136 results about "Community" patented technology

The invention provides a coastal salt marsh vegetation and sediment deposition comprehensive carbon sink assessment method and system. The system comprises a vegetation dynamic module, a water power module, a carbon dynamic module and a vegetation dynamic-water power-carbon dynamic coupling module. Output results are divided into vegetation-water and sediment-landform space-time dynamic and ecological system carbon exchange space-time dynamic, and the results are used for landform development and carbon sink dynamic evaluation of the salt marsh-light beach system. On the basis of development of a grid type process model, a vegetation dynamic model, a hydrodynamic model and a carbon dynamic model are coupled together, a biogeochemical coupling model integrating interaction among biological, hydrological and geomorphic processes is constructed, and a biogeochemical process of coastal salt marsh vegetation dynamic and sediment carbon sink is parameterized; and an effective evaluation technology can be provided for community development and carbon sink dynamics of coastal wetland vegetation.

The invention discloses a large and medium shallow lake water quality improving method based on hydrodynamic optimization and vegetation community restoration, and relates to the technical field of lake treatment and ecological restoration. Comprising the following steps: step 1, reducing lake-entering pollution load; arranging an in-and-out river mouth sediment settling reservoir to increase a river mouth water-passing section; 2, high-concentration water entering the lake and low-concentration water in the lake body are isolated; remodeling a near-shore area terrain of a shore zone where the lake-entering river channel is located, and arranging an ecological submerged beach, a drainage groove and a mud flow capturing groove; 3, improving the habitat of the aquatic plants on the large water surface; designing matrix purse seine units for flow choking and wave dissipation; a plurality of matrix purse seine units are designed to spatially separate a large water surface, and floating plants are fixed in a local area by using the matrix purse seine units; 4, preparing an aquatic plant community; and recovering pioneer floating-leaf plants and submerged plants. According to the method, a hydrodynamic optimization project and a vegetation community reconstruction project are combined, the water quality is improved, and the ecological system structures of large and medium-sized shallow lakes are improved.

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 method for monitoring diversity of large benthic invertebrates in a river based on eDNA. The method comprises the following steps: step 1, selecting a river basin to be measured, and querying basic information of the basin; 2, collection and treatment of eDNA samples: designing sampling points and geographic positions, and collection and pretreatment of water samples; 3, measuring physical and chemical indexes; 4, extraction of eDNA, PCR amplification and high-throughput sequencing are carried out; and 5, performing data analysis on the results, wherein the data analysis comprises bioinformatics analysis, alpha diversity analysis, beta diversity analysis and correlation analysis of large benthic invertebrate communities and environmental factors. The diversity of the large benthic invertebrates is more accurately and efficiently investigated and monitored by analyzing DNA fragments existing in the environment.

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

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

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

The invention relates to the technical field of ecological environment science, in particular to a mangrove forest habitat core fish community prediction method, which comprises the following steps: acquiring fish eDNA data of a mangrove forest water area in different periods and performing data analysis to obtain composition structure data of a fish school; determining a food web; constructing an ecological network model; calculating a characteristic index of each species node in the ecological network model; carrying out standardization processing on the characteristic indexes; calculating a comprehensive score of the standardized feature indexes; important species and non-important species are distinguished according to the comprehensive score; important species data in different periods are preprocessed; calculating the highest similarity score between any two important species; evaluating the statistical significance; constructing an association network by using a species association result with statistical significance; and analyzing the association network to determine a core fish school. According to the method, the ecological network and correlation analysis are integrated, comprehensive analysis of the core fish community dynamics is realized, and the core fish school of the ecological system is accurately identified.

The invention belongs to the technical field of resources and environment, and discloses an ecological niche theory and machine learning integrated ecological intelligent zoning method, which comprises the steps of environmental factor and phytoplankton community data measurement, sampling point ecological niche width and overlap calculation, key environmental factor identification and ecological environment zoning. According to the method, data such as hydrochemical element phytoplankton communities, ecological niche overlapping and width can be effectively integrated, and a machine learning algorithm is applied to perform analysis, so that factors which have remarkable influence on an ecological system are identified, and scientific and reasonable ecological zoning is performed on a research area according to the key influence factors. The method not only can accurately reflect regional ecological characteristics, but also can provide important data support for ecological protection, species distribution prediction and water resource management. Meanwhile, the method can provide an effective basis for ecological environment monitoring, ecological restoration and regional environment planning in practical application, and has high application value and wide popularization prospect.

The invention discloses a predictive analysis method for spatio-temporal distribution of a species structure, and belongs to the technical field of ecological data analysis. The method comprises the following steps: S1, monitoring species data and related environmental factor data in a specific space-time range; s2, calculating a species uniformity index representing community stability based on the species data; s3, performing quantitative evaluation on the monitored environmental factor data by adopting a preset index evaluation method; s4, establishing a functional quantitative relationship between the species uniformity index and one or more environmental factor state indexes; and S5, simulating and predicting the variation trend of the species uniformity index in the future. By focusing the quantitative correlation between the species uniformity and the environmental factors and constructing the prediction model based on the correlation, the community structure change can be more sensitively captured, and the potential influence of the environmental change on the community stability can be quantitatively predicted; and more accurate and more targeted scientific basis and decision support are provided for prospective biodiversity protection and ecological system management.

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 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 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 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.

The invention relates to the technical field of ecology, in particular to an ecological evaluation method based on community specific species, which comprises the following steps: S1, evaluating phytoplankton ecological indexes by selecting an evaluation criterion, and standardizing the phytoplankton ecological indexes; s2, on the basis of the ecological index SEI of the phytoplankton, determining the change amplitude grade of the ecological condition of the phytoplankton; and S3, establishing a standard for grading the ecological indexes of the phytoplankton on the basis of verification and analysis of historical monitoring data. The phytoplankton has high sensitivity to environmental change, the change of the community structure and number of the phytoplankton can quickly reflect the change of the water body environment, the water body pollution problem can be found in time by regularly monitoring the change condition of the phytoplankton, early warning can be given out, and the ecological evaluation method based on the phytoplankton is provided for related departments. The health condition of the water ecosystem can be comprehensively and systematically evaluated, and a scientific basis is provided for protection and management of water resources.

The invention relates to a method for identifying microbial core species in a river ecosystem, and belongs to the field of microbial ecology. Through OTU relative abundance data, a presence-absence matrix is constructed, and an OTU occurrence rate and an average relative abundance are calculated. And evaluating the OTU ecological importance, and identifying a potential core OTU. And analyzing the consistency of the OTU occurrence frequency and the time scale in combination with the time point location, and generating a ranking index Index for ranking. And performing Bray-Curis similarity analysis to quantify the structural diversity of the OTU community, and identifying the OTU which has the greatest influence on the community similarity. And determining a core OTU threshold value based on an inflection point method and a growth rate method, verifying a core classification group combination mechanism by using a Sloan neutral model, and finally determining the representativeness of the core OTU by comparing the actual occurrence frequency with model prediction. According to the method, rich information is provided for explaining the diversity pattern of the microflora level.

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 invention discloses a fish community monitoring method based on environmental DNA and application thereof, and belongs to the technical field of aquatic ecology monitoring, the monitoring method comprises the following specific steps: I, constructing a three-dimensional hydrological model, identifying fish inhabiting hot spots, dynamically setting sampling points, and collecting water samples at the set sampling points; iI, processing the water sample collected at each sampling point, extracting regional fish environment DNA data, and storing each extracted DNA data; iII, collecting eDNA genes in the DNA data, and performing gene amplification and high-throughput sequencing on the eDNA genes to obtain high-throughput sequencing data; according to the method, direct fishing and interference on fish individuals can be avoided, the data acquisition efficiency is improved, the time-space continuity and accuracy of monitoring results are ensured, the sampling representativeness is improved, the eDNA preservation time is prolonged, the degradation risk is reduced, and the accuracy and reliability of species identification are improved.

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.