Blue carbon comprehensive management method and management system for fishery breeding and medium

Abstract

The invention relates to the technical field of fishery breeding, in particular to a blue carbon comprehensive management method and management system for fishery breeding and a medium, and the method comprises the steps: dividing a to-be-managed fishery breeding region according to biological species to obtain a plurality of divided regions; identifying a basic parameter corresponding to each divided area, and determining an initial carbon sink index corresponding to each divided area according to the basic parameter of each divided area; obtaining an influence factor of each divided area, and determining a corrected carbon sink index corresponding to each divided area based on the influence factor of each divided area; determining a regional carbon sink index of each divided region based on the initial carbon sink index and the corrected carbon sink index of each divided region; and integrating the regional carbon sink indexes of all the divided regions to obtain the total carbon sink index of the to-be-managed fishery breeding region. According to the invention, the blue carbon management precision is improved, so that the fishery breeding strategy is accurately optimized.

Description

Technical Field

[0001] The present application relates to the field of fishery farming technology, and in particular to a blue carbon integrated management method, management system and medium for fishery farming. Background Art

[0002] Faced with the dual challenges of global climate change and the sustainable use of marine resources, the integrated management of blue carbon in aquaculture has become a focus of international attention. Blue carbon, carbon fixed through biological processes in marine ecosystems, plays an irreplaceable role in mitigating the greenhouse effect and maintaining marine ecological balance. Aquaculture areas, particularly those involved in shellfish and algae farming, as well as mangrove and seagrass ecosystems, serve as significant carbon sinks. These ecosystems can store large amounts of carbon over long periods of time through processes such as biological carbon sequestration and sediment burial, contributing to the mitigation of global warming.

[0003] Traditional blue carbon management mainly relies on manual sampling or single parameter monitoring, which easily ignores the interaction between aquaculture, environment and ecology. Therefore, it may lead to low accuracy of blue carbon management. If the accuracy of blue carbon management is insufficient, it may have a negative impact on the aquaculture process, thereby causing a decline in fishery production and frequent diseases. It may also increase the compensation costs caused by environmental damage. Summary of the Invention

[0004] In order to improve the accuracy of blue carbon management and thus accurately optimize aquaculture strategies, this application provides a blue carbon integrated management method, management system and medium for aquaculture.

[0005] In the first aspect, the present application provides a method for integrated blue carbon management for aquaculture, which adopts the following technical solutions: An integrated approach to blue carbon management for aquaculture, including: The fishery aquaculture area to be managed is divided according to the species of organisms to obtain multiple divided areas; Identify the basic parameters corresponding to each divided area, and determine the initial carbon sink indicators corresponding to each divided area based on the basic parameters of each divided area; Obtaining the impact factor of each divided area, and determining the corrected carbon sink index corresponding to each divided area based on the impact factor of each divided area; Determine the regional carbon sink index of each divided area based on the initial carbon sink index and the revised carbon sink index of each divided area; The regional carbon sink indicators of all divided areas are integrated to obtain the total carbon sink indicator of the fishery aquaculture area to be managed.

[0006] By adopting the above technical solution, since there are significant differences in the carbon sequestration efficiency corresponding to different biological species, the fishery breeding areas to be managed are divided by biological species, and then the initial carbon indicators of each divided area are differentially analyzed based on the basic parameters of each divided area, rather than using an overall or fixed analysis method to determine the initial carbon sink indicator. This is convenient for improving the adaptability between the initial carbon sink indicator and the actual carbon sequestration situation of the corresponding divided area. By analyzing the impact of the influencing factors corresponding to each divided area on the carbon sequestration process, and based on this, the initial carbon sink indicator is targetedly corrected to avoid over-correction or under-correction. Finally, the total carbon sink indicator is obtained by integrating the regional carbon sink indicators corresponding to each divided area, which is convenient for more accurately evaluating the carbon sequestration capacity of the fishery breeding areas to be managed, thereby providing more reasonable fishery breeding strategies for relevant breeding personnel.

[0007] In one possible implementation, when the influencing factors include environmental influencing factors, aquaculture influencing factors, and ecological association influencing factors, determining the modified carbon sink index corresponding to the divided region based on the influencing factors of the divided region includes: Identifying carbon sequestration analysis objects corresponding to the divided areas; Identifying an environmental correction feature from the environmental impact factors corresponding to the divided areas based on the carbon sequestration analysis object, and determining an environmental impact carbon sink value based on the environmental correction index; Identifying aquaculture correction features from aquaculture impact factors corresponding to the divided areas based on the carbon sequestration analysis object, and determining aquaculture impact carbon sink values ​​based on the aquaculture correction indicators; Identifying an ecological correlation correction feature from the ecological correlation impact factors corresponding to the divided areas based on the carbon sequestration analysis object, and determining an ecological correlation impact carbon sink value based on the ecological correlation correction index; The modified carbon sink index corresponding to the divided area is determined according to the environmental impact carbon sink value, the aquaculture impact carbon sink value and the ecological association impact carbon sink value.

[0008] By adopting the above technical solution, by converting implicit factors such as environmental pressure, breeding activities and ecological correlation into quantifiable carbon sink values, it is easy to clarify the gain or offset effect of environmental impact factors, breeding impact factors and ecological correlation impact factors on carbon sink indicators. By summarizing the carbon sink values ​​of the three types of environmental, breeding and ecological impacts, and determining the carbon sink indicators that need to be revised in the divided areas based on the summary results, it is easy to improve the credibility of the final regional carbon sink indicators of the divided areas.

[0009] In a possible implementation, after obtaining the total carbon sink index of the fishery aquaculture area to be managed, the method further includes: Obtaining a carbon sequestration target demand corresponding to the fishery aquaculture area to be managed, and determining whether aquaculture strategy optimization is required for the fishery aquaculture area to be managed based on the carbon sequestration target demand and the total carbon sequestration index; If so, determine the optimization guide list corresponding to each divided area based on the environmental impact carbon sink value, aquaculture impact carbon sink value, and ecological association impact carbon sink value corresponding to each divided area, and generate an aquaculture optimization list based on the regional carbon sink index of each divided area; Optimization feedback data is generated based on the breeding optimization list and the optimization guidance list corresponding to each divided area in the breeding optimization list.

[0010] By adopting the above technical solution, by superimposing the optimization guidance list of each divided area into the breeding optimization list, it is convenient to formulate more refined breeding management strategy optimization opinions based on the actual conditions and needs of different divided areas, which helps to make full use of the resource endowments of each divided area and avoid a "one-size-fits-all" management approach. In addition, a breeding optimization list is generated through the regional carbon sequestration indicators corresponding to each divided area, and each divided area is prioritized. The optimization feedback data is generated through the breeding optimization list, which facilitates relevant staff to optimize the breeding strategies of multiple divided areas in an orderly manner according to the urgency of the optimization, thereby improving the standardization and accuracy of the breeding strategy optimization process.

[0011] In a possible implementation, after determining the regional carbon sequestration index for each divided region, the method further includes: Obtaining a regional layer corresponding to the fishery aquaculture area to be managed, and after quantifying the regional carbon sink indicator layer of each divided area, superimposing the layer quantification result onto the regional layer to obtain a carbon sink superimposed layer; Obtaining the total carbon amount of the fishery aquaculture area to be managed in a preset time period, and determining a predicted carbon sink movement trajectory layer corresponding to the fishery aquaculture area to be managed in the preset time period based on the total carbon amount; Based on the predicted carbon sink movement trajectory layer and the carbon sink overlay layer, an abnormal layer area is determined, and an early warning is issued based on the abnormal layer area.

[0012] By adopting the above technical solution, the regional carbon sink indicators of each divided area are quantified in layers and the layers are superimposed, which facilitates the intuitive viewing of the carbon sequestration situation in the fishery breeding areas to be managed. In addition, by analyzing the total amount of carbon that may be reached in the future and predicting the movement trajectory layer of the total amount of carbon in the future, it is convenient to evaluate the carbon sequestration response capacity of each divided area in the future. By superimposing and comparing the predicted carbon sink movement trajectory layer and the carbon sink superposition layer, it is convenient to timely discover areas that may have insufficient carbon sequestration capacity in the future. Through early warning, relevant staff can take response measures in advance to reduce losses caused by insufficient carbon sequestration capacity.

[0013] In one possible implementation, determining the predicted carbon sink movement trajectory layer corresponding to the fishery aquaculture area to be managed during the preset time period based on the total carbon amount includes: Obtaining the hydrodynamic parameters of the fishery breeding area to be managed corresponding to the preset time period; Obtaining integrated carbon sink index data corresponding to a preset integrated time period, determining a carbon sequestration rate corresponding to each divided area based on the integrated carbon sink index data, and determining a carbon cycle parameter corresponding to the fishery aquaculture area to be managed in the preset time period based on the carbon sequestration rate corresponding to each divided area; Determining a predicted carbon sink migration path based on the hydrodynamic parameters and the carbon cycle parameters; Determine a partition layer value corresponding to each partition area based on the total carbon amount and the carbon sequestration rate of each partition area; The division layer value corresponding to each division area is superimposed on the predicted carbon sink movement path to obtain the carbon sink movement trajectory layer.

[0014] By adopting the above technical solution and combining the hydrodynamic field with the carbon cycle field, it is easy to improve the spatiotemporal continuity and spatiotemporal accuracy of the predicted carbon sink movement path. In addition, by superimposing the division layer values ​​of each divided area into the predicted carbon sink movement path, it is easy to intuitively understand the corresponding carbon trend in the future period while intuitively viewing the carbon sequestration tasks that each divided area needs to deal with.

[0015] In one possible implementation, determining the abnormal layer area based on the predicted carbon sink movement trajectory layer and the carbon sink overlay layer includes: Determine the predicted path layer area and the predicted carbon sink change value corresponding to the predicted path layer area based on the predicted carbon sink movement trajectory layer; Update the carbon sink overlay layer according to the predicted carbon sink change value corresponding to each predicted path layer area to obtain an updated overlay layer; A safety layer is determined based on the predicted carbon sink movement trajectory, and an abnormal layer area is determined from the updated overlay layer based on the safety layer. The abnormal layer area is a layer area in the updated overlay layer that is located outside the safety layer.

[0016] By adopting the above technical solution, the predicted carbon sink movement trajectory layer is refined into multiple predicted pathway layer areas, which facilitates the improvement of spatial resolution. The carbon sink overlay layer is accurately updated based on the respective predicted pathway layer areas obtained after refinement, which facilitates the reduction of averaging in the updating process, thereby facilitating the improvement of the accuracy when updating the carbon sink overlay layer. By analyzing the predicted carbon sink movement trajectory layer, the corresponding risk boundary is determined, and the layer area beyond the boundary is determined as an abnormal area, rather than using a fixed risk value for anomaly identification, which facilitates the improvement of the accuracy when determining the abnormal layer area.

[0017] In a second aspect, the present application provides a management system that adopts the following technical solutions: A management system, comprising: at least one processor; Memory; At least one application, wherein the at least one application is stored in a memory and configured to be executed by at least one processor, and the at least one application is configured to: execute the above-mentioned blue carbon integrated management method for fishery aquaculture.

[0018] In a third aspect, the present application provides a computer-readable storage medium, which adopts the following technical solution: A computer-readable storage medium, comprising: a computer program that can be loaded by a processor and executed by the above-mentioned integrated blue carbon management method for fishery aquaculture.

[0019] In a fourth aspect, the present application provides a computer program product that adopts the following technical solution: A computer program product comprises a computer program, which, when executed by a processor, implements the above-mentioned integrated blue carbon management method for fishery aquaculture.

[0020] In summary, this application includes at least one of the following beneficial technical effects: Since there are significant differences in the carbon sequestration efficiency corresponding to different biological species, the fishery breeding areas to be managed are divided by biological species, and then the initial carbon indicators of each divided area are differentially analyzed based on the basic parameters of each divided area, rather than using an overall or fixed analysis method to determine the initial carbon sink indicator. This is convenient for improving the adaptability between the initial carbon sink indicator and the actual carbon sequestration situation of the corresponding divided area. By analyzing the impact of the influencing factors corresponding to each divided area on the carbon sequestration process, and based on this, the initial carbon sink indicator is targetedly corrected to avoid over-correction or under-correction. Finally, the total carbon sink indicator is obtained by integrating the regional carbon sink indicators corresponding to each divided area, which is convenient for more accurately evaluating the carbon sequestration capacity of the fishery breeding areas to be managed, thereby providing more reasonable fishery breeding strategies for relevant breeding personnel.

[0021] By quantifying the regional carbon sink indicators of each divided area and superimposing the various layers, it is convenient to intuitively view the carbon sequestration situation in the fishery breeding areas to be managed. In addition, by analyzing the total amount of carbon that may be reached in the future and predicting the movement trajectory layer of the total amount of carbon in the future, it is convenient to evaluate the carbon sequestration response capacity of each divided area in the future. By superimposing and comparing the predicted carbon sink movement trajectory layer and the carbon sink overlay layer, it is convenient to timely discover areas that may have insufficient carbon sequestration capacity in the future. Through early warning, relevant staff can take response measures in advance to reduce losses caused by insufficient carbon sequestration capacity. BRIEF DESCRIPTION OF THE DRAWINGS

[0022] Figure 1 This is a flow chart of a method for integrated blue carbon management in aquaculture according to an embodiment of the present application; Figure 2 This is a flowchart of an abnormal warning in an embodiment of the present application; Figure 3 It is a structural diagram of a management system in an embodiment of the present application. DETAILED DESCRIPTION

[0023] The following is combined with Figures 1 to 3 This application is described in further detail.

[0024] After reading this specification, those skilled in the art may make non-creative modifications to this embodiment as needed, but such modifications are protected by patent law as long as they fall within the scope of the claims of this application.

[0025] To make the purpose, technical solutions, and advantages of the embodiments of this application more clear, the technical solutions in the embodiments of this application will be clearly and completely described below in conjunction with the drawings in the embodiments of this application. Obviously, the described embodiments are part of the embodiments of this application, not all of the embodiments. Based on the embodiments in this application, all other embodiments obtained by ordinary technicians in this field without making creative efforts are within the scope of protection of this application.

[0026] It should be noted that in the optional embodiments of the present application, the object information and other related data involved, when the embodiments in the present application are applied to specific products or technologies, need to obtain the permission or consent of the object, and the collection, use and processing of the relevant data need to comply with the relevant laws, regulations and standards of the relevant countries and regions. In other words, if the embodiments of the present application involve data related to the object, it needs to be obtained through the authorization and consent of the object, the authorization and consent of the relevant departments, and in compliance with the relevant laws, regulations and standards of the country and region. If personal information is involved in the embodiments, the acquisition of all personal information requires the consent of the individual. If sensitive information is involved, the separate consent of the information subject needs to be obtained. The embodiments also need to be implemented with the authorization and consent of the object.

[0027] Specifically, the embodiments of the present application provide a method for integrated blue carbon management in fish farming, which is executed by a management system, which can be a server or a terminal device. The server can be an independent physical server, a server cluster or distributed system composed of multiple physical servers, or a cloud server providing cloud computing services. The terminal device can be a smartphone, tablet computer, laptop computer, desktop computer, etc., but is not limited thereto. The terminal device and the server can be directly or indirectly connected via wired or wireless communication, which is not limited in the embodiments of the present application.

[0028] refer to Figure 1 , Figure 1 : is a flow chart of a method for integrated blue carbon management in aquaculture according to an embodiment of the present application, the method comprising steps S110 to S150, wherein: Step S110: Divide the fishery breeding area to be managed according to the species of organisms to obtain a plurality of divided areas.

[0029] Specifically, the fishery aquaculture areas to be managed are aquaculture areas that require blue carbon management. The fishery aquaculture areas to be managed contain a variety of organisms that have the ability to fix and store carbon dioxide, such as filter-feeding shellfish, algae, mangroves, and seagrass beds. Among them, filter-feeding shellfish include but are not limited to oysters, clams, etc., which can effectively remove suspended particles in the water by filtering, thereby promoting the sedimentation and burial of these particles, mainly by reducing the organic matter load in the water, thereby promoting carbon deposition and storage; algae include but are not limited to kelp, laver, etc., which mainly fix carbon dioxide through photosynthesis; mangroves and seagrass beds mainly fix carbon dioxide through photosynthesis. At the same time, the activities of mangrove fish that coexist with mangroves, and seagrass bed fish that coexist with seagrass beds, also help maintain the ecological health and functions of mangroves and seagrass beds, thereby facilitating the storage of carbon dioxide by mangroves and seagrass beds. Since different biological species have different carbon fixation capabilities and carbon sink contributions, for example, algae have a strong ability to fix carbon dioxide through photosynthesis, while shellfish have a weak ability to fix carbon dioxide when promoting carbon deposition through filter feeding. Therefore, when conducting integrated blue carbon management of managed fishery aquaculture areas, the managed fishery aquaculture areas can be preliminarily divided based on biological species. The virtual model of the managed aquaculture area can be simulated and divided based on the aquaculture data uploaded to the management system in advance by the relevant aquaculture personnel, and the image of the managed fishery aquaculture area can also be divided by image. The specific division method is not specifically limited in the embodiments of this application.

[0030] Step S120: identifying basic parameters corresponding to each divided area, and determining an initial carbon sink index corresponding to each divided area according to the basic parameters of each divided area.

[0031] Specifically, the basic parameters include carbon sequestration efficiency and carbon sequestration area, which are mainly used to evaluate the basic carbon sequestration capacity corresponding to each divided area. Carbon sequestration efficiency refers to the ability of organisms to fix carbon dioxide per unit area, usually expressed as the amount of carbon sequestered per unit area. When determining the basic parameters corresponding to the divided area, the biological species corresponding to the divided area can be first identified from the regional image containing the divided area according to the preset feature recognition algorithm, or the biological species corresponding to the divided area can be determined from the recorded data uploaded after manual statistics by the relevant breeding personnel, and then the carbon sequestration efficiency of the biological species corresponding to the divided area is determined based on the preset carbon sequestration data mapping relationship. The preset carbon sequestration data mapping relationship is the correspondence between biological species and carbon sequestration efficiency. The preset carbon sequestration data mapping relationship can be determined by the relevant breeding personnel based on historical laboratory research or field observations and uploaded to the management system in advance. The specific content of the preset carbon sequestration data mapping relationship and the specific preset feature recognition algorithm are not specifically limited in the embodiments of this application. The carbon sequestration area refers to the area actually used for carbon sequestration in each divided area. For the divided area, it can be the area of ​​the aquaculture pond, mangrove protection area, seagrass bed protection area and other areas within the divided area. The carbon sequestration area of ​​the divided area may be the same as the area of ​​the divided area, or it may be different. To determine the carbon sequestration area within a designated area, satellite remote sensing technology can be used to map the designated area and obtain data on the carbon sequestration area of ​​the corresponding aquaculture ponds, mangrove reserves, or seagrass beds. This method can be used to determine the basic parameters for each designated area.

[0032] The carbon sequestration efficiency of each divided area can be multiplied by its carbon sequestration area through a preset multiplication model to obtain the initial carbon sink index of each divided area. The preset multiplication model can be: initial carbon sink index = carbon sequestration efficiency × carbon sequestration area. The initial carbon sink index refers to the preliminary estimate of the amount of carbon dioxide that can be fixed and stored in each divided area through the carbon sequestration of its internal biological species and ecosystems within a specific time period.

[0033] Step S130: Obtain the impact factor of each divided area, and determine the corrected carbon sink index corresponding to each divided area based on the impact factor of each divided area.

[0034] Step S140: determining a regional carbon sink index for each divided region based on the initial carbon sink index and the revised carbon sink index for each divided region.

[0035] Specifically, each divided area has one and only one carbon fixation analysis object, but a divided area may contain multiple influencing factors. The carbon fixation analysis object of a divided area may not be the object with the strongest carbon fixation ability in the divided area, but it is an object of attention for a certain divided area. For example, a certain divided area is a fish pond, in which oysters and seaweed are cultured. Although oysters and seaweed both have carbon fixation capabilities, when the carbon fixation analysis object is oysters, seaweed can be regarded as an object that is ecologically related to the carbon fixation analysis object, that is, one of the influencing factors of the carbon fixation analysis object. Correspondingly, when the carbon fixation analysis object is seaweed, oysters can be regarded as an object that is ecologically related to the carbon fixation analysis object, that is, one of the influencing factors of the carbon fixation analysis object. Correspondingly, when the carbon fixation analysis object is seaweed, oysters can be regarded as an object that is ecologically related to the carbon fixation analysis object, that is, one of the influencing factors of the carbon fixation analysis object.

[0036] For any divided area, the influencing factors include but are not limited to environmental factors, aquaculture factors, and ecological correlation factors. After analyzing the impact of all influencing factors on the carbon sequestration process of the carbon sequestration analysis object, the initial carbon sink index corresponding to the divided area is revised based on the analysis results to improve the credibility of the final regional carbon sink index of the divided area. Furthermore, based on the influencing factors of the divided area, when determining the revised carbon sink index corresponding to the divided area, the following can be specifically included: Identify the carbon sequestration analysis objects corresponding to the divided areas; identify the environmental correction characteristics from the environmental impact factors corresponding to the divided areas based on the carbon sequestration analysis objects, and determine the environmental impact carbon sink value based on the environmental correction index; identify the aquaculture correction characteristics from the aquaculture impact factors corresponding to the divided areas based on the carbon sequestration analysis objects, and determine the aquaculture impact carbon sink value based on the aquaculture correction index; identify the ecological correlation correction characteristics from the ecological correlation impact factors corresponding to the divided areas based on the carbon sequestration analysis objects, and determine the ecological correlation impact carbon sink value based on the ecological correlation correction index; determine the corrected carbon sink index corresponding to the divided areas based on the environmental impact carbon sink value, the aquaculture impact carbon sink value and the ecological correlation impact carbon sink value.

[0037] Specifically, the carbon sequestration analysis objects contained in the divided area can be identified based on the preset feature recognition algorithm. Each organism with carbon sequestration ability in the divided area can participate in a carbon sink index correction as a carbon sequestration analysis object. The specific preset feature recognition algorithm is not specifically limited in the embodiments of this application.

[0038] Environmental influencing factors include but are not limited to dissolved oxygen, pH value, water temperature, nutrient concentration, light intensity, light duration, sediment organic carbon content, etc. Among them, dissolved oxygen will directly affect the respiration and metabolic efficiency of some carbon fixation analysis objects, thereby affecting their carbon fixation and release; pH value can reflect the acidity and alkalinity of the water body, which may affect the calcification process of shellfish and the carbon assimilation efficiency of algae; water temperature may affect the activity of biological enzymes, thereby affecting the growth rate and carbon metabolic efficiency of some carbon fixation analysis objects; nutrient concentration can drive the productivity of some carbon fixation analysis objects, but excessive nutrient concentration may lead to eutrophication, thereby triggering algal blooms or causing hypoxia in some carbon fixation analysis objects; sediment organic carbon content can reflect the bottom carbon storage, which may affect the carbon burial rate and long-term storage capacity of some carbon fixation analysis objects; light intensity and duration may drive algal photosynthesis, but excessive light may lead to photoinhibition, reducing the carbon assimilation efficiency of some carbon fixation analysis objects.

[0039] The environmental correction characteristics are part of the environmental influencing factors. Different carbon fixation analysis objects correspond to environmental correction characteristics, that is, not all environmental influencing factors will affect the carbon fixation process of each carbon fixation analysis object. For example, there are two existing carbon fixation analysis objects, namely carbon fixation analysis object a and carbon fixation analysis object b, and there are four environmental influencing factors, namely factor 1, factor 2, factor 3 and factor 4. Among them, the environmental correction characteristics corresponding to carbon fixation analysis object a are factor 1, factor 2 and factor 3, while the environmental correction characteristic factors corresponding to carbon fixation analysis object b are factor 2, factor 3 and factor 4. The environmental correction characteristics corresponding to the solid analysis object can be determined according to the preset environmental correction characteristic mapping relationship, wherein the preset environmental correction characteristic mapping relationship includes the environmental correction characteristics corresponding to various solid analysis objects. The specific content is not specifically limited in the embodiment of this application, and can be determined by relevant breeding personnel based on historical breeding experience and uploaded to the management system. After determining the environmental correction characteristics, the characteristic impact value corresponding to each environmental correction characteristic can be determined based on the preset environmental impact mapping relationship, and then all the characteristic impact values ​​can be integrated to obtain the environmental impact carbon sink value, wherein the preset environmental impact mapping relationship is the correspondence between the environmental correction characteristics and the characteristic impact values. The specific content of the preset environmental impact mapping relationship is not specifically limited in the embodiment of this application, and can be determined by relevant breeding personnel based on historical breeding experience and uploaded to the management system. The environmental impact carbon sink value is used to reflect the impact of environmental impact factors on the carbon sequestration process of the carbon sequestration analysis object in the divided area.

[0040] Farming influencing factors include but are not limited to filter feeding rate, farming density and drug use, among which filter feeding efficiency directly affects the feeding and growth of the carbon fixation analysis object, which may affect its carbon fixation capacity; farming density indirectly affects carbon fixation efficiency by affecting the growth performance and health status of the carbon fixation analysis object; drug use may change its carbon fixation capacity by affecting the physiological function and immunity of the carbon fixation analysis object. Irrational use of drugs may lead to drug residues and environmental pollution, thereby affecting the health of the carbon fixation analysis object. Farming correction characteristics are part of the farming influencing factors. Different carbon fixation analysis objects correspond to farming correction characteristics, that is, not all farming influencing factors will affect the carbon fixation process of each carbon fixation analysis object. The farming correction characteristics corresponding to the solid analysis object can be determined according to the preset farming correction characteristic mapping relationship, wherein the preset farming correction characteristic mapping relationship includes farming correction characteristics corresponding to various solid analysis objects. The specific content is not specifically limited in the embodiment of this application, and can be determined by relevant farming personnel based on historical farming experience and uploaded to the management system. After determining the aquaculture correction characteristics, the characteristic impact value corresponding to each aquaculture correction characteristic can be determined based on the preset aquaculture impact mapping relationship, and then all the characteristic impact values ​​are integrated to obtain the aquaculture impact carbon sink value, wherein the preset aquaculture impact mapping relationship is the correspondence between the aquaculture correction characteristics and the characteristic impact value. The specific content of the preset aquaculture impact mapping relationship is not specifically limited in the embodiment of this application, and can be determined by relevant aquaculture personnel based on historical aquaculture experience and uploaded to the management system. The aquaculture impact carbon sink value is used to reflect the impact of the aquaculture impact factor on the carbon sequestration process of the carbon sequestration analysis object in the divided area.

[0041] In addition to environmental factors and aquaculture factors, other organisms that are ecologically related to the carbon fixation analysis object in the divided area will also affect its carbon fixation capacity. These ecologically related organisms may interact with the carbon fixation analysis object directly or indirectly to affect the carbon fixation capacity of the carbon fixation analysis object. Ecological association influencing factors include symbiotic relationships, competitive relationships, and belonging to the same food chain. For example, the symbiotic relationship can be: mangroves provide habitats and food sources for mangrove fish, and the activities of mangrove fish help maintain the health and function of the mangrove ecosystem. A healthy mangrove ecosystem has a stronger carbon fixation capacity and can fix and store more carbon dioxide. Similarly, not all carbon fixation processes of carbon fixation analysis objects will be interfered with by each ecological association influencing factor. The ecological association correction feature corresponding to the solid analysis object can be determined based on the preset ecological association correction feature mapping relationship, wherein the preset ecological association correction feature mapping relationship contains the ecological association correction features corresponding to various solid analysis objects. The specific content is not specifically limited in the embodiment of this application and can be determined by relevant aquaculture personnel based on historical aquaculture experience and uploaded to the management system. After determining the ecological correlation correction feature, the characteristic impact value corresponding to each ecological correlation correction feature can be determined based on the preset ecological correlation impact mapping relationship and the associated number of associated objects, and then the ecological correlation impact carbon sink value can be obtained by integrating all the characteristic impact values, wherein the preset ecological correlation impact mapping relationship is the correspondence between the ecological correlation correction feature and the associated number and the characteristic impact value. The specific content of the preset ecological correlation impact mapping relationship is not specifically limited in the embodiment of this application, and can be determined by relevant breeding personnel based on historical breeding experience and uploaded to the management system. The ecological correlation impact carbon sink value is used to reflect the impact of the ecological correlation impact factor on the carbon fixation process of the carbon fixation analysis object in the divided area.

[0042] Finally, by integrating the environmental impact carbon sink values, aquaculture impact carbon sink values, and ecological association impact carbon sink values ​​corresponding to each divided area, the corrected carbon sink index corresponding to each divided area can be determined. After correction based on the corrected carbon sink index, the credibility of the final regional carbon sink index of each divided area can be improved.

[0043] Step S150: Integrate the regional carbon sink indicators of all divided areas to obtain the total carbon sink indicator of the fishery aquaculture area to be managed.

[0044] Specifically, after obtaining the regional carbon sink index for each zone, the regional carbon sink indexes for all zones are summed to obtain the total carbon sink index for the managed aquaculture zone. This total carbon sink index may influence the formulation or adjustment of subsequent aquaculture strategies. For example, a high total carbon sink index indicates strong carbon sequestration capacity in the managed aquaculture zone. In this case, aquaculture operators can maintain their current aquaculture strategy or even explore potential improvements, such as increasing the planting area of ​​the target species or optimizing the aquaculture structure. A low total carbon sink index indicates weak carbon sequestration capacity in the managed aquaculture zone. In this case, aquaculture operators may need to adjust their aquaculture strategies to improve carbon sequestration capacity, such as by adjusting stocking density, improving water quality, and protecting symbiotic organisms. Obtaining an accurate total carbon sink index facilitates targeted management of blue carbon in the aquaculture process.

[0045] For the embodiments of the present application, since there are significant differences in the carbon sequestration efficiency corresponding to different biological species, the fishery breeding areas to be managed are divided by biological species, and then the initial carbon index of each divided area is differentially analyzed based on the basic parameters of each divided area, rather than using an overall or fixed analysis method to determine the initial carbon sink index. This facilitates improving the adaptability between the initial carbon sink index and the actual carbon sequestration situation of the corresponding divided area. By analyzing the impact of the influencing factors corresponding to each divided area on the carbon sequestration process, and based on this, the initial carbon sink index is targetedly corrected to avoid over-correction or under-correction. Finally, the total carbon sink index is obtained by integrating the regional carbon sink indicators corresponding to each divided area, which facilitates a more accurate assessment of the carbon sequestration capacity of the fishery breeding areas to be managed, thereby facilitating the provision of more reasonable fishery breeding strategies for relevant breeding personnel.

[0046] Furthermore, in order to improve the standardization and accuracy of the aquaculture strategy optimization process, the method provided in the embodiment of the present application further includes, after obtaining the total carbon sink index of the fishery aquaculture area to be managed: Obtain the carbon sink target demand corresponding to the fishery aquaculture area to be managed, and based on the carbon sink target demand and the total carbon sink index, determine whether the fishery aquaculture area to be managed needs to optimize the aquaculture strategy; if so, determine the optimization guide list corresponding to each divided area based on the environmental impact carbon sink value, aquaculture impact carbon sink value and ecological association impact carbon sink value corresponding to each divided area, and generate aquaculture optimization list based on the regional carbon sink index of each divided area; generate optimization feedback data based on the aquaculture optimization list and the optimization guide list corresponding to each divided area in the aquaculture optimization list.

[0047] Specifically, the carbon sink target demand can be set by relevant breeding personnel according to actual needs. The specific value is not specifically limited in the embodiments of this application. When the carbon sink target demand is not higher than the total carbon sink index of the fishery breeding area to be managed, there is no need to optimize the breeding strategy of the fishery breeding area to be managed; once the carbon sink target demand is higher than the total carbon sink index of the fishery breeding area to be managed, it indicates that the carbon sequestration capacity of the fishery breeding area to be managed is not up to standard, and it is necessary to adjust the breeding strategy of the fishery breeding area to be managed in time to improve the carbon sequestration capacity of the fishery breeding area to be managed.

[0048] When optimizing aquaculture strategies in managed fishery aquaculture areas, we don't blindly optimize. Instead, we analyze the environmental impact carbon sink values, aquaculture impact carbon sink values, and ecological impact carbon sink values ​​for each zone to determine the priority of each influencing factor. Based on this, we determine the order in which optimization should be performed within each zone. For example, if the environmental impact carbon sink value is -10, the aquaculture impact carbon sink value is -2, and the ecological impact carbon sink value is +5, the optimization guideline list might read, "First improve the environment in the managed fishery aquaculture area, then adjust aquaculture methods." Once the optimization guideline list for each zone is determined, an optimized aquaculture list is generated based on each zone's regional carbon sink indicators. In this list, the zones' regional carbon sink indicators are ranked from low to high. Finally, the optimization guidance lists corresponding to each divided area are superimposed on the breeding optimization list to obtain optimization feedback data. By superimposing the optimization guidance lists of each divided area on the breeding optimization list, it is convenient to formulate more refined breeding management strategy optimization opinions based on the actual conditions and needs of different divided areas, which helps to make full use of the resource endowments of each divided area and avoid a "one-size-fits-all" management approach. At the same time, it also facilitates relevant staff to orderly optimize the breeding strategies of multiple divided areas according to the urgency of optimization, thereby improving the standardization and accuracy of the breeding strategy optimization process.

[0049] Furthermore, in order to facilitate the timely detection of abnormal carbon sequestration, the method provided in the embodiment of the present application may further include steps S210 to S230 after determining the regional carbon sequestration index of each divided area. Figure 2 As shown, where: Step S210: obtaining a regional layer corresponding to the fishery breeding area to be managed, and quantifying the regional carbon sink indicator layer of each divided area, and then overlaying the layer quantification result onto the regional layer to obtain a carbon sink overlay layer.

[0050] Specifically, the regional layer corresponding to the fishery breeding area to be managed, that is, the layer containing the fishery breeding area to be managed, can be uploaded to the management system in advance by the relevant management personnel. When the regional carbon sink index of each divided area is quantified by layer, it is necessary to establish an association between the divided area and the regional carbon sink index, and then use the matplotlib library or the preset visual overlay algorithm to overlay the regional carbon sink index value corresponding to each divided area in the form of a layer on each divided area position in the regional layer, and obtain the carbon sink overlay layer corresponding to the fishery breeding area to be managed. In this process, different colors or symbols can be used to represent different regional carbon sink values. The colors or symbols corresponding to different regional carbon sink values ​​can be set in advance by the relevant management personnel according to actual needs. The specific corresponding relationship and the specific preset visual overlay algorithm are not specifically limited in the embodiments of this application.

[0051] Step S220: Obtain the total carbon amount of the fishery breeding area to be managed in a preset time period, and determine the predicted carbon sink movement trajectory layer corresponding to the fishery breeding area to be managed in the preset time period based on the total carbon amount.

[0052] Specifically, the preset time period is a period of time after the current moment. The duration corresponding to the preset time period can be 5 days or 10 days. The specific duration is not specifically limited in the embodiment of this application. The total carbon amount is the carbon sequestration task faced by the fishery breeding area to be managed in the future, which can be predicted based on the historical carbon sequestration task of the fishery breeding area to be managed.

[0053] Since different divided areas have different carbon sequestration capabilities, and different divided areas also have different capabilities to produce carbon dioxide, a carbon sink movement path will be generated in the fishery aquaculture area to be managed in the future, which is used to reflect the distribution and evolution of blue carbon in the fishery aquaculture area to be managed in the future. Furthermore, in order to facilitate intuitive understanding of the corresponding carbon trend in the future while intuitively viewing the carbon sequestration tasks that each divided area needs to deal with, the method provided in the embodiment of the present application, when determining the predicted carbon sink movement trajectory layer corresponding to the fishery aquaculture area to be managed in the preset time period based on the total carbon amount, can specifically include: Obtain the hydrodynamic parameters corresponding to the fishery breeding area to be managed in a preset time period; obtain the integrated carbon sink index data corresponding to the preset integrated time period, determine the carbon sequestration rate corresponding to each divided area based on the integrated carbon sink index data, and determine the carbon cycle parameters corresponding to the fishery breeding area to be managed in the preset time period based on the carbon sequestration rate corresponding to each divided area; determine the predicted carbon sink movement path based on the hydrodynamic parameters and the carbon cycle parameters; determine the divided layer value corresponding to each divided area based on the total carbon amount and the carbon sequestration rate of each divided area; superimpose the divided layer value corresponding to each divided area on the predicted carbon sink movement path to obtain the carbon sink movement trajectory layer.

[0054] Specifically, hydrodynamic parameters include but are not limited to water flow, tides, waves, etc., which will affect the distribution and movement of blue carbon in the fishery breeding area to be managed. Among them, water flow can carry blue carbon particles, such as organic debris and carbon in sediments, and move within the fishery breeding area to be managed. This transportation effect may cause blue carbon to be transferred from the divided area a of the fishery breeding area to be managed to other divided areas; tides and wave effects can cause the resuspension and transportation of sediments, thereby affecting the distribution and stability of blue carbon in the sediments. Therefore, when predicting the movement path of the fishery breeding area to be managed in the future, it is necessary to analyze the hydrodynamic conditions that may be faced in the future. The hydrodynamic parameters can be predicted based on the historical hydrodynamic parameters corresponding to the fishery breeding area to be managed in the historical time period. The historical hydrodynamic parameters can be collected by sensors set in the fishery breeding area to be managed. Parameters such as water depth, flow rate, and flow direction are uploaded to the management system. In addition, parameters such as tides and waves can be collected through preset tide stations. The method of obtaining the hydrodynamic parameters corresponding to the preset time period is not specifically limited in the embodiment of this application.

[0055] The preset integration time period is a period of time before the current moment. The integration duration corresponding to the preset integration time period can be 5 days or 7 days. The specific duration is not specifically limited in the embodiment of this application. The integrated carbon sink index data includes the historical regional carbon sink index corresponding to each divided area in the fishery breeding area to be managed at each integration moment within the preset integration time period. By analyzing the integrated carbon sink index data, the carbon sequestration rate corresponding to each divided area within the preset integration time period can be determined. The method for determining the carbon sequestration rate is not specifically limited in the embodiment of this application. The carbon cycle parameter is the carbon sequestration rate gradient corresponding to the fishery breeding area to be managed. Since the carbon sequestration rate directly affects the accumulation rate of blue carbon, it is necessary to refer to and analyze the carbon cycle parameters when predicting the distribution or movement changes of blue carbon in the future.

[0056] When determining the predicted carbon sink movement path based on hydrodynamic parameters and carbon cycle parameters, a hydrodynamic model can be constructed based on the hydrodynamic parameters first, and then a carbon cycle model can be constructed based on the carbon cycle parameters. Finally, the hydrodynamic model and the carbon cycle model are coupled to obtain a coupled simulation model. The total amount of carbon corresponding to the fishery aquaculture area to be managed in the preset time period is imported into the coupled simulation model, and the predicted carbon sink movement path can be obtained. Among them, a preset numerical model can be used to simulate the hydrodynamic conditions of the fishery aquaculture area to be managed in the future period of time, and then the hydrodynamic parameters corresponding to the fishery aquaculture area to be managed are input, and combined with the basic parameters such as the terrain and wind field of the fishery aquaculture area to be managed, the water body movement in the fishery aquaculture area to be managed is simulated. The preset numerical model can be MIKE3, Delft3D, etc. The specific preset numerical model is not specifically limited in the embodiment of the present application. In combination with the carbon fixation rate gradient, a carbon cycle model can be constructed to simulate the accumulation and movement process of blue carbon in the aquaculture area. When constructing the carbon cycle model, it is necessary to consider the influence of hydrodynamic parameters on the movement of blue carbon, such as the movement of blue carbon particles carried by water flow, and the resuspension and transportation of sediments caused by tides and waves. The method of constructing the hydrodynamic model and the carbon cycle model is not specifically limited in the embodiments of this application. The total carbon amount is divided into each divided area based on the carbon sequestration rate of each divided area, and a connection is established between the divided areas and the predicted carbon sink movement path. That is, the predicted carbon sink movement path is layered to obtain a carbon sink movement trajectory layer, which facilitates an intuitive understanding of the carbon trend of the managed fishery aquaculture area over a period of time in the future.

[0057] Step S230: Based on the predicted carbon sink movement trajectory layer and the carbon sink overlay layer, determine the abnormal layer area, and issue an early warning based on the abnormal layer area.

[0058] Specifically, since the predicted carbon sink movement trajectory layer contains the carbon sequestration tasks that each divided area will face in the future, by superimposing the predicted carbon sink movement trajectory layer with the carbon sink overlay layer corresponding to the current moment, it is convenient to evaluate whether each divided area is capable of coping with the corresponding carbon sequestration tasks in the future. Once it is found that an area with insufficient carbon sequestration capacity may appear in the future, early warning will facilitate relevant staff to take countermeasures in advance to reduce losses caused by insufficient carbon sequestration capacity. The abnormal layer area is a divided area where the overlay layer value is lower than the preset layer threshold. The overlay layer value can be determined by the divided layer value and the regional carbon sink index. The specific preset layer threshold is not specifically limited in the embodiment of this application and can be determined by relevant staff based on historical experimental data and uploaded to the management system.

[0059] Furthermore, in order to improve the accuracy of determining the abnormal layer area, the method provided in the embodiment of the present application may specifically include the following steps when determining the abnormal layer area based on the predicted carbon sink movement trajectory layer and the carbon sink overlay layer: Based on the predicted carbon sink movement trajectory layer, the predicted passing layer area and the predicted carbon sink change value corresponding to the predicted passing layer area are determined; the carbon sink overlay layer is updated according to the predicted carbon sink change value corresponding to each predicted passing layer area to obtain an updated overlay layer; the safety layer is determined based on the predicted carbon sink movement trajectory, and the abnormal layer area is determined from the updated overlay layer based on the safety layer. The abnormal layer area is the layer area in the updated overlay layer that is located outside the safety layer.

[0060] Specifically, when determining the predicted pathway layer area based on the predicted carbon sink movement trajectory layer, the degree of regional coverage between the predicted carbon sink movement trajectory layer and each divided area can be compared, and the divided area corresponding to the divided area with a regional coverage higher than the preset coverage threshold is determined as the predicted pathway layer area. The predicted carbon sink change value of the predicted pathway layer area is used to reflect the amount of carbon sequestration tasks faced by the corresponding divided area in the future, that is, the expected increase or decrease in carbon sequestration reserves faced by the corresponding divided area. The carbon sink overlay layer is updated according to the predicted carbon sink change value corresponding to each predicted pathway layer area to reflect the carbon sink changes in the fishery farming areas to be managed in the future. The updated carbon sink overlay layer can be visualized using GIS software or preset visualization tools, and the carbon sink changes in each divided area can be intuitively displayed through color mapping, legend descriptions, etc.

[0061] Different predicted carbon sink movement trajectories correspond to different safety layers. Based on the predicted carbon sink movement trajectory and management needs, a safety layer can be set. This safety layer can be regarded as a buffer zone, used to identify the safe area during the carbon sink movement process. The spatial comparison function of GIS software can be used to overlay the update overlay layer with the safety layer for analysis. The layer areas in the update overlay layer that are outside the safety layer are identified as abnormal layer areas. Abnormal layer areas indicate that carbon sink changes may exceed the safe range in the future and require special attention and management.

[0062] For the embodiment of the present application, by refining the predicted carbon sink movement trajectory layer into multiple predicted pathway layer areas, it is convenient to improve the spatial resolution, and the carbon sink overlay layer is accurately updated based on the respective predicted pathway layer areas obtained after refinement, so as to reduce averaging in the updating process, thereby facilitating the improvement of the accuracy when updating the carbon sink overlay layer. By analyzing the predicted carbon sink movement trajectory layer, the corresponding risk boundary is determined, and the layer area beyond the boundary is determined as an abnormal area, rather than using a fixed risk value for anomaly identification, so as to improve the accuracy when determining the abnormal layer area.

[0063] The present application provides a management system, such as Figure 3 As shown, Figure 3The management system 300 shown includes a processor 301 and a memory 303. The processor 301 and the memory 303 are connected, for example, via a bus 302. Optionally, the management system 300 may also include a transceiver 304. It should be noted that in actual applications, the number of transceivers 304 is not limited to one, and the structure of the management system 300 does not constitute a limitation on the embodiments of the present application.

[0064] Processor 301 can be a CPU (Central Processing Unit), a general-purpose processor, a DSP (Digital Signal Processor), an ASIC (Application Specific Integrated Circuit), an FPGA (Field Programmable Gate Array), or other programmable logic device, transistor logic device, hardware component, or any combination thereof. It can implement or execute the various exemplary logic blocks, modules, and circuits described in conjunction with the disclosure of this application. Processor 301 can also be a combination that implements computing functions, such as a combination of one or more microprocessors, a combination of a DSP and a microprocessor, etc.

[0065] Bus 302 may include a path for transmitting information between the above components. Bus 302 may be a PCI (Peripheral Component Interconnect) bus or an EISA (Extended Industry Standard Architecture) bus. Bus 302 may be divided into an address bus, a data bus, a control bus, etc. For ease of illustration, Figure 3 The fact that only one line is used does not mean that there is only one bus or one type of bus.

[0066] The memory 303 may be a ROM (Read Only Memory) or other type of static storage device that can store static information and instructions, a RAM (Random Access Memory) or other type of dynamic storage device that can store information and instructions, or an EEPROM (Electrically Erasable Programmable Read Only Memory), a CD-ROM (Compact Disc Read Only Memory) or other optical disk storage, optical disk storage (including compact discs, laser discs, optical discs, digital versatile discs, Blu-ray discs, etc.), a magnetic disk storage medium or other magnetic storage device, or any other medium that can be used to carry or store desired program code in the form of instructions or data structures and can be accessed by a computer, but is not limited thereto.

[0067] The memory 303 is used to store application code for executing the solution of the present application, and the execution is controlled by the processor 301. The processor 301 is used to execute the application code stored in the memory 303 to implement the content shown in the above method embodiment.

[0068] The management system includes, but is not limited to, mobile terminals such as mobile phones, laptop computers, digital broadcast receivers, PDAs (personal digital assistants), PADs (tablet computers), PMPs (portable multimedia players), and in-vehicle terminals (e.g., in-vehicle navigation terminals), as well as fixed terminals such as digital TVs and desktop computers. Servers are also possible. Figure 3 The management system shown is merely an example and should not limit the functions and scope of use of the embodiments of the present application.

[0069] An embodiment of the present application provides a computer-readable storage medium having a computer program stored thereon. When the computer-readable storage medium is run on a computer, the computer can execute the corresponding contents of the aforementioned method embodiment.

[0070] An embodiment of the present application provides a computer program product, which includes a computer program. When the computer program is executed by a processor, the method in any of the above embodiments is implemented.

[0071] It should be understood that although the steps in the flowcharts of the accompanying drawings are shown in sequence as indicated by the arrows, these steps are not necessarily executed in the order indicated by the arrows. Unless otherwise specified herein, there is no strict order restriction on the execution of these steps, and they can be executed in other orders. Moreover, at least some of the steps in the flowcharts of the accompanying drawings may include multiple sub-steps or multiple stages, and these sub-steps or stages are not necessarily executed at the same time, but can be executed at different times, and their execution order is not necessarily sequential, but can be executed in turn or alternately with other steps or at least a portion of the sub-steps or stages of other steps.

[0072] The above description is only part of the implementation methods of the present application. It should be pointed out that for ordinary technicians in this technical field, several improvements and modifications can be made without departing from the principles of the present application. These improvements and modifications should also be regarded as the scope of protection of the present application.

Claims

1. A method for integrated blue carbon management in fish farming, characterized in that: include: The fishery aquaculture area to be managed is divided according to the species of organisms to obtain multiple divided areas; Identify the basic parameters corresponding to each divided area, and determine the initial carbon sink indicators corresponding to each divided area based on the basic parameters of each divided area; Obtaining the impact factor of each divided area, and determining the corrected carbon sink index corresponding to each divided area based on the impact factor of each divided area; Determine the regional carbon sink index of each divided area based on the initial carbon sink index and the revised carbon sink index of each divided area; The regional carbon sink indicators of all divided areas are integrated to obtain the total carbon sink indicator of the fishery aquaculture area to be managed.

2. A method for integrated blue carbon management in fish farming according to claim 1, characterized in that: When the influencing factors include environmental influencing factors, aquaculture influencing factors, and ecological correlation influencing factors, the determination of the modified carbon sink index corresponding to the divided area based on the influencing factors of the divided area includes: Identifying carbon sequestration analysis objects corresponding to the divided areas; Identifying an environmental correction feature from the environmental impact factors corresponding to the divided areas based on the carbon sequestration analysis object, and determining an environmental impact carbon sink value based on the environmental correction index; Identifying aquaculture correction features from aquaculture impact factors corresponding to the divided areas based on the carbon sequestration analysis object, and determining aquaculture impact carbon sink values ​​based on the aquaculture correction indicators; Identifying an ecological correlation correction feature from the ecological correlation impact factors corresponding to the divided areas based on the carbon sequestration analysis object, and determining an ecological correlation impact carbon sink value based on the ecological correlation correction index; The modified carbon sink index corresponding to the divided area is determined according to the environmental impact carbon sink value, the aquaculture impact carbon sink value and the ecological association impact carbon sink value.

3. A method for integrated blue carbon management in fish farming according to claim 2, characterized in that: After obtaining the total carbon sink index of the fishery aquaculture area to be managed, the method further includes: Obtaining a carbon sequestration target demand corresponding to the fishery aquaculture area to be managed, and determining whether aquaculture strategy optimization is required for the fishery aquaculture area to be managed based on the carbon sequestration target demand and the total carbon sequestration index; If so, determine the optimization guide list corresponding to each divided area based on the environmental impact carbon sink value, aquaculture impact carbon sink value, and ecological association impact carbon sink value corresponding to each divided area, and generate an aquaculture optimization list based on the regional carbon sink index of each divided area; Optimization feedback data is generated based on the breeding optimization list and the optimization guidance list corresponding to each divided area in the breeding optimization list.

4. The method for integrated blue carbon management in fish farming according to claim 1, wherein: After determining the regional carbon sequestration indicators for each divided area, the following steps are also included: Obtaining a regional layer corresponding to the fishery aquaculture area to be managed, and after quantifying the regional carbon sink indicator layer of each divided area, superimposing the layer quantification result onto the regional layer to obtain a carbon sink superimposed layer; Obtaining the total carbon amount of the fishery aquaculture area to be managed in a preset time period, and determining a predicted carbon sink movement trajectory layer corresponding to the fishery aquaculture area to be managed in the preset time period based on the total carbon amount; Based on the predicted carbon sink movement trajectory layer and the carbon sink overlay layer, an abnormal layer area is determined, and an early warning is issued based on the abnormal layer area.

5. A method for integrated blue carbon management in fish farming according to claim 4, characterized in that: The step of determining the predicted carbon sink movement trajectory layer corresponding to the fishery aquaculture area to be managed during the preset time period based on the total carbon amount includes: Obtaining the hydrodynamic parameters of the fishery breeding area to be managed corresponding to the preset time period; Obtaining integrated carbon sink index data corresponding to a preset integrated time period, determining a carbon sequestration rate corresponding to each divided area based on the integrated carbon sink index data, and determining a carbon cycle parameter corresponding to the fishery aquaculture area to be managed in the preset time period based on the carbon sequestration rate corresponding to each divided area; Determining a predicted carbon sink migration path based on the hydrodynamic parameters and the carbon cycle parameters; Determine a partition layer value corresponding to each partition area based on the total carbon amount and the carbon sequestration rate of each partition area; The division layer value corresponding to each division area is superimposed on the predicted carbon sink movement path to obtain the carbon sink movement trajectory layer.

6. The method for integrated blue carbon management in fish farming according to claim 4, wherein: The determining of an abnormal layer area based on the predicted carbon sink movement trajectory layer and the carbon sink overlay layer includes: Determine the predicted path layer area and the predicted carbon sink change value corresponding to the predicted path layer area based on the predicted carbon sink movement trajectory layer; Update the carbon sink overlay layer according to the predicted carbon sink change value corresponding to each predicted path layer area to obtain an updated overlay layer; A safety layer is determined based on the predicted carbon sink movement trajectory, and an abnormal layer area is determined from the updated overlay layer based on the safety layer. The abnormal layer area is a layer area in the updated overlay layer that is located outside the safety layer.

7. A management system, characterized in that: The management system includes: at least one processor; Memory; At least one application, wherein the at least one application is stored in a memory and configured to be executed by at least one processor, and the at least one application is configured to: execute a blue carbon integrated management method for fishery aquaculture according to any one of claims 1 to 6.

8. A computer-readable storage medium, characterized in that include: A computer program is stored which can be loaded by a processor and executed according to any one of claims 1 to 6, comprising a method for integrated blue carbon management in fishery aquaculture.

9. A computer program product, characterized in that The invention comprises a computer program which, when executed by a processor, implements the steps of a method for integrated blue carbon management of fishery aquaculture according to any one of claims 1 to 6.

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