72 results about "Biocoenosis" patented technology

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 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 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 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.

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.

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.

The invention relates to the technical field of water pollution treatment and water ecological restoration engineering, and particularly discloses a semi-fixed biological floating island coupled biological membrane device for sewage treatment. Comprising a floating island platform which comprises a floating island platform frame; the biofilm carrier system is hung on the lower side of the floating island platform frame and comprises an adsorption valve and a plurality of hanging carrier units; the anchoring system is arranged below the floating island platform frame; and the aeration system is matched with the suspension carrier unit. According to the device, through the arrangement of the suspension carrier unit, the most effective denitrification microbial community can be screened and cultured from the source, and is pre-loaded on a biological membrane carrier, so that the coupling of ultrafiltration membrane-biological rope directional mass transfer and a pre-domesticated moving bed biological membrane and the closed-loop treatment of'interception-decomposition-transmission-absorption 'of pollutants are realized; the limitation that a traditional floating island depends on passive adsorption is broken through; the problems that an existing biological floating island technology is poor in fixing effect and low in removal efficiency of TN in water are solved.

In one embodiment, a controlled closed-ecosystem development system (CCEDS) includes one or more a closed ecological systems (CESs) each having one or more controlled ecosystem modules (CESMs). Each CESM can have a biome containing at least one organism, and equipment comprising one or more of sensors, actuators, or components that are associated with the biome. A controller operates the equipment to effect transfer of material among CESMs to optimize one or more of organism variety, size, population, capacity, or sustainability of a biome of at least one CESM.

The invention discloses an ecological restoration method for regulating and fixing heavy metals by utilizing a rhizosphere effect, and belongs to the technical field of water environment ecological restoration. According to the method, the pollution degree, form and release risk of target heavy metal in the sediment are determined through pollution diagnosis, then submerged plants with specific rhizosphere oxygen secreting and acidification capacity are screened in a targeted mode for single planting or mixed planting, a stable submerged plant community is constructed, iron and manganese oxides are formed through induction of the plant rhizosphere effect, and the target heavy metal in the sediment is obtained. According to the method, the in-situ remediation of heavy metal pollution is realized, the function of rhizosphere microflora is regulated and controlled, the form of the heavy metal with higher activity is converted into a stable form or is adsorbed and fixed on a rhizosphere iron membrane, meanwhile, the remediation process can be monitored through an in-situ high-resolution monitoring technology, and finally, the in-situ remediation of the heavy metal pollution and the collaborative restoration of a water ecosystem are realized. The method is clear in mechanism, high in pertinence, environment-friendly, low in cost and monitorable in effect, and can be widely applied to remediation of sediment heavy metal pollution of shallow water bodies such as lakes, river channels and ponds.

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 present invention provides a method for evaluating the composition and structure of ancient lake biomes, relating to the fields of paleoecology and oil and gas geology, and comprising the following steps: S1, obtaining two rock samples from lacustrine fine-grained sedimentary rocks; S2, performing kerogen separation and enrichment on one rock sample, and determining the major categories of ancient lake organisms under microscopic observation; S3, based on the major categories of organisms, performing gas chromatography, gas chromatography-mass spectrometry, and isotope mass spectrometry analysis on the other rock sample to identify the composition and content of biomarker compounds with biogenic significance and to identify the organism type; S4, based on the preservation efficiency of the identified biomarker compounds in the environment and the quantitative generation relationship between the biomarker compounds and their parent sources, restoring the original content of the compounds and determining the structure of the ancient lake biomes. The present invention has the following beneficial effects: accurate conclusions, high feasibility, and solves the problems of multi-source interpretation of the same type of biomarker compounds and restoration of the original content of the biomarkers.

An evolutionary algorithm is used to determine parameters for a complex microbial community (CMC) product production process based on a target profile of the CMC product. The CMC mixing and co-cultivation operations for the CMC product are modeled using a trained matrix-based model. The evolutionary algorithm iteratively refines candidate parameters, including the set and mixing ratio of complex microbial community samples in an initial sample collection, for one or more mixing operations in the production process. The determined set of samples and associated mixing ratios are then used to control the actual extraction and processing of the complex microbial community samples according to the mix production process, resulting in a CMC product that is as close as possible to the target profile in terms of profiling characteristics.

The invention relates to the technical field of nuclear power ecological monitoring, and discloses a nuclear power water intake biocenosis change prediction system based on a fuzzy logic model. The system comprises an ecological data acquisition module, a fuzzy rule construction module, a membership generation module, a fuzzy reasoning prediction module and a risk early warning output module. The ecological data acquisition module acquires data such as position, time, water temperature and flow velocity of monitoring points, correlates the monitoring points to calculate habitat characteristic values, and generates a biocenosis characteristic set; the fuzzy rule construction module sorts time sequence modes, arranges adjacent time periods according to a time sequence, marks consistent and conflict modes, and obtains a time consistency rule mark set; the membership generation module evaluates the response sensitivity intensity of the community to the environment change and generates a fuzzy membership analysis result; a fuzzy reasoning prediction module identifies abnormal points to form a community fluctuation abnormal point set; and the risk early warning output module is used for marking point locations with succession risks and generating a prediction and risk early warning result.

The invention belongs to the technical field of estuary environment biodiversity monitoring, and particularly relates to a method for monitoring estuary environment biodiversity based on eDNA. According to the method, three core strategies of gradient partition point distribution, sediment-dominated collaborative sampling and multi-method parallel verification are creatively integrated, and a set of special eDNA monitoring method for the complex estuary environment is formed. The implementation result proves that the method can systematically, sensitively and non-invasively reveal the spatial pattern of the estuary biocenosis, and effectively solves the key technical problems that the traditional method is large in interference and low in efficiency, and the general eDNA technology is insufficient in pertinence to benthic organisms and poor in representativeness.