Ecological safety pattern construction method for collaborative protection of birds and amphibians

Abstract

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.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of regional ecological system, and in particular to an ecological security pattern construction method for bird and amphibian collaborative protection. BACKGROUND

[0002] Ecological security pattern (ESP) is one of the core contents of the cross-research of ecology and geography. As an important basis for regional ecological protection and spatial planning, ESP aims to identify the ecological elements and their spatial relationships which are crucial to the stability of regional ecological system and ecological service function, and then optimize the spatial layout to realize the coordinated development of ecological protection and human activities.

[0003] The existing ESP construction technology mainly evaluates the habitat suitability and identifies the ecological network by taking a species or only a certain type of indicator species as the object, which fails to fully consider the significant differences in habitat selection, migration ability, threat sensitivity and other aspects of different groups, and is difficult to meet the demand of multi-species collaborative protection under complex ecological system.

[0004] Therefore, the ESP construction method in the related art is difficult to meet the ecological needs of multiple biological groups at the same time, which is not conducive to the realization of comprehensive biodiversity protection goal. SUMMARY

[0005] The present application provides an ecological security pattern construction method for bird and amphibian collaborative protection, which solves the defect that the ESP construction method in the prior art is difficult to meet the ecological needs of multiple biological groups at the same time, and can improve the overall connectivity and functionality of the ecological network while meeting the ecological needs of multiple groups.

[0006] This invention provides a method for constructing an ecological security pattern for the coordinated protection of birds and amphibians, comprising the following steps. Based on the ecosystem service function assessment and trade-off model and the land use remote sensing monitoring dataset of the target area, the habitat quality index of the target area is determined. Based on the morphological spatial pattern analysis model and the binarized image of the target area, multiple landscape types of the target area are determined. Based on the habitat quality index and the multiple landscape types, candidate areas for bird and amphibian ecological sources are determined respectively. The landscape connectivity index of the candidate areas for bird and amphibian ecological sources is determined respectively. Based on the landscape connectivity index, the candidate areas for bird and amphibian ecological sources are classified to determine species-co-existing ecological sources. Based on a preset ecological resistance factor, the set of ecological resistance surfaces of the species-co-existing ecological sources is determined, wherein the set of ecological resistance surfaces includes: bird ecological resistance surface, amphibian ecological resistance surface, and dual-species co-existing resistance surface. Based on circuit theory, based on the set of ecological resistance surfaces of the species-co-existing ecological sources, the ecological security pattern of bird and amphibian co-protection is determined, wherein the ecological security pattern includes: ecological corridors, ecological pinch points, and ecological barrier points.

[0007] According to the present invention, a method for constructing an ecological security pattern for the coordinated protection of birds and amphibians is provided. The step of determining the habitat quality index of the target area based on the land use remote sensing monitoring dataset of the target area, according to the ecosystem service function assessment and trade-off model, includes: obtaining the habitat degradation degree of each grid cell under the target land use cover type in the land use remote sensing monitoring dataset of the target area; and determining the habitat quality index of the target area based on the habitat degradation degree of each grid cell.

[0008] According to the present invention, a method for constructing an ecological security pattern for the coordinated protection of birds and amphibians is provided. The step of determining the habitat quality index of the target area based on the habitat degradation degree of each grid cell includes: determining the habitat quality index of the target area according to the following formula: in, Indicates land use and cover types Next Habitat quality index of each grid cell, Indicates land use and cover types Habitat suitability Indicates land use and cover types Next Habitat degradation of each grid cell This represents the preset half-saturation constant.

[0009] The application provides a bird and amphibian collaborative protection-oriented ecological security pattern construction method. wherein, represents a land use and coverage type The habitat degradation degree of a next grid unit is determined according to the following formula: is the number of stress factors; is a stress factor index of a grid unit; is the total number of grid units of the stress factor; is the weight of the stress factor ; and is a stress factor value of the grid unit index ; and is a stress factor value of the grid unit index ; and is a stress level of the grid unit ; and is the accessibility of the stress factor to the grid unit ; and is the sensitivity of the land use and coverage type to the stress factor .

[0010] The application provides a bird and amphibian collaborative protection-oriented ecological security pattern construction method. The application provides a bird and amphibian collaborative protection-oriented ecological security pattern construction method. The application provides a bird and amphibian collaborative protection-oriented ecological security pattern construction method. The application provides a bird and amphibian collaborative protection-oriented ecological security pattern construction method. The application provides a bird and amphibian collaborative protection-oriented ecological security pattern construction method.

[0011] The application provides a bird and amphibian collaborative protection-oriented ecological security pattern construction method. The application provides a bird and amphibian collaborative protection-oriented ecological security pattern construction method. ​ in, Indicates the potential connectivity index. Represents the overall connectivity index. This represents the total number of patches in the candidate bird habitat and the candidate amphibian habitat. Indicates the first One patch, Indicates the first One patch, Indicates the first The first patch and the first The greatest probability of spread between patches Indicates the first The first patch and the first The number of shortest path connections between patches This represents the total landscape area within the candidate bird ecological source area and the candidate amphibian ecological source area.

[0012] This invention also provides an ecological security pattern construction device for the coordinated protection of birds and amphibians, comprising the following modules: a habitat quality module, used to determine the habitat quality index of the target area based on an ecosystem service function assessment and trade-off model and a land use remote sensing monitoring dataset of the target area; a landscape type module, used to determine multiple landscape types of the target area based on a morphological spatial pattern analysis model and a binarized image of the target area; an ecological source area module, used to determine candidate ecological source areas for birds and amphibians based on the habitat quality index and the multiple landscape types; and a landscape connectivity module, used to determine the landscape connectivity index of the candidate ecological source areas for birds and the landscape connectivity index of the candidate amphibians. The system includes: a landscape connectivity index for candidate ecological source areas; a grading module for classifying candidate bird and amphibian ecological source areas based on the landscape connectivity index to determine species-co-existing ecological source areas; an ecological resistance module for determining the set of ecological resistance surfaces of the species-co-existing ecological source areas based on preset ecological resistance factors, wherein the set of ecological resistance surfaces includes: bird ecological resistance surfaces, amphibian ecological resistance surfaces, and dual-species-co-existing resistance surfaces; and an ecological security module for determining the ecological security pattern of bird and amphibian co-protection based on the set of ecological resistance surfaces of the species-co-existing ecological source areas according to circuit theory, wherein the ecological security pattern includes: ecological corridors, ecological pinch points, and ecological barrier points.

[0013] The present invention also provides an electronic device, including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein when the processor executes the program, it implements the method for constructing an ecological security pattern for the coordinated protection of birds and amphibians as described above.

[0014] The application further provides a non-transitory computer-readable storage medium having stored thereon a computer program which, when executed by a processor, implements any one of the above-mentioned methods for constructing an ecological safety pattern for bird and amphibian collaborative protection.

[0015] The application further provides a computer program product comprising a computer program which, when executed by a processor, implements any one of the above-mentioned methods for constructing an ecological safety pattern for bird and amphibian collaborative protection.

[0016] The method for constructing an ecological safety pattern for bird and amphibian collaborative protection provided by the application first determines a habitat quality index based on ecosystem service function evaluation, combines morphological analysis to divide landscape types, and jointly supports identification of bird and amphibian ecological source candidate areas; then quantifies a landscape connectivity index between the two types of candidate areas to screen and grade to form a species collaborative ecological source; subsequently, an ecological resistance surface set containing the differences and collaborative characteristics of the two species is constructed based on an ecological resistance factor, and finally, a collaborative safety pattern containing ecological corridors, pinch points and obstacle points is generated by dynamically simulating the migration process of the species using circuit theory; effectively solving the spatial collaboration problem of cross-group protection. BRIEF DESCRIPTION OF DRAWINGS

[0017] In order to more clearly illustrate the technical solutions in the application or prior art, the following will briefly introduce the drawings needed to be used in the embodiments or prior art description one by one. Obviously, the drawings in the following description are some embodiments of the application, and for those skilled in the art, other drawings can also be obtained without creative labor based on these drawings.

[0018] Figure 1 is a flowchart of the method for constructing an ecological safety pattern for bird and amphibian collaborative protection provided by the application.

[0019] Figure 2 is a technical roadmap provided by the application.

[0020] Figure 3 is a spatial distribution of bird and amphibian habitat quality in a target area provided by the application.

[0021] Figure 4 is a schematic diagram of the spatial distribution of morphological spatial pattern analysis of bird and amphibian in a target area provided by the application.

[0022] Figure 5 is a schematic diagram of the ecological resistance surface of a target area provided by the application.

[0023] Figure 6 is a schematic diagram of the bird and amphibian species ecological corridor in a target area provided by the application.

[0024] Figure 7 is a schematic diagram of the bird and amphibian species ecological pinch point of the target region provided by the present application.

[0025] Figure 8 is a schematic diagram of the bird and amphibian species ecological barrier point of the target region provided by the present application.

[0026] Figure 9 is a schematic diagram of the ecological security pattern facing the coordination of two species provided by the present application.

[0027] Figure 10 is a module schematic diagram of the ecological security pattern construction device facing the coordination of birds and amphibians provided by the present application.

[0028] Figure 11 is a schematic diagram of the physical structure of the electronic device provided by the present application. DETAILED DESCRIPTION

[0029] In order to make the objects, technical solutions and advantages of the present application clearer, the technical solutions in the present application will be described clearly and completely below in combination with the drawings in the present application. Obviously, the described embodiments are part of the embodiments of the present application, rather than all the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without creative labor fall within the scope of protection of the present application.

[0030] In recent years, with the continuous expansion of urbanization and human activities, the ecological security pattern (natural ecological pattern) has been suffering from increasingly serious damage, leading to ecosystem degradation, biological habitat fragmentation and species diversity decline, and regional ecological security is facing unprecedented challenges, especially in the Great Lakes Basin. In the face of the above problems, traditional point protection, such as the delimitation of nature reserves, has been difficult to cope with large-scale ecological degradation.

[0031] Ecological network is an important part of ecological security pattern, and by constructing ecological network, the ecological security pattern can be optimized, and the regional ecological security level can be improved. The construction of ecological network refers to identifying and protecting key elements in ecological processes, such as ecological sources, ecological corridors, ecological pinch points and ecological barrier points, so as to form a network-like spatial structure. Therefore, the conventional process of current ecological security pattern construction generally includes ecological source identification, ecological resistance surface construction, ecological corridor extraction and other links. The mainstream technical route mainly includes the following categories: For example, source identification and grading technology based on ecosystem service function.

[0032] Commonly used methods include assigning ecological service importance according to land use / cover type, and identifying key ecological patches (such as forests, water bodies, wetlands, etc.) as ecological sources based on species habitat suitability or ecosystem service value.

[0033] For example, resistance surface construction technology.

[0034] Based on expert evaluation and calibrated ecological resistance surface refers to assigning initial resistance values to different resistance factors and land types by consulting literature, expert questionnaires or organizing ecological expert seminars, adjusting resistance values according to species ecological characteristics (such as migration ability, habitat preference), and in conditions, using known species distribution data for parameter calibration or sensitivity analysis.

[0035] Although the construction technology of ecological safety pattern has been widely studied and preliminarily applied, there are still obvious deficiencies in the coordinated protection of multiple species, regional adaptability, and technical integration, which cannot meet the needs of coordinated protection of birds and amphibians in the complex ecological system of the Great Lakes Basin: Most existing ecological safety pattern construction technologies are based on a single species or a certain type of indicator species (such as giant pandas and Asian elephants) for habitat suitability evaluation and ecological network identification, without fully considering the significant differences in habitat selection, migration ability, and threat sensitivity among different groups, leading to ecological safety patterns that are difficult to meet the ecological needs of multiple species, which is not conducive to the realization of comprehensive biodiversity protection goals.

[0036] Existing technologies for extracting ecological sources rely on land use data, habitat quality assessment results, or species richness indicators, and use threshold screening and patch analysis to determine the range of ecological sources. However, these extraction techniques often lack empirical verification steps and cannot effectively verify the extraction results with actual species distribution data or ecological monitoring data. Especially in the context of multiple species protection, the suitability and representativeness of ecological sources should be more focused on the degree of agreement with species habitat distribution, otherwise it will affect the scientificity and effectiveness of subsequent ecological network construction.

[0037] In the process of constructing ecological resistance surface, existing methods generally use fixed weights or expert evaluation to process different threat sources (such as roads, towns, and farmland), without distinguishing the different responses of different species to various threat factors, which affects the authenticity and accuracy of the resistance surface.

[0038] Based on the above problems, there is a need for an ecological safety pattern construction technology that adapts to the ecological environment characteristics of the Great Lakes Basin and can consider the differences in ecological needs of typical bird and amphibian species in the Great Lakes Basin, to support more scientific, systematic, and operational regional ecological protection and land space optimization.

[0039] The method aims at solving the technical defects of the existing ecological safety pattern construction, such as insufficient coordination of multiple species, poor adaptability of characteristic regions, lack of verification of ecological source extraction and one-sided construction of resistance surface.

[0040] Optionally, the method for constructing the ecological safety pattern for bird and amphibian collaborative protection can be executed by a server, a terminal device or both.

[0041] Figure 1 The method for constructing the ecological safety pattern for bird and amphibian collaborative protection provided by the application is shown in the flowchart as shown in the figure. Figure 1 The method comprises the following steps.

[0042] In step 101, the habitat quality index of the target region is determined based on the land use remote sensing monitoring data set of the target region according to the ecosystem service function evaluation and trade-off model.

[0043] The application comprehensively utilizes the observation records of species, habitat suitability model and biodiversity grid data, identifies the ecological source through the combination of superposition analysis and statistical test, and introduces the biodiversity hotspot verification mechanism, so as to effectively improve the accuracy and ecological representativeness of source identification, and solve the problem of lack of ecological empirical support in the traditional method.

[0044] The application adopts a multi-period land use remote sensing monitoring data set, and the data spatial resolution of the data set is 30 m.

[0045] In addition, the application adopts the MODIS image MOD13Q1 product, the spatial resolution of which is 250 m, and the time resolution is 16 days, and the maximum synthesis method is used to synthesize annual data. The digital elevation model data is obtained from the 30 m resolution digital elevation data of GDEMV3 provided by the geographic spatial data cloud platform, and the elevation and slope data are extracted by ArcGIS. The road data is obtained from the OpenStreetMap platform, and the expressway and trunk road of the target region are extracted, and the extracted road data is topologically processed by ArcGIS.

[0046] The application obtains the biodiversity data of bird and amphibian species in the target region through the world biodiversity map platform, and the spatial resolution is 10000 m. The building data is obtained from the OpenStreetMap platform, and the points of interest that may affect the migration of bird and amphibian species are extracted.

[0047] Finally, the bird watching data used by the present application come from the public observation records of the Bird Watching Recording Center, which provides an important basis for verifying the spatial distribution of regional bird habitat quality.

[0048] Reference Figure 2 , Figure 2 is the technical roadmap provided by the present application.

[0049] As Figure 2 shown, the technical process of constructing a bird and amphibian species collaborative protection ecological safety pattern is shown. The process is carried out from top to bottom: first, data collection (including land use data, digital elevation data, vegetation cover data, water system data, road data, POI data, biodiversity data) is carried out; then, the habitat quality spatial pattern analysis (such as the InVEST model) is used to evaluate the habitat quality of birds and amphibians respectively, and the bird and amphibian biodiversity is verified; then, the morphological spatial pattern analysis (MSPA) is used to extract the core area; on this basis, the ecological source area is extracted, the high-quality ecological source area and the core area of birds and amphibians are identified, and the landscape connectivity analysis (PC, IIC) is combined to divide the levels; then, the ecological resistance surface is constructed, considering the resistance factors such as land use, elevation, slope, NDVI, road, POI, water system and their weights; then, the ecological network is constructed, and the ecological corridor, ecological pinch point, ecological obstacle point, key protection area and priority restoration area are identified; finally, the ecological safety pattern of bird and amphibian species collaborative protection is formed.

[0050] In the embodiment of the present application, the habitat quality module in the ecosystem service function evaluation and trade-off model (Integrated Valuation of Ecosystem Services and Trade-offs, InVEST) is used to establish a connection between the sensitivity of organisms to threat sources and the suitability of different types of land use, and then to evaluate the habitat quality condition under different landscapes. The ecosystem service function evaluation and trade-off model can not only reflect the relative high and low of habitat quality in a region, but also reveal the spatial variation. Because the InVEST model has the advantages of easy operation and stable analysis results, it is considered as one of the most mature models for evaluating ecological source area, and has been widely used in the extraction of ecological source area.

[0051] According to the ecological safety pattern construction method for bird and amphibian collaborative protection provided by the present application, according to the ecosystem service function evaluation and trade-off model, the habitat quality index of the target region is determined based on the land use remote sensing monitoring data set of the target region, including: Obtain the habitat degradation degree of each grid unit under the target land use cover type in the land use remote sensing monitoring data set of the target region; Based on the habitat degradation degree of each grid unit, the habitat quality index of the target area is determined.

[0052] In the embodiment of the present application, the habitat quality index is an important indicator for evaluating the habitat adaptability of land use types, and the numerical value of the habitat quality index can also reflect the anti-interference ability level of the ecological environment in the face of various threat factors.

[0053] In some embodiments, the land use cover types of the habitats of birds and amphibians are extracted from the land use remote sensing monitoring data set of the target area, respectively. For example, the land use cover types of the bird habitat are forest land (including arbor forest, shrub forest), natural water area (river, lake), and marsh wetland; the land use cover types of the amphibian habitat are paddy field, high coverage grassland, shallow water wetland, and marsh area.

[0054] Based on the differences in species ecological sensitivity (such as birds being sensitive to noise and light disturbance, and amphibians being sensitive to water chemical substances), different weights are assigned to different stress factors, and based on the land use cover types of the target area, a spatialized habitat degradation degree grid layer is generated.

[0055] Each type of land use cover type is given a habitat suitability value (such as forest land suitability 0.9, farmland suitability 0.3), and combined with the habitat degradation degree grid layer, the habitat quality index of each grid unit is calculated through a nonlinear conversion model.

[0056] Reference Figure 3 , Figure 3 The present application provides a spatial distribution of bird and amphibian habitat quality in a target area, which includes (a) birds and (b) amphibians, and the corresponding habitat quality index.

[0057] Through the embodiment of the present application, by obtaining the habitat degradation degree of each grid unit under a specific land use cover type in the land use remote sensing monitoring data set of the target area, the degradation degree of the bird and amphibian living environment in different regions and different land use conditions can be quantified, which provides fine data support for in-depth analysis of habitat changes, and helps to accurately identify the key areas and influencing factors of habitat degradation.

[0058] According to the ecological safety pattern construction method for bird and amphibian collaborative protection provided by the present application, based on the habitat degradation degree of each grid unit, the habitat quality index of the target area is determined, which includes: According to the following formula, the habitat quality index of the target area is determined: wherein, represents the land use cover type under the first Habitat quality index of each grid cell, Indicates land use and cover types Habitat suitability Indicates land use and cover types Next Habitat degradation of each grid cell This represents the preset half-saturation constant.

[0059] Here, Indicates land use and cover types The habitat suitability is defined in the range [0,1], with a value closer to 1 indicating higher habitat quality. This represents the preset half-saturation constant, which is usually half of the maximum degradation degree, with a default value of 0.5.

[0060] In some embodiments, habitat suitability is assigned to each land use cover type. (such as woodland) =0.9, farmland =0.3).

[0061] When habitat degradation When the habitat quality index approaches 0, Approaching habitat suitability (Represents the optimal quality under undisturbed conditions); when habitat degradation... At extremely high levels, the habitat quality index Approaching 0 (habitat completely degraded).

[0062] Through the embodiments of this invention, the habitat quality index of each grid cell under a specific land use cover type can be accurately calculated using a given formula. This quantification method makes habitat quality no longer an abstract concept, but something that can be measured with concrete numerical values, providing intuitive and accurate data support for subsequent ecological protection decisions.

[0063] According to the method for constructing an ecological security pattern for the coordinated protection of birds and amphibians provided by the present invention, the degree of habitat degradation is determined according to the following formula: in, Indicates land use and cover types Next Habitat degradation of each grid cell The number of stress factors; Stress factor The raster cell index; The total number of raster cells representing the stress factor; Stress factor The weights; For raster cell indexing The stress factor value; For raster cell indexing Stress factor value For the The stress level of each grid cell; For the stress factor on the first Reachability of individual grid cells; Land use and cover types stress factors The degree of sensitivity.

[0064] In an embodiment of the present invention, For raster cell indexing Stress factor value For the The stress level of each grid cell, Threat sources can be categorized into linear decay (e.g., arable land) and exponential decay (e.g., urban and rural land, industrial and mining land, and residential land), specifically represented as follows: Linear decay: Exponential decay: in, For the first The grid cell and the first The straight-line distance between grid cells; Indicating stress factor The maximum stress distance.

[0065] This invention comprehensively considers multiple factors to determine habitat degradation. These factors include the number of stress factors, the index and total number of raster cells for different stress factors, stress factor weights, raster cell stress factor values, stress levels, accessibility, and the sensitivity of land use cover types to stress factors. By incorporating these factors into the calculation, the combined impact of various factors on habitat degradation can be comprehensively and systematically assessed, making the determination of habitat degradation more scientific and accurate, and avoiding the one-sidedness of assessments based on single factors.

[0066] Step 102: Based on the morphological spatial pattern analysis model and the binarized image of the target area, determine multiple landscape types of the target area.

[0067] Morphological Spatial Pattern Analysis (MSPA) is a kind of classification processing technology based on mathematical morphology, which divides the pixels of a binary image into seven mutually exclusive landscape types, including core area, isolated island, pore, edge area, bridging area, ring and branch, and generally selects the core area as the main area of the ecological source.

[0068] In the embodiment of the present application, the land use type raster data of the target area is used, and the forest land (woodland, shrub land, sparse forest land and other forest land), water area (river, lake, reservoir pit, beach) and marsh land which are suitable for bird habitat are taken as foreground elements, and the paddy field, woodland, shrub land, high coverage grassland, water area (river, lake, reservoir pit, beach) and marsh land which are suitable for amphibian habitat are taken as foreground elements, and are respectively assigned a value of 2; and other land use types are taken as background elements and are respectively assigned a value of 1. MSPA processing is performed by Guidos Toolbox 3.0 software to generate seven different landscape types.

[0069] Reference Figure 4 , Figure 4 is a schematic diagram of the spatial distribution of the morphological spatial pattern analysis of birds and amphibians in the target area provided by the present application, which includes (a) birds and (b) amphibians, and a plurality of corresponding landscape types (pore, core area, branch, background, edge area, isolated island, bridging area and ring island area).

[0070] Step 103, based on the habitat quality index and the plurality of landscape types, respectively determining the bird ecological source candidate area and the amphibian ecological source candidate area.

[0071] In the embodiment of the present application, the area where the habitat quality index of the bird and the amphibian is higher than 0.8 and the landscape type is the core area is taken as the ecological source candidate area.

[0072] Step 104, respectively determining the landscape connectivity index of the bird ecological source candidate area and the landscape connectivity index of the amphibian ecological source candidate area.

[0073] In the embodiment of the present application, the landscape connectivity refers to the degree of convenience or hindrance of the migration of organisms between patches, and the landscape connectivity index is a key indicator for measuring the survival ability of species migration, and by calculating the possible connectivity index of the landscape patch and the overall connectivity index, the landscape connectivity of each patch can be better reflected, which can assist in identifying different levels of ecological source.

[0074] In the embodiment of the present application, Conefor2.6 software is used to calculate the landscape patch possible connectivity index and the overall connectivity index, so as to better reflect the landscape connectivity of each patch.

[0075] In step 105, based on the landscape connectivity index, the bird ecological source candidate area and the amphibian ecological source candidate area are graded, and the species synergistic ecological source is determined.

[0076] In the embodiment of the present application, the ecological source of the bird and amphibian species is divided into grades.

[0077] According to the ecological safety pattern construction method for bird and amphibian collaborative protection provided by the present application, based on the landscape connectivity index, the bird ecological source candidate area and the amphibian ecological source candidate area are graded, and the species synergistic ecological source is determined, which comprises the following steps: determining the possible connectivity index and the overall connectivity index between the first patch and the second patch in the bird ecological source candidate area and the amphibian ecological source candidate area; determining the possible connectivity index and the overall connectivity index between the first patch and the second patch in the bird ecological source candidate area and the amphibian ecological source candidate area; based on the possible connectivity index and the overall connectivity index, determining the landscape connectivity index between the first patch and the second patch; based on the possible connectivity index and the overall connectivity index, determining the landscape connectivity index between the first patch and the second patch; taking multiple patches with the landscape connectivity index greater than the connectivity threshold value and being both the bird ecological source candidate area and the amphibian ecological source candidate area as the species synergistic ecological source. In the embodiment of the present application, for each patch (such as a forest land patch and a wetland patch) in the bird and amphibian ecological source candidate area, the contribution probability of the patch to the overall ecological network is quantified: the connectivity probability of all patch pairs is calculated through the patch area between the patches and the maximum diffusion possibility between the patches; and the local connectivity efficiency is calculated based on the number of shortest path connections between the patches.

[0078] In the embodiment of the present application, for each patch (such as a forest land patch and a wetland patch) in the bird and amphibian ecological source candidate area, the contribution probability of the patch to the overall ecological network is quantified: the connectivity probability of all patch pairs is calculated through the patch area between the patches and the maximum diffusion possibility between the patches; and the local connectivity efficiency is calculated based on the number of shortest path connections between the patches.

[0079] The adjacent and index qualified patches are combined into a composite ecological source (such as the intersection area of the bird forest land patch and the amphibian wetland patch), and a spatial distribution map of the species synergistic ecological source is formed.

[0080] ​​​​​Through embodiments of the present invention, by calculating the potential connectivity index and the overall connectivity index, and based on these, determining the landscape connectivity index, the connectivity status between different patches in candidate bird and amphibian ecological source areas is comprehensively and meticulously assessed. The potential connectivity index focuses on reflecting the potential connection possibility between patches, while the overall connectivity index considers the connectivity of the entire regional patch network. Combining the two can more accurately represent the actual connectivity level between patches, avoiding the limitations of single-indicator assessment.

[0081] According to the present invention, a method for constructing an ecological security pattern for the coordinated protection of birds and amphibians is provided, wherein the connectivity index is determined according to the following formula: The overall connectivity index is determined according to the following formula: in, Indicates the potential connectivity index. Represents the overall connectivity index. This represents the total number of patches within the candidate bird and amphibian ecological source areas. Indicates the first One patch, Indicates the first One patch, Indicates the first The first patch and the first The greatest probability of spread between patches Indicates the first The first patch and the first The number of shortest path connections between patches This represents the total landscape area within the candidate bird and amphibian ecological source areas.

[0082] Here, and The higher the value, the higher the connectivity of the plaque.

[0083] This invention, in its embodiments, proposes a source area ranking technique based on species migration characteristics, addressing the differing roles of source areas in network structures, thereby effectively improving the accuracy of source area identification. This invention calculates the source areas for birds and amphibians respectively. (Probability of Connectivity) and (Integral Index of Connectivity) metric. The index reflects the probability of an ecological patch contributing to the maintenance of the connectivity of the entire ecological network, emphasizing overall circulation capacity, and is suitable for measuring the network needs of long-distance migratory species such as birds. The index measures the strength of the connection between an ecological patch and its surrounding nodes in the spatial structure, and is more suitable for assessing the dependence of short-distance migrating species such as amphibians on local connectivity.

[0084] Traditional technologies typically and The indicators are assigned equal weight (50% each), and ecological source areas are classified into different levels based on a comprehensive score. However, this technique does not consider the significant differences in migration behavior among different groups. To more scientifically reflect the ecological network needs of birds and amphibians, this invention classifies ecological source areas based on migration characteristics. and The indicators are assigned different weights: for bird habitats, : The weighting is 3:7, emphasizing its dependence on long-distance connectivity and cross-regional mobility; for amphibian ecological sources, : The weighting of 6:4 highlights the sensitivity to local connectivity and short-range diffusion.

[0085] The introduction of this differentiated weighting not only enhances the species adaptability of the ecological source area classification, but also improves the overall expressive ability of the constructed ecological network while meeting the ecological needs of multiple groups.

[0086] Through embodiments of the present invention, a connectivity index may be obtained. The double summation method covers all patch combinations, comprehensively considering the potential connectivity between patches within the candidate bird and amphibian habitat areas. Overall Connectivity Index The same double summation method is used to cover all patch combinations, but an additional step is introduced during the calculation. (Number of connections along the shortest path). This parameter takes into account the actual paths connecting patches, providing a more accurate reflection of the channels through which matter, energy, and species flow in the ecosystem.

[0087] Step 106: Based on the preset ecological resistance factors, determine the set of ecological resistance surfaces of the species co-existing ecological source areas.

[0088] The set of ecological resistance surfaces includes: bird ecological resistance surfaces, amphibian ecological resistance surfaces, and dual-species synergistic resistance surfaces.

[0089] Ecological resistance surface is a spatial layer used to characterize the degree of "resistance" exerted by landscape units on species migration or ecological process transmission, and is one of the key basic data in ecological network construction. The core idea is to spatialize various natural and human environmental factors and give them "passing cost" in the sense of ecology, forming a spatial model reflecting the heterogeneity of ecological flow. The higher the resistance value, the greater the resistance of the region to biological movement. The current mainstream resistance surface construction technology mainly includes resistance value superposition of multiple environmental factors, expert assignment and calibration, etc.

[0090] The resistance value superposition based on multiple environmental factors usually takes land use type, terrain slope, road density, human activity intensity (such as night light data, population density, building density) as the basis, and integrates them into a comprehensive resistance surface through standardization and weighted superposition technology. The weight can be determined by expert scoring method or multi-index decision-making technology such as principal component analysis.

[0091] Reference Figure 5 , Figure 5 is a schematic diagram of the ecological resistance surface of the target region provided by the present application. It includes: a bird comprehensive resistance surface (i.e. a bird ecological resistance surface), an amphibian comprehensive resistance surface (i.e. an amphibian ecological resistance surface), and a bird and amphibian comprehensive resistance surface (i.e. a double-species collaborative resistance surface).

[0092] Step 107, according to the circuit theory, based on the set of ecological resistance surfaces of the species collaborative ecological source, determine the ecological security pattern of bird and amphibian collaborative protection.

[0093] Among them, the ecological security pattern includes: ecological corridor, ecological pinch point and ecological barrier point.

[0094] Ecological corridor is a linear landscape connecting isolated ecological sources, which is crucial for enhancing landscape connectivity. The current mainstream technology includes corridor simulation technology based on least cumulative resistance (Least-cost Path, LCP) and circuit theory (Circuit Theory).

[0095] LCP emphasizes the shortest path connection, which is suitable for identifying the optimal path between core patches, thereby reducing external interference; however, the migration path of species may have diversity, and relying only on the shortest path may be too simple, and the circuit theory simulates the diversity and randomness of ecological flow path, which quantifies multiple possible paths in the landscape to simulate the route of biological movement, which is more close to the actual migration process of biology.

[0096] On the basis of identifying ecological corridors, the key nodes and vulnerable links in the ecological network are identified, and the identification of ecological pinch points and ecological barrier points provides scientific support for the optimization of ecological network and the improvement of ecological system connectivity.

[0097] The ecological flow path model based on the circuit theory can quantify multiple biological migration paths in the landscape, and by identifying the high value area of the cumulative current value, the position of the ecological pinch point can be revealed, and these areas often carry a large amount of biological flow. At the same time, the high value area of the cumulative resistance can indicate the position of the ecological barrier point, and these areas form a serious barrier to species migration and are sensitive areas affecting ecological connectivity.

[0098] The identification technology of the ecological pinch point and the barrier point mainly takes the circuit theory as the core, and combines the construction of the ecological resistance surface, the cumulative current and resistance analysis.

[0099] In the embodiment of the present application, the ecological corridor forms a low-resistance path connecting the ecological source when the animals migrate, and ensures the smooth flow of each element in the ecological network. The present application takes the ecological source as the basis, and uses the linkage Mapper module in Circuitscape to extract the ecological corridor.

[0100] The ecological pinch point refers to the landscape element that plays a core role in the connectivity between ecological sources. From the perspective of circuit theory, the ecological pinch point is particularly important due to its high current density and irreplaceable characteristics. The degradation or loss of this area may cut off the connection between ecological sources, so it should be considered as an ecological area that needs to be protected. The present application uses the Pinchpoint Mapper tool of the Circuitscape software and adopts the "all to one" mode for iterative operation to identify the pinch point in the ecological environment.

[0101] Compared with the ecological pinch point, the ecological barrier point refers to the barrier area encountered by species when moving between different ecological sources. By setting a specific search radius and using circuit theory, the degree of current recovery after removing these barrier points is calculated, and thus the specific position of the ecological barrier point can be determined. Eliminating these established barriers can enhance the connectivity between ecological sources. The present application uses the "Maximum" mode in the Barrier Mapper tool of the Circuitscape software for iterative operation to identify the ecological barrier point.

[0102] Reference Figure 6 , Figure 6 is a schematic diagram of the bird and amphibian species ecological corridor of the target area provided by the present application, which includes: bird ecological source and bird ecological flow path, amphibian ecological source and amphibian ecological flow path, and bird and amphibian collaborative ecological source and bird and amphibian collaborative ecological flow path.

[0103] Reference Figure 7 , Figure 7is a schematic diagram of the bird and amphibian species ecological pinch point of the target region provided by the present application, which comprises: (a) birds, (b) amphibians, and (c) bird-amphibian coordination, and specifically comprises: cumulative current intensity value (high, low) and ecological pinch point, ecological source.

[0104] Reference Figure 8 , Figure 8 is a schematic diagram of the bird and amphibian species ecological pinch point of the target region provided by the present application, which comprises: (a) birds, (b) amphibians, and (c) bird-amphibian coordination, and specifically comprises: cumulative current intensity value (high, low) and ecological pinch point, ecological source.

[0105] In the embodiment of the present application, first, the habitat quality index of bird species and amphibian species in the target region (watershed) is calculated by the InVEST model, and verified by using bird species and amphibian species biodiversity data; then, based on the habitat quality index and morphological spatial pattern analysis (MSPA), high-quality ecological source of bird and amphibian species is screened; based on human activities and natural geographical elements, relevant resistance factors are selected to construct the ecological resistance surface of birds, amphibians and double-species coordination, and based on the circuit theory, the ecological corridor of birds, amphibians and double-species coordination is constructed, and the ecological pinch point and obstacle point are identified, and finally the key spatial location of bird and amphibian species coordination protection is determined.

[0106] In the embodiment of the present application, the ecological demand characteristics of typical indicator species (birds and amphibians) are focused on, and methods such as InVEST model, MSPA model, minimum cumulative resistance model (MCR) and circuit theory of Circuitscape are comprehensively used, from habitat quality assessment, ecological source identification, ecological resistance surface construction to ecological corridor extraction and ecological network optimization, to systematically construct the ecological network for multiple species, and the main findings are as follows: The overall habitat condition of the target region watershed in 2020 is good, but there is obvious difference among species. The average habitat quality index of birds is 0.70, showing strong spatial heterogeneity, and is significantly affected by urbanization and human activities, and the proportion of low-quality habitat area is high. In contrast, the average habitat quality index of amphibians is 0.74, and the high-quality area is widely distributed, showing strong environmental adaptability and high habitat integration. Overall, the two types of species have certain complementarity in habitat space, providing a good foundation for subsequent coordinated protection and ecological network optimization.

[0107] Through habitat quality index of birds and amphibians and morphological spatial analysis, 69 bird ecological sources in the target area were extracted, accounting for 9.00% of the area of the study area, of which 30 were first-class sources, 16 were second-class sources, and 23 were third-class sources. A total of 102 amphibian ecological sources were extracted, accounting for 17.27% of the area of the study area, of which 23 were first-class sources, 14 were second-class sources, and 65 were third-class sources. The bird ecological sources are mainly concentrated in the forest and lakeside areas in the southern part of Yueyang, and are distributed in large patches; the amphibian ecological sources are mainly distributed in the paddy field and wetland patches in the plain area, and are densely distributed in small patches. The two types of sources are nested in some areas, and have the potential for coordinated protection.

[0108] Based on the minimum cumulative resistance model and circuit theory, 46 bird ecological corridors, 38 amphibian ecological corridors and 114 bird and amphibian collaborative ecological corridors were extracted in the target area. The bird corridors are mainly constructed between large-scale ecological patches, emphasizing long-distance migration and wide-area connectivity; the amphibian corridors are densely distributed between small-scale farmland and wetland, emphasizing the construction of local ecological channels.

[0109] According to the ecological corridor and circuit theory, 212 bird ecological pinch points and ecological barrier points, 90 amphibian ecological pinch points and 496 ecological barrier points, and 286 bird and amphibian collaborative ecological pinch points and barrier points were identified, which revealed the key connection nodes and limiting areas of the ecological network of the target area.

[0110] In summary, based on the multi-source data and multi-model integrated ecological network construction method, the ecological safety pattern and key nodes of the target area can be systematically constructed.

[0111] The present application optimizes and improves three key links of the ecological network construction technical process, significantly improves the scientificity, adaptability and practical application value of the network construction, and the specific technical advantages are as follows: Optimization of InVEST model parameters improves the reliability of ecological source identification.

[0112] The present application is based on the biodiversity data of birds and amphibians, and the habitat quality parameter configuration in the InVEST model is optimized in reverse, so as to improve the ecological effectiveness of habitat assessment. Specifically, based on the spatial distribution data of bird and amphibian diversity, the sensitivity parameters of threat sources and the habitat suitability parameters of land use types in the model are adjusted, so that the spatial correlation between the optimized model output and the bird and amphibian diversity data reaches a three-fold significant level (p<0.001), which is significantly enhanced compared with the parameter adjustment before (i.e. the example parameter value of the habitat quality module of the InVEST model), so as to obtain a habitat quality assessment result which is more matched with the bird and amphibian diversity distribution. Compared with the traditional empirical valuation method, the parameter configuration has a more ecological basis, and the ecological source obtained is highly matched with the actual species distribution in spatial distribution, effectively improving the accuracy and practicality of the identification of ecological source.

[0113] Referring to Table 1, Table 1 is a habitat threat source for birds and its maximum influence distance, weight and attenuation type provided by the present application.

[0114] Table 1 Habitat threat source for birds and its maximum influence distance, weight and attenuation type

[0115] Referring to Table 2, Table 2 is a habitat suitability of different land use types for birds and its sensitivity parameters to threat sources provided by the present application.

[0116] Table 2 Habitat suitability of different land use types for birds and its sensitivity parameters to threat sources

[0117] Referring to Table 3, Table 3 is a habitat threat source for amphibians and its maximum influence distance, weight and attenuation type provided by the present application.

[0118] Table 3 Habitat threat source for amphibians and its maximum influence distance, weight and attenuation type

[0119] Referring to Table 4, Table 4 is a habitat suitability of different land use types for amphibians and its sensitivity parameters to threat sources provided by the present application.

[0120] Table 4 Habitat suitability of different land use types for amphibians and its sensitivity parameters to threat sources

[0121] Compared with the traditional ecological network construction technology based on only a single species or only land use type, the present application constructs an ecological network structure of two-species synergy by superimposing the source and resistance surface data of birds and amphibians. The network achieves a better balance between ecological connectivity and construction cost: compared with the single-species network, the cost is lower and the coverage is wider; compared with the non-species-oriented general ecological network, it is more in line with the actual specific ecological flow field demand.

[0122] Reference Figure 9 , Figure 9 is a schematic diagram of the ecological safety pattern provided by the present application for two-species synergy, which includes: a two-species ecological source, a two-species ecological corridor, a bird ecological source, a bird ecological corridor, an amphibian ecological source, and an amphibian ecological corridor.

[0123] To further improve the adaptability and robustness of ecological network construction, the present application can also be expanded or replaced by the following technical path: Alternative scheme for extracting ecological source: The current scheme extracts the source based on the combination of habitat quality model and species diversity data; in areas where species data is lacking, the following methods can be used as an alternative: directly extracting ecological source using spatial boundary data such as nature reserves, key ecological function zones, and ecological red line zones; using ecological indicators such as NDVI index to construct a source base layer, and then screening in combination with ecological importance zoning. Although the accuracy of the source result may not be as good as the scheme based on species distribution, it is suitable for areas with insufficient basic data and is easy to promote and apply.

[0124] Alternative path for constructing ecological resistance surface: Use machine learning methods (such as random forest, support vector machine) to train and generate resistance surface according to known species occurrence scenarios; integrate time-series remote sensing data (such as night light, NDVI change) to dynamically construct resistance layers. Although these methods require higher data and computing power, they can better reflect real ecological processes.

[0125] Single-species ecological network construction as a transitional path: If only single-species ecological demand data (such as only bird survey data) is available in actual application, the ecological network can still be constructed based on this species group for the time being. Subsequently, it can be extended to a multi-species integrated synergy network, and gradually evolved into the two-species network structure in the present application.

[0126] The bird and amphibian collaborative protection ecological safety pattern construction device provided by the present application is described below, and the bird and amphibian collaborative protection ecological safety pattern construction device described below can be correspondingly referred to the bird and amphibian collaborative protection ecological safety pattern construction method described above.

[0127] Reference Figure 10 , Figure 10is a module schematic diagram of an ecological security pattern construction device for bird and amphibian collaborative protection provided by the present application.

[0128] The habitat quality module 1001 is configured to determine a habitat quality index of the target region based on a land use remote sensing monitoring data set of the target region according to an ecosystem service function evaluation and trade-off model; The landscape type module 1002 is configured to determine a plurality of landscape types of the target region based on a binary image of the target region according to a morphological spatial pattern analysis model; The ecological source module 1003 is configured to determine a bird ecological source candidate area and an amphibian ecological source candidate area respectively based on the habitat quality index and the plurality of landscape types; The landscape connectivity module 1004 is configured to determine a landscape connectivity index of the bird ecological source candidate area and a landscape connectivity index of the amphibian ecological source candidate area respectively; The hierarchical determination module 1005 is configured to determine a species collaborative ecological source by grading the bird ecological source candidate area and the amphibian ecological source candidate area based on the landscape connectivity index; The ecological resistance module 1006 is configured to determine a set of ecological resistance surfaces of the species collaborative ecological source based on a preset ecological resistance factor, wherein the set of ecological resistance surfaces comprises a bird ecological resistance surface, an amphibian ecological resistance surface and a double-species collaborative resistance surface; The ecological security module 1007 is configured to determine an ecological security pattern for bird and amphibian collaborative protection based on the set of ecological resistance surfaces of the species collaborative ecological source according to circuit theory, wherein the ecological security pattern comprises an ecological corridor, an ecological pinch point and an ecological obstacle point.

[0129] Specifically, the above-mentioned ecological security pattern construction device for bird and amphibian collaborative protection provided by the present application can realize all method steps realized by the above-mentioned ecological security pattern construction method for bird and amphibian collaborative protection, and achieve the same technical effects. Therefore, the same parts and beneficial effects of the method embodiment will not be described in detail.

[0130] Figure 11 is a physical structure schematic diagram of an electronic device provided by the present application, such as Figure 11As shown, the electronic device can include a processor 1110, a communications interface 1120, a memory 1130, and a communications bus 1140, wherein the processor 1110, the communications interface 1120, and the memory 1130 complete mutual communication through the communications bus 1140. The processor 1110 can invoke a logical instruction in the memory 1130 to execute an ecological safety pattern construction method for bird and amphibian collaborative protection, which includes: determining a habitat quality index of a target region based on a land use remote sensing monitoring data set of the target region according to an ecosystem service function evaluation and trade-off model; determining a plurality of landscape types of the target region based on a binary image of the target region according to a morphological spatial pattern analysis model; respectively determining a bird ecological source candidate area and an amphibian ecological source candidate area based on the habitat quality index and the plurality of landscape types; respectively determining a landscape connectivity index of the bird ecological source candidate area and a landscape connectivity index of the amphibian ecological source candidate area; grading the bird ecological source candidate area and the amphibian ecological source candidate area based on the landscape connectivity index to determine a species collaborative ecological source; determining an ecological resistance surface set of the species collaborative ecological source based on a preset ecological resistance factor, wherein the ecological resistance surface set includes a bird ecological resistance surface, an amphibian ecological resistance surface, and a double-species collaborative resistance surface; and determining an ecological safety pattern for bird and amphibian collaborative protection based on the ecological resistance surface set of the species collaborative ecological source according to circuit theory, wherein the ecological safety pattern includes an ecological corridor, an ecological pinch point, and an ecological obstacle point.

[0131] In addition, the logical instruction in the memory 1130 described above can be implemented in the form of a software function unit and sold or used as an independent product, which can be stored in a computer readable storage medium. Based on such understanding, the technical solutions of the present application essentially or the part that contributes to the prior art or part of the technical solutions can be embodied in the form of a software product, and the computer software product is stored in a storage medium, including a plurality of instructions to make a computer device (which can be a personal computer, a server, or a network device, etc.) execute all or part of the steps of the method described in various embodiments of the present application. The foregoing storage medium includes: a U disk, a mobile hard disk, a read-only memory (ROM, Read-Only Memory), a random access memory (RAM, Random Access Memory), a magnetic disk or an optical disk, and various program code storage media.

[0132] In another aspect, the present application also provides a computer program product, which comprises a computer program stored on a non-transitory computer-readable storage medium, and the computer program can be executed by a processor to enable a computer to perform the method for constructing an ecological security pattern for bird and amphibian collaborative protection, which comprises: determining a habitat quality index of a target region based on a land use remote sensing monitoring data set of the target region according to an ecosystem service function evaluation and trade-off model; determining a plurality of landscape types of the target region based on a binary image of the target region according to a morphological spatial pattern analysis model; determining a bird ecological source candidate region and an amphibian ecological source candidate region respectively based on the habitat quality index and the plurality of landscape types; determining a landscape connectivity index of the bird ecological source candidate region and a landscape connectivity index of the amphibian ecological source candidate region respectively; grading the bird ecological source candidate region and the amphibian ecological source candidate region based on the landscape connectivity index to determine a species collaborative ecological source; determining an ecological resistance surface set of the species collaborative ecological source based on a preset ecological resistance factor, wherein the ecological resistance surface set comprises a bird ecological resistance surface, an amphibian ecological resistance surface and a double-species collaborative resistance surface; and determining an ecological security pattern for bird and amphibian collaborative protection based on the ecological resistance surface set of the species collaborative ecological source according to a circuit theory, wherein the ecological security pattern comprises an ecological corridor, an ecological pinch point and an ecological obstacle point.

[0133] In another aspect, the present application also provides a non-transitory computer-readable storage medium having a computer program stored thereon, and the computer program can be executed by a processor to implement the method for constructing an ecological security pattern for bird and amphibian collaborative protection, which comprises: determining a habitat quality index of a target region based on a land use remote sensing monitoring data set of the target region according to an ecosystem service function evaluation and trade-off model; determining a plurality of landscape types of the target region based on a binary image of the target region according to a morphological spatial pattern analysis model; determining a bird ecological source candidate region and an amphibian ecological source candidate region respectively based on the habitat quality index and the plurality of landscape types; determining a landscape connectivity index of the bird ecological source candidate region and a landscape connectivity index of the amphibian ecological source candidate region respectively; grading the bird ecological source candidate region and the amphibian ecological source candidate region based on the landscape connectivity index to determine a species collaborative ecological source; determining an ecological resistance surface set of the species collaborative ecological source based on a preset ecological resistance factor, wherein the ecological resistance surface set comprises a bird ecological resistance surface, an amphibian ecological resistance surface and a double-species collaborative resistance surface; and determining an ecological security pattern for bird and amphibian collaborative protection based on the ecological resistance surface set of the species collaborative ecological source according to a circuit theory, wherein the ecological security pattern comprises an ecological corridor, an ecological pinch point and an ecological obstacle point.

[0134] The device embodiments described above are merely illustrative, wherein the units described as separate components can or can not be physically separate, and the components displayed as units can or can not be physical units, i.e., can be located in one place, or can be distributed to multiple network units. Part or all of the modules can be selected to achieve the purposes of the embodiments according to actual needs. Those skilled in the art can understand and implement without creative labor.

[0135] Through the description of the above embodiments, those skilled in the art can clearly understand that the embodiments can be realized by means of software and the necessary general hardware platform, and of course can also be realized by hardware. Based on such understanding, the above technical solutions can be embodied in the form of a software product, which can be stored in a computer readable storage medium, such as a ROM / RAM, a magnetic disk, an optical disk, etc., and includes a number of instructions to make a computer device (which can be a personal computer, a server, or a network device, etc.) execute the methods described in each embodiment or some parts of the embodiments.

[0136] Finally, it should be noted that: the above embodiments are only used to illustrate the technical solutions of the present application, and not to limit them; although the present application has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that: it can still modify the technical solutions recorded in the foregoing embodiments, or make equivalent replacement for part of the technical features; and these modifications or replacements do not make the essence of the corresponding technical solutions deviate from the spirit and scope of the technical solutions of the embodiments of the present application.

Claims

1. An ecological security pattern construction method for bird and amphibian coordination protection, characterized in that, The method comprises the following steps: determining a habitat quality index of the target region according to an ecosystem service function evaluation and trade-off model and based on a land use remote sensing monitoring data set of the target region; determining a plurality of landscape types of the target region based on a binary image of the target region according to a morphological spatial pattern analysis model; determining a bird ecological source candidate region and an amphibian ecological source candidate region respectively based on the habitat quality index and the plurality of landscape types; determining a landscape connectivity index of the bird ecological source candidate region and a landscape connectivity index of the amphibian ecological source candidate region respectively; grading the bird ecological source candidate region and the amphibian ecological source candidate region based on the landscape connectivity index to determine a species synergistic ecological source; determining a set of ecological resistance surfaces of the species synergistic ecological source based on a preset ecological resistance factor, wherein the set of ecological resistance surfaces comprises a bird ecological resistance surface, an amphibian ecological resistance surface and a double-species synergistic resistance surface; determining an ecological security pattern of bird and amphibian synergistic protection based on the set of ecological resistance surfaces of the species synergistic ecological source according to circuit theory, wherein the ecological security pattern comprises an ecological corridor, an ecological pinch point and an ecological obstacle point.

2. The method according to claim 1, wherein, The method comprises the following steps: obtaining a habitat degradation degree of each grid cell under a target land use cover type in a land use remote sensing monitoring data set of a target region; determining a habitat quality index of the target region based on the habitat degradation degree of each grid cell.

3. The method according to claim 2, wherein, The method comprises the following steps: determining the habitat quality index of the target region according to the following formula: wherein, represents the land use and cover type the habitat quality index of the next grid cell, represents the land use and cover type the habitat suitability of, represents the land use and cover type the habitat degradation of the next grid cell, represents a pre-set half-saturation constant.

4. The method according to claim 3, wherein, The habitat degradation degree is determined according to the following formula: wherein, represents a land use and cover type the habitat degradation degree of the first grid cell, is the number of stressors; is the stressor index of the grid cell; is the total number of grid cells of the stressor; is the weight of the stressor for the grid cell; is the stressor value for the grid cell index; is the stressor value for the grid cell index the stress level of the first grid cell; is the accessibility of the stressor for the first grid cell; is the sensitivity of the land use and cover type to the stressor .

5. The method according to claim 1, wherein, The method comprises the following steps: determining a possible connectivity index between the bird source site candidate and the first patch and the second patch and an overall connectivity index in the amphibian source site candidate; Based on the possible connectivity index and the overall connectivity index, determine the first... The first patch and the first Landscape connectivity index between patches; regarding a plurality of patches with a landscape connectivity index greater than a connectivity threshold value and being both a bird ecological source candidate region and an amphibian ecological source candidate region as a species synergistic ecological source.

6. The method for constructing an ecological security pattern for bird and amphibian synergistic protection according to claim 5, wherein: The possible connectivity index is determined according to the following formula: The overall connectivity index is determined according to the following formula: wherein, represents the possible connectivity index, represents the overall connectivity index, represents the total number of patches in the bird habitat candidate area and the amphibian habitat candidate area, represents the first patch, represents the first patch, represents the first patch and the first patch, represents the first patch and the first patch, represents the total area of the landscape in the bird habitat candidate area and the amphibian habitat candidate area.

7. An ecological security pattern construction device for bird and amphibian coordination protection, characterized in that, The method comprises the following steps: a habitat quality module configured to determine a habitat quality index of a target region according to an ecosystem service function evaluation and trade-off model and based on a land use remote sensing monitoring data set of the target region; a landscape type module configured to determine a plurality of landscape types of the target region based on a binary image of the target region according to a morphological spatial pattern analysis model; an ecological source module configured to determine a bird ecological source candidate region and an amphibian ecological source candidate region respectively based on the habitat quality index and the plurality of landscape types. a landscape connectivity module configured to determine a landscape connectivity index of the bird ecological source candidate area and a landscape connectivity index of the amphibian ecological source candidate area, respectively; a hierarchical determination module configured to hierarchize the bird ecological source candidate area and the amphibian ecological source candidate area based on the landscape connectivity index, and determine a species-coordinated ecological source; an ecological resistance module configured to determine a set of ecological resistance surfaces of the species-coordinated ecological source based on preset ecological resistance factors, wherein the set of ecological resistance surfaces comprises a bird ecological resistance surface, an amphibian ecological resistance surface, and a double-species-coordinated resistance surface; an ecological safety module configured to determine an ecological safety pattern for bird and amphibian coordinated protection based on the set of ecological resistance surfaces of the species-coordinated ecological source according to circuit theory, wherein the ecological safety pattern comprises an ecological corridor, an ecological pinch point, and an ecological obstacle point.

8. An electronic device comprising a memory, a processor, and a computer program stored on the memory and running on the processor, characterized in that, The processor executes the computer program to implement the ecological safety pattern construction method for bird and amphibian coordinated protection according to any one of claims 1 to 6. 9.A non-transitory computer-readable storage medium having stored thereon a computer program, characterized in that, The computer program is executed by the processor to implement the ecological safety pattern construction method for bird and amphibian coordinated protection according to any one of claims 1 to 6.

10. A computer program product comprising a computer program, characterized in that, The computer program is executed by the processor to implement the ecological safety pattern construction method for bird and amphibian coordinated protection according to any one of claims 1 to 6.

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