13 results about "Species diversity" patented technology

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 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 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 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 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 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 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 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.