92 results about "Habitat suitability" patented technology

The invention belongs to the technical field of fishery resource informatization management and ecological prediction, and particularly relates to a dynamic prediction method of a resource habitat dynamic prediction system based on multi-source heterogeneous data fusion, and the method comprises the steps: a multi-source heterogeneous data collaborative collection and standardization processing module synchronously collects cross-regional data, and generates a time-space aligned standardized data set; the multi-modal habitat adaptability evaluation and prediction model is used for receiving the standardized data set as input, constructing environmental, biological and social modalities based on multi-source fusion data, and generating a habitat adaptability prediction result; the three-dimensional dynamic visualization and decision support platform is used for receiving the habitat suitability prediction result and generating a habitat thermodynamic diagram, a resource abundance gradient and an environmental parameter dynamic visualization display and decision under multiple spatial and temporal scales; according to the method, an international data collaboration mechanism, an ecological niche model optimization algorithm and a lightweight visualization engine are subjected to system-level integration, and an engineering solution is provided for biological resource protection of a sea area.

The invention relates to the technical field of fish habitat treatment, in particular to a river fish habitat restoration method based on stair dam dismantling, which comprises the following steps: acquiring stair dam parameters, hydrological data and fish habitat demand data of a target river; constructing a habitat suitability curve, a habitat suitability index and an effective habitat area model of the fish habitat before dam dismantling; designing a plurality of groups of stair dam dismantling schemes, and simulating hydrological condition changes after dam dismantling in combination with a hydrodynamic model; according to the method, habitat suitability curves, a weighted available area method and river connectivity indexes under different dam dismantling schemes are calculated, a multi-objective optimization model is established to screen an optimal scheme, ecological benefits and engineering cost are comprehensively considered, the optimal dam dismantling scheme can be scientifically selected, a dam body with the maximum contribution to improvement of the ecological benefits is preferentially dismantled, and the dam dismantling efficiency is improved. And meanwhile, part of the dam foundation is reserved to reduce the influence of sediment discharge on the downstream, so that the engineering cost is reduced to the maximum extent while the ecological restoration target is achieved.

The invention relates to the technical field of mountainous river fish habitat habitat restoration, and relates to a mountainous river fish habitat restoration method based on numerical simulation optimization, comprising: acquiring habitat data of a mountainous river fish habitat, and performing preliminary ecological restoration measures on the mountainous river fish habitat; constructing a numerical simulation model to predict the erosion and deposition evolution result of the fish habitat in the mountain river after the preliminary ecological restoration in a set period, and identifying an area of which the erosion and deposition evolution degree meets a preset threshold value in the set period; and carrying out riverbed substrate transformation on the identified area based on the target fish, evaluating the habitat improvement effect under the combined action of the preliminary ecological restoration measure and the riverbed substrate transformation through a habitat suitability model, and completing the restoration of the fish habitat in the mountain river based on the evaluation result. According to the method, dredging, spur dike and substrate transformation are combined, and numerical simulation optimization is combined, so that the effectiveness, continuity and scientificity of restoration of the fish habitat in the mountain river are 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 a waterfowl habitat ecological data analysis method and system, a medium and electronic equipment. The waterfowl habitat ecological data analysis method comprises the steps that S1, ecological data of a waterfowl habitat is acquired and preprocessed; s2, constructing a waterfowl habitat ecological model based on the preprocessed data; s3, judging whether the ecological condition of the habitat meets a preset suitability standard or not according to an output result of the ecological model; the system comprises a multi-source data acquisition module based on a system architecture, an intelligent preprocessing module, an ecological model construction module, a habitat suitability evaluation module and a visualization and report module. Compared with the prior art, the method has the advantages of comprehensiveness (2) accuracy; and practicability.

A method for delineating an ecological corridor based on a maximum similarity model determines ecosystem type according to the determined ecological source, and assigns a habitat suitability index; and according to a maximum similarity matrix between different ecosystems, assigns the habitat suitability index to peripheral pixels of the selected ecological source, to obtain a similar value of the habitat suitability index. The habitat suitability index is corrected according to the surface curvature data and population density data, and resistance surface data is calculated according to the corrected value. Based on the resistance surface data, an ecological corridor is delineated comprehensively to find one or more paths corresponding to a minimum cost distance as ecological corridors. The influence of ecological environment on ecological corridor establishment is considered more comprehensively, so that the ecological corridor is delineated more accurately, and applied into practice to maximum extent.

The invention belongs to but is not limited to the technical field of ecological environmental protection, and discloses a river fish habitat connectivity assessment method, which comprises the following steps: collecting historical site data of target river fish and bioclimatic data influencing river fish distribution to establish a variable set; the method comprises the following steps: screening variables without collinearity by utilizing VIF, constructing a species distribution model of fishes in a target river by utilizing a machine learning algorithm, and screening environmental factors with relatively high contribution degree of the model; according to a machine learning sub-model selected by AUC and TSS, establishing a set model and simulating HS of target river fish habitat suitability distribution; dam information of the target evaluation drainage basin is collected, and a tree connectivity index (DCI) is calculated; stacking the HS and the DCI, calculating a habitat connectivity index (FRCI) of the fish in the target river, and evaluating the habitat connectivity. According to the method, the habitat suitability, the structure connectivity and the function connectivity are considered, the credibility and the preciseness of evaluation of the habitat connectivity are improved, and a scientific basis and a practical tool are provided for protection and management of a river ecosystem.

The invention discloses a fish potential spawning site identification and positioning method based on habitat similarity and spatial autocorrelation, and belongs to the technical field of river ecological protection and habitat evaluation. The method comprises the following steps: step 1, obtaining state values of hydrodynamic force, water quality and substrate indexes of a typical target fish spawning site and target fish distribution information; 2, determining egg laying habitat requirements of target fishes; 3, performing comprehensive habitat suitability evaluation on the typical target fish spawning site; 4, constructing a target fish potential spawning site identification model combining habitat similarity and spatial autocorrelation; and 5, evaluating and verifying the feasibility and accuracy of the method. According to the method, habitat similarity and spatial autocorrelation are combined, a potential spawning site of target fishes in a drainage basin is identified and positioned, and feasibility and accuracy of the method are verified by combining habitat suitability evaluation and spatial position coincidence.

The invention relates to the technical field of coral habitat suitability evaluation, and discloses a method and system for evaluating the influence of an island wave-resistant building on coral habitat suitability, and the method comprises the steps: obtaining a hydrodynamic parameter of a target region under the influence of the wave-resistant building; constructing a judgment matrix of the suitability of the hydrodynamic factors to the coral habitat based on an analytic hierarchy process, and calculating the initial weight of each hydrodynamic factor; dynamically correcting the initial weight according to a coral tolerance threshold to obtain a corrected dynamic weight; based on the dynamic weight and the hydrodynamic parameter, calculating a habitat suitability index of time-space accumulation; calculating a weighted habitat area dynamic value according to a habitat suitability index accumulated in a space-time manner; and based on the difference between the weighted habitat area dynamic value and the non-wave-resistant building reference value, determining the influence level of the wave-resistant building on the coral habitat suitability. According to the scheme, scientific quantification of the influence of the wave-resistant building on the coral habitat can be realized, and an accurate collaborative decision basis is provided for engineering optimization and ecological protection.

The invention relates to a regional climate shelter identification method based on climate change and a species distribution model. The method comprises the following steps: S1, species distribution modeling; step S2, biological velocity calculation; s3, calculating the richness of the species; s4, calculating the habitat quality; step S5, climate stability calculation; step S6, calculating a connectivity index and a reachability index; the method has the advantages that dimensions of three information including space, time and ecology can be effectively captured, species richness, habitat quality, climate stability and biological speed are integrated, the defect that a climate speed index neglects species specific diffusion rate and habitat suitability in shelter recognition is made up, and the method has the advantages of being high in adaptability and high in reliability. And the method is limited by a climate matching threshold value, so that the climate refuge can be identified more accurately.

The invention discloses a coastal zone planning method and system based on MaXent and hotspot analysis, and relates to the technical field of coastal zone planning. Comprising the following steps: S1, collecting environment variable data, species distribution data and development intensity data, constructing a unified space-time grid system, and realizing time sequence expression of the data through data preprocessing; s2, constructing a quarterly time sequence maximum entropy model, and performing time sequence evaluation on each grid habitat state to form a habitat evolution type; s3, identifying time sequence significant hot spots and hot spot persistence and intensity features, constructing ecological development relationship comprehensive representation, and identifying ecological development conflict types; and S4, spatially superposing the habitat evolution type and the ecological development conflict type to form a self-adaptive access rule, and generating differentiated planning suggestions according to regions. The problem that planning lacks dynamic adaptability due to the fact that coastal zone habitat suitability and development intensity depend on static time point data for a long time and a time sequence evolution rule cannot be recognized is solved.

The invention provides a wild animal buffer zone delimiting method and system for a habitat, and relates to the technical field of ecological environment division, and the method comprises the steps: obtaining habitat information data; processing the habitat information data based on a quantum hybrid optimization algorithm and a preset multi-fractal coupling model, and generating a habitat suitability distribution mode; performing multi-scale landscape connectivity analysis according to the suitability distribution mode to obtain a connectivity topological graph of the habitat space; performing membrane calculation ecological network model construction and coupling on the connectivity topological graph to obtain an initial wildlife buffer zone delimiting scheme; generating an optimized buffer band delimiting scheme through a random programming and preset robust optimization hybrid strategy; and q-order fuzzy measure and Choquet integral are adopted to carry out collaborative evaluation, and a wild animal buffer zone intelligent delimiting scheme is obtained. According to the method, the complex trade-off relationship among multiple targets is objectively quantified, and the optimal balance of the scheme in all aspects is ensured.

The invention relates to the technical field of marine ecological informatics, and discloses a habitat suitability prediction method and system for marine ecological management.The habitat suitability prediction method for marine ecological management.The habitat suitability prediction method for marine ecological management.The habitat suitability prediction method for marine ecological managementincludes the steps that traditional knowledge data of fishermen is obtained, and audio data is transcribed into a text format through a natural language processing technology; generating a traditional knowledge graph containing the corresponding relationship between the observation characteristics and the fishing results; carrying out canonical correlation analysis on surface observation characteristics and vortex physical parameters in the traditional knowledge graph, and converting traditional knowledge into quantitative expression of a vortex parameter space based on a mapping matrix; and adopting a random forest to integrate multi-source prediction results, taking a traditional knowledge prediction rule and a physical model calculation result as input features, and outputting a middle-layer fish habitat probability distribution diagram. The technical problem that traditional knowledge and a vortex physical model are difficult to effectively integrate for middle-layer fish habitat prediction is solved.

The invention relates to the field of fish habitat evaluation, in particular to a spawning migration type fish full life history stage suitable habitat inversion method based on a hydrodynamic model, and the method mainly comprises the steps: (1) collecting spawning migration type fish data, hydrological data and topographic data; (2) determining life history stages of the fishes and the actual number of the fishes; (3) establishing one-dimensional hydrodynamic models of different life history stages; (3) grouping the water depth and the flow velocity of each life history stage, and calculating the number frequency of fishes in each interval; (4) constructing a habitat suitability curve of water depth and flow velocity; and (5) evaluating a suitable habitat. According to the method, the suitable habitat of the spawning migration type fish in the whole life history stage can be efficiently and accurately evaluated, and protection strategy formulation and measure implementation of aquatic organisms are facilitated.

The invention discloses a habitat adaptability evaluation method based on a wild animal behavior pattern, and the method comprises the steps: S1, arranging a wild animal monitoring station, and obtaining an animal behavior pattern feature data set of a wild animal; s2, acquiring a habitat environment feature data set of wild animals; s3, constructing an ecological niche behavior-environment hypervolume model, identifying environment dimensions having influences on animal behavior modes, and screening out influence factors; s4, taking the screened influence factors as nodes, and constructing a behavior-environment dynamic complex network; and S5, analyzing an influence path and influence intensity of habitat change on an animal behavior mode through a behavior-environment dynamic complex network, dynamically updating probability distribution of habitat adaptability, outputting an adaptability score, and dividing an adaptation grade area according to the score. According to the invention, the dynamic monitoring of the habitat adaptability of wild animals is realized, and the technical problem that the habitat change influence is difficult to dynamically monitor is solved.

The invention belongs to the technical field of ecological protection, and provides a method for simulating the habitat suitability of a cowfish under reservoir retaining. Comprising the steps of reservoir retaining time node and food source determination, dolphin suitability curve fitting, two-dimensional hydrodynamic water quality model construction, dolphin comprehensive suitability model construction and dolphin comprehensive suitability and potential habitat area calculation. According to the method, through the two-dimensional hydrodynamic water quality model and the comprehensive suitability model of the cowfish, the influence of reservoir impounding on the space-time change process of the habitat suitability of the cowfish can be quantitatively and accurately simulated and evaluated, and the calculation accuracy of the suitability is improved.

The invention relates to the technical field of species ecological niche modeling, and provides a coastal wetland waterfowl ecological corridor construction method and system, and the method comprises the steps: collecting target waterfowl species distribution point data, and obtaining a waterfowl species distribution data set; performing habitat suitability modeling on environmental factor data and the waterfowl species distribution data set through a species distribution model to obtain a coastal wetland ecological source land; habitat suitability prediction modeling is carried out on the environment variables through a random forest algorithm, resistance value assignment is carried out on suitability indexes, and a coastal wetland comprehensive resistance surface is obtained; and carrying out multi-scene corridor path identification on the coastal wetland comprehensive resistance surface and the coastal wetland ecological source land to obtain the coastal wetland waterfowl ecological corridor. According to the method, the functionality of the ecological corridor under different ecological backgrounds can be comprehensively reflected, so that the ecological suitability of the constructed corridor is improved.

The invention relates to the technical field of pest control, in particular to a method for evaluating habitat suitability and diffusion trend of codling moths and application. The method comprises the following steps: S1, collecting occurrence distribution data of codling moths; s2, acquiring a plurality of pieces of bioclimate variable data, human activity influence indexes and apple yield data of codling moth occurrence distribution, constructing a multi-dimensional environmental factor data set according to the plurality of pieces of bioclimate variable data, the human activity influence indexes and the apple yield data, and performing cross validation on the data set; and S3, based on a Biomod2 set model, establishing a plurality of single ecological models according to the occurrence distribution data and the multi-dimensional environmental factor data set, selecting high-accuracy models according to TSS and AUC values of the single models, integrating the models to generate a set model, and obtaining a habitat suitability result of codling moths and a contribution rate of main environmental factors. Scientific reference is provided for early warning, monitoring and prevention of codling moths.

The invention belongs to the technical field of water ecological protection and water resource management, and particularly provides a cascade reservoir operation ecological benefit evaluation method based on a habitat model, and the method comprises the steps: collecting the topographic data of a downstream fish spawning site of a cascade reservoir, the actual measurement hydrological data of a hydrological station, and the biological data of target fishes; performing unstructured triangular mesh division on the research river reach by adopting a finite volume method, and simulating flow velocity and water depth distribution of a research area through a continuity equation and a momentum equation; according to the biological data of the target fish, a suitability curve of the flow velocity and the water depth is constructed, and the habitat suitability index HIS of each grid is calculated in combination with the flow velocity and water depth data output by the hydrodynamic module; and calculating an effective available area WUA and an overall suitability index OSI based on the HSI value for ecological benefit assessment. The method comprehensively considers the influence of the cascade reservoirs on the correlation factors, accurately evaluates the ecological benefits, and provides a scientific basis for ecological scheduling of the cascade reservoirs and fish resource protection.

The invention relates to the technical field of computer-aided engineering, in particular to a multi-scale numerical value-based beach vegetation beach fixing and wave dissipating effect simulation system, which comprises the following steps of: acquiring terrain basic data, boundary condition data, vegetation physical parameters and vegetation ecological parameters; establishing a numerical calculation grid and a terrain by using terrain basic data, and updating a landform elevation and a hydrodynamic condition based on a wave flow sediment coupling mechanism by using boundary condition data as a driving condition; according to a vegetation mechanical model, vegetation flexible deformation is calculated in combination with hydrodynamic conditions and vegetation physical parameters, and hydraulic drag force parameters are updated based on the vegetation flexible deformation; according to the habitat suitability model, evaluating the probabilistic trend of vegetation growth, death and expansion; physical process simulation and landform evolution calculation are combined, and adaptive verification and resetting steps are introduced, so that accelerated simulation of beach fixation and wave dissipation of beach vegetation is realized. According to the invention, through multi-scale simulation, accurate prediction of beach fixing and wave dissipation is realized.

The invention relates to the technical field of ecological environment protection, in particular to a multi-dimensional evaluation method for a connectivity function of a land directed ecological network, which comprises the following steps: collecting species distribution data and environment variable data of a target area to measure land inhabitation suitability; screening land habitat plaques of the target area according to the land habitat suitability; identifying a species migration corridor according to the land region species migration resistance surface and the land region habitat plaque; establishing a land directed ecological network according to the land habitat plaques and the species migration galleries; an improved multi-centrality algorithm is adopted to measure the directed degree centrality, the directed adjacent centrality and the directed intermediary centrality of the directed ecological network, and then the ecological node comprehensive centrality and the ecological connection edge comprehensive centrality of the land area directed ecological network are evaluated. Therefore, the problem that the importance of each component of the ecological network has an omission risk due to the fact that the existing connectivity assessment based on the undirected ecological network does not consider the interaction demand of the ecological flow is solved.

The invention discloses an intelligent forest wild animal monitoring method and system based on multi-source data fusion, and relates to the field of wild animal monitoring and ecological protection, and the method constructs an integrated monitoring system by arranging a ground infrared camera network and an unmanned aerial vehicle multi-sensor inspection platform and accessing satellite remote sensing data. And the system analyzes infrared data in real time by using the edge computing node and triggers emergency response of the unmanned aerial vehicle, so that quick tracking of key events is realized. Pixel-level space-time alignment and cross-modal feature fusion are performed on multi-source image data, and a target detection model is input, so that species and behaviors can be accurately identified. Meanwhile, after the multispectral data and the geographical environment data are subjected to gridding alignment, the data are input into a habitat analysis model, and a habitat suitability probability graph is generated. And automatically generating protection decision support information through comprehensive correlation analysis of species distribution and habitat quality. According to the invention, all-weather, full-space and intelligent wild animal monitoring and protection response are realized.

The application provides a reservoir drawdown zone suitable habitat construction and precise vegetation restoration method, which comprises the following steps: S1, reservoir drawdown zone habitat suitability analysis; S2, reservoir drawdown zone vertical function partition; S3, microtopography regulation; S4, vegetation restoration species selection and partition function configuration. The application fully considers the reservoir periodic flooding rhythm and site environment difference, combines the partition prominent problems, screens the tree-shrub-grass vegetation, and optimizes the partition configuration, so that the functions and benefits such as soil fixation, bank protection, sand interception, pollution interception, water quality protection and biodiversity maintenance are maximized.

The application discloses a coastal zone planning method and system based on MaXent and hotspot analysis, and relates to the technical field of coastal zone planning. The method comprises the following steps: S1, collecting environmental variable data, species distribution data and development intensity data, constructing a unified space-time grid system, and realizing time series expression of the data through data preprocessing; S2, constructing a quarterly time series maximum entropy model, time series evaluating habitat states of each grid, and forming habitat evolution types; S3, identifying time series significant hotspots and hotspot persistence and intensity characteristics, constructing a comprehensive representation of ecological development relationship, and identifying ecological development conflict types; and S4, spatially superimposing the habitat evolution types and the ecological development conflict types, forming adaptive access rules, and generating differentiated planning suggestions according to regions. The problems that the long-term dependence of coastal zone habitat suitability and development intensity on static time point data and the inability to identify time series evolution rules result in the lack of dynamic adaptability of planning are solved.

This invention discloses a method and system for the spatiotemporal dynamic evaluation of habitat suitability for rice sheath blight. By integrating multi-source time-series information, including remote sensing, meteorological, and plant protection data, the method characterizes the spatiotemporal heterogeneity of key habitat factors sensitive to rice sheath blight. Based on this, a habitat suitability evaluation model for rice sheath blight is constructed using months as the time unit, enabling a refined spatiotemporal dynamic evaluation of rice sheath blight.

The application discloses a kind of fish suitable flow habitat spatio-temporal distribution calculation method and system, through basic data collection pre-processing, target fish life history and reservoir scheduling spatio-temporal matching, cascade reservoir dynamic backwater length calculation, habitat suitability determination of dehydration river section, spatial superposition between cascades, habitat time dimension accounting and spatio-temporal matrix construction, planning scheme compliance verification and the like steps, realize the spatio-temporal dynamic accurate delineation of the habitat of native fish suitable flow after cascade development.The application fully considers the water level fluctuation and backwater dynamic change of reservoir within a year, the differentiated habitat needs of different life history stages of target native fish, solves the industry pain points of traditional method such as insufficient accuracy, disconnection with protection target and lack of time dimension evaluation, and can provide scientific and accurate technical support for basin hydropower development layout optimization, ecological protection measure formulation and planning scheme environmental impact assessment comparison.

The invention discloses a lake ecology appropriate water level determination method based on juvenile fish migration and adult fish fattening, and relates to the field of water ecology and water conservancy projects. The method comprises the following steps: acquiring lake basic data; establishing a two-dimensional hydrodynamic model, and simulating a hydrodynamic field in key periods of migration of juvenile fishes and fattening of adult fishes of the target fishes; constructing a habitat model, and calculating a habitat suitability index HSI and a weighted available area WUA; constructing a water level-WUA response curve and performing segmentation fitting; identifying a WUA stable high-value platform through a first-order derivative threshold value, and determining a suitable water level interval; and establishing scheduling mapping between the appropriate water level and the upstream discharged flow. According to the method, water level-habitat quantitative association is realized according to the staging habitat requirements of four major Chinese carps in the Yangtze River, an operable scheduling threshold value is output, the problems that a traditional method is not staging, the index is single and the method is disjointed with engineering are solved, and the method is suitable for ecological scheduling and management of riverway-communicated lakes.

The invention belongs to the technical field of ecological environment and water conservancy, and particularly provides a lake wetland migrant bird habitat suitability simulation and prediction method and system based on a CA-Markov model.The method comprises the steps that lake wetland migrant bird habitat element types, lake terrain data and daily scale site water level data are obtained; hydrological situation indexes of the lake wetland are obtained through an inverse distance weight space interpolation method; screening main hydrological situation indexes influencing the habitat elements of the migrant birds, and establishing a fitting relationship between the hydrological situation indexes and the habitat elements of the migrant birds; a CA-Markov model is adopted to simulate and predict habitat elements of the migrant birds at the next moment, simulated plant types and rest land types are used as habitat elements of habitat suitability, and the habitat suitability of the migrant birds is obtained by calculating HSI indexes. The method provides important technical support for evaluation of the suitable habitat of the migrant birds in the lake wetland and protection of biodiversity.

The invention provides a bird habitat quality assessment method and device for a large lake watershed, and is applied to the technical field of bird habitat quality assessment, and the method comprises the steps: obtaining land utilization data and bird biodiversity data of a target region, the target region comprising a plurality of different climate regions; based on the bird biodiversity data and the land utilization data, differentially adjusting and optimizing the habitat suitability parameters and the threat factor sensitivity parameters of the large lake basin for different climate regions to obtain a plurality of large lake basin bird habitat quality optimization parameter sets corresponding to the different climate regions; rasterizing the land utilization data and the threat factor data to obtain rasterized data; and inputting the rasterized data and the optimization parameter set into a preset InVEST model to carry out habitat quality evaluation, and obtaining an optimized habitat quality evaluation result. According to the method, the applicability of the model in big lake basin bird habitat quality evaluation can be improved in combination with bird ecological characteristics.

The invention relates to the technical field of wildlife monitoring and ecological protection, and discloses an unmanned aerial vehicle flight parameter adaptive optimization waterfowl population investigation method, which comprises the following steps: firstly, constructing a multi-dimensional aerial image interpretation mark library, carrying out a flight parameter and waterfowl disturbance response correlation test, establishing a quantitative behavior response spectrum, and then, carrying out unmanned aerial vehicle flight parameter adaptive optimization on the quantitative behavior response spectrum. According to the method, a frightened flight distance probability model is constructed according to a response spectrum, a minimum safety monitoring distance threshold value is calculated, an optimal monitoring flight parameter combination is determined in combination with statistical accuracy and environmental factors, and then an aerial photography task is executed to obtain population data. A dominant limiting factor is identified to generate a repair countermeasure, and a dynamic protection partition is delimited. According to the method, the contradiction between the image resolution and the safety of wild animals in unmanned aerial vehicle monitoring is effectively solved, and accurate decision-making of waterfowl protection and habitat restoration is realized.