58 results about "Biocoenosis" patented technology

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 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 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.

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.

The invention discloses a soil microbial community composition data batch processing system, method and equipment, and relates to the technical field of microbial community processing, the system comprises: a flora data acquisition module acquires a flora data file, the flora data file comprises original flora measurement data of each soil sample in a plurality of soil samples, and the original flora measurement data is stored in a database; the sorting rule configuration module generates sorting rule data, the flora data sorting module performs sorting processing on the flora data file based on the sorting rule data, determines a parent class of each subclass in each flora original measurement data in the flora data file, obtains a sorted flora data file, and sends the sorted flora data file to the data processing module; and the flora data statistics module calculates the content of each subclass and the content of each parent class in each piece of flora measurement data in the sorted flora data file to obtain a flora data file after statistics. According to the invention, batch processing of the soil microbial community composition data can be automatically completed, and the processing efficiency is improved.

The invention discloses a soil and microorganism comprehensive monitoring system for a controlled environment, and relates to the technical field of environment monitoring, the system comprises the following components: a sensor module, a data acquisition and transmission module, a data analysis and processing module and a user terminal; advanced data algorithms and models are applied through the data analysis and processing module, collected data are deeply analyzed, the change trend of soil physicochemical properties is predicted in combination with related research results of saline-alkali soil improvement and straw returning, microbial community structure succession laws and carbon conversion function changes are analyzed, and the comprehensive performance of saline-alkali soil improvement and straw returning is improved. Through a modern molecular biology technology and a BIOLOG-ECO technology, the system can comprehensively evaluate the diversity of microbial carbon source substrate utilization functions and accurately grasp changes of microbial metabolism functions after straw returning, in addition, the system further has an intelligent early warning function, potential problems can be found in time through a dynamic threshold setting algorithm based on risk assessment, and the system has a good application prospect. And early warning information is sent to the user through the user terminal.

The invention belongs to the technical field of ecological environment evaluation, and discloses a coastal zone ecological restoration effect dynamic evaluation method based on satellite remote sensing data, which comprises the following steps of: firstly, combining satellite remote sensing with ground monitoring to obtain space-time continuous ecological parameters, eliminating dimensional difference through normalization to ensure data comparability, and then, carrying out dynamic evaluation on the coastal zone ecological restoration effect. A mathematical model of a first ecological restoration coefficient, a second ecological restoration coefficient and a third ecological restoration coefficient is dynamically constructed, the first ecological restoration coefficient reflects biocenosis restoration potential, the second ecological restoration coefficient quantifies hydrological suitability, and the third ecological restoration coefficient evaluates water quality stress; setting a threshold interval, judging a single item, calculating a comprehensive evaluation value, carrying out comprehensive evaluation on ecological restoration according to the comprehensive evaluation value, calculating an ecological score when the evaluation result is unqualified, and preferentially restoring a low score item.

The invention provides an environment restoration method based on a coral transplantation technology, and relates to the technical field of marine ecological environment protection. The method comprises the following steps: firstly, collecting benthic organism samples through marine ecological environment investigation, recording distribution characteristics, and generating benthic organism distribution data; on the basis, analyzing a biocenosis structure and evaluating ecological sensitivity, determining a coral transplantation type list and transplantation region coordinates, and generating a coral transplantation plan; then constructing a coral-microorganism symbiotic system in a transplantation area by utilizing a microbiome enhanced transplantation technology, and generating three-dimensional coordinate data of the symbiotic system; and finally, combining an engineering construction time sequence and coordinate data of the symbiotic system, arranging a suspended matter prevention and control device to limit pollutants from being migrated to the symbiotic area. According to the method, the survival rate of corals is increased through microbial enhancement, diffusion of suspended solids is accurately prevented and controlled, and collaborative optimization of engineering disturbance minimization and ecological restoration in the abrupt-change terrain area is achieved.

The invention provides a health evaluation method and system for a mountain river ecosystem based on a food web, and relates to the technical field of ecological environment science and aquatic ecology, and the method comprises the steps: collecting data of the mountain river ecosystem; constructing an Ecopath model database according to the mountain river ecosystem data; according to the Ecopath model database, an Ecopath model is constructed; and establishing an ecological system evaluation method based on an Ecopath model, and performing health evaluation. The method comprehensively considers the interaction, physical and chemical environmental factors and unique hydrological characteristics of the multi-trophic-level biocenosis of the mountainous river, and solves the problem that the traditional evaluation method neglects the structure and function of the food web and is difficult to accurately quantify the ecological health condition. And a new technical means is provided for protecting and managing a river ecosystem in a mountainous area under the interference of climate change and human activities.

The invention discloses a microbial community monitoring method, system and equipment for wetland soil, and relates to the technical field of microbial monitoring. The method comprises the following steps: acquiring an original monitoring spectrum of a target monitoring point in target wetland soil; correcting the original absorbance in the original monitoring spectrum based on the first calibration curve to obtain a first corrected spectrum; the first calibration curve is used for representing a change curve of the pure moisture simulated absorbance corresponding to each wavelength point along with the moisture content, and the first correction spectrum is used for representing a spectrum after moisture interference is removed; on the basis of the first test fluorescence intensity of each wavelength point at different moments under the humus change condition, correcting the original fluorescence intensity in the first correction spectrum to obtain a second correction spectrum; the humus content is linearly changed under the humus change condition, and the second correction spectrum is used for representing the spectrum after humus interference is removed; and carrying out spectral analysis on the second correction spectrum, and determining the activity indexes of various ecological functions in the target wetland soil.

The application belongs to the field of agricultural technology, and particularly relates to a preparation method of artificial soil, which comprises the steps of two-stage fermentation, construction of a nano-mineral and biochar composite skeleton system, inoculation of a composite microbial agent, soil activation and the like. The application simulates a natural soil formation mechanism in a systematic manner, combines soil, biology and material science, focuses on three key dimensions of organic matter gradient conversion, mineral skeleton precise construction and microbial community cultivation, improves multi-source organic waste cooperative aerobic fermentation, develops nano-scale mineral activation and biochar modification technology to construct a multi-level pore structure similar to a honeycomb, and implants a specific functional microbial community, so that a soil self-sustaining ecosystem is rapidly established, and high humus, high structural stability and high biological activity of the soil are achieved.

The application provides a species identification feature representation method and device, electronic equipment and a storage medium, and relates to the technical field of artificial intelligence. The method comprises: acquiring a trait sequence of a species; inputting the trait sequence of the species into an identification feature query model to obtain a neural embedding of the species output by the identification feature query model; wherein the identification feature query model is trained based on sample trait sequences of sample species carrying labels; the label of the sample trait sequence of the sample species is obtained by inputting the evolutionary trajectory data of the evolutionary biotic community in which the sample species is located into an information encoding model; the information encoding model is trained based on sample evolutionary trajectory data of a sample evolutionary biotic community; and the information encoding model is used to encode the evolutionary trajectory data at different scales to capture multi-scale information of the species in the evolutionary trajectory data, thereby improving the accuracy of the prediction result of the evolutionary process of the biotic community in which the species is located.