3039 results about "Organism" patented technology

The invention relates to the technical field of marine biological diversity assessment, and particularly discloses a marine biological diversity geographic information system and an ecological diversity risk assessment method.The marine biological diversity geographic information system comprises a water quality diversity risk assessment module, a diversity and water quality assessment comprehensive model module and an RDA analysis method screening module; according to the system and the method, marine organism data and water quality data of a sea area for many years are integrated, an interactive visual system is developed, data interconnection and intercommunication are realized, and the sea area can be evaluated through diversity investigation of multiple organisms in the sea area, water environment physical and chemical factor analysis, correlation mining and evaluation model construction. The model can assess the sea water environment condition, the water body environment quality and the biodiversity risk, provides basic data and methods for related research, powerfully promotes ocean monitoring to be converted from manual work to intelligence, promotes biodiversity data integration and ecological environment monitoring in a bay area, and tracks the biological activity and survival state.

The invention relates to the technical field of ecological restoration evaluation, in particular to a surface mine ecological restoration effect evaluation method and system.The surface mine ecological restoration effect evaluation method comprises the following steps that based on ecological restoration targets and standards, a decision tree algorithm is adopted, potential evaluation indexes are analyzed and screened, data in the aspects of biological diversity and soil quality are processed, and the evaluation result is obtained; and classifying the data to generate a refined evaluation index system. According to the method, through application of the decision tree algorithm, screening and classification of evaluation indexes are more scientific and systematic, comprehensiveness and pertinence of an evaluation system are ensured, the genetic algorithm and the simulated annealing algorithm are applied, the global optimization capability is introduced in the weight adjustment process, and the evaluation accuracy is improved. The accuracy of weight configuration and the adaptability of an evaluation system are remarkably improved, the long-term and short-term memory network model and the support vector machine are combined, the long-term dependency relationship in ecological restoration effect time sequence data is captured, and the accuracy of future trend prediction and the reliability of a classification result are improved.

The invention relates to a restoration method of a wetland ecosystem, and aims to improve the biodiversity of a wetland and restore and enhance the ecological function of the wetland through systematic measures. The method comprises the following steps: firstly, evaluating the current condition of the wetland, and identifying specific or endangered species and alien invasive species; secondly, by introducing or protecting specific animal and plant species, the natural habitat is recovered, and the biodiversity of the wetland is improved; thirdly, the water quality and soil conditions of the wetland are improved by adopting technologies such as hydrological regulation and control and vegetation restoration; fourthly, the connectivity of the interiors of the wetlands and surrounding habitats is enhanced, and species migration and gene exchange are promoted. By means of the measures, a damaged wetland ecosystem can be effectively restored, key functions such as water quality purification, flood regulation and carbon storage of the wetland ecosystem can be restored, meanwhile, endangered species are protected, and the ecological value and landscape aesthetics of the wetland are improved.

The invention provides bacillus and application thereof, the bacillus is preserved in Guangdong Microbial Culture Collection Center on June 6, 2025, and the preservation number is GDMCC No.66483; one application of the bacillus is to prepare a preparation for promoting growth and / or resisting diseases of plants, and the other application is to use the bacillus for inhibiting microorganisms; the bacillus can effectively and enduringly inhibit the growth of phytopathogen, and can be used as a broad-spectrum antibacterial biological antibacterial agent to enhance the resistance of plants and promote the growth of the plants.

The invention provides a lake ecological water level calculation method, device and system and a storage medium, and relates to the technical field of water resource regulation and control. The method comprises the following steps: obtaining the water turbidity of a target lake and the biomass of all submerged plants existing in the target lake; the water depth required by growth is calculated; dividing the target lake into habitat units; calculating the actual water depth of each habitat unit; calculating the plant coverage by using the water depth required for growth and the actual water depth; and obtaining an ecological water level range and an annual water level regulation and control range based on the plant coverage and taking the ranges as lake ecological water level results. By constructing the growth-illumination model and the underwater illumination prediction model of the submerged plants, the monthly water level accurate regulation and control based on biological requirements are realized, and by subdividing habitat units and analyzing ecological requirements, the growth conditions of the plants can be optimized, the water quality and biological diversity of a lake ecosystem can be improved, and the water quality and the biological diversity of the lake ecosystem can be improved. And the scientificity and systematicness of lake management are enhanced.

The invention provides a monitoring and early warning method and system for a natural protection area of wild animals. The method comprises the following steps: firstly, collecting a multi-modal ecological monitoring data stream containing animal activity track data, a habitat environment parameter sequence and a biological voiceprint signal set; then, dynamically matching the animal activity trajectory data with a reference threat mode to generate a first ecological association network feature; and extracting migration path fragments, combining with an environment parameter change gradient, and deducing second ecological association network features through the model. And then, performing cross-modal fusion on the two features to generate a multi-level threat coupling vector, constructing a map based on the biological voiceprint, performing overlay analysis on the map and the coupling vector, and calibrating and outputting a real-time threat level pedigree through an adaptive algorithm. And finally, according to the mapping relationship between the real-time threat level pedigree and a preset strategy library, activating a corresponding ecological protection intervention instruction set, realizing multi-modal data comprehensive analysis, accurate real-time monitoring and early warning and intelligent response, and effectively protecting the ecology of the natural reserve of wild animals.

The invention discloses an euphausia superba fishery change prediction method based on an ocean circulation-sea ice-species distribution coupling model, and relates to the technical field of ocean science. Euphausia superba fishery historical observation data, satellite remote sensing data and reanalysis data are collected, euphausia superba resources and environmental data are integrated, and the euphausia superba fishery change prediction method based on the ocean circulation-sea ice-species distribution coupling model is obtained. Constructing a polar region resource environment database covering total elements of physics-biology-environment; and based on an FVCOM model, constructing an ocean circulation-sea ice coupling model of a surrounding sea area of the peninsula of the south pole, and simulating and verifying physical environment characteristics of a target sea area. By constructing the ocean circulation-sea ice-species distribution coupling model, integrating multi-source data and analyzing a cooperative driving mechanism of a multi-scale physical process to euphausia superba resource change, compared with a traditional method, the change of an euphausia superba fishery can be simulated and predicted more accurately, and the method has the advantages of being high in practicability and the like. And the problem of inaccurate prediction caused by limited space-time coverage rate of observation data is effectively solved.

The present disclosure provides proteins useful for preventing, treating, inhibiting and / or eliminating infestation and infection of plants caused by various phytopathogenic pests, as well as formulations comprising such proteins, polynucleotides encoding such proteins, organisms expressing such proteins, and methods for preparing such proteins. And methods of using such proteins, formulations, polynucleotides, and organisms in agricultural and other effort areas.

The invention relates to the field of microbial communities, and discloses a bioinformatics-based microbial community dynamic monitoring method, which comprises the following steps: acquiring high-frequency acquisition data based on a trace sample, constructing a microbial data stream for time sequence analysis, and carrying out rapid metagenome marker amplification on each sampling unit in the data stream, obtaining a preliminary feature matrix; based on the co-occurrence frequency of the microbial functional genes in the preliminary feature matrix, constructing a multi-dimensional feature mapping graph; performing real-time mode recognition on the flora abundance change trend based on the dynamic fluctuation region; aiming at the key dynamic signal segment, adopting a distributed clustering method based on variation information entropy regulation and control to reconstruct the evolution trajectory of the flora, and generating a flora time sequence behavior vector set; and based on the flora time sequence behavior vector set, performing dynamic alignment with a pre-constructed reference model by using a multi-scale trend matching algorithm. The method has the advantages of high timeliness and automatic processing capability.

The invention relates to serratia marcescens XJ108 and application thereof, and belongs to the technical field of microorganisms. The serratia marcescens XJ108 is preserved in the China General Microbiological Culture Collection Center (CGMCC), the preservation number is CGMCC No.29557, the preservation date is January 10, 2024, and the address of the preservation institution is No.3, Yard 1, Beichen West Road, Chaoyang District, Beijing. The invention also provides application of the serratia marcescens XJ108 in acid environment, alkaline environment, high salinity environment and high chemical fertilizer environment soil tolerance and plant growth promotion. The serratia marcescens XJ108 provided by the invention has certain biological safety; meanwhile, the plant growth promoting function is achieved; and various extreme soil environments can be tolerated.

The invention discloses a target detection method suitable for small creatures in an underwater complex scene, and aims to solve the problems that small target features in underwater image detection are fuzzy, small targets are difficult to accurately position and identify by the existing detection algorithm, and efficient detection is difficult to realize on equipment with limited computing resources. According to the method, on the basis of a YOLOv8 network and a backbone network, a P2 feature layer is adopted to enhance the expression ability of a small target, an ADwn lightweight down-sampling module is introduced, efficient feature down-sampling is achieved, a neck network constructs an SOEP small target feature enhancement pyramid module, feature recombination is conducted on P2 through SPDConv, efficient feature integration is conducted through CSP-OmniKernel, and therefore the expression ability of the small target features is improved; and feature fusion is carried out through bidirectional cross-scale connection, so that multi-scale information interaction is enhanced, and the detection capability of small targets is improved. The target detection network is more suitable for small biological target detection in an underwater complex environment, and provides powerful technical support for underwater ecological monitoring, marine organism research and other applications.

The invention provides an artificial intelligence land biodiversity real-time on-line monitoring evaluation-risk early warning-risk elimination method and system, and the method comprises the steps: collecting and monitoring biological information, geographic and phenological information, environment quality information and other information, carrying out the data comparison and analysis, carrying out the data evaluation and influence factor analysis, and carrying out the risk diagnosis and early warning. A risk elimination method; the system sequentially comprises a data acquisition and monitoring module, a data analysis and diversity evaluation module, a risk diagnosis and early warning module, a risk elimination module and the like. Scientific basis and technical support are provided for land biodiversity protection, management and decision making, and the land biodiversity protection strength is enhanced.

The invention relates to the technical field of plant growth-promoting bacterium screening, in particular to a thunberg fritillary bulb growth-promoting bacterium colony screening method and system based on image recognition. The screening method comprises the following steps: establishing a three-dimensional gradient dilution system of a thunberg fritillary bulb rhizosphere soil sample, and collecting a bacterial colony original image under a specific wavelength combination by adopting a multispectral imaging device. According to the method, by establishing a multispectral collaborative imaging mechanism and a dynamic growth modeling system, the technical problems of feature dimension deficiency and space-time correlation fracture in a traditional method are effectively solved. An improved wavelet transform algorithm is adopted to break through the optical interference limitation of an agar matrix, and high-fidelity extraction of bacterial colony intrinsic textures is realized; according to the constructed three-dimensional feature space fusion model, morphological topological parameters, texture entropy distribution and growth differential features are deeply coupled through nonlinear mapping, and the biological correlation of feature representation is remarkably improved.

The invention discloses a marine fishery resource survey station adaptive optimization method based on a space-time coupling model. According to the method, a space-time continuous species distribution dynamic reference field is constructed by coupling a Bayesian hierarchical species distribution model and a regional ocean model system; performing ecological layering based on time, space and environment dimensions; and when the environment variables change significantly, a habitat suitability index is dynamically reconstructed, and the station layout is optimized again, so that the coverage of a key ecological hot spot area is ensured, and the in-gradient representativeness is maintained. The method has the advantages of fast environmental response, strong spatial representativeness, high adaptability and the like, and is suitable for scenes of resource assessment, ecological protection, biodiversity monitoring and the like.

The invention discloses an aquatic organism diversity rapid evaluation system and method based on GIS and eDNA technologies, and the method comprises the steps: selecting a plurality of sampling points in a target region to collect water samples, and integrating and processing the geographic information data of the sampling points and surrounding regions by adopting a GIS system; extracting eDNA from the collected water sample, performing amplification and sequencing on the eDNA by adopting a high-throughput sequencing technology, obtaining species and relative abundance of the species existing at the sampling point, and forming a species list; importing species distribution information corresponding to the species list into a GIS system, and obtaining a species distribution area and species types; according to the method, a species distribution prediction model is established, aquatic organism diversity change trends of the hot spot area and the potential ecological threat area are monitored in real time, an evaluation report and protection suggestions are formed, and protection measures are updated in time, so that the data acquisition and processing efficiency is improved, and the accuracy of species identification and the comprehensiveness of diversity evaluation are enhanced; and a real-time monitoring and early warning mechanism is provided.

To have a high nature imitation effect of reference point micro inhabitation environment, hold water ecological space heterogeneity of a target water body at the maximum without changing a microorganism / organic feature in a natural water ecological system in the whole construction process, and realize a natural water ecological environmental status.SOLUTION: A selection and construction method of a reference point in interfered submergence type river water ecology includes steps of: dividing a basin basic space unit S1; analyzing an influence on an ecological environment stress of human activity in the basin basic space unit and extracting a water ecological feature S2; selecting a reference candidate point S3; evaluating an aquatic organism status of the reference candidate point S4; constructing a nature imitation reference point S5; and evaluating the aquatic organism status of the nature imitation reference point S6.SELECTED DRAWING: Figure 1

The invention discloses a reservoir ecological scheduling method integrating fish spawning and foraging demands, and the method comprises the steps: determining a scheduling target river reach based on the fish inhabiting and breeding habitat feature information and spawning site distribution information of a to-be-researched reservoir region; constructing a hydrodynamic model according to the dispatching target river reach; acquiring first hydrological demand information for scheduling the target fishes to lay eggs in the breeding season and second hydrological demand information for scheduling the target fishes to find food in the non-breeding season; on the basis of a hydrodynamic model, the first hydrological demand information and the second hydrological demand information, determining the ecological flow discharged by the reservoir; determining reservoir water level regulation and control information based on the water level change demand information for scheduling the target fishes to spawn in the breeding season and foraging in the non-breeding season; and performing reservoir ecological scheduling according to the reservoir discharged ecological flow and the reservoir water level regulation and control information. According to the technical scheme, the adverse effect of reservoir dispatching operation on fish oviposition and foraging can be relieved, and fish resource recovery and biodiversity protection are facilitated.

The invention provides an intelligent breeding factory big data decision optimization system and method. The system comprises a database, a model library, a data acquisition module, a biomass prediction module, an intelligent decision module and an execution module. The specific optimization method comprises the following steps: firstly, obtaining a corresponding predicted biomass I and a predicted biomass II based on collected breeding parameters and biological images, and fusing to obtain a final predicted biomass; corresponding target breeding parameters are obtained according to the final predicted biomass, the target breeding parameters are compared with breeding parameters collected in real time, and when the difference value of one or more breeding parameters of the same type exceeds a preset threshold value, corresponding decision optimization information is generated based on the breeding parameter in the target breeding parameters; and finally, adjusting the breeding environment and feeding work according to the decision optimization information. According to the invention, the matched aquaculture data is obtained by predicting the biomass of the current fish in real time, and the corresponding decision optimization information is generated, so that the intelligent level of the current aquaculture is improved.

The invention relates to the technical field of remote sensing imaging, in particular to a marine organism monitoring method and system based on a remote sensing technology, and the method comprises the following steps: constructing an environment layer based on a remote sensing image and sensing data, analyzing the relation between a spectrum and an environment, monitoring changes, recognizing the spatial distribution of species, extracting a migration path, and superposing environment factors to analyze ecological response. And outputting a remote sensing indication species ecological response interaction layer. According to the method, the remote sensing image and environmental data are sorted and denoised, multi-dimensional factors are effectively integrated, data precision is enhanced, noise interference is eliminated, spectral change and water temperature gradient deviation are combined, abnormal pixels are accurately screened, sea area change trend is insight in advance, key wave bands and hot salt structures are extracted, target organisms are accurately positioned, and identification efficiency is improved. Analyzing a space offset track, restoring a migration path, constructing a dynamic evolution view angle, superposing water temperature and algae changes, analyzing time sequence synchronization characteristics, revealing ecological response turning points, and strengthening early warning and dynamic monitoring capabilities.

The invention relates to the technical field of target detection, in particular to an aquatic organism multi-target detection method and system based on YOLO. The method comprises the following steps: carrying out aquatic organism image acquisition on a target water area to obtain an aquatic organism image; performing resolution enhancement on the aquatic organism image to obtain an enhanced aquatic organism image; performing multi-branch hierarchical feature extraction on the enhanced aquatic organism image to obtain a residual enhanced biological feature image set; performing cross-scale feature fusion on the residual enhanced biological feature image set to obtain a fused aquatic organism feature image; performing historical detection data acquisition on the target water area to obtain an aquatic organism historical detection data set; and performing anchor frame generation on the fused aquatic organism feature map based on an aquatic organism historical detection data set to obtain an initial anchor frame set. The defects in aquatic organism monitoring and recognition in the prior art are effectively overcome, and the accuracy, efficiency and practicability of detection are improved.

The invention relates to the technical field of marine organism protection, in particular to a marine organism diversity protection method based on an ecological dynamic model, which comprises the following steps: collecting biological and non-biological data in a marine ecosystem, extracting DNA from a seawater sample by utilizing an environmental DNA technology, and constructing the ecological dynamic model based on the collected ecological data and eDNA analysis result. According to the method, the ecological dynamics model is established, the collected data is stored and verified through the block chain technology, and a marine biological diversity protection scheme is designed and implemented according to the ecological dynamics model prediction result and the block chain verification data. Scientific support is provided for protection decision making, protection measures and management regulations are automatically executed through the intelligent contract technology, the system is allowed to respond immediately when it is detected that key environment variables or biological indexes change, and the flexibility and timeliness of responding to environment changes are greatly improved.

The present invention, among other things, provides technologies for detecting and / or quantifying nucleic acids in cells, tissues, organs or organisms. In some embodiments, through sequential barcoding, the present invention provides methods for high-throughput profiling of a large number of targets, such as transcripts and / or DNA loci.

The invention belongs to the technical field of fishery resource management, and discloses a fishery resource collaborative proliferation method based on a large water surface environment. The method comprises the steps of collecting water area feature data; the water area characteristic data comprises water quality data, substrate data, sound wave data and a water area image; aquatic organism monitoring is carried out according to the sound wave data, and aquatic organism data are obtained; combining the water quality data, the substrate data and the aquatic organism data to formulate a proliferation recovery strategy; performing fish resource evaluation according to the water area image to obtain fish school resource data; in combination with the water quality data, the substrate data, the aquatic organism data and the fish school resource data, preferentially selecting proliferation objects; based on the multiplication object, the multiplication release capacity is determined; according to the method, the accuracy and the intelligent level of fishery resource management are improved, strategies can be dynamically adjusted to cope with environmental changes, the population relationship in an ecological system is balanced, and the sustainable development capability of fishery resources is effectively improved.

The invention relates to the technical field of environment-friendly biological rare earth recovery, in particular to a Pristia megaterium MeR-2 and a method for leaching rare earth elements in waste by using the Pristia megaterium MeR-2. Specifically, the invention provides a method for leaching rare earth elements in waste by using microorganisms and metabolites thereof, and solves the problems of large dosage of chemical reagents, high production cost, serious environmental pollution and the like in the chemical leaching process of rare earth waste. The strain provided by the invention is low in culture cost, high in growth speed and simple in leaching condition, has the capability of leaching rare earth ions in various wastes, and has a relatively good application prospect in the aspects of rare earth waste microorganism recovery and reutilization and the like.

The invention relates to a marine ranching digital construction method and system based on artificial intelligence, and the method comprises the steps: monitoring plankton in a marine ranching in real time, obtaining a water body image through an image recognition technology, and building a dynamic database, so as to regularly store and update the related data of the plankton. Based on monitoring data, a water quality evaluation model is established, and the correlation among plankton species, density and water quality parameters is analyzed. Factors such as water flow velocity and flow direction are integrated, a flow change model is established, and the influence of water flow on plankton is judged. A primary culture optimization scheme is formulated by simulating the interaction between cultured organisms and planktons, and the culture trend is predicted in real time and the management strategy is adjusted by integrating the water quality evaluation and the output result of the flow change model. According to the scheme, the intelligent management level of the marine ranching is effectively improved, dynamic and scientific management of the culture environment is achieved, powerful support is provided for healthy growth of cultured organisms, and sustainable development of the marine ranching is promoted.

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 provides a biodiversity influence comprehensive evaluation method and system based on multi-source ecological factors, and relates to the technical field of biodiversity analysis, and the method comprises the steps: obtaining multi-source ecological factor data of a geological disaster control influence region, and carrying out the maximum likelihood estimation and kernel function learning processing of the multi-source ecological factor data to obtain a space-time intensity field; performing adaptive time-frequency decomposition processing based on the time-space intensity field and the time sequence of the community functional traits to obtain a multi-scale modal set; performing low-rank dynamic recognition processing on the multi-scale modal set to obtain an approximate operator and control gain pair; performing sparse regression modeling processing to obtain a nonlinear state equation set; and carrying out distribution displacement measurement processing based on the nonlinear state equation set and preset quadrat baseline distribution to obtain a comprehensive evaluation result of the biodiversity influence. According to the method, the problems of single index, rough modeling and lack of multi-scene prediction capability in the prior art are solved.

The invention discloses an SNP (Single Nucleotide Polymorphism) molecular marker combination for constructing an oat DNA (Deoxyribose Nucleic Acid) fingerprint spectrum and application, the SNP molecular marker combination is developed and obtained based on an SLAFseq technology, and has the characteristics of uniformly covering an oat genome, being high in polymorphic information content and being suitable for typing. Compared with other traditional molecular marker technologies, the SNP marker provided by the invention has higher stability, is not easily influenced by experimental conditions and environmental factors, and can be widely applied to oat germplasm resource identification, genetic diversity analysis, DNA fingerprint construction and molecular marker-assisted breeding. The DNA fingerprint spectrum constructed on the basis of the SNP molecular marker can more comprehensively reflect genetic information of a biological individual or population, and is of great significance to research of genetic diversity, evolutionary relationship and the like of species. Therefore, the method can provide technical reference for popularization of oat varieties, property right confirmation and protection, purity identification of oat seed production and the like.

The invention discloses a marine ranching raising site selection method and system, applied to the field of data processing, and the method comprises the steps: obtaining seabed environment parameters of each target sea area; based on the time sequence change information of the submarine environment parameters, at least obtaining a temperature field distribution result and a biological field distribution result; determining full life cycle information of a to-be-bred object, and determining a corresponding growth demand parameter set; performing space-time matching analysis on the temperature field distribution result, the biological field distribution result and the growth demand parameter set, and calculating a comprehensive raising index corresponding to each target sea area; and obtaining a site selection decision result of each target sea area at least based on the shipping channel information, the ecological protection information and the corresponding comprehensive raising index of each target sea area. According to the marine ranching raising site selection method provided by the invention, scientific and effective marine ranching raising site selection can be realized by comprehensively considering seabed time sequence sensing data, biological image analysis and full life cycle requirements of cultured objects and combining a multi-objective optimization algorithm.