29 results about "Species diversity" patented technology

The present invention discloses a method for predicting river aquatic biodiversity based on remote sensing and environmental DNA. The method comprises the following steps: determining the abundance of a first species at each sampling point in the entire river basin based on the environmental DNA of each sampling point; determining the patch corresponding to each sampling point based on the sampling point and the species activity range, and determining the first remote sensing index based on the pre-acquired remote sensing vegetation index and the corresponding first species abundance in the patch; training a first preset model based on the first remote sensing index and the corresponding first species abundance in each patch, and determining the first preset model as a species abundance model when the first preset model reaches a preset standard; dividing the entire river basin into multiple patches, and determining a second remote sensing index in each patch, wherein the second remote sensing index is determined by the remote sensing vegetation index corresponding to the first remote sensing index; inputting the second remote sensing index in each patch into the species abundance model, and determining the second species abundance in the entire river basin, so as to determine the species diversity in the entire river basin.

The invention discloses a grassland ecosystem quality evaluation method combining species diversity and grassland bearing capacity. The grassland ecosystem quality evaluation method comprises the following steps that grassland ecosystem quality is obtained by calculating three first-level indexes including grassland ecosystem elements, grassland ecosystem functions and grassland ecosystem stability through the following formula: EQI = (A * EE + B * EF + C * ES) * 100%; in the formula, EQI is the grassland ecosystem quality index; eE is a grassland ecosystem element index; eF is a grassland ecosystem function index; eS is a grassland ecosystem stability index; a, B and C are first-level weights calculated through the judgment matrix. According to the method, the quality state of the grassland ecosystem can be reflected more accurately and comprehensively, evaluation indexes are standardized, and a reliable basis is provided for grassland sustainable utilization, grass and livestock balance management and ecological protection policy making.

The invention discloses a progressive structure adjustment, quality-improving cultivation and actual performance evaluation method for a needle-leaved pure forest. The method comprises the following steps: (1) on-site treading; (2) dividing an operation area; (3) crown boundary falling; (4) thinning old forests; (5) width reinforcement and forest cultivation; and (6) carrying out actual effect evaluation. According to the method, structure adjustment and tree species updating of the artificial needle-leaved pure forest are implemented step by step and purposefully through a series of working procedures, and on one hand, the species diversity of the needle-leaved forest and the forest appearance landscape are remarkably improved through gradual supplementation of broad-leaved tree species; and on the other hand, forest endoplasm transformation and community optimization are accelerated by thinning old and cultivating young animals and improving soil, the forest productivity and the forest ecological service function are remarkably improved, excellent forest habitat, reasonable structure, good function and benefit improvement are promoted, and excellent inhabiting and nursing conditions are provided for various wild animals.

The invention relates to the technical field of grassland species assessment, and discloses a grassland species diversity assessment method and device based on a vegetation radiation transfer model, and the method comprises the steps: constructing a grassland quadrat three-dimensional model with different species compositions and different canopy structure complexities; simulating a grassland plant leaf reflectivity spectrum curve and a soil background reflectivity spectrum curve; simulating a grassland canopy hyperspectral image according to the grassland plant leaf reflectivity spectrum curve and the soil background reflectivity spectrum curve; calculating a canopy spectral diversity index and a canopy structural shape of the grassland quadrat three-dimensional model; and constructing a grassland species diversity evaluation model to evaluate the grassland species diversity by using the single or combined canopy spectral diversity index and canopy structural shape. According to the method, parameters such as possible influence factors for evaluating the diversity of grassland species based on canopy spectral measurement in field experiments can be effectively controlled, interference factors are eliminated for grassland species evaluation, and the effects of variable control and accurate evaluation are achieved.

The invention discloses an aquatic organism diversity analysis method based on hydropower station construction influence, and is applied to the technical field of biological diversity analysis. Comprising the following steps: dividing a target water body into a plurality of monitoring areas according to a hydropower station construction scheme; hydrological data and biodiversity data are collected in different periods; performing space-time analysis on the hydrological data and the biodiversity data of different monitoring areas, identifying change conditions and calculating quantitative indexes; matching the hydrological data with the biodiversity data, and analyzing the influence capability of different parameters in the hydrological data on the biodiversity data; and evaluating the influence degree of the hydropower station construction on the aquatic organism diversity. Multi-source parameters before hydropower station construction, in the construction process and in the operation process are monitored, the influence of hydropower station construction on aquatic organism diversity of a target water body is analyzed through hydrological data, and data reference is provided for protecting species diversity.

The invention discloses an ecological and economic multi-target collaborative decision-making system and method for comprehensive treatment engineering in the technical field of ecological environment treatment, and the system comprises a data collection module which is used for obtaining the historical data of carbon reserves and undetermined influence factors; the data screening module is used for acquiring model influence factors and dividing the model influence factors into governance regulation factors and non-regulation factors; the reference analysis module is used for obtaining a governance regulation factor reference value based on the carbon reserves and the species diversity index; the adjustment amplitude analysis module is used for setting the adjustment amplitude and determining the numerical change of a non-adjustment factor; the model construction module is used for obtaining a carbon reserve prediction model; and the carbon reserve assessment decision module is used for carbon reserve prediction and adjustment amplitude determination. According to the method, the ecological target and the economic target are jointly used as the basis of reference definition, the regulation and control scheme is generated based on the basis, and decision support with both ecological and economic benefits is provided for treatment engineering through modular cooperative operation.

This invention provides a method for simulating and predicting urban bird species diversity based on convolutional neural networks, comprising: acquiring current environmental data of the city to be tested; predicting and generating a spatial distribution map of bird species diversity in the city based on the current environmental data using a target bird species diversity prediction model; wherein, during model training, discrete bird observation vector data is aggregated into a grid using spatial indexing and sliding window techniques, and unique bird species values ​​within the window are deduplicated to generate bird species diversity sample data for model training, and the spatial distribution characteristics of bird species are determined based on historical bird observation datasets; an initial convolutional neural network model is constructed and trained to obtain the target bird species diversity prediction model. This improves the accuracy and adaptability of bird species diversity prediction.

The invention relates to a biodiversity charting method and device, electronic equipment and a storage medium, and the method comprises the steps: obtaining remote sensing observation data, foundation observation data and species information data, constructing an ecological data cube, extracting statistical features, frequency features and phenological features according to the ecological data cube, and calculating the statistical features, the frequency features and the phenological features according to the statistical features, the frequency features and the phenological features; the method comprises the following steps: constructing a species diversity space map, a phylogenetic diversity map and a global genetic diversity map, fusing the maps to obtain a fusion result, identifying a high-diversity region and a low-protection region according to the fusion result, and evaluating the high-diversity region and the low-protection region to obtain an evaluation result. Therefore, the problems that related technologies depend on the number of samples and data precision, phylogenetic and genetic layer patterns are difficult to reveal, and global scale decision and management requirements are difficult to meet are solved, multi-source satellite remote sensing and foundation data can be fused, and the comprehensiveness and scientificity of diversity evaluation are improved.

The application discloses a kind of forest dynamic growth model construction method and system, belong to forestry digital twin technical field.The present application is by constructing real scene three-dimensional model and carrying out single fine modeling, the fine simulation and multidimensional prediction of forest growth process are realized;Forest simulation model and forest basic information are integrated using digital twin platform, extract stand structure parameters, establish arbor layer growth dynamic model, and then the dynamic simulation of shrub layer species diversity and natural regeneration density is carried out.The present application breaks through the single scale limit, integrates the coordinated evolution of arbor layer, shrub layer and natural regeneration layer for the first time, supports multidimensional prediction and visualization, and provides scientific support for forestry digital twin.

The invention discloses a coral reef area multi-source environment DNA collection and analysis method. The method comprises the following steps: 1) collecting environmental samples from different sources in a coral reef area, wherein the environmental samples comprise surface water, near-bottom water, a large water body, pore water, sediments and the like; the method comprises the following steps: adding internal reference DNA (danio rerio DNA) into an environmental sample, establishing a positive control sample containing the internal reference DNA (danio rerio DNA) and external reference DNA (oryzias latipes DNA), and extracting DNA in the environmental sample, the positive control sample and the negative control sample by using an improved environmental DNA extraction method; and 2) performing homogenization treatment on data generated by high-throughput sequencing of the DNA sample extracted in the step 1) to realize parallel comparison or combined analysis of different samples. Through parallel comparison and combined analysis of environment DNAs from different sources, species diversity and distribution conditions of coral reefs are reflected more comprehensively.

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.

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.

The present application relates to grassland species evaluation technical field, disclose a kind of grassland species diversity evaluation method and device based on vegetation radiation transmission model, the method comprises: construct the three-dimensional model of grassland quadrat with different species composition and different crown layer structure complexity;Simulate grassland plant leaf reflectivity spectrum curve and the reflectivity spectrum curve of soil background;According to grassland plant leaf reflectivity spectrum curve and the reflectivity spectrum curve of soil background, simulate grassland crown layer hyperspectral image;Calculate the crown layer spectral diversity index and crown layer structure character of grassland quadrat three-dimensional model;Using single or combined crown layer spectral diversity index and crown layer structure character constructs grassland species diversity evaluation model and evaluates grassland species diversity.The present application can effectively control the possible influence factor such as parameter based on crown layer spectral measurement evaluation grassland species diversity in field experiment, eliminate interference factor for grassland species evaluation, reach variable control, accurate evaluation effect.

The application discloses a degraded grassland ecological restoration method and system based on ecological water demand inside and outside rivers and lakes, and comprises the following steps: conducting field investigation, analyzing the main characteristics of the degraded grassland to divide the degradation grade area, wherein the main characteristics include but are not limited to vegetation coverage, species diversity index and soil bulk density; carrying out ecological unit grid division based on terrain self-adaption; constructing a multi-objective function and constraint condition of the degraded grassland ecological restoration based on the ecological water demand inside and outside rivers and lakes according to water resource allocation, grassland restoration, grazing management and economic benefits; on the basis of the ecological water demand inside and outside rivers and lakes and in combination with the specific grassland degradation grade of the degraded area, the multi-objective function and the constraint condition are used to carry out restoration priority ranking, dynamic adjustment strategy and water resource dynamic adjustment, so that an optimal degraded grassland ecological restoration scheme is obtained; the application is a comprehensive ecological restoration scheme combining water resource utilization, ecological water demand, grazing management and economic benefits, and is helpful to promoting sustainable restoration of the grassland.

This application discloses a simulation method, system, device, and storage medium for fish community survey sampling. The method includes: acquiring hydrodynamic environmental data and historical ecological baseline data of fish in a target sea area; determining the adaptive grid topology and fish species migration response coefficients of each monitoring unit in the target sea area based on the hydrodynamic environmental data and the historical ecological baseline data of fish; identifying the core area of ​​fish resource aggregation; constructing a multi-species coupled dynamic model of fish; generating a temporal series of the spatial distribution of community structure for each monitoring unit; fusing and constructing a multi-dimensional state temporal series of the ecosystem; generating a species diversity thermodynamic field temporal series based on the multi-dimensional state temporal series of the ecosystem and a preset uncertainty quantification algorithm, and outputting a sampling station layout scheme that prioritizes coverage of highly heterogeneous areas of the fish community. This invention improves the accuracy and efficiency of marine fish community surveys through dynamic simulation and uncertainty analysis, and can support efficient sampling station optimization.

The invention discloses a degraded grassland ecological restoration method and system based on ecological water demand inside and outside rivers and lakes, and the method comprises the steps: carrying out field investigation, analyzing main characteristics of a degraded grassland, and carrying out degradation grade region division, the main characteristics including but not limited to vegetation coverage, species diversity index and soil bulk density; grid division of ecological units is carried out based on terrain self-adaption; according to water resource allocation, grassland restoration, grazing management and economic benefits, constructing a degraded grassland ecological restoration multi-objective function and constraint conditions based on ecological water demands inside and outside rivers and lakes; on the basis of ecological water demand inside and outside rivers and lakes, in combination with a specific grassland degradation level of a degradation area, according to a multi-objective function and constraint conditions, carrying out restoration priority ranking, dynamic adjustment strategy and water resource dynamic adjustment to obtain an optimal degraded grassland ecological restoration scheme; the method is a comprehensive ecological restoration scheme combining water resource utilization, ecological water demand, grazing management and economic benefits, and sustainable restoration of the grassland is promoted.

The invention discloses a multi-source AL biodiversity observation method and acquisition system, and relates to the technical field of biodiversity observation, and the system comprises a data acquisition module, a preprocessing module, a species identification module, a data management module and a data display module; the data acquisition module comprises a fixed camera and an unmanned aerial vehicle camera, the fixed camera acquires images of species in a fixed area, and the unmanned aerial vehicle camera covers a large-range area to acquire the images; by combining the fixed camera and the unmanned aerial vehicle camera, data acquisition is not limited by time and space of manual inspection, safe species monitoring and biodiversity analysis are realized, and by combining modern deep learning and data processing technologies, the system can acquire species images, identify species and analyze density in a large area range, and the system has a wide application prospect. Through quantitative analysis of species diversity, an ecologist can rapidly know the ecosystem condition of a certain region and take protection measures in time.

The application discloses a primer combination for analyzing bird species information based on an environmental biological sample and a design method and application thereof, and relates to the technical field of bird species diversity analysis. By using the design method, the primer combination for analyzing bird species information based on an environmental biological sample can be designed, the specificity of the primer can be enhanced, and the amplification of non-target groups can be reduced on the basis of ensuring wide coverage of bird species, so that more efficient and more accurate amplification and data analysis can be realized in bird species identification and ecological monitoring. The primer combination has wide coverage, high resolution and strong specificity, and improves the reliability of bird species information analysis.

The invention discloses a river ecosystem function determination method, and relates to the technical field of demand analysis, the method comprises the steps of designing an integrated monitoring device comprising a camera, a water quality monitor, a data transmitter and other modules, the camera is used for shooting underwater images, the water quality monitor is used for monitoring water quality parameters in real time, and the data transmitter is used for transmitting data; the data transmitter is responsible for uploading the collected data to a local server in real time; by combining key indexes such as species diversity indexes, water quality parameters and ecological productivity, the data analysis system can comprehensively evaluate the health level of river ecology, by combining water quality and species data, the ecological health evaluation model can provide an accurate ecological evaluation value E, and whether protection measures need to be taken or not is judged according to a set threshold value; the quantitative evaluation method can effectively support ecological protection and management decisions, and avoid excessive intervention or missing of repair opportunities.

The present application relates to the technical field of biodiversity protection and ecological modeling, and particularly relates to a method and system for predicting hot spot distribution of large and medium-sized protected mammal diversity. According to the mammal diversity data obtained in the target area, spatio-temporal matching and standardization processing are performed to construct a comprehensive data set. By setting a variance inflation factor and through expert scoring method, core feature variables are selected from the comprehensive data set. Based on random forest and MaxEnt model as the basic prediction layer, the core feature variables are predicted, and the outputs of the random forest and MaxEnt model are respectively introduced into the meta learner model to obtain the initial distribution probability of each species. Habitat connectivity index and time series dynamic factor are constructed to generate a species diversity distribution matrix. A hot spot analysis algorithm is used to identify and output the hot spot area of each species. Through integration of multi-source data and dynamic correction mechanism, the accuracy and timeliness of the hot spot prediction are improved.

This invention discloses a systematic preparation method for a soil matrix specifically suitable for slope ecological restoration. The soil matrix mainly consists of a highly efficient soil microbial agent and a scientifically proportioned basic soil matrix. The method specifically includes four key steps: (1) targeted preparation and activity assurance of the soil microbial agent; (2) precise molecular identification of functional strains and verification of key functional genes; (3) determination of the optimal application and inoculation strategy of the soil microbial agent through rigorous comparative experiments; and (4) final large-scale preparation and homogenization treatment of the soil matrix. The soil matrix prepared by this invention can significantly reduce the dependence of agricultural production on chemical fertilizers, effectively overcome the limitations of non-nitrogen-fixing plants in slope restoration, and significantly improve vegetation species diversity and ecosystem stability during slope ecological restoration.

The invention discloses a species diversity evaluation method based on zone reference, which comprises the following steps of: constructing an evaluation index system: constructing the evaluation index system of zone species diversity by taking a zone apical community of an evaluation region as a reference system, the first-level indexes comprise a community composition dimension, a community structure dimension and a community functional dimension; index weights are determined, wherein weights of the first-level indexes and the second-level indexes are determined through an analytic hierarchy process; calculating an evaluation score: calculating to obtain a zonal species diversity evaluation score based on the evaluation index system and the weight; and generating a management strategy: according to the evaluation score, dividing the species diversity condition into a plurality of grades, and outputting an ecological management strategy for each grade. According to the method, the multi-dimensional evaluation index system is established, and the direct association of the evaluation result and the hierarchical management strategy is realized, so that the defects of the existing method in the aspects of regional adaptability, zonal feature combination, management guidance and the like are overcome.

The invention discloses a regional biodiversity protection priority index calculation method, and relates to the technical field of biodiversity protection. Comprising the following steps: S1, acquiring a regional species diversity data set; s2, according to the regional species diversity data set, determining the richness of species in different groups; s3, according to a layered equal-proportion division mode, calculating composition of class groups according to species diversity, and determining calculation weights of species in different class groups; s4, normalizing the richness of the species in different groups; and S5, calculating the regional species diversity protection priority index based on the steps S1 to S4 to realize regional biodiversity protection. According to the method, the richness of different groups of species is determined by analyzing multiple groups of species such as plants and birds in the regional scale, and normalization processing is carried out on the richness of different groups of species, so that the species diversity level of the regional scale is explained, and the regional biodiversity level is comprehensively reflected.

The invention discloses a river planktonic microbiological diffusion simulation device and method, and belongs to the technical field of environmental science and ecology experiment devices.The river planktonic microbiological diffusion simulation device comprises a bottom plate, a plurality of plaque units are arranged on the bottom plate at equal intervals, every two adjacent plaque units communicate with each other, filter membrane assemblies are arranged in the plaque units, and a top plate is fixedly connected to the top face of the bottom plate; the top plate is provided with a driving mechanism, the driving mechanism is in transmission connection with a plurality of stirring mechanisms, the stirring mechanisms are located below the top plate, the stirring mechanisms are located above the plaque unit, and a monitoring mechanism is arranged outside the plaque unit. Through gradient diffusion frequency control, natural source heterogeneous plaque construction and precise environmental parameter maintenance, quantitative simulation of the diffusion process of the river microorganisms indoors is realized, and the action mechanism of different diffusion intensities on formation and maintenance of species diversity can be effectively analyzed; and a key technical support is provided for research on ecological hydrology and microbial community dynamics.

The invention discloses a primer combination for analyzing bird species information based on an environmental biological sample and a design method and application thereof, and relates to the technical field of bird species diversity analysis. By utilizing the design method provided by the invention, the primer combination for analyzing bird species information based on the environmental biological sample can be designed, the specificity of the primer can be enhanced on the basis of ensuring wide coverage of bird species, amplification of non-target groups is reduced, and the sensitivity of the bird species is improved. Therefore, more efficient and more accurate amplification and data analysis can be realized in bird species identification and ecological monitoring. The primer combination disclosed by the invention is wide in coverage, high in resolution ratio and strong in specificity, and the reliability of bird species information analysis is improved.

The invention belongs to the technical field of natural ecosystem protection, and relates to a coastal bird habitat restoration and species diversity conservation method, which comprises the following steps of field investigation and operation division, habitat improvement and habitat restoration, facility supplementary construction and auxiliary brooding, wetland monitoring and food chain restoration. By implementing the technical scheme, the dilemma of habitat damage, poor livability, bird nesting difficulty, food source shortage and food chain breakage of the coastal degraded wetland can be effectively relieved, habitat improvement of the coastal wetland and rapid recovery of indigenous vegetation are achieved, and a habitat space which is rich in vegetation, sufficient in food source, stable in habitat and suitable for reproduction is provided for the wetland birds.

The invention relates to the technical field of ecological restoration, and discloses a shallow lake submerged plant community configuration method and device, and the method comprises the steps: building a submerged plant classification screening model; wherein the submerged plant grading and screening model comprises habitat condition grading, substrate condition grading and water quality grading; screening a plurality of types of submerged plants by using the submerged plant grading screening model, and determining the types of the screened submerged plants; obtaining character parameters of multiple types of submerged plants, and respectively calculating comprehensive tolerance indexes of the various types of submerged plants based on the character parameters of the multiple types of submerged plants; determining a species priority based on the comprehensive tolerance indexes of various types of submerged plants; and configuring the submerged plant community in the shallow lake based on the species, the species priority and the engineering parameters of the screened submerged plants. According to the method, ecosystem elasticity and species diversity are comprehensively considered, functional complementary configuration of species is ensured, and long-acting stability of submerged plant community configuration in water ecological restoration is ensured.

This invention discloses a dynamic assessment system for biodiversity resource response mechanisms, relating to the field of biodiversity technology. Through a biodiversity assessment value analysis module, the target enterprise's resource monitoring area is divided into sub-regions, and the system obtains species diversity fit values, genetic diversity fit values, ecosystem diversity fit values, and inter-organism interaction fit values ​​for each sub-region within a recent historical period. This multi-dimensional analysis method comprehensively and deeply reflects all aspects of biodiversity, avoiding the limitations of single-indicator assessments. The data collection method determination module determines the biodiversity level of each sub-region based on its resource assessment values ​​within a recent historical period, and then formulates the corresponding data collection method for each sub-region in the current period. This personalized data collection strategy can reasonably adjust the collection intensity and method according to the biodiversity status of different sub-regions.

The invention relates to the technical field of biological information analysis, and discloses an aquatic organism community analysis method and device based on environmental DNA, the method comprises the following steps: obtaining an annotation file corresponding to a to-be-analyzed sample, the to-be-analyzed sample comprising a water body sample collected from a target area; obtaining an environment DNA database of a pre-constructed target area; the environment DNA database comprises hierarchical information and gene information of different species and different functional character information corresponding to different species; on the basis of the annotation file and the environment DNA database, diversity analysis is conducted on the aquatic organisms in the target area, and diversity comprises species diversity, functional diversity and gene diversity. According to the method, the annotation file and the pre-constructed environment DNA database are combined, so that the diversity of aquatic organisms in the target area can be comprehensively, quickly and accurately evaluated, and not only is the diversity of the species level, but also the diversity of the functional traits and the gene level is covered.