39 results about "Species diversity" patented technology

The invention provides an ecological restoration and rapid vegetation planting method suitable for an open grassland mining area, and provides a novel grass seed assembly structure, and according to regional climate characteristics and geographical general situations, in combination with actual planting conditions of a vegetation restoration area, and according to planting principles of local nature, species diversity, ecological complementation and the like. Based on the main biological ecology characteristics of different plant species and the collaborative succession and growth promotion co-fusion development characteristics of the suitable growth environment, multi-system, multi-dimension and multi-species technical assembly is carried out according to local conditions, and a cost-saving, efficient, function-harmonious and landscaping rapid vegetation recovery technical method is created.

The invention provides a wetland ecological protection area biodiversity evaluation system, and relates to the technical field of ecological system diversity evaluation. The evaluation system comprises a data acquisition and management module, a species diversity analysis module, an ecological system function evaluation module, a threat factor identification and analysis module, a decision support and suggestion module and a data visualization and report module. According to the invention, the system is a platform integrating data collection, analysis, assessment and decision support, aims to comprehensively assess the biological diversity condition in the wetland ecological system and provide a scientific basis for sustainable management and protection of the wetland, not only can realize scientific and systematic management of wetland ecological protection, but also can provide a scientific basis for the sustainable management and protection of the wetland. The sustainable development of biological diversity protection can be promoted, the relationship between the biological diversity and ecological processes such as material circulation and energy flow in the wetland ecological system can be better understood through the evaluation system, and the ecological process of the wetland ecological system can be deeply understood.

The invention discloses a forest dynamic growth model construction method and system, and belongs to the technical field of forestry digital twinning. According to the invention, through constructing the live-action three-dimensional model and carrying out refined modeling on the single plant, refined simulation and multi-dimensional prediction of the forest growth process are realized; a digital twinborn platform is utilized to integrate a forest simulation model and basic forest information, forest stand structure parameters are extracted, an arbor layer growth dynamic model is established, and then the species diversity and natural update density of a shrub layer are dynamically simulated. According to the method, the limitation of single plant scale is broken through, co-evolution of the arbor layer, the shrub layer and the natural updating layer is integrated for the first time, multi-dimensional prediction and visualization are supported, and scientific support is provided for forestry digital twinning.

The invention discloses a dynamic evaluation system for a biodiversity resource response mechanism, and relates to the technical field of biological resources. A target enterprise resource monitoring region is divided into sub-regions through a biological resource evaluation value analysis module; and obtaining a species diversity adaptation value, a genetic diversity adaptation value, an ecosystem diversity adaptation value and an inter-organism mutual adaptation value of each sub-region adjacent to the historical cycle. The multi-dimensional analysis mode can comprehensively and deeply reflect various aspects of biodiversity, limitation of single index evaluation is avoided, the set mode determination module determines the biodiversity level of the sub-region according to the resource evaluation value of each sub-region adjacent to the historical period, and then the collection mode corresponding to each sub-region in the current period is formulated. According to the personalized acquisition strategy, the acquisition intensity and method can be reasonably adjusted according to the biodiversity conditions of different sub-regions.

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 provides a river ecological corridor boundary determination method and device and a storage medium, and the method comprises the steps: obtaining the types, densities and biomass of inland organisms and water organisms which often inhabit in a river management range in a research region, and determining the respective key indicator species of the inland organisms and the water organisms in the research region; determining requirements of key indicator species; obtaining a relation curve of river gallery boundary-key indicator species diversity; constructing a region-typical river reach two-dimensional habitat model, and obtaining spatial distribution and migration path information of each key indication species in a river ecosystem; preliminarily determining a boundary threshold value of the ecological corridor of the river; determining a water area corridor boundary of the river ecological corridor; determining a land area corridor boundary of the river ecological corridor; and determining a river ecological corridor boundary based on the water area corridor boundary and the land area corridor boundary of the river ecological corridor. By adopting the determination method provided by the invention, the river ecological corridor boundary can be determined more reasonably and quickly.

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 power transmission and transformation project planning method and system based on plant diversity, and the method comprises the steps: obtaining the information data of each species of each region corresponding to a target power transmission and transformation project at each construction time node, and calculating the diversity evaluation index of each species of each region at each construction time node; calculating a corresponding time-varying factor according to the change rate of each species diversity evaluation index in the time dimension to obtain a species diversity influence index of the target power transmission and transformation project on each region; and obtaining a construction planning scheme of each region based on the species diversity influence index of each region and the correlation degree between the corresponding power transmission and transformation construction data, and executing the construction planning scheme. According to the power transmission and transformation project planning method and system based on the plant diversity, the power transmission and transformation project is reasonably and accurately planned according to the change of the plant diversity, and the planning effect of the power transmission and transformation project is improved.

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 discloses an ecological restoration monitoring method for a soil environment, and relates to the technical field of ecological restoration monitoring, and the method comprises the steps: collecting the growth state data of a target plant in an ecological restoration region, constructing a growth value, carrying out the soil data collection in the ecological restoration region if the growth value is lower than a growth threshold value, and carrying out the feature extraction, a corresponding fertility optimization and adjustment scheme is given in the ecological restoration area, and a targeted pest control scheme is adopted when a target plant has pest damage; and collecting ecological restoration parameters and vegetation coverage rate data in an ecological restoration period, screening out key factors from the ecological restoration parameters through correlation analysis, and adjusting the key factors by using an optimization algorithm to obtain an optimized ecological environment monitoring strategy. The influence of insect pests on ecological restoration is reduced, the growth state of target plants is improved, and the vegetation coverage rate and the species diversity are rapidly increased.

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 present invention discloses a dynamic monitoring method for the spatial distribution of urban biodiversity, which relates to the technical field of biodiversity distribution surveys. The method includes using multi-source data to extract the boundary of the urban built-up area; and generating a spatial distribution map of urban biodiversity by using public big data and extrapolation method. By adopting the open big data of biological distribution records on the network platform and combining with the extrapolation method to generate a biodiversity map of urban areas with fine resolution, the present invention develops a general analysis framework, which can reduce the labor and time costs in the acquisition stage of basic data on urban biodiversity. On the other hand, by comparing remote sensing image data, it is possible to obtain data on animals and plants under the canopy cover, which is convenient for evaluating the species diversity under the canopy, and can capture complex information on species composition, which is beneficial to improving the adaptability to the complex artificial environment and highly fragmented habitat patches in urban areas.

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.