66 results about "Habitat suitability" patented technology

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.

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 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 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 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.

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.

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.