism, characterized in that: include: Collect various environmental monitoring parameters of each fishery ecological region, count the vegetation coverage area of various types of plants and the biological population density of various types of organisms, and construct various environmental time-varying sequences and community time-varying sequences of various species in each fishery ecological region; Based on the correlation between all the community time-varying sequences and the correlation between each community time-varying sequence and each environment time-varying sequence, a symbiotic competition norm matrix and an ecological environment strong dependence matrix are constructed; Specifically, it includes: taking the correlation coefficient between the community time-varying sequences in each fishery ecological region as the symbiotic competition coefficient between the corresponding species in each fishery ecological region, and constructing the symbiotic competition matrix of each fishery ecological region based on all the symbiotic competition coefficients in each fishery ecological region; taking the average value of the element values at the same position of the symbiotic competition matrix of all the fishery ecological regions to obtain the symbiotic competition norm matrix; constructing the ecological environment dependence norm matrix based on the correlation between each community time-varying sequence and each environment time-varying sequence, and constructing the ecological environment strong dependence matrix based on the linear algebraic relationship between the symbiotic competition norm matrix and the ecological environment dependence norm matrix; Calculate the ecological diversity degradation index of each fishery ecological region based on the change trends of all the vegetation coverage areas and all the biological population densities, and divide the ecological degradation sign areas and ecological diversity areas based on all the ecological diversity degradation indices; Calculate the balance ratio of each species based on the ecological diversity degradation index of all ecological diversity areas and the proportion of each species, and calculate the corresponding competitive advantage and disadvantage imbalance factor based on the difference between the proportion of each species in each ecological degradation sign area and the balance ratio; Based on the symbiotic competition norm matrix, the ecological environment strong dependence matrix and all the competitive advantage and disadvantage imbalance factors in each area with signs of ecological degradation, the corresponding key species for ecological restoration are obtained; based on the competitive advantage and disadvantage imbalance factors and the balance ratios of all the key species for ecological restoration, fishery ecological environment restoration is carried out in each area with signs of ecological degradation.
2. A method for restoring fishery ecological environment based on symbiotic competition mechanism as claimed in claim 1, characterized in that: The step of constructing an ecological environment dependence specification matrix based on the correlation between each of the community time-varying sequences and each of the environment time-varying sequences comprises: The correlation coefficient between each of the community time-varying series and each of the environmental time-varying series in each of the fishery ecological regions is used as an ecological environment dependence index between the corresponding species and the corresponding environmental monitoring parameters in each of the fishery ecological regions; Constructing an ecological environment dependence matrix for each fishery ecological region based on all the ecological environment dependence indexes within each fishery ecological region; The element values at the same position of the ecological environment dependence matrix of all the fishery ecological areas are averaged to obtain the ecological environment dependence standard matrix.
3. A method for restoring fishery ecological environment based on symbiotic competition mechanism as claimed in claim 1, characterized in that: The calculation of the ecological diversity degradation index of each fishery ecological region based on the change trend of all the vegetation coverage areas and the change trend of all the biological population densities includes: The proportion of each vegetation coverage area in each fishery ecological region at each collection time is taken as the corresponding vegetation proportion, and the proportion of each biological population density in each fishery ecological region at each collection time is taken as the corresponding population proportion; The ecological diversity index of each fishery ecological region at each collection time is calculated based on the proportion of all the vegetation and the proportion of all the populations in each fishery ecological region at each collection time: ; in, is the ecological diversity index of the i-th fishery ecological region at the t-th collection time, represents an exponential function with a natural constant as base, is the pth vegetation proportion of the ith fishery eco-region at the tth collection time, is the number of plant species in the i-th fishery ecological area, is the proportion of the qth population in the ith fishery ecoregion at the tth collection time, is the number of species of organisms in the i-th fishery ecological area; The difference between the ecological diversity index of each fishery ecological region at each collection moment and the corresponding ecological diversity index at the next collection moment is used as the ecological diversity characteristic dissipation index of each fishery ecological region at each collection moment; The sum of the ecological diversity characteristic dissipation index of each fishery ecological region at all sampling times is taken as the ecological diversity degradation index of each fishery ecological region.
4. A method for restoring fishery ecological environment based on symbiotic competition mechanism as claimed in claim 1, characterized in that: The division of ecological degradation sign areas and ecological diversity areas based on all the ecological diversity degradation indices includes: The fishery ecological region with the ecological diversity degradation index greater than 0 is regarded as an ecological diversity region; The fishery ecological area with the ecological diversity degradation index less than or equal to 0 is regarded as an area showing signs of ecological degradation.
5. A method for restoring fishery ecological environment based on symbiotic competition mechanism as claimed in claim 3, characterized in that: The proportion of the species includes the vegetation proportion and the population proportion, and the calculation of the balance proportion of each species based on the ecological diversity degradation index of all the ecological diversity areas and the proportion of each species includes: The calculation result of the exponential function with the natural constant as the base and each of the ecological diversity degradation indexes as the exponent is used as the corresponding ecological diversity maintenance index, and the ecological diversity maintenance indexes of all the ecological diversity areas are normalized to obtain the ecological diversity reference weight of each ecological diversity area; The product of the proportion of each species in each ecological diversity zone and the ecological diversity reference weight of the corresponding ecological diversity zone is taken as the weighted proportion of each species in each ecological diversity zone, and the sum of the weighted proportions of each species in all the ecological diversity zones is taken as the balanced proportion of each species.
6. A method for restoring fishery ecological environment based on symbiotic competition mechanism as claimed in claim 1, characterized in that: The calculation of the corresponding competitive advantage and disadvantage imbalance factor based on the difference between the proportion of each species in each ecological degradation sign area and the balance proportion includes: The difference between the proportion of each species in each area with signs of ecological degradation and the balanced proportion is used as the imbalance factor of competitive advantage and disadvantage of each species in each area with signs of ecological degradation.
7. A method for restoring fishery ecological environment based on symbiotic competition mechanism as claimed in claim 1, characterized in that: The corresponding key species for ecological restoration are obtained based on the symbiotic competition norm matrix, the ecological environment strong dependence matrix and all the competitive advantage and disadvantage imbalance factors in each ecological degradation sign area, including: Adding all element values in the symbiotic competition specification matrix row by row to obtain the ecological key factor of each species; processing the ecological environment strong dependence matrix to obtain the ecological environment strong dependence index of each species; Based on the linear relationship between the ecological key factor of each species, the ecological environment strong dependence index and the corresponding competitive advantage and disadvantage imbalance factor, the corresponding ecological restoration key factor is calculated; Normalizing all the key factors for ecological restoration to obtain normalized key factors for ecological restoration of each species; The species in each ecological degradation sign area whose normalized key factor for ecological restoration is greater than a preset threshold are taken as corresponding key species for ecological restoration.
8. A method for restoring fishery ecological environment based on symbiotic competition mechanism as claimed in claim 1, characterized in that: The fishery ecological environment restoration is carried out in each area showing signs of ecological degradation based on the imbalance factors of competitive advantages and disadvantages and the balance ratios of all key species for ecological restoration, including: When the competitive advantage imbalance factor of the key species for ecological restoration is less than 0, the key species for ecological restoration will be increased based on the corresponding balance ratio; when the competitive advantage imbalance factor of the key species for ecological restoration is equal to 0, the number of the key species for ecological restoration will be kept unchanged; when the competitive advantage imbalance factor of the key species for ecological restoration is greater than 0, the key species for ecological restoration will be reduced based on the corresponding balance ratio.
9. A fishery ecological environment restoration system based on symbiotic competition mechanism, characterized in that: The system includes a processor, a memory, and a computer program stored in the memory and configured to be executed by the processor. When the processor executes the computer program, it implements a fishery ecological environment restoration method based on a symbiotic competition mechanism as described in any one of claims 1 to 8.
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