A method, device and system for evaluating the biocapacity of marine ranches

Abstract

The present application discloses a method, device and system for assessing the biocapacity of marine ranches based on multi-mode coupling, including: establishing a marine ranch hydrodynamic-ecological coupling model to couple hydrodynamic and biogeochemical processes; establishing a marine ranch energy flow model, accessing the output data of the hydrodynamic-ecological coupling model at the model data input end, constructing a multi-mode coupling model, coupling energy flow, hydrodynamics, and biogeochemical processes; calculating the marine ranch biocapacity based on the multi-mode coupling model, and automatically conducting a biocapacity assessment. The present method couples the marine ranch energy flow, hydrodynamics, and biogeochemical processes, improves the accuracy of the marine ranch biocapacity assessment, and sets up a marine ranch biocapacity assessment module to simplify the biocapacity assessment process and improve the effectiveness and practicality of the biocapacity assessment method. The present application also discloses a device and system for assessing the biocapacity of marine ranches, which has the above beneficial effects.

Description

Technical Field

[0001] The present invention relates to the field of marine ranch construction, and in particular to a method, device and system for assessing the biocapacity of a marine ranch based on multi-mode coupling. Background Art

[0002] Effectively assessing the biocapacity of marine ranches is one of the core contents of marine ranch construction and a guarantee for achieving sustainable development of marine ranches. At present, the main methods for assessing the biocapacity of marine ranches at home and abroad include empirical research method, instantaneous growth rate method, individual biological energy budget method, ecological dynamics method based on biogeochemical processes, and nutritional dynamics method. Among them, the empirical research method, instantaneous growth rate method, and individual biological energy budget method are all simple methods for estimating biocapacity. They do not comprehensively consider the impact of factors such as marine ranch food web, flow field, and basic productivity on biocapacity from the ecosystem level, and the assessment accuracy is low. The ecological dynamics method based on biogeochemical processes mainly focuses on the ecological processes of low trophic levels in marine ranches, and cannot effectively simulate the biological food web processes of higher trophic levels in marine ranches, so the accuracy of the assessment of higher trophic levels of biocapacity is low.

[0003] The current main method for evaluating the biocapacity of marine ranches is to establish the Ecopath energy flow model of marine ranches based on nutrient dynamics to evaluate the biocapacity. However, the existing Ecopath model is a closed ecosystem model that can only simulate the nutrient processes between the organisms in the marine ranch, and cannot simulate the hydrodynamic processes of the ecosystem and related biogeochemical processes such as inorganic nutrients. On the one hand, the energy flow changes caused by water exchange between the marine ranch and the external environment are ignored, so the model cannot accurately describe the energy flow of the marine ranch ecosystem and cannot achieve the purpose of accurately evaluating the biocapacity of the marine ranch; on the other hand, inorganic substances such as nutrients are fixed by primary producers such as phytoplankton to form the primary productivity of the marine ranch. Since the existing Ecopath model cannot simulate the relevant biogeochemical processes, it cannot effectively simulate the changes in primary productivity and biocapacity caused by changes in ecological factors such as nutrients and temperature in the marine ranch, which affects the accuracy of evaluating the biocapacity of the marine ranch. In addition, after the existing marine ranch Ecopath energy flow model is established, it is necessary to debug the biomass of different biological functional groups one by one to evaluate the biocapacity, and the operation process is cumbersome and time-consuming. In summary, the existing methods have certain defects in accurately evaluating the biocapacity of marine ranches. Summary of the invention

[0004] The present invention provides a method, device and system for evaluating the biocarrying capacity of an ocean ranch based on multi-mode coupling, which optimize the biocarrying capacity evaluation process of an ocean ranch and improve the efficiency and accuracy of the biocarrying capacity evaluation of an ocean ranch.

[0005] To achieve the above object, the present invention discloses the following technical solution:

[0006] A method for evaluating the biocapacity of a marine ranch, which calculates the biocapacity of each biological functional group of a marine ranch based on a multi-mode coupling model, and automatically evaluates the biocapacity, including the following steps:

[0007] Based on the correlation between ecological variables such as nutrients, phytoplankton, zooplankton and detritus, an ecological dynamics model of marine ranches based on biogeochemical processes was established to simulate the dynamic changes of various ecological variables over time.

[0008] A hydrodynamic model was established to simulate the changes in the velocity and direction of the ocean currents in the marine ranch. The equations for the dynamic changes of ecological variables such as nutrients, phytoplankton, zooplankton and detritus over time were substituted into the hydrodynamic equations. The ecological dynamics model and the hydrodynamic model were coupled to obtain the changes in nutrient concentration, biomass of phytoplankton, zooplankton and detritus, and production of phytoplankton and zooplankton under the influence of water convection and turbulent diffusion.

[0009] Divide marine ranch biological functional groups and establish a marine ranch energy flow model based on the ecosystem approach; input the phytoplankton biomass, production, zooplankton biomass, production and detritus biomass data output by the hydrodynamic-ecological coupling model into the energy flow model to establish a multi-mode coupling model that couples the hydrodynamic model, ecological dynamics model and energy flow model;

[0010] The biomass of a certain biological functional group at the critical point of energy flow balance in the marine ranch was calculated based on the multi-mode coupling model to obtain the biological carrying capacity of the marine ranch.

[0011] According to the method for assessing the biocapacity of marine ranches as claimed in claim 1, the functional group is plankton, organic debris, a fish, a fish at a certain age stage, or a class of species with similar ecological characteristics.

[0012] The marine ranch ecological dynamics model based on biogeochemical processes is established based on the correlation between ecological variables nutrients, phytoplankton, zooplankton and debris to simulate the dynamic changes of various ecological variables over time, including:

[0013] The carbon, nitrogen and phosphorus content of each module is used as the unit of exchange between modules to determine the model operation equation of the correlation between phytoplankton, zooplankton, detritus and nutrients modules;

[0014] The water depth, temperature, light, nutrient content and simulation time of the marine ranch area are measured as model input parameters, and the parameters of the marine ranch ecological dynamics model are iteratively optimized and adjusted.

[0015] The hydrodynamic model establishment comprises:

[0016] The water depth, coastline and topography data of the marine ranch construction area are obtained, and the marine ranch FVCOM hydrodynamic model is established to refine the ocean current pattern. The flow field conditions of the marine ranch construction area are simulated, and the predicted data simulated by the model are verified and debugged based on the measured results to obtain the marine ranch hydrodynamic model and obtain the ocean current velocity and direction data of the marine ranch water body.

[0017] The establishment of the marine ranch energy flow model comprises the following steps:

[0018] Divide marine ranch biological functional groups according to the composition of marine ranch biological communities;

[0019] By conducting marine ranch biological resource surveys, collecting fishery catch data, and consulting literature, we obtained data on each biological functional group in the marine ranch: including the biomass of each biological functional group, the ratio of production to biomass, the ratio of food intake to biomass, biological accumulation, migration, catch, and the food composition of each consumer organism and the proportion of undigested food.

[0020] The data of each biological functional group were used as input data, and based on the construction principle of Ecopath model, the energy flow model of marine ranch ecosystem of each biological functional group was established;

[0021] Verify and debug the energy balance of marine ranching ecosystems.

[0022] The energy flow model of the marine ranch ecosystem is established based on the balance between the input and output of substances or energy of a biological functional group in the ecosystem, which is expressed by the following formula:

[0023]

[0024] Among them, B i represents the biomass of functional group i; Bj represents the biomass of predator j; (P / B) i Represents the ratio of production to biomass of functional group i; (Q / B) j represents the ratio of predator j’s food intake to biomass; EE i represents the eco-trophic efficiency of functional group i; DC ji represents the proportion of functional group i in the food composition of predator j; BA i represents the bioaccumulation of functional group i; Y i represents the catch or harvest of functional group i; E i represents the net migration of functional group i.

[0025]

[0026] Among them, R i represents the respiration volume of functional group i; U i Represents the amount of undigested food of functional group i.

[0027] The established multi-mode coupling model is debugged as follows:

[0028] Make the EE value of each biological functional group less than or equal to 1, the ratio of production to respiration of each functional group P / R is not greater than 1, the ratio of respiration to biomass R / B of the biological functional group with greater swimming animal activity is greater than that of the biological functional group with less attached organism activity, and the food conversion efficiency P / Q value of each biological functional group is between 0.1 and 0.3.

[0029] Calculate the biomass of a biological functional group at the critical point of energy flow balance in the marine ranch to obtain the biological carrying capacity. The calculation method is as follows:

[0030] The critical point of energy flow balance of the marine ranch is to make the EE value of each biological functional group equal to 1;

[0031] The marine ranch biocarrying capacity is the biomass of each biological functional group corresponding to the critical point of energy flow balance.

[0032] A device for assessing the biocapacity of a marine ranch, comprising:

[0033] Energy model building module, used to build the marine ranch energy flow model based on the Ecopath model building principle;

[0034] A data association coupling module is used to connect the hydrodynamic-ecological coupling model coupled with the hydrodynamic model and the ecological dynamic model to the data input end of the established marine ranch energy flow model, so as to couple the marine ranch energy flow process with the hydrodynamic and biogeochemical processes;

[0035] Energy model debugging module, used to repeatedly optimize and debug the parameters of the ocean ranch energy flow model input data;

[0036] The carrying capacity assessment module is used to calculate the biological carrying capacity of each biological functional group based on the multi-mode coupling model, automatically perform biological carrying capacity assessment, and obtain the critical point biomass of each functional group.

[0037] A system for assessing the biocapacity of a marine ranch, comprising: at least one processor, and at least one memory in communication with the processor;

[0038] The memory stores program instructions executable on the processor;

[0039] The processor calls the program instructions to execute the steps of the method for assessing the biocapacity of marine ranches as described in any of the above items.

[0040] The effects provided in the content of the invention are only the effects of the embodiments, not all the effects of the invention. One of the above technical solutions has the following advantages or beneficial effects:

[0041] The embodiment of the present application provides a method for assessing the biocapacity of marine ranches based on multi-mode coupling. On the one hand, a new marine ranch ecosystem energy flow model is established based on the principle of the Ecopath model, and a hydrodynamic-ecological coupling model that couples the hydrodynamic model with the ecodynamic model based on the biogeochemical process is connected to the data input end of the energy flow model to couple the marine ranch energy flow process with the hydrodynamic and biogeochemical processes, thereby improving the accuracy of the marine ranch biocapacity assessment. On the other hand, based on the established multi-mode coupling model, the method of this embodiment sets up a marine ranch biocapacity assessment module, realizes the automatic assessment of the biocapacity of each biological functional group, simplifies the marine ranch biocapacity assessment process, and improves the effectiveness and practicality of the marine ranch biocapacity assessment method.

[0042] The embodiments of the present application provide a marine ranch biocarrying capacity assessment device and system based on multi-mode coupling, which can implement the method for assessing the biocarrying capacity of a marine ranch as described above and achieve the technical effects described above. BRIEF DESCRIPTION OF THE DRAWINGS

[0043] The accompanying drawings, which are incorporated in and constitute a part of the specification, illustrate embodiments consistent with the present application and, together with the description, serve to explain the principles of the present application.

[0044] Figure 1 This is a flow chart of a method for assessing the biocapacity of marine ranches based on multi-mode coupling according to the present invention;

[0045] Figure 2 yes Figure 1 Flowchart of the implementation process of the method;

[0046] Figure 3 is a diagram of an input interface for parameters of an ecosystem energy flow model established in an embodiment;

[0047] Figure 4 is an energy flow diagram between various biological functional groups of the marine ranch ecosystem of the embodiment;

[0048] Figure 5 This is a result diagram of automatic assessment of marine ranch biocapacity based on multi-mode coupling in an embodiment;

[0049] Figure 6It is a schematic diagram of the structure of a marine ranch biocapacity assessment device based on multi-mode coupling according to the present invention;

[0050] Figure 7 It is a structural schematic diagram of a marine ranch biocarrying capacity assessment system based on multi-mode coupling of the present invention. DETAILED DESCRIPTION

[0051] In order to enable those skilled in the art to better understand the technical solutions in the present invention, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings 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. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work should fall within the scope of protection of the present invention.

[0052] Figure 1 A flow chart of a method for assessing the biocapacity of a marine ranch based on multi-mode coupling provided by an embodiment of the present invention is shown. Figure 2 Shows Figure 1 Specific implementation flow chart of the method.

[0053] Reference Figure 1 , Figure 2 The method of this embodiment includes the following steps:

[0054] S1. Establish a marine ranch hydrodynamic-ecological coupling model to couple the marine ranch hydrodynamic process with the biogeochemical process;

[0055] Reference Figure 2 As shown, the specific implementation process of this step is as follows:

[0056] First, we consulted the data to obtain the water depth, coastline and topography data of the marine ranch construction area, established the marine ranch FVCOM hydrodynamic model to refine the ocean current model, simulated the flow field conditions of the marine ranch construction area, and verified and debugged the predicted data simulated by the model based on the measured results until the model simulation results matched the measured data, established the marine ranch hydrodynamic model, and obtained the ocean current velocity and flow direction data of the marine ranch water body;

[0057] Secondly, the marine ranch ecological dynamics model based on biogeochemical processes is divided into nutrient (N), phytoplankton (P), zooplankton (Z) and debris (D) modules, and the carbon, nitrogen and phosphorus content of each module is used as the exchange unit between the modules; the marine ranch-related biogeochemical processes are parameterized, and the operational equations of the correlation between the phytoplankton (P), zooplankton (Z), debris (D) and nutrient (N) modules are determined to construct the marine ranch ecological dynamics model framework. The water depth, temperature, light, nutrient content and simulation time of the marine ranch area are measured as model input parameters to construct the marine ranch ecological dynamics model.

[0058] The main interaction equations between nutrients, phytoplankton, zooplankton and detritus modules in the ecodynamic model are as follows:

[0059]

[0060]

[0061]

[0062]

[0063] Where N represents the concentration of a certain nutrient such as N or P in the marine ranch, P represents the biomass of phytoplankton, Z represents the biomass of zooplankton, D represents the biomass of detritus, f(I) represents the light intensity influence function that controls phytoplankton photosynthesis, V m represents the maximum growth rate of phytoplankton, K N represents the half-saturated concentration of phytoplankton during nutrient uptake, F(P, Z) represents the grazing rate of zooplankton on phytoplankton, and ε P represents the mortality rate of phytoplankton, ε Z represents the mortality rate of zooplankton, d N represents the decomposition rate of detrital nutrients in the internal cycle, γ represents the effective assimilation and feeding ratio coefficient of zooplankton, represents the phytoplankton production, and γF(P, Z) represents the zooplankton production.

[0064] The production of phytoplankton and zooplankton can be calculated based on their biomass, and then the dynamic changes of production can be obtained.

[0065] The specific function of light intensity that controls phytoplankton photosynthesis is:

[0066]

[0067] L=L(t)×exp[-(K back +Kp ×P)]×H (6)

[0068] The following parameters are measured: H represents the available light depth, L represents the light intensity that phytoplankton can use, S represents the water depth, L(t) represents the light intensity at the sea surface; X l represents the illumination half-saturation constant, K back Represents the light attenuation coefficient; K P represents the reference reaction rate of phytoplankton at 292K.

[0069] Among the above parameters, N, P, Z, D, H, L, S, and L(t) need to obtain specific parameter values ​​through actual measurement when the model is initially run, and other parameters are obtained by consulting the data and are existing parameter values.

[0070] Phytoplankton, zooplankton, water debris and nutrients in the ecological dynamics model are used as ecological variables and input into the control equation of the hydrodynamic model. Equations for the horizontal, vertical and turbulent diffusion of ecological variables such as phytoplankton, zooplankton, water debris and nutrients are established to couple the marine ranch hydrodynamic model and the ecological dynamics model. The coupling process is mainly based on the equation:

[0071]

[0072] Among them, C represents the concentration of one of the variables among phytoplankton, zooplankton, water debris and nutrients, t represents time, V represents the advection (including vertical flow) rate, D represents the horizontal or diffusion coefficient, SMS represents the source-sink term (source minus sink size), and the Hammett operator (▽) represents the partial differential of the variable C in the horizontal or vertical direction.

[0073] The hydrodynamic-ecological coupling model is constructed by simulating the dynamic changes of nutrient concentration, phytoplankton, zooplankton and detritus biomass, and phytoplankton and zooplankton production in marine ranches caused by water convection and turbulent diffusion based on the coupled model. The changes in carbon, nitrogen and phosphorus content in each module of the marine ranch are monitored to verify the changes in the content of relevant elements in each module of the ecological dynamics model. The hydrodynamic-ecological coupling model is further debugged and optimized. After the model runs for a specific period of time, the biomass, production, zooplankton biomass, production and detritus biomass parameter values ​​of marine ranches are output as input data for the marine ranch energy flow model.

[0074] S2. Establish an energy flow model for marine ranching;

[0075] Specifically, in this step, the process of establishing the energy flow model of the marine ranch ecosystem is as follows;

[0076] Firstly, based on the construction principle of Ecopath model, an open energy flow model system is established;

[0077] Then, conduct an environmental survey of marine ranch biological resources to determine the structure and composition of marine ranch biological communities;

[0078] Next, the marine ranch biological functional group division is carried out. In this process, the marine ranch ecosystem is defined as a series of ecologically interrelated biological functional groups. The biological functional group can be composed of plankton, organic detritus, a fish, a fish at a certain age, or a species with similar ecological characteristics (such as food composition, etc.). The biological functional group should include all material or energy flow processes in the ecosystem;

[0079] Next, we obtained data on the biomass of each biological functional group in the marine ranch, the ratio of production to biomass, the ratio of food intake to biomass, the food composition of each consumer biological functional group, and the proportion of undigested food;

[0080] Next, the above-obtained data is used as input data for the established energy flow model system to establish an energy flow model for the marine ranch ecosystem.

[0081] According to thermodynamics theory, the input and output of materials or energy of a biological functional group in an ecosystem are balanced, that is, the production is equal to the sum of the death by predation, the accumulation of organisms themselves, the catch, the migration and other deaths. It can be expressed mathematically as:

[0082]

[0083] or

[0084]

[0085] In the formula, B i represents the biomass of functional group i (which can be expressed in terms of energy, dry weight, wet weight, and nutrients such as C and N);

[0086] (P / B) i It represents the ratio of production to biomass of functional group i, which is obtained by consulting literature (except for phytoplankton and zooplankton biological functional groups, which are derived by hydrodynamic-ecological coupling model);

[0087] (Q / B) j represents the ratio of predator j’s food intake to biomass, which is obtained by consulting literature data;

[0088] Bj represents the biomass of predator j, and the parameter value is obtained by conducting a survey of marine ranch biological resources (except for zooplankton, which is derived through a hydrodynamic-ecological coupling model);

[0089] EE i Represents the eco-trophic efficiency of functional group i. This parameter value is the output of the energy flow model;

[0090] DC represents the food composition matrix with n states, which is composed of the food composition data of all consumer organisms in the ecosystem. The food composition data of each consumer organism is obtained by conducting stomach content analysis and stable isotope analysis, where n represents the number of predators and m represents the number of prey. It is used to express the predator-prey relationship between different biological functional groups in the ecosystem. DC ji represents the proportion of prey i (i.e., functional group i) in the food composition of predator j;

[0091] BA i It represents the bioaccumulation of functional group i. The parameter value is obtained by conducting a survey of marine ranch biological resources;

[0092] Y i It represents the catch or harvest of functional group i. The parameter value is obtained by counting the catch of marine ranch fisheries;

[0093] E i It represents the net migration of functional group i (migration out minus migration in). The parameter value is obtained by consulting literature.

[0094] According to formula (9), an Ecopath model of an ecosystem containing n biological functional groups can be expressed by the following n linear simultaneous equations:

[0095]

[0096]

[0097]

[0098]

[0099] Solve the above linear equations to obtain the eco-nutritional efficiency (EE) value parameters of each biological functional group.

[0100] The above equation represents the mass balance model related to production. Next, it is the mass balance model related to food intake, that is, the food intake of each biological functional group is equal to the sum of the production, respiration and undigested food of the biological functional group, which can be expressed as:

[0101]

[0102] In the formula, R i Represents the breathing volume of functional group i, and this parameter value is the output of the energy flow model;

[0103] U i It represents the amount of undigested food of functional group i. The parameter value is obtained by consulting literature.

[0104] Among the data that need to be input into the model, in general, the biomass B of each biological functional group i , production to biomass ratio (P / B) i , food intake to biomass ratio (Q / B) i , bioaccumulation BA i Migration amount E i , catch Y i And the biological food composition of each consumer, the proportion of undigested food U i It is the necessary input parameter to build the model.

[0105] S3, based on the marine ranch energy flow model established in step S2, access the data output by the hydrodynamic-ecological coupling model at the data input end of the model, establish a multi-mode coupling model based on the coupling of the hydrodynamic model, the ecological dynamics model and the energy flow model, and couple the energy flow process between marine ranch organisms with the hydrodynamic and biogeochemical processes;

[0106] Reference Figure 2 As shown, the specific implementation process of this step is as follows:

[0107] Based on the marine ranch ecosystem energy flow model established in step S2, a hydrodynamic-ecological dynamic coupling model data interface is set at the data input end of the model biomass and the ratio of production to biomass, and the parameter values ​​of phytoplankton biomass, production, zooplankton biomass, production and detrital biomass output by the hydrodynamic-ecological coupling model are used as the modeling input data of the marine ranch ecosystem energy flow model, and combined with the ratio of zooplankton feeding amount to biomass, zooplankton food composition and the proportion of undigested food, as well as the biomass of other biological functional groups, the ratio of production to biomass, the ratio of feeding amount to biomass, the composition of consumer biological food and the proportion of undigested food, as the input data of the marine ranch energy flow model, a multi-mode coupling model based on the coupling of the hydrodynamic model, the ecological dynamic model and the energy flow model is established to achieve the coupling of the marine ranch energy flow model with biogeochemical processes related to hydrodynamic processes, inorganic nutrients and the like.

[0108] S4. Debug the multi-mode coupling model of the ocean ranch;

[0109] Specifically, in the model debugging, the EE value of each biological functional group is usually less than or equal to 1 as the model debugging standard, because in the ecosystem, the EE value greater than 1 indicates that the ecosystem's utilization of the biological functional group is greater than its production. When the model is initially established, there may be multiple biological functional groups with EE values ​​greater than 1, and it is necessary to repeatedly debug the input parameters, such as biomass, the ratio of production to biomass, the ratio of food intake to biomass, and the food composition matrix. In addition, other parameters must also be set within a reasonable range. For example, the ratio of production to respiration of each functional group P / R (this parameter value is derived from the energy flow model) is not greater than 1, the biological functional group with more swimming animal activities has a respiration to biomass ratio R / B (this parameter value is derived from the energy flow model) greater than the biological functional group with less attached biological activities, and the food conversion efficiency P / Q value of each biological functional group is between 0.1 and 0.3.

[0110] S5. Calculate the biocapacity of each biological functional group based on the multi-mode coupling model and automatically evaluate the biocapacity;

[0111] Specifically, in this step, firstly, an algorithm for assessing the biocapacity of each biological functional group in the marine ranch is established. The implementation process of the algorithm is as follows: by gradually increasing the biomass of a certain biological functional group in the marine ranch, when the biomass of the biological functional group reaches a critical state where the balance of energy flow in the ecosystem is broken, that is, when the biomass is increased to the point where the production of a certain biological functional group in the ecosystem is insufficient to support the biomass of the target species, the biomass of the biological functional group under this critical state is the corresponding marine ranch biocapacity. Then, the biocapacity assessment algorithm of the biological functional group is imported into the multi-mode coupling model, and the biocapacity assessment algorithm is run based on the marine ranch multi-mode coupling model to automatically assess the biocapacity of each biological functional group. Compared with the existing assessment process, this method simplifies the marine ranch biocapacity assessment process and improves the effectiveness and practicality of the marine ranch biocapacity assessment method.

[0112] The method for evaluating the biocapacity of marine ranches in this embodiment can, to a certain extent, solve the technical problem of the lack of effective methods for evaluating the biocapacity of marine ranches in my country. The method can be applied to the evaluation of the biocapacity of different types of organisms in different sea areas of my country, such as the Yellow Sea, Bohai Sea, East China Sea, and South China Sea, as well as the evaluation of the biocapacity of target organisms in other freshwater areas and marine ecosystems.

[0113] Below, taking the Fuhan Ocean Ranch biocapacity assessment as an example, the application process of the above embodiment method is described in more detail.

[0114] First, the biological functional groups of Fuhan Ocean Ranch were divided;

[0115] Based on the survey of biological resources of Fuhan Ocean Ranch in 2018, the ocean ranch is divided into an ecosystem consisting of 21 biological functional groups, including pelagic fish and Xu's flathead mullet. The biological composition of each biological functional group is shown in Table 1 below:

[0116] Table 1 Composition of biological functional groups in Fuhan Ocean Ranch

[0117]

[0118]

[0119] Next, the parameter input of the energy flow model of the Fuhan Ocean Ranch ecosystem was constructed;

[0120] Based on the biological resource survey data of Fuhan Ocean Ranch, the biomass parameters of each biological functional group of Fuhan Ocean Ranch were obtained, and the P / B, Q / B and other parameter values ​​of each biological functional group of Fuhan Ocean Ranch were obtained by consulting literature and combining empirical formulas. The biomass, P / B, Q / B and other parameter values ​​of each biological functional group are shown in Table 2 below:

[0121] Table 2 Input parameter values ​​of biomass, P / B, Q / B, etc. for each biological functional group in Fuhan Ocean Ranch

[0122]

[0123] Next, by conducting experiments such as stomach content analysis and stable isotope analysis, and combining relevant literature data, we obtained the food composition parameters of each biological functional group of consumers of Fu Han Ocean Ranch. The biological food composition matrix of each consumer of Fu Han Ocean Ranch is shown in Table 3 and Table 4 below:

[0124] Table 3 Fuhan Ocean Ranch Consumer Biological Food Composition Matrix 1

[0125]

[0126] Table 4 Fuhan Ocean Ranch Consumer Biological Food Composition Matrix 2

[0127]

[0128]

[0129] The input parameters of each biological functional group of Fu Han Ocean Ranch, such as biomass, P / B value, Q / B value, food composition matrix, etc., were input into the constructed ecosystem model software as shown below: Figure 3 shown.

[0130] After inputting the biomass, P / B value, Q / B value, food composition and other parameters of each biological functional group in Fuhan Ocean Ranch, the energy flow model of Fuhan Ocean Ranch ecosystem was obtained as follows: Figure 4 shown.

[0131] Finally, based on the established marine ranch ecosystem energy flow model, the biocapacity assessment algorithm of each biological functional group in the marine ranch was introduced to automatically assess the biocapacity of each biological functional group. The assessment results are as follows: Figure 5 shown.

[0132] The present invention also provides a device for evaluating the biocapacity of an ocean ranch, by means of which the biocapacity of an ocean ranch can be evaluated. The device described below can be referenced in correspondence with the method described above.

[0133] Figure 6 A schematic diagram of the structure of a device for evaluating the bio-carrying capacity of a marine ranch provided by an embodiment of the present invention is shown.

[0134] Reference Figure 6 , the device of this embodiment includes:

[0135] Hydrodynamic-ecological coupling model establishment module 1 is used to establish a marine ranch hydrodynamic-ecological coupling model based on the hydrodynamic model and the ecological dynamic model, coupling the marine ranch hydrodynamic process and biogeochemical process;

[0136] Energy model building module 2, used to build a marine ranch energy flow model based on the Ecopath model building principle;

[0137] The multi-mode coupling model building module 3 is used to connect the hydrodynamic-ecological coupling model to the data input end of the established marine ranch energy flow model, couple the marine ranch energy flow process with the hydrodynamic process and the biogeochemical process, and establish a multi-mode coupling model;

[0138] The multi-mode coupling model debugging module 4 is used to debug the multi-mode coupling model of the ocean ranch;

[0139] The carrying capacity assessment module 5 is used to calculate the biological carrying capacity of each biological functional group based on the multi-mode model and automatically perform biological carrying capacity assessment.

[0140] Based on the above device, further, the hydrodynamic-ecological coupling module 1 specifically includes:

[0141] A hydrodynamic model building unit, used to build a marine ranch hydrodynamic model based on hydrodynamic parameters;

[0142] Ecological dynamics model building unit, used to build ecological dynamics models based on biogeochemical processes based on parameters such as nutrients;

[0143] The coupling model building unit substitutes the time-varying equations of ecological variables such as nutrients in the ecological dynamics model into the hydrodynamic equation, couples the ecological dynamics model and the hydrodynamic model, and constructs a hydrodynamic-ecological coupling model;

[0144] Furthermore, the energy model building module 2 specifically includes:

[0145] Resource survey and functional group division unit, used to divide marine ranch organisms into functional groups and obtain relevant model input data;

[0146] Energy model building unit, used to build an ecosystem energy flow model based on the Ecopath model principle;

[0147] The mass balance verification and debugging unit is used to verify and debug the mass balance of the ecosystem.

[0148] Furthermore, the multimode coupling model construction module 3 specifically includes:

[0149] The output data of the hydrodynamic-ecological coupling model is used as the modeling input parameters of the marine ranch energy flow model to couple the marine ranch energy flow process with the hydrodynamic and biogeochemical processes.

[0150] In addition, the present invention also provides a system for evaluating the biocapacity of marine ranches. Similarly, the system described below can be referenced in correspondence with the method described above.

[0151] Reference Figure 7 , a system for evaluating the biocapacity of a marine ranch in this embodiment includes an input unit 10, a memory 20, a processor 30, and an output unit 40. The memory 20 stores program instructions that can be run on the processor, and the processor 30 calls the program instructions to execute the method for evaluating the biocapacity of a marine ranch in the above method embodiment. The input unit 10, the memory 20, the processor 30, and the output unit 40 can exchange data with each other through a communication bus. For the functions implemented by each unit and its combination, and the technical effects achieved, reference can be made to the description of the corresponding parts of the above method embodiment, which will not be repeated here.

[0152] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. For those skilled in the art, any modifications, improvements and equivalent substitutions made without departing from the principles of the present invention are all included in the protection scope of the present invention.

Claims

1. A method for assessing the biocapacity of marine ranches, characterized in that: The biocapacity of each biological functional group in the marine ranch is calculated based on the multi-mode coupling model, and the biocapacity assessment is automatically performed, including the following steps: S1. Based on the correlation between ecological variables such as nutrients, phytoplankton, zooplankton and detritus, an ecological dynamic model of marine ranching based on biogeochemical processes is established to simulate the dynamic changes of various ecological variables over time; including: The carbon, nitrogen and phosphorus content of each module is used as the unit of exchange between modules to determine the model operation equation of the correlation between phytoplankton, zooplankton, detritus and nutrients modules; Determine the water depth, temperature, light, nutrient content and simulation time of the marine ranch area as model input parameters, and iteratively optimize and adjust the parameters of the marine ranch ecological dynamics model; S2. Establish a hydrodynamic model to simulate the changes in the velocity and direction of the ocean currents in the marine ranch; substitute the equations for the dynamic changes of ecological variables such as nutrients, phytoplankton, zooplankton and detritus over time into the hydrodynamic equations, couple the ecological dynamic model with the hydrodynamic model, and obtain the changes in the concentration of nutrients, the biomass of phytoplankton, zooplankton and detritus, and the production of phytoplankton and zooplankton under the influence of water convection and turbulent diffusion; The establishment of the hydrodynamic model includes: obtaining the water depth, coastline and topography data of the marine ranch construction area, establishing the marine ranch FVCOM hydrodynamic model to refine the ocean current model, simulating the flow field conditions of the marine ranch construction area, and verifying and debugging the predicted data simulated by the model based on the measured results to obtain the marine ranch hydrodynamic model and obtain the ocean current velocity and flow direction data of the marine ranch water body; S3. Divide marine ranch biological functional groups and establish a marine ranch energy flow model based on the ecosystem approach; input the phytoplankton biomass, production, zooplankton biomass, production and detritus biomass data output by the hydrodynamic-ecological coupling model into the energy flow model to establish a multi-mode coupling model that couples the hydrodynamic model, ecological dynamics model and energy flow model; The establishment of the marine ranch energy flow model includes the following steps: Divide marine ranch biological functional groups according to the composition of marine ranch biological communities; By conducting marine ranch biological resource surveys, collecting fishery catch data, and consulting literature, we obtained data on each biological functional group in the marine ranch: including the biomass of each biological functional group, the ratio of production to biomass, the ratio of food intake to biomass, bioaccumulation, migration, catch, and the food composition of each consumer organism and the proportion of undigested food; The data of each biological functional group were used as input data, and based on the construction principle of Ecopath model, the energy flow model of marine ranch ecosystem of each biological functional group was established; Testing and debugging the energy balance of the marine ranch ecosystem; S4. Calculate the biomass of a certain biological functional group at the critical point of energy flow balance in the marine ranch based on the multi-mode coupling model to obtain the biological carrying capacity of the marine ranch.

2. A method for assessing the biocapacity of marine ranches according to claim 1, characterized in that: The functional group is plankton, organic debris, a fish or a group of species with similar ecological characteristics.

3. A method for assessing the biocapacity of marine ranches according to claim 1, characterized in that: The energy flow model of the marine ranch ecosystem is established based on the balance between the input and output of substances or energy of a biological functional group in the ecosystem, which is expressed by the following formula: Among them, B i represents the biomass of functional group i; Bj represents the biomass of predator j; (P / B) i Represents the ratio of production to biomass of functional group i; (Q / B) j represents the ratio of predator j’s food intake to biomass; EE i represents the eco-trophic efficiency of functional group i; DC ji represents the proportion of functional group i in the food composition of predator j; BA i represents the bioaccumulation of functional group i; Y i represents the catch or harvest of functional group i; E i represents the net migration of functional group i; Among them, R i represents the respiration volume of functional group i; U i Represents the amount of undigested food of functional group i.

4. A method for assessing the biocapacity of marine ranches according to claim 1, characterized in that: The established multi-mode coupling model is debugged as follows: Make the EE value of each biological functional group less than or equal to 1, the ratio of production to respiration of each functional group P / R is not greater than 1, the ratio of respiration to biomass R / B of the biological functional group with greater swimming animal activity is greater than that of the biological functional group with less attached organism activity, and the food conversion efficiency P / Q value of each biological functional group is between 0.1 and 0.

3.

5. A method for assessing the biocapacity of marine ranches according to claim 1, characterized in that: Calculate the biomass of a biological functional group at the critical point of energy flow balance in the marine ranch to obtain the biological carrying capacity. The calculation method is as follows: The critical point of energy flow balance of the marine ranch is to make the EE value of each biological functional group equal to 1; The marine ranch biocarrying capacity is the biomass of each biological functional group corresponding to the critical point of energy flow balance.

6. A device for evaluating the biocapacity of a marine ranch, used to implement a method for evaluating the biocapacity of a marine ranch as described in any one of claims 1 to 5, characterized in that: include: Energy model building module, used to build the marine ranch energy flow model based on the Ecopath model building principle; A data association coupling module is used to connect the hydrodynamic-ecological coupling model coupled with the hydrodynamic model and the ecological dynamic model to the data input end of the established marine ranch energy flow model, so as to couple the marine ranch energy flow process with the hydrodynamic and biogeochemical processes; Energy model debugging module, used to repeatedly optimize and debug the parameters of the ocean ranch energy flow model input data; The carrying capacity assessment module is used to calculate the biological carrying capacity of each biological functional group based on the multi-mode coupling model, automatically perform biological carrying capacity assessment, and obtain the critical point biomass of each functional group.

7. A system for assessing the biocapacity of marine ranches, characterized in that: include: at least one processor, and at least one memory communicatively connected to the processor; The memory stores program instructions executable on the processor; The processor calls the program instructions to execute the steps of the method for assessing the biocapacity of a marine ranch as described in any one of claims 1 to 5.

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