519 results about "Habitat" patented technology

Disclosed is a reservoir ecological operation method integrating ecological flow process and water temperature process requirements of fish species, including: establishing a habitat model for a target fish species and deducing an ecological flow process of a lift history of the target fish species; calculating a critical spawning water temperature threshold and a critical gonadal development accumulated temperature threshold; establishing a multi-objective reservoir operation model to obtain flow process and water level after optimized reservoir operation; establishing a multi-objective reservoir ecological operation model integrating both the ecological flow process and the water temperature process, and calculating reservoir outflow water temperatures before and after the optimized reservoir operation; and calculating an improvement difference between the critical water temperature threshold and the accumulated temperature threshold of the target fish species on arrival dates after the reservoir ecological operation and those before the optimized reservoir operation.

The invention belongs to the field of bird repelling and equipment state monitoring, and particularly discloses a bird inhabitation multi-mode repelling and state monitoring device and method. The device is combined with a photosensitive device for day and night environment discrimination, is integrated with an intelligent hardware device of a multi-mode driving unit and a state monitoring module, and is suitable for long-term bird prevention operation in unattended scenes such as power transmission lines and transformer substations; further, accurate detection of bird approaching is realized by fusing various sensors, efficient repelling is performed by combining a multi-channel interference means of touch, hearing and vision, meanwhile, the running state of the anti-bird structure is monitored in real time, and data is remotely transmitted back, so that long-term, stable, protection and monitoring integration in an unattended scene is realized, and the safety and reliability of the system are improved. The threat of bird damage to safe operation of a power system is effectively reduced.

The invention discloses an inland river basin intelligent ecological scheduling rehearsal method fusing a scheduling process and an ecological process. The inland river basin intelligent ecological scheduling rehearsal method comprises the steps of multi-source data acquisition and digital twinborn construction; carrying out reservoir intelligent scheduling reinforcement learning modeling; ecological process lag response modeling is carried out; spatial diffusion modeling of ecological influence; performing cross attention guided ecological response interpolation; and carrying out rehearsal and visual display on the ecological scheduling scheme. According to the method, a hydrological-ecological response modeling mechanism is introduced, and a time-space response relationship between scheduling behaviors such as water level and water volume and ecological indexes such as vegetation indexes and habitat indexes is combined, so that lagging response characteristics of an ecological process to the scheduling behaviors can be quantitatively described, and the defect that a traditional scheduling model is insufficient in ecological expression capability is overcome. A reinforcement learning algorithm is utilized to fuse multi-source data for state perception and strategy iteration, and the scheduling strategy can be dynamically adjusted according to the current hydrological situation and ecological feedback result of the watershed. Compared with static rule type scheduling, the regulation and control efficiency and ecological adaptability are remarkably improved.

The invention provides a wild animal and habitat remote sensing monitoring identification method and system, and belongs to the technical field of wild animal monitoring and habitat evaluation, and the method comprises the steps: obtaining a satellite remote sensing image based on the habitat range of a target research species, and delimiting the potential habitat range of the target research species; obtaining unmanned aerial vehicle remote sensing data in the range to obtain a first image feature vector identification activity trace, and determining a target research area of the target research species; processing species monitoring data monitored by an infrared camera in the target research area to obtain a second image feature vector; inputting the second image feature vector into a preset species identification model to obtain a species identification result; performing fusion analysis on the species identification result, the satellite remote sensing image and the unmanned aerial vehicle remote sensing data, and extracting multi-dimensional habitat variables; and inputting the multi-dimensional habitat variables and the species identification result into a preset habitat quality evaluation model to obtain a habitat quality evaluation result of the target research area.

The invention discloses a vegetation-submerged embankment coupled tough coast protection method and system and a storage medium, and the method comprises the steps: firstly, determining a research region, and systematically collecting the near-shore terrain, water and sand power conditions, vegetation parameters and other data; secondly, constructing a water-sand-vegetation coupling numerical simulation model based on the collected data, and performing precision verification on the model; then selecting a suitable vegetation type in combination with environmental characteristics of the research area, carrying out artificial seeding and planting work in a vegetation potential habitat of the tidal flat, and determining a design elevation and an offshore distance of the submerged dike; and finally, evaluating the coast protection effect under the synergistic effect of the submerged embankment and the vegetation, and quantitatively analyzing the improvement degree of the coast protection effect on wave attenuation and beach stability. A sustainable tough coast protection system can be formed under the climate change background through a collaborative protection mechanism integrating natural vegetation and an artificial submerged embankment. The method has the advantages of low cost, remarkable wave reduction effect and the like, and the capability of coping with climate change challenges and comprehensive protection of coastal zones can be effectively improved.

The invention provides a key habitat identification method, device and equipment based on a species-habitat network. The method comprises the following steps: acquiring landscape type vector data and species survey data of a research area; dividing multiple habitat types based on the landscape type vector data; on the basis of habitat types, a species and habitat incidence matrix is constructed in combination with species survey data; constructing a species-habitat bipartite network based on the species and habitat incidence matrix; determining a plurality of centrality indexes of each habitat type node in the species-habitat bipartite network; performing standardization processing on the plurality of centrality indexes, and determining a comprehensive importance index of each habitat type based on the centrality indexes after standardization processing and a preset weight; and sorting habitat types based on the comprehensive importance index, and identifying a key habitat. By means of the mode, quantitative expression of the structural relation between the habitat and the species and applicability and flexibility of habitat importance identification are achieved, and deviation caused by dependence on a single index is avoided.

The invention discloses a crested ibis habitat ecological quality trend analysis method and system, and relates to ecological quality monitoring. The method comprises the following steps: S1, constructing an intelligent sensing network, synchronously obtaining multi-source data of a habitat, identifying activity events of crested ibis, and generating a multi-dimensional habitat parameter table; s2, collecting environmental samples, and generating a microbial functional gene abundance matrix through metagenome sequencing and bioinformatics analysis; s3, taking the activity events of the crested ibis as behavior tags, and generating habitat function health indexes by coupling the parameter table and the matrix training machine learning prediction model; s4, performing spatial interpolation and trend analysis based on the habitat function health index to generate an ecological quality space-time evolution graph; and S5, based on the ecological quality space-time evolution graph, performing quantitative analysis by using a spatial differentiation statistical model, and generating a trend analysis report. By fusing multi-source data, real-time dynamic evaluation of habitat ecological quality and quantitative analysis of driving factors are realized, and a direct decision basis is provided for accurate protection.

The present application relates to a kind of methods for mass propagation of tea corner miridae in laboratory, comprising the following technical steps: collecting tea garden tea corner miridae adult, cultivating fall kui seedling, putting seedling and leading insect, tea corner miridae habitat and feeding, mating and oviposition and nymph hatching and feeding.The present application uses fall kui seedling as the main body of feeding raw material, and the leaf of raw material is relatively thick, strong in harm resistance, not easy to dry, which helps to improve the hatching rate of tea corner miridae eggs, reduce the frequency of raw material supply and replacement, at the same time, the present application saves time and effort, can be realized in laboratory low cost and sustainability fast, efficient, mass propagation of tea corner miridae test insect source.

The invention provides a river sediment physical habitat evolution identification method, device and system and a medium. The method comprises the following steps: acquiring a multi-temporal remote sensing image and hydrological data (flow Q, water level Zw and slope S), screening and other hydrological condition image pairs; extracting a water surface range, and calculating the average width B of the main groove; deducing the average water depth h by using a Manning formula, and calculating the riverbed elevation zbed by combining the Zw; the difference value delta zbed of zbed in different periods is calculated, and the substrate state is judged according to the difference value delta zbed and a threshold value epsilon; and performing segment processing along the center line to output a spatial distribution result. On-site measurement is not needed by relying on conventional data, and consumption is reduced; water level interference is eliminated through equal hydrological condition matching, and comparability is ensured; water depth inversion and differential analysis directly reflect scour deposition and quantitatively reveal rules; long-distance automatic processing improves space-time coverage capability and precision, and provides a basis for river regulation, ecological restoration and drainage basin management.

The invention discloses an avian influenza host bird behavior prediction method based on deep reinforcement learning, and the method comprises the following steps: S1, deploying a multi-angle and variable-frame-rate camera in a target habitat, and collecting multi-source video data; s2, performing frame insertion, illumination normalization and background denoising processing on the video data; s3, inputting the preprocessed data into an improved YOLOv5 model to obtain a target detection result; s4, constructing a dynamic graph neural network based on bird nodes and space-time edges, and outputting a clustering situation vector; s5, inputting the flight path into a low-layer Actor-Critic strategy network, and generating a local short-term behavior decision; s6, generating a global multi-walk prediction sequence in combination with the clustering situation vector and historical error feedback; and S7, comparing a prediction result with actual observation data, and triggering online fine adjustment according to deviation. According to the invention, non-intrusive and high-precision bird behavior prediction can be realized, and the method is suitable for bird flu monitoring and early warning scenes.

The invention belongs to the technical field of mariculture, and particularly discloses a grazing and breeding combined proliferation maintenance type anchor reef which comprises a base, a prismatic table body, a center supporting column and an embedded cabin, the outer vertical face of the base is provided with inclined biological micropores which are high in inside and low in outside, the middle of the top face of the base is provided with a silt collecting groove, and a biological shell is embedded in the inner wall of the silt collecting groove; a penetration structure is arranged at the bottom of the base; the prismatic table body is clamped above the base and is hollow, a plurality of inhabiting channels are formed in the side surface, and a flow through hole is formed in the center of the top surface; the center supporting column penetrates through the center of the base and the center of the prismatic table body, an embedded cabin is integrated in the middle of the center supporting column, a bionic nest is arranged in the embedded cabin, and a biological egg attachment base is fixed in the nest; and the top end of the central supporting column is connected with the anchor chain connecting piece. The anchoring reef can be used as an anchoring system for fixing a culture facility, can also play a role in resource proliferation and maintenance, has the advantages of being stable in structure, convenient to assemble and transport and suitable for living beings to inhabit, and realizes organic combination of ecological restoration and culture production functions on the anchoring reef.

The invention relates to the technical field of waterfowl habitat recovery, in particular to a geranium wilfordii pause habitat recovery method. The method comprises the steps of selection of a suitable pause habitat, terrain transformation of the pause habitat, vegetation adjustment of the pause habitat, water body control of the pause habitat and specific food source supplementation: small fishes are regularly put and matched with benthic organisms such as shrimps and snails, so that smooth feeding of the geranium wilfordii is effectively ensured, the method is suitable for pause of the geranium wilfordii, and the health of geranium wilfordii populations is favorably improved; and a reference thought and practical reference significance are provided for geranium wilfordii population recovery.

The invention discloses an artificial habitat cold water supply scheme engineering evaluation method and system, and relates to the technical field of coral cultivation. According to the scheme, a Pareto optimal solution set is solved by adopting a multi-objective optimization algorithm, and the blindness and subjectivity of artificial experience selection are avoided by introducing environmental parameters to dynamically adjust the weights of time and space target values, so that a target cold water supply scheme can adapt to the requirements of different coral culture areas, and the coral culture efficiency is improved. And the final implementation effect of the coral reef artificial habitat cold water supply project and the coral protection efficiency are improved.

The invention discloses a dynamic simulation system for cloning a plant competition relationship under an invasive habitat, and particularly relates to the technical field of environmental protection, and the system comprises the following modules: a habitat space occupation definition module, a neighborhood expansion cost accounting module, an interspecific crisscross zone identification module, a crisscross zone displacement dynamic quantification module, and a community competition steady state determination module. According to the method, space occupation intensity is established based on overground and underground biomass, weighted integration is carried out on a stolon expansion path in combination with soil compactness, physical rejection cost is systematically quantified, the space is used as a competitive resource, growth inhibition of cloned plants under the situation that resources are sufficient but the space is limited is simulated, and the method is suitable for large-scale popularization and application. By calculating the average propulsion speed and the disturbance variance of the boundary line, the system can accurately capture the stagnation, propulsion or local stiffness state of the invasion frontal surface, and provides a judgment basis which is more dynamic for the competition end and is based on the space frontier.

The invention provides a key habitat identification method and device, electronic equipment and a computer storage medium, and relates to the technical field of ecology and ecological restoration engineering. The method comprises the following steps: acquiring data of species and habitat, and constructing a species-habitat network; determining specialty indexes of the species; based on a species-habitat network, determining the dependency degree of species on the habitat; determining a specialized species bearing index of the habitat based on the specialized index of the species and the dependency degree of the species on the habitat; sorting the specialized species bearing indexes of the habitat to determine a key habitat; constructing a species-habitat network, determining specialty indexes of species and dependency degrees of the species on the habitat, further calculating specialty species bearing indexes of the habitat, and sorting and identifying a key habitat; through derivation and quantification of indexes, accurate recognition of the key habitat is realized, and the efficiency and effect of ecological protection are improved.

The invention relates to the technical field of marine ecological engineering, in particular to a marine coral reef ecological restoration method based on a foamed aluminum base material, which comprises the following steps: preparing a modified foamed aluminum main body structure, constructing a modified bioactive surface layer, filling a modified phase change material capsule, and putting a restoration unit. According to the invention, the foamed aluminum main body structure provides a stable three-dimensional through porous network, and a natural reef habitat environment is simulated; a hydroxyapatite coating or a polymer layer constructed on the surface of the coral bone-imitating material remarkably improves the coral larva attachment and colonization efficiency through coral bone-imitating inorganic components or specific polypeptides respectively; the phase-change material capsules filled inside buffer water temperature fluctuation through phase-change latent heat, a stable micro-thermal environment is provided for coral growth, the functions of all the components are complementary and synergistic, foamed aluminum provides a carrier for surface functionalization, the surface active layer optimizes a biological interface, the internal temperature adjusting unit guarantees ecological suitability, and an efficient repairing system is formed. The coral reef ecological restoration effect is obviously improved.

The utility model discloses a high-flow-speed flowing water culture tank device. Water circularly flows in a high-level water tank, a high-flow-speed flowing water culture tank and a low-level water tank through a circulating lifting pump and a circulating pipeline; the high-flow-speed flowing water breeding tank is in a winding shape, the bottom slope has different gradients, and the bottom of the high-flow-speed flowing water breeding tank is connected with the bottom of the low-position pool through a slope ramp. According to the utility model, diversified habitats with still water, different flow speeds and the like are provided for fishes.

The invention belongs to the field of reservoir erosion and deposition scheduling, and particularly relates to a sediment-carrying reservoir power generation-erosion and deposition dynamic optimization scheduling model construction method. The invention discloses a sediment-carrying reservoir power generation-erosion and deposition dynamic optimization scheduling model construction method. The method comprises the following steps of S10, collecting reservoir terrain scanning data, hydrological monitoring data and ecological space data; the ecological space data comprises a spawning site elevation threshold distribution map and a benthic organism habitat substrate type partition map; superposing the data into a three-dimensional geographic ecological model through the acquisition positions of the data; s20, based on historical erosion and deposition operation records, erosion and deposition equipment scheduling parameters and corresponding geographic ecological models before and after erosion and deposition are extracted, and an erosion and deposition reduction model is established; and calculating the siltation reduction amount according to the geographic ecological model before and after erosion and siltation. According to the scheme, the problem that the reservoir ecology is destroyed due to extensive scouring and silting scheduling in the prior art is solved, the dynamic prediction, intelligent scheduling and closed-loop management capabilities are achieved, and the scouring and silting precision, efficiency and benefits are remarkably improved.

The invention discloses a soil organic carbon remote sensing estimation method based on habitat plaque division and machine learning, and belongs to the technical field of ecological environment evaluation, and the method comprises the following steps: S1, obtaining remote sensing data and basic geographic data of a research area, and carrying out the preprocessing of the remote sensing data; s2, according to the preprocessed remote sensing data and basic geographic data, calculating a spectral index and an environment covariable of a research area; s3, performing sub-region division on the research region; and S4, simulating and generating a spatial distribution diagram of the organic carbon content of the soil by utilizing machine learning based on the sub-region division result of the research region, the spectral index and the environment covariable. According to the method, the problem of relatively low simulation precision possibly caused by using a single model to simulate the existing complex terrain region and the limitation of a machine learning model in the explanatory aspect are made up.

The present invention relates to the technical field of fish reproduction and release facilities, and specifically to an ecologically simulated fish fry wilding training fishway and a wilding training method. A water reservoir, a water supply unit, a return water unit, a fishway body, and an inlet fishway; the water supply unit is used to supply water from the water body to the water reservoir; one end of the fishway body is connected to the water reservoir through a water discharge valve, and the other end of the fishway body is connected to the water body through an inlet fishway; a water retaining gate is provided on the inlet fishway; a first resting pool, a second resting pool, and a third resting pool are provided in the fishway body; a number of stone steps are provided on the fishway body; and at least two water retaining steps are also provided. In response to the technical problem of low survival rate of released fry, the present invention is more in line with the characteristics of the wild habitat of released fish, and can train the fry's ability to adapt to natural water bodies by adjusting the flow rate and flow rate in the fishway body, meet the needs of fish wilding training, and also meet the needs of zoned breeding in the fishway body at the same time.

The invention discloses a coastal wetland blue carbon reserve measurement method based on habitat perception and missing codes. The method comprises the following steps: obtaining habitat category labels and micrometeorological parameters of a target area; generating a sensor scheduling instruction and a scheduling state code according to the habitat category label and the micrometeorological parameter; active compensation is executed according to the pod attitude change, and a data confidence mark is generated; constructing feature vectors of the grid units; constructing a structural deficiency indication code, jointly inputting the structural deficiency indication code and the feature vector into an inversion model, and outputting a blue carbon reserve prediction value of the target area and a corresponding uncertainty index; when the uncertainty index exceeds a preset threshold value, a recovery strategy is generated, and subsequent flight planning parameters are dynamically corrected; and after the recovery data is updated, repeatedly executing the processes of feature construction, inversion and uncertainty evaluation until the global uncertainty meets a preset requirement. According to the method and the system, the stability and the reliability of a blue carbon reserve space inversion result in a complex coastal wetland environment are improved.

The invention provides a new airport site selection planning method based on bird strike risk prevention and application thereof, and the method comprises the steps: firstly screening out a pre-selected site position in a site pre-selection stage according to the limiting conditions of airport construction; comprehensively considering the degree of harm to aircrafts caused by collision of dominant bird species and bird machines in the research area, and determining the egret species, the goose and duck species and the gull species as high-risk bird species in the research area; performing high-risk bird habitat identification by using an analytic hierarchy process and a GIS analysis method; by loading, checking and visualizing weather radar data, the intensity and spatial-temporal distribution characteristics of bird activities are visually analyzed, the bird strike risk of each site scheme is evaluated, and suggestions are provided for site selection and construction of an airport. The method is suitable for airport site selection in a region where the weather radar is deployed, helps the region to do early site selection planning work, and further guarantees the flight safety.

The invention provides a river gallery habitat quality evaluation method and device and a storage medium. The method comprises the steps of obtaining a river static scoring system; constructing a river gallery seasonal dynamic change boundary model; locking a gallery boundary in a critical period of the key species, and delimiting a dynamic gallery boundary adjusted along with natural hydrological fluctuation in a non-critical period of the key species; obtaining the influence of each scale buffer area on the river ecological environment and the habitat quality change characteristics of the buffer area, and dividing the river reach in different buffer areas into different quality subareas according to the habitat quality; determining repair measures corresponding to different quality partitions; identifying the historical optimal habitat quality of the river gallery; and obtaining the habitat quality of different quality partitions after corresponding restoration measures, comparing the habitat quality with the historical optimal habitat quality to obtain a restoration effect result, and obtaining the change trend of the habitat quality through spatial superposition. By adopting the evaluation method provided by the invention, the evaluation result is closely associated with the ecological restoration practice, and the ecological restoration of the river gallery can be scientifically guided.

The invention relates to the technical field of crested ibis protection, and discloses an intelligent crested ibis habitat environment evaluation system. A water quality dynamic evaluation module of the system obtains data of a water quality sensor and adjusts the proportion of an acid-base balance agent and a mineral supplement; the vegetation coverage gradient analysis module compares the vegetation coverage density change rate with the crested ibis inhabitation demand and adjusts the restoration rate based on the water quality regulation and control result; the soil moisture content adjusting module calculates the soil moisture content of multiple sampling points and adjusts a moisture management strategy according to the vegetation adjusting result; the meteorological change prediction regulation and control module obtains meteorological data, calculates future humidity change and adjusts the moisture and mineral supplement proportion; and the ecological factor linkage optimization module extracts the activity frequency and food source data of the crested ibis, calculates the day and night ecological factor supply proportion, adjusts the management time sequence, and finally generates an intelligent evaluation result of the crested ibis habitat environment, thereby realizing accurate and systematic regulation and control of the crested ibis habitat environment.

The invention relates to the technical field of plant disease early warning, and discloses a plant disease early warning method which comprises the following steps: S1, acquiring environment data of a plant location, plant leaf surface wetting duration data and spore concentration data in air around a plant to form a data set; s2, based on the data set, an early warning signal is sent out according to a preset condition, and the early warning signal is used for early warning of occurrence of the plant diseases. Specifically, according to the plant disease early warning method, environmental data of a plant location, plant leaf surface wetting duration data and spore concentration data in air around a plant are collected to serve as the basis for judging whether the plant disease occurs or not, early warning can be effectively conducted on the plant disease, and on the basis of an early warning signal, early warning is conducted on the plant disease. And maintenance personnel can perform targeted intervention on plant diseases, so that the maintenance efficiency is improved, and the disease morbidity is reduced.

The invention discloses a habitat quality influence assessment method based on an InVEST model. The habitat quality influence assessment method comprises the steps of S1, acquiring land cover classification data and threat factor data of an assessment area; s2, on the basis of the land cover classification data and the threat factor data, a habitat quality spatial distribution diagram of the evaluation area is calculated by using a habitat quality module in an InVEST model; s3, based on the habitat quality spatial distribution map, combining selected driving factor data, and utilizing a geographic detector model to quantitatively analyze the interpretation force of each driving factor on the habitat quality spatial diversity; s4, performing spatial overlay analysis based on the habitat quality spatial distribution map and ecological protection red line range data of the evaluation area; the method has the beneficial effects that the independent interpretation force of multiple driving factors such as natural geography and human activities on the habitat quality spatial diversity is quantitatively revealed by introducing the geography detector model, and the interaction effect between the factors can be further detected.

According to the indigenous plant adaptability screening test method simulating the environmental stress condition, the transparent incubator is combined with real-time monitoring equipment such as the high-resolution miniature camera array and the optical fiber sensor, complex laboratory equipment is replaced, and the root system observation problem is solved. The environmental stress condition of a target habitat is accurately simulated, the environmental characteristics of drought, depletion, special soil structure and the like of the high and steep slope are accurately restored by adopting layered matrix and dynamic stress intervention, a systematic evaluation system is established by combining multi-index quantification and a similar analytic hierarchy process, the subjectivity of artificial experience judgment is avoided, and the evaluation accuracy of the high and steep slope is improved. And the scientificity and engineering applicability of indigenous plant screening are remarkably improved.

An insect monitoring system for luring and capturing insects including a digital camera with dual UV and white LEDs and a processor configured to acquire visual insect data to recognize insect species in conjunction with previously tagged insect groups; and evaluate insect migration and / or dispersion within a habitat range. A method utilizing UV tagging mechanisms for monitoring and predicting insect migration and / or dispersion including providing insect monitoring stations for collecting data indicative of a previously tagged insect groups' presence within a habitat range, providing the data to a server, retrieving previously received data, and determining a change in the data to provide historical, real-time, and predictive information to a user.

The invention belongs to the technical field of ecological restoration, and provides a mountainous river-oriented fish diversified habitat natural shaping restoration method, which comprises the following steps of: determining fishes with a relative important index greater than 5% in a river as target fishes; the habitat factors of the river are screened, the habitat factors with colinearity are divided into a factor group, and only one habitat factor is reserved in each factor group to serve as a representative habitat factor; carrying out modeling on the resource distribution and representative habitat factors of the target fishes by adopting a generalized additive model; screening to obtain a generalized additive model with a minimum akaike information criterion, and determining an optimal habitat factor combination; and determining a restoration scheme according to the habitat factor combination, and adjusting the habitat of the target fish. According to the restoration method, the natural process is simulated to remodel the diversity of the mountain river habitat, the key problems of hydrological connectivity fracture, habitat simplification, engineering and ecological contradiction and the like are solved, and fish population restoration and ecological system self-maintenance are achieved.

The invention provides an ecological security pattern construction method for collaborative protection of birds and amphibians, which is applied to the technical field of regional ecosystems and comprises the following steps: determining a habitat quality index of a target region based on a land utilization remote sensing monitoring data set of the target region; determining a plurality of landscape types of the target region based on the binary image of the target region; based on the habitat quality index and the plurality of landscape types, respectively determining a bird ecological source candidate area and an amphibian ecological source candidate area; based on the landscape connectivity index, grading the bird ecological source candidate area and the amphibian ecological source candidate area, and determining a species collaborative ecological source; and according to a circuit theory, determining an ecological safety pattern of bird and amphibian collaborative protection based on an ecological resistance surface set of a species collaborative ecological source. According to the embodiment of the invention, the overall connectivity and functionality of the ecological network can be improved while the constructed ecological security pattern meets the multi-class group ecological requirements.