82 results about "Biocoenosis" patented technology

The invention discloses a dynamic supervision method and system for a marine ranch, and relates to the technical field of marine ranches, and the method comprises the following steps: determining the target, range and index of the dynamic supervision of the marine ranch, collecting the ecological environment data of the marine ranch, and transmitting the ecological environment data to a data management center; wherein the ecological environment data comprises historical data and real-time data, the collected ecological environment data is preprocessed, the preprocessed data is analyzed, environment influence factors are extracted, the environment influence factors comprise a water quality influence factor, a substrate influence factor and a biocenosis influence factor, and the water quality influence factor, the substrate influence factor and the biocenosis influence factor are analyzed; and analyzing the correlation among the water quality influence factor, the substrate influence factor and the biocenosis influence factor. According to the method, the water quality, the substrate and the biocenosis state of the marine ranch are monitored in real time, the ecological environment early warning evaluation coefficient is combined, and the potential ecological risk is quickly identified, so that prevention measures are taken in the first time, and the ecological environment is prevented from deteriorating to an irreversible degree.

The invention discloses a soil health and microbiological analysis intelligent environment monitoring device, and relates to the technical field of soil monitoring, the device comprises the following components: an outer shell, a sensor assembly, a microflora interaction monitoring sensor group, a data acquisition and transmission module, a power supply module, a microprocessor, a control unit and a data analysis module; signal molecule concentration change data and predatory relationship visual data are combined through the data analysis module, deep analysis is carried out by using bioinformatics and mathematical modeling means, and a multi-dimensional regulation network hidden in a microbial community can be comprehensively revealed; according to the soil health assessment device, the interaction relationship between the soil ecological system and the soil ecological system is analyzed accurately, the influence of the interaction relationship on key ecological functions such as material circulation and energy flow in the soil ecological system is analyzed accurately, the device can generate a detailed soil health assessment report based on the analysis results, agricultural scientific researchers, planting farmers and environmental protection monitoring departments can assess the soil health condition accurately, and the soil health assessment efficiency is improved. And targeted soil management measures are taken.

The invention relates to a method and system for regulating and controlling microbial communities in a circulating water body, and the method comprises the steps: deploying a network composed of a plurality of water quality sensors which can collect various key parameters of the water body in real time and upload the key parameters to a cloud server; processing the collected data by using a big data analysis platform, identifying main factors influencing the development of the microbial community, training a predictive ecological model by using a machine learning algorithm, simulating the change trend of the microbial community in different scenes, evaluating the influence of the change trend on the water quality, and the like. A self-adaptive control theory is introduced, a closed-loop feedback system is constructed to optimize a microbial community structure and functional performance thereof, a small ecological environment most beneficial to survival and reproduction of target microorganisms is created, a targeted inhibition control strategy is implemented in the face of emergencies, the stability and safety of a water body ecological system are guaranteed, and the water body ecological system is protected. According to the method, the capability of dealing with emergency situations is improved, and the risk of environmental pollution is reduced.

The invention discloses a water conservancy and hydropower project ecological scheduling optimization method, and relates to the technical field of water conservancy and hydropower ecological scheduling, and the method comprises the steps: carrying out the fine ecological region division of a river channel, and dividing the river channel into a plurality of regions with definite ecological functions through combining a plurality of factors. By monitoring the ecological water demand of different ecological regions in the river channel in real time, the actual demand condition of each ecological region is accurately mastered, so that the ecological scheduling scheme is individually formulated according to the characteristics of different ecological regions, the scheduling accuracy is improved, the ecological model comprehensively considers multiple factors such as hydrology, water quality, ecology and meteorology, and the ecological scheduling efficiency is improved. According to the method, the change trend of the ecological water demand of different ecological areas can be predicted, a suitable living environment is provided for various aquatic organisms by accurately meeting the ecological water demand of different ecological areas, protection of rare and endangered species is facilitated, stable development of biocenosis is promoted, and the biodiversity level of a whole river ecosystem is improved.

The invention discloses a method for detecting the biological enrichment microplastic degree of bivalve mollusks in a deep sea extreme environment. According to the method, biocenosis is sampled to acquire a community structure representing a biological bed layer, then morphological characterization statistics is carried out to classify age stage data of shellfish individuals, a multivariate factor analysis method is used to obtain the shellfish individuals with the largest contribution degree in each classification age stage, then tissue-divided micro-plastic extraction is carried out, and the classification age stage data of the shellfish individuals with the largest contribution degree is obtained. The method comprises the following steps: reducing the form of seabed micro-plastics, carrying out process identification on full-size micro-plastics, tracing the duration of adsorbing the micro-plastics by each shellfish monomer by virtue of a carbon-14 dating method, and constructing a seabed shellfish dynamic enrichment curve by splicing the life of each shellfish; and finally amplifying to the whole shellfish bed layer to deduce the microplastic enrichment rate and historical accumulation amount of the whole extreme ecosystem. The method provides a scientific basis and a technical support for formulating an effective marine environment protection strategy and clarifying a marine micro-plastic source-sink relationship.

The invention discloses a rice-fish symbiosis multifunctional water quality monitoring and analyzing device and a use method. The device comprises the following core modules: a data acquisition module, which is responsible for acquiring water quality data from front-end monitoring equipment in real time; the data processing module is used for deeply processing the collected water quality data and image information; the data analysis module is used for introducing a prediction model based on machine learning and accurately predicting a future water quality change trend in combination with historical water quality data and real-time monitoring data; the intelligent decision support module is responsible for automatically identifying potential risks in water quality and generating targeted intelligent decision suggestions according to the potential risks; according to the method, image recognition and spectral analysis technologies are introduced, a high-definition camera, a precise underwater spectrometer and other equipment are utilized, and a deep learning algorithm and a spectral database are combined, so that precise recognition and classification of suspended solids, algae and other biocenosis in water are realized, and more comprehensive and multi-dimensional information is provided for water quality evaluation.

The invention discloses a river ecological health assessment method based on omnibearing indexes, and the key points of the technical scheme are as follows: through constructing a multi-dimensional assessment matrix containing a plurality of key indexes, the scheme can comprehensively cover a plurality of aspects of a river ecological system, such as water quality conditions, biocenosis structures, species diversity and the like, so that the comprehensiveness of assessment is ensured; the weight of each dimension is dynamically calculated and adjusted by using the grid search optimization and gradient descent algorithm, the subjectivity and one-sidedness of a traditional method are avoided, the scientificity of evaluation is improved, the accuracy and reliability of an evaluation result are ensured through verification of an independent data set, a powerful scientific support is provided for river ecological protection and sustainable development, and the method has a wide application prospect. According to the method, various data of the river ecosystem can be comprehensively and systematically collected and analyzed by constructing the matrix containing a plurality of key indexes, a solid data basis is provided for subsequent evaluation, and the accuracy of data used in the evaluation process is ensured through the data preprocessing step.

A method for calculating carbon storage in a mixed forest ecosystem is provided. The method includes: acquiring basic geographic data, meteorological data, eco-physiological parameter, thinning management history data, and validation data; proposing an improved biome-biogeochemical cycles (Biome-BGC) model suitable for simulating carbon storage of a mixed forest ecosystem under management by improving a phenology module, adding a thinning operation management module, and optimizing the eco-physiological parameter, based on an existing Biome-BGC model; simulating, by taking a pine-oak mixed forest as a research object, the carbon storage based on the improved Biome-BGC model; validating the improved model; analyzing sensitivity of the eco-physiological parameter by an extended Fourier amplitude sensitivity test (EFAST) method; and selecting a highly sensitive parameter, and analyzing an effect of the highly sensitive parameter on the carbon storage by a path analysis method. The improved model exhibits good performance in calculating the carbon storage of the mixed forest.

The invention provides a method for detecting influence of microplastics and antibiotics on a sediment microbial community structure and an ecological function. The method comprises the following steps: acquiring a sediment sample at a sampling point; adding the micro-plastic particles and the antibiotic solution into the sediment sample, and incubating; dNA of the microorganisms is extracted, and 16S rRNA sequencing is carried out; and on the basis of a sequencing result, microbial community diversity and characteristic bacterial class group identification and ecological function evaluation are carried out. According to the invention, the comprehensive effect of micro-plastic and antibiotic combined pollution on the structure and ecological function of the microbial community in the sediment is comprehensively analyzed for the first time, and the detection speed and accuracy of the microbial community in the sediment are improved by applying a 16S rRNA detection technology; and a solid support is provided for formulating an environment protection strategy, optimizing pollution control and implementing an ecological restoration project.

The invention discloses a hydrological and biological communication-based degraded marsh rapid recovery method, which aims at the problems of water resource shortage and biological isolation in a degraded marsh area, and comprises the following steps of: constructing a controllable hydrological communication channel between the degraded marsh area and an adjacent natural river, accurately opening the controllable hydrological communication channel in a natural river flooding season, and utilizing flood power to realize rapid recovery of the degraded marsh area. And the natural and efficient supply of water resources to the recovered degraded marsh area and the direct input of various aquatic organisms in the natural river are synchronously realized. And according to the life cycle key stage of the target aquatic organism, the opening time, frequency and period of the controllable hydrological communication channel are regulated and controlled, and the biological input effect is maximized. After the controllable hydrological communication channel is closed, the degenerated marsh area is kept stable in the non-flood period, and habitat building and monitoring are assisted. The method is low in cost, high in efficiency and small in ecological risk, can quickly reconstruct aquatic organism communities and ecological network functions, and is particularly suitable for restoration engineering of large-scale returning to wetness and degraded marsh.

The invention relates to an intelligent fish community stability evaluation method and system based on a network model, and the method comprises the steps: optimizing species distribution data based on the influence of a single species on community biodiversity and the influence of interspecific interaction on a community structure, obtaining species distribution optimization data, and constructing a community association network model; quantifying the functional diversity overlapping degree of the species by adopting a PCoA method and constructing a functional ecological niche network model; constructing a comprehensive network model according to the community association network model and the functional ecological niche network model; and constructing a radar map according to the community association network model, the functional ecological niche network model and the comprehensive network model, and evaluating the network stability based on a radar map area method. According to the method, the deficiency of the interaction relationship between the species caused by incomplete sampling can be better reflected, the network structure is more complex and closer to the real situation, the interaction relationship between the species can be deeply mined, and the accuracy of the evaluation result and the comparability between different biocenosis networks are improved.

The invention discloses an ecological restoration system for mangrove forest wetlands, and relates to the technical field of ecological restoration of coastal wetlands, and the technical key points are as follows: the ecological restoration system comprises an algae-cleaning biocenosis: the number of algae is reduced through salt-tolerant algae-cleaning organisms, and the transparency of a water body is improved; the sea grass plant community comprises Sichuan fructus viticis and halophila acuminata, absorbs eutrophic substances in water through photosynthesis, and further purifies the water quality; aquatic animals comprise fishes, benthonic animals, shrimps and filter-feeding zooplanktons; the mangrove plant community is used for planting bruguiera gymnorrhiza, kandelia candel and aegiceras corniculatum in a layered manner according to tide and water depth so as to realize the functions of purifying water quality of an ecological system and providing a habitat; and the environment monitoring module is provided with tide monitoring equipment, observes tide water level change and salinity and alkalinity, and implements early warning and emergency measures under extreme climate conditions. According to the method, a multi-layer producer community system can be coupled and repaired, the eutrophication problem can be effectively solved by multi-dimensionally improving the biodiversity, and a new method is provided for coastal wetland repair.

The invention relates to the field of water ecological protection, in particular to a method for evaluating the water ecological condition and carrying out protection priority grading on a water body. The method comprises the following steps: acquiring water area characteristic data and water body soil data by using a sensor; performing image acquisition on the target water area through an ecological remote sensing technology to obtain a target water area environment image; performing water quality characteristic analysis on the water area characteristic data according to the water body soil data to generate water area water quality characteristic data; performing water ecosystem analysis on the target water area environment image according to the water area water quality characteristic data to generate water ecosystem data; carrying out biocenosis structure analysis on the water ecosystem data, and constructing a community structure relation network; and performing water body information flow quantitative analysis on the water area water quality characteristic data through the community structure relation network to generate a biological community health index. According to the invention, efficient and accurate water body protection priority grading is realized.

The invention relates to the technical field of biological environment. The invention provides a detection method for determining a temperature threshold value for maintaining denitrification activity of wetland rhizosphere microorganisms under a low-temperature condition. The detection method comprises the following steps: (1) planting wetland plants in a test area; (2) gradually reducing the environment temperature of the test area; (3) collecting rhizosphere soil samples and water body samples under different temperature gradient conditions; (4) detecting the denitrification activity of the rhizosphere soil sample, the composition and diversity change of functional microbial communities, the physicochemical properties of soil and the nitrogen concentration change of a water body; and (5) calculating the temperature threshold for maintaining the activity of the functional microorganisms. The method provided by the invention can provide technical support for improving the denitrification effect of the wetland in the low-temperature environment, so that the wetland can play a good role in winter or cold regions, the selection of plant species and the regulation and control of growth conditions in wetland restoration engineering can be guided, and the denitrification capability of the wetland is improved.

The invention discloses a method, device and equipment for identifying and tracking aquatic biocenosis by using bionic mechanical fish and a storage medium, and belongs to the technical field of bionic technology coupling target identification and tracking. The device comprises a bionic fugu-fish mechanical structure and overall equipment carried by the bionic fugu-fish mechanical structure. The identification and tracking method of the bionic mechanical fish is realized by means of a processor carrying an AN-S algorithm and PID (Proportion Integration Differentiation) control. The method comprises the following steps: shooting aquatic organism communities by adopting a camera located at a fish head position; the controller is used for receiving an instruction of the processor and enabling the fish body to move towards a set direction; the processor and the controller are arranged in the fish body; the side fins, the tail fin and the envelope are located on the side faces, the tail and the fins of the fish body, and motion instructions sent by the processor are achieved. The AN-S algorithm comprises an AttentionNet algorithm for target recognition, target fish in the image is detected and recognized, and recording and storage are started only when a target is detected; the AN-S algorithm comprises a Sort method for continuously tracking a moving target in a recognition sequence and outputting a movement track.

The invention discloses a year-round production management method of a rice, loach and shrimp ecological planting and breeding system, and belongs to the technical field of intelligent agriculture. The method comprises the following steps: acquiring multi-dimensional data through a sensing network to obtain a comprehensive state vector; based on the vector and a target induction knowledge base, judging the physiological state of the organism and calculating a coupling matching degree; when the coupling matching degree is lower than a preset threshold value, active induction regulation and dynamic priority arbitration are conducted, an optimal regulation instruction is generated, and the arbitration process combines a long-term production target and ecological conflict punishment, comprises a closed-loop self-adaptive learning mechanism and is used for correcting model parameters and a knowledge base on line; and finally, the instruction is executed by the environment and biocenosis regulation and control execution system. According to the method, the conversion from passive stress regulation to active predictive optimization can be realized, decision conflicts in a multi-species symbiotic system are effectively processed, the method has adaptive learning ability, and the globality, the stability and the intelligent level of system management are improved.

A method for detecting the extent of microplastic accumulation in bivalve organisms in extreme deep-sea environments is provided. This method is performed through sampling of biological communities to represent the community structure of that biological bed layer, then morphological characterization statistics are conducted to classify the age stage data of individual bivalves, multivariate factor analysis is used to obtain the individual bivalves with the greatest degree of contribution in each classified age stage, subsequently tissue-specific microplastic extraction is performed, the morphology of seafloor microplastics is restored and streamlined identification of full-size microplastics is considered, carbon-14 dating is used to trace the duration of microplastic adsorption by each individual bivalve, dynamic accumulation curves for seafloor bivalves are constructed by connecting each bivalve's survival duration, and finally this is scaled up to the entire bivalve bed to derive the microplastic accumulation rate and historical accumulation of the entire extreme ecosystem.

The invention provides a method and a device for identifying multi-trophic-level aquatic biocenosis stability influence factors, and relates to the technical field of aquatic ecosystem analysis. The method comprises the following steps: acquiring a water body physicochemical parameter data set and a multi-trophic-level aquatic biocenosis data set of a plurality of sampling points of a target water area; constructing a species association network system for stability calculation based on the multi-trophic-level aquatic organism community data set; calculating a stability index representing the overall stability of the community based on the network system; and finally, analyzing the contribution degree of the water physical and chemical parameter data set to the stability index by utilizing a machine learning model, and identifying the key influence factor according to the contribution degree. According to the method, the key physical and chemical factors influencing the stability of the ecological system can be systematically and accurately identified by integrating the multi-nutrition-level community structure and machine learning, and the targeting and management efficiency of the restoration of the water ecological system are improved.

The invention relates to the technical field of water ecosystem evaluation, in particular to a method for evaluating the stability of a water ecosystem of an urban water supply reservoir. The method comprises the following steps: acquiring biocenosis structure data of the urban water supply reservoir; dividing different functional groups of the water ecological system according to the biocenosis structure data, constructing a multi-level water ecological network model, and representing the interaction between each pair of functional groups as positive and negative bidirectional effect values to form an asymmetric nutritional effect matrix; performing bidirectional influence analysis on the asymmetric nutrition effect matrix, extracting active influence and passive response dimension features of each function group, and obtaining quantitative distinguishing data of ecological roles of the function groups; and dividing the function group into four types of ecological roles according to the quantitative distinguishing data, and evaluating the buffer capability of the water ecosystem on disturbance to obtain a system sensitivity index. The ecological system structure and function status of the urban water supply reservoir are objectively and accurately evaluated from the water ecological system level.

The invention belongs to the technical field of ecological environment protection, and particularly relates to a quantitative reconstruction method for inter-species relationship of biocenosis, which comprises the following steps: S1, organizing a lake organism-environment database; collecting and sorting a regional lake organism-environment database, establishing a regional organism database for all specific organism groups appearing in lake surface samples, summarizing water environment physicochemical index data corresponding to each lake, and standardizing the summarized data to form a regional environment database; s2, collecting drilling data of the lake; a Kajak gravity sampler is used for extracting deposition drill holes in the center position of a lake and separating samples, and the samples are placed in a self-sealing bag, refrigerated and transported and stored indoors at the temperature of-20 DEG C for physicochemical index analysis and biological species identification. By calculating the ecological niche width and the overlapping degree of the species in the biocenosis, the coexistence relationship between the species in the lake is quantified, and a dynamic evaluation tool for the relationship between the species is provided.

This invention provides a method and system for assessing the impact of construction disturbance on biodiversity in nature reserves, relating to the field of computer technology. The method includes: acquiring species distribution data, construction disturbance data, and environmental data within the nature reserve; constructing an ecological association network based on the species distribution data to obtain a species interaction network; extracting network structure features from the species interaction network to obtain a set of key species; modeling the disturbance propagation dynamics based on the set of key species and the construction disturbance data to obtain an impact propagation path map; predicting biodiversity responses based on the impact propagation path map and environmental data to obtain trends in changes in biological community composition; and conducting a comprehensive impact assessment based on these trends, outputting an impact level index by comparing the degree of deviation from historical baseline states. This invention effectively improves the overall accuracy and predictive precision of the assessment of the impact of construction disturbance on biodiversity in nature reserves.

The invention provides a microflora abundance trajectory prediction method, device and equipment and a medium, and relates to the technical field of biological information, and the method comprises the steps: obtaining at least one target abundance time sequence corresponding to a plurality of fermentation bodies of a first production team; the target abundance time sequence comprises abundance data of the target microorganism class group in the complete fermentation stage according to fermentation time sorting; dividing each target abundance time sequence to obtain a corresponding first abundance time sequence and a corresponding second abundance time sequence; the first abundance time sequence corresponds to a first fermentation stage, and the second abundance time sequence corresponds to a second fermentation stage after the first fermentation stage; and training the first time sequence prediction model by taking each first abundance time sequence as an input and taking the corresponding second abundance time sequence as a training label to obtain a second time sequence prediction model. The method can accurately predict the abundance change track of the target microorganism class group based on the second time sequence prediction model.

The present invention discloses a system and method for removing nano-microplastics by using benthic animals to enhance artificial wetlands. The system includes an artificial wetland, and the matrix filler of the artificial wetland includes a river sand layer doped with benthic animals. The particles of the river sand layer intercept nano-microplastics in the water. The benthic animals ingest and degrade the nano-microplastics, and cooperate with microorganisms and plants in the artificial wetland to remove the nano-microplastics in the water. The present invention uses common benthic animals in nature as matrix fillers for artificial wetlands, utilizes the pollution resistance of benthic animals, and changes the microbial community structure of the water ecosystem through the benthic animals' own activities and the parasitic and predatory relationships with microorganisms. The interaction between the benthic animals and various environmental factors of the ecosystem achieves pollutant removal and environmental optimization, thereby changing pollutant conversion, realizing biological circulation, and improving the ability to remove nano-microplastics.

The invention provides a biological bait culture method for pond culture water. The biological bait culture method comprises the following steps: S1, building a three-dimensional culture system; s2, preparing an ecological base and a biocenosis; according to the method, by building a three-dimensional cultivation system of the bottom layer modular net cage, the water surface floating type three-dimensional cultivation frame and the intelligent regulation and control system and combining scientific configuration of ecological bases and biocenosis, the problem that bait supply is unstable in traditional cultivation is effectively solved; the light organism cultivation unit, the plant planting unit and the biological membrane carrier unit of the water surface floating type three-dimensional cultivation frame work in a layered mode, bait organisms such as chlorella, copepods and rotifers in different water layers are cultivated in a directional mode, a complete closed-loop food chain is constructed in addition to food filtering and nutrition supplementing of snails and freshwater mussels, and the bait yield per unit water body is greatly increased.

The invention discloses a multi-class-group ecological safety operation space determination method and system for a large estuary delta and a storage medium. Relates to the technical field of ecological environment protection and wetland resource management. The method comprises the following steps: acquiring multi-source spatio-temporal data of a target estuary delta, preprocessing, constructing a multi-period inning boundary database, analyzing a distance effect, calculating an inning strength index, determining an optimal hysteresis period through hysteresis analysis, constructing three types of accumulation indexes, fitting a response relation curve of the three types of accumulation indexes and biodiversity, and determining the biodiversity of the target estuary delta. Identifying non-linear inflection points on the curve to determine a threshold position; and constructing a biodiversity response surface according to the analysis result, and further identifying the ecological operation space. According to the method, data of multi-stage remote sensing, multi-class biodiversity monitoring and the like and a multi-model joint calculation framework are combined, the lag response, the cumulative effect and the threshold features of the multi-class biocenosis are quantitatively recognized, an ecological safety operation space recognition system is formed, and support can be provided for ecological planning, management and decision making.

Micron scale biogeography is a major driver of physiology and ecology of complex microbial biofilm communities, which remains elusive largely due to the lack of tools for spatially resolved phylogenetic mapping. This disclosure provides methods, computer-readable storage devices and kits that allow highly multiplexed and spatially resolved imaging of microbial community spatial organization. The disclosure provides a highly-multiplexed approach to resolve the spatial structure of complex microbial community at high taxonomic resolution.

The invention discloses a method and a system for evaluating a hysteretic effect of an influence factor in a species growth-suitable area, and the method comprises the steps: obtaining the distribution data of a to-be-researched species, and simulating the habitat condition of the to-be-researched species according to the distribution data, thereby obtaining a habitat distribution diagram; acquiring environmental factor data influencing the growth of the species to be studied, projecting environmental factors into the habitat distribution map, and processing to obtain environmental factor data of the suitable growth area; calculating the explanatory force of the environment factor data of the growth-suitable area to the spatial differentiation of the growth-suitable area of the species to be researched, and screening out key factors according to the explanatory force; and performing causal relationship analysis on each key factor by adopting a dynamic causal inference method GCCM to obtain a causal relationship and strength, and evaluating the hysteresis effect of the key factors according to the causal relationship and strength. According to the method, the problem that the time delay effect of an ecological system on environment change is difficult to depict in the prior art can be solved, and the influence of global climate change and human activities on biocenosis can be evaluated more accurately.

The invention discloses a natural absorption layer for underwater component laser peening and application of the natural absorption layer, and belongs to the technical field of material surface life prolonging. According to the method, a biological membrane with gradient optical characteristics is formed through in-situ induction of marine microbial communities to serve as a natural absorption layer, dynamic adaptation of laser peening parameters and the state of the biological membrane is achieved in combination with a multi-physical field coupling regulation and control technology, surface strengthening and corrosion synergistic inhibition are synchronously completed, and finally eco-friendly underwater life prolonging treatment is achieved.

The invention discloses a method and a system for identifying key biological class groups influencing a lake ecosystem based on a sectional structure equation model, relates to the technical field of environmental ecology, and comprehensively investigates the biocenosis diversity and ecological function characteristics of a lake. A nutrition structure of a lake ecosystem is constructed by analyzing the predation relationship among biological groups; the multifunctionality of the lake is evaluated by integrating clustering analysis and a functional threshold method; the method comprises the following steps: constructing a sectional structure equation model based on a nutrition structure relationship of a food web, fitting each path in the model through a mixed effect model, analyzing a path coefficient between nutrition level richness and multifunctionality, and calculating direct and indirect effects of the path coefficient; and finally, identifying the key biological class group which has the greatest influence on the ecological function of the lake. According to the method, the key biological class groups with decisive influence on the ecological function of the lake can be accurately identified, a clear target is provided for ecological protection and restoration, and the method has practical reference significance in making practical restoration management measures.

An evolutionary algorithm is used to determine parameters of a production process of a complex microorganism community, CMC, product given a target profile for the CMC product. CMC mixing operation and co-cultivation operation of a CM C product are modelled, using learnt matrix-based models. The evolutionary algorithm iteratively modify candidates representing the parameters, including a set of complex microorganism community samples in the initial sample collection and mixing ratios for one or more mixing operations in the production process. The determined set of samples and associated mixing ratios are then used to control actual picking and processing of complex microorganism community samples according to the mix production process, to obtain a CM C product as close as possible, in terms of profiling features, to the target profile.