45 results about "Habitat suitability" patented technology

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 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 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.

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 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.

This invention provides a method and system for extracting the habitat suitability distribution of grassland caterpillars, comprising: acquiring multi-source data; constructing a multi-dimensional habitat factor system based on the ecological response relationship of grassland caterpillars to habitat factors at different life stages; identifying key habitat factors in the multi-dimensional habitat factor system; constructing spatially structured samples based on the species-accessible areas of grassland caterpillars to obtain a structured sample set; constructing an integrated small model based on key habitat factors and the structured sample set; the integrated small model is obtained by weighted integration of multiple sub-models, each sub-model being constructed from at least one key habitat factor; evaluating and optimizing the integrated small model and decision threshold to determine the optimal model and optimal threshold; and using the optimal model and optimal threshold to extract and classify the habitat suitability of the test area, generating a grassland caterpillar habitat suitability distribution map, thereby enhancing the stability of the model in extrapolation prediction and improving the accuracy of prediction.

The invention relates to the technical field of ecological monitoring, in particular to a wild animal community state monitoring method and system based on an unmanned aerial vehicle, and the method comprises the steps: firstly controlling a visible light camera, a thermal imaging camera and a multispectral camera carried by the unmanned aerial vehicle to carry out hardware synchronous collection, and obtaining time-space aligned multi-modal data; preprocessing and lightweight AI preliminary identification are carried out at the unmanned aerial vehicle end; edge calculation and cross-modal fusion analysis are carried out on a ground control station to realize species identification, quantity statistics, behavior analysis and vegetation index calculation; multiple spatio-temporal data are integrated at the cloud end for deep modeling, distribution density fine calculation, behavior pattern semantic understanding and habitat suitability comprehensive evaluation are completed, and finally a comprehensive monitoring report and early warning are generated. The problems that a traditional monitoring method is single in data dimension, poor in analysis timeliness and lack of habitat association evaluation are solved, and efficient, all-weather and automatic comprehensive monitoring and evaluation of the wildlife community state are achieved.

The present application relates to the technical field of ecological environment and carbon emission management, and discloses a method, device and equipment for evaluating carbon sink potential of ecological restoration in an open-pit mine area, which comprises the following steps: obtaining basic data of the mine area, and constructing a multi-dimensional remote sensing data cube, an environmental factor database and a species distribution sample database based on the basic data of the mine area; generating a closed pit spatiotemporal distribution database based on the multi-dimensional remote sensing data cube; modeling the habitat suitability probability of species based on the environmental factor database, the species distribution sample database and the closed pit spatiotemporal distribution database, and generating an ecological restoration suitability spatial zoning database; generating a carbon sink potential spatiotemporal distribution map based on the closed pit spatiotemporal distribution database and the ecological restoration suitability spatial zoning database, and evaluating the carbon sink potential of the mine area based on the carbon sink potential spatiotemporal distribution map; the present application can finely depict the spatiotemporal evolution law of the restoration of the mine area, dynamically quantify the carbon fixation potential of different restoration measures and species types, and obtain a scientific carbon sink evaluation method.

The application discloses a kind of human activity influence assessment methods of forestry ecological diversity, comprising: the historical remote sensing image sequence of target area is collected, the reflectivity of pixel is fitted as continuous harmonic model;Harmonic model is used to calculate the reflectivity of pixel fitting, and the mutation pixel is screened out, and then the mutation point that human activity produces disturbance to target area is identified;The normalized disturbance index of pixel is calculated, and the habitat suitability index of pixel is obtained;The habitat suitability index of pixel is calculated, and the suitable habitat pixel is screened out, and the maximum activity radius and ecological area of organism in suitable habitat patch are calculated;Ecological diversity influence coefficient is calculated, and the influence situation of human activity on the ecological diversity of target area is evaluated.The application uses long time sequence remote sensing to quantize disturbance and recovery track, can identify short-term interference and long-term recovery process, realize the time sequence correlation evaluation of " change process-ecological response ".It provides data support for forestry sustainable management and ecological protection.

The invention belongs to the technical field of habitat monitoring, and discloses a deep ecological niche model habitat monitoring system based on multi-source remote sensing data, which is suitable for habitat suitability dynamic monitoring and future distribution prediction of extremely dangerous waterfowls such as green-head diving ducks. According to the system, multi-source remote sensing images, unmanned aerial vehicle hyperspectral and laser radar data and ground ecological monitoring and Internet of Things sensing information are integrated, ecological factor three-dimensional tensors are constructed, and deep ecological niche modeling is carried out in combination with Transform-based space-time coding and a maximum entropy nested model. An ecological factor fusion response function and an SHAP value interpretation mechanism are introduced into the system, dynamic weighting and interpretable analysis of key environment variables are achieved, and simulation prediction of potential habitats in 2030 under the RCP climate scene is supported. The system has the functions of multi-factor fusion, space-time modeling, interpretable reasoning and feedback optimization, and is widely applied to the scenes of endangered species protection, ecological red line evaluation, intelligent wetland supervision and the like.

The invention provides a migrant bird habitat environment monitoring and protection method based on the Internet of Things, and relates to the technical field of environment monitoring and protection. Comprising the following steps: constructing a three-dimensional environment model of a target migrant bird habitat, and dividing the habitat into monitoring sub-regions; environment factor data of each monitoring sub-region are collected and preprocessed; constructing a habitat suitability evaluation model, and optimizing an environmental factor preference interval in the ecological niche factor analysis model by using kernel density estimation; deploying fixed Internet of Things monitoring nodes for the high-suitability level area; and dynamically monitoring the patrol path of the mobile monitoring equipment in the low-suitability-grade area according to seasonal periods. According to the method, the suitability is evaluated by applying a kernel density estimation and ecological niche factor analysis model, fixed and mobile monitoring nodes are deployed, and a patrol path is planned. The scientificity, the accuracy and the initiative of monitoring are improved, the ecological stability of the habitat of the migrant birds is powerfully guaranteed, and the long-term reproduction and inhabitation of the migrant birds are promoted.

This invention belongs to the field of remote sensing technology and discloses a method for optimizing habitat quality parameters in the InVEST model based on Remote Sensing Ecological Indices (RSEI). This invention overcomes the technical bottleneck of traditional InVEST models, which rely on manual experience to set parameters and are difficult to update dynamically over time. By constructing a multi-source remote sensing data-driven RSEI, and utilizing its statistical characteristics and spatial distribution patterns across different land use types, it achieves objective quantification and dynamic updating of four key parameters: habitat suitability, threat weight, threat attenuation distance, and habitat sensitivity. Without requiring data from ecological monitoring stations, it directly incorporates continuous changes in ecological environment quality into the InVEST parameter system, resulting in higher objectivity, temporal consistency, and spatial autocorrelation in habitat quality calculations. This provides a novel technical approach for the automated and time-series assessment of regional-scale habitat quality.

This invention relates to a method for assessing the habitat of filter-feeding benthic animals and its application, belonging to the field of aquatic ecological environment assessment technology. This invention provides a method for assessing the habitat of filter-feeding benthic animals, comprising the following steps: (1) measuring water body indicators, processing the data to obtain water body physicochemical indicator data W1, sediment environment indicator data W2, food resource indicator data W3, and biological behavior adaptation indicator data W4; (2) calculating the habitat suitability index SEI; (3) assessing whether small water bodies are suitable for the survival of filter-feeding benthic animals based on the habitat suitability index. This invention is highly targeted, comprehensive in its indicators, precise in its quantification, and widely applicable. It can be used for habitat suitability assessment, ecological restoration effect monitoring, and artificial rearing area selection, etc., and has high application value and is easy to promote and implement.

The invention discloses a method for evaluating fish habitat and ecological flow regulation and control based on a data-driven fuzzy model, belongs to the field of water conservancy and hydropower engineering environmental protection and ecological hydraulics, and particularly relates to a method for evaluating fish habitat and ecological flow regulation and control. According to the method, a hydraulic parameter membership function is automatically deduced from on-site fish behavior observation data through a fuzzy C-means clustering (FCM) algorithm, a fuzzy rule base is constructed, a habitat suitability index (HSI) model under the synergistic effect of multiple factors such as water depth and flow velocity is established, and an environment flow threshold value based on weighted available area (WUA) maximization is output. According to the method, the defects that a traditional habitat model excessively depends on expert experience and multi-factor interaction processing is insufficient are overcome, objective quantification of model parameters and accurate capture of a complex nonlinear relation are achieved, quantifiable and species-specific decision support is provided for cascade reservoir ecological scheduling, and the method has the advantages of being high in practicability and easy to popularize. And hydroelectric benefits and ecological protection requirements are effectively balanced.

The invention discloses a river habitat index determination method based on vorticity and fish energy consumption coupling, and the method comprises the steps: firstly extracting the geometric features of a river bed, vegetation and reefs, and constructing a fish habitat physical model; three types of vorticity coefficients are obtained through tests and calculation, and the total vorticity is obtained through quantification and superposition; calculating actual energy consumption in combination with fish cruise basic energy consumption and a vorticity correction coefficient, and obtaining energy consumption and vorticity suitability indexes through an exponential function; and finally, constructing a comprehensive suitability index by adopting a geometric mean function, formulating a grading standard, and realizing habitat suitability judgment. The method is suitable for river habitat heterogeneity and hydrological dynamic changes, suitable habitats can be identified, targeted design of repair measures is achieved, regulation and control indexes are provided for fish habitat design of water conservancy and channel engineering, result reliability and repeatability are guaranteed by means of standardized processes and multi-source verification, and the method is suitable for popularization and application. Fish habitat protection and ecological function recovery in the area are facilitated.

The invention discloses a method for evaluating the influence of human activities on the ecological diversity of forestry, and the method comprises the steps: collecting a historical remote sensing image sequence of a target region, and fitting the reflectivity of pixels into a continuous harmonic model; calculating the reflectivity of pixel fitting by using a harmonic model, screening out abrupt change pixels, and further identifying abrupt change points where human activities disturb the target area; calculating a normalized disturbance index of the pixel to obtain a habitat suitability index of the pixel; calculating habitat suitability indexes of the pixels, screening suitable habitat pixels, and calculating the maximum activity radius and ecological area of organisms in suitable habitat plaques; and calculating an ecological diversity influence coefficient, and evaluating the ecological diversity influence condition of the human activities on the target area. According to the method, disturbance and recovery tracks are quantified by using long-time sequence remote sensing depth, short-term interference and long-term recovery processes can be identified, and'change process-ecological response 'time sequence correlation evaluation is realized. And data support is provided for sustainable management and ecological protection of forestry.

The invention discloses an elk habitat suitability identification method and device, and the method comprises the steps: obtaining multi-source geographic space data of an invention region related to an elk habitat, and carrying out the standardization preprocessing, based on a geographic information system, converting the multi-source geographic space quantity into space evaluation factors reflecting terrain, climate, vegetation and human interference; determining the weight of each spatial evaluation factor, constructing a spatial weighted stacking model of habitat suitability indexes based on the weights, executing the spatial weighted stacking model to obtain a habitat suitability grade distribution diagram of the region of the invention, and identifying high-suitability habitat plaques based on the distribution diagram. And through fitting analysis, determining an area threshold of which the habitat potential is remarkably improved. According to the method, the suitability grade distribution diagram and the design parameters which are directly used for guiding the ecological restoration engineering are generated.

The invention provides a watershed fish habitat matching method and system based on model simulation, and the method comprises the steps: obtaining environment monitoring data of different monitoring points in a watershed in a preset time period, and constructing a watershed environment scene data set in combination with the landform basic data of the watershed; performing multi-dimensional feature analysis processing on the data set to generate a fish habitat demand feature set; performing cross-scale feature matching based on the environment feature evolution sequence and the fish habitat demand feature set, and constructing a habitat suitability incidence matrix; performing space-time planning processing on the habitat suitability incidence matrix to generate a habitat suitability index distribution map; and determining an optimal habitat space range of the target fishes, performing ecological protection priority ranking on the optimal habitat space range, and generating a watershed fish habitat planning result. According to the invention, the practicability and pertinence of the planning result of the watershed fish habitat are improved.

This invention discloses a method for screening ecological source areas in densely populated urban areas that couples multiple factors with planning overlays. Belonging to the field of urban ecological planning, the method includes the following steps: screening of dual indicator species and construction of differentiated resistance surfaces; habitat suitability assessment and preliminary extraction of potential source areas; minimum cost path simulation under cost constraints; functional connectivity importance evaluation based on graph theory; three-factor coupled screening and source area classification; and verification and application feedback of overlay with statutory planning. This invention, a method for screening ecological source areas in densely populated urban areas that couples multiple factors with planning overlays, comprehensively evaluates the ecological value of patches from three dimensions: internal patch attributes, external migration resistance, and their connecting role in the network. This significantly improves the scientific rigor and comprehensiveness of source area screening, directly identifying ecological source areas covered, omitted, or requiring improvement under planning, providing clear and operable technical support for planning revision, implementation, and daily ecological management.

The invention relates to the technical field of species habitat suitability evaluation, and discloses a farmland bird habitat suitability evaluation method, system, device and medium, and the method comprises the steps: obtaining the environmental factor data of a real distribution point of a target bird in a target farmland region, generating a pseudo distribution point based on the environmental factor data, and obtaining the environmental factor data of the pseudo distribution point; and a plurality of distribution model algorithms and training models are respectively utilized to learn a mapping relation between the existence probability of the target bird group at different distribution points and the environment variable, a plurality of candidate models are obtained, and the optimal models are screened according to a preset model screening condition and are integrated, so that a final candidate farmland bird habitat suitability evaluation model is obtained. The method can efficiently and quantitatively evaluate the habitat suitability of any farmland area to be detected for a specific bird group, quickly identifies high-quality habitat space distribution and potential areas facing decline threats, and provides a scientific basis for protection and management of farmland birds.

The invention relates to the technical field of ecological environment and carbon emission management, and discloses a strip mine area ecological restoration carbon sink potential assessment method, device and equipment, and the method comprises the steps: obtaining mine area basic data, and constructing a multi-dimensional remote sensing data cube, an environmental factor database and a species distribution sample database based on the mine area basic data; generating a closed pit space-time distribution database based on the multi-dimensional remote sensing data cube; performing species inhabitation suitability probability modeling based on the environmental factor database, the species distribution sample database and the closed pit spatial and temporal distribution database, and generating an ecological restoration suitability spatial partition database; based on the closed pit space-time distribution database and the ecological restoration suitability space partition database, a carbon sink potential space-time distribution diagram is generated, and the mining area carbon sink potential is evaluated based on the carbon sink potential space-time distribution diagram. And a scientific carbon sink estimation method is obtained.

The invention discloses a forest wild animal habitat evaluation and ecological corridor planning method and a forest wild animal habitat evaluation and ecological corridor planning system. Relates to the technical field of ecological protection and forestry information. The method comprises the following steps: acquiring a forest point cloud and a multispectral image by using an unmanned aerial vehicle carrying a laser radar and a multispectral camera; preprocessing to generate a digital elevation model, a vegetation canopy height model and an orthoimage; generating a land utilization classification map based on the image and a canopy height model, and calculating a landscape index; generating a habitat suitability grid map by using a pre-trained multi-modal deep neural network; identifying core habitat plaques through spatial overlay analysis; constructing a landscape map taking the habitat plaques as nodes, performing connectivity analysis by using a pre-trained map attention network, constructing a dynamic resistance surface, and determining a key ecological corridor; and combining the high-resolution image to identify the breaking point, and outputting an ecological corridor planning scheme. According to the invention, high-precision habitat evaluation and data-driven corridor planning can be realized.

The present application relates to the technical field of marine ecological information, and discloses a habitat suitability prediction method and system for marine ecological management, wherein the habitat suitability prediction method for marine ecological management comprises the following steps: obtaining fisherman traditional knowledge data, converting audio data into text format through natural language processing technology, and generating a traditional knowledge graph containing the corresponding relationship between observation characteristics and fishing results; performing canonical correlation analysis on the surface observation characteristics in the traditional knowledge graph and vortex physical parameters, and converting the traditional knowledge into quantitative expression in the vortex parameter space based on a mapping matrix; and integrating multiple source prediction results by using a random forest, taking the traditional knowledge data and the physical model calculation results as input characteristics, and outputting a middle-layer fish habitat probability distribution map. The present application solves the technical problem that traditional knowledge and vortex physical models are difficult to effectively integrate for middle-layer fish habitat prediction.

The invention discloses a coral reef habitat suitability prediction method and system, and relates to the technical field of suitability prediction, and the method comprises the steps: carrying out the preprocessing of obtained vector surface data, and obtaining coral reef vector distribution data; uniformly processing the coral reef vector distribution data to obtain marine environment variable data; cutting the geographic space data abstract library to obtain environmental factors; inputting a Pearson correlation coefficient algorithm to generate a correlation coefficient matrix; performing non-collinearity processing on the maximum entropy model to obtain a non-collinearity requirement; performing optimization processing on an akaike information criterion to construct an initial maximum entropy model; performing comparison verification by using a multi-index gradual optimization method to obtain a target maximum entropy model; and analyzing the distribution current situation map and the distribution prediction map of the coral reef suitable area to obtain a response curve, and obtaining coral reef suitable area change conditions in different periods under different climate scenes. Parameters are provided for the environment and ecology, and the effectiveness of protection measures is improved.

The application discloses a kind of habitat suitability curve tolerance range determination methods for lake ecological water level, the method comprises the following steps: step 1, habitat suitability curve baseline construction;Step 2, lake hydrodynamic water quality model is established;Step 3, cumulative weighted available area calculation;Step 4, lake ecological water level calculation result acquisition;Step 5, habitat suitability curve variation scheme design;Step 6, habitat suitability curve tolerance range determination.The method disclosed in the application gives consideration to the simplicity of operation and ecological correlation, is especially suitable for limited data information but needs to quickly evaluate the management practice of habitat factor sensitivity, optimizes resource allocation;The method disclosed in the application quantifies the elastic space of lake ecological water level dynamic adjustment, provides scientific basis for lake habitat protection and restoration.

The application discloses a kind of wild animal habitat suitability evaluation method based on geographical weighted random forest classification model, belong to ecological information science, geographic information science, wild animal protection and machine learning technical field.The present application is aimed at the defects that existing global model cannot capture the spatial non-stationarity of environment-species relationship and traditional geographical weighted model is difficult to deal with nonlinear classification problem, constructs a spatial self-adaptive local random forest classification model system, completes the whole process of data library construction, spatial weight definition, optimal bandwidth optimization, global suitability prediction, result grading and driving factor analysis.The application significantly improves the habitat assessment accuracy in large-scale, high-heterogeneous habitat areas, can simultaneously analyze the dominant driving factors of species distribution in different regions, provides accurate scientific basis for wild animal habitat protection and nature reserve planning, and adapts to the evaluation needs of multiple types of wild animals.