95 results about "Community" patented technology

The invention relates to the technical field of water ecological restoration, solves the technical problems that in the prior art, fine design, adaptability and robustness are insufficient, and particularly relates to a lakeside zone ecological restoration method based on microtopography and vegetation community integration. Constructing a lakeside zone water depth and flooding duration pattern, parameterizing a bank slope microtopography by step elevation, width and gradient, and calculating a corrected water depth and a hydrodynamic exposure index by adjusting parameters; introducing a suitability scoring function to establish a functional response model for realizing quantitative matching of the microtopography steps and the vegetation communities; and constructing a comprehensive evaluation function and a robustness index by integrating ecological function indexes under various hydrological scenes, and carrying out joint optimization on microtopography and vegetation configuration. According to the method, the lakeside zone recovery design is converted from experience zoning into a computable and comparable integrated scheme, and the method is suitable for various lakeside zones such as natural gentle slope lakesides and urban hard revetments.

The invention discloses a lake and reservoir dominant algae community structure prediction method and system based on machine learning and a storage medium, and relates to the technical field of water environment monitoring and ecological prediction. Comprising the following steps that multi-source heterogeneous spatio-temporal data are obtained and fused, and the multi-source heterogeneous spatio-temporal data are historical time sequence data of a target water area; generating a feature vector from the fused multi-source heterogeneous spatio-temporal data; constructing a multi-output regression machine learning model, and inputting the feature vector into the multi-output regression machine learning model for training to obtain a multi-output prediction model; and inputting real-time monitoring data into the multi-output prediction model to generate a prediction result of a future dominant algae community structure. According to the method, whether cyanobacterial bloom or diatom bloom exists in the future can be clearly early warned, so that a manager can take targeted measures, for example, a specific algicide or ultrasonic equipment is used for the cyanobacteria, blind pesticide application is avoided, and the cost and the secondary pollution risk are reduced.

The invention relates to the technical field of seawall ecological transformation, and discloses a slope type seawall inner slope ecological transformation method which comprises the following steps: selecting a seawall section suitable for ecological transformation according to three first-level indexes, namely a seawall shoreline foundation, hydrology and water quality conditions and surrounding environment conditions; constructing a pool in the selected seawall section according to the terrain; constructing a pool base; and constructing a plant community in the water pool according to the life type, the phenological period and the salt tolerance of the plant. According to the method, a proper transformation section can be selected in combination with various environmental factors of a transformation area, then a corresponding water pool is constructed in combination with the landform, then a proper ecological material is selected to construct a substrate, and different plant communities are constructed in the water pool according to the characteristics of different plants. A natural-imitated seawall ecological space is built, the flood prevention and tide blocking functions of the seawall are guaranteed, the hygrophytes, aquatic plant communities and planktons can be utilized, an inhabiting and foraging environment is built for aquatic animals and hydrophilic birds, and the ecological service function of the seawall is 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 provides a microbial ecological interaction mechanism determination method and device, and relates to the technical field of species correlation research. The method comprises the following steps: determining N microorganisms and abundance thereof based on metagenome data of a target environment sample; determining the abundance grade and correlation based on the abundance of the ith microorganism and the jth microorganism; carrying out metabolic function annotation on the i microorganism and the j microorganism based on a reference genome, and calculating a function overlapping ratio; determining a community construction mechanism based on the abundance correlation and the function overlapping ratio; based on the function overlapping difference, determining a function overlapping grade change; and determining the ecological interaction mechanism of the i and j microorganisms according to the information. The method can be used for systematically revealing a species coexistence mechanism and a metabolic interaction relationship thereof in the microbial community.

The invention discloses a water ecological health assessment method based on sensitive species and community stability. The method comprises the following steps: step 1, identifying key species and sensitive species; 2, quantifying ecological system stability indexes, and calculating stability attributes based on plankton community composition time and functional time sequence data; step 3, constructing a multi-dimensional evaluation index system; step 4, data standardization processing: carrying out data cleaning, standardization and dimension reduction processing on the multi-dimensional evaluation indexes; 5, determining an index weight based on an entropy weight method; step 6, calculating an ecological health quality index; and step 7, ecological system health state evaluation: according to the ecological health quality index value, evaluating the ecological system health state and carrying out grading so as to provide a basis for management decision making. According to the method, the nutrition cascade effect and the species interaction can be captured; ecological system degradation can be early warned, and the accuracy of ecological health assessment and the pertinence of environment management are improved.

This application discloses a comprehensive assessment method and system for multi-source data management and correction of watershed fish resources. The method includes: extracting multi-dimensional features from a first data matrix to obtain a first feature matrix; classifying species data based on anomaly scores, outputting verification results, and correcting the first feature matrix to obtain a second feature matrix; acquiring environmental DNA sequencing data and corresponding environmental data; obtaining a first eDNA dataset from the environmental DNA sequencing data through ecological screening; correcting the species in the first eDNA dataset to obtain a second eDNA dataset; fusing the second eDNA dataset with the second feature matrix; calculating biodiversity indices and analyzing community structure; analyzing long-term trends in population and community structure; and generating a comprehensive assessment report. This application achieves full-process automation and intelligence from data quality control and fusion to assessment, significantly improving the accuracy and efficiency of watershed fish resource assessment.

The application discloses a kind of urban lake algal bloom measurement method based on algal vertical distribution structure analysis, belong to environmental science field, the application constructs with column plane concentration level, column plane algal community composition, column plane aggregation characteristics and column plane profile form as key dimension, including 14 single index algal vertical distribution structure comprehensive evaluation index system, realizes the quantitative analysis of algal vertical distribution structure.The application establishes a set of fast response and risk classification as core algal bloom measurement process, including algal in-situ stereoscopic observation, algal vertical distribution structure comprehensive evaluation, algal vertical distribution structure classification and algal bloom and risk identification etc.Step.The method breaks through the limitation of traditional method in monitoring dimension, observation data is not fully mined and algal bloom determination standard is fuzzy etc.Limit, lays a theoretical foundation for algal bloom monitoring and evaluation system research, application in urban lake can provide technical means and scientific basis for algal bloom prediction and early warning and algal bloom precision prevention and control.

The present invention discloses a method for predicting the stability of microbial communities in river water bodies by utilizing the patch density of land use in a watershed. The present invention relates to the technical field of microbial community stability prediction and watershed water ecology research, and addresses the deficiencies of traditional research methods in revealing the association and prediction between land use and microbial community stability. The method comprises obtaining land use data of the target watershed, calculating the patch density of each sampling point in the buffer zone; collecting samples to determine the composition of microbial species; preprocessing the data, and performing hierarchical clustering grouping based on the patch density; calculating the average variation dissimilarity of the groups to characterize the stability of the microbial community; conducting statistical analysis and performing a spatial autocorrelation test; comparing the prediction performance of different regression models, and selecting the best model to predict the stability of the microbial community in unsampled areas. This method significantly improves the prediction efficiency and accuracy, and provides reliable technical support for watershed ecological management and land planning.

The application of "a unit type tidal wetland restoration method based on a target" belongs to the technical field of wetland ecosystem restoration methods. The unit type tidal wetland restoration method based on a target comprises the following steps: (1) determining a target; (2) constructing an ecological unit on the tidal wetland to be restored through microtopographic modification; (3) applying biochar materials and salt-resistant ecological materials in the ecological unit; and (4) configuring waterfront plants in the ecological unit. The restoration method utilizes natural tidal fluctuation to adjust the water and salt conditions of the ecological unit (salt reduction of more than 80%) and to maintain the target water level (0-2 m) as needed, optimizes the soil microbial community structure (soil bacterial richness is increased by more than 200%), improves the plant germination rate and survival rate in the process of tidal restoration (the germination rate is more than 90%, and the survival rate is increased to more than 62%), and enriches the plant configuration varieties in the riparian zone (≥12).

The application provides a kind of urban community ecological resilience rapid evaluation method and system, it is related to the present situation evaluation and urban renewal planning management technical field of national space planning.The method first collects city index data, establishes city standard database;Then calculate the resilience evaluation value of each community in the city in three dimensions of scale, density, form, generate the comprehensive sorting index of each community;Again, the comprehensive sorting index of each community is arranged in ascending order, and the final community sorting sequence is obtained, and the resilience benchmark value of the three dimensions of the community is determined;Finally, the resilience of each community in three dimensions is classified, and the community is divided into strong resilience community and weak resilience community;Based on the resilience classification of community in scale, density, form resilience three aspects, the comprehensive resilience of community is evaluated.The method takes community as the minimum unit of resilience evaluation, constructs the evaluation index of urban community ecological resilience, and realizes the evaluation of community ecological resilience quickly.

A system (100) and method for a community ecosystem infrastructure (110) are provided, which may include providing an association of an asset (115) to an entity (102). The method includes receiving asset data (171A, 171B) relating to an asset (115), as well as geographical information associated with the asset data (171 A, 171B), from a geographical information service (138). The method includes transmitting, to a plurality of verifying entities, a request to verify an association of the asset (115) to the entity (102), and receiving, from at least one of the pluralities of verifying entities, a response indicating an approval or rejection of an association between the asset (115) and the entity (102). The method includes determining, based on the responses received, a certification of association of the asset (115) to the entity (102).

This invention provides a geochemical method and system for identifying phytoplankton community succession, relating to the fields of aquatic environmental geochemistry and ecological environment monitoring. The method involves simultaneous sampling of a target water body to determine water chemical parameters, dissolved inorganic carbon, particulate organic carbon, and stable carbon isotopes, while simultaneously acquiring data on the species composition and relative abundance of phytoplankton. Based on the water chemical parameters, the forms and concentrations of dissolved inorganic carbon in the water body are determined to ascertain the carbon source utilization pattern. The stable carbon isotope shift in the water body is determined based on the dissolved inorganic carbon, particulate organic carbon, and stable carbon isotopes. Furthermore, the stage of phytoplankton community succession in the target water body is identified by comparing the carbon source utilization pattern and the stable carbon isotope shift with the indicators. This invention enables early identification of the community succession process based on changes in carbon source utilization patterns, even before changes in phytoplankton community morphology become apparent.

The present application relates to the technical field of ecological restoration, and particularly relates to a vegetation group ecological restoration design method based on multi-factor weighted scoring, comprising the following steps: investigation and scoring; index calculation; grading matching; vegetation configuration design; implementation and verification. The present application calculates an ecological restoration suitability index by investigating key environmental factors, introduces a multi-layer matching mechanism in combination with an actual scene, matches corresponding grades according to the score, and independently designs a vegetation group ecological restoration scheme for different regions after partitioning, so as to achieve the ecological restoration goal. The present application proposes a layered semi-circular vegetation group module, which not only enhances the structural stability and improves the water purification capacity, but also creates habitat continuity and spatial heterogeneity in the aquatic-terrestrial transition zone, significantly improves the ecosystem service function, and the mode has landscape function and ecological function, and is suitable for various types of ecological restoration scenes, and has promotional value.

The present application relates to the technical field of ecological restoration, and discloses a shallow lake submerged plant community configuration method and device, the method comprising: establishing a submerged plant grading screening model; wherein the submerged plant grading screening model comprises habitat condition grading, substrate condition grading and water quality grading; screening a plurality of species of submerged plants using the submerged plant grading screening model to determine the species of the screened submerged plants; obtaining submerged plant trait parameters for the plurality of species, and calculating a comprehensive tolerance index for each species of submerged plant based on the submerged plant trait parameters for the plurality of species; determining a species priority based on the comprehensive tolerance index for each species of submerged plant; and configuring a shallow lake submerged plant community based on the species of the screened submerged plants, the species priority and engineering parameters. The present application comprehensively considers ecosystem resilience and species diversity, ensures functional complementary configuration of species, and guarantees long-term stability of submerged plant community configuration in water ecological restoration.

This invention discloses a method and apparatus for fine extraction of aquatic vegetation and landscape connectivity assessment in rivers and lakes based on high-resolution remote sensing, belonging to the field of environmental remote sensing monitoring and water ecology assessment technology. It includes: acquiring and preprocessing high-resolution satellite imagery to obtain a standardized remote sensing image dataset; extracting water body masks and aquatic vegetation coverage areas through hierarchical threshold segmentation; constructing a dual-threshold discrimination rule based on the normalized vegetation index and soil-regulated vegetation index to finely divide the distribution areas of floating and submerged plants; constructing a binary raster map of vegetation distribution based on the distribution areas; combining a preset connectivity distance threshold; calculating the landscape connectivity index of vegetation patches based on graph theory; determining the ratio of equivalent connected area to effective connected area; and completing a comprehensive assessment of the ecological effectiveness of the aquatic vegetation community. This invention is mainly used for remote sensing monitoring of aquatic vegetation in urban rivers and lakes and for assessing the effectiveness of water ecology restoration, effectively mitigating spectral interference from complex water body sediment backgrounds.

The invention relates to the technical field of water conservancy projects, and discloses an ecological restoration method and system for a three-side light river channel. The method comprises the following steps: breaking a hardened layer in a layered manner to retain a bottom layer, and laying a microbial preparation-containing water-permeable substrate layer; a deep pool and shoal microtopography is constructed through the roughness coefficient, and ecological steps and honeycomb-shaped grooves are arranged; dividing functional zones, configuring hydrological regulation and control devices, and establishing an artificial wetland matrix; various vegetation is planted in a layered manner according to water depth gradient, and a three-dimensional vegetation community structure is constructed by slowly releasing a regulator. According to the method, the problem that systematic technology integration and precise regulation and control means are lacked in ecological restoration of the three-side light river channel is solved.

A community-based nature conservation planning system for pilgrimage cities, consisting of: A data collection module gathers qualitative data from various stakeholder groups, including residents, government officials, non-governmental organizations, tourists, pilgrims and businesses, using surveys and questionnaires; a module for identifying interest groups, configured to classify interest groups based on their attributes such as power, legitimacy and urgency, and to divide the interest groups into primary, secondary and tertiary interest groups; a community mapping module configured to generate a shared cultural heritage map by aggregating data on cultural heritage sites, priority intervention areas, indicators of physical impact, indicators of economic impact, and indicators of socio-cultural impact of pilgrimage tourism; a participation assessment module configured to evaluate the level of citizen participation in urban conservation by analyzing stakeholder responses and determining the level of participation based on predefined criteria; a framework generation module consisting of a computing processor configured to generate a cyclical and iterative community-based nature conservation framework consisting of several phases, including defining objectives based on community needs and goals, analyzing information exchange, identifying appropriate forms of community participation, jointly developing nature conservation plans, and identifying intervention strategies; a data storage module configured to store the collected data, the shared cultural heritage map, the evaluation results, and the generated framework; and a user interface connected to the data storage module and configured to display conservation strategies and dissemination recommendations based on the generated framework for implementation in the pilgrimage cities.

The application relates to the technical field of ecological protection, and discloses a vegetation community configuration management system for ecological restoration of a dry valley, which comprises a multidimensional acquisition module, a community analysis module, an ecological evaluation module, a treatment analysis module and a configuration management module. The system fuses data through the multidimensional acquisition module, the community analysis module quantifies the growth tendency of the vegetation community in terms of functional composition, vertical structure and stand type through growth indicators, the ecological evaluation module comprehensively reflects the supporting capacity of topography and soil factors on the vegetation habitat through site index, the multidimensional evaluation has high precision, the treatment analysis module evaluates the comprehensive effect of a treatment scheme in terms of water source regulation, soil improvement, vegetation restoration and erosion control through efficiency index, the configuration management module judges the intervention level of the ecological environment in the dry valley region, the improvement level of site conditions, and the adaptation level of the treatment scheme, outputs corresponding judgment results and response measures, and has good intelligent management and protection effect.

This invention provides a method and system for mine ecological restoration, relating to the field of ecological environment restoration technology. The method includes: obtaining soil damage characteristics based on a pre-acquired ecological area to be restored; obtaining a mine geological composition based on the soil damage characteristics and pre-acquired restoration goals, combined with geological soil selection principles; obtaining a plant species composition based on sampling results from pre-acquired sample plots and restoration goals; and performing ecological restoration of the ecological area to be restored based on the mine geological composition and plant species composition. This invention accelerates the process of geological soil formation and vegetation restoration in abandoned open-pit mines, improves the tolerance of restored vegetation communities to climate fluctuations, and truly achieves precise and sustainable ecological restoration of open-pit mines.

The invention discloses a benthic organism sample identification and analysis method and system based on data mining. The method comprises the following steps: firstly, acquiring standard image data of benthic organisms in different growth stages, extracting appearance features and constructing a feature database; establishing an identification model based on the database, collecting target sample and community three-dimensional structure image data by using an underwater robot, and carrying out initial identification; and if the result is not unique, mining an inter-species relationship, constructing a community relationship network in combination with a graph theory algorithm, calculating the credibility of the identification result, and performing secondary identification to obtain a final result. The method improves the identification accuracy and reliability, and is suitable for marine ecological monitoring and biodiversity research.

The invention relates to the technical field of habitat construction, in particular to a frog habitat construction and recovery method and device based on a fragmentation space. The method comprises the following steps: screening a fragmentation space based on amphibian habitat landscape pattern indexes to determine a restoration area, and determining obstacle points and ecological pinch points of the restoration area; obstacle points and ecological pinch points are considered, the restoration area is shaped, and a land transition area, a shallow water area and a shoal area are constructed; determining a water source communicated with the restoration area; and determining vegetation communities needing to be recovered in the land transition area, the shallow water area and the shoal area based on environmental characteristics and vegetation characteristics. According to the method, on the basis of the characteristics of the fragmentation space, aiming at the inhabiting, foraging, breeding and other requirements of frogs, the fragmentation space is reasonably utilized, the space habitat is restored by determining the restoration area, shaping the area, communicating the water source, determining the vegetation and the like, the biodiversity of the area is improved, and sustainable development is achieved.

The invention relates to the technical field of ecological restoration and environmental engineering, and solves the technical problems that in existing engineering, species screening lacks a quantitative basis for substrate adaptation, an ecological window is not brought into an optimal decision, the function of an inhabiting device is single, and an evaluation result is difficult to translate into executable layout parameters. The method comprises the following steps: collecting substrate factor data of a target water body, unifying dimensions, comparing the data with a species response database, calculating a substrate matching score, and combining ecological windows such as water temperature, flow velocity, disturbance, transparency and the like to generate an optimal selection index; and outputting the target species, the suitable putting time period and the device layout parameters. According to the method, an integrated decision of seed selection, timing and layout is achieved, the colonization success rate and community stability are remarkably improved, the method is suitable for various water bodies such as lakes, rivers and wetlands, and the long-term restoration effect and operation and maintenance economical efficiency can be improved based on monitoring feedback iteration optimization parameters.

The invention discloses a data-driven biodiversity monitoring management method based on multi-source fusion, and particularly relates to the technical field of ecological environment monitoring. Multi-source heterogeneous ecological data of remote sensing images, species records, environmental sensors, community science and the like are obtained and subjected to standardization processing to generate a unified data matrix; based on a space grid model and a sliding time window mechanism, space-time sequence features of all grid points are extracted; generating an embedded vector by using a pre-trained multi-modal ecological representation learning model, and predicting a species diversity index of each region in combination with a species inhabiting adaptability model; a spatio-temporal evolution graph is further constructed, an abnormal change area is identified, and unmanned aerial vehicle cruising and high-frequency monitoring tasks are dynamically scheduled; according to the method, the intelligence, the real-time performance and the precision of ecological monitoring can be improved, and the method is suitable for various application scenes such as natural reserves and biodiversity hot spots.

This invention addresses the common problems in existing technologies for determining the succession stage of vegetation communities in ecological restoration areas, such as high misjudgment rates using single indicators, lack of scientific basis for threshold classification methods, and insufficient comprehensiveness and accuracy of determination results. It proposes and discloses a more comprehensive and accurate method for determining the succession stage of vegetation communities in ecological restoration areas. This method first systematically obtains multi-dimensional indicator data, including plant community structural characteristics, soil functional attributes, and ecosystem functional performance, through quadrat surveys. Then, it constructs a three-level indicator system comprising a target layer, a criterion layer, and an indicator layer. The relative weights of each determination indicator are scientifically determined using the analytic hierarchy process (AHP), and a comprehensive succession index is finally calculated. Based on pre-established criteria for determining the succession stage of vegetation communities, the specific succession stage of the plant community can be accurately and objectively determined.

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.

The invention provides a lake water ecological system restoration method based on staged biological regulation and control, and belongs to the field of water environment treatment and water ecological restoration. According to the method, directional putting and regulation of aquatic animal communities are performed in three stages according to the recovery process of submerged plants: in the early regulation stage, carnivorous fishes are put to inhibit breeding of benthic omnivorous fishes; a middle-stage regulation and control stage: introducing benthonic animals to cooperatively control the quality of algae biomass and improve the transparency of the water body; in the later regulation and control stage, herbivorous fishes are put to promote plant tillering, lateral branch development and root system downward growth and expansion, and the substrate fixing capacity is enhanced; according to the method, the aquatic animals with the specific function class groups are sequentially put in stages, directional regulation and control of the aquatic animal community structure are effectively achieved, the planting success rate of the submerged plants is increased, growth of the aquatic plants is promoted, water transparency is improved, and a stable water ecosystem with the self-purification capacity is constructed.

The invention discloses a method for predicting the stability of microbial communities in a river water body by utilizing plaque density of a drainage basin land. The invention relates to the technical field of microflora stability prediction and watershed water ecology research, and solves the defects of a traditional research method in the aspects of revealing association and prediction of land utilization and microflora stability. The method comprises the following steps: acquiring land utilization data of a target watershed, and calculating patch density of each sampling point in a buffer area; collecting samples and determining microbial species composition; preprocessing the data, and performing hierarchical clustering grouping based on plaque density; calculating grouping average variation dissimilarity to characterize the stability of the microbial community; statistical analysis is carried out, and spatial autocorrelation test is carried out; and comparing prediction performances of different regression models, and selecting an optimal model to predict the stability of the microflora in the unsampled area. According to the method, the prediction efficiency and precision are remarkably improved, and reliable technical support is provided for drainage basin ecological management and land planning.

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.